{"id":21299,"date":"2025-12-11T20:58:49","date_gmt":"2025-12-11T20:58:49","guid":{"rendered":"https:\/\/icert.org.in\/?p=21299"},"modified":"2026-02-19T16:11:38","modified_gmt":"2026-02-19T10:41:38","slug":"impact-of-analogies-and-metaphors-in-propagating-misconceptions-in-chemical-education","status":"publish","type":"post","link":"https:\/\/icert.org.in\/index.php\/2025\/12\/11\/impact-of-analogies-and-metaphors-in-propagating-misconceptions-in-chemical-education\/","title":{"rendered":"Impact of Analogies and Metaphors in Propagating Misconceptions in Chemical Education"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"21299\" class=\"elementor elementor-21299\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cbdf4a1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cbdf4a1\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8c4bfde\" data-id=\"8c4bfde\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1491d16 elementor-widget elementor-widget-heading\" data-id=\"1491d16\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Shodh Sari-An International Multidisciplinary Journal<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-304fcf2 elementor-widget elementor-widget-heading\" data-id=\"304fcf2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vol-04, Issue-04 (Oct-Dec  2025)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-803b9b3 elementor-widget elementor-widget-heading\" data-id=\"803b9b3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">An International scholarly\/ academic journal, peer-reviewed\/ refereed journal, ISSN : 2959-1376<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-34ee7da elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"34ee7da\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a5469c2\" data-id=\"a5469c2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-be60801 elementor-widget elementor-widget-heading\" data-id=\"be60801\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Impact of Analogies and Metaphors in Propagating Misconceptions in Chemical Education\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d81b52a elementor-widget elementor-widget-text-editor\" data-id=\"d81b52a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: center; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, Sandeep<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: center; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"background-color: transparent; color: #000000; font-family: Arial, sans-serif; font-size: 12pt; white-space-collapse: preserve; text-indent: -0.05pt;\">Professor of Chemistry, and \u2018by courtesy of Psychology\u2019, School of Applied and Behavioral Sciences, NIILM University, Kaithal, Haryana<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-89bfe55 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"89bfe55\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d163e91\" data-id=\"d163e91\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-74dabc7 elementor-widget__width-inherit elementor-widget elementor-widget-elementskit-simple-tab\" data-id=\"74dabc7\" data-element_type=\"widget\" data-widget_type=\"elementskit-simple-tab.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"ekit-wid-con\" >        <div class=\"elementkit-tab-wraper vertical  elementskit-fitcontent-tab \">\n            <ul class=\"nav nav-tabs elementkit-tab-nav \">\n                                    <li class=\"elementkit-nav-item elementor-repeater-item-ca158ed\">\n                        <a class=\"elementkit-nav-link  active show left-pos\" id=\"content-ca158ed69ecd73f55b52-tab\" data-ekit-handler-id=\"abstract\" data-ekit-toggle=\"tab\" data-target=\"#content-ca158ed69ecd73f55b52\" href=\"#Content-ca158ed69ecd73f55b52\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-ca158ed69ecd73f55b52\">\n                            <span class=\"far fa-file-alt elementskit-tab-icon\"><\/span>                            <span class=\"elementskit-tab-title\"> Abstract<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-73d9415\">\n                        <a class=\"elementkit-nav-link  left-pos\" id=\"content-73d941569ecd73f55b52-tab\" data-ekit-handler-id=\"about-author\" data-ekit-toggle=\"tab\" data-target=\"#content-73d941569ecd73f55b52\" href=\"#Content-73d941569ecd73f55b52\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-73d941569ecd73f55b52\">\n                            <span class=\"far fa-user elementskit-tab-icon\"><\/span>                            <span class=\"elementskit-tab-title\"> About Author<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-e351830\">\n                        <a class=\"elementkit-nav-link  left-pos\" id=\"content-e35183069ecd73f55b52-tab\" data-ekit-handler-id=\"impact-statement\" data-ekit-toggle=\"tab\" data-target=\"#content-e35183069ecd73f55b52\" href=\"#Content-e35183069ecd73f55b52\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-e35183069ecd73f55b52\">\n                            <span class=\"fas fa-file-import elementskit-tab-icon\"><\/span>                            <span class=\"elementskit-tab-title\"> Impact Statement<\/span>\n                        <\/a>\n                    <\/li>\n                                        <li class=\"elementkit-nav-item elementor-repeater-item-bb8dae5\">\n                        <a class=\"elementkit-nav-link  left-pos\" id=\"content-bb8dae569ecd73f55b52-tab\" data-ekit-handler-id=\"cite-this-article\" data-ekit-toggle=\"tab\" data-target=\"#content-bb8dae569ecd73f55b52\" href=\"#Content-bb8dae569ecd73f55b52\"\n                            data-ekit-toggle-trigger=\"click\"\n                            aria-describedby=\"Content-bb8dae569ecd73f55b52\">\n                            <span class=\"far fa-address-card elementskit-tab-icon\"><\/span>                            <span class=\"elementskit-tab-title\"> Cite this Article<\/span>\n                        <\/a>\n                    <\/li>\n                                <\/ul>\n\n            <div class=\"tab-content elementkit-tab-content\">\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-ca158ed  active show\" id=\"content-ca158ed69ecd73f55b52\" role=\"tabpanel\"\n                         aria-labelledby=\"content-ca158ed69ecd73f55b52-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: center; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Abstract<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Analogies and metaphors have been used as teaching tools in chemical education to make complex concepts easier to understand. While they help students grasp ideas at first, these language and visual aids can also create lasting misconceptions that make it hard to understand the material in the long run. This study looks at how analogies and metaphors can both clarify and confuse secondary and undergraduate students. The research identifies specific analogies that lead to misunderstandings, especially in bonding, atomic structure, and acid-base chemistry. It uses a mixed-methods approach that includes diagnostic tests, interviews, and classroom observations. The results show a strong link between everyday analogies and ongoing student misconceptions. These findings suggest that it\u2019s important to rethink teaching methods that depend too much on metaphorical language. Recommendations include creating scientifically accurate but effective analogies for teaching.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: center; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\">\u00a0<\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Keywords:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Chemical education, analogies, metaphors, misconceptions, conceptual understanding, science teaching<\/span><\/p>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-73d9415 \" id=\"content-73d941569ecd73f55b52\" role=\"tabpanel\"\n                         aria-labelledby=\"content-73d941569ecd73f55b52-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">About Author<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Dr Sandeep Kumar<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> is working as Professor of Chemistry and \u2018by courtesy of psychology\u2019 NIILM University Kaithal Haryana, and have more than two decades experience in teaching, research, curriculum development, counselling and leadership. His areas of interest are chemical education, research, behavioural science, teacher education and practices. As resource person, he has conducted more than 225 training programs for the school and higher education teachers. He has been awarded with numerous prestigious National and International Awards. He has participated and presented research articles in more than 200 National and International conferences. He has been invited as keynote speaker, guest of honour, conference chair, and resources person in various National and International Conferences. He is associated with various National and International Organizations.\u00a0<\/span><\/p>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-e351830 \" id=\"content-e35183069ecd73f55b52\" role=\"tabpanel\"\n                         aria-labelledby=\"content-e35183069ecd73f55b52-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Impact Statement<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The use of analogies and metaphors in chemical education, while intended to simplify abstract concepts, often leads to the unintended propagation of misconceptions among learners. This research highlights how commonly used instructional analogies\u2014such as atoms as \u201csolar systems\u201d or electrons \u201corbiting\u201d like planets\u2014can distort students\u2019 mental models and hinder conceptual understanding. By identifying the specific misconceptions arising from these figurative explanations, the study emphasizes the urgent need for more accurate, research-informed pedagogical tools. The findings aim to influence curriculum design, teacher training, and instructional materials, ultimately promoting deeper conceptual clarity and improving scientific literacy. This work contributes to the broader effort to refine teaching strategies in chemistry to ensure that simplification does not compromise scientific accuracy.<\/span><\/p>                        <\/div>\n                    <\/div>\n                                    <div class=\"tab-pane elementkit-tab-pane elementor-repeater-item-bb8dae5 \" id=\"content-bb8dae569ecd73f55b52\" role=\"tabpanel\"\n                         aria-labelledby=\"content-bb8dae569ecd73f55b52-tab\">\n                        <div class=\"animated fadeIn\">\n                            <p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Citation<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">APA 7th Style Citation<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2025). Impact of analogies and metaphors in propagating misconceptions in chemical education. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Shodh Sari \u2013 An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">4<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(04), 306\u2013329. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.59231\/SARI7882\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0563c1; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.59231\/SARI7882<\/span><\/a><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chicago 17th Style Citation<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, Sandeep. &#8220;Impact of Analogies and Metaphors in Propagating Misconceptions in Chemical Education.&#8221; <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Shodh Sari \u2013 An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> 4, no. 4 (2025): 306\u2013329. doi:10.59231\/SARI7882.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">MLA 9th Style Citation<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, Sandeep. &#8220;Impact of Analogies and Metaphors in Propagating Misconceptions in Chemical Education.&#8221; <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Shodh Sari \u2013 An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, vol. 4, no. 4, 2025, pp. 306-29, doi:10.59231\/SARI7882.<\/span><\/p>                        <\/div>\n                    <\/div>\n                                \n            <\/div>\n                    <\/div>\n    <\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section 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class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"sdm_download_count\"><span class=\"sdm_count_number\">89<\/span><span class=\"sdm_count_string\"> Downloads<\/span><\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-04b539f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"04b539f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d471406\" data-id=\"d471406\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-5d94493 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5d94493\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-ddce50e\" data-id=\"ddce50e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1667d42 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"1667d42\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">DOI: <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.59231\/SARI7882\"><span style=\"font-size: 11pt; font-family: Arial,sans-serif; color: #0563c1; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.59231\/SARI7882<\/span><\/a><\/p><p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Subject: Science Education \/ Chemistry \/ Educational Psychology<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Page No 306-329<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-7502a26\" data-id=\"7502a26\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8eb403a elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"8eb403a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Received: July 27, 2025\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Accepted: Sep 07, 2025\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Published: Oct 20, 2025<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf9c469 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"cf9c469\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.2; text-align: justify; margin-top: 0pt; margin-bottom: 8pt;\"><span style=\"font-size: 11pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Thematic Classification: Chemical Education, Analogies and Metaphors, Conceptual Misconceptions, Science Teaching Methods, Atomic Structure, Chemical Bonding, Diagnostic Testing, Pedagogical Language.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e5edf21 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e5edf21\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c4bacdf\" data-id=\"c4bacdf\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-46f9abc elementor-widget elementor-widget-heading\" data-id=\"46f9abc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">1. Introduction and Background \n<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e3c87b elementor-widget elementor-widget-text-editor\" data-id=\"9e3c87b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chemical education requires a deep understanding of concepts that often cannot be directly experienced. Ideas like atomic structure, chemical bonding, acid-base interactions, molecular orbitals, and reaction mechanisms are invisible and quite abstract. To tackle these challenges, educators have traditionally used analogies and metaphors as teaching tools. These tools help students understand complex scientific ideas by relating them to familiar experiences. An analogy maps known ideas, like water flowing through pipes, to abstract concepts, like electric current or molecular diffusion. Metaphors serve as visual and linguistic representations that help learners create mental models by linking unfamiliar chemical concepts to familiar situations. While these methods can boost initial student interest and understanding, they can also solidify misconceptions if the connections between familiar and abstract ideas are incomplete, oversimplified, or incorrect.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">For example, the Bohr model of the atom is often described using the solar system analogy, where electrons are shown as planets orbiting a central nucleus, similar to the sun. Though this analogy provides an easy introduction to atomic structure, it does not reflect the probabilistic nature of electron clouds found in quantum mechanics. Consequently, many students think electrons move in fixed paths, which leads to flawed mental models, even for undergraduates. Likewise, describing covalent bonding as the &#8220;sharing of electrons&#8221; can mislead students into thinking of it as a straightforward exchange instead of a more complex interaction involving atomic orbitals. Such simplifications may seem appealing for teaching, but they often obscure the real complexities of scientific phenomena and hinder the formation of correct conceptual understandings.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Recent research in science education, including studies by Duit (1991), Harrison and Treagust (2006), and Kumar (2024), highlights the dual nature of analogical reasoning. On one side, analogies can encourage creativity and help with knowledge transfer; on the other, they may reinforce misunderstandings if not used carefully. In his study &#8220;An analysis of common misconceptions in chemistry education and practices,&#8221; Kumar (2024) points out that many common misconceptions among secondary and undergraduate students in India arise from the uncritical use of everyday analogies in class and textbooks. This includes the analogy of acids as &#8220;donors&#8221; and bases as &#8220;acceptors,&#8221; which limits understanding of acid-base theories, especially when moving from the Arrhenius to the Br\u00f8nsted-Lowry and Lewis models.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">In another key study, Kumar (2024) looked at the &#8220;Effect of Concept Based Cartoons as art integration on Alternative Concepts in Chemical Bonding&#8221; and found that visual analogies, such as personified atoms and molecules, can both clarify and confuse students depending on how scientifically accurate they are. Likewise, in his work titled &#8220;Remediation of Chemical Bonding Misconception through Conceptual Change Text&#8221; (Kumar, 2024), he stressed the importance of clearly addressing faulty analogies in teaching materials to promote conceptual change. These findings align with global research showing that analogical misconceptions are widespread. Duit (1991) categorized analogies into productive and unproductive types, arguing that productive analogies must consistently match the structure and function of the target concept. Gentner\u2019s (1983) structure-mapping theory also provides a framework to evaluate whether analogical transfer will succeed based on the relationship of the concepts involved. In chemistry education, many commonly used analogies fail this alignment test, leading to what Johnstone (1991) describes as the \u201ctriple representational problem,\u201d where students struggle to connect macroscopic, submicroscopic, and symbolic representations.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Additionally, students often accept these metaphors without questioning their scientific accuracy, especially when reinforced by teachers, textbooks, and tests. As a result, teaching aids can become barriers to learning. In multicultural and multilingual contexts like India, this issue is worsened by translations that change or weaken the meaning of analogies. For instance, the metaphor &#8220;chemical bonding is like friendship&#8221; may have different cultural meanings, leading to unintended interpretations.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The rising use of digital and AI-based teaching platforms has both increased and complicated the use of analogies. AI tutoring systems, such as those explored by Kumar (2024) in &#8220;Enhancing Conceptual Understanding in Chemistry Education Through AI-Powered Tutoring Systems,&#8221; often rely on preset explanations that favor analogical reasoning. While these systems enhance access and engagement, their inability to recognize and correct student misconceptions highlights the need for more thoughtful teaching designs.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Despite these issues, we cannot completely dismiss the value of analogies in teaching. Instead, a critical teaching approach is necessary, one that involves openly discussing the strengths and weaknesses of the analogies used. Teachers need training to foresee possible misconceptions, carefully choose analogies, and provide various representations of the same concept. Also, students should be encouraged to think about and critique the analogies they encounter to promote self-awareness in their learning.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">In light of this context, the goal of this study is to systematically examine how analogies and metaphors influence understanding in chemistry. By identifying which analogies are linked to lasting misconceptions and exploring their prevalence across different educational levels, the research aims to contribute to developing evidence-based teaching strategies. Through diagnostic assessments, interviews, and classroom observations, this study seeks to provide a thorough understanding of how analogical reasoning helps and hinders learning in chemical education.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2. Objectives of the Study<\/span><\/p><ol style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To investigate the impact of analogies and metaphors on students&#8217; conceptual understanding in chemistry.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To identify specific analogies and metaphors that propagate misconceptions.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To analyze how frequently used analogical models affect long-term retention of scientific concepts.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To suggest pedagogical strategies to mitigate the negative impact of faulty analogies.<\/span><\/p><\/li><\/ol><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">3. Research Gaps<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Despite a wide body of literature acknowledging the benefits of analogies in science education, few studies have critically examined their role in perpetuating misconceptions. Existing research predominantly focuses on their use in initial learning, neglecting longitudinal impacts. Furthermore, there&#8217;s limited empirical evidence on which analogies are most problematic and how they distort scientific understanding.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">4. Hypotheses<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">H1: Analogies and metaphors used in chemistry classrooms significantly influence students&#8217; conceptual understanding. H2: Certain analogies and metaphors contribute more prominently to the development of misconceptions. H3: Instructional interventions that critically evaluate analogies can reduce the prevalence of misconceptions.<\/span><\/p><ol style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\" start=\"5\"><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: 'Times New Roman',serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Literature Review <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Analogies and metaphors are indispensable components of science education, especially in the teaching and learning of chemistry. These linguistic and conceptual tools allow learners to make connections between unfamiliar scientific concepts and familiar real-world phenomena. However, as educational research has progressed, the limitations and unintended consequences of analogical reasoning have come under scrutiny. The present literature review consolidates existing research on analogies and metaphors in chemical education, their pedagogical utility, and their role in perpetuating misconceptions. Special attention is given to recent contributions by Kumar (2024) and others in the context of Indian classrooms.<\/span><\/p><\/li><\/ol><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Conceptual Basis and Theoretical Framework<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">According to Gentner\u2019s (1983) Structure-Mapping Theory, analogical reasoning involves the alignment of relational structures between a source domain (familiar) and a target domain (unfamiliar). Successful analogical transfer depends on the structural similarity between these domains. However, when analogies are based solely on surface features rather than deep relational mappings, misconceptions may emerge. Duit (1991) further categorized analogies into productive and unproductive types, emphasizing that unproductive analogies contribute significantly to conceptual misunderstandings.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Johnstone (1991) introduced the &#8220;triplet model&#8221; of chemistry education\u2014macroscopic, submicroscopic, and symbolic levels\u2014arguing that analogies often fail to bridge these representational modes effectively. Students frequently overgeneralize the analogy, focusing on superficial similarities rather than the underlying concept. For example, comparing an atom to a miniature solar system may help introduce the idea of orbital movement but inaccurately reinforces classical, rather than quantum mechanical, interpretations.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Analogies and Persistent Misconceptions<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Misconceptions in chemistry are often sustained by analogies that oversimplify or misrepresent scientific ideas. For example, the analogy of electron sharing in covalent bonding is commonly visualized as two people holding hands, or a tug-of-war between atoms. While these representations may serve to engage students, they promote static and discrete interpretations of electrons, obscuring the continuous and probabilistic nature of electron density and orbital overlap.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Similarly, acids are frequently described as \u201cproton donors\u201d and bases as \u201cproton acceptors.\u201d Although this aligns with the Br\u00f8nsted-Lowry theory, it fails to account for the nuances in Lewis acid-base theory or acid behavior in non-aqueous environments. Such simplifications can hinder students&#8217; ability to transition between competing models of acid-base interactions.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar (2024) has made significant contributions to the study of misconceptions and pedagogical interventions in chemistry. In his article titled An analysis of common misconceptions in chemistry education and practices (International Journal of Applied and Behavioral Sciences), Kumar identifies that many misconceptions originate from instructional analogies reinforced through textbooks and teacher discourse. The study emphasizes that analogies often become cognitive schemas that students carry into higher education, forming deeply rooted misconceptions.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">In another study, Effect of Concept Based Cartoons as Art Integration on Alternative Concepts in Chemical Bonding (Shodh Sari, 2024), Kumar explores how visual analogies embedded in educational cartoons influence students\u2019 understanding. While some cartoons helped dismantle misconceptions through humor and critical framing, others inadvertently reinforced incorrect beliefs. Anthropomorphized atoms and molecules made concepts relatable but often distorted the scientific content, such as depicting electrons as discrete characters rather than quantum entities.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar\u2019s study titled Remediation of Chemical Bonding Misconception through Conceptual Change Text (Edumania, 2024) provides a framework for addressing analogical misconceptions through targeted reading materials. These texts not only introduce scientifically correct models but also explicitly refute the incorrect analogies previously held by students. The conceptual change approach emphasized metacognitive reflection and confrontation of cognitive conflict, both essential for meaningful learning.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The article Enhancing Conceptual Understanding in Chemistry Education Through AI-Powered Tutoring Systems (Shodh Sari International Multidisciplinary Journal, 2024) highlights the digital dimension of analogical reasoning. AI-based platforms tend to use default analogies for conceptual explanations. Kumar critiques these systems for failing to adaptively respond to students\u2019 misconceptions, thereby necessitating better algorithmic modeling to detect and correct flawed analogy-based reasoning.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Harrison and Treagust (2006) conducted extensive research on students\u2019 mental models in science, revealing that analogies often led to dual conceptions\u2014scientific and intuitive\u2014that coexisted in students\u2019 minds. Their research emphasized the necessity of teaching students the limitations of analogies, a concept referred to as \u201cmetaphor awareness.\u201d Students must be taught that all models are approximations, not reality.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Taber (2002) examined student understanding of ionic bonding and revealed that many students believed in the literal transfer of electrons akin to a gift, owing to the gift-giving metaphor often used. This led to the belief that once an electron is &#8220;given,&#8221; it ceases to interact with the donor atom, a fundamentally flawed view in terms of electrostatic attraction.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Nakhleh (1992) noted that misconceptions are remarkably persistent because they are embedded in students\u2019 cognitive frameworks. When analogies are presented without clarification of their scope and limitations, they become part of students\u2019 conceptual ecology. Research in conceptual change suggests that replacing these misconceptions requires not only the introduction of correct information but also the active refutation of incorrect analogical models.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Representational Challenges and Visual Analogies<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Gilbert and Treagust (2009) argue that visual analogies, such as animations and simulations, can either support or hinder conceptual learning. Poorly designed visuals can entrench alternative conceptions. For instance, animations that depict chemical reactions at the molecular level must strike a balance between realism and abstraction. Misleading visual metaphors\u2014such as showing bonds breaking with scissors\u2014can foster mechanistic misconceptions about reaction energetics.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kozma and Russell (2005) emphasize the need for representational competence in chemistry education. They argue that analogies should be complemented with symbolic and macroscopic representations to help students triangulate their understanding. Without this, students may become overly dependent on a single metaphor or analogy, increasing the likelihood of misconception.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Cultural and Linguistic Influences <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Research by Aikenhead (1996) has shown that students\u2019 cultural backgrounds influence how analogies are interpreted. In multilingual settings like India, metaphors such as \u201cchemical bonding is like friendship\u201d can carry different cultural meanings, sometimes romantic or familial, that distort the intended scientific message. The linguistic translation of metaphors from English into regional languages can also lead to semantic shifts, further complicating conceptual clarity.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Alternatives and Corrective Approaches<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To address the issues associated with faulty analogies, researchers have proposed several corrective strategies. Conceptual change texts, as advocated by Posner et al. (1982) and recently implemented by Kumar (2024), involve explicitly addressing misconceptions and providing evidence-based refutations. Dialogic teaching methods encourage students to question and critique the analogies they encounter.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The use of multiple representations, such as symbolic equations, molecular models, and real-world phenomena, has been shown to reduce over-reliance on any single analogy. Instructors are encouraged to use analogies as starting points, followed by systematic clarification and connection to formal scientific models.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The reviewed literature demonstrates that analogies and metaphors are powerful pedagogical tools with significant instructional value in chemical education. However, their use is not without pitfalls. Unexamined or oversimplified analogies can create robust and persistent misconceptions. Research, especially from Kumar (2024) and other international scholars, underscores the importance of critical engagement with analogical reasoning. Effective instruction requires that educators not only use analogies judiciously but also train students to evaluate and challenge them. Future research must continue exploring digital, linguistic, and cultural dimensions of analogy use to make chemical education more precise, inclusive, and conceptually sound.<\/span><b id=\"docs-internal-guid-9a8e00c6-7fff-d7a6-23b9-cb8bc3cb3eb0\" style=\"font-weight: normal;\"><\/b><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">6. Methodology<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This study adopts a mixed-methods approach, combining quantitative and qualitative techniques to examine the impact of analogies and metaphors on students&#8217; conceptual understanding in chemistry. The research was conducted in five institutions and targeted both secondary and undergraduate students.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">6.1 Research Design<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> A quasi-experimental pre-test\/post-test control group design was employed to assess the effectiveness of analogy-aware instruction in mitigating misconceptions. Alongside this, qualitative methods, including interviews and classroom observations, were used to gain deeper insight into students&#8217; cognitive frameworks.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">6.2 Sampling<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> A total of 300 students participated in the study\u2014150 from secondary schools and 150 from undergraduate chemistry programs. Stratified random sampling ensured representation across gender, region (urban\/rural), and academic performance. Each group was divided into control and experimental subgroups.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">6.3 Instruments<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Diagnostic Test (Appendix A): A 30-item multiple-choice test designed to identify common misconceptions linked to analogies and metaphors in chemistry.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Semi-Structured Interviews (Appendix B): Used to elicit students\u2019 reasoning patterns and perceptions of the analogies used during instruction.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Observation Protocol (Appendix C): Focused on classroom interactions, teacher explanations, and student engagement during analogy-based instruction.<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">6.4 Procedure<\/span><\/p><ol style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Administration of the diagnostic pre-test to both control and experimental groups.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Implementation of a teaching intervention with analogy-awareness modules for the experimental group.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Post-test administered after the intervention.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Semi-structured interviews and classroom observations conducted for triangulation.<\/span><\/p><\/li><\/ol><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">6.5 Data Analysis Techniques<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> Quantitative data were analyzed using the following statistical tools:<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: 'Noto Sans Symbols',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Descriptive Statistics<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: Mean, median, and standard deviation were calculated to assess overall performance trends.<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -54pt;\" aria-level=\"2\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Pre-test mean score (experimental group): 12.3\/30<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -54pt;\" aria-level=\"2\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Post-test mean score (experimental group): 23.6\/30<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -54pt;\" aria-level=\"2\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Control group improvement: from 13.0 to 17.4\/30<\/span><\/p><\/li><\/ul><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: 'Noto Sans Symbols',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">t-Test<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: Employed to compare pre- and post-test scores within and between groups. Results showed a statistically significant difference in post-test scores (p &lt; 0.001) favoring the experimental group.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: 'Noto Sans Symbols',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">ANOVA<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: Used to analyze variation across different schools and educational levels. Findings revealed significant differences between institutions with more analogy-focused teaching versus traditional approaches.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: 'Noto Sans Symbols',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chi-square Test<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: Applied to examine categorical data such as misconception frequency pre- and post-intervention. Significant reductions were observed in the experimental group (\u03c7\u00b2 = 26.73, p &lt; 0.01).<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: 'Noto Sans Symbols',sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Thematic Analysis<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">: Interview transcripts and observation notes were coded for themes related to student comprehension, analogy interpretation, and metacognitive awareness. Recurring themes included \u201cliteral interpretation,\u201d \u201cincomplete mapping,\u201d and \u201cawareness of model limitations.\u201d<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">6.6 Ethical Considerations<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> All participants provided informed consent. Anonymity and confidentiality were maintained throughout the research process.<\/span><b style=\"font-weight: normal;\"><\/b><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">7. Data Analysis<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The study employed both quantitative and qualitative methods to analyze the effectiveness and limitations of analogies and metaphors in chemical education. Data were collected through competency-based diagnostic tests, classroom observations, and semi-structured interviews. The analysis focused on conceptual gains, prevalence of misconceptions, and the impact of analogy-based instruction.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">7.1 Descriptive Statistics<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Descriptive statistics were used to summarize participants\u2019 scores on the diagnostic test (pre- and post-intervention).<\/span><b style=\"font-weight: normal;\"><\/b><\/p><div dir=\"ltr\" style=\"margin-left: 0pt;\" align=\"center\"><table style=\"border: none; border-collapse: collapse;\"><colgroup><col width=\"128\" \/><col width=\"241\" \/><col width=\"254\" \/><\/colgroup><tbody><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Statistic<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Pre-Test (n=60)<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Post-Test (n=60)<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Mean<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">13.4<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">22.1<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Median<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">13<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">22<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">SD<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">4.5<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">3.8<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Range<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">4\u201321<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">15\u201330<\/span><\/p><\/td><\/tr><\/tbody><\/table><\/div><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A mean gain of 8.7 points reflects improved conceptual understanding after addressing analogical misconceptions.<\/span><b style=\"font-weight: normal;\"><\/b><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">7.2 t-Test for Dependent Samples<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A paired sample t-test was conducted to compare pre-test and post-test scores.<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">t(59) = 10.67, p &lt; 0.001<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">There was a statistically significant improvement in students\u2019 performance, indicating that explicit instruction on analogy limitations enhanced understanding.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">7.3 One-Way ANOVA<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">ANOVA was applied to assess the influence of different analogy types (surface-level, structural, no analogy) on learning outcomes across three experimental groups.<\/span><b style=\"font-weight: normal;\"><\/b><\/p><div dir=\"ltr\" style=\"margin-left: 0pt;\" align=\"center\"><table style=\"border: none; border-collapse: collapse;\"><colgroup><col width=\"296\" \/><col width=\"274\" \/><col width=\"54\" \/><\/colgroup><tbody><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Group<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Mean Gain Score<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">SD<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Surface Analogy<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">5.8<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2.1<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Structural Analogy<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">9.3<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2.4<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">No Analogy<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">7.2<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.2; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">2.0<\/span><\/p><\/td><\/tr><\/tbody><\/table><\/div><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: center; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">F(2, 57) = 14.23, p &lt; 0.01<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Structural analogies led to significantly higher conceptual gains compared to surface analogies or no analogy.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: center; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><span style=\"border: none; display: inline-block; overflow: hidden; width: 525px; height: 244px;\"><img decoding=\"async\" style=\"margin-left: 0px; margin-top: 0px;\" 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\" width=\"525\" height=\"333.5976593475705\" \/><\/span><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><br \/><\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This Figure Gain Score Comparison by Group, visually representing the mean gain scores for each instructional group (Surface Analogy, Structural Analogy, and No Analogy).<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">4. Chi-Square Test<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chi-square analysis was conducted to evaluate the relationship between analogy use and misconception frequency.<\/span><b style=\"font-weight: normal;\"><\/b><\/p><div dir=\"ltr\" style=\"margin-left: 0pt;\" align=\"center\"><table style=\"border: none; border-collapse: collapse;\"><colgroup><col width=\"310\" \/><col width=\"159\" \/><col width=\"155\" \/><\/colgroup><tbody><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Misconception Type<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Observed<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Expected<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Literal Interpretation<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">24<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">15<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Misapplied Model<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">18<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">15<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">No Misconception<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">18<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">30<\/span><\/p><\/td><\/tr><\/tbody><\/table><\/div><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u03c7\u00b2(2, N=60) = 11.23, p &lt; 0.01<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">There was a significant association between analogy use and misconception type. Literal analogies increased the frequency of misunderstandings.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: center; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><span style=\"border: none; display: inline-block; overflow: hidden; width: 455px; height: 310px;\"><img fetchpriority=\"high\" decoding=\"async\" style=\"margin-left: 0px; margin-top: 0px;\" 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zABEzABPpAwIaEPkCylwok4CyZgAmYwAAIoAymLqOMmOK+QzuE4sg+BiiSKJVsfshvnkbALAQ2NWR2wQCSdtASJkBdaFSjmJmQGpBYHvGIHhF1YbZmizqCcQEDUmpYSOtSCWfNopmACZiACZjAMQRsSDgGh3+UOgHLZwImYAJDSQBFEUMAI9GskUcpZKYBSxP4ZFQaBRJFEkWxSU1ekjCUBTbEabO8oVnNOhBf1AmeKEEdoa6wrAXHb\/a9wMhEfSFMVtkhltzJm4AJmIAJmEDPBGxI6JmPzxaGgGMxARMwgbIigCKXOhQ7Zhyw4z9PTmA9PIYDligw24AnKrBRH34wNJRVRi1s0QlQRzAYsFkmMxPYW4EZLCyJYN8FHl3J0zeY2UDdwz91seiCOkETMAETMAET6IGADQk9wPEpEzABEzCB6iGAsobS1qY27Y8vliKwISJT0v9P\/5dMTefJCRu0IZ7dL\/xXDx3ndLAJMHOBWS4YFnhqB9s4YrBaoAXaFF\/USWbDUEepezj5zwRMwARMwASGiIANCUMEflCTdeQmYAImYAJ9IoAyxjp1ZhPs0R4x9ZwZB4wQM\/18nuYJJY6p6S1qUSa+5D8TGGQCbdGYxYwEZsFgSKAuYtCibjIrhuPUSYwP1Enq8SCL5OhNwARMwARM4BgCNiQcg2Nofzh1EzABEzCB4hFAUeOpCUwlZ0o5U8vZDI\/16kw7R5krnjROyQS6J0BdpE4yGwbjFk\/\/YLbCM3pGbOTJ4ynxY4NC9wx9xgRMwARMoLAEbEgYOE\/HYAImYAImUIIEUKpSx6gtMwrYy2C1VosZB+xxwEgvithu7Y5jwG3CXwlmxSKZwBEC1Gn2TmBGAnspzNM8YVTAMVthl3aJx4lSl\/GLOxLYX0zABEzABEygQASq2JBQIIKOxgRMwARMoOQIoES1RdMAT1dgt3zWnTN6y8wDPtkgEUWMNeclJ7wFMoF+EMCo0KQm8fjRuZqbGBXYY4ElEVu0RQ3xRT3nmuhHtPZqAiZgAiZgAj0SKD9DQo\/Z8UkTMAETMIFqJoCyxH4HTAHnsXqsK2f2QbpJIkoVfqqZkfNe2QSYecPTIBZpkZhxwzXAtYDxrF71wvAg\/5mACZiACZjAAAkUzZAwQDkd3ARMwARMwASOIcCUbRyKESOyzDyYqZniCQtsSrdSK8Xa8WY1W3k6hpx\/VAMBDGYYFVjOw7UwQzP0SHwxWwGjAjNy2tSWPH2E6whXDVycRxMwARMwgcIQ6M2QUJhUHIsJmIAJmIAJFIgACg8KEMsWtmmbGHn9jX4TVaRHxFMXUJB4EoP8ZwImcIQA1wTXDEaE6ZquR+OLmQrM3mGmAssfuLaOBPAXEzABEzCBaiTQ5zzbkNBnVPZoAiZgAiYwlARQcprUFE0H27QwvhhZxfF9l3Z5o8ShLBynXVYEuJYwuGF4Y6YCSyDYtHGTNomlQZyX\/0zABEzABMqIQPFFtSGh+MydogmYgAmYQB8IoMzgOtQhRlKXaVmykdzjelzMQtipnUp3p5f\/TMAETohAi1rEEqDlWi72E2GmAhs11qtzPwWuwdTJfyZgAiZgAoUlUMax2ZBQxoVn0U3ABEygEgmgtLB0gY0R2XWefQ\/+V\/+rWfG1R3vEFGz5zwRMoOAEMNrVqU5sTvpz\/VzMVtiojdofXxgc2HeB67PgCTtCEzABEygzAhZXsiHBtcAETMAETKBkCDSrWTzGjhkHLFtgyjUbxTWpqWRktCAmUA0EuOZWa7WeiS82L8W4wH4KDWoQBgcbFKqhFjiPJlBxBJyhAhKwIaGAMB2VCZiACZjAiRFglgFKCoYDplcv0iLtii9GQeU\/EzCBISPANchMIPZTwKjAxqYsfTiog7IxYciKxQmbQJURcHZLkYANCaVYKpbJBEzABCqYAMoHU6SZfcCU6VVaJdZls5M8Sxma1GQFpYLL31krTwJctyw52qd9WhhfP9FPNDe+MDJwzfJUCPyUZ+4stQmYwKAQcKQVTcCGhIouXmfOBEzABEqLAAYEpkaz7ppd4pl9wB4IzD5gunRpSWtpTMAEuiPATIXFWixmKHANr9VaYRi0QaE7Yj5uAuVDwJKaQF8I2JDQF0r2YwImYAImMCACqQGBJQssX3hWz4qZCGzshuIxoMgd2ARMYMgI8LhIliXN1mwxq4i9FJi1YMPgkBWJE65eAs65CRSVgA0JRcXtxEzABEygOggwxRnjAXsfMAMhnQrNLITd2q3m+OJ8ddBwLk2gsglwvbPsAcMgsxR+qV\/qufjisZJc6xgV8FPZFJw7EzhRAg5nAuVJwIaE8iw3S20CJmACJUsAheGwDmtrfGE4QKlglJKp0CUrtAUzARMoGIEmNWlJfLHsYZZmaV18edlDwfA6olIhYDlMoMoJ2JBQ5RXA2TcBEzCBQhLAWLBe68XSBRw7vTMjoZBpOC4TMIHyINCoxmhCWCeWPfAISWYmHdABeTZSeZRfpUrpfJmACRSGgA0JheHoWEzABEyg6ggw8wCHUoABYZu26fH4Yg+ETdqkxvjinPxnAiZQtQRoI2gfeLoDhoSf6Wdif5TcJQ\/4qVpAznhfCdifCZhAiRGwIaHECsTimIAJmEA5EKDjz7rnetWL3dqf0TPiCQwYE2w8kP9MwAS6IYABYYZm6BfxxX4KGBha1SralG6C+HBZE7DwJmAClUrAhoRKLVnnywRMwAQGiQAdfmYbLNMysXxhjuaIXdtREAYpSUdrAiZQYQTYmHGRFkUT5DNiD5Wd2ik\/wUWl82dJTMAETKAXAjYk9ALIp03ABEzABDoJYEBg5BADwk\/0E7Er+w7tkA0InXz83wRMoH8EMBzs0z4tjy82ZsQoySwnZjXR3vQvNvuGgJ0JmIAJFIuADQnFIu10TMAETKBMCbCEgQ0TV2u1HokvdmFvjuYDd\/TLtEAttgmUGAHakha1iM1ZH9NjYqZCrWrjkRZxDqfK\/nPuTMAETKDsCNiQUHZFZoFNwARMoDgEGBU8qINiYzT2QGDn9d3aXZzEnYoJmEDVEcBgwAwFDAkzNEN87tEeYczknEruzwKZgAmYQPUSsCGhesveOTcBEzCBvATosNNx36qt4gkMczVX2+OLZQ3ynwmYgAkMMoF2tWtvfLGM6tf6tXjaA7OgMG7SPg04eUdgAiZgAiYwYAI2JAwYoSMwARMwgcogQCe9SU1i3wNmIEzXdO2Mrza1VUYGnQsTMIGyItChDtEmYUhgWdU6rdOh+KKtKquMWFgTMAETqEACNiRUYKE6SyZgAibQHwKM8LVFYwEGBHZPn6EZsbu+Tp6B0B+K9msCJtANgYIcZoYC+7PwpJj1Wp8YGGi7ChK5IzEBEzABE+g3ARsS+o3MAUzABEygMgjQCWfEj13SWb7wtJ5O9kM4oAPyiF9llLFzYQInTqD0QrIh4xZt0cz4mhENnru0S7RhtGWlJ60lMgETMIHKJmBDQmWXr3NnAiZgAnkJ0PE+rMNaGV+sQebxa41qtAEhLy0fNIEyIlDhotJ2YVDYqI16PL5Y9oDxk30VOIercATOngmYgAmUBAEbEkqiGCyECZiACRSHAJ1sDAhrtEZPxNcczRGd8OKk7lRMwAS6I+Dj\/SdAW7ZYi8WmsBhDmV2VUUb+MwETMAETGHwCNiQMPmOnYAImYAJDTgADAh1sHqXGtODZmi02UmRa8JALZwFMoHwJWPIhJkAbRrvGzASWO2zQBjXHF+0d7d4Qi+fkTcAETKBiCdiQULFF64yZgAmYQCcBOtQsW2DkjmUMdLRb1NJ50v9NoCoJONOVRoDNYTGOPqWn9Ex8YVzAyGBjQqWVtPNjAiZQKgRsSCiVkrAcJmACJlBgAnSgeXQaa4kZqVugBeJ3gZNxdCZQPAJOyQR6IYDhlDbvST2ppfF1UAdFWyj\/mYAJmIAJFJSADQkFxenITMAETGDoCdBpZuOx3dqt5+KLZQzbtE2Mzg29dJagGgk4zyZQbAINahDLHZihgGGhTW2ibSy2HE7PBEzABCqVgA0JlVqyzpcJmEBVEqCjfEiHtCK+mN67Wqvjr0PuQFdlbRhwph2BCZQ1AQyqLHdgRhZGVTaWpY0sGTxLWAAAEABJREFU60xZeBMwARMoEQI2JJRIQVgMEzABExgIATrH7HvAzINn9azmx9d+7RfHBxKvw5YjActsAiaQS6BZzVoWX8xOWKu1yRIv2kZcrj9\/NwETMAET6DsBGxL6zso+TcAETKAkCbAmmMeezdM80VHeoi1iGm9JCmuhuifgMyZgAoNKgOVes9X52qVdYsaCjQmDityRm4AJVDABGxIquHCdNRMwgconQEd4q7aKZQwrtVI8V90d4+KWu1MzARMoHwLMTliv9ZoZXyz9os3EGFs+ObCkJmACJlAaBGxIKI1ysBQmYAIm0C8CGAvYC4ElDI\/r8Ti2tkvuDPcLoT2bgAlUKQHayjrVaW58YVBgdgKPj+R4lSJxtk3ABEyg3wRsSOg3MgcwARMwgaEjgAGBZQssX5iu6VoSX+1qHzqBip6yEzQBEzCBwhCg7dykTWIzxuVarnR2Au2s\/GcCJmACJtAjARsSesTjkyZgAiZQOgQYLTuog+LZ6LM0S+xGXjYd3tLBaElMwARM4AgB2tB61WtRfM3RHLGPQns0znJc\/jMBEzABE+iWgA0J3aLxCRMwARMoHQJ0bDEcMHLGs9F5RnoxOrqlQ8CSmIAJmMDgEWCmF3snsN\/MBm3whrWDh9oxm4AJVAgBGxIqpCCdDRMwgcojgKEA16hGsZEia3m3a7s64quX3Pq0CZiACZjACRBgdgIzvth\/hraXmWC0wycQlYOYgAmYQEUTsCGhoovXmTMBEygvAkelpePKLAQ2AZuneWIWwn7tF8eP+vI3EzABEzCBQhNg40WWkD2lp8RTcZit4La30JQdnwmYQLkTsCGh3EvQ8puACQw9gQJLQIeVR5St1VoxC2Gd1onfBU7G0ZmACZiACfRAgBlgtMHLtExsxNiDV58yARMwgaojYENC1RW5M2wCJpASKMXPbDarw9nD4mkMczVXdfHF1NpSlNUymYAJmEClE2CD20VaJJY70B6ztAxjL07+MwETMIEqJmBDQhUXvrNuAmVKoGLFpoPKjuGMgC3WYjG9tmIz64yZgAmYQJkQYJnZRm3Uk\/G1XuvVFF82JMh\/JmACVU7AhoQqrwDOvgkUj4BT6okAa3DXZ9drRnzRYe3Jr8+ZgAmYgAkUlwCGA2YksGcNM8b85Jzi8ndqJmACpUfAhoTSKxNLZAKlRcDSDBoBOqYsZWjPtmtxdnE0IczQvvhSGLQkHbEJmIAJmMAACPAkB\/ZMYKkDM8iYSZa05coOIFYHNQETMIHyI2BDQvmVmSU2gT4RsKfSJkDHsyPbodpMraZnpounMrSHdtmIIP+ZgAmYQEkTYN8anuaAMYEZZC1qEW16SQtt4UzABEygwARsSCgwUEdnAgMk4OBVQqAt06YNHRs0MztTm8Imd0LlPxMwARMoLwJ7tVcL4mu1Vid72tiYUF7lZ2lNwAQGRsCGhIHxc2gTeJ6AP0yg7wRYyrCkbYlmZ2drT80eZUNWnokg\/5mACZhAWRHAcFCves2Pr+f0XPKYXo7JfyZgAiZQBQRsSKiCQnYWeyDgUyZQJALshdDW0abatlpNb5muRcMWqXlEs0QrHIokhJMxARMwARMoOAGe6rBSK\/VMfDFLgX0TCp6IIzQBEzCBEiNAF7bERLI4JtA7AfswgXIj0NzRrI3NGzWrfZa2jNiizLBMuWXB8pqACZiACfRAYLM2i8f38mljQg+gfMoETKAiCNiQUBHFWDaZsKAmUHUEmInQ2NSoxbWLNSe+do\/crY6aDsmzEOQ\/EzABE6gkAixr2K3dmhVfS7VUbfFVSflzXkzABEwgl4ANCbk0\/L0bAj5sAibQXwIYENra2rSrfpee3v20Fk9crKZxTcoO834I\/WVp\/yZgAiZQTgQO6ZDYhHGe5ulgfPGUh3KS37KagAmYQF8I2JDQF0rl6sdym4AJDBmBltYWrdy2Us\/sf0ZbT9oqjR0yUZywCZiACZhAkQm0q12r4wtjQq1qZWNCkQvAyZmACQw6ARsSBh1x\/xNwCBMwgfImcPDQQT294GnNbZur\/afvl8ZLIXgtg\/xnAiZgAlVEoFWt2hBfczVXW+PL+yZUUeE7qyZQBQRsSChcITsmEzCBKifQkenQ7n279eisR7X65NXKXJxRGBNsRKjyeuHsm4AJVC8BjAc7tTOaEuZqS3yxb4JnJ1RvfXDOTaCSCNiQoEoqTufFBExgqAg0tzRrzaY1mr56unZfsFsjLxg5VKI4XRMwARMwgRIjUK96LYqvjdooZiqwMaP8ZwImYAJlTKB8DQllDN2im4AJVA4BNlWsb6jXvCXzNGPrDNWdU6fhZw1XqAmVk0nnxARMwARMYEAEMBzs1V5hTNikTTYmyH8mYALlTqDohoRyB2b5TcAETCAlkMlkVLuvVjMWzNCcvXPU8qIWDTt9mMJwGxFSRv40ARMwARPoJIAxgZkJMzRDa+KLmQksc+B4pw\/\/NwETMIHyIdBXQ0L55MiSmoAJmMAgE2AWQktLizZs3aCnFz+tdcPWadSNozRi0gjV1NR4T4RB5u\/oTcAETKCcCWA8YGbCCq3Q4fiyIaGcS9Oym0DFEug1YzW9+rAHEzABEzCBIwSYhXCw8aCWrFmipxY\/pU2jNmnY5cM0fNJwKch\/JmACJmACJtArgSY1aenzL2Ym2JjQKzJ7MAET6BOB4nmyIaF4rJ2SCZhAmRPIZDM60HBA85bN0\/R507Vj\/A6NftFojZwyMtkTIQRbEsq8iC2+CZiACRSNQLOaxayEZ\/SMWuLLxoSioXdCJlB6BMpQIhsSyrDQLLIJmEBxCbCUob2jXbtqd+mp+U9p1upZar2gVVNumKKRE6IRIRoQQrARobil4tRMwARMoPwJ8HhInuTwTDQm1KteLHuQ\/0zABMqGQDULakNCNZe+824CJtArgcSI0N6ujVs3avrs6Vq4caGy52U16UWTNGLciF7D24MJmIAJmIAJ9EZgszZrbnzt1V5l46s3\/z5vAiYwIAIOXAACNiQUAKKjMAETqFwC7dGIsHbzWk2fM12LNixSzQU1mnLdFI2cNFIhvio3586ZCZiACZhAsQgwE2GLtmhWfB3QAc9MKBZ4p1NmBCxuKRGwIaGUSsOymIAJlAyBdCbCivUr9NjMx7Rq\/SqNmjBK0y6bpmGjhnXKGTo\/\/N8Eyo0Am4a2NbfpwLYD2rl4pzY\/s1nrfrVOa365JvncMnOL9m3Yp7bDbeJayJc\/jmc6MjpUe0g7FuzQ+sfWa92j67TxqY2qW1+n1sOtymay+YL26Rjxt7e2q2FHg7Y\/t13rf71eyIhs9Vvqhfz54k\/CtbUnecPv2kfXauOTG7V37V61NbWJvOMnVwh+tx5q1a7Fu7ThiQ06sOWAyFuuH383gcEmkFVWu+PrST2pffGVUSYeOfFrSP4zgVIhYDkqkoANCRVZrM6UCZjAQAigVDQ0Nmj2otn69Yxfa8uOLZo0YZJOHX2qNF\/KrondvUPRZd3BGwhnhx06AtmOrHYu2Kln\/vQZPfHHT+jprzyt2f9vtp77++c08+szNf3z0\/X4px7XzK\/N1O4lu48zCHCNNO1r0uqfr9aTDz+p6Z+brpl\/PVNz\/naOnv7S03r8049r7t\/PTYwR+O1vTglD\/Kt+sqoz\/i\/E+KNcs74xS0996Sk99qnHtOC7C4SRAb+58bcdatOG32zQU198Sk99+SnN+Zso0589rSc+94SW\/ecyNR9ozvUuwre3tGv7vO2a\/Teztf5X69Xa1HqMH\/8wgWISqFOd5sfXHu2JpoRMMZN2WiZwDAH\/MIGeCNiQ0BMdnzMBE6g6AoxW7qvfp1mLZiXLGbbu3Kopk6bopCknaVh86UBEsiIaE5ZklanLJKOWKCLxqN8mUFYEho8armlXTNPVb7tad3z6Dt3z5Xv0kj99iV7y5Zfoxe99scKIoDU\/X6Nnv\/qs9q7Zm4zkk0Hqe0tDSzJDYPH3F6t2Za3OvfNc3fGZO3T3l+7WzR+7WcNHD9fqn6zW3L+dqwNbDxwJS\/jeXBr\/qp+u0vxvz9eh3Yd00csv0p2fu1N3f\/FuXfHmK9Te3K7l\/7Fc878zXxgcCEO8HR0d2rNyj5b825JkpsSlD16qux6+Szd95CYNGz5MS3+wVHuWROWs46hyxqyGhu0NYjZFGBZ02W9dppMuOEmhxlOOYGpXfAId6tC2+FqqpdofX1nZaF38UijrFC28CRSFQE1RUnEiJmACJlAmBOrq6\/Tsgmc1c8FM7d67W2efframTJyiYTXDFMLzigWDlZtihmZHg8Km2MVric6zEyIQv8uFQM3wGp1+zem67n3X6YWve6HOue0cnXHtGTrtqtN05vVnJsdu\/cStGn\/GeO1fv1+r\/ndVrOyduUPxZtkDywUadzfq8t+5XNe++1qdfevZOv3a03XRyy7SrR+\/VRPPmqid83dq2Q+XqaOl40j4zli6\/89siT0r9mjFj1coRMX+4tdcrKt+9yqdddNZiWxXv\/XqRO6a0TXa+MRGbZ6xOTHoEWP74XbtXb5Xh\/cc1mnXnKZLoyHhjOvP0AX3XaBLXn2JkH3zs5tFGvjHJTMYHtugfav36cL7LtS0K6epZljN0esdT3YmUGQCHdGYsFmbtTi+DuhANCXYmFDkIhiC5JykCZQXgZryEtfSmoAJmMDgEGBTxc07NosnMzy35Dm1tLTo3DPP1fix4xXC8waErkk3xAOLo360LKtMfeYY5SSe8dsESpZACEEhjrinCnMI4RhZa2pqNO7UcRp3yrhE+W7c03jkfEdrh+pW1al+fb1OuewUnXPrORo9ebQIE0JIrpepF09NjBPMFKhdUZvsmcD3I5F08wU\/7K2wfc52tRxo0eRzJ+usG87SqImjjsYf5T7vrvMSw0dHU4c2P71ZLQdbkhgz7Rm1NLaIeMZMGaPRE6NcoUbkc\/zp48X+JodrDyfn8cPMho3TN2rtI2t1xg1n6OzbztaI0SOkIP+ZwJATyCijjfHFMgee5oBxISsbFIa8YLoK4N8mUKUEbEio0oJ3tk3ABDoJoEy0tLZo3ZZ1enLOk1qwcoHaO9o17eRpGjN6TKennv6z3Hpd9PCclNkau31t0WWOTpuOZ\/w2gbIhwPXA8h72DKhbWyem\/NeMrEkMBmkm2ICR5QrsNXDyC0\/W+FPHp6eOfA4bMUynXHFKssShaW+T6jfWR\/WnDwpQ9MKyif0b9iezDFD+J79g8pF40y\/DRg4TMyBIp3ZZrVoPtianmMEwctzI5DvxJEaFmHKmIyMMCJl4fY6ZOkYhhGS5xe5lu7X0h0sTgwkzFpK82IiQ8PO\/0iAQ7yjaHF\/LtEz18cVv+a8gBByJCZjAwAjYkDAwfg5tAiZQ5gSYebBm4xo989wzWrJmiYbFF0aE0SNHK4Q+ahTYDfZGEGzEuDSrrDdijDD8LhcCGA3Y52DLs1vE0xsYnWfTxJl\/MVOtja06\/57zk6UOoabzesCAcGjPIdWMqEkU8BFjRt+7m20AABAASURBVBx3rYQQNOH0CYkfRv2b6pqEEh91+l6xMBOBNDASjD15rIaPGX5c\/EQy9cKpwnDQvL9ZzfuiRS8aIZCF2RCjJo9KNpNk48Q9y\/do66ytWvvLtYlx4uybzlbNsBqRB5ZdIN9Vb71KJ198smpqavKmRXp2JjBUBNrVro3xtVzLdSi+4l1mqEQphXQtgwmYQIkQqCkROSyGCZiACRSVACOvTS1NWrlxpZ5+7mmt3bxW48eMT2YijBox6sQUCmZXr47ZmCNldmWUbY+aTfzptwmUMgFG7hmVf\/wzj2v6H0\/XjD+boeX\/uTxR0tmI8cYP36ixU8YeUbDZ74BZCSwTwIXnDQzH5DHaHJgZwF4M7EvAoxo72jrUmwLEdYlflHsMCaPGjVLe+GNiLF3AkBC\/qqm+KYmbMKdecaouf8PlSbiF31uo3\/zRb8STHg7uOJjsmXDqNaeqo71DbObIsgv2iDj7lrOFnIf2HdL+jfuTp02w\/wNyIBNp2JnAUBJoj8aEdVqnJfHVoAZl4qu362ko5T0+bR8xAROoNAI1lZYh58cETMAEeiKAUoA71HRIy1YvS2YibN65WePGjNNJk07SiOHHj672FN9x57Ad7IlHZ0rZFVllGjMiPVw86rcJlByBkRNG6rLXXqbbPn2bbv3UrcJwcNnrLxNPdVj7i7Va\/l\/LdXhf574CCI\/CzWaFIYQjxgWOd3Wpkp8cZ9YO10byo5d\/z\/sNIUg13fvNjZ+lC6lP9lO45FWXJE9ruO7d14nvV\/\/e1eKpD1f97lWJUYTZF6t\/ulpn3XKWLnrpRckeC2t+uSZ5ROQjDz2iRz7ySGKAWPQvi5KnRiR59oaqKWJ\/DhEBjAmrtEqL4qtRjYnxTIP95\/hNwARMoBsCPdyiuwnhwyZgAiZQ5gQwIixfu1wzFswQGyyOHT02eTLD8OHDe1SM+pXtlmhIWJlVdkFWmd3RmNDRVy2qX6nYswkMmACbC55+9emJQn3xyy\/WFW+8Qjc\/dLNu+fgtqhlVoyX\/vkQL\/mmBWg+1JkYxljQwE4GNDXHdCcDMhcSAFiTC5Cr+3YXhOH5xGAeII2pLHD7OtTW1KQ7KJsdHjB2RfPIvhKCRY0eKmQnk5fr3XS9mVpx989kaM3mMalfVas7fzEmWXlz++ss1fOxwsbnjou8v0rBhw3Tde67TzX94c\/LUiZX\/szLZQ4GlFsRtZwJDTSATK\/16rRfLHJrV3K04PmECJmACg02gZrATcPwmYAImUCoEUGrYWHHl+pV6dv6z2rZzmyZNmKSTp5ysESNGFM6IkGa4I37ZFt1cKbsmGhSaMokiFo\/4bQIlTYDZCGdef6ZecPsLxOyDHc\/t0L71+2JFlliyMHryaLU3tYs9FDAmcG3lZiibyappX1OyL0LN8JrkqQvEGULI9Xbc9xCCRo4fqZFjRoq9G1iywOaPXeMnYOOOxmTDRIwOY086uvSCc\/kccTTsaND8b85PZiBc9XtX6aSLTkq+r\/vVOg0bMUyX\/taluuD+C3Te3eeJWRkTz5qodY+uU8PWhoQDceSL28dMoEAE+hRNOjNhrdZGswJTePoUzJ5MwARMoKAEagoamyMzARMwgaEkwNTjtjhK2d4eFZ5jZwCgALAnwsIVC\/XU3Ke0s3anJk+arKkTp2pYzbDBlboxRr88irQgq2xtdO3RIWs87LcJlCyBqPOPmjBKYVgQ+xtgNEDWUZNGJaP5GAgObD6Q7E\/A8VyHIYG9BphRMHLiyMR\/CEG9\/kUvo6eM1tjTxoqZCDxpAdc1HNfzrkW7hBFj0jmThJxd\/eT+xj+zClb+ZGUyI+Gqt12ls285W+y\/0NHcoQNbDmj0pJjuSWNVM6wmMSqOnzZePOGBPDTsbEiMFrlx+rsJHCVQ\/G9tatPC+GJ2Qoc6FO8qxRfCKZqACVQ1gZqqzr0zbwImUDkEeORifb00f760eLFUXy91dERlpNOggCKxaesmLVixIDEi1NTUJJsr8lkUCNG+oa1RnIVZZTZllG3KenZCUcA7kXwEUPRZOpDvHMe4XtiEsW5NnTpaO8TTEMadMk6Kiv7wkcPFExMmnDlBOxft1L41+4ShgTB6\/o+ZBNvnbk+OTzp7UjLyT9jnT3f7EUIQyxJOe9Fp4mkNKPg8UaJr\/A3bGrR5xuZ4QUln3nimMG50G2k8weaKPLlh05ObdM7t5yhZ0hDzEULMEO+aoPbW9sSl+cCAQN75jdEkRuN3pREo8\/y0qlUz42uTNkVTQoeNCfKfCZhAMQnUFDMxp2UCJmACg0KA0f2GBmnZMmnlSmnBAmnmTGnXLuUaE8464yxdfcnVOnPamerIdGhP3R6x1GFQZMoXKTNQ6+KJhVJ2STQk1EeXycYDfptAcQk07W\/Sxic3avu87cnUfpTlXAkYgV\/4Twu16elNQolGWZ\/0gkmJlzA86KRLT9JpV52m1oZWLfnBEu1cuDMxGhAPT3RY8aMVyb4DKPgXvvxCjZ02NtoRosaexCDVrq5N9l2Y+fWZ2vzsZqUKO6fZf+HMG87UtMun6eDWg2LDR\/Y1wPCBAeTA1gOa9615OrDpgCaePVHn33u+ho8eTtBu3f51+7XyxyvF4ySvestVyt1TASPJyZecrMZdjdqzZI+Qn2UVPDYSQwZLLSadNSmZqdBtAj5RVAJO7CiBFrVoQXzt0i4bEo5i8TcTMIEiELAhoQiQnYQJmMAgEsCIcPCgtGKFtH69xNIGjm3fLj35ZOfxw4dVE0ceJ4ydoOuuvE6vvPuVuuayazR8+HBt27VN++r3qa29LZkhgCI0iNJ2Rs3shI3RmPBcVpmtGWVaM8VLu1MC\/69yAmycuPHxjXrsU4\/pJ+\/4iX7xoV\/osU8\/Jn7\/9Pd\/qp+\/++da8eMVGjVulC7\/nct1zTuuETMRQghiFs+E0yfoktdckjz1YP\/6\/Xry4Sf16EOP6tef\/LV+8vafaNkPlyXLAq5917U69\/ZzkzDRkqD0jz0H1v5yrTA41C6vFUaC9BzxYyC49t3X6rRrT9Ouhbs0\/bPTk\/gf\/eijeuShR7Rp+iZNOHOCXvzeFwsjQAhHjRRpPHxyPR\/ceVCL\/3Wxmhuak6dTEC6Eo\/5HTx6ti15xUbIRI3I\/+rFH9atP\/Erzvjkv2QPiyjddmaQVaoJCCERrd2IEHGqQCNSrXovjq051NibIfyZgAsUiYENCsUg7HRMwgcITYDkDMxGWL5dWr5ZaW49N49Ahae5cadasZHZC6OjQyJEjdcE5F+glN79Ed15\/p86cdqYaGhtUu69WzS3NiUJ\/bCSD9IuJCHtj3MxOWJlVpiEjRlvjEb9NYNAJjJkyJtlU8KKXX6Sp509NjFkN2xrUsL1BirryqVeeqhf97ot05xfu1PXvvV6jJ45WCPGEOv+GDR+WzBi44YM36Lr3XafTrzldLAU4vOdwMup\/6Wsv1a1\/dKsufdWlGj5q+DFhiYFHTk4+d7KmXjQ1MTjoaNSc1rBhnfHf8vFbdPU7r9Ypl52itkNtaq5vFkslMG7wOMfz7z5fbJIYQpcIkliUbNjIbAn2d7j4ZRfrjOvOOE6emuE1yeyK6z90fbLsQZnYlBxs1bQrpumGP7hBF7\/yYrHBZAj503g+qQr+cNZKnUA2mg92aqeWxle8iuOvbKmLbPlMwAQqgEBNBeTBWTABE6hGAsw6OHy4czkDsxGYiZCPA8aGjRulp55KZieE6G9YVFJOPflU3XLtLXrgjgf0woteqEw2ox17diRGBXaJzxfVoByLWdDKGPMcKbszdgf9mMgIw+\/BJsB0\/XPvOFcYAu76\/F26\/6\/u18v+38sS98BfPaA7\/\/hOXfvOa8WTGzAE5JOnZliNJp8zOdlv4I7P3qEH\/voBvfQbL9V9f36fbvjADTrrhrM0bGT+jUzPuOYMYQh42TdepotfcbHypVFD\/C+YrCt\/50rd+fk79dKvvzSJ\/54v36Pr33O9MHbgJ59s6bHhI4frvLvO0z1fukfMLMCAoi5\/IYRkqcM5t5yjWz92q8j\/y77+skQ+jA+jJo5SCGVoROiST\/+sbAKZaAFjrwSWOTSq0caEyi5u584ESoKADQklUQwWwgRMoF8EMCI0NSnZD2HNGiX7IPQUAf6ZuTBvnvTkk1JdnUI0MIwdPUaXnHeJ7rvlPt16za2aOnmqdtft1p59e9Ta2qqiGRTiCKiYnTBbyqyM3cHnHxPJtOyesuVzJnCiBEIIYqo+CjxGBZ5YgJKN4zvHehrpz023Jo7oM2LPEgHCo3gTL\/Er5Po8+h0DA+ngnz0KQggKIRz18Py3EIKQA3mS+CePEU9oIHwI0X98q4c\/ZGA\/BMKyj0IIodt0MEqkfvFPnshbCKGHFAp\/yjGawIkSaFe7NsfXCq3Q4fiKd5MTjcrhTMAETKBXAjYk9IrIHkzABEqOQFubhAGBjRX53lcBeSzk5s1KZiesWydFY8TwYcN02imn6dYX36r7br1Pl194eWJE2LV3lw4dPlQ8YwJ5YGXGUik7L6vsrujaosMIwjk7EzCBUiZg2UygJAi0qlUbnn\/xPd5FSkIuC2ECJlB5BGxIqLwydY5MoLIJZOLwPUsZFi2Smpv7n1cU871x+J\/ZCTwqMn6nIZw4fqKuvvTqZKnDzVffrPHjxiePiWSGQlt\/jBX9l+jYECxt3Spl58fu39roDkeHzMf68i8TMIGCEHAkJlB5BFjasFqrtT2+PCuh8srXOTKBUiFA\/7lUZLEcJmACJtA9AZRpjAhsrPjcc1Irw\/fde+\/1DBsxMqNhxgxp40axd8KI4cN19mln6yW3vER333i3LjznQh08dFBbdm7R4ebDyeyEoi03aIg5WBYNCguzyhzIiI0Yi5Z2TNpvEyhpAhbOBEygWwJZZbUvvpZpmXbFV0aZeAQrdbdBfMIETMAE+k3AhoR+I3MAEzCBISHAsgSWMyzkMQcF7BDV1kpz5kiLF0v19cneCePGjtNNV9+UzE645epbktkJbMS4\/8D+I4+JLAqDjpjKluhmSZmNsSPYFLuHmegwqsTDfptAuRGwvCZgAsUjsFu7tTK+9mt\/NCXEe4gKeO8sXjackgmYQIkSsCGhRAvGYplAtRJg1L0jGg06OtCicyhs2iQtWnRiyxlyosn7tbFRWhaH\/2fPlrZEzb21VTUhJI+JvOeWe3TvzffqnDPO0cHDB7V77+7i752wP0q9RMouyyqzP6PYI4wH\/DaBohFwQiZgAmVKYJu2aV18sfliNhoScGWaFYttAiZQYgRsSCixArE4JlDtBA5FpX7Jc89p1ZIlakn3QNixQ2I\/A568MFiA2Adh61aJpQ4YFVpaxF7tUyZO0Y1X3ahX3\/1qXXb+ZaoZVqMdtTt04OABYfQYLHGOi7cpHlkf3Swpuz12Bf2YyAjD754J+KwJmEC1E2hVq9bE1w7tUEd8VTsP598ETKBwBGxIKBxLx2QCJjAAAjxqsaG+XisWLNCiWbM067HHNO\/JJ7WzbuhcAAAQAElEQVR\/5Up1zJyp7GAaEXLlbooae5RBzz4r1daqJpPRiBEjdO5Z5+o1975Gd1x3h8469SztO7BPu2p3qam5ScyeKIpRgVmpDdGQMCerzLKMOg50KNORyZXe3yuBgPNgAiZgAgUk0KQmLc8uV217vTqymeIawQuYD0dlAiZQWgRsSCit8rA0JlCVBFDCmw4d0qrFi7V47lzt2bFD+\/bs0ZZ589T4zDPK7ttXXC7ReKD1cfj\/qacknhDR2JjMTpg0cZJ4ogOPibzykiuTSaJ76vaoobGheMYESLTFf6ujWxCNCtuyynp2QoQx9G9LYAImYAIlRwADdPtIba8brd9s6FBto5ThWMkJaoFMwATKjYANCeVWYpbXBCqMAEaE5qYmLZs\/P5mJULd7tyZNnaoXnHGGrhg\/Xie3t6smm00U+aJnff9+KRozktkJ0ZhRE6UYP268LrvgMr3sjpfp9hffrskTJ6t2f23imJlQNBnbY0o7o3sudgoXxBGm5mz84fcJEHAQEzABE6hcAodP0t7VN2j9ots0Z+3J+vW6oGbuH5WbY+fMBEygSARqipSOkzEBEzCB4wiwnIGZCBgRFsycqbraWk2aMkVTJk3SpaNH66IxYzRm+PBk48PjAhfrQDRkaPNm6fHHOx8T2dwsHhM57aRpuu3623T\/rfeLvRMaDzdq666tyUaM7TEMBpKiiNgaU1kbjQmzMuqo7VCmLRoVouElHq3wt7NnAiZgAiZwHIGMlG0fro7GyTq04XqtmfNSbd5wmZqaJqojM1yLdtVo3vagtmhM8K3iOHo+YAIm0A8CNiT0A5a9moAJFJYAmymyqSJ7Iuzfu1cToxHhpGhEuLCmRheEoNHRFTbFAcRWX9+5EeOCBdKePVI0FowZNUaXX3y5WOpw1w13aeL4idqzb4\/21e+LnTTWHwwgvf4GfX52QnZNVtmD0ZVqD7G\/+bJ\/EzABEzCB3gkwKa1jmDoOnqr9G6\/S5sV3ae2qK3Tw0LgYlq2D40d8H44GhCc3SRv2R4MDYeIxv03ABEzgRAjYkHAi1BzGBEygIATWLlumhbNmqXbXLk05+WRNnTxZZw0bpgti7GNLyYgQ5Unezc3SqlUSj4nctEkhGhNGjRylc848RxgSWO7wgjNeoENNh7Rp26bkMwlXrH\/R1qEVsXO4OKvMnowKuXdCsbLgdEzABEzABPpJAINA8yTtW3edNiy+XVvWXqn9+05RR8fwvBHtbJR+vkZqKrK9O68wPmgCJlC2BGxIKNuis+AmUJ4EmPLfERXwNcuXa86TT2rXli2afNJJmhSNCCdHI8L5MVsTa2qGdjlDlKHbd0eHtHu39MwzSh5JefCghsVO3MTxE3TNC6\/RK+95pa698lqxl8LGbRtVt79ObW1tYhlHt3EW8gQdw60xQvZO2JJRpjUaFLJZ79IdkfhtAiZgAhVDIN53sh1Bahmt1p2Xav2cl2vjmhep4cDUaEAYGbMZzwkXv3Z5x6Bat0\/68cpoTGhVvD918eCfJmACJtAHAjYk9AGSvZiACRSGAEaE1jiqjxHh2V\/9SrVRIZ8QDQjjJ07UuBB0YUzm5FI2IkT5jryjcSB5ogOPiYzGELW2JsaPc04\/R\/fdcp\/uv+V+XXrepTp4+KB21+1OHhPZd2PCkVRO\/EtDDLpQyi6ORoS90bVHFw0K8ajfJmACJmAC5UoAK0CmRu2NU3Rg6wu1fcm9WrbgVtUfnBBzlN9wEE8c9yaa+TskXBv7KnDgOF8+YAImYALdE7AhoXs2PmMCJlBgAu1R+d60bp3mR+V7y4YNmjBpkiaffLLGDhumi2NaZ0VjwvDo4tfyeLe3S1vj8P\/cudKSJdLhw8n4z0mTT9L1V12fPNmBWQrDhw\/XjtodqquvExsxFi1zzTGlDdGYsCAaEbZG1xqdjQkRit8mYAImUJ4EhreN14GNV2nL0tu1ZdWLtWvX6cpmh51QZlo6pJnxFrb1QLxP2JBwQgwdyASqmYANCdVc+s67CRSRALMRdsSR+\/kzZmjjypU6ado0TY1GhJHRiHBuNB5cHN1QGREGhAHF\/EDshS2Mw\/9PPCHt2yfmibJ3wvnnnK8H7nhAt113m8445QztP7Bfu\/buUktrS+z4FanXFjuKqos5jLaO7OpoSGiODpnjIb9NwARMwARKmwD3zmwmttttw9W+8xItf\/YVWrfixdpfd6ra2kZF4UN0J\/bmLrTtoDRvh9TYqnhfOrF4HMoETKA6CdiQUJ3l7lybQFEJMAq\/deNGPff009oWPydMmSL2RaiJxoPTo7soOr6H0K8OUVHz0KfEdu6UMCZEQ0loalJNTY0mj5+sW6+5Vffddp+uufwaDasZlhgT6g\/WJ092oJPYp7gH6ikTI1gWO4qzs8psyyjTkomdRrqR8bjfJmACJmACJUUAe2+mPajl4FjVbTpb65+7VUsXXK\/GxolRTrrv3C9x8ecA3sxKWLZHWlkrdXCfGEBcDmoCJlBdBGiJqivHzq0JmEBRCXR0dGj39u1aNHu2Nq1Zo5GjRmny1KmJDJPi\/8uimxANCCEMvEMUoxr69\/79cXhnnjRzphQNCyH2BseMHqPLLrhML7npJbrl2ls0ddLUZHZC7b7a4s5OgE60dWhBNCgszyrbbEMCSOxMwARMoJQIZKNC33Z4pPZtfIG2Lr1Z21bfpgN1FyqTGRPFLPy9sq5JmrVV2tagmEZMwm8TMAET6AMBGxL6AMleTMAEJJ0AhGwmo321tVqxcKFWL1miTFSqmYkwYuTIZGPCF0XjQdlsrtif\/Le0SBs3Sk89Ja1erdDaqhHDR+j0U0\/XHdffoXtvuVcXveAitcbj23dv1+Hmw2IjxqLNTjgUM7NGyk7PKlOXUTZjg0Ik4rcJmIAJDCkB2uJMa1DjrinaMu82bV1zpxr2na+O9glRLvZBKLwRIUYsbgGr90lPb\/ISB3jYmYAJ9I2ADQl942RfJlC2BIZK8Gw0GjQ0NCQGBIwI\/D552jSNGDlSw6IBASPCWTU1iUFhqGQc1HRj\/hXzr+eeS2YohH37VBN7a2PHjNXVl12tl97x0mR2wuQJk4UxYW\/9XrW2tQpOgypXGnkc8VJ9NCY8HY0JqzPKNGaKl7b8ZwImYAImkBLgdtHeNFwHdpymLQtu1Jr5r9aBBmYgjIpe6KoPjgEhRn7kHW9PWl0nLd4ltbTHe4Pty0fY+IsJmEB+ArRO+c\/4qAmYwFASKPu0Dx86pDVLlyazEZoOH9YUNlYcPVohBJ0Tc3dhdFXxbm6WVq2Snn1WWrtWYu+EyODMU8\/U7dfdrvtvu18XnHOBmpqbtGPPDjUebiyuQt8US2F57DQujgaF3dGY0OHeYyTitwmYgAkUhUBHU9D+LWdr29IbtGX5naqrvTymiwEhfhT5vT\/erhZFQwJLHNgvAQNHkUVwciZgAmVEwIaEMiosi1oOBCwjI+rNUVlet2KFFs+erfq6Ok2YOFFjxoxJjAgnRUQXRzcyKtPxozreHR3S7t3JzAQtXiwdOJDMypgyaYp4PORr73utrrr0KjFbYduubarb1\/mYSFgWBVBrTGVLdM9JmTUZZZozxTVmxKT9NgETMIFqIUDb3hHb3cbtU7Rp0e3asuIO1e2+TG2t7Bw0bMgwYEfesF9aHm9XPMVhyARxwiZgAmVBwIaEsigmCznoBJxAQQiwzr+1pUVb1q\/X4rlztXf3bo0ZN07joiGhZtgwjY7GA2YiTGFJQ3QFSbRcImFo5\/BhaelSJRsxbt+u0NamEcOHi9kJr7r7Vbrnpnt03jnnqa6hTix3YJYCTOl0Dno2mYhwMKbC7IQlWWX2Z5SJQ1JFSTsm67cJmIAJVDIBbgG49tYaNdZO1Y4lL9b6xS9V\/d5L1NE+LmYdA8LgL2GICfX4PtwuLYiGhE31UntG0ajco3efNAETqGICNiRUceFXQtadh9IigNK7e8cOLZ4zR7u2btXosWM1ccoUDYtGBLpH50dxz4jGhKpueOhJbtvWudRhyRIl+yhkMho3dpxuvOpGveL2V+imq27SqFGjtLtud\/J0B558EdEV5x1HybQxJjU\/diA3ZZVtiQ6Z4yG\/TcAETMAE+k+AJrSjdZgO7jxFO5Zdq82L79aenVepvWN8jIy7Y\/wooffuRumZzdLOhngfwMhcQrJZFBMwgdIhUNX9+dIphqqTxBmuQAKMXB8+eFBL5s7V1vXrk00Vp558sobHEXeye1b8d340IjArIYTS6zhF8Yr7ZiNGZifMmiXV1ip0dGjUiJG64NwL9MBtD+jum+\/WqaecqvrGeu3cs1NNLU3CUANnDfZfR0ygNrrFsRO5LKtMg2cnRBp+m4AJmECfCdBW8xSGjjapqXaSdi67WluW36G9O65USzOL\/IbHuErzXojtYOVeacFOqbEl3gc4EKX12wRMwARyCdiQkEvD33sh4NMmkJ8AHabmw4c1f+ZMbVi5Uu3t7ZrMTIRoRAghaEoMdkl0E+L3EEqz4xTFK\/67LfYwt2yRfvUr8ZhItbZqWM0wTZo4STe96Ca9\/PaX68oLr1Q2vnbs3qGGxobiGROg0Rz\/rYnuudiR3BN7kvEdf\/ltAiZgAibQAwFmIGQzUkv9OO1afqXWzn9Ae3ZcGw0IU5XNjoghS\/8+2BHb+\/lsvHhQ6oh5IU9RcL9NwARM4AgBGxKOoKjgL86aCQwyAfZFWL5woVYtWiRmJUyeOlUjRo1SCEFjYtrnRTcpfi\/9rlMUdCjePNlhzpzO5Q67d4uGedTIUbrw3At136336c4b79S0k6Zpf8N+1e6vVUtrS+yMxl5esWTdExOK4mWWZdRxsKO4acek\/TYBEzCBciGQaZcO103U7hVXaP3Ce7V764ujcZ1NFLkD4solJ9K+w9LCndKB52clZIt42ykfSpbUBKqXAP3V6s19iefc4plAORDoaG\/XpnXrtGzePNXu2qWJ0YgwdsIE1dTUJArxqTETp0UjwsjoQiivTlQUvXjvyFHr10tPPy2tXKnQ2qoRw4brtGmn6bZrb0sMCpecd4la21q1fc92NRxqiKNEHcow7FUMKWOHUitjQs9JmV2dSx3iL79NwARMoOoJMCsv0yE17x+nXdGAsGnRPdq5+QY1Hz5VWY2MfMrz3tceDQfLaqUt9Z2zEmJG\/DYBEzCBIwRsSDiComBfHJEJVBWBPTt3atGsWdq+aZMmRSPCpClTEiMCECbGf+dENzEaEEIoz45UFL94b4Z79u+X5s5V8mSHffsSYwwbMV5x0RW695Z7xUaMkydM1p69e7R3314VdSPG2FHWrohjtpRdnVW2OfYy40+\/TcAETKBaCWRju9h8YJxqV16ktfPu164t16u56RRly2QJQ2\/ltq9JmrtdamrvzafPm4AJVBsBGxKOlLi\/mIAJ9JdAQ1R65z\/7rDatWaMxY8dq6imnKNR0NiuMwZwdI5wWf9cEGxEiir6\/2TuB2QnPPCNmKYSWluQxkWef7N\/GygAAEABJREFUfrbuvvHuZHbCRedepMPNh7Vt5zYdPnxYbMTY9wQG6DN2LLVEyjyXUceuDmXaM7HTbKPCAKk6uAmYQBkRYAlDc\/1Y7VlziTYtvEvbNt6m1uaTY1s4Iuaisu55S\/ZIK2sl9kqImfPbBEzABBICnT3+5GuZ\/rPYJmACRSfANM5DjY2aN2OG1q9YETtOWU2JRgSWMyAMDcuZ8QuPe6RLFb\/63V8CmYy0J\/bemJ2wcKHE7IRsVhPGT9A1L7xGD9z+gG540Q0aGw0423ZvU119ndra25Ky6G9SJ+Q\/iqc4SqUFUnZDVlk\/JvKEMDqQCZhAeRDgvofDgNASDQh711+kzYvu1I4NN+pw4xkxE8OjqywDQsxQ8o62Yv18TbwNNcX23jbjhIn\/mYAJSPT3h4SDEzUBEyhfAmyuuHrpUq1dvlwNBw7opFNP1cjnN1ckV5Pjv3OjG1NTk2y4GL\/6faIEDh2SorFGs2dLW7YotLVp5PAROvfMc5OlDi+5+SU696xzdbDxoHbs2aGm5qbiGhPqY8aWxM7lwqyyddGxqDYe8tsETMAEKopAVKBbD47S3o3na9Pi27R93S1qPHiWMpnRMZs10YXoKvdde1h6cqPU2h7b+8iicnPqnJmACfSVAC1fX\/3iz84ETKDKCbAmf0dUaNcsWaKd8fOkadM0dty4IwYDulQsaTg5GhG8pKFAlaWjQ9oeh\/9nzZKi8UaHDwu2kydM0q3X3qpX3vPKZJbCiGhg2Lprq\/Yd2CcewcnoWYEk6Dma1ng6djCz87LKbM2oo7lD2Yx7mpGK3yZgAmVMIBubMSaHtR0aoX0bXqCNC+7WtlW3qbHhBdGAMCrmrLKNBzGDx7zn75Q2ROMxzXtEc8w5\/zABE6hYAt1mzIaEbtH4hAmYQFcCKKb1dXVaHY0IW9ev1+STTtKESZOOGBFoUE6Kgc6Kjkme8cPvQhJobJQWLJBmzFBiWGhrSwwK5515nu6\/\/X7dfdPdYh+FAwcPaHfdbjW1NMXObkaUWyHF6DauffHMouhWxBGrg1llO6KjJx4P+W0CJmAC5UKANjObkdqbhqt+81navPB2bVl9pw4dPEdZYS6vLgNCWm71LdLsrdLB+Jm1JSHF4k8TKFECgy9WzeAn4RRMwAQqhUBzU5PWLFum9TyesKZGk08++cgTGsgjGyyeF79MjOdCqM6OVsz+4L6ZnbB5s8TshFWrpFgm7E1x0uSTdPPVN+ult71UL7rkRUm57N67WxgV2jvai2dMaIrZXxMNCcxO2BaNGG02JkQifpuACZQJAZ7C0HpopPZvPlMb59+prSvv1IH9F0Sj7JiYA9\/XltdK66LRmFkJEYjfJmAChSZQRvHZkFBGhWVRTWAoCbTH0W82Vly5cKEaGxo0YfJkDRs27IhIdK+YiXBGNCCEwK8jp\/xlMAjs36\/kMZFPPy3V1yezQkaPGq1LL7g02YjxthffpqmTpmrv\/r3aU7dHrW2txTMmxJE87Y6ZnhcNCiujIaHVQ1eRht8mYAIlToCNFBu2narNC+\/QpmX36mD9+WrvGBel9j0tQkjeja3S05s690pIDvifCZhAQqAa\/9mQUI2l7jybQD8IMMUz2Rdh69ZkNkLtrl0aO368xowbl4x6h9DZwZoc47wyuuE1blYihuK8Wby7ZYv06KPSqlXiMZHsnXDylJN1y7W36P7b7tcLL3xhHEnLaFftLjUebhRlSZkWRcCWmMrKaEx4NqvMnoyy7dniGTNi0n6bgAmYQE8EaAs7lzCMUMO2adow505tTAwI5ykr5th13t96iqPazmEW3nxAmhVvPW0dsX3nQLVBcH4riYDzMgAC7vEPAJ6DmkA1EMhGZZV9EdYuW6aNa9dq2PDhyb4Iw4YNS0bBYcB+CJfEL6NtRIgUhuDd0NA5O2HePIW6OtVksxo\/dryuvOTKxJhw0zU3aeLEiardV5vMUGB2QiaWa1EkZXbCrtjZnJlVZnU0JhzKKptxz7Mo7J2ICZhAtwQwILQ1jdSB7adp27IXa9Oyu3Vg30XqyDADoSaGsxEhQsj7bokGhLnbpb2HY9vu5jwvIx8cbAKOvxQI0FKWghyWwQRMoEQJtLa2auvGjcmjHjPt7WKDxeEjRhwxIiD2mfEfSxrih99DRaC5WVoZh\/+feUZat05qaRFPcTjrtLN05\/V36t6b7xWbMh5uPqztu7erqI+JhEnscGpZ7HTOzypTF60L7nxCxc4ETKDIBKKdVR0tQQd3nKJtS27U5mV3qW7XC9XWNjFK4m5xhNDrm+a7tklaHI3EHfzoNYQ9mMDzBPxRUQTcYlZUcTozJlBYAoxa1+3Zo9WLF+tgfb3GT5qk0WPGJEsa0pTGxi8XRDcqhGOMC\/GQ38UmQA95715pzhwlT3eIZUYjP3H8xOTxkDwm8rorrktmK\/CYyP0N+4u71CGOYimOYmmW1LGmQ5nmjJKpxchdbFZOzwRMoGoIdLYzsd1prdHhusnavvTF2rj0Xu2vvUTt7RgQmFcXqoZHITLa3C6tjrebXQclJri5GS8E1dKNw5KZQD4C9DHzHfcxEzCBKidAx6shKqKrFi3Sjq1bNWLUqGRfhBCO7Wy9IHI6pabGRoTIoWTezc\/PTpg9W9q8Odk7YcSw4TrnjHN036336Z6b79EF51yguv112rFnhw41HYodwU6lvih5aIypLJWyi7PK7M3E3n387bcJmIAJDAIBFNyOlmFq3H2Sdqy4Spvm36PanVdHA8KEmNqw6Pw+EQLMRNgV2\/L1+6VWjMQnEonDDDYBx28Cg0qgZlBjd+QmYAJlSQAjAo963LhqldatWKH21laNmzBBw4cPP8ZgwAaLF8UcDutiXIiH\/B5qAu1xuCgagIQxYckS6cABRWuBJk+crOuvvF4vv\/PluuFFNyRlymMi99XvU0emiL3B1ghoY3Tzo1ibohGjOSvFdzzitwmYgAkUhEA2NoOHd0\/UtmXXafOSO1W77Wo1t54c43b3N0IY8LuhRVpTJ9VH2\/WAI3MEOQT81QTKg4Bb0vIoJ0tpAkUjgBEh09Ehns6wKiqgdbW1yUyEMWPHHrOkgXkJV0Wpxta4GYkYSvPNUNzBg9LixUoMCnv3KmQyGj1yVDIj4dUvebXuuekenXrKqdrXsC\/ZO6GltaV4yw0yEdu+6BZKmaUZdTR0KNMRjQrIHQ\/7bQImYAL9IcD9i+Yj0xHUUj9aWxZdq3ULXqG6nVeppeXk2LaN6E909tsLgfZo\/N0SbdSb9isaohX59hKg0k87fyZQZQSsAVRZgTu7JtAbATpiBxsatGbpUu3YskUjRozQhMmTjzEiEMfZ8d\/UEBTip98lToCedSxLPfWUkg0ZGxsV4rExo8fopqtv0ktvf2myh8LwYcOTpQ4HDh5Qe3t77BTGXmIxstYWE1kf3fzYEd2RVbY1uihfPOK3CZiACfSJAE1GR+swHd47UXtWXar18x7QXpYwdIyP4X2nihAG5b2vSVqxV2poju33oKQw+JE6BRMwgRMjYEPCiXFzKBOoWALZOGK9Zf16rWdJQ1ubpk6blkx\/z83w2PjjnOhGRud3GRHYH4eN5s1Tshnjnj2JMWHUyFG65LxLdN8t9+nOG+7UtJOmqb6hPnlUZEtL5+yEouSQ2Qm7YkoLYmd0RVaZg56ZEGn4bQIm0AuBxIDQFtRUN0m7V1+hLUvv0M6NN6ipaVoMOTw6GxEihEF7s1cCyxuW1z4\/K2HQUjouYh8wARMYYgI2JAxxATh5Eyg1AofiaPWi2bO1f98+TZw8WaNGj1YIx3bETo1CJ7MR4vEQjj0XT\/ldygRaW6UNG6Rf\/zr5DCGIx0SeevKpuv2625PZCRefe7Fa2lq0ZecWNR5uLN7MBLgdiv9WRjdbyuyzMSGS8NsETKAHApmmGtWtvkDr59+rXZtfrMOHTlMmOzKG8L0pQijKe3+ztCIaEuoOx+R6ncgW\/fhtAiZQEQRsSKiIYnQmTKAwBFqamzXnySe1b\/fuZBbC2AkTjlvSwD7XZ8bkRkcFtCa6+NXvciQQy1pPPCE9\/bRCXZ1qMhmxd8Il51+i+267LzEqTJs6TbV1tdq7f6\/YOyET\/bD0pSjZ3RtTeToaE9ZllDmUUTbj3mkk4rcJVD0B2qCOVqmpfpz2rDlfa2c\/oK0b71Jr60mRzYjo6NraiBBBFPbdS2yb6qX1+6SWdolZIr1492kTMIH\/n73zAJDjLM\/\/823f672od6vYsiQ3Wc1yb9gEQv1TUggBEgiENDqmhAABAoGQAIEYEkgIkDj0ZnDvtizLsiSrt+tlr26f\/b\/PnFbaO92d7nb37ra8q\/k0szNf\/c3s3Pc+XysAAnzbFkAxtAhKQAlkSiAej+PIvn04euCAtOgMobK62hYTxsbbJCfqREBwyl63AiDw4ovAI48Ahw5JDTBs906Y3zQf2y7bhuu3Xo+VS1YiFA2htaPV7p1AMWHWSh2UlHZJpfTpBKw2ERNiKiYIEd2UQNESSFjymhIBofPwapx8bitaDm3B0NAC4aHVWYEwpxtXcDgoQkIgBMht0kV45vRuaOIzSUDjPkdA37znWOiREihqAj1dXXhx7160njiB0ooKe6UGY0a36lQKIVbZ2BvBmNHX5JJu+UjAkipfW9vIvAmPPw7098PpcNrLRG5csxG37LgFm9ZsQmlpqT3Uobu3G7MqJkjrFk4J2KekcnrIQkLFBIGhmxIoPgJWGOg6sBSHnroBLYevxkDfYsTjfgGhf4sEwpxvfDWf7ANaB4FYXLKjuq9A0C2HCGhWZoCACgkzAFWjVAL5RiAUCuHo\/v1gbwRjDKrr6s4b0sCXxRIpWJ3DAR3SICAKbQtLLZ29E+67Dzh+HEa+u51OLJq3CDdtvQnbL9uO1ctWo3egFy0dLQiGgragwG7Gs4JCKqd4TsSEJy3Ee+OwYiIqaP\/ZWUGviSiBuSDAn3dchMTIoAeB40049MgNOHHoeoRDTUgk3JIlCgh0cqhbThDoHAJOBGAPb8iJDGkmCoCAFiGXCdA2yOX8ad6UgBKYBQKdLS04uHevtPD0oXnhwnGHNNRIPupFZOAc2HKoWyESYM29o2Okd8LzzwN90rxkWagor8DWTVtx07abcPWGq8FlIts629Ad6EY0FpVK\/Sw1PYlRgeMC\/kkgcTSBRFAc8yyndFMCSqBwCHAIQ2TAj55jy3Dyuatx9PkbMDC4VAqo1VaBkLNb2AKO9MqfjpC8o3M2l5qxWSGgiRQFAX0jF8Vt1kIqgYkJRCMR7Hv2WbRIK3R5ZSX8ZWXneWbbDxfS4kSL513UE4VFQIQDBALAc9L8\/\/DDwOnTQCwGj8eDFYtW4KbtN+H6Ldfby0QODA2gtb0VoXBo9sQEqaiiW5DvkYrq8wkk+hNyIN91UwJKoCAIxIMG3UcW49iz23H64GYEulfAsvxSNu19IBByfjsqQoI9vMHSV3PO36xxMqinlMB0CKiQMB1a6lcJFH3eQOoAABAASURBVBgBTrD4gogIJw8fRjQaRUV19XlDGlhkCggNxsArzhitzJFJwTsRD9DSAjz4ILB\/PzA8DKfc++ryKnsixpfe8FKsWb4GTrcTpztOg6JCTMIkZqOHgGgHkBYvHJKK6qMJxE\/FEY\/ExdiwZk\/QKPgHQAuoBGaHAF8ZVjyBWMiJ\/lP1OPbMDpzYdy0G+5YgHqOw7ZSM6N8dgZAXG3slPNcG9Mk7mveWr+u8yHh+Z1JzrwTmhIBjTlLVRJWAEphzAjT4OtvacPiFF8B9RWUl3B7PefniUIY6OVspRqTOjSAgim0bHASefhp44gmgvR2Ix22xadnCZbh1x63YccUONNc328McOns6Z3\/uhB65IbvE7RNRYUCqrLLJN92UgBLIcQK2kSmt1tEhDwKnF+DknitxfO9OBHpWIgFPjudeszcZgb2dQMsAEJf7KzdzMq9Ffk2LrwTym4AKCfl9\/zT3SiBtAiFpYT5x+DBOHz0K43SiTIQEh+P8V0KJpNAojh1LZadbMRIIh0eWh2TvhH1isct3PisNtQ24euPV4NwJnIgxnoijvavd7p1AoWrWUInWgQOSmmgd9jKRlqoJQkM3JZDTBOR1gYFTDeAcCKf2bUNP2xpEIlWS5\/P\/DslJ3fKIwHAM2NsBhGSfR9meelbVpxJQAjYBfVvbGPQ\/JVBcBLh8X3dHB44fPAgu+1hZXQ2X2z0uBFbrGo2BGfeqniwaAsm5Ex59FBBnhobsngnlJeW4ZNUluOPaO7D50s0oKy3D6fbTdg+FWDw2e0MNWGGVVjA8CFj7LVgRa\/bSLpqHQAuqBDIjQIGRAkK414sTj27Gwd13INC9CtFIhUTM\/m\/6l0ZAFMS2vwvoDULew7lTHM2JElAC2SWgQkJ2eWpsSiAvCASHh3Hy6FG0JidYLC21jUJjRlfiKqU0y+Scx+GAMaOvySXdipUAl4n81a9gZG+CQfDJqK2uxbbLt+Hm7Tdj3cp1GAoNobWjFYPDg4hb8dkjxaSek8rrkwlYHSImxLR3wuzB15SUwPgEOIwhFnShv409EDZh\/2O\/I2LjevGcnP+AbxH5qlvBEOAcCQdETIha8j7OrFQaWgkogRwl4MjRfGm2lIASmEEC3e3tOC5GYCgUQnlVFZxOVuZGJ8gz9XKKTna6KYHRBDql+f\/JJ4FnngF6esA\/JlXlVbh09aX23AnsnVDqL0VHdwe6urvsiRBHRzCD3yyJ+4Q4yZ7dO2FYTqieIEB0UwKzT8CKGPS3NOD03stw4vkd6Dp1KWIx9kCY\/bxoirNHIBQHDvYAA2FJU9+\/AkE3JVB4BFj3K7xSaYmUgBKYkAB7I5w4dAitp07BV1ICj88HY85vDfJLDPPFUVCQnW5K4HwCw8MjKzo89BAgz5OJx+H1eLFo3iLcuOVGXLf5OiyevxjdA904cuoIguEg2LX5\/Ihm4Awrrv0S7wvSGvZMAvHe+OyKGZK0bkqgWAnwd27FgGB3KU7t2YRje65FV+vFiIRqkIAOYcjp5yKLmTsaANoG5R2cxTg1KiWgBHKHgAoJuXMvNCdKYMYJcHk+TrB45MABaRGKwef3270RjBktJPBbteSmyuGwhzzIoW5KYHwCnDuhvR2gmLBrF0wgACPnykpKsemSTbhp603YsmEL\/F4\/TredRm9fr\/3s0dAYP8IsnxVjBiclzielMnssAStozZ6YIcnqpgSKhQCHL9DFw04MdVWjbd86HHnmRnS2bEQsyoFyTkHBvy50cqhbVgnkYmT9YWBfF2Cv3pCLGdQ8KQElkBEBFRIywqeBlUD+EKDh1t\/bC\/ZG6BLDz+3xwCtCgjHnV+q48BZXavDlT\/E0p3NNgMtE7t0Le5nIlhaIWgCv24sVi1fYqzrcvO1mLGhegP7BfrR0tGA4NDx7Bj17J3QLoN0iJjyfQKJHXFxOyiZndVMCSiALBBIWEOoqR+v+9TixZzvaT1yOUKheYtaqpkCYaCv487vkz4Gu3lDwt1kLWKQE9O1epDdei118BKKRCNrEwDt+6BAioRBKy8rgcrnGHdZQLni0+icQdJseAXnGcOIEcP\/9wAsvAMPDcIpQVVNZjSsvvRK377zdnoiRz92c9E4ISnEOi5jwdALWaQtW1Jo9MUOS1k0JFBoBCtScSzXc50Pb8+twaNct6Di5EcGhJlgWJenzherCYKClmCqB7hDASRfjIjRNNYz6UwJKID8IqJCQH\/dJc6kEMiLA5R4HBwZw6sgR9HR22nMjcH4EY86v5PGlQBGh0uEYV2TIKCMauPAJsG+zCAh2z4RHHwXkeTNSg+TcCeydcNs1t2HrZVsxr3Eeegd60dnTiXA0bBv0NEpmHBArs12SylMiKOwTQWHAgiX5m5W0JVndlEAhEODPPBE3iAx40XlwJQ49cRNaT1yNSLhafssuKSL\/ttDJYS5tmpc5IfCQ6MvymoV2ApsT\/JqoEpgxAo4Zi1kjVgJKIGcIxGMxcKWGU0eP2uJAeWXlhHMfsAq4RAQGh7icKYBmJP8I0NIQ4cqeO2H\/fiAchsM4UFNdg22XbbOHO1y88mIxOhJo62hDoD+AeDxuf5+VwoYklQPinhZBoTWBRFwc8yyndFMCSmBiAuyBEOotR\/v+i3Dk6Ztw+tBWhEIcDDdzVcqJc6NX8oHAwW6ga0jetaok5MPt0jwqgSkT0Lf+lFGpRyWQvwTCwSBOilEX6Ooa6Y0wwdwILOEC+a9SRQShoFvGBGiYd0sNkstEcjJGOXZYCXBZyDXL19grO2zesBlVFVXo6etBV6AL0Wh09sQETsTYKqWkmLBfhISIOOZZTummBJTAOQLssUMBITLoQdfBlTi2ewdaj12J4cFm+b1OOIThXAR6VNQEYiIg7O0CLPYIK2oSWnglUFgEVEgorPuppVEC5xHgsIbenh4cffFFqfAlUFJWBuMY\/6fPs+uMgfZGgH6ySUDEARw+DPzmN8CxYzDxODxuD+Y3zce1V19r907gsIegCF4tnS0IhmZxmUiWU1rK8ByQeFiEBE7EKGIHT6tTAsVJYHSpOYlidNiL3qOLcOjxm3Hy4DUiIMwXo5DT8erwhdG09NtEBPZ1ApGYvGdFVJjIj55XAkogvwjQbsivHGtulYASmDIBtiINDw3hwHPPgSs2uNxuuMVNFEGzXCgTIUF2uimB7BPo7QUeeQR47DGgS5qnRFAo8ZXgklWX2GLC1RuvRmlJKVo7W+25EyKRiC1+ZT8jE8TYJpXcRxKwXrTsZSIn8KWnlUBuEshyrhJxINzvR9eRZTj2zHaceHEHgsM6hCHLmIsmuu5h4PQAdJ6EornjWtBiIKBCQjHcZS1j0RKwxFDr4EoN0hocCYfhLyuD08VZEM5Hwnalxeef1jNKILsEgkHgwIERQeHYMbFUwra4tXj+Yuy8aiduuPoG8HgoOGQvExkKh2CxSTS7uZg4NqnoYo9Udp8RQaHLQiKWmF0xY+Kc6ZUCJZBLxeLIHsuSluMhD3qOLcaJ3Vtx6sBWDASWwor7JatabRQIuqVBIBACTvQDfL74nKURhQZRAkogxwjoX4QcuyGaHSWQLQLsjRASo+3QCy+gv7sb7I3gm2RuhCpJuEacbkpgxgmIwIU2af5\/\/HFgzx6YgQE4jQOcKyG5TOSmtZvg8Xpw9NRRe\/6EWCw249k6m0BUjo4DiScSsI6KmBBOqJggSHQbRaAgv1ghg8DJ+Tj+zBac2H8N+ikgWEkBgXJzQRZbCzULBKIiUJ3sA4Yis5CYJqEElMCsEFAhYVYwayJKYPYJJET2b29tReuJE+DSj+VVVXBN0huBSz76jbFXdZj93GqKRUlgcBDYvXukd4I8pyYSgcvhxJL5S+yhDtdffT2WLliK3r5ee7jDcHB4dg36gNwVzp3wvAgJAXE6d4IAyfdN8z+WAFuHo0E3+k404egz1+DE89eKgLBSWo51DoSxrPR7+gTiCeBUP9AbEpE2\/Wg0pBJQAjlEQIWEHLoZmhUlkE0CHF\/ecuwYuqTllz0RSkpLJ4zeK1c48tUpe92UwKwSYO+EkydH5k3Ytw8QcYF\/mKorq7Fl4xbcds1tYO8El9NliwkUFWLx2OwJCmGhcVAqvk8lYJ2wYIUsJERQYI8fuaLbbBHQdLJKgM8vV2GIhZzoO9mMk89ehaPPX4++nhWIWyWSlhGnmxLILoGeINAyABGpshuvxqYElMDcEGB9bW5S1lSVgBKYMQKsJPYHAvaSj+FQCNV1dXBMsFIDM1Em\/9WIM0Yrj4JBt9kmwCbRvj5g1y6Awx06OkZWdnC5sWrpKty8\/WbsuHIHGusa0dPfg7bONgTDs7iyg7SkoVOgPAsk9ougMGjJgXzX7YIE1EPuEeDPLRZyYaClEcd3bcHxvTvR27Ua8TgFBK0W5t4dK5wchWPAwW4gXjhF0pIogaImoH8xivr2a+ELmcDpY8fQ2dICj9cL\/yS9EchgnvznE6HBGBUSBIVuc0WAy0QeOQLcf\/\/IhIzhMBzyTNZV19m9E27edjPWLl8LyGPa3tWO\/sF+aT2Ng8IZZuMzLInsF\/ckYHVYsKLW7KUtyc7ipkkVIAEKCPGIE4OtNTj13JU49vy1CHStQixGKZnVQflhFWC5tUi5QyAmouzJfiAg71JL9NjcyZnmRAkogXQI8C9HOuE0jBJQAjlMgL0QDu7di+HhYZRVVMCYiSuIHikHl33Ul4GA0C03CLB3whNPjPRO6O2FkRqn3+fH2hVr7aEOWzZsQU1VDboCXejq6QKH8VjiZ1YEBVZ+2wXTY0DixQQSw+Joocmpud80B0pgNAH+JrjoSSzswmBbnQgIl+Hoczegp2OtCAjl4tkpbuK\/D3JRNyWQVQL9YeBQj7w\/sxqrRqYElMBcEFDbYS6oa5pKYIYJcKUGzo1gjIG3hN1VJ06QvRFKtTfCxID0ytwQYO8ELhP5299KrfMQTCgEl9NpD2\/Ydvk23LD5BqxavAqRaATsnTA4NIhZExNIRFrUsFcqw88kwN4JCc4kxvPpOA2jBGaAAPWteMSBgfZatD6\/Hsf37ER368WIRislNRUQBIJuc0BgOAocESEhTlF2DtLXJJWAEsgeAUf2otKYlIASyAUC7IWw79ln0S8tuZxg0eNhn4OJc7ZILk3uQzzopgTmikB3N\/Dww8CTTwL9\/eAfrcrySmxYu8HunXDFJVfA7\/ejravNnj9hNsUExATKSXEPAdZ+C1bY0qEOgkO3uSfAOUxDvSVo2bMJR5+9AR0tlyEcrkECLsmc9kAQCLrNEYGoCAhtQwB7JlhyPEfZ0GSVgBLIAgHWybIQjUahBJRALhCgEXXi0CH09\/QgEg6jtLx80mENVZJpruWg1UoBoVvuEojFgBdfhD13Ald44DKRTifmNc7DdVdfBy4TuXzxcvT19+FU+ykEQ8HJeidkv5xhiZK9E55KINEtLi6OzcFyWjclMBsE7CEM8szFow4EeyvQuXcNDj7xEnS2XopYrEILXZcjAAAQAElEQVSyoG95gaBbjhAYigLtgxBhK0cypNlQAkogLQIqJKSFTQMpgdwkMDw4iFNHj6K9pQWlFRXw+nyTZrRernqNVjAFg265TsCSpqu2tpHeCc8+C4hY5pDmrIqyCmy6eBNu2noTrrr0KnjdXntVh55AD2JxESBmq1xM6oRUjJ9OwDpijcydYCVmK3VNp8gJWFGD4a4qtO9fh6NP78Tp49sQjVIq1h4IRf5o5GTxhyNAmwgJfEXqWzInb5FmSglMiYAKCVPCpJ6UQO4TYItUb1cXuFLD4MAAqmprYRwT\/8Q5nIEjZd25XzTNYT4TyHbeRSzD888Djz8OtLbaEzH6PD6sWLwCN227CTduuxFNDU32MIdTbacQDAeznYOJ42ONuFsuPyeCwh4RFHpFUGBNWU7ppgRmggAnUgx1+9G6bwOO7roObccvRzDYIEmpQCwQdMtRAqE40DkEhKKSQb43ZaebElAC+UdgYisj\/8qiOVYCRU0gGomgUwyrjpYWlFdWwuf3T8qjXK5WGAMur2eMVjqhn1EEcvoLhzqcOgU88AAoKpjhYfCPWVV5pd0r4Y5r78DGNRvhdrlxouUEevt6EZMwFNtmpVwc6nBUUnoGsE5Z5+ZO0AqzQNEtEwJ8hhPyHFkxg3B\/Cdr3X4RDz9yE9hObEA7XIZGgNMxfQyapaFglMLMEYhbQEwIC4mY2JY1dCSiBmSSgf21mkq7GrQRmiQArlxzW0HLyJNgbobaxcdK5ESgbcNRsqeRPXwICoXC24irJkDRpPSPW+pneCYhG4Xa6sGLJSO+EnZt3YkHzAgQGAujs6URy7oRZgSTGHjolpV1AYl8CiUACibg4WoFyWjclMF0CfHQsew6EcnQeWolju7aj9chmhEMNEpUOYRAIuuUJAXkVIhAE+sKAJe9K2fIk55pNJaAEUgmoDZFKQ4+VQB4T6OnsRPvp03A4neBqDZMVhW1WHNbA+RGMoawwmW+9NvMENIW0CYh4gCNHgEceAfbvB8UEBwwa6xqxdeNW3LL9FqxbuU4qqxZaO1vRN9CHWZ07QbQOHAASuxKw2iwkoglpNdZqc9r3u0gDJqQFNzrgRdehVTjx3Ha0HL4Kg\/2L5Ln2ChF9hwsE3fKMwGAU6BUxIRqXjOsrUSDopgTyj4Aj\/7KsOVYCSmAsAcuycOrYMQS6uy+4UgPDsurJYQ0UFPhdXZoENFhuEJDnH729sOdNuP9+oL8fRppv\/T4\/Vi9bbc+dsHnDZtRW1do9E7p6uhCJRmyDPiH+ZrwQrCi3SSqPi6BwWISEsDimq5VngaLbRATsR0QEhFjIhb6j83DwsVtw6vDVGBqYD8vi0DUVECZip+dznwDnR+gaBsKcqDb3s6s5VAJKYBwCKiSMA0VPKYF8I9DT0WH3RuA8Cf6Skgtmn\/MjlIovY4qzIipF160QCdDyOnoU+M1vgMOHYUIhuBxONNY2YsflO3DDlhuwbsU6RONRtHe1Y2BoAPF43BYUZgVHWFLhUIenErDaLSRiidlLW5LWLX8IJER8Cg\/60XNsIY49tQ1H9t2EULhRCuARp+9tgaBbnhMIyjNOISGkQkKe30nNfjETUCGhmO++lr0gCNAQOi5GU1d7O1xuN9weVjQnLxrnR\/Dnn4gweaH0qhJIEujsBB59FHjqKaCry56IsbysHOsvWo8btt6Aq9ZfhfLScrBnQldvF6LR6Owa9Ccko5I160URE8LaLUFo6HaGwMgQBg86Dy\/H8We34tSB7ejrXSHP54Xf62ei0J0SyAsCnBuhNwT0i8Cqb8G8uGWaSSVwHgEVEs5DoieUQP4QYLfsgb4+dIuI0NfTY6\/U4HRx0q2Jy8DqaKWICN6JvWT5ikanBOaAQEhqqPv2Ab\/9LXDsGIxlwSsi2+L5i20xYfuV27Fo\/iL0D\/bjVMcpRGIRcIgQf1Ozktt+SWU3kHgoAWtIBIVEQoxFqU7LJld0KxICfN7k1su9B6y4GFUn63Hoyetx8sAODAaWIhYrExJaVRMIuhUgAU642B2UZ98qwMJpkZRAERDQv05FcJO1iIVLgJXQ7o4OdLW1IUFDye+Hw+GAMRN3fa0SHBQSjJnYj3gB9D8lUAgEAoGR3gnPPgsEAragUOorwdWXXo2bt92MzRs3o8RbgpMtJ+2JGKOxWe6d0AEk7kvAOiJiwnAC\/E0XAnYtw4UJ2AJC3CAy5EXfqSYcf3wrjjx\/C4aHFkhgzmCj72gBoVsBE+CEi1wCUnWEAr7JWrSCJuAo6NJp4ZRAgROIhMMIdHeDYoJLWls9Hg8uVGSu1sA5Ei7kT68rgYIhwGUi9+yBPRnj8eOA\/G6cDgdWLF6B6zZfh+u3XI95jfMQGAygraMNw8Fhu3fCrJW\/T1J6DkjsTcDqtpBgn185pVvhEuAQhtiwC4GTC3B67xU4sXc7erpXy3OnkygW7l3Xko0lEGYvnDAQjcn7T3tjjcWj35VAzhNQISHnb5FmsEgIpFXM4cFBe1jDYH8\/OMmiw+mctDcChzNQSODwhrQS1EBKIF8JRCLAiROw50544QVgeBgOY1BXXYerNlyFV9z6CqxcshIutwsnWk6gb5DW\/SwWNihpHRb3JGAds+xlIuWbbgVIwBKjabC1Fsee2YET+3ait+MiRKNVUlKtkgkE3YqMAJeA7JfXs+oIRXbjtbgFQUD\/ahXEbdRCzB2BuUuZkyxyfoTOtjaIegBfSQmcIiRgkg\/XcygX48kY7TI7CSa9VMgE2Dth1y7gSbHYOzpgYjF4XR4sblqEV936Kmy7bBsWzluIzq5OtHS0IBgOIm7FMStDDhICPiDuWRET9lqI98VhxUVUYB94Oa1b\/hKw4glEQy4Mtlfj9O7LcHj3zegPLEc8zreyUwrGdzKdHOqmBIqIQI+IqBzeAL7\/iqjcWlQlUAgEVEgohLuoZZg+gQIIEZUW1t6uLntoQ0lpKS40rIFVVFZZSwug7FoEJZARgXgcePFF4OGHAU7IODgolruFitIKbL1sqz13wsZ1G+0kOro67LkTKNzZJ2bjv5AkclCcCAqJUwkkIuJUTBAg+bfxtsVDTvS3NKHl+U04\/txOdLRsFAGBkyjyrZx\/ZdIcK4FsEqCQ0C9iguoI2aSqcSmB2SGgQsLscNZUskRAoxkhwNZRzo\/ASRY5vIG9ERxOtmqNXB\/vf16liOAe76KeUwLFSECEODz9NPDYY8DQEGjWlfpLsXbFWtyy4xbsuHwHqsqr0NPbg\/budkSikdmjFJWkWsQ9AyT2iZAQFEerVE7plj8Ewp1+HN+1Bcf37kR368UIheok81r1Egi6KQGbwIC8VvvCQFyUBNnsc\/qfElAC+UFA\/5rlx33K91xq\/meAwEAggK72dhhj4Ha77dUaJkuGAgKFBJf4n8yfXlMCRUUgKhb70aPAj34EnDwJI99dIsrV19Rjy2VbcOP2G7Fq6SpEIhGcbj+NgcEBxOIxWNYszDPOWrW01OEFEROeTsDqsWDFJF2eL6qblD+FtawE4hGD4e4ynH56PfY9+Qr0dq1GLFqJBFxSEMpVstNNCSgBmwBfZwEREoIiKMiPxD6n\/ykBJZAfBFRIyI\/7NEe51GRzlQC7WfdIa2pPZye4WoNThIQL5dUWEkRE0B\/9hUjp9aIkMDQE\/OY3wFNPAfK7MiIUlPhKsG7FOty47UZsu3wbqiqq0B3oRk+gB7O+TORJuSuPiaBwMIHEkDjtnSBAcmfj7YiHnRjqqEPr\/vU4+ux1aG\/dJIKTTzKp4oFA0E0JTEggEAKGRdOd0INeUAJKICcJqE2Rk7clw0xp8IInMCxGD3sjhINBuFwuOB0X\/imzOss5Ei7ss+DxaQGVwPgEItIkxjkTHnkEOHwYFBO8Hi8Wz1+MHVfssJeJXLJwCYZCQzjVfgpDwaHZmYQRZz5cSOJ5wHraQqJbxARp\/T5zRXdzSMCKA8HuCrS8sB7Hn9+OjhMbEBpukGfDLblSEUEg6KYEJiUQCALDMWiHhEkp6UUlkHsE1KbIoXuiWVECUyFgSUsphzW0nz4trV0W3B4PHE7npEF51S8+fMbYQyHkUDcloATGI8CJGDs6RiZifOwxGBHtnAmgqrwSl6+7HDdtvQmXrbsMPo8PJ1tPore\/F+whxHlLxosu6+fYandaKtwPJWCdtGBFLSQoKEges56WRjguAfY+sIR5PJZAZMCDzgMrcPipm9Bx6nKEgxQQvBKO1Ssje92UgBK4EAEObRgSHVeqN+Dv60L+9boSUAK5QYB\/6XIjJ\/mbC825EphVApb8pe3v7UWgq8tO1zWFYQ2szrI3Aqu3diD9TwkogckJRMViP3AAeOghe+4ERCJ2z5+lC5bius3X4catN2L5ouXo6+9DS2cLhoPDtrCH2foMS0JPiKDwbGKkd4IYtbMmZkjSxbwl4kCotwKdL67Bkaeuw6nDOxCJ1ggSvmllp5sSUALTIhCR31R\/GOAUMNMKqJ6VgBKYUwJFLCTMKXdNXAmkTYDDGbjsYzgUsnsicGiDMZNXYDnFlz3RYtqpakAlUIQEYrEREeGxx4DnngMGBuCQ31pddR2uXH8lbt1xK9avXg+3043THaft+RM4EeOskYpKSkdETNiVgHXCQiKq3RKEyIxu0T4XWl+4FCee247Wo1diaHCBpMc3rOx0UwJKIC0CFBD6QgAFhbQi0EBKQAnMCYH8ExLmBJMmqgRygwBbHIPDw+hsawNnkXd7PHC6LlyJ9Uj2K8UAMmZywUG86aYElEAqgYQY5\/39I0LCo48CXCklHofP68OKxStwx\/V34KoNV2Fewzz09PWgrXPkt8nfamo0M3YsLXlg56RdIijsEUFhUAQFS\/Is24ylWWQRJywgOuRC576l2P\/476Dt+OUiIMyHZXmFhEOcbkpACWRCICrvMQoJFBQyiUfDKgElMLsEZu0v4OwWS1NTAoVJgGOxB8WoCXR3IxaNwuvzwTGFiRY55VeZigiF+VBoqWaHgIgHOH58ZKjDgQMwIujxD2hlaYU9zOHmbTdj49qNdl64TGRgIICo\/EZnTVCISNIHRUx4QsSEUxasiAV77gQ5rdv0CVA\/smIG4X4\/ug4vxbGnrsGJQzsRCVdLZJx1hqIsnXzVTQkogYwIxEX4HIoCMREUMopIAysBJTCrBFgPmixBvaYElEAOEaB4QBGBYgIFBI+XLWKTZ5BVXfryTe5NryoBJTAVAj09sJeIfPxxu3eCNEvD5XRh7Yq1uHHLjdh+xXbUVNUg0B9AZ28nwpEwZk1MkJZztEshdgOJ\/QkkhsXRIpZTuk2dAHsgRAZ86DqyHMd3b8Ppg1vQ379UImDvL75R5VA3JaAEskZAdAR7+UfRP8HXGL9nLXKNSAkogekSmLJ\/FRKmjEo9KoG5JUBjhMMZejo7MTw4CIoIU5lokW1nVZJ1\/bELBN2UQDYIhMP28pB48EF7b2IxOJ1ONNU3YcflO3DbNbfZEzGyB1FrZysGhgcQt+KzQaHc2QAAEABJREFUIyiwBj4ghdwvYsLjCVidFiztLyxAJt\/4frWsBKJBF3qPLsDxXTtw+tAWDAQWIx7nVLV8g6qIMDlFvaoE0icQjgPhmLy3VElIH6KGLHICs198\/mWc\/VQ1RSWgBKZNwLIshIaGEJAWUR77S0qmtJQj29B0foRp49YASmByAmzpDwRgiwlPPgnT1wf+QS3x+e3eCbdfczuuuvQqVJRVoKOrA129XYhEI+Bvl0br5JFn4apUyu3eCY9KxfyICAoha3aEjCxkfTaj4G0UjUcEBC\/6Ts7H8ae34ti+6zDQvwRW3CdZ4V1VAUFA6KYEZpRAOAoExVkUQ2c0JY1cCeQYgTzODv9C5nH2NetKoHgI0PgYGhhAnwgJHNbgEyFhKqWnkFA9FY\/qRwkogekT4NwJe\/cC990HHDokTWphu3dCc0OzPczhhq03YMWSFfYQh\/audnuZSP6Wp59QmiGGJByHOjyVQKJTnNbSBcjIRhEhFnQhcGIRTu3ejBP7dqCvd4UILt4RD\/q\/ElACs0YgJOJnUJzqCLOGXBPKkIAGh92AohyUgBLIcQI0PCwxWAZFSBiUlk8OaXB7uBbDhTNOX+U60eKFQakPJZAuAVqkHR3AE08Au3bByO\/UKb+56opqbFq7CbdsvwWXrbsMXOmhpbMFPYEecNgDf9fpJjmtcNLKhxNAgkMdDlmwirx3ArnHww4MnGrEiV1bRUDYjt6uVYhFywUrB4MZ2eumBJTAbBLgsAa6hCoJs4m9GNPSMmeRgPZIyCJMjUoJzCSBWCwGTrTIeRLcHs+UhjWwOlwmmaJRIzvdlIASmEkCw8PA888D990HnDoFzp3gcbmxeP5iXL\/leuy8aicWNy9GV6ALp9pOIRQJ2UMdZjJLo+Lm3Am7RFDYnYDVb4GrOtCoHuWnQL\/QOKGLR4CBtnqcfPoKHHz2NgR6LhJRp1RKzeoQ35hyqJsSUAKzTiAcB0IiemqnqVlHnycJajZzkQD\/cuZivjRPSkAJjCEQFyGhW1o9E5YF9kgYc3ncr\/yBs41t3It6UgkogewToLXa1gY88giwezfQ1weHtLBVlVfhivVX2BMxcu4Et9uN022n0dvfK4as1KCzn5PxY2RSR+XS44B1VMSEUALFICbEw070n27EyWc349ju69DdfYlA4MK4stNNCSiBOSfAOWG5akNiznOiGcgqAY2soAnQzijoAmrhlEChEIiEw+CKDSyP2+Ph7oKOP\/DyC\/pSD0pACWSdQH\/\/SO+EJ58EWlvt3gl+r9+eL+HmbTfj2iuvBedR4DCHlo4WBENBu3fCrBj1lpS2S9xzQGJfAlafCAoF1gxIjgkpU0wEhIGWepzeczmO770G3e3rEI1WSuG194FA0E0J5AwBvpbsyRZ5kDO5Kt6MaMmVwFQI0M6Yij\/1owSUwBwS4Ezvga4uhNh12hh7MjdM4cOqcqn4n4JX9aIElEC2CUQiwLFjIys77N8PI79fh\/wea6pqsPXyrbh1x61Yf9F6JOTf6fbT6Bvss8WEbGdjwviCcuWAuKdFUGiVXESlLVA2OZP3WyJmMNRZhZY9G3H0uWvR1XYxopFKKVdyDgS+HeWrbkpACeQMgWAMiBfIO2iOoGqySmBWCaiQMKu4NTElkB4BTszWeuoUYtGoLSI4nKwMXzgudtylu7BP9aEElMCMEOBQB\/ZOeFqsdfZO6OyEsSx43R6sXr4at15zK3ZeuRMNdQ3o6etBe3c7QuHQ7A03YKW9XYSEJxOw9lmwBiwkpCbPFv0Z4TGDkRJ1POLAYFs1TouAcGz3DehsXY+RHgh8Z6p4MIP4NWolkDGB4QgQLcoeCRmj0wiUwJwQUCFhTrBrokpg6gRYoaeA0H76NDi8wePxgMs\/TiUGn3jSiRYFgm5KYK4JsHfCiy8CDz00skykfHcYBxpqG7D1sq24ceuNWL10tT1fQltnG\/oH++1j\/v5nJevDksp+ERSeFUGhU8SEWGL2xAxJOpPNshKwogbB7gq07bsEx\/fsRMfpjQiHayRaLoCrAoKA0E0J5DyBoSgQi+d8Ns9lUI+UQJETUCGhyB8ALX5+EAgODWGgrw9cucHt9U5pxQaWzCv\/sRotO92UgBLIBQJdXcCjjwKPPw7T2wsjzeil\/lJcvPJi3LTtJmzesBmVFZXoDnTbqztEo9HZM+hjAui0uMdFUDiYQCKUkAP5nsNbQoyOYG852l5Yi0PP3Ij2k5sQCtVJjvnmUwFBQOimBPKGQEjeQfKTnvH8agJKQAlkh4AKCdnhqLEogZkjIIZGnxgcFBESlgWn2z0lIYFVaLtHwszlTGNWAkogHQKRCLBfmv9\/+1vg+HF7IkYuE7mweSG4ROQNV9+AZQuWYTg4jJbOFgwOD9pzJ8xK74SEFGhI3G7REJ5KwOqxwKEOcianNgoI4X4f2p5fi6NP34TWE5sRDdeK6OKWfPLtJzvdlIASyCsCEVERpJozUZ71vBJQAjlGQIWEHLshmh0lMJYA6\/WBnh5EQiEYhwMuF1vaMKWP1xhwZDD0owSUQO4R6O4G7r8feOYZIBAA504oLy3HpWsuxY3bbrSXi2RvhY7uDnv+hFg8JoYy3wizUBQmc1LEhEdFTMiRZSJFU0WcQxh6y9F54CIcevwWtIiAEBYBAfqmm4WHQpNQAukQmHqYuCXvHHn3yDb1QOpTCSiBOSOgQsKcodeElcDUCLAVsk8MjuDwsC0iOKc40SJj1x4JpKBOCeQwAfZOeP554JFHgBMnYKJReD1eLF24FNdddR2uvfpaLJ6\/GINDg2jtbLWXieQ7AbP16ZeEngWsXRYSXYmR3glzUMu3YkCotwydBy\/C8We34fSRqxEK1UvmKKwa2eumBJRAVgnMQWQxCglzkK4mqQSUQHoEVEhIj5uGUgKzRoATLA7299s9Erx+P6Y60SKr1z7JJZebk51uSkAJ5CqBeBw4fRp4+GHgueeAoSFpXzeorarB5vWbccv2W3DJ6kvsIU1HTx+1eydwJZdZExQiAu4okODKDicsWFLbn4202QOB3ZwjAx50HVqJo7uuxenDV2NocAGshEcypQKCQNBNCYwikM9f5NWCRCKfS6B5VwLFRUCFhOK631raPCQwPDiIcChkO7eHleepFYJDGqbue2pxqi8loARmkMDwMLB7N+yVHVpagGgULqcTyxYtw63bbwWXiVy6YKk9EWNbVxvCkbBUumex1h2Qsu8SQWFPAol+cXFxWa71U6Cgs0RbiQz60Ht0CY49cw1OHdyC4HCTZEDnQBAIuhUeAS2REJBXCmbxjSYp6qYElEAmBFRIyISehlUCs0BgaGAAFBMsaZrzerkOw9QSZY8Et9EWu6nRUl9KIEcIsHfCyZP2qg6ckNGIuOCEQW11LXZcsQM3b78ZG9dstDPb2tGK3r5eezUXGt\/2yZn+LyQJHAQSnIjxlIVEOLtiQsICIv1+9BxdihO7t+LkgW0Y6F8ixgXfffo+E\/q65RQBzUw2CbBHgmiI2YxS41ICSmAGCaiQMINwNWolkA0CHNYw2NcHp8sF9zSEBP642XaXjTxoHEpACcwiAREN0d0NPPUUwKUiuWSknPN5fVizbA1u3XErtl2xDdVV1XPTO4E1\/Xbh8YwICgek\/XBYjmUn\/2e0JaJA4MhCHH12J07s34b+3qWIx0skThUQBIJu2SSgceUkAfZIgIiJOZk5zZQSUALnEaCtcd5JPaEElEBuEIjHYhgaHAQnWvSXlEx5fgTm3in\/qZAgEHRTAvlKQH7\/OHp0ZGWHw4eBYBBOM9I74ZorrsFtO27DRcsusoc3cKgDl4mMW3H7+6wUOSip7AWsJyzEO+Kwopad9lR7R9AfeyDEQm70n6zHiw\/egqP7b8JQ\/0KJxy+RaxVFIOiWQkAPC5sAeyRYicIuo5ZOCRQSAf0rXUh3U8tScASikQiCQ0OIyJ4TLU6ngPbQhukEUL9KQAnkJoHeXuCxxwAuE9nTA0ciAb\/Xj3Ur19m9EzZv3Iyqiip09XbZLhQJgUOhaKjPSoFaJZUngcTBBKzhqTUnit6ByJAPgRPzceLZq3Bkz40YHFooEfHNpT0QBEQhbVoWJTAlAtQQuAQkeDClEOpJCSiBuSSgQsJc0te0lcAFCESjUVtIYM+E6cyPwGi1RwIpqFMCBUIgKM3\/+\/ad650g7wan04n5jfOx4\/IduP7q67FswTJ7Asb2rnYMBYekVX8Wa+P9wvl5cU8BVreICRMkLRoIokGnLSCc2n01Tuzfjt7OixCPl0pgFRAEQg5tmhUlMPsEovL6kE21hNlHrykqgWkTUCFh2sg0gBKYPQIUEDhHAlsWPT7ftBLmsAZd+nFayNSzEshtApZUrzl3wkMP2b0T7IkYjUFleSU2rduEW3feik1rN9m9FU53nEagP4BYPDZ7gkJM8J0Wdx8QPzJ6qAOHMMSjTgx3VOHUs5txbO91CPSsQCxaLgEoe6qIICCys2ksSiCPCVBIoOCoSkIe30TNetEQUCGhaG61FjTfCFA8iMZi4KoNzLtnGhMt2v75nzoloAQKj4C8F7BnD\/DAA8CJEzChEFwOJxY2LcS1m6\/FdVuuw\/KFy9E32Ic56Z0QEeSciHFXAlZXAtEhN\/paG3F690Yc3nUTerrWiriRnANBBQShZW\/6nxJQAkA0Dnk\/KAkloATygYAKCflwlzSPRUsgGg6DSz86Xa5pTbRIYF7+p04JKIHCJMDeCadOjazq8PzzQF8f+Ae9tqoWl6+7HLdsvwUb126E0+UEJ2Ls7u1GnEtLzhaNqCR0BIg95UTP7mU4+cJWdLVdgmi0Ui4UlHgg5dFNCSiBbBHghIvZikvjUQJKYGYJsN4xsylo7EpACaRNgCICJ1p0iZAw3Ug80w2g\/pWAEsgvAuz\/OzAAPPvsyGSMXV0wcq7E58fKJStxx3V3YMcVO9BY1wgOdTjRckIM+ai09iVsN+OFtQDTm4B1yoFIsFrSdAHIFREB+lECSiAHCTj0FZGDd0WzpATGJ6BCwvhc9KwSyAkCHNYQi8WkVZEV8OllyWH0r\/H0iKlvJZCnBEQ84BAH3HcfwN4JIi4Yy0KZvxRbN261eyds2bgFFCRPtZ9C30DfrPVOcCAOrxWA0xrKDlyNRQkogYIm4HYCWn2BfpRAXhBQISEvbpNmslgJDPT3Ix6Nwu2Zfv8C+VtcrNi03EqgOAkEAsCzzwJPPQV0dEDUAvi8PqxdsRY3bbsJ1119Hepr6tHb32vPnRAMBcFlImcK1sg8L1EMBloQ6z8Bfp+ptDReJaAECoOARywTW0jQtpDCuKFaioImID\/Xgi6fFk4J5DWBgUAA7JHgdrunXQ4VEqaNTAMogfwnEAoBhw8Dv\/kNcPQoIEIkJ2JsqG3Atsu24fYdt2PlopWIxqM40XoCA4MDkxn4afOgaNA3MICn9+zGc3seR1\/HQSQsLuuQdpQaUAkogSIg4BbLRDWEIrjRWsSCICA\/14Ioh4igzJ8AABAASURBVBZCCRQkgeGhIal8W3ClISRMX3ooSIRaKCVQfAQSCUDeHfaqDk88AfT0wJFI2L0TVi1fhVt33oqrN1yNxtpGdAe60dnTiXA4DBr\/mcBi+KgIFz0igL7w4gE8\/NST6OgIwJnwwh+PwESDkEQySULDKgElUOAEOCUUeySomFDgN1qLVxAEHAVRCi2EEihAAlY8jtDwsF0y45j+T9Vph9T\/lIASyBsC2c6ovEOwfz\/wyCPAoUNAJAKX04V5DfOw86qduP7q6+1JGSPRCNq729E\/1A+u7EBBYDpZoX8KCJ3dXXjh0It45vnn8eLRU\/C4KrFk3lpcsuwSLKmtgA9hiVZEDvlfNyWgBJTAWAIuUQ9kG3tavysBJZCjBKZvneRoQTRbSqDQCESkhTAmrXsslzHT\/9OqP26SU6cEZp5ATqdAMaG1dWRVh4cfBgYHwYlYK8oqcOnqS+25Ezat24QSXwnau9rRE+iZtpgwMDyE51\/ch2f2Po8jx05jYDCG5fMvxoaLrsTyhStRXVEFn4nCHR8AElZO49LMKQElMHcEXFJxSaO6M3cZ1pSVQJETkJ9skRPQ4iuBHCXApR\/ZOsjsOdLpkaB\/jYlOnRKYiEBxnRdhEgcPAvfeC5w6BYeIlF6PB0sWLMENW27ANVddYx+zV0J7dztCkdCEEzGyBwLnbukf7Me+wy\/i4SefwLFTbYhHPZhXvwzXXH4DVi29COWl5eBKEcYYOOMheGP9cFhx6EcJKAElMB4BCgnO6bebjBeVnlMCSmAWCDhmIQ1NQgkogTQIBIeHpfFupPXOmOn\/ZdWhDWlA1yB5QECzmBEBrubAoQ579gCBAEQtQGV5Ja645ArcvPVmXH7x5XA6nWjtbEVPXw8oGFA4YJrc83tvXwAHjx\/F03v24uDhk3CaUixqXIX1qy7HuhWXwu8tofdRzoHYiJCQCMn5hDjdlIASUAKjCVBISKO6MzoS\/aYElMCsEVAhYdZQa0JKYHoEOD9CskfC9EKO+NYf9wgH\/T9HCGg2coNAQoz4vj6AQsKjjwInT0LUAnsixhWLV+DGrTfimiuvQVNtE\/oG+nCq\/RQ4h4JlWRgcGsKBo4exa+8eHDxyHMNDcSxoWImLV1yOlYvXoK663hYhjDlf+OT7yB0bgCfWnxscNBdKQAnkHAFbSMi5XGmGlIASmIgA\/7ZPdE3PKwElMIcEgsEgorEYnC6XXTmfblZG+jJMN5T6VwKjCei3AiUQjYJDHEAxYf9+mFAILocDtdW1uPaqa\/GSa1+CdSvX2YV\/8dhBHDl5HI8++xRePHwUQ4MJ1FYswIbVV2H1snWoqayBx+2BMcZ2dqBx\/vNYg\/BFAnYvCEAEjXH86CkloASKl4BbrBKHAWSDfpSAEsh9AvKTzf1Mag6VQDESYI+EhFT27fkRpIJejAy0zGkT0IBKYGoE+vuBZ54BDh+2eyYgkYAxBisWr8Ct22+1RQVYbuw7dASRkAvNdcvtIQwXr9wgAkIt7PcTpvZxwoI3HoArPjS1AOpLCSiBoiIgWqa8f4qqyFpYJZDXBFRIyOvbp5kvZAKRUAixeBxG\/rIaM319PlHIcAq2bFowJTAHBORdA67sMDx8NnGn04mGugZs3bQVmy\/djnm1y9FcsxwrFq5GQ20TvB6vVPin\/17yxvpGhjfoC+osaz1QAkpghIAObRjhoP8rgXwhoEJCvtwpzWfREeCwBkuEBLb4Tb+6Dmn7Kzpkc1dgTVkJ5DuBri6AvRMS5yx8vntKS0px1YYrsKhpOTzuEhEPnOLSeSONAHLHh0AxAYmYnDiXlnzRTQkogSInUOICnGqZFPlToMXPJwL6c82nu6V5LSoC8WjUFgMc7JEgrqgKP0uF1WSUgBI4Q4C9EQIBQN47HN5w5qwtGjQ31KCqqhIupxPhSEQupy8AGMThifXBZQWh0yQkKeteCSgBEij1QN4zPFKnBJRAPhBw5EMmNY9KoBgJRKVCn7AsuyJfjOWfpMx6SQkogWwTiMeB7m4gHB4VszEGXo8HyxfPt\/fBUARcwWGUp2l8MeLXExuAMyZCgioJQkM3JaAEkgTKREjw8CWRPKF7JaAEcpqAI6dzp5lTAkVMIB6LIRMhwUrpopwbGDUXSkAJ5DSBQAAIioEvAiZS3h8ulxNLF82D1+tBNBpDpu8WlxWEJz4AHd6Q00+DZk4JzDqBEjd0aMOsU9cElUD6BFRISJ+dhlQCM0aALX5neySkOazBylbuNB4loASKgwCHN\/T1AeydkFJiTvhaU1mBxvoa0RcshEMR2ac3vMFIvE4rDHesH454TMQEOaGbElACRU\/AJS8Hvxvg8o9FD0MBKIE8IaBCQp7cKM1mcRGgkJCQFkFW1Y0xaRVequhphdNASkAJFCkB9kbo7T1fSBAcJX4fFjQ32Ms9DgVDcib9zYk4fBzekGA8fMulH5eGVAJKoDAIeF2A1wmkWeWBfpSAEph9AiokzD5zTVEJTEbAvsZhDdLkh0yGNkTtmPQ\/JaAElMAUCXBIA4UELgc5JojH40ZTfS1KSnwYluvxMb0Wxnif9CulUXe8H654UPypkCAQdFMCRU+AIoJPxAS+H4oehgJQAnlCQIWEPLlRms1cJ5Dd\/Nk9EiRK9krgqg1yOO0tMu0QGkAJKIGiJ9DTA3CIA0WFMzCMMXA5XairqUK9uFgsjuFgCHw\/nfEy7Z03PghOumisuIRVMUEg6KYEipqA3SNBhAQd2lDUj4EWPs8IqJCQZzdMs5tlArkaXSKlYi2V+HSyGU2NI50INIwSUALFR2BoCAgEAAoJKe8Qh9TuqyrKREyoFlHBkbGQ4EACvmg3HAmVPIvvIdMSK4HzCXicgN0jQbsknA9HzyiBHCWgQkKO3hjN1uQEiupqSmV+OuXWORKmQ0v9KgElYBPg++b0aSAatb8m\/zPGwO\/3obmhDqV+P4KhMGJcWYb+k56muS+JdsJphSCawjRDqncloAQKjQCHNtDJq6bQiqblUQIFS0CFhIK9tTlZMM3UVAmc+UuaiTA\/2gyYasLqTwkogaIn0NIChMOjMBhj4PV40NhQi\/LyElhWAuFIZm8ZjzUMT6RPhAQd3jAKtn5RAkVIgCIChzc4WPGhK0IGWmQlkG8EHPmWYc3vXBDQNGebgDFn\/oom92lkILMqfhoJahAloAQKg0AkArS1nbd6g8vlRE1VOeprRoY3UEjIZJ4EvuVKI21wJORtlTKaqzAgaimUgBKYKgEaI3434HYAfC\/QQT9KQAnkPAH5yeZ8HjWD6RLQcHlLwBhj\/zFlAdKtqEvVHOmGZbrqlIASKGICx48DnCchBYExBuWlpVg4vxEejwdhERxi8XhG75mSSCecZ1dvUDUhBbceKoGiIeA0QIkbcKpVUjT3XAtaGAT0J5uD91GzpASMMSMQkvuRb9P6n52FdZ6EaSFTz0pACSQJdHYCg4MQlSB5xt5z+cfmxjr4fV7RGSzEYnzT2JfS+s+ZCMMb7ZWwljjdlIASKEYCLrFGKrwA98VYfi2zEshXAo58zXgO5luzpASyRsCYESGB\/6fbRkcRgS5rmdKIlIASKB4CnCOhvf288rqcHN5QiaaGWnCexWg0Kvt031KAA3H4o10w7P2QfjTn5VNPKAElkD8EXE6g0gdw5Yb8ybXmVAkoARUSoA+BEshBAhQS6Jg11ta5n6ajiBCZZhj1rgSUgBKwCdCwT86TMOYdVFVehnlN9fbwq0g0lpGQYCQxbzQARzwkR6okCATdlEDREeBEi5VeaI+EorvzWuB8J+DI2wJoxpVAARMwhtXrkQKmO88BOxyrkDDCUP9XAkogDQKBwMjwhjFBfT4vGutrUFLiRzQWQzye\/rAEvunc8SF4Yn3QZSDHgNavSqBICHBYA+dIcIhVklL9KZLSazGVQP4SkJ\/s7GZeU1MCSuDCBJxOJxzyF9UYY49DvnCI833YPRLGtCSe70vPKAEloAQmINAnxn0gIAb+6J4CTpcTdTVVqK+tRjgcRSTD4Q3uRAjeqKSVSF+QmKAEeloJKIE8IFDtB0o8sHs5QT9KQAnkDQHHFHOq3pSAEphFAsYYuD0eGBEUtEfCLILXpJSAEjhHIBIBurogaua5c3JkjEFFWZkICVWwxPiPRDIf3lAS6xpZBlLi100JKIHiIlDtEyHBVVxl1tIqgTwgcMEsqpBwQUTqQQnMDQGPzweH0wkrzeXVOLQhKllPV4iQoLopASVQ7ARaW4Eo3yTnQDhESPD7veCEiyXynhoOBRFL8z3FWDm8wRvtgdOeJ4Fn1CkBJVAsBBzyAuBEi353sZRYy6kEZprA7MWvQsLssdaUlMC0CHg9Hjilwp7gpGfTCjnimZ2RpT0R2ll4hIf+rwSUQBoE2CMhGDwvoM\/rsYc3VFeVIxgKIxbjYKrzvE35BIc3+KLd4p9vLtnppgSUQFEQKBcBocoLOMUikSpPUZRZC6kExiWQhyflZ5uHudYsK4EiIODxeuFwuWCJkECXTpHDiQTYMyGdsBpGCSgBJWD3Rjh16rzhDVwGsqqiHI31tbDiCYTCI8tAptsDipWRstBJQN5ZSl0JKIHiIVBTAlT4oPMjQD\/5SqCY882\/3cVcfi27EshZAh6\/H6ys2yJCmpXrsJROhQSBoJsSUALpEzhxAqJojgpvjEFleZkICTXw+TwIBkeGN4zyNM0vpdEOOGLDEkp7JQgE3ZRAURCoERGhSpwqCUVxu3OpkJqXLBBQISELEDUKJTATBFJ7JKRTrWYYdkjOrMPxTJRM41QCSiCvCPT0AFzBYYygWVriR21VJaorKxCOxERryGwglRNxlIRaoR8loASKhwBXbODyj6Z4iqwlzYiABs4lAiok5NLd0LwogRQCHo9nZLJFy0K68ySEJL74mMq\/nNJNCSgBJTB1Apz\/4OT5ww5cLica6qrRWF8Nrt7ApSA5tIFu6pGf80lDojwi6cg7D6AUeu6aHikBJVB4BHxOoNILuGVv+AIovCJqiZIEdF+QBBwFWSotlBIoAAK+M0MbIEKAPbwhjTJRSODwhjSCahAloASUwAiBeBxIrt4g76ORkyP\/N9TVoK6mGm6XC+FwRF5XmQkAvlg\/XPH+kcj1fyWgBAqaQJkH4IoNXLmhoAuax4XTrCuByQiokDAZHb2mBOaQQElpKYwjs58oOxpzeMMcFkOTVgJKIN8JUDwYGAACgfNKUiKCZ2NDDSrKShGKRBCP861znrcpn3BYUfgj3dohYcrEZtYje5fEIyEEO4+h98UH0fHU99HywDdw+rf\/Ivuvo3PXDzHUsg\/xKCXrxKSZCfe1o+eFe9H60DfRcv\/X0P7Ef2Pw1PNg\/KJATRr2QheteAyhnpPofv6XaHnwbon\/G+h85ocYbj+MBIWwCSKwrLhdts5d\/4eWB76Otke\/g4GTuyVPYcnS+OWJBfvRu+8+tEo6g6f3Thr\/BMnq6TMEKCLU+M980V02CWhcSmBWCGRmpcxm2hYLAAAQAElEQVRKFjURJVCcBEorKuB0jPxErUkqQpPRYZV+kEbAZJ70mhJQAkrgQgRCIaCbBr4YVynvFIc0JS5oakRtTSUikSiiYtBdKKrJrjsRg49CgsXZXSStyTzrtZknkLAQOHA\/Dv3nO3Hku3+Fkz\/7e7Te\/1W0P3S3vT\/xo4\/jwDf+CEfv+QiCPa228U3xAWc+PI5HQ+ja\/RO8+K234uj334+W334ZrWK0n\/rFZ3Hw3\/8UJ3\/xGYT7O+2w8t+ZkFPb2fFHgiIg\/BwHv\/NOHPufD6H1vn+W+L+CEz\/+W+z719\/Dqfu+grgIHfSbjJ\/H8VgUPXt+gYP\/+ec48aNPgOU6\/asv4NC334X2x78DKywyfMqzPhImgsGTe9D64Dcw3LofDpdYwfIbgH6mTYC1G06yyBUbFGESn+6VQH4R4O84v3KsuVUCRUKAky1y5QYWlxUY7qfrEhJgSJxuSkAJKIGMCHCeBAoJYbY8j46pvrYKdTVVMMYgGqUAMPr6dL4ZJOCJD8AVlzcXX2DTCax+Z4SAq7QGFcuvRv0Vr8L869+JxS\/9MJa8\/G+x6Pb3of7K18JbtwR9B+7DsR\/eheH2F5FqrMfCg+h69segcBAPDaJq3fVYcPNfShx3oXHbH8Jbuwi9e3+F07\/+AkLdJyXo1G86\/y7GhvvQ8fh3cfqXX0RChIGaS2\/Dwtveg0Uv+QDqr3o1PBUN6BDR4+TPP4PIgIgV8nwRUsKKY+D4M+h44rsSLoK6y16OhRKm+Zo\/hru8AZ1yvu\/o46PzI6JKuOckep7\/BRxuH+o2vhT++sXy3DsYpbppEvC5gfoSwOeaZsBc9K55UgJFSkDffkV647XYuU\/AGIPSsjI7o5n0SJDquB2H\/qcElIASSJsAe0Vx5Yah898oHrcb85vqUeL3YWBweLTxlUaC7vgg3CImiEWaRmgNklUCxoGyBRdj\/nVvw4Ib3o7Gq1+LuvW3okYEgfpNL8X86\/8U86\/7U3iq5yHY8oItGiTE4LbzIK35wfbDCLxwL2IDXai\/\/BWYf8M7UC9Ge+0lN6N5+x9inoT11ixC34sPo+uZe2BFhuW2T01MsOJRDJ7ag57nfgaYBGoufQnm7XyrGPh3om7DSzBfjpt3\/jGMx4\/e53+JwIEHYVEQAxAPDyHYdgDhQAvKl14u5Xod6kSEaNryBrBcVjSE\/kOPSV7Yr08CyBYbDqB7z88R7DyC6rXXo3TBOhURhEu6m98J1JUAXme6MWQeTmNQAkogMwIqJGTGT0MrgRklwHkSHA4HYmcqP+kkFpRAEanQyU43JaAElEB6BPgOGRwE6HicEgvfUc0NdaiqLBMh4XyhIcXrlA6diQi8sYAYcfEp+VdPM0fAGAOnGOIufyUcLo8YzqOn1ne43PA1roS3agESsQjCXcdw9iOCwnDLXgTbD8LfvBpVq6+DR1r7OfePMQYOp0uM8YtRvmILLCuGwRO7MCxGeuJMrwFc4GOJGDB4fJeIAafhr1+GypVb4S6vlTw6xBk4vSWoWXsDyhZvFIFiSISBhxEf7gE\/CUkvHuyDKAvwVDZLuHoJI+EkT77mi2CcHkQCp8XriKhBYSFw8GERO36I0vlrUXXRDji8IvQbI350S4cAJ1qs9cNesWGa4dW7ElACOULAkSP50GwoASUwDgF7ngRp7YtFo+NcndqpmHjrGVPxl1O6KQEloASmR4DDGji8YYyw6XI5RUQox7yGenCyxaHhUNq9EmiWORNx+KO9cFjpv\/egnxklkJC\/KYl47GzLfqTnJByeEpTOk1b6MynHxNAPdZ8ADXa\/GOfusmo4xPA2hncZYrgbOEWcKBUhwuUrQ3SwCyERIhJTWP6TfmLBAYS6jyERj8BTNQ++moUSv8OOF2c+FCuq11wPGIcIGocQHRaBSoQK43DC4S21z8eGuu08ykMrm4Vw7ylQaHCV1QEwYM+HgVPPo\/PJ78FftwQ162+Hp6IRDocD+pkOgXN+nfIIVIuIUCHOIcdG3LmreqQElEC+ENC3YL7cKc1nURJgjwSX04lMhARWxXul0leUALXQSkAJZI9AJAL09ADjCJtlpX40NdSitMSPnkAgozSNGHoeexlI9m4YaRHOKEINnBUC8UgQfYcfk1b5\/xN3j73qQst9X0XLb\/8JsfCAGNi3oXbjnYAY6UwwOtgt4kAn4HJLi38dHG4fMMZipEHvrmiwr1kSP8NQoJBHAJN\/LMSCfYgN98M4PXCX1YI9EMbGzzhK5q2RnUE81CdCQi8Yt1NED3\/DCrjL6zFwfBe6nv0R+o48Bk6+2L3rx2C+KpZdaYcLB9rQ9fT\/irgQR8NVrxaxZI0kY+RakWwzUEyXA6iRx6HKMwORa5RKQAnMGgH5Kc9aWpqQElAC0yTg5xKQTidiHJ88zbBJ7xQSpOqf\/Kp7JaAElEB6BChI9vcDdDxOicXv86Gutgr1NZXoDQzCsluVUzxM89BlhUZWb5hmOPU+cwTioQF0Pv0\/OPnzz+LULz4nAsKX0SWt9IADi+74IObtfAu8Vc1njWwrMgwrNCS6ggdOl+\/s+VE5NAYOMeqNwwXAQiIaQiLOv1rydbItASRiYfEfhHF54bR7F5hxQ1BksC\/IM2kND8phAsbpRvnijahd\/xLEw4Nof+ibOPa\/H5ayfRrB1v0iityKyhVXi+Zg2ZMrDp54FrUb7kDlyi1SHrecByis0LF3hESac1suZ8grt7uuFOCEi7mcT82bElACkxNwTH5ZryoBJTCXBNgjwePxIB6LgV1J08lLQgKxXS8klSg51E0JKAElkD4BTrbY0QFRCkbF4XA40FhXi8aGWnlXWRjMYNJFmoPORBQlUWnNjsckHb7FZKfbnBJw+srAlQoW3PQuzLvhHWjY\/DqULd8MtvSf\/vln0L37R4gO9eKsYZ0QYUCcMQ4YcQDvLMZ8DIzDCWMMbOtc\/EMEhTGexv9Kv+KMMWAcgMF4H+Nyy+mRa4kzw2WMMXD5ytG4+TVY8ZrPon7za1GxbDNqL7kdS17xCcy79q1w+irQz94KT30f5csuR9Wa62BFw+jZ+wu8+O9vx54v3IHnPncbXvjaG9H26HcQHuiSnwXLnNHzKnkt\/K3MDTSXAw4DyK2AfpSAEshPAo78zLbmWgkUBwGv34+SsjLEREjIpIWP7TsDxYFMS6kElMBMEkjOkxCVt8qYXgm1NVWorqxAWWkp+kVwSFf8ZPaNWJWe+AA88T5+VZcDBJyeElSt3Ir6y1+OxitfhQXXvQ3LxeheeOtfw+mvsJd4bHvk3xELDYL33jg9YG8BGu+WJWK43NPziiHPUCIWEf8WIEYlnGJhGhem9HGIP\/GfkLhp4GO8+CWieHCkFwLjN1IGOXV24xwKZfPX2WVZ9rsfw6Lb\/xo1F22HS\/wNtezDyZ9+2p5\/oW7T78LlLUP\/oUfR+uDdMCKccanI+Tf\/OXy1i9Dx+HfQ8dh\/gr0bzkauBxMSKPMCTWVymfdcdropASWQnwQc+ZltzbUSKHwCxhi43W6UV1ZKJSuBKMcnp1lstumxV0KawTWYElACSmCEgBh+4DKQnCth5MzZ\/\/0+D+Y11aO2phKccDGWwZAs2hfueBD+SBfkBXg2DT3ILQJOj19a8q9C5aod4NKKA4cfRbDzsGQyYYsLrpJKuxXfNrCtuJwfsyUscK4DKybClIgC7PVg7B4EY\/yN\/Sp\/HzmcwekrlfhDEkcAmKDX3cjqCxKBwwNXabUc8OmSHbcJXCTQhrYHv4FI72k0bXkDSptXIzbUg569vwT1itpL70TdhjtRu\/5WEVZeCXdFE7qe+T+EelvkuvZImACrfdotlkdjKcBVGy58J+wg+p8SUAI5SkB+zjmaM82WElACcHs8qKiqgkMqTaFgMG0iEQk5IAaAJU4OdVMCSkAJpE9gYAD2pIs03FLeKcYYLF00H1XlYtxZCQRDYdEA0jeqnIkIfJEeGLs7evrxpF9QDTkVAsbpskUD43CKmBBGPCjPh9wud1ktPBXNgHEg3H0CsdDAqOeBvRaseAyh7pPSkj9kDzWgfwd7GhiDyT6QOF0lVXCX1Yu3BCL9HYgMdEr8lnw\/tzGN\/sNPinEfh6eqCW5fOWAmjpv+udpE5657MHDsaTRu\/X1UrdoOp9sjeRwUkeQoXCUV8FTWw+H2wul0w8t4y2qQiA0j0nNCdAYL+pmYQKkHWF4NOMUCmeRWTByBXlECSiBnCMjPOGfyohlRAkpgDAG3242SsjK4ZB\/OQEhgtSYIgIKC7HRTAkpACaRPgL2j2CMhFDovjsa6atRUV8LrcSMczkxIMGKSua0huGMjhul5iemJGSeQELEoMV5PgjMp0\/COh8TAbnsRnCjR6S4BV2GAARwOJ0qaVomhPR+crDDYeQRWPCrGvqgMdviEtPL3yrVn7F4F3upFtn+GtS9P8p8xBuy9UDJ\/LRy+ChEjjmOoZf+Y+IFQzykE9t0LGAfKFm2Cq6wOk31Ynr4XH0bP3ntRufoaNG19PYzTORJE4jAiHLD3hMWJHhP8ywo775Y9PCMhft0jfvX\/CQlUeIClIiQYM6EXvaAElECeEFAhIU9ulGazOAk4RUDwlZbC6\/Uikx4JCcEXFHd+tV9O6qYElIASmA4BMS7tlRsGOfZ8dECXy4VVyxajrNSPoWFpnY6PGFujfU39mzMeBJeChIgKUw+lPrNFgK38PXt\/hb5DjyEWZI+C0fcz1NeKlge+jr4D98G4PChfvtmeMwD8OBwombcGpYs2SNh+tD3wDQwc3yXGfswWE+KRELqeuceed8BTXoeaS2+Dp6JBdIRzFibnKTj16y\/h2P99FL0v\/AaWxYF6jBxwuH0oF3GgbN46RLpPofu5n2Do9AtIxBm\/hWD3CTvNcO9JeCrnoXrNtXB6S0YCT\/B\/sP0gOp78HtxltWi6+nVweujf2L5d\/gqUijASlTIPndqLeGhARISwpLkX4a7jcHrL4K1dLH61ai0Qxt3cgnJBJVDlA1RIgH6UQN4T0Ldd3t9CLUAhE3A4HCgVIcFXUoKwtP5ZrMCnUWBW\/YYlXDCRsCtwcqibElACSiB9AhQRuAwk50GQ90pqRCuXLUBpiQ+RaAzxNN9ZyfhciYgICQMwFvtTURJNXtH9BQlkwYMVGRID\/tc4\/F9\/jr1ffiUO\/Nsf49B3\/xoH\/+uvsPerr8e+L78aXU\/8FyCt9XWXvQzNO\/4QTo9fjESxGGHgrZ6Huo0vRdniyxBsfxFH\/vuv8eI334qD\/\/lu7P2nV6LtkW+C8xw0bH0Dqi+6BsbpkrgYFvYnEmhFYP9v0b37xxhu2y960rlnwEia\/sZlaNzyBvjnrcXgkcdG4v\/3t+PFb70dB+5+C3r2\/ATOkirMu+HtKFu0HsZxpncBzv9EBrrR8tuvIDrQjvrLfge++qUwxpz16C5vsOdEcIi40P7wt3DwO+\/GgW+\/E6d++QXEhrrRtP1N8FY24VyIs0H14AwBj9zeVdWAywHlBP0otPhMaAAAEABJREFUgfwnID\/l\/C+ElkAJFCoBYwz8ZWUoKS+XVpx4RhMusho+JBX+caa7KlR8Wi4loARmikA4DHvSRQ5zGJNGeVkpFs5vhkPeX8PBYNriJQ0yRyIGT7wfznhIjMgxCRXo11wqlru0DjWX3Ibay16OUmn5TyQsRHpPIRo4DYfTg4rlV4kh\/0YsednHMP\/at8LlLYUxRopg7L1DDPfSBeuw8KZ3Yt51bxP\/m+U+WogNdMJbswB1l78Ci257L+rW3w6Hy22HkcBnN6fE561dBH\/DcrhKa86e54ExBg6HC2WLNmDxS94LrqJQtvBScNhBPDwAf+MK1G9+PZa\/8lOoWXOd7dcYg\/E+8WgYfUcehxUNou7SO1CxbDMcTrF6Uzwbhwj7Ev+Cm96FqjXXSl4TSESHUbZ4A+bf\/G4JdzucHj\/oLyWYHqYQqPED8yoApyPlpB4qASWQtwT0p5y3t04zXiwE\/CUloDPGIDJOpX2qHCgkDIrncx1D5YtuSkAJKIF0CPBdxNUbKCiMCe9yubBkYRO8XjcGBofGXJ3eVwcsuONDcMXZp4p9q6YXfhZ9F2RSTn85qi7agfnX\/QkW3\/E+LHvFJ7D81X9vOx4vvv19YsC\/CZUiKNCIHg+CQ8QEf91iNFz+Kiy+\/W8kjr+T8J\/Gspd\/1BYf7LBu33hBUbpwvQgN7xH\/n0Ht+ttgRDgY69HhdMJfvwQNV70Gi1\/yPhEOJP5XfRpLX\/phzN\/5ZpRJHBcy7ikaVK3cgiV3fhANm18LDmMADFI\/xhhQ2KhccTUoJix7haQjIsXi2ymE3AanrwzGjA4D\/Zwl4BQ0CysADms4e1IPlIASyGsCKiTk9e3TzBcDgdLycvj8fni8XkRC0iqXZqFjEs4WEhIJOdJNCSgBJZABAb5HOLSBQxzGDF9wOZ1orqtFTWUFhodDiEb59kk\/LbcVhCc+YLdkpx\/LRCH1\/GQEjDF2yzx7GrjLasGu+97q+bBdZRPcZTVwuv1TMqAdbg\/cpTXwVonIVDUPnopGuGh8O5yQCDDexykt\/N7KRjA9GvfGiDU6jkdjHHC6fXZ+vFXNoPOU14HhjRk\/TGo0xuGEu6QK3up5Z\/LkgDEm1Yt9bIyBw+kWv5UjLCQtMnC4POP6h37OEvA4gYVVQKn37Ck9UAJKIM8JOPI8\/5p9JVDwBLw+H8ooJpSU2EJCuvMkUD5gm16w4IlpAZWAEpgVAlwGchwhwRiDqqoKNDfV2VMkDg4NZzS8wWWFwAkXHanLQM5KATURJaAEskWgUgQE9khwiD4jr4hsRavxKAElMIcEHHOYtiatBJTAFAg4HA5U19fDX1oqLXtRxDm52RTCjeeFIsLgeBf0nBJQAkpgugTYQ6q3F+AwB\/ZQSAlfUV6KhrpqlJT40T84dFZIQBofI3KEN9YHl0UpNI0INIgSUAJzTqChFGguA0RHgH6UgBIoDAIqJBTGfdRSFDABYwxq6urAngkJy0IsGk27tLaQIBV+S1zakWhAJaAEio3AxOXt6gKGzp8HweN2o7mhzh7eEAqFRWuIpi0m0PCgkOCJ9UMimTgvekUJKIGcJbC6DvC5JHv8QctONyWgBPKfgAoJ+X8PtQRFQKCythZOpxMOl8sWEhJpCgGcqkyq4tB2vSJ4aLSISgCzgIBCQnJ4Q8p7iT2pmhvrUVlZBuMwGA6FRAPgAKv08uROhOGN9MHEIxJB+vFIYN2UgBKYZQIOSW9dA+CQAyPHuikBJVAYBOQnXRgF0VIogUIm4PP7UVVTA5cICdFIJKMKea+A6kup8MtX3ZSAEsglAvmUl1gM6OgAxlm9oaqiHI21NfD7fAgGw8ikJ5QRJv5YN9zxQUB1BKGhmxLIHwLr6gEu\/SiaYv5kWnOqBJTABQmokHBBROpBCcwtAWMMHE4nGubNg8vtBoWEdCdchHwGxPWKkBATJ4e6KQElkCUCRRtNWxtEKRhVfGMMPG4Xli6ah7ISPyLRGKLReEYiqDfWJ0LCgKTDvlWqJggI3ZRAXhDYtgRwOvIiq5pJJaAEpkFAf9bTgKVelcBcEXA4HKhrbgaHN1BESHdoA\/PP6nefHHC+BNnppgSKnYCWP1MCgQDQ3w9wItgUgdLlcmLBvEb4\/T4k5F8slv78LsyiIxEFxQRjcXgDz6hTAkog1wnU+oGVNYD2Rsj1O6X5UwLTJ6BCwvSZaQglMOsEKCBU1daCQxwsqazH2Z04g1xQSBiSCn8mgkQGyWtQJZAFAhpFzhDg+6izE+A+JVMUQMtKS7BofhPcTic46SKF0BQv0zo0sOCNBuDkPAlURKcVWj0rASUwFwQ2NgEeJ2AM9KMElECBEVAhocBuqBancAn4fD7UNDTIH2MDDm\/IpKTsjdAvQkIsk0g0rBJIh4CGKTwClgV0dwORCCDvFdudKaXP68GSRc1wu90IR2OwrPQVACNxemKDcNnzJEiaSD8uiUo3JaAEZphAhQdYUw84zQwnpNErASUwJwRUSJgT7JqoEpg+AVbE65uaYKRlLzLOxGbTiTEqnvvFSbVf\/tdNCVyYgPpQApMSGBiAPbyBQkKKR7fLica6GlRWlCEWj9ku5fK0DmmLuBIheGP9MAmRQVVHmBY\/9awEZpvA0mqguQzSAAL9KAElUIAEVEgowJuqRSpMAk6XC9W1tfBIyx57JFhsBUyzqGzL65ewIan0ZzKTukShW24T0NwpgdkhMDQEBALAmPeScThQUVaKeU31SMiLJxjKbNUZZyICT2wADkuEhNkpmaaiBJRAGgR8TmBlLVDmhQoJ0I8SKEwCKiQU5n3VUhUgAY43Lq+sREV1NeLRaMbDGwaFkVT9IXV7OdIttwhobpRAnhGQdxJ6egDuU7LOXgQlfh+a6mvgdjkRDIWQiXjJ+LzxAJwWB2hpl4QU1HqoBHKKACdZXFEDuBw5lS3NjBJQAlkkoD\/vLMLUqJTATBEwxoAteyVlZaiqqbEr4qHh4YySY2h7noREAjrpYkYozwXWIyVQzAQ44aIIBakIjDHweNxosIc3lCMcjiASSb9XgpHIvdE+uON8g6mQIDh0UwI5SWBVHVBbAuhqDTl5ezRTSiArBBxZiUUjUQJKYMYJsEeCv7QUldXVcDocCAaDyHR4Q7fkOiqu2DctvxJQAlkgwB4Jg4MQZXJUZC6nC9VVFaitqZR3VkLeXeFR16f7xYUovNFeGHt4g4oJ0+Wn\/pXATBPwiHVxSQNQ4prplDR+JaAE5pKA\/NTnMnlNWwkogakSMMaAEy7ay0CKoMAJFzNdBrJTEh9mjwTZ5+GWV1mOxePoD4fRKwJQQFptI7GY2FvjG0HsIRK3LASjUfSLX\/pn2JB853lez7TwMYl\/SFqG+87EPyB5C0meJhOnmC7DDYpf5olhmccL5WlY8h2QctMv48g07xo+RwnIuwQtLecJCQ5pkiyXd9bI8AYXQuEI+Jyl+ywYKX5JtA1GJ1wUEropgdwjsKEZaCyDNHpA50eAfpRA4RJQIaFw762WrAAJOF0uVNTUoKy8HAkxBCkmZFJMrtrQKhHM7rRlkmCRbTS+n2tvx6ceegjv\/81v8NH778ce+T4eBhpXw2LgP3T8OL769NP4+AMP4EMS5pMPPoh\/e\/ZZPC2GGg1z+hsv\/IXOcXx69\/Awfn34MP7piSfw0fvus+Nn3r793HPY3dYGpj9e\/BQefnXoEP7hscfsMB+Tcnxj1y67LBRKxkubcX1L8s0y72ptRZzG5nge9VxhEJDnFiJIpRbGGIMSvxdNDXUoLfUjLM93JJrZW8cfDcAd4ywvidSk9FgJKIE5JlDiBtY3ApXeOc6IJq8ElMCME1AhYcYRawJKIHsEHE4nyioqUCligsPpBIWE8Qy+6aR4XDxz9YYLxiP+dJs+AXI93tuLrz3zDH4hxvsTp0\/jGTGoe0KhcSNjq\/2\/iIDwUREQ\/mvPHrzY1QX2FqCB\/83du\/FhMfzv2bfPPse4x41kkpM9IiJ86fHH8QkRJr7\/wgs4FgjYcT0p+aJw8amHH8YvJZ8UDcbG\/9979+KTIob8QsQE5ulkXx++I3n8vAgLT4rAQZEiNWl+\/9WRI2A4iilr6+vhEKMy1Y8eFxgBeSbsSRfHCEZejwd11ZWoqhQRFAlEo9GMCu5AHKURyqA6XWxGIDWwEsgygaWVQHOp9kbIMlaNTgnkJAEVEnLytmimlMD4BDhPQklZGernzYPP57OFhAsNbxg\/pnNn2abXJZV+rY6fY5KNIxrhNKTbBgfxXTHAD4ggcJEIQI2lUsOaIIFoPG4b5t8X\/36XC++48krc\/bKX4Wt33omvv\/SleOP69XaX8Lulhf8BafnlUASmgyl+wtJS\/G8S9pdi3Fd6vfj0jTfiv175Sjv+f5P4X71uHVolvzT8d7W1gUMWklEf6enBf4poUOJ245M33ICvSJ6+dPvteO3FF+OICCU\/OXjQHraRzA+7rrPXxT3796NCntX3bt+OStmrkJAkWsB7eb4g75TUEjqdDlSLiLCgqQEuh8uedJHPV\/J5SfU7lWMjnkpDLTA6T4KQ0E0J5AYBjxNYVgN510OHNEA\/SqDwCaiQUPj3WEuYnwQmzDUFhFpp2fWVlIDGWkxa9tKtjCcTaZGDmFT8M41HotEthQBb7e8Vo+oxae2\/euFC3LZqFcqkZTbFy6hDGutswXc6nbhu6VK85KKLUOn3wyXfm8rL8fK1a3HF\/PkIiiDwm6NH0SlGP8WKUZFM8oW9Du4\/dgxeie\/NmzZh2+LFcMsx459XWYlXiyhw3ZIlOCGtyg+fOIGeYFDswZGu48+0tCAoQselTU1Y39hoh6sSYeByEbWaRNyiYHKqv\/9s6u2SN\/ac4HwKf3H11aAfY2j+nfWiB4VK4NQpiFJw3lwJFRVlaGqotVdxCMt7Kx6LI5OPNz4AT7Qvkyg0rBJQAlkk0FAKLKwAvK4sRqpRKQElkLMEVEjI2VujGctPAjOfa6e0VHPCxRoRE5haJkupMTxdj\/w3KEKC7HTLEgEa+M93dOB\/pUV+cUUFfu\/SS9EsBvdEpjT97xH\/JwIBlEqrP4WEMq8Xqf7Zm+GqBQtAA\/5AdzeOi8E\/VfEnLiLAr0XU6BZxYFl1NTY0N8M5xrCvEdFio5xn\/JzP4Ghv71kaFC\/4xSd584j4wHwxvF++ux0OcOgCe1TQD49\/fPCgPYTjJSKebBLxwRiG4FV1BU9gaAjo6jqvmBzewGUga6oqwDleYhkKCQYxlEQ6gBGt67z09IQSUAKzR8Alr3iKCI0iJrjUupg98JqSEphDAvpTn0P4mnQOEcijrBhjUFFVhSYxKB004KRljz0TMilCSAJzBYepGqXiXbdJCJBj1\/CwPZmhEYGG3f8XSYu\/MVLTmiAchx0cE2EgKv45fGB1Xd158wkYY7BOBCQa\/IyfjgLEBFGOOk0BgcMWONnhAhE26ktKAIkPKR+3PE8UK+rk2on+fnRIGVgWelleUwOPXD8uQsdJuRYWYQxuhzsAABAASURBVGIgEgHFhr5wGDU+HxiOIsK9hw\/j54cOYV1DA25avhwUGxiHuiIhEIsBbW1i4IuFL89zstTGGNTVVKK5sQ6WBURiUSSfr6Sf6ewd4tkXEcFChzcICd2UwNwSKPcAq2qB6jN\/WuTnPrcZ0tSVgBKYcQL8OzzjiWgCSmCmCBRrvBzWYA9vkBZke2gDa+UZwJBqP9olPAUF2emWIQF28\/\/0Qw+hUwzxl65ejfVskRcjfLJow2J8dUlLLqWGhtJSeFyucb3XiZHvk2sUBKYjJHC5Rs6pwJc+exxwOAPTSk3EGIMSjwcUMqLyTHGpyogIBvSzUcpwtYhXh3t68OUnnsB3du\/GN599Fpyw0S1l27JwIRrKyrC3owP\/s28fKj0evEzKzvwaY8RwtOxeC5kYjsyHujwhwB4JweB5ma0oK0VDXTVc8gxHo\/GMhAQ+v574IDzxgIgW0I8SUAJzSGBxFUDndmKsRg39KAElUJgEWKcszJJpqXKZgOYtQwLsiVApLcQ10modEwOUYkKGUaJDIhiQ1kM19AREBlt\/KIR\/FyP70VOnsH3RIty6ciVKxaim0TNZtBQGOHzAGINy8T+RX7bu03DndfqXNl8eXtCxBwHnweCzQyFivACcCJHDFjhvAq9TeIiIoMA0\/JKnt1x+OTgh46m+PnzruefwkxdfRJWIWW\/atAk3LFsGLiv504MHwd4PL1+3DusaG8Hwvz16FF98\/HH8wyOPgCtPvCBiAyfaYxrqCpRAIADIczK2dG63C431teDqDaFwBNFYZmKCxxqCJ8J5EviUjk1NvysBJTAbBCo9wJp6oL4EuNDfOuhHCSiBgiGgQkLB3MrZKIimkUsEyisrUV1fP9LSK63GmQoAXIzttBQw03gkiqLdYnIfOA\/Bj8XA5tCBP7vqKtSWlMCYqVWt6Iv8JxuuwGtJk8kYhpgabvqko+9keB6nOp5n+nQ8T\/90PKZbKM\/c2668Et955Svxyze8AT9+3evw+Vtuwe2rVtk9KB45cQKc0JHzIlyzeDGGIxGwZ8YH7r0X39+3Dz8SkeGrTz+Nv\/jlL8GJGKMigiXTYvzqCojA4CDQ3w+IOJlaKgpZtdUVqK0uR1ieDwqhqdene+yABX+sB7CHN0w3tPpXAkogGwRW1AKXNADuGe6NwL8XnO8n6Tisk+foxisHz9Ml\/XM\/NgyvB4NBDMo7KyQNAfw+XlzFcI58kiy4RG+SBffJa0NDQ0i9NhtceM+S+UrOC8Y8TSVt+mPek45x8dxkYXk96Z\/7ZBienyxcNq\/xbyOfyeHhYTAP2Uqb9473kPEyDcZLl27eHekG1HB5RECzWnAEjDHwcEy6tPj6xVANyYs9LkZZpgU9JhGEx1T85ZRuUyTwQmenvdSjy+HAn1xxBTiHwGkxptiCzz2HInCoAP8osfWeqxxwz3kFGIY9EWjMcxjCRC92rgTBOJgl+mcvAh5fyHG4AnsysCcADfzx4uc59lxg\/BQQ2JOCvRN4zPiNMfa8DTyXdMw387+7rQ33Hj0KzouwbdEiuMTvLw4fxsMnT2Ln0qX49stfjp\/8v\/+Hu665Bj6nE\/934IA9GSOFEein8AjwPdLeDohYkFo4CgnlZaVoaqiD0+FAMBSxxVA+e6n+pnrMZ9Mf6YTTCk81iPpTAkogiwSqfcDqOqBS9vLaz2LM50fVLu+U\/\/mf\/8HXvvY12\/1SROmenh7RK\/mX83z\/NMCOyt+l\/\/qv\/7L933333Xj00Udt0SDpmwbVXXfdhZ07d4J7Gloo0s+hQ4fw7ne\/G9dffz1+\/vOfg3UVouD+RWkg+Yu\/+Au89rWvxU9\/+lPbuOW12XDHjx+3781LX\/pS8B72jdPbbaJ88Jn58Y9\/jH\/913+1n4Ef\/vCHo+7\/eOH4zPzgBz+w\/fNZ++1vfwsKGeP5nalzfE5vkYaaP\/qjP8KePXsmfManm\/59992HN77xjfjDP\/xDPPXUU7YoNN04Uv07Ur\/ocW4R0NwogckIuNxuu0dCdV0dhkVJT6q0k4W50DXOkXD0Qp70+oQEDkmFpmVgADTWv\/fCC\/j4Aw\/gY2fcJx58EP+9dy86RPQJxeP4gVznNc4xwOEQXJKRSyQycg4N6JOWER6PdYx\/UIwzGuO1fj9oSI31M953+qWYQIOtS1pfOGxhbNWLRj0nTqQAwpUjOKkjxYfx4kueYwWD5WY5GJ6TK3Iyx2ERtp4TcYHpvW79erA3Q5nHg6vmz8dWERrI4aDwonAxNh\/JuHWf5wREWBsrJLBEPq8XDfU1KC8rwcDgUMYVUk98AK7YgEStT5JA0E0JzBoBp\/wBWlQBLKuGiMwzn2xHRwcoJHz961+3DcMvf\/nL2Ldvn23w8m\/N2BzQ+HtQ\/vZ+5Stfsf3TCKWBxhbZsX71e2ESSAoJ3\/jGN+xn4J\/+6Z9w8OBB+5kZr8ThcBj3ibGdfGYoQPA7z4\/nv9jPqZCQ\/SdAY1QCs0KALXsVVVVomDcPNOBCYhyO94d0upnZJwG4coDsdJsmAbbMM8iQGNHPSsvJ062tSLpdYlQfDQRAEYH366go6s\/Ida56wHA02JdWV6PU5cJwNAouHTmeWcTzPXKvm0pLQTfVHgnlYrytkPgpWJyUtNtFfBKJm9k965gPnqeRz1Ua5pWXS+XQnL0+3gFFCQ7l2NfVhZ1LluAKEQo4zwLnfOgVMYRzOlRK2sYYGGPAngzzysrsiRcpWHB4w9h8jJeOnstDAiKa2ctAsndCSva9HjdqqypRX1uNUCgsQoKVcnX6hw5YKIu0TD+ghlACSiAjAmVu4KI6oK4E8n7HrH3c0pBSUlICGolsVQ3I39bxEmfL9f333y\/vmDjK5O\/OeH78IsjfddddtvH44Q9\/2J4Idjx\/xXzOGIOVK1fiM5\/5DP7zP\/8Tt956K1gHzScmxhhUVFSAzwp7KEzU8+TIkSN4+umn5W9TCHzGjDH5VMxZz6sKCWeR64ESyC8CfImXlpejrqEBnC+BvRLiYoBmKiZEBcNJTrA3pvIvp3W7AIFXXXwxHmR3sT\/+Yzw1xj3ypjfh72+8ETTm2TL\/d9dfjyff\/GZ8Us5xtQOn04n1jY1SKasDexz8TBTz1v5+2+DmPeX8CwfEWH\/oxAl7yMTF4nexCANOx7nXeFIIaB0YQEDEBn5nWMiHz8vNUhGYL39IKV48cPw4BkV5p1hBP4yfKzIwfq4gcaUIAourqqRyOP4fUYohHGbxsMTzxKlT4JwINy5bBk7kyLSYqyoREPoljRMiXNA\/0xmUZ\/RATw84JIIcKCxIIpJD3QqOgAhqOH0akPdJatn4fNRUVYwMb3A5MTAUFC8W+Hyk+pvqMZ\/Q0nAbEI9KED7RstNNCSiBGSXA3gjzyoEVNYDHhVl9jVdVVWHdunWoq6vDE088gZMnTyI53htnPmxB3rVrF9gtftWqVVi8eDH4d\/bM5VE79lzol7+33BvDN8q5y+x1FxJRnEMoKFy0tLSgVRoBOjs7QaFivN6gDMP0eZ29KOifjmEG5O8zr59L4dwRh2IERBShX+aH35l2d3e3nWabNEgwH+OlyVjon9eZR5aF6XDoRpfUHRgn88880YiezvvWGGO\/oxkXx+2TtTGjOTF9Ol5jGslyM8+9vb0gD+ZnsnTph2VlGLpkuMnCMM2pOJ\/Phw0bNmCeNL796le\/AocvkFdqWJbvmWeeAcUECidLly6Fx+NJ9XLeMePgPeW9JWPmm\/eA9+1C5U2GTbJiHOwtw\/PnJTTOCcbPdJge02X6jCv57GSD2zjJjjrlGPUtH79onpVAERPwiqFWI0JCQ1OT1KGj4B+XTHGwbZBtezpXQqYkpx++WYShV65dixr5g\/ekVFa+Iqr4Lw8fxqNSSfrRgQP4mnznPAyrampwy\/Ll4IoJqan0injwuUcewUfuuw\/37N+PscMjVtXW4uVr1qBCnpv\/fuEFfE3+YP5W1HfG\/7\/in9\/3tLfj8uZmbFmwADT0U+NPPebwjRelcvPTgwexpKoKL5N466XFx5iRykWptBitl+eSvRP+VdL5+aFDeETK8T9799rlaSgtxUoph9flwkiI1Nj1uCAIxOOAVLalaQeiEowqUkV5GWqrK1BeVopheW5ZIRrlYZpfPNYwfNHuaYZS70pACaRLwOcCVtcDjWWY9Xc4BQEKCRQIaDhRMKARiDMfGlA0ru655x67FXqDGJDVIryfuTxqR+OVrezvf\/\/7wbkUaAgnPbBOxbkBeP2zn\/0sPvKRj+CDH\/wgPvShD+HjH\/84Pv\/5z4Np0JhLDfOC\/H3993\/\/d\/s6\/dE\/ezt84hOfAIdj3HvvvfY4feYzGY57GqQ\/+tGP8Ld\/+7fg\/A8s13e+8x18+tOfBsPTMR\/\/+7\/\/CxqOY9+bNCC\/\/e1v4wMf+IA95OO5557Dv\/3bv4HpMg\/M\/xe+8AX84he\/APmMDc88jOfo77SIwoyL6bMXyFhjl35OSEPH97\/\/fbvcH\/vYx2xOTPNzn\/ucPSTl2LFjdu+QsWkwLI13MkuWleGY1v\/93\/\/hlDRWjE1vbBwX+m6MwTJp7Lj00kvteQE4RIb3N3kPuKcAQ2bGGFt0aJD6tTHj11CYZ4oeFCV4T3nPyPiuu+7C3\/\/934P3gXNOpD5PqXnkveKwm3\/+53+2nyXeWz4rHFLBHhHMW6r\/scd8bplXMmN65MX0yf1LX\/qSPcfFdO7x2Pin+n3OhISpZlD9KQElMDEBI63RtfKio5jgFIOMCjRfhhOHmNoVVse7puZVfWWRgNPhwA5pNfnIzp2oE0ObkxV+6qGH8IHf\/Aafe+wxPCh\/pNfW1+PdV1+NTWLss1UfKX\/kOEniATHu94rxdlpaPdgjITV79M8VFf70iivAIREUEz56\/\/14v8T\/j48\/jqdEvNggxv8fbNxo94wwZvw\/oIyTvSa+u2cPhqJRvHT1aiyXSpox5\/x75XnkfAlbFi7EC9Ia8skz5fiWhGHaL5MwTIvHjE9dgRIYHobUeM8rnMfNZSBr0FBTjYg8Q7GYiA7n+ZraCT51JmGhNHj6PMFiajGoLyWgBKZLoNILXD4PmOmVGibKF3sjXHnllSiVv5VsRaagQOOOdSAaneypcFiE+IXyN+iSSy4Bh0OMFxfD0ADmhHbcMzz9xWIxUBCgocdx8g\/J3zAaf1VVVXaaNDo5ISGFBBp1DEPHFmUaiDTwmAeKDAzD9A9IgwBFABqM3\/zmN0G\/yfQYlvlmvEyXBiqHEjAenuMQjNbWVvA8DVcKAjRkU8Mzz8ePH7cn5+MEgT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DSQKQBSQOXjTg0ho0xdg8FChg8x5UjaMxzWUoa9Azz4x\/\/GH\/7t39rzwUwWX6Yb06EyGX9mAeGZRwULNgNn8tI0qjcuXMnOEkh\/Y+Nj4Yq53FgDw0apsw7xQmGZ97Jh63VFF4Y3hgzNopR3yf6YowBhypwPonjx4\/j7\/7u7\/DDH\/4QnHeAeSYvnqdQwJ4bLBPLk6yfMv8chsI8cAgIw7JXB\/PLOBjm3nvvFaF5aKIspHWe6XEyxPe\/\/\/3gHAPveMc77NUTeN6YiVkYY+yJLm+66SZ7VQnm7d\/\/\/d\/B8rG8FH9+85vf4Fvf+hY4ySHLx5UVKFww7iqpn1O8oJhAIeHuu++2J6IkI94nDo3hHAfscWLM6HwYY8B5F5g2h2BwKA\/n4+CezydZkxufEz6z3\/ve98Bnjs9CWpCmEEiFhClAUi9KIF8I+EtK7OENFBOGh4YQYeU9w8yzKt4rcXSJi4nTTQkoASUwbQLRKOzhDZwnIcG3yrkYSkv8aKitRk11OXoD6QsJyRjd1jA8sUDyq+6VgBLIkMCGRmB1PeBwZBjRDAanoUbjmJMIlkhdiEZbJsmxxZ6GHiez47j+97znPfjABz5gOx5zcjsaaFxKkMspMn12W+eSfpyQkS3G3\/72t\/HhD3\/YDkODlQYiDUguFzhZ\/jjkgLP2s6X+a1\/7Gj74wQ\/ajvM0\/Ou\/\/qu9dOMrXvEKvOpVr7KN2fHieu1rX0vBAp\/73Ofwvve9z84Dy0FhhPl8zWteA+abXfqNMZmgAns1\/NEf\/RFe\/vKXgyLA5z\/\/eXuFCvJi3pPpLRu7qQAAEABJREFUMy8PP\/wwaCQnE2SPhje+8Y245ZZbbMObc0iQFcMyvzSE2QpPbmScDJfp3hhji9cccsBnhhw4j4Axk7MwxtjMOZzgda97HSjofPe73wXnKmCemffPfOYz4CoQHObxrne9C0mxBvLhvaXoxftDbhQiKL6QE8PzmHxuv\/12uxeMBBm1MTyfjT\/5kz8BV30gT4ZhugxPxxVCGN\/Xv\/51exgNeyWMiiSLX3L4lZDFUmpUSqBICBhjwNUbKqqr7T8gQwMDWemVMCz82qXyPywu3dZCiUI3JaAEipkAhzawV8IYBqwcNjXUoqm+FsFQBMFwGOm+Z1gFdMWD8EW6AWu0YDEmWf2qBJTAFAjUlQCXzwO47CN\/X1MIMmNeaFizGzpb\/aukZdeYqeWIPQRotLGLOcfx852TzKQxI+P0OUyBQxaS5zlWnpPZ0ShjiztbgmmwG2PsJSVf\/epXgy3oXMEhmRdjjL0kIA1jGnI01NmVnYY7u81zGcjk5HdML9XATKbLvcPhAFuc3\/nOd4It5ZyjgQYr42LrNns1MG+c9d+Y8RmQ0V\/91V\/hbW97m23I0khm+WjAfvzjHweFCJbRmHPhaaSy2zznd6CBz7wkXfIa42V5k+e5Z9ycC+Ktb30raLz+wR\/8AciaeWbPA056ee2119qCBrmwPGTJsNwzzXe\/+9349Kc\/DfqjYU8xiMMNaIizrBs3bgTzxTIzDMNOxfGZIUvmZ2x5JwvPvCefGe5T0zRmZHjDK1\/5SlA0+OM\/\/mNw3gc+VxSzOLTmYx\/7GCj8cOgJ+RgzwtkYY8+7wV4FnGuDzJg3PiNNTU2gOEGhioIUwy5dutQeNpLMqzHG\/k42fDY\/8pGPgPN38LmmH+aT5aWow2u8F8wTr9FROKEow98RhwTxXCZOhYRM6GlYJZCDBPylpVh18cX28Ab2Shg7xirdLHN4Q5cICTqFWboENZwSKHICg4Mjy0DG4xCl4CwMYwyaGupQU1UhAqgLQ4PDcjl9EcCJGEaGN1ACTZxNRw+UgBKYHgGX2D4X1wOLqgBnDlgM7IpOI5oGPI10GkLGmAsWioYgl25kV38apTRGjRkJR4OV19g9nUY7RQdGSKOQ4gFFBBqzn\/3sZ20j+Rvf+Ibdys\/hE+vXr7eNOmNG4oIENMbYKxKwNZot8UyTwy3YYkwjuaqqCuzKf\/fdd9u9BNgSLsHO24wZiYdGKVuZv\/rVr4JxURzgUIpk2Y05l3ZqJMYY0HBmyzaZsScDe1FQWGB3exquxpiz8zcwLA1QGqff\/OY37TzSAOZ57ml40sBlrwLmn3x4jc6YkXhotNNIpZDCVnL2pmDXe\/ZQoIDCe8beBRQljDEMajtjDMhh+\/btds8L8uJwA05suXnzZluUoKjC3iE0kClyGHMuvB3JBP\/RwCd7xkkRhvfbmAuHpfhBkYjcyIzGuDEj4YwxNjeWg8LK61\/\/enzqU58C\/bLXCQUEMqIgQnbGmFG5M8bYPRnIlGEpRvD+UkihQMXn7rLLLrOfN947Cg2OlO5AxhjwO4UlDk8hGzLms0khh3mhuEF2fNaZB5z58BzT+cQnPgGKW3zejRmdvzNep7TLgdfClPKpnpSAEpgGgZXr1qG2ocGujIc4ydk0wk7kNSQXTojrFzFBdropASWgBKZHgAICeyRQUBgTsrysBI31taiqLMdgMAgrg94ERuL2xAfhjfaKYCFfdFMCSiAtAo2lwIYm2HMj0NagSyuiHA+k2VMCSiA9AiokpMdNQymBnCbgKynByosvBveDfX1IWNnpR9AupeYKDlEVE4SEbkpACUybQCAABAJi4I\/uKcDWlRVLF6KqogyRcAzhSBTpDm9gntzxYXgjFBJi8nV0WnJCNyWgBC5AgAbChmZgQQVyojfCONnVU0pACcwxAb4n5jgLmrwSUALZJmCMwYKlS9E4bx44YVBwaCgrSVCOOCUx9YswYamYICR0UwJKYFoEBgaAXjHwOfliyjvEGIPFC5pRVloCl8shYkL68yQwPw4Ob4gPgPMlQHUEIlGnBKZFYE0dsLEJKPMC7FUtP9FphZ\/Ys16ZjADH5nOIAPeT+ZvoGruqM3xqd\/aJ\/Op5JZApARUSMiWo4ZVADhIwxqCyuhqLV6yAv6QE3Z2dsNitOAt57ZM42sSxV0ImLYYShW5KQAkUGwERIW0hIRg8r+Q+rwfLFs0Hx+4Oh8LIRKw0ErtbhAR3jCKqKgmCQzclMGUCzWXAjsVAU3lKED2ccQKVlZXgHA6cH+BlL3uZPdfCdBLlmHzO93D33XeDkxOqmDAdeuo3HQIqJKRDTcMogTwg4PF6MX\/JEtQ3N9ute0ODgxl1FU4WOSIHLeIGpDWRFX0VEwSGbkpACUyNgLw37GUg2UuKogK\/nwlpjMGqZYtQ4vchHImI+Mk+UGcuprFzWyG4RExAQoc3pIFPgxQIgekWo9QNbGwEllQDLgcgP0voZ3YIcAJDTvLHSQ85kR6\/G0NZdGrp0z9n\/uckfsnJGKcWUn0pgfQIyCsivYAaSgkogdwmYIxBXVMTmhcuRFlFBQb7+2Gx4p6FbHdLHOyVEJe9bkpACSiBaRHgBLDyPsI4vaQa6mtQV1Mp76oEIrHotKJN9cyqtyMRgUeEBIcl8WinhFQ8epz7BOYkhzQKllYBFzcBZZ45yYImqgSUQB4R4Dsjj7KrWVUCSmCqBIwx8Pp8WLZ6tb0UZCwaBVdwyEYPArYTHpaMDElrotbPBYRuSkAJTJ1AKAQEAkAkcl4Yn8eDxQua4HI5MTgYRCbvK2ciBm+0H864pKcTJZzHWk\/MBIH8jrPGD3CCxfkVsCdYlGpEfhdIc68ElMCMEnDMaOwauRJQAnNKgOPj6pua7IkXOQHP8NCQNAJmpx8BRx7vk9LFREyQnW5KQAkogakRYE+Evj6AgsKY9we75s5rrEOJ34\/hYAiZ9qJyW0Nwx+VtlaD8ObXsqa8iJKBFhscJrKsHLmkAvE7okAboRwkogQsRUCHhQoT0uhLIYwLGGJSUlWH1JZfYvRKi4TDoslWk4xJRyxhDQE7ppgSUgBKYnEAgAIiwiTHvD6fTgdrqKjTUViMSjSIYCouXxORxTXDVyHl3fFiEhAE5UiFBIBTcpgXKDgH+VlZUA9csAcq9UBEB+lECSmAqBFRImAol9aME8piA0+lEbWMjll50EYzDAfZKyKS7cCoKVu\/3y4nhLM29IFHppgSUQDEQ4DKQyXkSUsQEh7yjqiorUF9XDZe8uwYGh9MWEojRiRh8sQCcVki+8o0lO93mmoCmn2ME6kuALQthr9LgVMsgx+6OZkcJ5C4BfV3k7r3RnCmBrBHw+f1YtHw5aurq7HkSgsOZVc5TM9YnX46JIRAXJ4e6KQEloAQuTIDvi87OkeENY3yX+Lxoqq9FWVmJPbwhHo+nLSawpdUX7QV7Jug0CWNAT\/urBihEAn4n7OEMq2oB\/l6gHyWgBJTAFAmokDBFUOpNCeQzAafLhbrGRiwUMQHGoD8QQDwWy0qROOPCEYkpIIZBtno6SHS6KQElUOgEWluBYHBUKY0xcLtdaG6sQ1V5GSgihMLnT8o4KtAFvnjiA3BHB1C0y0BegI9eLl4CFA44seIV84EyL1g9gH6UgBJQAlMloELCVEmpPyWQxwQcDoe9BCR7JdTW1yMSCiEkFfhMJzJLIumXg0MqJAgF3ZSAEpgyAc6R0NMDUNSU90cyHIdjcQnIqqpyW1SgkJCJSOlEAiXRLjitsIgJyVRyf685VAIzTcDvArYuBBZWAlJNUCFhpoFr\/EqgwAiokFBgN1SLowQmIuD2eNDQ1ITFK1fC4\/PZcyWwtS+TCnpqWpx48bQYA5a41PN6rASUgBKYkMDp08CYZSCNMSgt8WPxgmb4\/V6EwxG7Z0Im7ypfpAuu2LBkg\/Mk0MnhzGwaqxLICwJOA2xsBi6bD7icgHyFfpSAElAC0yHgmI5n9asElEB+EyivqsLCZcvAXgkxqbyHQ6G0xx6PJcGBEnvkZJ8KCUJBNyWgBKZEoL0dGBYDn+8NujOBfF4PFjQ3wC+iZ9yyEInyDXPmYho7tzUMb6wfI8MbxotAzymB4iLApR7vuAj2so\/FVXItrRJQAtkioEJCtkhqPEogDwg4nE4sXLoUS1etgjEG4TPDGzJp6Ust9oB8OSjGQEScHOqmBJSAEpicgIiZ6O4GRCxI9cjhWLXVleAQB8AgxuEPGOczxVMGlggJ3XAk4oB2SJgiNfVWqATmlQG3rwQqvIBUBaAfJaAElEA6BFRISIeahlECeUrAGAN\/aSkWrViB5oULERwaQjQczlqvBKmiQ9oX0SpGgQ5xyNOHRLOtBGaBwNkk4vLWYK8E7lMESAoJ5aUlWLxgHlxOB0LhKOJx62yw6R44RD3wRQNwxjm5I5UEuunGov6VQP4TKPcANy4HFlYB8tPK\/wJpCZSAEpgzAiokzBl6TVgJzB2B+qYmLLnoInj9fvT39koFPf3l1caWYlhOnBQ3IEZBtno6SHS6KQElMPcEZiYH8g6yhzeMid3n86K5oQ5+2bNHQiaTwxqJ22UF4YkNAAkRJFRHECK6FRsBh\/wQti0ELm0CeFxs5dfyKgElkF0CKiRkl6fGpgTygoCvpMSeK2HBkiUY6O\/H0IBUrrOUc2lftHsltFBIyFKcGo0SUAKZEMjxsIODAMWEMdl0OhyoqapAfW01orEYwpEIMhEnKSR4o30w8m4ak5R+VQJFQeCKecCOJYDfBR3SAP0oASWQKQEVEjIlqOGVQB4S4PJqDc3NWLxiBWrq6xHo6UEkw0p6KoawfDkmrl2HOAgF3ZRAmgSKJRgnW6SQIO+L1CI7REioLC9FY0OtLSBkKiQ4kYA31guHPbwB+lECRUPASEmXVQG3rgSq\/bCXepRTuikBJaAEMiKgQkJG+DSwEshfAh6v1xYSFi1bJpUKBwYDASTGVOQzKV1AAh8Ux1UcMmlFlCh0UwJ5RUAzmwaBjg4gTAlydFif14PGuhqU+HwIhSMZD8PyxgJwJUKjE9FvSqDACTSWAtctBap9BV5QLZ4SUAKzSkCFhFnFrYkpgdwhYIyxeyMsX7sWdY2N9hAH9krIVg45BFlMA5xMJKDV9mxR1XhmkIBGPZcEKCREIqNyYIyBx+NBXU0VqqsrRGeI2MMbRnma5hePNQR3tF9CWeJ0UwKFT6DUDVw1H1hVq0s9Fv7d1hIqgdkl4Jjd5DQ1JaAEcomA0+XC6ksvxYIlS+CS4\/5AAJlMaDa2bDQLOPFil2UhLk57JowlpN8zJ6AxFAQB9kZoa4O8gEYVx+VyoqqyHPU11YhTlAyPzJOQ7ruElZ6yyPnpjEpUvyiBAiFgpBzr6oFN84AKH+CQH4Doc3JWNyWgBJRA5gTklZJ5JBqDElAC+UuA8yWs2bgRTQsWYLCvDyGOV85icdj2d1zis1dxkL1uSsAmoP8pgbEEjhwBRCxIPW2MQXmpH82NtUtvrp4AABAASURBVCjxehEKRRCLcUrXVF\/TOy6JtMNhUeZkv6nphVXfSiBfCDgNcFEdsGMxUF8KnVwR+lECSiDbBFRIyDZRjU8J5CEBTry48uKLUVZRgbZTpxCNRrNWClbVWyQ29kxg1V0OdctjApp1JTBjBNgjYWjoPDGhxO+3hzdUlJfaqzfE4rGMsuBOhOGPcOBVRtFoYCWQ0wTmlwPXLgGWVEOXeszpO6WZUwL5S0CFhPy9d5pzJZA1Aj6pqK9ctw5LL7oI0UgEPZ2d0jBICSA7SbDa\/7xE1WFZsMa0OMpp3WaegKagBHKfQDwOnDhxnpDA4Q211VVorB9ZvSESiYJDsNId3mCEREXwOCQSOdJNCRQegRofsGURsLoOcDmgvRGgHyWgBGaCgLxeZiJajVMJKIF8ImCMsSdepJiwcNkyDA8OYlAcK+vZKgdliRclsl6KCeLSNQIkiiLatKhKoMgIHBcDn4JCiuBojEFtTQWaG2rtuVy4ekOm7yZ\/tBOO+LDA5ZtJdropgQIhUO6BPbnixibA64KKCNCPElACM0XAMVMRa7xKQAnkFwGu2b58zRqsWLsWpWVlGOjtRSwazWrPhC5BclhcUFxBb1o4JaAE0iMQCAB9feeFLSspQV1tNcpLSxCNxcHJW5HBx4kYSqKdgOoIGVDUoLlGwCfCAQWErYuBCi9URIB+lIASmEkCKiTMJF2NWwnkGQGP14vLt29Hw7x5iMdiGBoYyKqQwAXXjgiTFmlt5AzscphTm2ZGCSiBOSbA1Rva28XAH23hU+hsaqhDQ12NCJwxZDqPixEFoTTEdOJS4NFpyQndlEDeEeDkilyh4c7VQF0JVESAfpSAEphpAiokzDRhjV8J5BEBYwz8paW49KqrUFlTg8H+fkSlYp\/NYQgUE14QJgERE7IUr8SmmxJQAgVBgMMaurogSsEoMcEYg4aaStTXVgEGiMWtjEROVn7c8QE445zcEfpRAnlNgCLCRbXAbSuBsjM9EeQnk9dl0swrASWQ+wT4tzT3c6k5VAJKYNYIsOVv\/pIlWL56NVxuN7o7O+3eCdnMgFTd8RSAPhETshmvxqUElECeE+A7gUMbBgfPK4jX60VTQy1KS\/wIhsKwrERGYoInPghvtP+8dPSEEsg3AgsqgJtWAI1loM4G\/SgBJaAEZoPAjAkJbGm0LAtxaV2g4\/fZKNBsp8FysXx0PJ7t9DW9wiLAZyj1d8PjuSghl4HkcpCN8+cjEg6jPxCQSjv7EgDIUoZ6JJ7dYjSE5D3BcstX3ZSAElACQL8Y93TyfkjF4XQ60FRXg+rKCgwNBxGT+kXq9ekeuxJheKIBIMF1ZaYbWv0rgdwgwN4IL1sDrKiBvUJDbuRKc6EElEAxEHBMpZDt7e149NFHcd9996GlpWVKBgXHL\/7nf\/4nbrnlFvzZn\/0ZgsHg2aRoNMRiMftcJBLJqEXhbKRzdPDUU0\/hzjvvxM6dO3H\/\/fdPKxddXV144IEH7HAnT56cVtgLeSbfUCgEOhqjZH6hMMV6nWzIiKzoKArNBAvGy99BMg2mOzadgYEBfOlLX8L111+P9773veDvaKyfdL9PNZwxBi6XC00iIqy59FJU19VhSFoHQ\/IbJqepxjMVf63i6aAYC1Fx4\/GQy7opASVQbASkXoAekRqlnpBadIfDgaqqStTXVSMWiyPTyWANEvBHe+CwoqnJ6LESyBsCJS7gTRuBVXWA2wnIn2\/oRwkoASUwWwQcU0no+eefx6c\/\/Wl86EMfAg3nqYSZzA+NoyeeeAIf\/OAH8b3vfQ\/Dw1yCabIQhXntxRdfxEc\/+lHcddddeOSRR7JayCeffBKf\/OQn8Y\/\/+I84depUXos1WQUzQWQUyz7zmc\/gi1\/8Ig4f5roCE3jM4PT+\/fvxvve9z07j6NGjU41pzvx5fD4sW73aXsWBXYoH+\/qk8h7L6rPEPg4kwckXdbqzObvVmrASyC0C7GkgQrsoqaPyZYxBaYkP8xrqUCLvp76BwYzfR95YL5xxNnToG2gUbP2S8wQqPMBLVgEbmgH2Ssj5DGsGlYASKDgCUxIS0ik1WzS3b9+OD3\/4w3jzm98Mj0feeGciYstjW1sbHnroIRw4cMA2Ts5c0l2WCJAvxZpnnnkGg9KanKVoCzYailnktWvXLvSzS23GJT0\/gt7eXvuZ5z2ZKA2\/34\/bbrvNFpje8IY32D0Dzo9pds6w9Y8TLq7duBHzlyyxhzgEh4bA3282czAoke0X16NDHISCbkpACchLBggEIH+8YB+nIPH7vOAykNXVFaCQEI9TjkzxMM1DdyICf6RbQqmQIBB0yxMCXiewdRFw5XzA4ciTTGs2lYASKDgCM\/b6oRGyaNEibNu2DRs2bJhTgwj6UQJTJTDH\/txuN1asWIEdO3bgkksugdMptYU5zBN\/x3WNjVh96aWorK2150rgEIdsiwk9UsanxHHyxWzHLdHqpgSUQL4RCIeBdi7PONrAt99J1ZVobqhFPGYhJP7SfWcYYWIQR0mkDWMFC7mkmxLISQJ8bq9oBnYuAUqljY7fczKjmikloAQKnsCMCQkcvsAeB3\/7t3+Lb3zjG+C4cP6xZw8Edrm\/5557wDHjbAH++Mc\/bnf5ZrdvuoMHD44Cz3kU9u7daw+DYPdzDgX4yEc+YncR\/8UvfoHTp0+D6Y0KJF84RwOHY\/z3f\/83Tpw4gQcffBBf\/epX8bGPfcwepvHss8+KLzZ6DOK5557D\/\/zP\/9hxcrjB+9\/\/fjBf9M+5ITo6OpDt8eF24hP8RwbsZs8eHRxacuTIETt\/ySEm5Prtb3\/b7tGRWnbm85vf\/Kbtt6+vD+yZ8E\/\/9E9geciWw0l+\/OMf2\/NTJJMm3+PHj+NnP\/uZPT6fbMnt7\/\/+7\/H973\/fToP3Kumfe95PtuDTDxkdOnQI5Pmtb30Ln\/jEJ+z0\/vd\/\/9dOh3lgWf7hH\/7B5ky\/jJdhWT4+DxziwiEFfEYYf9KxbHv27AHDcu4APgd0vLdkwfLwmD0KGDYWi9lDOX75y1\/in\/\/5n+17zTTo97\/+67\/AsJyngH6ZBv2Tzxe+8AX09PTYc4D867\/+66jn8Uc\/+hE4dwH9sycBh41897vftfNEVh\/4wAfsMv\/bv\/0bHnvsMWlIC4x6VjgXBvPyTbkvTLe1tRVf+9rXbEa8J4yDz\/GQtPazHLwPfAa\/853vgPeG6SYdn0Hmhax5neVi+fhMf+UrXwGf1e7u7lHpMyzvF4fP0B\/zzuEu7BnBPPM5ZxxkzHyQA8MkndvjwYIlS3DRxReDQkdAODFfLEvSTzb2\/RLJ\/kQCA9ozQUjopgSKnIAIBLaQIO\/0VCPfGIOamgrUVVfB7\/ehf3A4I1CcJ8EXC8AVZd+o0aJFRhFrYCUwAwR8TuCaxcDNK4FyH2BmrBYP\/SgBJaAELkhgxl5BNDKOi3FKw+bpp58+a9jQAKGhw+729BOWygINrVRH4zGZc\/qnsXPXXXfhy1\/+sm0ocXw5x5vTIKawQEejiHExzmRYigM0KH\/961\/bAgIN15\/\/\/OegIUvjnGnS7759+2yjkIbqb3\/7W3uMPCeV3L17N2h80tClIcw0U+Nn2JlyZMQJLpl\/Gnef+9zncPfdd+OFF17AsWPHcO+994KG49\/93d\/Z3eWThj73FBDIl0YnDeVAIACWNel4jeWgo1HKuChMfPaznwWZcu4GTv54\/\/3328ICRQWKMan3hXFTwKE48\/DDD4Oixqc+9SlQPKAIQsYUP5g+jWOWhfExfvKkUb17924wLZaP7HmPKT4xX0muTIfzF9AIZlpJAYLGMFkwHQoQTIf54xweZEIDm8IQhQPy4qSW5EUD\/Sc\/+clZYYtpccgBHdNK8kuy4p4GPv0xT4yfwgGFAJabcdMop7hAEYVGOa+RH+NjGOaN94QiRPJ76j3hvSYj+qdf8vvNb35jCzPJdLnn9c7OTrDsFAQo4JApy09BjsIC2bLsZMYwTI+O5WKe+Hw\/\/vjjtkDE3w1ZMDx\/Dz\/4wQ\/Ae8g4mKdkeLYAVlRXY9maNViyciXi0Sg4XwLjTPpBFj4xieO0uGPiQiomCAXdlEARExBRERxm1tt7Xm+BUr8f9bXVqK2uxPBwyG6UoPd0aLE115WIYKRXgpVOFBpGCcwKAZ8L2LwQuGE5UFcCsAJvZiVlTUQJKAElMD4BvofGvzJDZ9eIMULD9Hd\/93ftbtubNm2yW41p1CTdqlWr7NTZisqWXAoJPMHVH2iksfWYrcj0z6ETbJ1lqzSFCxpb9Jt0NMxoJNHg+6M\/+iPb+GZ4GpVbtmyxvVVVVeE1r3kN\/uVf\/sUWHHj985\/\/vC1c0ChlF3MasTRM2bpuB5ql\/2gcU0xYsGCBbeSx1ZgTKFJYWClGHQ3xn\/70p6CRyCw1NDSA5XzlK1+JyspKNDc3453vfCcoopAXDcXf+Z3fgc\/ns41pGpU06hn+pS99KVh2iiYsPxn93u\/9Hmi8fv3rXwcNfhqPAFM659jLhL0Tdu7cCYoRzBtZvulNb7LTSfpkS\/yvfvUrVItRymeAafE+0j+fAxrQH\/nIR+xeC8kwqftjx47ZLf6XXnqpPZEkw1Fc+tM\/\/VNpmfLbAgvPMZ6bb77ZFkH4\/DAd9jJ4y1veYvdcYRjml88K5\/J417vehb\/8y7+UVq4azJs3D29961tBVklHXmVlZXZWamtr7es04smHnBg\/02HvgsbGRvB+UbyiWEBDu76+Hu94xztAHoyEafzJn\/zJ2XtC8eHWW29FaWkpL0\/o2JOCQgAFAwpAr3jFK+weNBRhmB+mz\/zdd999eM973gOmj3E+vOcUdm6\/\/Xb7fvGZIhP+vowxds8dPuup95pDLObJM7ji4otR29SE4cFBJIc4sIzjJJPWqbCEOiaOgoJW6QWEbkqgmAkMDcHulTCGAcXNhfMaUVtTac+xFAzxzZEY42vqX00iipJwB2DFJVD68Uhg3ZTAjBDwSm39siaAvRFq\/QDnRZA\/1zOSlkaqBJSAEpgqAXk1TdVr5v6MMfZcCeXl5bbhZ4yxJ2Hk94qKCiQdjTsaJ2zlZYupX1ofaIjdcccdtmFcJYZ\/TU2NPYacEzlSEGDvA7ZQswfD2JzSL4UCLkVJo47huS8pEUlXPNMgp+HJPfNAo4npMx\/Lly\/HTTfdBBpobN1mK3uqgYUZ\/hhjcPnll+N1r3sdLrroItsIZ\/4pbrDszAsNbLaK85h5Z7nIjJUtfqcRzHJVnGFMEYHZ5jAIGqbsyv7a174Wf\/iHf2inQV4UIebPn4\/Xv\/71oMFKw5Wt5GzpZthUR1bkR39Lly6180ixgPkkw6RfGu7MNw16lolMmdaGDRvwtre9DWQdCATsISzsNZEMl9wzna1bt+LVr3712XwyHTr6oSjB\/L3kJS8B2aTyahLj98477wQduVDooGFujAH50PE8edGgH8uL15gGRYyXvexlWLJkiR3OGAPmi6sabNy40X5W2P2fzyN7M7DMyTh5X4wNhrtzAAAQAElEQVQxtoA2WRoY58M02Evghz\/8IYwxoBDH+7Vs2TKQc11dHa677jr8wR\/8ASgm8Vm95557zvYESo2SeSUjlmPx4sV2eAogZLN582a7Ys7eOOylwXSTYV0eD1aIELhm\/XqUlJWhX1oKKdQlr2drzw7GBySy05aFWLrNjBJeNyWgBPKcQFgEgu5ugPsx74LmxjpUS13C43GDQkLqu2q6pXYgAbc1BHd8YLpB1b8SmHECbgewvhG4dinQIG0aRr7PeKKagBJQAkpgCgRy9nXEYQrsRs7u4DTyaCSzJZXdyVMdW8NpqPE6j9mLIbXcvLZUjNt169bZ47tTryWPWQGhMc2WfbbGsxfCXXfdZc+jwBZytgDzOo1pGofjiRXJuLK9p1F6xRVXgMJH0phlGjymEcjzNIhpgJMBr03FsczsXcHeGjSaGYY9O1LZ8pgt9xQVaBCzRwEd\/aY6CgKXXXaZbZAaY1IvjTpmPCwL74cx5\/wZY2wR4corr7T9U6yhMGJ\/SfmP4Tds2AAavcacC08v7I3C+QloJHOFEM6rwPynuuTwFzKl+MJeGAw7HUdufAY4hIO9ETgkJPVZ4dANiiA0+mmIk9t04p\/IL+PhPB8chsDeKRTPKBal+me5yJfiAs\/z3jEvPE51q1evBu\/X2PAUmPg7oV+GY\/55nOr8Ir6tEiFhuQgKzFOgqwvcp\/rJxnGfREIxoUuMh7g4cpdTuikBJVBMBOS3jwEx7vv4RhhdcAoIixc1o6KsFINDwYzfQy4rBG80AFGGJSHtlSAQdMsBAlyd4Yp5wG2rgHkVsJd5NDmQL82CElACSoAEclZIGBoasrvU00hh13pO4EeDbazjebaqc4w5jbexLaQ0uGmAsteDMee\/fml805jmmHN2\/2eLL+dMYMt2IBAAx7bTqKI\/OgoV3BPeBVxWLjP\/bLWncZwaoTEjvTvYsk0ji0MgUq9P5ZjlIlsa7XfffTfGsk1+52SZTIOM6cbGTTGDreIUbcZeS\/3Oe8CeAeP54zn2CKF\/5isQCPBwlCMHihb0O+qCfKGBzfvC+8U5BDgXQjL\/yT1FIc55weeEfrmXoFPeGIa9ZDgEgCIChzBwjgYyZH6ZNvnwmaUQRkduU05gEo9Mm0ICvZA1e2EYc\/7zTFGIQyeMMVL\/HgDzxTCpjmEZhzHnh6doZ4yxxxyP90wZY1BdW2uv4rBo2TL09fZiIBCQunf2K97SDolDYkjYKzmkFkCPlYASKB4CUheQP8QQpQDyojlbbmNEgF68AOXlpQhHIojF4mevpXPgTEThjfXBWJF0gmsYJZB1AhQRLm0cmROhuRxwSo1dHvusp6MRKgEloATSJSCvpXSDzmw4GmN0TIXj\/H\/\/938fvz+B45j2d73rXfb6+zSsGSbpjBkxuMczPumHxiQnmWNvBy5X+eEPf9geW88x9ZybgRPo0QBlKy79z4Vj3h0cEDdO4saYcc5O7RT50kDlEAbOjzARX3ah\/\/M\/\/3N76AN7E4yNnSIH8zj2\/NjvxhhM5i95jfmiw5gPW9zpxpy2vyZ7idBA5lCUicrC+SM4ZwSflyVLlthhp\/ofBRcOieC8FOulVZ5iBYdT8Fm5W4SYb37zm\/irv\/orsKfIVOOcjj\/eK\/onJ2Mmvu\/JZ4UiBh3DpDpep0s9lzw2ZuJ4k344XGXB4sW4SBg0L1qEro4OBKWyP15ayTDp7C0JxLkSDouYELQsWLKXU7opASVQTAQ4rCEQGBneMKbctTVVaKqvsc+GItFUncE+N9X\/+NZzJGLwxAbgigdFsJhqSPWnBGaGgEseytV1IyJCUxkwhT\/N0I8SUAJKYLYJzLmQQOODbmzBOZ6cras8T8OFY8I5T8CE7nWvw86dO8FwDDNVx3kCODkfW185aR\/joGFNQYLp0qDl8AoKDlONM9f8jceXeWTX9mRvje3bt+P\/\/b\/\/Z8\/FMBFjig3sVs+w6Ti21pPjePnhORrqjJfs2XuBx1N1yXxR1OA4f875MFE5eJ5lTYYZmwbzMvYcv\/M54WoeNMI5ceLVV18N9rAgRxr39MPeCRwGw+OJ3ETxT+Sf55kmexrweWTPB\/bYGS8e9phhHhiG+Ur+hvg9m87t9eKiSy7BqnXrUFVdja62NkSkwj9enjJJl22MRyQCDnMIi5CQ7fglat2UgBLIZQLRKOweCaHQebl0OZ1YsmgeSvw+9A0MiJCQOM\/PVE8YzpMQH4IrNixCAmXMqYZUf0oguwScIiKsqgNuXwnMrwAcJrvxa2xKQAkogWwRmDMhgS3LNIrYyjqecUBBYO3atfakjDT2ufxfLBabsNyMh268uCYMJBcYhiICw9XU1Ijqe+6NzXPsGs6J85LGmQTJi40iCI3PJOOxmTbG2PMucIUMdpnn\/AgTGafkkIyH+7FxTfU7x9xz7gLOMcA4k+F4zHvMMf08xx4oFHN4PFXHiRU5NwDvF8tCY3uysMl7nvRjzEjPFZaPz0TyfOqevR6SzyANdPJNXmc4zjnBZRgpliTPp+55T\/idfidKg9fHcxQq2IOCwgXnqeAzmcxL0j\/j5ISjnP+BTLlCCvOZvJ7NvTHGnnBx09atWLZ6Nciit7MTVpymfzZTAhjjQYnyoAgJKiYICN2UQDERkN89BgdhO2u0ge90OtDcWI+qinIMDA7bQ7LSRcO\/\/G4rBE+8T6LgW0d2uimBWSZAEWGNiAivWAssqgJcDki9FPpRAkpACeQkAXlFpZWvjAI5HA57hQYaVmy9pRsboTEG1157LTh5HA1cLm\/HVQPYqp3ql8YUDSeOV6dBTCMt9fqFjjkmnDPeM0933303aOQyDA0x9kTgcoVcOYItvTyfL45d\/DnxICeIpJFOIzM178YYe6nDa665BvT3\/e9\/H5xUkkbqWL+8Pw8++CA4F0UmHBjvQw89hG9\/+9vgHBS8V+RMkeY\/\/uM\/QCPYKS1MXJaQ4\/hT83uhY5\/PBw5ZYI8ETprJsrCHA9NIhmX6NPLvv\/9+\/OxnPwO\/J6\/xWWSavOfsdcB8Ja8l95zkkYY54+SKCBRGeI3fKSJwyUSWj995fqyjQMJ4eU9Y5on8jQ3H78YYe+UQro4RCATA+5X6e2C87DFBtvwdUBR7xSteYRv4DD9TrryyEpdt24aFK1ZgeGgIgZ6ejFoFJ8onq\/XslXBMjApOvjiRPz2vBJRAARIYHgb6+4ExQoIxBjVV5Vgwr0EuJTAcDMr7J\/3yOxIReDhPQoJvnPTj0ZBKIF0CFBF+V0SEeeVQAQH6UQJKIMcInJedaQkJNCI5ZwCHAPzJn\/wJxnOcxX681tLUlGm006jiUnpcpu7DH\/6wvUICJ07kiglHjx61vbPb\/d\/8zd+AXeppzH7qU5\/CH\/\/xH+Ov\/\/qvbf8cj84x729\/+9vxta99DTQAp2OcMRG2fHNMPY3Ee++91y4T433\/+9+Pd7zjHbbBxpZuLk1I\/\/niOPs+Jy+k0fqlL30JZEy2n\/70p0FxhBMBcggBh3Kwqz+PaXxzIsG\/+Iu\/sP2\/733vA+efIGPeG\/YYmC7fVF5kzCUSubrCX\/7lX+K9730v3vOe94Bp3nPPPWAeeExxwxi2D6WGnvzYGGOvRPCud73L7mnBCRd5\/xjfBz\/4QXzgAx+w7yefH85twEkTU8vCZ42iFSd65NwYfMb4LJMZeVHMIlMa8hQtuGoD4+fzyXLwmeEKEVwNgc\/LeLnls0ZxjALEV77yFfAZI9fPfvazuO+++8A0xguXPMfhHrfddps9FwiFCE4OyvLxPnEOC+aF94i9M\/hb4ZwfxkyPYzKtqe6NMahvbsbGzZvRvGgRerq60CdCB9lS3JhqPFPxFxVP+8SdEjGB8cuhbkpACRQDAREIIO8VRCKA\/P6TRTbGoKKsDE11tfbwht4+Dm8Y3WsB0\/g4YMEXHxQxYVBCJcTppgRmh4CRZC5rAl65Dmgsg4oI0I8SUALZIzBzMU1JSOAwA44np2HCrNCIYSv3eI4GP41UY+QPfEUFFi5cCHbHNoavSdgfCgmMi5P43XrrrfBJa\/KBAwfA5fmefvppaXiQlgfbJ2yjkEYajTX6pcF3+vRp0D9bgWlcbZMW0Te+8Y1YIa2ibNE+E9QOy4nvkj0OkudT90ybQgINMRqJHFfOFl22zLMr+e\/\/\/u\/j9a9\/PdhNnAyYnjHnysLwPM90GDY17gsdMyz50DHeVP+8Nm\/ePEwWL8tKP0yfPStSw7NF+s1vfrM97wENWIozZEvGXPaQrfG8D1xxgS3XNGo5rwDLTEOXK1ewpwcNNk4syDkF7rzzTvteMR1jDJgm0+b9ZU8Anp\/M8TkiaxrgHLbC3gFctpHnyZ55YDqpcRlj7HkvWE6KT+QyXhrGGLtnBeOhaMD7RiGFxjknR+SqDuy9wvvINF71qleBvRAYlzEjZeHzxXCcUJLPGIcpkBl5cSgE037DG95gT6jIOSWMMWD+WY6LL77YFl0oejE88zv2eeD94nNG4YbcGJb3g+kwPd4TYwyqqqrs301DQwOzZztjjD1RJe8P7ysFhK1bt0ornAUul8meNHz+\/+AP\/sAWgSjSGXPuOTXGgM8YnzX+HpgXjPPhPWUaZJ16H8bxevYUOS696CJcctllaGhqQl9Pj907IdtCAhMMyn+7xbWKMaGTLwoI3ZRAMRCQ3zvkvYKBgfNK6\/N60NBQi7qaKgwODSMai6VqDef5n+wE35ju2KAICYFRgsVkYfSaEsiUAFdn2LbwnIjgdGQao4ZXAkqgIAjkQSGm9LpiK+vHP\/5xu9WfLf+TObZ804ih0XXjjTfic5\/7HN4lrcT8nuRhjLGNPsb77ne\/2\/bD2fCT8dLITPrlnl3v2UpNA\/STn\/wkOFM+\/X\/xi18EW3RpnN1xxx1SmWgY1ZWbrc9f\/vKXQeOKRhTjGs\/RkN25c6fdOs44GTeX92Nr+S233AKWh2mwBfi6666z521IxrN69WqwlZ\/h2NqePD+V\/SWXXIJ\/+Id\/wD\/+4z+C8aaGYev3hz70IXsFCfpLvZY8psF511132env2LEDnHcieY17toyzNwGZ\/fM\/\/7N9\/7h\/zWteM6oMvDcsI4Wdj3zkI3Z+2GJOdp\/5zGdADhRTaCzTaGTcDMM02WLP1nsKQzx\/IUfjmpMUJu8780MG7KFAw3hseJbp8ssvB3sRsGcBW9vH+kl+N8aAxi\/FAgpLfBZ5H3k\/mQ7Lwtb73\/u93wPL4nA4kkFtI51lYDn5TLHsyeeRvDikgZ75rPBZ473hPWe8fMb5fFDQ4jNNQYT5JVPmn+GSjgb6W97yFqTeE8bz8pe\/3BZm2CuDwg7PsTcIy5MMyz3zTIHhJS95iX1fyI7lY68TpslyU8gwhlVihhhx5M5n7Atf+AL4TFBoGrky+v8tW7aA955iDOMZfXXibx6vF+tESFizaZPds6SvuxvhUEgq9Nlv1RuSbDwhrsXSlRwEg25KoDgIBAIjwxsoKqSU2BiD+Y31IiRUyFmD4eGg7NN\/8g8jfgAAEABJREFU77gSQXijfYDFPlDpxyOZ0E0JXJBAqRu4cRnwO2uASh+0JwL0owTyn0AxleCcJTVJqWnMsCcAx5BfyNHgon9jjN16TWOXRrwxow0bY4xt9NMgZZjUeMcaX8aM+KWgwLgYJ\/1zz+88zxZWY0anwdZV+qNxRgMMk3x4ncZWspzc02hkvDSemQ7TY37pNxkV80q\/TIflTp6fyp5hGScd400Nw2tJLjxOvZY8Zj7oh+mTgTGjy2+MsQ3rZN6ZRzqWi2GT8XBvjLGFCLJifPTHfDF+ciEH+ks6Y4wtBtEv4yej5LXJ9saY8+4742D5mSdjxi8D\/TAvE7FAyscYY\/c2GK8sLDvzaszodBjcGGPz4nPDspMBHcMwb\/RDx2OeS\/phvpL5Z\/74nfnl82DMuXSMMVJJGEmDzJLhmQYZM166ZNzMhzGGSY5yxhhb+GAYpsN46Fhepm+MsdNByseYc79H+ht7P5Ne+RwxPyzDRJySflP3xhh78kUOcVh58cV2\/tgzgb1AZrRnwhkxYSbSSC2fHisBJTDHBESYtHslhMPAGDGhrrYSVZUVKCv1Y2h4RMAc42XKmXeIT2+sD574wHnpyCXdlECWCCRQ4UngxuXAziVAqQdSN8pS1BqNElAC6RDQMGkQ4N\/MNIJpECWgBJTAaALGGJSVl2P9lVdiycqViEWj4EoOMyUm9Evye8W1nRET5FA3JaAECplARwfGG95AAXXZovkoLy9FOBxBJMoVntLvTWALCdGACgmF\/CzNadkSqPUDNy0Hti0CyrwQ8R\/6UQJKIC0CGmguCaiQMJf0NW0lUGAEHE4n6pqacMkVV2D+4sUIB4Po7+0dtUJGtopMM6FbInteXJs0P+qcCQJCNyVQyATkXQKu3sBlZuU3nyyqkYMlC5tR6veB7wUu1Sun0t6ciTC8sQE4ElGJgzHKTjclkBUCCSwoT+DOi4CtFBE8UBEB+ilKAlrogiCgQkJB3MbcLgTnBfjYxz4GzqewYcOG3M6s5i4jAsYYe3jIwuXLcfGVV6Kmvh7BoSEMDwzAksp\/tocgsIrfJTneIy7ZMyHbaUjUuikBJZALBLhqQ7fIh9yPyU9NZQWa6+vgdrvsXgmcKHiMlyl\/dYgc4Yn1wRUfhhxOOZx6VAITE0jAwMKiigRuWwlsaAb8HgP5kzlxEL2iBHKQgGZJCaQScKR+0WMlkG0Cxhh7YsflYlhyVQHODZDtNDS+3CJgjIHP78eKNWtw6ebNqKiqwqAICcFgEDNl5PcKAi4N2W5ZiEtL5UylI8nopgSUwFwRkN+2PU+CvEvkZSJGfsLOiTEj8+KsWLYQPp8HwVDEXtHGvpjmf57YIFyxIUmDy0mOpJNmVBqs6Akk4DQJLK0Cbl0BXNzogNdpYIqeiwKYRQKalBKYEQIqJMwIVo1UCSiBktJSrLr4YqzduBEUFnq7ujBTKzmwmt8pyPeL6xFjg9\/lUDcloAQKjYCIkhgcBOLxUSVzOh1Y0NyAcnnvxK04YmOuj\/J8gS808FyJMDyxARh7eMMFAuhlJTAJAZfUtNfUJfDSi0ZEBI8TEO0L+lECFyagPpRAbhOQ11tuZ1BzpwSUQH4SMMbYvREoJKxevx6snHe1tYHjl2eix4AlmFrF7RbXTTFBnBzqpgSUQCERYG+Evj7A4i\/+XMGMMSIilGB+c719kr0SMnnPOBIRuOP9cFgx6PAGG6n+N10C8jfIBQuX1EbxstXAqjoDtxOQRxX6KXACWjwlUCQEVEgokhutxVQCc0HA4XSipqEBazdtsnsmOOU7V3KIRjLvejxRedgz4VmpwHHOhJgYG5kYExOloeeVgBKYIwJc\/pGTLso7ZGwOfD4v5jc1wO12Y3g4KFrDaLFhrP\/JvjtFPfDFB+CyhsRb+vFIYN2KkUDCgtdEcFlDEC8VEWF+pQMOh1ERIcefBc2eElAC0yOgQsL0eKlvJaAEpknA4XCgcf58XHrVVVixdi046WKguzujSv7\/Z+893+O4sjTP96aH956g9yRIAiRBgAagBUHQy6tM18z2zvTTzzwzf9Z+2289vbtTVV1TpZJESSWpJJW86OBNIpEG6d2eExQkgKRIeGQmXugeRWbEjWt+EZGM8173siLoBIy6msOECAqcM+FltHicBPKMgAoJ2jNBnu\/5JXc6HKirqUJlWSniiSSSyTSeijI\/+ks\/O1MiJFjzJHCw1EthMcLPBEREKMrM4mxjCDcP2NFY4RQBwfx8nJ9IgARIoEAIUEgokAvJapBALhPQnghNW7ei4+xZbN29G5HZWeicCWtVZn3t154Jn0oGOmeCbBhIgAQKhYAKCfIbMl8lMMbAbrehprIcdbVVyIgzF1GxAfprgGX9ObIxaxlIk03J+ctPR05m2CwERLkqTnoxsC2EG23lqC1zU0TYLNee9SSBTUiAQsImvOisMgksjcDqxLbb7WjZuhXtXV1oFTFhenzcEhPSaW01XJuX9KAU\/S9iHOYgEBhIoFAIJJOA1wukxMEXx22uWjabDWWlJVavBKfDibAICboM5Lwoc1EXtdUXpCJxCu3pGFagRywqL0bKcwJyk5l0AtWZCdzZNYvzh+pQ7HFRRMjzy8rikwAJvJiA\/jv54hg8SgIkkJ8EcrDUdofD6pHQ0d2N7Xv3wu\/zWbaWYkJCOHwkNigveuJ2yCcGEiCBvCcwMgKooDCvIsYYuN0uNDfUoLysBIlEComkPvXLFyo9KR8c6YjkommoyUcGEphPQP5tsadmsdU2glu7E+jc1wydp2N+FH4mARIggUIkYCvESrFOJJDPBAq97C63G7sPHUL3pUuob2pCKBBAULsqr2HFZyVtXc3hUSaDjLz0yVcGEiCBfCYwPQ3oUpBP1cHldKCuthoVZaXWkfhzJmW0Dizyf45sEsXJaS4DuUhemy5aNgNnYgb7HIO42+ZB+54mS8wyxmw6FKwwCZDA5iNAIWHzXXPWeG0IMNVFEjDGyIuWGweOHcNpERNqGxqgky+qoPCkG\/LatPpFpXwfi30nYgJXcxAQDCSQzwTkOcbw8DO9EnQIlYoIzQ21UFEhFosjnc5guau3qDtYFB+HLZXg8IZ8vl9Wuex6P2XTKbji0zjoeozrx6qwZ2s9PG4ndIjNKmfH5EiABEggJwnYcrJULBQJrBsBZrSRBHYdPIiT586hsbUVM5OTCMzMyEv\/2s2ZkJHKfq6WzSIkxt4JAoOBBPKVwOPHT+ZJeKr8pcVFaGmuF8HSBV25IZVOPxVjaV89KT+caV0GMisnqsmGYdMSUBHBpGIoiw+hvWQYl9vq0dpYB7uNr9Sb9qZgxUlgkxLgr94mvfB5X21WoCAI6DCHvW1tOH72LKobGxEOBBDy+5FZ4Yv\/i+Ck5OB9sS9FSAiI6UuhfGUgARLINwI6tEF+LyDP8fyi6zwJDTq8obwUWfkvpZMyzo+wxM82pOBJeoGsCBLUEZZIr7CiZzMZ2OIBVIa\/RWfVNC4fbcaOLfVW7xdjtP9KYdWXtSEBEiCBFxGgkPAiOjy26gSYIAnMJ2CMQXFJCQ62t6PrwgWUVlRAhziEw2HxDbLzo67q56Sk9lDsM3FAQvJiSDFBYDCQQL4RUIFgdFQc\/IW\/FcYYVJaXoaWhDvoXjydX9HtiRIwoSnhhMiIkaIK0TUnA+nciPoNy\/6foqgvh0old2NJUB4fDwdUZNuUdwUqTAAlQSOA9sBgCjEMCa0LAGGO9gLndbuw5dAgne3tRXV+PoM+HoLQ0psVRsF7e1iR3QFwQfChpj4mYkBRby7wkGwYSIIHVJCBCIKamAJ1QUT\/\/mLYxxlq1oalRnTw7UukUdP6VHw8veaMvSq7MLFyp2WdEiyUnxhPyi4DcV9lsBpn4LIz3KzTMfIBz2x3o6jiAqopyaz4EY0x+1YmlJQESIIFVIqD\/Pq5SUkwm9wiwRCSQPwQ8RUXQYQ7HTp1CVW0tdCUH7Z2wlktDKh2v\/O8LsRF5YUyKZcXkKwMJkEA+EAgEALWnyupyOlFXU4XKslIkkkmkUjr3ylORlvDVkY7ClZxZwhmMWggE9N+DTGQG9rGP0BL7Guf216C7o826tzipYiFcYdaBBEhgJQQoJKyE3lqdy3RJYBMSMMagvKIChzo6cETEhIqqKgT8foRDIas1UV\/o1gJLRhKdFvu72JCICCmxtcpLsmAgARJYTQLy+4AZcfDluZ2frDEG1ZXlqK+ttiZcjIuYACwcAjE\/\/ss+O5CEJ+2XJHSWlZfF5vGCICD3VCYm1\/y7f8Mu5xiudu9Hb1cHaqorrIkVjWFPhIK4zqwECZDAsglQSFg2umdP5B4SIIHlEzDGWMMcSsrK0Hb8uDXMoa6xETr54mwwuKZigpY6Iv\/T5SF1EkadN0G7QlNQECgMJJDLBMTZw+QkRC1YUEqbzaCspEiEhCrY5bclEU\/8+BuyINqivxiJWZSchj0Tl08MBU0gm0E2FkR6+GM4\/\/F\/4cSOUlzt7cSxQ3vhdjutf6eM0TuioCmwciRAAiTwUgK2l8Yo\/AisIQmQQI4RKC4txb4jR6zVHOpbWhCYnoZfbK2HOWhb4\/fCQoc6+MRBoZAgMBhIINcJTEwA8YUOvjFGnD4XGupqUFZWinAsjmQqLTXJii0vuFIBOFO6DOTyzudZeUBARISMfxiZh39Clf9j9BzfKyJCN\/bv2gYdLpMHNWARSYAESGDdCNjWLadVz4gJkgAJFDKBEhETDhw9ivbubjRv22bNmeD3+bDWPQV0RYchAauTMM5QTBASDCSQ4wR0jgQ1eV7nl9TtclnDG2qqy0VnECEhmZh\/eMmf7UijOCGiBXRA1JJP5wm5TEDvnXQK2bFPkfn+f6LRTODS6SO4eeUstm1phNPJlRly+fKxbCRAAhtDYP2FhI2pJ3MlARLIMwLGGOgEjAfb2y0xYevu3dYwB7\/Xa4kJa1kddRP8ksF\/iD3OZJAQY+8EgcFAArlIQJ5PDA4C6gzOK59OhldRXoqm+jrYbHbEYnGk0xmJtrxeCdqZvSwmMqPmB\/4VBAG9ZzIpIOpF+v4fkH30Z+xtKEZ\/byd6OttRWlIs947NGs5QEPVlJUiABEhgFQnYFpsW45EACZDARhBwOp3Yf+wYOnt7sWPvXmvyRe\/4OJLW5GlrWyLtnaDzJnwlL5thMYoJa8ubqZPAsgmMjEB+FJ45vay0BHU1lSgtLkIk9mSehGciLWGHOxOEM+mXM5YnRsiJDLlCQH7TbekI7NPfAD\/8L5TOfo\/jB7ah\/0I3Og7vg8fjypWSshwkQAIksCEEXpYphYSXEeJxEiCBDSegYsKu\/ftx6sIFbN+3D\/FoFBPDw0jE48tuXVxspXTk9XcS+RN56QxKSyTFBIHBQAK5RiAcBnSuBHlG5xetyOO2Ztmvra5EMplCMpWU3wxYNj\/eYj\/rS5PVKyGr\/ZYWexbj5RQB+S1HJg1XfBKu4XeQ+uEPKM9M49TRvRi4dAYH9u5AUZGHvaAz3wIAABAASURBVBBy6qKxMCRAAksgsG5R9d\/EdcuMGZEACZDAcgk4nE7sFBHhXF8f9ra1WS95E6OjSMRi4hSsbetgSgo9LPYXsbklIuUjAwmQQK4QSKdhDW94qjzGGDTU1qCpvtb6zYjFVEjQ3wu1pyIv8mt5bATqiC4yOqPlEgEREUwmjpLZ7+F69L8QHfoE9eUu9Ha149LZTmxpqrcmVTTGWPdLLhWdZSEBEih0AvlXPwoJ+XfNWGIS2LQEjDHWxItnr15F28mT8Hg88EorZCQUgk7CuNZgQpLB3+VF9Gtp9dQlItk7QYAwkEAuEJBnElNTQCQCURYXlKi6sgzVVeXwuF2IJxLIrLA3gT0TgyfhkzyWL0bIyQzrSUB+t006CU9sFBWT7yHz4E9IBCawe+sWXO7pRPfxI6iuLKd4sJ7XhHmRQKEQ2MT1oJCwiS8+q04C+UjAGIPahgac7O3F0VOnUFxaaokJIb8fa708pPKalf99K\/a5vJhOi\/OiAgYFBQHCQAIbTSAaBaannymFDo1qaaiDigmJRBJpaxnIZ6IteocNKRQlRbSQ53\/RJzHixhGQ62RLRVAZ+gdKR\/+CwIOPYEvHcGT\/bgxcPoNT7YdRJWKT3W6jkLBxV4k5k8C6E2CGKydgW3kSTIEESIAE1peAMQZVNTVoP30ax7q7UV1fD10aMjgzg\/UQE3QRuUGp8t\/EdKhDUkQFigkCg4EENpJAPA54vYA4jvOLYYxBc3MdaqorkUqnkVqhkGCQhTs1A5PRX4Ls\/Kz4OdcIZJLwxMfR4P0LMPQeJofvo6q8BGdPHkX\/hS7s373Nmg\/BZrNRRMi1a8fykMDzCXBvDhGw5VBZWBQSIAESWBQBY4y1JFd5ZSWOdXbiZE8PGrdssVZ0CPh84iiksNaOfRaAdm7+TLbfi5AQFuclI1v5ykACJLARBEQkgN8PaM+Ep57F8tISa64Eh8OOeEInacWy\/1RIcKbCcKVnIZrCstPhiWtEQK99Ng1n3Iea4GeomfgPzAx9iVBoFnt3bsXAxdM4f+YEWprq4XA41qgQTJYESGAhAX4rRAIUEgrxqrJOJLBJCBhjUFxWhgPHniwPuWXHDkRmZzE9MYG5FR3WWlAQVwJfCe9PxLzyApsWW+s8JSsGEiCBpwmImIdgEOIxioOfXXDUYbdjS2MdKspKEZyNitCYWXB8qV9cmQhcKclrhfMtLDVfxn8BAfntlQsLWyaG8vB91Ps\/QHb0YwwNPoZTBIMTxw7i1tVenOpoQ1VFmSVGvyA1HiIBElACNBJ4AQEKCS+Aw0MkQAK5T8AYA09REXYfPIjO3l7ska3OW6CTMEYjEXmvzFq2ljVJSuK6qsMH8iL7gzgzcTGKCQKFgQTWm4A88wgE8PTwBu26XldbherqCkQiUegQh+UWzciJtmwK7uQMkNWnX3YwbCwB+e01mTiKo8NomPkAFd6P4B\/+BjM+nyUgnT99HAMXz2D39i1wuZwcxrCxV4u5rwMBZkEC60GAQsJ6UGYeJEACa0rAGAO3x4Md+\/ah+\/JlHD5+HC632+qZEAmH11xImKuctaqDfPlETFd14FAHAcFAAutJQOdJ0AkXU6kFuaqQUFZajOaGWhibQTAUWdHvgg1peJI+2DMUEhaAXu8vIiBAroEr7kVN8HOrFwJ832NifARpEXTb9u\/Eras9uNLThfraatjt9vUuIfMjgaUQYFwSyCsCtrwqLQtLAiRAAi8goC+JDS0tOHX+PI6fOWNNyDg1Ogq\/OBbrMQkj5C8t9kjsL2IP5CU3LsbeCQKDgQTWg4AKCDMzQCwGUQoW5FhSXIzGumpUlJdixh+Qw9kFx5f6xWkNbwjIaStLRxJgWAoB+U2Viwdk0nAlZkRA+BLNgfdREvgGM5MjmJyaRmV5GXq62nGrrxdt+\/fA7XbCaFeSpeTDuCSwaAKMSAKbkwCFhM153VlrEihYAtryWFlTg6NdXTjR04Mt27cj6PdbvROSyaS8f67PS39QCP9dXng\/l1Yxv2zZO0GAMJDAehCYnQV8PsjDviA3l9OB2uoqERNqMBuOQpeClEdzQZzFflGf1J5JoCjhfSafxabBeMsnYEuFURH+AQ3Bj1A1+xUSwXFMTk4hnkhhz45W9F\/oxsUzJ9DcWA+7na+6yydd4GeyeiRAAisiwF\/XFeHjySRAArlIwBiDsvJyHOnsxNmrV7Fz3z7EolGMDw+L85AQ\/2J9xARdHO57AaRzJwyKoJAUY+8EAcJAAmtJIBwGpqaecfCNMVb39vraKnEu7QjORqQUy\/8tsCOF4oQXJq1P+vLTkUIwLIaAqj7pFEqig2j2v4f64MdwhEcxOTWJ0XEvPB4XTnUcxJ2BC+jsOAztlaAigjEq+ywmA8bJFwIsJwmQQG4QsOVGMVgKEiABElh9Arq01469e3F+YABtJ05Y8yiMPX5s9VBYr6EOWiuf\/E\/nTfhUXoR9YlzZQYAwkMBaEdBlILVHggoK8rzNz0ady+qKclRXlmFWjmcyOhnr\/BiL\/6zuqSMTgUfEBFEnF38iYy6NgF7DTAqe+DgaA\/fEPkBRfAKhUAjDY1OIJ1PYv2c7rl86i77e09ja3GAt62iMXqGlZcXYa0qAiZMACRQYAQoJBXZBWR0SIIGFBGx2O3TeBJ2E8eS5c6hpbERgeho+abFMJtavd0JMivVA7GN5KX6YySAiWw53ECAMJLAWBIJBwOt9JmWHw46tLU2oqa5ELJ5AQn4DgOX3JnBkYihKau+HzDN5cccKCchvpEkn4bYmUvwMTYEPUB57jFR0FuOT0\/D6\/KitrkBvVztuXulBZ\/sh1FSVW71NKCGskP2C0\/mFBEiABJ5PgELC87lwLwmQQAERMDYbKqurcfzsWZzr78fWPXsQj0YxNT5uDXlYr+EG6mqoa\/OpsNXeCV4RFLR3gnxlIAESWE0C4TAggiG0d8JT6W5rbUZpSRGMMYjG408dXdpXG9JwpwKwp6Ny4vIFCTmZYT4B+W10JqZRE\/ocjYH3URP9Do5kCL6ZIB4Nj8llzeDQ3p240XcWfT1d2LmtBVzWcT5AAPxKAiRAAmtMgELCGgNm8iRAArlBwCZigqeoCHsPHUKPiAm6RKTT5cLk6CgCMzNIp1JQQUFtrUusC8YNSiYfin0vL8wRcXYysl2PvCVLBhIofALyPMPvB3TiRWnZnl\/h8rJibGlsQEmxB9FoHPrszT++lM8GWTjSEbjSQcgPyFJOZdz5BPQaiRlrKUcREIKfomXmXVRHvoM7FbSE36GxSXinZ7C1pQHnT3fg7sAFHDu4D6WlxbCJKGRMYfRDmI+Fn0mABEgglwlQSMjlq8OykQAJrCoBY4w1dra5tRWdFy7gxNmzqGtsxGwgAF0iMiGtk+vpzIvrgc+khp+IjctLdEJsPfOXbBlIoHAJhEKAmjxX8ytpjMH+PdtQWlKCSCyGlAh5848v9bMzE4NLWsuRScup7JUgEJYWshmYTALu+BSqQ1+iyf8+aqPfijgTQjIRt4YwDI1Owumw41THIVy\/fBbXLp1BU0Ot9XtuTE4ICEurM2OTAAmQQAEQoJBQABeRVSABElgaAZvdjpraWrR3d+P0lSvYtns34uJQeCcmngx1yGSWluAKYqvrMSjna++Ez8XhmRHj3AkChIEEVkogGgVEJEQy+UxvgS1NDaiqKEM2k0UqpU\/h8jJTF9aWTcElreb2bHx5iWzWs+S3DpkkPCIg1AR1DoR7qIl8A08miKz8BodmIxgdn0I4EsP21iYMXDqLG1d60HZgD1xO5ypRYzIkQAIkQALLJUAhYbnkeB4JkEBeEzA2G0rKyqyhDqcvX8ah9nY45eV0YngYAb\/\/p6EO61VJXYhOl4p8R16uf5CX6ISY9k5QW68yMB8SKCgCcXHs5VmGNaHiwpoVedzY0dpsTcwXCkewkufMhpQICSE4UrFnBIuFufKbgH7CKJuGPRlEbeATNM+8i5ro93CnQ3Isjbhct9GJKaiVlBRZkyi+dacP5zqPoramEg4RgkGUJEACJEACG06AQsKGXwIWgARIYCMJOEQ8aNm+HZ3nz+PUxYto2bYNIXE+vJOT1rjclTgYy6lXWE7SoQ7viaAwLGJCTLbrXQYpAgMJ5D8BnSdBV2\/QngnyHM2vkF2c0daWRpSIozq7YiEBcGajcKRnxRFev95M8+uTF5+zWdjScXgSk6gOfo7t039Abey+xS6TyYqAkMC0z4+R8SnRG7I4cnAPBi6fwXWx1uYGS+jVuRDAPxIgARIggZwgYMuJUrAQJEACJLCBBHQixur6ehw7dQpn+\/ux\/9gx6Avr+MgIAj4f0iscQ73UqqkrMiYnqaDwhThAUyIopGQruxhIgASWQkDnSFCTZ2j+aTabQV11JRpqqi0HNhpLiPM6P8bSPjvSUbhTQRhpaV\/amXkRe2WFzGZgS0dQHB1GzexnaPR\/gNrIN3AiDhVJkyL4+PxBS0CIxuLY0dqCaxfO4HZfD04ePYTK8jIYo4NIVlYMnk0CJEACJLC6BCgkrC5PpkYCJJCnBIwxKCouxs59+3B+YMCaP0EnYpwaG8OkCAqJhDoaWevFdz2qmJVMwmI\/iL0r9pU4QmERNDKy1ZdvNdnNQAIk8CICumpDMAhRAyEP708xjTGorChFs07YZ3cgFJqVwyrh\/RRlSR\/sSFpCgj2TkPP06ZXNhocNKoCKnmryW2VScZSEH6PJ9x6aA++jOnof7nRIBJcMVKCNRGN4PDSGqWmfNWzh9MkjeO3GRfR2d2BLcwM8bpclIhhjNqgyzJYESIAESOCXCFBI+CUy3E8CJLApCWjvhIqqKnRfumTZoePHreXhVEwIi1OiL7\/r7cRH5Up8Jfa+2GN5QQ\/LC3patutdDsmegQTyi4CIb5iZAXR4w1MlLy4qQl1NJcrLSqDzJDwR6Z6KtMiv6ua60kE4xbBSHWGReeZcNPlNQjYDXYHBmfSjPPIDWmbeQXPoA5SlJuFAyhJz0ukMtOfBpIgHw6MTIuiU4VxXO2719eDGpTPY2tIIl8tpCQg5V0cWiARIgARI4CcCFBJ+QsEPJEACJPAzAafLhYPt7Th75Qo6e3uh4oLf68X05KS1soM6HT\/HXvtPGcliUuwTsY\/FVFCIiqCw3uWQrBlIIL8ITE0BYe3fs7DYdrsNTY31qK6qgHavj8VX1pvAJS3trmRInGV9WhfmVfDfRESwpWMojo6gJvQFmvz30BD6FKUiINjxhIcKnyogTHinMTYxhVQqi44jB3D7ai8GLp7GsUN7USTijjEqyxQ8MVaQBEiABPKeAIWEvL+ErAAJkMBaEbDZbKhvacHJnh70Dgygdft2cRKymBgdxWwgII1vT16Q1yr\/56Ubl50jYioo3JOtV17gZcNAAiTwSwTkWYWa9k6YF8cYg8a6alSUlcDldEK72c87vOSPNqThSflhz+gaLJuoW0I6gZLII2v1habgh9YKDEXpGdiFxxxE7ck+YXUgAAAQAElEQVQ16Z3Bw6FREW3SaG1pwqsDF6xhDMdFTKipqoT+3s7F55YESIAESCD3CVBIyP1rxBKSAAlsIAF9uS0uLcXetjZcff116ISMdQ0N8Hm9mBwbs3on6EuytraprVdRk5LRuNgfxD4UB8knNrdkpOxiIIECJ7DE6o3L0xKJWELg3JnGGBQXF6G1uRElstXW8pQ8R8t9jo0k7ElOw5maXZCP7C6coMKlDl8Q8cCRDKI4fB+t03\/EluD7KE1NwpmNw+jYDomXzmSQTCYRCM7i0dAYZgJB7NzWjAvdHfhPr9\/Amc6jqK6sgMNhhzFKr3AwsSYkQAIksBkI2DZDJVlHEiABElgpARUUqmpqrGUiz169ag17sNvt1lCH4MwMkgntFr3SXJZ3\/tyEjF\/Ky\/uEvLzHxZaXEs8igTUmsFHJT04+Gd4gz8j8IqgTu721yRIS0ukMEgmV6ObHWNpnV3oWrlRQhIS0nJgVK6CQScORCqE4Oozq0D\/Q7H8XW4IfoCQ9g\/kygA63isvv4Yw\/gNEJL\/yBEBrqqnGlpxN3+s7jSu8p1NdVFRAYVoUESIAENicBCgmb87qz1iRAAssgYGw2FJeWYvfBg+jp78epCxegKzuEgkFMjIxYvROW25q5jOIsOCUk374V+1Ds7+IsTUrLqk7IKF8ZSGDFBPI+AZ0jQQQ\/pFLi5Gd\/qo5NWsLra6tQUVEGm81YQsJKnmGDDNxJHd4Q\/ymPvP+QScEV94p48Dka\/ffQGPwbqqPfoSi1UEBQbinhO+MPYWhkHMFQBNWV5eg+eRSv3byEvvPd2Ld7G3SSS2PmSw95T4gVIAESIIFNSYBCwqa87Kw0CZDAcgkYY+B0OlFdV4fjZ86gZ2AAhzs64HS5MPL4Mfw+H7Q7r7bKLTeP5Z6nMzbMysn3xf4q9kUmg4AICinZ6ku+muxm2DwEWNM5AvIcwOuFPJxze6yt9jRSx3Zna7P1XEdjCWiXfOvgMv5nkIU7FYA9FftRsMguI5UNPEVESMjvhckkYUtFUBQdQePMe9jq+yPqI1+jNOWFKxuDXQQTSwqQ+Ppbl0ymEJqN4NHQOHQyxYa6apzqOIhXr1\/E7avnsH\/XdpSXlkB7cRljnbmBlWTWJEACJEACq0GAQsJqUGQaJEACm5KAQwSFbbt2oeviRfRcu4bdBw4gKi2fk6OjCPr94rMksVHOu7gx0CUj35Er84W87I+LJcQ2qjxSDIZFE2DENSEgIh+i0ScOvjwLc3m43U60tjSgyONCOp1CNrN8519dZGcmAlc6JPmk57LIj601dCGI4tgwqoOfW0s3bvG\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\" width=\"455\" height=\"310\" \/><\/span><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><br \/><\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Figure Pie Chart \u2013 Misconception Distribution, illustrating the proportion of students exhibiting each type of misconception.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">5. Scatterplot Analysis <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">To validate assumptions of linearity in score gains, scatterplots were created to visualize the relationship between pre- and post-test scores.<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><br \/><\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: center; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><span style=\"border: none; display: inline-block; overflow: hidden; width: 527px; height: 332px;\"><img decoding=\"async\" style=\"margin-left: 0px; margin-top: 0px;\" 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\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width=\"527\" height=\"332\" \/><\/span><\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><br \/><\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">A positive linear trend confirms a consistent gain in conceptual understanding, especially in students exposed to structural analogies.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">6. Thematic Analysis (Qualitative Data)<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Interview transcripts and observation notes were coded using thematic analysis. Key themes included:<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Literal Interpretation of Analogies (28 references)<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Confusion from Metaphors (17 references)<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Awareness of Analogy Limits (31 references)<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Conceptual Shift After Clarification (26 references)<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"><br \/><\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: center; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Table 1: Summary of Thematic Codes<\/span><\/p><div dir=\"ltr\" style=\"margin-left: 0pt;\" align=\"center\"><table style=\"border: none; border-collapse: collapse;\"><colgroup><col width=\"433\" \/><col width=\"190\" \/><\/colgroup><tbody><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Theme<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Frequency<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Literal Interpretation<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">28<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Structural Understanding<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">19<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Misconception Realization<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">26<\/span><\/p><\/td><\/tr><tr style=\"height: 0pt;\"><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Metacognitive Reflection<\/span><\/p><\/td><td style=\"vertical-align: top; padding: 0pt 5.4pt 0pt 5.4pt; overflow: hidden; overflow-wrap: break-word; border: solid #000000 0.5pt;\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">21<\/span><\/p><\/td><\/tr><\/tbody><\/table><\/div><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Students often initially adopted misleading analogies literally but showed improved conceptual clarity after reflective discussions and explicit deconstruction of metaphors.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Summary<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">:<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Descriptive and inferential statistics confirmed the impact of analogies on learning gains.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Structural analogies proved more effective than surface analogies.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Misconceptions were more prevalent with literal analogies.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Thematic analysis supported these findings qualitatively.<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">8. Findings and Results<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The analysis of data collected through diagnostic tests, interviews, and classroom observations provided a comprehensive understanding of how analogies and metaphors impact students&#8217; conceptual understanding and misconceptions in chemical education. This section presents the findings in light of the statistical analysis and qualitative insights.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Conceptual Gains<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Descriptive statistics and paired t-tests revealed a significant improvement in students&#8217; conceptual understanding of chemical concepts following the intervention. The mean pre-test score was 13.4 (SD = 4.5), which increased to 22.1 (SD = 3.8) post-test, indicating a mean gain of 8.7 points. The t-test results (t (59) = 10.67, p &lt; 0.001) confirmed that this improvement was statistically significant.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Students exposed to structural analogies achieved the highest mean gain (9.3), followed by those without analogies (7.2), while the surface analogy group had the lowest mean gain (5.8). This finding supports the hypothesis that the effectiveness of analogies depends on their structural alignment with scientific concepts.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Misconception Prevalence and Type<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chi-square analysis showed a significant relationship between the type of analogy and the occurrence of misconceptions (). Literal interpretations and misapplied models were more prevalent in the surface analogy group. Out of 60 students, 24 exhibited literal interpretation, 18 misapplied the model, and only 18 showed no misconception.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The pie chart (Figure 2) visually confirmed the disproportionate presence of misconceptions associated with poor or oversimplified analogies.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Impact of Analogy Type on Learning Outcomes<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The one-way ANOVA results (F (2, 57) = 14.23, p &lt; 0.01) illustrated that structural analogies significantly outperformed surface analogies in facilitating conceptual gains. Post-hoc Tukey tests revealed that the difference between surface and structural analogy groups was statistically significant (p &lt; 0.01), but the difference between structural and no analogy groups was less pronounced.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Figure 1 (Bar Chart) illustrated this variation clearly, highlighting the instructional advantage of deep analogical reasoning.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Relationship Between Pre- and Post-Test Scores<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The scatterplot (Figure 3) demonstrated a strong positive linear relationship between pre- and post-test scores, suggesting that students with moderate prior knowledge benefited the most from analogy-based instruction. Students at both low and high ends of the pre-test spectrum made gains, but those in the mid-range showed the steepest improvement trajectory.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Qualitative Insights from Interviews and Observations<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Thematic analysis of interview and observation data provided rich contextual understanding of how students processed analogies. Four dominant themes emerged:<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Literal Interpretation: Many students initially misinterpreted analogies, treating them as exact representations.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Metaphorical Confusion: Overuse or misapplication of metaphors led to blending of unrelated concepts.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Clarification and Shift: After guided discussion, students often re-evaluated their understanding.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Metacognitive Reflection: Reflection helped students recognize the limitations of analogies and adjust their thinking accordingly.<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Table 1 summarizes the thematic frequencies. These insights affirm that instructional scaffolding and reflective discussion are crucial in maximizing the benefits of analogies.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The findings conclude that<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">:<\/span><\/p><ul style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The data affirm that while analogies can enhance conceptual learning, their uncritical use can propagate misconceptions.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Structural analogies aligned with scientific principles are most effective.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Literal or oversimplified analogies contribute to persistent misconceptions.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: disc; font-size: 10pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Qualitative feedback emphasized the role of instructor facilitation in interpreting analogies correctly.<\/span><\/p><\/li><\/ul><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">These findings validate the research hypothesis and offer evidence for the careful design and use of analogies in science education.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">9. Discussion<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">\u00a0<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The findings of this study underscore the dual-edged nature of analogies and metaphors in chemical education. While they are frequently employed as heuristic devices to bridge abstract concepts with familiar experiences, their uncritical use can propagate persistent misconceptions, particularly when students interpret them literally or fail to understand their limitations.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Quantitative data clearly demonstrated a significant improvement in conceptual understanding among students exposed to structural analogies. These analogies, which retain the core scientific relationships while simplifying the complexity, proved superior to surface analogies that rely on superficial resemblance. The ANOVA results (F (2, 57) = 14.23, p &lt; 0.01) substantiate the statistically significant differences among the groups, with structural analogies yielding the highest mean gain scores (9.3). This is in alignment with prior literature, including Kumar (2024), who emphasized that cognitive alignment between the analogy and the target concept enhances understanding.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Conversely, the chi-square analysis revealed that surface analogies often promoted literal interpretations and misapplied models, leading to a higher prevalence of misconceptions. This aligns with themes identified in the qualitative data, particularly the 28 coded references to literal interpretation and 17 to confusion arising from metaphorical language. These results support the theoretical frameworks that caution against analogical overextension\u2014where learners apply an analogy beyond its valid scope.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Interview transcripts further revealed that students often lacked metacognitive awareness regarding the nature and purpose of analogies. Many participants initially expressed confidence in their incorrect understanding, only to later report conceptual shifts following explicit clarification. This highlights the pedagogical value of reflective instruction, where teachers not only use analogies but also discuss their boundaries.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Moreover, the diagnostic test data suggests that misconception patterns can be traced and predicted based on the type of analogy introduced during instruction. The pie chart and chi-square test reinforce the need for intentional analogy selection. For instance, concepts like chemical bonding or acid-base reactions\u2014commonly taught using analogies such as &#8220;electrons as planets&#8221; or &#8220;acid as a villain&#8221;\u2014may create simplistic and misleading frameworks if not critically evaluated.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">These findings build upon the work of Kumar (2024), who identified that conceptual cartoons and AI-powered tutoring systems provided more nuanced learning experiences, reducing misconceptions. Analogies and metaphors, while powerful, require scaffolding through instructional strategies such as Conceptual Change Texts (CCT), questioning prompts, and reflective activities.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Overall, the data confirm the central hypothesis that while analogies can enhance comprehension, their structure and instructional context critically influence their effectiveness. Misconceptions are not just errors but cognitive artifacts shaped by prior knowledge and teaching tools. The success of structural analogies in this study reaffirms the importance of carefully engineered analogical instruction that aligns with learners&#8217; cognitive structures and is supported by reflective discourse.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3141ebf elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3141ebf\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4d82dc5\" data-id=\"4d82dc5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c2922b7 elementor-widget elementor-widget-heading\" data-id=\"c2922b7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">10. Conclusion \n<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d30ae4b elementor-widget elementor-widget-text-editor\" data-id=\"d30ae4b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This study concludes that analogies and metaphors, when strategically designed and critically evaluated, can serve as effective pedagogical tools in chemical education. However, their uncritical or superficial application often leads to the propagation of misconceptions rather than their resolution. The findings suggest that structural analogies\u2014those grounded in accurate and meaningful relationships\u2014are particularly potent in fostering conceptual clarity, while surface analogies risk reinforcing faulty understandings.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Statistical analyses including t-tests, ANOVA, and chi-square tests provided robust evidence that instructional strategies incorporating well-constructed analogies resulted in significantly improved learning outcomes. Thematic analysis of interview and observation data further corroborated these quantitative findings, highlighting students&#8217; evolving awareness of the limitations and affordances of analogical thinking.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Importantly, the research emphasizes that misconceptions in chemistry are not merely random errors but are often the result of deeply ingrained analogical misunderstandings. These require intentional pedagogical interventions to be addressed effectively. The use of diagnostic assessments, reflective discussions, and clarification of analogy boundaries emerged as essential practices in mitigating these issues.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Ultimately, this study advocates for a more reflective and structured approach to analogical instruction in science education. Teachers must be trained not only in selecting appropriate analogies but also in guiding students through the cognitive processes necessary to understand their scope and limitations. Doing so will support a deeper, more accurate understanding of complex chemical phenomena and contribute to more effective science teaching overall.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">11. Recommendations<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; margin-left: -0.05pt; text-indent: -0.05pt; text-align: justify; margin-top: 0pt; margin-bottom: 0pt; padding: 0pt 0pt 0pt 0.05pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Based on the findings and conclusions of this study, the following recommendations are made to improve chemical education and reduce the propagation of misconceptions through analogies and metaphors:<\/span><\/p><ol style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Design Analogies with Structural Accuracy: Educators should prioritize structural analogies that reflect accurate conceptual relationships in chemistry. Such analogies help students develop meaningful and transferable understanding.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Integrate Analogy Clarification Activities: Instruction should include explicit discussions on the limitations and potential pitfalls of analogies. Activities that guide students in comparing the source and target domains of analogies can enhance metacognitive awareness.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Develop Diagnostic Tools: Institutions should adopt competency-based diagnostic assessments, like the one used in this study, to identify prevalent misconceptions before and after instruction.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Include Misconception-Based Training in Teacher Education: Pre-service and in-service chemistry teacher training programs should incorporate modules focused on common misconceptions and the pedagogical use of analogies.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Utilize Mixed-Method Assessment: Both quantitative (tests, scores) and qualitative (interviews, observations) data should be employed to evaluate the impact of teaching strategies and adjust them accordingly.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Leverage Technology: AI-powered tutoring systems and digital visualizations can enhance conceptual learning by offering dynamic representations and interactive feedback, complementing analogical instruction (Kumar, 2024).<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Curriculum Revision: Curriculum developers should review textbook analogies critically and remove or revise those that are overly simplistic, misleading, or outdated.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Encourage Reflective Practice: Teachers should routinely reflect on the effectiveness of their analogies in instruction and collect student feedback to iteratively improve their teaching methods.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Promote Collaborative Learning: Group discussions and peer explanations can uncover varied interpretations of analogies and help students co-construct accurate meanings.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: lower-roman; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Further Research: Continued research should explore the cultural and linguistic dimensions of analogical reasoning in chemistry, especially in multilingual classrooms and diverse learning contexts.<\/span><\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3b5fe13 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3b5fe13\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-621fd26\" data-id=\"621fd26\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-23cfe1a elementor-widget elementor-widget-heading\" data-id=\"23cfe1a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Statements &amp; Declarations<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7444988 elementor-widget elementor-widget-text-editor\" data-id=\"7444988\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Peer-Review Method:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This article underwent double-blind peer review by two external reviewers.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Competing Interests:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The author\/s declare no competing interests.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Funding:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">This research received no external funding.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Data Availability:<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Data are available from the corresponding author on reasonable request.<\/span><\/p><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: bold; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Licence:<\/span><span style=\"background-color: transparent; font-size: 12pt; font-family: Arial, sans-serif; color: #000000; font-style: italic; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;\">Impact of Analogies and Metaphors in Propagating Misconceptions in Chemical Education <\/span><span style=\"background-color: transparent; font-size: 12pt; font-family: Arial, sans-serif; color: #000000; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;\">\u00a9 2025 by Sandeep Kumar is licensed under<\/span> <span style=\"background-color: transparent; font-size: 12pt; font-family: Arial, sans-serif; color: #000000; font-weight: bold; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;\">CC BY-NC-ND 4.0<\/span><span style=\"background-color: transparent; font-size: 12pt; font-family: Arial, sans-serif; color: #000000; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;\">. Published by <\/span><span style=\"background-color: transparent; font-size: 12pt; font-family: Arial, sans-serif; color: #000000; font-weight: bold; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;\">ICERT<\/span><span style=\"background-color: transparent; font-size: 12pt; font-family: Arial, sans-serif; color: #000000; font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-variant-position: normal; font-variant-emoji: normal; vertical-align: baseline; white-space-collapse: preserve;\">.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3c3cc3d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3c3cc3d\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-99ff834\" data-id=\"99ff834\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ca92e6d elementor-widget elementor-widget-heading\" data-id=\"ca92e6d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">References<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-076adca elementor-widget elementor-widget-text-editor\" data-id=\"076adca\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ol style=\"margin-top: 0; margin-bottom: 0; padding-inline-start: 48px;\"><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Dagher, Z. R. (1995). Review of studies on the effectiveness of instructional analogies in science education. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Science Education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">79<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(3), 295\u2013312. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.1002\/sce.3730790305\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.1002\/sce.3730790305<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2024). Remediation of chemical bonding misconception through conceptual change text. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Edumania-An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">02<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(03), 63\u201373. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.59231\/edumania\/9056\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.59231\/edumania\/9056<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Harrison, A.G., &amp; Treagust, D.F. In J. K. Gilbert (Ed.) (2006). Teaching and learning with analogies: Friend or foe? <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Science education: Major themes in education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">4<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">. Routledge.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Glynn, S.M. In S. M. Glynn, R. H. Yeany, &amp; B. K. Britton (1991). Explaining science concepts: A teaching-with-analogies model. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">The psychology of learning science<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> (pp. 219\u2013240). Lawrence Erlbaum Associates.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Aubrecht, G. J., &amp; Aubrecht, J. D. (1983). Conceptual understanding of analogies by physics students. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Physics Education<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">18<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(4), 157\u2013163.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2024). Enhancing Conceptual Understanding in Chemistry Education Through AI-Powered Tutoring Systems. Effect of Concept Based Cartoons as art integration on Alternative Concepts in Chemical Bonding. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Shodh Sari-An International Multidisciplinary Journal<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">04<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(02), 286\u2013302. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.59231\/sari7735\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.59231\/sari7735<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Kumar, S. (2024). An analysis of common misconceptions in chemistry education and practices. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">International Journal of Applied and Behavioral Sciences<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">01<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(01), 1\u201311. <\/span><a style=\"text-decoration: none;\" href=\"https:\/\/doi.org\/10.70388\/ijabs24701\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #0000ff; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: underline; -webkit-text-decoration-skip: none; text-decoration-skip-ink: none; vertical-align: baseline; white-space: pre-wrap;\">https:\/\/doi.org\/10.70388\/ijabs24701<\/span><\/a><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Orgill, M., &amp; Bodner. (2004). What research tells us about using analogies to teach chemistry. <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Chemistry Education Research and Practice<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">. GM, <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">5<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">(1), 15\u201332.<\/span><\/p><\/li><li dir=\"ltr\" style=\"list-style-type: decimal; font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre; margin-left: -18pt; padding-left: 3.25pt;\" aria-level=\"1\"><p dir=\"ltr\" style=\"line-height: 1.7999999999999998; text-align: justify; margin-top: 0pt; margin-bottom: 0pt;\" role=\"presentation\"><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Treagust, X., D. F., Duit, R., &amp; Nieswandt, M. (2000). Sources of students\u2019 misconceptions in chemistry: Reflections on teaching strategies. In J. K. Gilbert et al. (Eds.), <\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: italic; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\">Science education: Theoretical and empirical bases<\/span><span style=\"font-size: 12pt; font-family: Arial,sans-serif; color: #000000; background-color: transparent; font-weight: 400; font-style: normal; font-variant: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;\"> (pp. 276\u2013297). Springer.<\/span><\/p><\/li><\/ol><p><span id=\"docs-internal-guid-dca596dd-7fff-90af-3dfd-46af47a2e270\">\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-60910ca elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"60910ca\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-90e7e78\" data-id=\"90e7e78\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7c30ab1 elementor-align-right elementor-mobile-align-center elementor-widget elementor-widget-button\" data-id=\"7c30ab1\" 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Professor of Chemistry, and \u2018by courtesy of Psychology\u2019, School of Applied and Behavioral Sciences, NIILM University, Kaithal, Haryana Abstract About Author Impact [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"postBodyCss":"","postBodyMargin":[],"postBodyPadding":[],"postBodyBackground":{"backgroundType":"classic","gradient":""},"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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