{"id":6443,"date":"2021-11-06T16:18:17","date_gmt":"2021-11-06T16:18:17","guid":{"rendered":"https:\/\/researchwithfawad.com\/?page_id=6443"},"modified":"2021-11-07T13:24:59","modified_gmt":"2021-11-07T13:24:59","slug":"ibm-spss-amos-series-1-what-is-structural-equation-modelling","status":"publish","type":"page","link":"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/ibm-spss-amos-series-1-what-is-structural-equation-modelling\/","title":{"rendered":"IBM SPSS AMOS Series &#8211; 2 &#8211; What is Structural Equation Modelling"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"6443\" class=\"elementor elementor-6443\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-h1jpskn elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"h1jpskn\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d4acc06\" data-id=\"d4acc06\" data-element_type=\"column\" data-e-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-bee4950 elementor-widget elementor-widget-heading\" data-id=\"bee4950\" data-element_type=\"widget\" data-e-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\">SPSS AMOS Series - A Detailed Introduction of SEM and Its Concepts<\/h1>\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-t8eyrey elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"t8eyrey\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-885cb99\" data-id=\"885cb99\" data-element_type=\"column\" data-e-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-50ddc50 elementor-widget elementor-widget-heading\" data-id=\"50ddc50\" data-element_type=\"widget\" data-e-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\">Introduction to Structural Equation Modelling<\/h2>\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-66 elementor-top-column elementor-element elementor-element-105f188\" data-id=\"105f188\" data-element_type=\"column\" data-e-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-4918b41 elementor-widget elementor-widget-text-editor\" data-id=\"4918b41\" data-element_type=\"widget\" data-e-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>The session will introduce some of the most basic and important concepts in Structural Equation Modelling (SEM). The session will cover<\/p><ul><li>What is SEM?<\/li><li>Advantages of SEM<\/li><li>Is SEM Causal Modelling?<\/li><li>Variables and Construct<\/li><li>Concept of Latent Constructs<\/li><li>Sample size in SEM<\/li><li>Measurement vs Structural Model<\/li><li>A Sample AMOS Model<\/li><\/ul>\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-6zx8jfk elementor-section-content-middle elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6zx8jfk\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-2b10226\" data-id=\"2b10226\" data-element_type=\"column\" data-e-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-fc6092a elementor-widget elementor-widget-image\" data-id=\"fc6092a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1280\" height=\"720\" src=\"https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/11\/IBM-SPSS-AMOS-Introduction-to-SEM.png\" class=\"attachment-full size-full wp-image-6447\" alt=\"IBM SPSS AMOS - Introduction to SEM\" srcset=\"https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/11\/IBM-SPSS-AMOS-Introduction-to-SEM.png 1280w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/11\/IBM-SPSS-AMOS-Introduction-to-SEM-300x169.png 300w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/11\/IBM-SPSS-AMOS-Introduction-to-SEM-1024x576.png 1024w, https:\/\/researchwithfawad.com\/wp-content\/uploads\/2021\/11\/IBM-SPSS-AMOS-Introduction-to-SEM-768x432.png 768w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/>\t\t\t\t\t\t\t\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-33 elementor-top-column elementor-element elementor-element-1e8e919\" data-id=\"1e8e919\" data-element_type=\"column\" data-e-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-755d715 elementor-widget elementor-widget-heading\" data-id=\"755d715\" data-element_type=\"widget\" data-e-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\">IBM SPSS AMOS - Lecture Series - 2<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-da54622 elementor-widget-divider--separator-type-pattern elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"da54622\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\" style=\"--divider-pattern-url: url(&quot;data:image\/svg+xml,%3Csvg xmlns=&#039;http:\/\/www.w3.org\/2000\/svg&#039; preserveAspectRatio=&#039;none&#039; overflow=&#039;visible&#039; height=&#039;100%&#039; viewBox=&#039;0 0 24 24&#039; fill=&#039;black&#039; stroke=&#039;none&#039;%3E%3Cpolygon points=&#039;9.4,2 24,2 14.6,21.6 0,21.6&#039;\/%3E%3C\/svg%3E&quot;);\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cf39eb3 elementor-widget elementor-widget-text-editor\" data-id=\"cf39eb3\" data-element_type=\"widget\" data-e-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>Lecture 2 of the IBM SPSS AMOS Series. The lecture is a detailed introduction to different concepts that are critical to learning Structural Equation Modelling using AMOS<\/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-jwkwhzs elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"jwkwhzs\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-c927f23\" data-id=\"c927f23\" data-element_type=\"column\" data-e-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-bf8264c elementor-widget elementor-widget-heading\" data-id=\"bf8264c\" data-element_type=\"widget\" data-e-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\">What is SEM?<\/h2>\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-66 elementor-top-column elementor-element elementor-element-61ca281\" data-id=\"61ca281\" data-element_type=\"column\" data-e-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-338057a elementor-widget elementor-widget-text-editor\" data-id=\"338057a\" data-element_type=\"widget\" data-e-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<ul>\n<li>Structural equation modeling, or SEM, is a statistical method that examines the relationships among numerous variables in a simultaneous way.<\/li>\n<li>SEM is not considered a single procedure but rather a family of related statistical techniques.<\/li>\n<li>This family of analysis techniques examines the measurement properties of a variable along with the interrelationships between variables and is often seen as a combination of regression and factor analysis.<\/li>\n<li>The use of SEM will often take a confirmatory approach in which the researcher has proposed a \u201cmodel\u201d of relationships between variables of interest and examines whether the observed data will provide evidence of directionality and significance of the relationships.<\/li>\n<li>SEM is very similar to multiple regression but is much more robust and has greater flexibility in the analysis. SEM allows you to model multiple independent and dependent variables, error terms, interactions, and correlations.<\/li>\n<li>Using a SEM model will also let you denote which independent variables will influence dependent variables, and subsequently, let dependent variables be independent variables in other relationships.<\/li>\n<li>Structural equation modeling is fundamentally built around the idea of modeling or drawing a model that represents relationships between variables.<\/li>\n<li>This model will use symbols to represent variables, relationships between variables, and even error in your model.<\/li>\n<li>SEM begins with a theory where the researcher intends to test the relationship among constructs of interest in the study. The relationships are modeled into a theoretical framework represented by a schematic diagram.<\/li>\n<li>The schematic diagram presents the hypotheses of interest to be tested in the study.<\/li>\n<li>The constructs of interest involved are measured using a set of items in a questionnaire.<\/li>\n<li>The measurement scale for each item should be either interval or ratio. <br><\/li>\n<\/ul>\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-80220ab elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"80220ab\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-bcce33f\" data-id=\"bcce33f\" data-element_type=\"column\" data-e-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-563d395 elementor-widget elementor-widget-heading\" data-id=\"563d395\" data-element_type=\"widget\" data-e-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\">Advantages of SEM<\/h2>\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-66 elementor-top-column elementor-element elementor-element-999ee85\" data-id=\"999ee85\" data-element_type=\"column\" data-e-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-e0cc0e1 elementor-widget elementor-widget-text-editor\" data-id=\"e0cc0e1\" data-element_type=\"widget\" data-e-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>The main advantages of structural equation modeling compared to other techniques are<\/p><ul><li>It lets you analyze the influence of predictor variables on numerous dependent variables simultaneously.<\/li><li>It allows you to account for measurement error and even addresses error in predicting relationships, and<\/li><li>It is capable of testing an entire model instead of just focusing on individual relationships. This is in direct contrast to similar techniques like regression that can test only one dependent variable at a time, does not account for measurement error, and focuses on singular relationships instead of the collective whole.<\/li><\/ul>\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-12d56f3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"12d56f3\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-4a8331e\" data-id=\"4a8331e\" data-element_type=\"column\" data-e-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-dddc778 elementor-widget elementor-widget-heading\" data-id=\"dddc778\" data-element_type=\"widget\" data-e-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\">Is SEM Causal Modelling?<\/h2>\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-66 elementor-top-column elementor-element elementor-element-8c9ae29\" data-id=\"8c9ae29\" data-element_type=\"column\" data-e-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-f2a1c38 elementor-widget elementor-widget-text-editor\" data-id=\"f2a1c38\" data-element_type=\"widget\" data-e-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<ul><li>You will often hear SEM referred to as a causal modeling approach. <b><i>SEM does not determine causation between two variables.<\/i><\/b><\/li><li>This is a contradiction that is used quite often with SEM. As stated earlier, SEM uses a covariance matrix as its input, so you are essentially looking at correlations between variables to determine <b><i>how one influences the other, but it will not determine causation.<\/i><\/b><\/li><li><b><i>Just because two things are highly correlated does not mean one causes the other. <\/i><\/b><\/li><li>SEM is a great technique to determine how variables influence one another, but to determine causation you would really need to use an experimental design.<\/li><li>While the majority of SEM research has been performed with non-experimental data, SEM is more than capable of analyzing experimental data.<\/li><\/ul>\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-ec39803 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ec39803\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-d654530\" data-id=\"d654530\" data-element_type=\"column\" data-e-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-0365a25 elementor-widget elementor-widget-heading\" data-id=\"0365a25\" data-element_type=\"widget\" data-e-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\">Variable vs Construct<\/h2>\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-66 elementor-top-column elementor-element elementor-element-ad9181a\" data-id=\"ad9181a\" data-element_type=\"column\" data-e-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-da314f8 elementor-widget elementor-widget-text-editor\" data-id=\"da314f8\" data-element_type=\"widget\" data-e-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<ul><li>Throughout the series of videos, the viewers would find the term variable and construct are used interchangeably.<\/li><li>A variable is meant for the directly measured score such as age, exam score, income etc.,<\/li><li>While the construct is meant for an indirectly measured score such as Job Satisfaction, Perceived Usefulness, and Loyalty Intentions.<\/li><li>In fact, the construct is a hypothetical concept of something, or the respondents\u2019 perception concerning certain issue.\u00a0<\/li><li><b><i>A construct is measured through a set of items in a questionnaire. <\/i><\/b><\/li><\/ul>\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-eaaa17e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"eaaa17e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-93aa9bd\" data-id=\"93aa9bd\" data-element_type=\"column\" data-e-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-9fb14e0 elementor-widget elementor-widget-heading\" data-id=\"9fb14e0\" data-element_type=\"widget\" data-e-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\">The Concept of Latent Constructs in Research <\/h2>\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-66 elementor-top-column elementor-element elementor-element-650e65e\" data-id=\"650e65e\" data-element_type=\"column\" data-e-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-c3087b0 elementor-widget elementor-widget-text-editor\" data-id=\"c3087b0\" data-element_type=\"widget\" data-e-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<ul><li>In science and social science researches, most of the times the researchers are dealing with latent constructs.<\/li><li>As has been said earlier, these constructs are measured using a set of items in a questionnaire. Since the Ordinary Least Squares (OLS) procedures could not entertain latent constructs, the researchers need to employ SEM for the analysis.<\/li><li>Using SEM, the researcher could model the relationship among these constructs together with their respective items in the model and analyze them simultaneously.<\/li><li>In this case, at least two measurement models involved \u2013 one for independent construct and the other one is for dependent construct.<\/li><li>The theorized link between measurement model for independent construct and measurement model for dependent construct is called a structural model.<\/li><li>Thus, instead of modeling the OLS regression and analyze using ANOVA, the researcher is working with the Structure Equation Modeling (SEM) and analyzed using software&#8217;s like AMOS.<\/li><\/ul>\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-2ce5e9c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2ce5e9c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-e2faedd\" data-id=\"e2faedd\" data-element_type=\"column\" data-e-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-cd780e7 elementor-widget elementor-widget-heading\" data-id=\"cd780e7\" data-element_type=\"widget\" data-e-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\">The Minimum Sample Size in SEM<\/h2>\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-66 elementor-top-column elementor-element elementor-element-fb10ae8\" data-id=\"fb10ae8\" data-element_type=\"column\" data-e-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-6bc0c78 elementor-widget elementor-widget-text-editor\" data-id=\"6bc0c78\" data-element_type=\"widget\" data-e-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<ul><li>There are endless debates in the literatures as to how many respondents should be obtained in order to employ SEM.<\/li><li>However, there is no clear-cut answers to it since every research differs (among other things) in term of the population characteristics, and the number of constructs employed in a model.<\/li><li>Hair et al. (2010), offer the following suggestion for minimum sample size depending on the model complexity and basic measurement model characteristics.<\/li><\/ul><div><img decoding=\"async\" class=\"aligncenter\" 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\" alt=\"Sample Size in SEM\" width=\"998\" height=\"312\" \/><\/div>\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-d87b4ba elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d87b4ba\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-ebb9dfa\" data-id=\"ebb9dfa\" data-element_type=\"column\" data-e-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-e67ce06 elementor-widget elementor-widget-heading\" data-id=\"e67ce06\" data-element_type=\"widget\" data-e-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\">Measurement vs Structural Model<\/h2>\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-66 elementor-top-column elementor-element elementor-element-e912fc3\" data-id=\"e912fc3\" data-element_type=\"column\" data-e-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-58b9b1b elementor-widget elementor-widget-text-editor\" data-id=\"58b9b1b\" data-element_type=\"widget\" data-e-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<ul><li>The measurement model in SEM is where the researcher is going to assess the validity of the indicators for each construct. After showing the validity of the measurement model, the researcher can proceed to the structural model.<\/li><li>The structural model is concerned with the influence and significance between constructs. The term \u201cfull structural model\u201d means that the measurement and structural relationships of each construct are included in the model testing.<\/li><li><b>Parameters\u2014<\/b>the term \u201cparameter\u201d indicates the size and nature of the relationship between two objects in a model. Parameters can be fixed to a constant or can be estimated freely from the data. A parameter estimate will take place on the measurement level with indicators and error terms as well as on the structural level between constructs.<\/li><\/ul><div><img decoding=\"async\" class=\"aligncenter\" 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\" alt=\"Measurement vs Structural Model\" width=\"800\" height=\"187\" \/><\/div>\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-907578f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"907578f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-51712ba\" data-id=\"51712ba\" data-element_type=\"column\" data-e-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-3ff2c44 elementor-widget elementor-widget-heading\" data-id=\"3ff2c44\" data-element_type=\"widget\" data-e-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\">Sample AMOS Model<\/h2>\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-66 elementor-top-column elementor-element elementor-element-99e8a27\" data-id=\"99e8a27\" data-element_type=\"column\" data-e-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-f6db8c0 elementor-widget elementor-widget-text-editor\" data-id=\"f6db8c0\" data-element_type=\"widget\" data-e-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><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter\" 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ZqQsP9nTu9GDLkF\/btWyHyV\/eLJ\/CvqkrDz28G5uaDOHkyjJYXagL\/sDBfBg36mf37Ffw1sfDmUVeXxR9\/zGXMmD5kZW2k5YWaINAPHFhB\/\/4\/sWOHD\/WdetTPH3IJDV2Avn4vUlKCEdKfWp5\/XNxq+vf\/idBQD+qLfjTBX8b69fPo27cbCQlBIn9t7Fgh4eEowNvbHiurIWJEqCU8mTJu3EjAwOB3tm9fTPOuIYWsXDkNS8vBVFdntBj\/iopUjI37ExrqTvPuoQWEhs7H2Lif6EFtmZSD6up0LC0H4+c3g+bdQwvYtm0Ro0f34caNBFrG0ZgL5GBjMxwfH4dm5l\/Izp1ejBzZk2vXDtMyjkYhguTsbM7ChRNp3q5HzS7ShTDdxo3zsLXVE3NmNb1pCsUG27YtZty4EZSU7KXlhLogUIOC5jBmTB9OnFB49zTPXyGKU1JCWpi\/nD\/+cMHEpD\/Hju1Gc3mVDedcERERKxg4sDspKRtoOaEuCNRDh\/wxNPydzMyNaL5mQMj5jokJZMCAn8SK\/ZYU6oXs2eOLrm4nkpPXNRP\/IhIS1tK7dxf27PGl5Q1VCcqhgMzMDRgY9OXy5ShaNhKaz9GjuzAzG8SRI7tpHrGQT1ZWKHp6vbl06VAL85dz+vQ+TE0HUlCwrdn4y2SbMTTsx9mzEc30m43zP3\/+IIaGfSkq+pPm2UPzKC7egZnZQI4d29Pi\/C9disTA4HcyM5tLQ8gpKQnH0LAfBQXbm+k3G0Mu168fxtR0IAkJa2i+PaRZRbrQwSU42JVp04y5fl1xwlNzEBXSSyIiljNu3HCxXWNzT3hBoG3Z4sGYMb9z6lRzph8I\/Hfv9mbgwO6cOBHWYvwVXoHm5S+0ZkxKWsfAgd1JTw9pxt9ueA8F7N27DFPTAZw4sb+Z76GYlJQQ+vf\/iZSU9S3APwMoJCoqgN9+60hamsJAaa7fLiItbSM9enQkNnZ1M\/+2BNWRw82b8ZiaDiAubpUWjJewhoSEuGFrqyemXWjWuKyoSMbEZADR0f5awD8DKGTvXh8cHQ2oqcnQOP+amkysrIawceM8hH7WLR0BKyIqyh8rq6HcuZOMZtMesu6lWYWEuIn8W3r8izh8eBXm5oPEQlLN8q+tzWXaNGPWrJmNdkRAC8jICMHYuD\/Xr8fRPFGtZhXp+YSF+WBi0l88KKDlRPLEiaO4dSupmR5y\/QAfPLiSoUN\/Fb0CzW0VCptMWJgv48ePFI2k5uUfF7eKYcN6iEZSy\/CPiFjBqFG9RCOhOUOneWRlhfL7792QyTbTMptuMfHxa\/n9965ijnZzeubyKCjYwcCB3UlLW99C\/ItITl5H\/\/4\/UVio6K3b3PcgQTnkExQ0Bycnc4R52tIbdAaCcBSEkyCcNTl\/8gkOdsXR0RDtOao8614B35493hrnv2ePN9Onm4gtELWhQ5lQ7zJ1qjE7dnii2T0sj6goP2xt9cQWiNrQoUo4x2bWLEuCg101zj8mJhA7uzFUVWVoCf8MIB83NxsCA2dqmL8CzSbS8ygp2cOwYb+JAqUl0y3y8fCYgIuLFcIi0xyLn5xz5yIYMuRXUlL+oOXSLQT+vr5TmDHDhOZb\/OVcuHCQIUN+IT5+dQvyF4T6+vWuODgYNOPil8uNG4cZN24EkZF+Lcg\/AygkNNQdW1s97t5Np3m6NeRw+3YqtrZ67N7tRct6BYvYutUDG5vh3LmT2kz8JaiGHK5fj8PIqB\/FxX+iGWNSUWCci2prQB5JSUFMm2Ys5ohrQjxmc+tWPCYmAygq2q5G\/g05PwzKPIc8UlPXYWDwOxUVqRrin0VFRSqGhn1JTQ1G\/cZAU8c+A5BTULCVceNGaJR\/dXUm06ebkJz8hwb4Z1B\/gI+qhbByioq2Y2IykPLyBDSzfgr8bW31iIkJQH168VFNGRQFyX\/3PGScObMXQ8N+XLoUieYdfc0i0rOorEzH0dFItL5bOmyRy61bCZibDyI+vjlyi7LudScICXGl5QsXc7hzJxkrq6EcOrSyWfhDDlOnGuPvP0MLxj+burpcHBwMxDCapmsChG4z3t72rFgxFc3n4CszHnIcHAxYuXJaM9yPojrfXmyf19JHbQt1ITNmmOLlZY\/2Hn3+\/xlFBAfPxcXFGs04UnIBOVW34igtjeJOleKka+XmT11dJs7OFqLDQRPrZyEbNswTHUnqiiJkQm0KN8uiKS2NegDRlJZGU3YzgVql+Gfj4mIltjfWDP99+5YyZ46VBrzouYCMqjvC2N+qSFdxjgnrubOzBZs3L0Az+3khBw+uYOpUI7FYWt3rpdBasvxGNKWlMVTfO29CWf5yXF3HalDPFHD48GqmTjWiujpNTfyzoSaJO3dTHsInD0jnRlkUpaWxVIvrw6Puz8vLjsBAZzS\/fzaLSM9nxw5Pxo8fiWDJaEPYSsgtMjcfLJ7OqUlvagEREcuwsBgs9uvWhrBNPkVF27GwGCz2ZdekNzGf2NhATE0HUlWVpuHfUhZyTpwIx9R0AGfO7Eez1rAcmWwT48aNEKvztYP\/uXMHsLAYLBbvapK\/jOLinRgZ9ePixUi0ow2qnIsXIzE07Edx8Q4N85egGrKorExh6lQjMeqo7qirDGrj2O9vSpc3hY3vk+69WBW+RRQrynxHEZs3L2DevHGoPxqZRXV1OrNnW6q5QC2PqhI\/+j7TGh0dnfvwnzZP8MILT\/PqIDNOVMv4+z26kMhIP9zdx4t7mjr5Z1Jbm8W8eeM4cGA56hWBuVAdR5i\/JT92eA4dHR3af9aNhduDuK2SMVRATEwALi7WGoimZFJXJ8PFxZotWzxQf9Qxj9rrewh0HsjbL7VGR6cNPw7RJzxPlcLkApKSgpg500yNIvp+\/m5uNmzaNF9N\/POh+gAuVj8zedN66td7IaJSVhLELLMfeflxHXR0nqb7iNHsTAujrtF04Dzk8s04OZmJB+5pUtNqXKTncP36YSZMGElx8XYVJoGmIVhPc+ZY8ccfLmgu\/Sabioo0DA37amjD+WcT18XFmtWrZ2nwvgQvwIQJo0Svk3bxX7durtj7V1O5lYLXwdHRiPBwbesqUkhwsKsoNDTL38NjItu2eWgZ\/wI2bZovjr+25DxLABnZ2aGYmPSntjYT9W6AOUAiG5x68uEH3zPPby4hIe44mXxHqzbvsfTQHpQz2HK4di0WE5MBnDu3H\/XW9uSSn78Vc\/PBVFenq5F\/NrW3DhC12Z2QEDcR89gQuhgf+9\/Q0XmcgW7e3KpT5l3I5s6dJExNB3Ls2C618z9+fBdGRv1EB5q6nBrZQDr7PQfwVPuPmO7jQkjIIvznjeDltm\/gsH4DyuuTbCorUzAxGciRIzuVnDPK8z95cg9mZoO4dUud\/DOE+ywPx3nIpzz90je4rZxLSIgHPjP782XH7oSkRyo5llnU1mYwduwwCgu3qX38z53bh5FRP8rKYv7hdwvNGiCe0Jm9aa2jg+mGhuMsh2tbMerajic\/7I5X0HxCQpwx6d6W1q91IuJ4YiPPX4gmWVgMITNzg5rH\/6\/PQ8MivYjgYFecnc3RbP63HNWFhpBbZW09jIqKFDRjDRWxc+cSHB0N+OeH1DxsAsoRLM0jCNXfqpzSKvA3Mxsk5pZpwsNfwP79y3ByMhPzv9VrcQv8i0X+ioOQlP18DmVl0YwfP1LsH6+JFy2fhIS1TJ48WjwlT1NRFKEoWnge6Srxt7YeKnqTNSHU88jP38bUqUbcvq2JbgB54tg3RLE4D\/7uOeRw+3Y8dnZjKCzcriH+ElSHnG3bFrF6tXMTx0Q4yEuYC0Xc7+ku4Fr6XD5\/uR2zwsOBE8BJ4AD2v7Tl2T6WlNYqm\/6UJ+bMBqJe55OcPXu8WbZsCqo7NR5cExueP6GoPzkCHBVxGojHbcgHvP2zASduq3JQUz6LFk0iKioA9a6dciIiVogHR6nKP0ucMwr+DU9tllN7eS39nnmGQXOWi9xPABkEGHzBu51GUXJXFWM9jxUrpnHw4Eq189+\/fzkODgZN4J8hjnEB9WuhYkyFNB3ZFgtebP02vrEHgRIRuWyd3oNvRozjap3y8z8w0Jnw8KWoe\/5HRwdga6vPozWj4tBChf552FkrMm5f2sYCqy60bvVfWj\/5FOM2h1LvlJFTtNWS11\/6ms15ieKzOAmXAund\/iXGePg\/YgzkhIa6s3GjO5rdOzQq0rO5cyeFiRNHkZQUhOa8aPncKAjEZ74b5ypVOa1UGOTZsy3VGFa5n39VVTpTphiJud\/qDNsJ937zdCj+rnro6nZCt19vPDev4ZbSxTDCJHVzs9FQWC2L2tosnJ0tCAvzUfP3C0UvZceDmDepN7q6nTCycyTzbByqLRhCbln9AQ3qN6IWLrQVW2hpqlhSSKHK2jQZBy8PbqoUfi\/Ey8uORYtsUX9uvhCtWrlyushf\/fP\/VNI89Af9KMx\/3c4ifsRri7JesSJ8faeI3vSWrhWQICCfSZP0SUxci+riJ4\/am\/vY4muCrm4neg4exZbYbdSIObiQyW5XXdr\/MJyS6gIEEXMMKORK8R9sPhDMTaXTN+Ts27eU9evdUK9IycPe3oDY2FUqfm8WIOPmuY342vVHV7cTgyeOJTa\/sTQG4R3KCNLnidbt8D4coeLvyYiM9Gf58mlq5+\/j4yjmu6vyvcJJmGczfbEz+hVd3U5MdJ1F\/qVkBPGWR9VxbzrptGXq2m0I77vQSCFmQU\/affILqaWqtNWUkZi4Fk\/PyWrnv2qVs8hf1fkvh9o44rY4Mli3E7q6vfDZspob907pTSVgUid0vhrOiRqFQ09oplCW7ETnDl3YfTQJ5fSDnOjoQOzsmmpMNP69wcGu7Nu37BHPVdhbqi9tI8B1FLq6nRhiZExY5t4Gn5FRfX4D1p+9xuMfdWKh7yS+\/eIVjIND4N56kMZa+y68oGvMpXvrfw6QgrfVV7QbZkNZXWOGgozU1GCsrYei2QYcGhXpMmSyzYwdO6zBZFDnzQuTi9th2Pd+n3ZfDOFopaph60IiIpazaNEksUBFnfcoo6BgG0ZG\/bh7V51eVCGP6nSSK93eepWPvv4CXd1u6P76JW8\/14afLCdztlxZLkKBxvz548W+t+rkn8uRIzuwtBzCnTspauYv40TMTL5s\/yqfd\/4GXd2udPv6bZ79rDNrElUJP+eRl7cFJycz7txRd25ZLufO7Wfs2GGUlkarcE+qooCKk\/50b6vDs4PNKVNJbMo5dmwnEyeO4tq1GNQbWhVSAhwcDDh1St2RCiF0vWnyD\/z3hTfQ1e3aRJEu5+TJMGxshotjpA31Av+fkcWdO0kYGw+gpGQPqr0zeVRcXMfo7u\/R7v2P6aHbDd1fv+GtN19nhIcPdykGDuI0oAM9Z3oCeRxLXUlIiBuR6bsQvGgFKB+JkpOevh5T04Gob5PO4u7dFEaP7iOmkahWzHcxyY3uH7\/I+19\/ha5uN37t\/glvvvMJHnu28tf3QU7djS0YfPwcH42y56bKRqqMnJxQxoz5HfVFiQWRNGZMX\/F0aGX5C1HapDXmdHjqeb7u1hFd3S50\/+4d3vmwB3vyY4BCqNiNbefX+cLQkdsKr2ltBJN+epMvB0ykVGkvssA\/P38rI0boUlenrrSkTOrqcjE27i+e5aGa0UTFATxHf8+r7d7ixx5d0NXtyJdvvcYvIyZx9m4ekIKXzde06WfKpfu81IVUHF3CTx9\/xMIDe1HuvZNx\/PguTEwGcPeuujIRhHlsYtJf7GrTGP88ygqXMaRDW9794nN0dbvR89cvaP\/0+0z1X0ONeNL27WNrWTTRgbTLmXApkM6fPI\/BOsVzzYXag8wY8B5f2czk7r0GAsJcCnP\/nac6DEB+p7E6yhzOnt2PhcVgbt48jOai5BoV6XLWrp3TxHCA0BFCCMkVP+QBCP9ecWoDU4d9hI6ODu91N+JktaoiPYebNw9jbj6YM2eUnZzK89++fbFYAdwUSzMLYdM4iuCFVDwDGXV3dmDxyXO0+8mIo6XZCBuMnJwNpryq8wyT125Q8pkLuYUWFoM5cULVTfHv+e\/Z44OXl10T+QsnRQr8Gy6eMurK\/8Tkk+d4XdeSc3eLgJNwcwcTur5G+x\/1OVmh7DzIoq4uB0vLIaSnNywoUQdkHD68mlmzLJQci78+P4H7kUeMiyTFDZcAACAASURBVAyIYonB1+jo6PC+uS3XVepWIhg8Y8b8TlLSWtTrEZKRkrIOW1s98f5V3cQVVfeKNaChgM4FDjL99y8wWLYWIXStarpLPX9bWz1xU5AKSFsWuZw5s5eFC21V3PhygTg8R3\/NK1\/0I+54MkIqg4z0rda0e6MDXomHgJ1YffMeBtOdWDp7GN988BKtWrXilTfeYdj4mZyrVKUdXS4lJXsYM+Z3qqrUJVJyuXDhAO7u47l+PVYF\/nK4toXRXdrxxehxHL8pR0jjSWCrS0\/e6PAbsacbOoqEd0serE+bJ9\/APykK1ed+DhcvHmTiRD3RwFeHSMnm2rVoJk3S5\/LlQyhnNAtcynI96PLSK4xx9+YmxUAJXN\/N7H4f0+FXc05XCimxpUf8MOj5GV90\/R5d3a50\/+5dvu2nT+I5VQ8nyuHKlUimTzfh6tVIJe\/17\/mXl8czbtwIFWsdBGEZu3gwbV\/9gqDDewX+HOFC2gJ+fu11jLzWADLWO3Sm1edDOEGByDcLKKZkjw1vPv4i7gfDlZwL2dy4EcfixZO4cCFChXt9NI+qqhT09Hpx\/PjuRr4zFyr34vTr+3zUx5D8y5ko0pYiFw\/jjZe\/JVQuHDQkGE\/5wBGqS5by3cfPY3hPpMugajcTurTnV4d51Nwn0nNJWTqC9o93I+psWiPzIouKiiRWrJiugbqE+\/lqSKQL3t7Ro\/uQkrIO1cNWuVw9EsL2EDdCtvlQfDm5wXcIE7I4zgXd9k\/z+g8dGfrDe3zdTY+SqqYUgOVjZzeG2Fh15hYKFqG9vUETw7ZCysq5\/LVCgc9Wf87eTENhAdZe2cis4cP4I2of9WlEeUAUM3q2432DyZQrLdbycXcfL57qp86Jlsfs2ZZim8smhO1IIT\/Wl5AQN7ZGredmjaKHqYyqc+twGDWCjUmKo6IzgSNkBw7luQ++58DZdJRfcPNYu3Y2O3YsUTP\/fDw97di791Fhu4dByKusurqL8O1uhIQsIr04kr\/m5wmLScJqE37tPxxLg295a4yNiiJd4L9+vZvYTky9uYUbN87nzz8XN+F7cwAZt85tZVuIGyEhS8g7e5h6Yyefuqvr0NPVZV3mYRQb0v05qMrf544di9mwwV3N\/CWojjwyMjawfPk0ampU6RqRT+WJZXT56D3cIqOAcwjG2mkgm4X9PuNHC3eqqrdj+f4zvPDsu\/QeM56E4oOUlcUjO+DEty+8zIgly6lS2qDO5vr1WDw8JqqxeFROXt4W\/PxmqCD8BZF6Ys94PnqxI5GlxcAphPfhArCbft+9j9HqYBqmAlC9n0k9Xqf9b0acr2lKG9Jsbt48jK+voxr553L27D58fR25dUtZI03QA7vm6PJiZz3KOA8cRzDuL8ORBXz35ueszYgFZBQfmM5PX77Ndz92Qle3C7\/88D5f\/jqAXbJDKnLI5s6dRJYvn8aRI+rqECXwX7LETkUjVQ6VuzHs8i693QOAS+L4lwCniPPoy8fdRnO+5gjnox358Il2OK7bgJDqdZSqKztxHfUt\/32qHZ6Ryor0LCork1m5cjp5eVtQz9opRJ9dXW0eYaTmcy1tFm+2\/4Q\/irOAswjv+hkgFrtuHzLCdTl19+2DBVQdf5hI38WEru+j77aMeh0l7KvpK\/R4Xed79h5vzHjLorY2FX\/\/GWLUR1N56RoT6YKVaW9vwJUrqliZOUAy+\/0M+Pz9V3mi1WO0euIpPvy6C767FA8iG4hn+ZyB\/GI5gcJL8Wyx7Mgn3w3leJNEuoywMF9CQ+crOTmVe4Fv307Aymoop06Fo9rLnwvEsm7uED59+0V0Wj1Gq\/++wGfdfsE\/WtF9QOFlbugxzAVicBvyFu+OseWW0mJNzt69S1m3bq4a+WdRVZXKqFG9RCtTtbA1pduZa\/EDb7\/0JK1aPcZ\/X23Lj4P1iT6uqHbPEfkrDiA4DiTgo\/8Zb3UeSfEdZdqI1fOPj1\/DlClGqO9FywSy0dPrTW7uJhWeq9BTXr5\/Bj9+\/hbPPNGKVq3+y5sfdsBiqTe3HiiCu1XkQ9\/OP7MpdR\/rZ3bj1ZFWXFNZpMtJTAxi8uTRauafh43NCNFIV2VeCbnDiUE2dPukPY+3akWrVk\/w\/mffMCdgDdXkAQWUpc+lR+9BrNu5CHuTX9HV7cL0RR6cqVDkFSr7ezKSkoIYO3Y4UpeXlkYeaWnBBATMUCGFQIiqnj3owKdPPMWnnb9DV\/eH+vSnnp3p8Fxr3upowtlrOxn3ng467\/Yk\/UYuglGXB8gIc\/mVp9\/5ndxbyuYlZ3PzZhxLlthx5sw+1CNSBf7CeRLK8hdE6sHFQ3jisRfp\/GsD7rpd6Nnza55rrcOX5m7U3ktpKeB62lw+ev55LNZtomnvveD19Pd3Qi5Xl0iTI5Ntxt\/fiepqZQ8KygHiWGjxOY+9+ga\/9uoicu+Erm5Xev74Ia11HmPcnzuoKvHm43avoO+zgmqOIYjYRPzGd+K5b38n9aIqaStZ1NWl4+\/vpMYDl3I5dSqcFSumUV6uSmvoAmrOBvDTp0\/T9tPP6KnbpcEc6EqnDi+g88aX7D2bBaQS6tKX555vT9ffOqHbpzv9BgxmjpMxHb\/6iHnhyrbkzaKuLg0\/vxmkpamP\/+nT4Xh52TdipAn7Su4WUx5\/+lm+\/rFTg3f9B3r2+p43n9Ph9TETuXVf+tYjRHqXN+kzfSG1D3jSM1bo8aZOJ\/afbCxVN5O6uhxWr55FdHQAmqu51JhIFzwCK1ZMo6oqGeUXm1wyNpvy8gsvY7bMm\/NliZRdCSN4Rg\/avvUNG1LEsFxtCteuxVJJIZBFsOFXfPzdsCaL9Li41aJIU1cBhIyjR3fi5WXHnTuqdLUQcvcjFg\/myWfeYebaQK6WJVJ2djsLrTvz1Cc\/s7ekse8rpO7MCro89yx6C1eIlqRyY5WYuBZz80GoT6TJOHkyDE\/PySouNrlQHc1isy955sNvWRv1J2VliZyTB2D12zt80tuUknJFjpggxqqu7WX\/trnMsf6Fbzv+wobECFQThUJu4dChv1H\/kv5T\/kLnlGnTTFQI22YAeZSmzeerl1+gm7kj+efjKCuL4lCwKe3bvoXthgYLTM0hXPQ7McB5CSDD3\/b7Jop0GceP72bMmN+pqFD2Xf07CF4mS8uhnD69VwX+QgTq5H4HPn7yJfSdXTl+NZ6ysgPs8BjGm099wMJ9YUAx8mBTntfRoe3nn9O3bzd0dX\/gl+\/f54sfR5JyPkWF38zhzJm9WFoO1VAHGgnKI4\/09PX4+6su0kt2jqODzhN81bVjA4EiFBT3G\/wbdu6LuHY3gqk\/v8JHVlPFvSPz3uePbbfk48e\/Y89xZetnhHC\/p+dkzp5Vn0hXnb\/wNzvn90OnzSt0\/e2HB\/h3YfDQHriuCqIWhfMih8M+Q3mh9Tfsa1SE\/P3v1tWl4+c3g9TUdahn78gjJWUdfn4z7uP2aOQA0cwz\/IA2b7xNj55d7uffuxtDh\/dlXWYEmYFDeOGzX0gpUzi6MoBiqgrn826r15m56U+UNzayqK0VRKqQKqkO\/nIyMzeyerUztbWqRJIEEdqtQxve+PLL+41U3U706fczwydbk3ElDYWYzN43C4MBnek5fBibk\/dzJd2Fzq99wMoEVdowqpu\/kO7m6dlYJEHYH9LW6fHEs8\/yXffOD8z1Hxgw+DdsA725\/YBD66EivWYv9j3epPPEOVTfJ9JzOOw1lFfb9yHtemNd6YSOaq6uNqxa5UzTzhBS7ploSKQXsXXrQhYutEX5ohoZ3N3F+E7v0m\/OSuAqQl7deSCLhXpf8b21c4ME\/2yEFzSVdf9QpBcWbmfUqF5qLJ7MJzn5D\/z8ZlBXl9HIID8MedSVhdD3y3ewCNgMXBafwUUgjgk\/fkjvGV7U\/eWFkAEp\/GH9HU+83Y1Dp1RZeHMpKvqT4cN1qa1V5V4fzSMrawOBgaosNoKHpzRlNl+07cCqnFSEcO1J4ApcX8OPHT7EabcitChsrhdjZ\/DVk61o\/fh\/ee\/LnmxN3otqIj2H0tJoZs40V1FQP3pOHTmyg+XLp6lw2IEQRfKz6cwHfccjhCxPI4TxThG7oC+vfz+Co5V5QB6p\/vp88E1vEi4LRZTLJzZVpGdz7Vosbm42XLyortxCIWzp7e3AjRtxKs1F6qJw7vMxHa1chHHnJEL6QhEbx3Xhq74TuFOXz0HPITzf7gv8E\/ejaCVWV7Ydq65v8JHhFK4p3fI1m1u3DuPtbc\/Zs+rueS1BNTRdpF+Mm8bnr73PHwVpCDmqivqEYwh7SAkQg5t+B97Sn0T5PU+bKNK3WfJRm+8IK2lZkZ6W1hSRnkOc1xBee6knBRxHiCwq+JcgrKPCqYrCOnOYJSYdeLq7Iedqmxo9EkSav78TGRkhqEukp6eH4O\/vpAL\/bCART7NPeWnoeIT0B0UtjyL15yIgZ5dzd17\/vjc5NxrWHuTB2ZV013mNcb6qiM16I0V9nmQZxcV\/smqVM5WVqjhM8qm9uIYun7fFYN1WhD2jYVvacyjytivL47hWlkR9m9JioIiMgBG8+nRnos41loP98PEX+DeXSBe4Fm4z5fEPv+Hg5XzqUx2LEeb9BZFbw5qkh4l04cwEL8uvaDvMpsG+KfzmRqefeP43A87UNKZfBYPB29uBrVsXornubRoT6UcICHBi9mwrlG\/tlsfdI950bPMyQybasTFkoXjggjshGxdgP+xTHvtiMAUVDatts\/nnIj2XkyfDGDr0NxW8\/n\/PPyjIBVdXG5Q\/dlzYLK4kzuTLV9piNMeJDSHz7z2DDaFuWHR6kw4\/mHGxrqGXPBfIIc5\/BM8\/8zruO7ehag2A0IVkuIpe\/0ehkN27vfH2dkD5okExx9p3BK+0+RiXAHdh7EPcCAnxIHS9I50+eImuDosaRAkyqbmbwPXSOMrKIgie9jPPvfIVG1OU9QYIc+jWrXi8ve2bkJrU+FxOT1+Pn98MFYwUGdzdgU3Htnw1ZAyhGxffO3AkJGQxPna\/8kqrz9h9MpO7Z1bS6+uv8dgbhrAwZeI\/uSNt9Wy4zREV57Dg9V6xYpqKHSUezaWoaDv+\/k7cvavaZlN3+Q+6f\/4y3xtbsmnDwvpnsGERbhadeO6TH4m\/lMHd2wmUXU9qMF5ZQCFZa0fx0pPfsO+ksoVgQth+xYrp5OU9rAuGhOaDIt3FqcGYKvc5ykLo1eFlfpviiSDMZSjqOGSRSwmL\/JNaZBzy6k+b138g8pKiOYGQ7rJndg\/adhzBsQpli0eFnGwvL3s1Nh3IIyMjhIAAVUSq4NwoS3OhwwttmfLnLoR9WobgNY0jcu8iIvMjEN4HOdzahNEHz9NjmnuDFBhV7zWL27cTWblyOiUljRX5qYpcjh\/fjZ+fk7gXKWukyEjxH8ULT33BjpJUBM0hE\/57I4y9W70pupxB0VYTXnq3E\/vOKJoy5ALHuJUxi3ee+RDvQ\/tQJTWxqiqFlSuniymN6snJPnt2L76+jk0onI5idq+P+EDXkqscEe9HwCXZGnaGB3GDPIo3WfLJSx0JO5GGMP8LgDRWmH7PB0MnPqLl4F\/5q99IE9J9fHwcxYOcHsY\/j8qSpXR65hXMVq5DMMhkIpdkMvYtITJjzwOffZhIF+ZNst9I2r3Xk\/RbirN2ioFwbDq2o6utK1WN6jfBSAsIcFJjJOHhz0RjIn3VKmd8faeo8Jl8rmXO592nWvFY68do1UqnAVrR5qmneP07PXLuCz+oQ6TncOnSQdzcbNR4xKvA38VlLMr3XxY2jVNhE+mgo0PrhzyDJ555mu\/7W3KqWmHdCYWkiX8Y8vIzz2KwdCU1KvejFnIrvb3VWQB0hICAmbi4WKO8kSaksOxeOBCdVo\/R+rFWD\/BvzTPPPctA+8ViaKrh53KBYigPZfibz9J9shtVSj\/3LO7eTSIkxI3Tp1tSpMvhWghm7z5O68ceo1Wr+\/n\/p80TvPhWV\/Zm\/4mPcUc6GU7iTFkyZaVxlJYeZKHl17w82JiS0hQqqtKV5C7wr6tLJzDQWWz7pR6PWFpasBhJUi1sW31yOT9\/9PhD1gAdHn\/iSZ7v1J2IM6nUe0Mavj8FnA6fwKePtycwJQrloiJZQDr+\/ur0iEloGoSopo+PA3fvKtuvWTGGGUQsHMR\/Wr+KrZcvZ0vjKS09wP6VBrTTacNozwBqOUpdWSgmn7fnsx6mZJyKprQ0joydk3m\/\/dtMClWl7V0Oly8fYsYME65dU1f7ThklJbtZunSKig4TIU1wocnntH71E7x2b6S0NIHScztY6fAzOjpv4HlIURCYR9UJX3587BUmLA+m6Sme2Vy7FsO8eeO4dEldEchczp\/\/u8LBh0FO1dUNmHzxEq9+1Ys9aWGUliZwLj8I+wHvoPPGj8RezILb2zDt\/CYfDTckLu8ApaXxnMldiV7Hd+gw0JpTd1XpQiXsm15e9mqMpAi1fC4u1uJpmyqmCUY48P5\/nqSX7RTyz8ZSWhpL9j4nvmr3BJ+NmcINjlF92p8ebz3LZyNsyb8YS+mVCPb46dH+7c9YFqmKkZJNeXkCvr6OopGmDueO8EzHjh3O+fMRjfDPBpIIte\/G48+\/hVvoaq6UJlB6MZxtC3\/nycdeZsqmzdz\/Hj9MpGcA+VSdWEHXds\/ynaE9BRfjKL0aTvD0H2nT5m0C4g48glcW1dWp+Pk5qdFIe\/g7oVGRLuSWKS\/Sy3Pdebf1m8zcEMq1skTKyqJFxHDjVjy37yRTU\/fggP1TkZ5NaWk0fn4zuHMngZYW6WcOTOLzZ95meUw418oO3\/cMbpbHc6cimVoyxEmRSqSfHs89\/SzDPLy52ySviOBJ9vJyEPtZq0ekq85fOJRn\/\/y+PPPiL8SejqOsLLae\/7VYyssTqLibQv1JYw3HSgjjLtB7h\/ajxnFD6QiG4BHZvn1RC3vS5VC+CcN3X2LIzEXcuJbSYOyjuX7jMLfv5FBZspTvXtFBR0eH1q1aoaOj8wDeYVF4OKrkVkIGfn4zxCJP9Yp0VXMra0778f2nLzJ8hT\/XryXdvwbcjKf8TiLVteIZCfdxFHOTd42lQ+v3WZ8dh7IiXSgAk0R6yyOHq1ejmtBwIAOh73Ekq+YO5uPXn0NHpxU6Ov+h\/UcdGOu+gNJ7+dgyLmb4YvHjx7zy7OPo6DxG+7c\/wNDFg+sqFQ7LkMm2MGpUL2qVPgDp7yB0jLG11ePChQOoWnBfe2kTc8078\/pz\/xX5P81H33TEPXg99UXRBZSlOtFG5xWct+6m6eIil+LiHejr96a6WpV3\/FEQGg7o6\/fm6FFVGg4IrVQvZfpi1vV9nnviPwL\/Z1\/i6197sy5ZcVCTnLK8pRj1+Yw3X26Djk4rnm\/7Bl2HGpF0Mknl+XbmzD4mTBhJRYW6ItBZ1NSko6fXh6KiP1G94D6NuEArunzcltbifvDM62+jO3YC8tIMFE0X8iKc+emTdvxXRwedNk\/x8fffM3fTHw9Jo30UhBactrb6KhpUjx7H2toshg79TewY0xh\/GdwKZ5nVz7zd9hlhrFs\/wduffsbkwJVU\/GVOF1J11IsP2z3G0FUNuw1mAWlE\/2HJdx++RpvHdNDR+Q+vvfMhtqv9uPvId0NIE50\/fzwXLx5UYa6q\/p5pTKQHBs7Ezc0G5T2pcuqub2DU268xwiMAIZcsl3pBlkzZrXhRoDacmP883eX06XCMjQeomAf2aP5r1swW011UEc75VJ1aSef322K5bguKI3uFSVUI1UncuJ4gPpPDbJzanWeffI6xKwOouHeCmqr3KniEnJ0tuHFDXS+bkO4jjL9q6T4nwyby\/jMfEZyfQn2P8Hwgn+rKw9yoyOSqbAnDRuuzryie+hc5HwjD4rt2dLdzo0bpamuhN+2yZVPV6klPTQ1WMbcyF+picBv5Ee8Mn0QNJ7l36IL4Dt0sS+TurQNE71vE5lD3+nSwkLkY93qPZzv\/RmDIcvLOJqgwjllUVqYQEDCTwsLtqMcjIicnJ5TAwJnU1CjbpUH4HJVhmHR8iy7W8xDWABn1a0Aa5TeSqK2LIcR9JLYrV1B37\/0S0l1Slw+j7Vu9SL\/WWMHPX\/kLuZXTycxUVyRBQtNQf5hNdrYqh9koUN+6dkOI0L407XgU969BYv\/9qkhiwhcSEjKfhNx9PPoI8odBRmzsKhYsmID6Gg4IYtPIqD8ZGRuawP\/+1rUhG5dz\/Goy98\/pbCpLd7Nr+zIKzv0Tp5SM+Pg1ODoaoO7WrY6OhiQkqNq6WDGuUcTuFVIFN+4L4urdLPF7FNFFOVTGkha1hJAQN8JjN3PnXscw1e4zKekPTEwGot6uUELrYqEltOq96xWta7dvcCMkxI2I9N3Ud8VT7EV5VJzfxq6NDVtcq7ruycjI2ICxcX+1858\/f4IS\/OVAOkcyAoS5vtmb3DPxPPw9zqa2PIKD+71IORHN\/XNeSAErP7OVXZvcCAlZTObRKCWeRy6FhduxsBhMbW3mQ35TXdCYSC9mw4Z5LFgwsZGH9jAIluDWOd3Reflz\/BL2oiiAuX1hPYY\/v0NHq+ncuC9nSj0i\/dixnYwYoatib95HoYDo6ABWrJhOfScS5e4FDuM1+kv+264re7JjEIR6MWVFyxjU4Q0GTfcC5ER7D6DN068wbdtWhGIJRbGMIh9Nef4lJXsYMaIn1dXqOpRDKJxduVKVAijxxbu+jdE\/vEL7HmPIvpSJ4qCmwv1T6PDG28wM20P1uQC+\/u\/jdDR35jpHxXmSTeKKkbzw8uesTVOl561QALZwoa0YYlNPv2O5fLOK3Y2EDUS+2YJndV7Gzn8tlRwRuN0+gK\/ht7z7\/XAKbslQ9LcVIJyUGDTlB14zmIiiN7TyJycKhZNCKzl15dYKhq\/Q71iV7j5CNCV+yWCea\/MWC8O2ilyPUVv2J1MGfsJXQ8ZTVp3FBodv0XnmM7bnx4nP4CgV5\/5gVNePGe6xTGzVqNy6U16egI+PgxojKRKaDjlLl05h796lNE38NTwE7lEHgeVSv142xTDNY82aWYSF+Tbx841\/7+rVs9i1a0kT+Tc8BE7Rprbhv6dzfyRS2XXir+O0caM727cvauJ9Nv6927cvElsiN8VgFlMfOSrOg4etvQ3\/RlXjrOF9Lmb9+nlNvM\/GIGPPHh\/Wrp3TxO9teAjcURoX0A0PimuKY05OWJgPa9fOVjv\/nTuX4OPjyN8bv9kIDqyHHXjXEIqC6SM8fG988OA85U5cjYryx8Njopr5\/3WuakikC55E1QpghIGvuf4n04Z04PG2b9L9ty7o6nai0+dv0PYTXfbKYx54gIJIDxzyAa990JejVU154eSkpgZjZqawiNXxYIV+rytWTG+C8JVTcS4IvZ\/f4eV279Jdtyu6uh355oNX+fSnQSRdzKby5Eq+\/48OOjpP063XT\/Tu+cO9dmO6up0ZOGMWF2qUPapZTmZmCIaG\/aitbcrJkA+fwMXFO1i5crqYW6osf0GonkuYS\/cPn6fdx5+iq9sN3V++4YPXX+EnPXvOlwvRlfxwOz5+vz3f\/dQRXd2u9OrxLR+27cB0P8WxwMq\/BKdOhWNuPlisSVBHJCGXCxci8PCYqGIoMBdqYgmc1oMnHn+Z77t3RFf3B37q9AHtXvuYRXu3UfcXQZANpOBp9gn\/6WtMmcopT0LhsIXFYBUOEPn777x+PQYnJ7MmdMyRQcV+Fo36lhdefo3OYputLt+8zXOfdiQgfh9QRE3pVmYM\/Yy3PvucXj27otuzKz9++zbf6I\/l5B1VTo4U8kBnzjTj+vUYFe9VgvohJyrKn8mT9Wm6gNI0sqiqSsfcfJBYbKzek4pjYgIZN24EyndGa24IXTDGjRtBdnao2vlnZW3AxmY4ijMTWp7vw+9z8uTRYmcT9fLPzg7FxGQA1dXCXGt5rg8b\/zzs7Q00cAiijJycjejr96amRtloaEsgD3f38Rw65Kdm\/g9CYyJdaKUzZ45VE\/KV5FATRcSa8QzX7YSu7k9MXzSfE9fT+KuFI+QUxS63YPJ0Zy7WNEVkyjh4cCWBgc6oT6QLG\/+MGaZcvRqlIn\/hGdTe3M\/25Wb00u2Eru4vuKzx5dJtIafwqnwpRqN0GTn8V\/r06nyfQFddpMs4dMgPX19H1GcR5lBaGoWDgwGXLh1ENeEjhCdvnt\/EcocBYq\/bQawNX8+de3mlQrHo5YLVuE7sha5uJ\/RMrdifs7cJYygnOXkd5uaDUV\/YLovq6nTGjOlLcfEOVD\/MKoXs\/S6YDBeMVNPpDqSeiGuEm3BAxf611lh4L6Rc5Y1dRlbWRrFPvrpEgZC2oK\/fh5wcVQ5zqh8Tag+TsG0qw3t1Qle3E+ZzZ1N4OaHBd8mgKpID6+3Q69MJ3T698Ajx51pNNqq9bzJkss3o6\/cW56m2ioL\/L8jhypVDTJ48WjTwtDGykU9WVgiurmOprExFvb31c7h6NZJx40aILUE1KQCaCjlHjuzA2dmc27dVSa1TBkJkz9HRkKNHd6Cd3ZaEc0AcHQ24eVPZ2hfl+d++nYiDgwE5OaFoZ\/qdjPPnI5g4UY+rV1WtHfl7\/pWVacycaUZSUhDqSyVTJ3K4di0WM7OBaow+NwaNifQsqqrSMDDoS0HBNpqWW9Wwj+ffHfddSNMncz7Llk3lwIEVTbjPxpAJ5GJg0JfMzKbkFmZQn4useAZ51IcnG4ZqHwZVFrY8AgOdCQ9Xd9hWjqFhP5KT\/1DxfhTPT44Qkj1CfZFgQwGVJf6\/YvFvClG+3eP99xkevpTVq2c14T4fPa9cXKyJj1\/ThOeajTDnFeNZwN8vhAUo8vRU5b9\/\/zL8\/JxQ74aQj6enHfv3L2\/ic80ROSmeQf5DnkFug79p+I6oxj8iYjmLF09SM38JTYPgpVu40FY8BVlT\/Yf\/yf3ls3SpI+vXu6H+kwYF\/osWTSIwcCbK13Q1J\/9Cli6dwooV0zTAPwMoZPnyqXh726NaTVdz8S9i2bKpLFlipyH+h51PWgAAIABJREFUwve7u4\/XwvHPAIpZs2Y2ixYp1kx1318RgYHODeo9tI1\/ESEhbsybZ4Pmo10aE+kZQD4eHrbs27cM7bSGMxCqqTOxth5Gfv5W1GsRyVm9ehY7dniivZt\/JnV1WVhaDkEu36xm\/kJuZdNzC5sLecycaU58\/GrUbaTs2uWFj48D2ukNUCAfZ2dzDYTthMI6oXhYu8ff1dWaiIgVaO869f8N+WRnb8TKaijl5QloVwqSjNOnwzEy6sf586p2YFEWcoqK\/sTaeijXr6vbU\/tPkcvly4cYO3aYWMOhCU+\/jBMn9mBtPUyMRGtTNCWXK1eiMDUdyJEjmvL0yzhzZj8GBr9z+rQqbRGbAzncvBnP+PEjRQesJtb2XK5cicTUdIDYzEGb+GdTXZ3OtGnG4km7mt7bNSrS5cTGrsLR0RDt3fzyycrawNy5Y6mqaurxyI1BRkrKOiZMGEXTPLzNgTzy8rbg5GSmgSPRZaSnr8fGZgTam0YgLAYTJ+o1IS3n7\/nLZJsZNaon1dWK7iMtzfdB5HD9eiw2NsPV2Ou3\/tmeO7ePiRNHqVg82pwQikbNzQdy4sQeNfOX0HQIXU4mTx5NaKg7qHz2gyZRgI+PA56ek9HsBp3HnDnWYjRBE97apvMPCnIRC+Y0y9\/FxQp\/fyet47927WzxDBBN8i9gyRI7MQ1Vu\/hv2jQfJycz1NvV5UHk4+k5WSwg1aZoSj5hYb7MmWNF89SMaFSk51BWFo219VBOntQ2a0iBQry87PDzm476w0o5lJfHM2GCwuLURm+qELYUvL3qfhGE3LqpU42RyTahnd7UYoKC5ohhK3WH7bKpqkpnxgxToqP90S6hoUARW7YsYO5ca9RvSArHlbu7jycszEdL+Reye7eX6O1veJKxhJaHnMLC7ejp9eLy5Ui0Y\/\/Ip7BwO5aWQ8Q+7po06oS87xEjdLl48RDa4ejK5+TJcPT0eqnx4LvGIOPs2X0MG\/YbJSVhaMf+KefixYPo6\/dR4+nMjSGXy5cjsbQcTGHhn1rCX8bly5Ho6\/fWYBRBgRzKyuIwMekvpgxrg6GSy+3biRga9hPvqTneSY2K9AygAE\/PySxbNhUht1BbrCFhEly9GsWkSfqcPr0XzbxwhSxbNpX587Uxt0wwoiZMGMHx4\/\/kUItHj\/\/69XM1ZAT8U2Rz924qdnZjOHx4NZpZBAvZutUDZ2cLtK9TQzaVlemMHz+SyMiVaEZEF3DgwApmzjTXwkr9LGprs5gxw1SsR9GGTUBCPYTc78BApwZeq5acP9nU1GQybZqxaHRqWjQJ\/NeunY2Tkyktb0RmU1eXzdSpxmzaNL8Z+GcgeG3dmTbNWOTfktE4wekwfboJwcHNFd3IZ\/dubxwcxlBTk0nLpj0JDR1mz7YQ2y42x35eyPbti7CyGipGo1uSv9C0w9V1rFi\/1Fy58hoX6XKOHt2JickArlzRttyyQoKD57JgwXg098LJOHfuAGPG\/K5BQ6CpKGD9elfc3MaiubBVLqWlMdjZjaakZI\/W8Y+JCRBbnWmq1Vc2d+6k4OBgQGHhNrTDG3Y\/fxub4dTVqevExAeRRV1dFhMmjBLz97QpmpJHUlIQEyaMEvlrkwEhQUAOd+6kYGo6gM2bF9Byhn4WkI+Pjz1z546l+QRzDlVVaVhaDmbjRkXaT0vwVxRLTsHKaqh4wmpz8BcMaWvrYSxbNqWF+ReyYcM8LC2HUFmZRvMIRqGL2aRJeixebIsgDFtinRIE6qZN7lhYDKaqStF3vDn45+DiYoWnp6JItaXW6SJ27\/ZhzJg+XL8e30z8M2gGkZ4B5LF48SSxElxbQt4yLlw4hI3NcFE8atJ4KGDpUkfmzRuH9niTZVy6FImxcX+xRaAmxXMBwcFzxZQSbanUVmz+g0hODkKz4rGAnTs9sbcfg\/b0fc6mujoDC4vBxMQEaph\/ntj3ebgWiWGhYNzCYjDR0QFoRyhZwsORx\/HjuzEw6EtaWjDN3+1FEGjh4b6YmPSntDSG5nU2yTl7NgI9vV7iXG0Z\/vv3L8fYuD+XLh2ieZ0tMi5ePISBQV\/27vWlZYR6ETExgRgb9+PChYM0r7Mll2vXYjEw6MuePd60TEZC4b02vULqcvPyLys7zMiRPcUmFMUtwj8jYyMmJv0pLt5J8zqbmkWk53L1agxGRv1ITw+h5YW60Lpv5kxzVq7URC76g8jh+vV4TEwGkJgYpCX8C3BzsxFbSGlaOGdz82Yi5uaDOHjQj5ZvqSZ4hVavnsWcOZYIG64mhWM2lZUZ2NrqsXu3l5bwL2T9elecnS2orc3WMP8sqqszmTnTTNxkWnr+C\/w3bZrP1KlGYhhZGwwHCY0jn6ysUIyM+pGRsZHmE2r\/x955hkV1tGH4KDbsvUSTWBKjaX5qNBpNNMHeIlYEVCQK9t5LbCCW2BuW2LB3pVhQsSLIwtIWNKBYkmhiQLCggnB\/P84udakubDs\/nitXYF3Oc2bemfvMvPOeACAcV9e1WFp25v59D7TzQKfA338\/9vZ98fffT+Et9og7CDdu7GDw4O6Ehh5FO2lhYYSGHqVPnx\/x8FivbP\/CiFlxrpDLDzByZF8CAg5orf0jIk4zYEBH3NzWFbp\/mWwvQ4Z0V77zQhv+Q3nw4CxDhvTA1XUtqW\/LLQz\/4cjlB+jT50euXNlG4ff\/QoF0GaqVCBubnjx\/7o120x5uc+rUSkaP7sfr17conDy3cLy8nLGw6MTTp5fRbtpDOJ6eGxkzpj+vXnlTONs2YVy+vA0rq648fqztQ2C3uX59O\/36mSlTsArjWsLw999H167fcfeuK9pN+whDLt+PufmPPHrkQeH0xVDu3TtN\/\/4dUCi0fYhaQXDwQfr2\/YmoKNdC8i9JE+3m5bWF4cN\/xtPTGRFUCnLsDgIUHD26HAuLjloEFJXCCAo6hI1Nd9zdVaBSkGN3IHAbN7c1WFl1ISjooNb9BwYeZMAAM44dW07u3h3x\/v5dXddha9uT4OBDaPfcioKgoEMMHtxNmfoVSsHu6MgRUyK3M2pUX7y8tmq5\/RVERp5i9Oh+uLgsRhy3C9J\/AHAbH5899O9vxpkzqnNLhb2KX2iQLuY0LVs2jilTrHj3To52DgGEExR0kO7d2xIcfJjCgyXxENCGDdOZPn0ISUmBWvOvUByhS5fvlCsyhev\/99\/nMX36YOXqrTbOJ4Ty6NFZzM1\/VG4dF+agG86hQ06MHTuA2Ni0b84sTCn45x9PrK27cuHCJgp30A3j9OlV2NmZ8\/z5dbQDxyHExV3ll1964eq6qpDbX9L7K5yAgEMMHtyVjRtnkpwsR\/MpZOJYFR9\/i4ULR2Jl1UWLK+gZFUZQ0BFsbXuxcuUk3r71Q\/M7oaL\/N2\/8+O23SYwa1ZewsOM64l\/B7dsn6dfPDAeHMbx9Kysg\/6EkJMhYvXoKtra9CAo6gm6MFWHcv3+GQYM6MW\/eCF6+9EHzeeqi\/+RkOZs2zWTw4K4EBh5C+zugov9Hj84xaFBnZs+2VfoPKxD\/EMSWLXOxtu6Kj48L2ktVLjRIlwGBvHrly7BhvVi+fAIF\/yScuYGjojwYPLi78qmosDudnISEAKZNs2bGjKFK74UJqgru3z+LtXU33NzWasX\/27dy5syxZcaMIUrvhek\/lLi4G4wbN1BLh7DENKvly8czb95wZX52YYJ6CLGxN5g0yZLt2+dR+OcDxMnf2Xk2Y8b058ULbwoX1EN48eIGkyZZsWPHr8q\/LaW56J\/CePToPJMnWzFlilWaxYb3hXWxf4KCy5d\/Z+TIvsyaZcuzZ9fQrQPPYTx+fJEJEwZhb2+On98+5XVrwn8ooMDX14Vx4wYwe7Yt\/\/7rhW4AukoKnj69zOzZtowdOwBv790a9h+Kv\/9+Jk2yZNIkS548uahj\/kN59uwac+cOx96+D15eqjdaawIiQ1Ht2EyZYsWECRY8fHgW3er\/ITx\/foNFi0Yxdmx\/zp\/frEH\/IUA4oaFHmTfvF8aM6c+9e25o9yxdoUK6DAjm1aub2Nv3wdFxDMnJgRQ8qIh5RVFRbowa1VdZbk1bp8SDefnSGxubHsyYMZSEhMIANdH\/o0dnsLTsonw5hvb8v3p1ExubHkydOpg3b2SF5D+Mv\/46x6RJg5SAri1ACyQ52Z8VKyYwf\/5wnj+\/QcEPgCJ8\/POPF9OnD2Hbtrlo75S8WEZt0SJ7xozpr0x9K4wJUEFs7A3GjOmnPMCt7XJukt5P4lb3oUPLsLTswoIFIwkJUVVPUqUB5FSxSHUWIUj5b4KRyfYze7at8pDiegp+Sz2\/CgaCOHbsN6ysujB\/vmb8h4QcYf58e4YO7a7MfQ5BtypypfUfgqvrWoYM6cb8+SMJCjqs\/Hl+\/Yek+Ley6sqJE6uUv9Nd\/+fPb2Lw4K5MmmTNzZu7lT9XKP+bU8WyjP5DUSiO4+AwGguLzhw8uBTVwpL2\/WaUmIp24YIzVlZdmDTJips395C2L+fNfwgQwt27rixfPgELi064uDgoF9K07b\/QIV3sYHFx3tja9mLCBAvl1ndBreoGAuGcO7cJc\/P2nDu3Ee1XWAnm+XNvZs60Yfr0wTx5coGCO7Et5tV5eW2jb98fOXZsBdpfQQzmxQsfZs0axpQpVgXsXw6E4+u7DyurLmzbNg8xiLUJaEG8eydn8eJRjBjRmwcPzlBwB2HkiAefDmJj04OdOxfogP9A3r0LYMOGGYwa1Zfbt09ScAehxPYPCTmKnZ05mzfPUqbaSYCu\/xIPNcbGXmXr1rnY2PRk6lRr3N3X8eCBG2\/e+CD29TtARAbdAUJ4\/fomUVGnOX58JaNH98fOzpzt2+cpz+roSiWqnP1v2zYPOztzpk0bjIfHeh48cOP165uIY332\/u\/fd+Ps2Q1Mnz4EOztztm2bq5yTtVXuL2\/+nz+\/zrZt8xgxojdjxgzA1XUtUVGnc+E\/lDdvfHjwwA139\/VMnWqNjU1Ptm2bS2zsVT3wr0rLucWBA0sYNqwXY8YM4NixFdy+fUzZh0MQ55a0vv\/I5N\/DYx3Tpg1h2LBebNgwnejoK3rm35Fhw3oxalQ\/jh7Nvf\/ExFs8euTBpUtbmDFjKMOG9eK33yby+LEnIifqwjyhFUiXAcG8eydjxYoJ2Nj0VFY9CUNzL3yRAwpevfJh06ZZ9Ov3Ezdu7EL7gJ7qH+T8\/vs8rKy64Ompyg\/WVL1ycQCLj\/dl06ZZ9O7dDk\/PLRTeqejc+v+VIUO6c\/78RlRPs5r0n5QUwJ49i+jdux2uruvQnYFH3EHas8cBK6sunDq1qsD879\/vSN++P3Ly5Grl9+vCwBMIhHL48HK6dWvD8eMrUK0OaaZ9AlDlVZ4+vZo+fdpz+PByZftr84UYkjQvcSHm2bPLnD27gZkzh2Jr2wsHh9E4OIxm\/frpbNkyh927F7Jr1wK2bJnDmjVTcHIay4oVExk+vDfz54\/gypWtvHhxFfGBMWMfCVD+PAjw0wHPmf3Hxl7mwoXNzJxpg62tCBtOTmNZs2YKW7bMYdeuBSn+16+fns7\/woX2XLu2nbi4y1n4DyT1oK5u+o+Lu8yVK9uYP9+O4cN7p\/E\/Vdn+C9i9e2GKf1X\/sLXtlfJCs2fPsvIvU7Z9YVVVyYvEhZiXL29w7dp25s8fQZ8+P7F48SgcHEaxevXkFP\/Hj69g+\/Z5Kf4dHUczbFhPpk8fyrlzG5X+w1C\/exSGbqW9qPe\/YIEd\/fqZsWhRev+7di3g2LFU\/0uWjGX16smMHt2fmTOHcubMev79VwXnGXdPtBn\/WoN0VXCF4em5iSFDurFokb2yZrmYF5e\/YBBXjt++vYWnpzO2tr2YN2+EMq9OVwA9bedScOXKNuWkMpKwsKOo8sLex39ioh+ens4paSWPHp1H9954Kvr39t7J8OG9WbTIXuk\/5D39h5OcLOfKle3Y2vZixgwb7t8\/o4PtL54e9\/NzYfjw3kyaZKl8\/bMqvy4\/MK2aTAPx9t7F8OE\/M368BZGRrjroX0zDCgo6yLhxAxk7doDygJJqMsyPf3HABjm+vnuwt+\/DlCnW\/PHHKR30L0mzCkSV7vHixVX8\/fexZ88inJzGsnTpeNq1a06HDi1ZtmwCS5eOY98+BxSKI8THq1LOsnqADQT8OL9pNIt+dyZR594crN5\/aOgR9u1zYOnScSxbNgEzs5aYmYn+nZzGZvCvWiBQB6fBwHk2zRrO7+4n0c30n7T+Q4iPv4FCkd7\/Tz+1oF275ixdOh4np7G4uCzC33+f8sFM1f5ZPcAr4OUJls+05ajsXDaf06bkKe3\/5o03CsUR9u93ZMWKCSn+e\/T4nhUrJqX4DwjYx\/PnVzO0f8a+LS543D07i9EL5\/FXYkG9+E9T\/hW8fXsTheJwJv89e4r+HRxGs2fPQvz99xEXdyXlvqn3L8b\/Wa3Fv1YhXYYqX\/jFi2usXDkZK6surFgxET+\/vSQnK4ODYFQ5eGJDqCqjqCqEqFbgQoiO9uLQISfGj7fA3r4PN27sRHfzylL9x8ffYOfOhYwY0Zu5c3\/hypXfU36Xe\/+hPH9+laNHlzNu3EDs7My5eHELqYOXtr1mpTBev\/ZO8T979jAuXdpCcrIfqYNn7vy\/fHmdU6dWMWOGDYMHd+P06TVpKkBo22dWUvD27S12716EnZ05c+b8wsWLziQm+pK6u5J7\/25ua5g40QprazGvUqwDrtv+372TcfjwciZOHMSMGTacO7eRt29v5rH9Fbx5cxN393VMnmyNtXU3jh79jcREVT\/Stk9JhSdVzN9BfOD7ix075rNz53zgL+XPxJSP7B8GxXSpP6\/PpXFxgW9GziNB5xY7srpuVaqH6H\/nzvz4DwYCue7cn+JCCUau3oNuHaLMrf+\/+f33eezYkdF\/blL\/QoFbHJ\/\/IyaCKQs9XNFdnlDn\/3aKf7FgwJ9q\/GfVn8WFpNd\/7qRnY1OEb\/oSmRCM7u0m5Ox\/x45flQUD8uJfLEP55\/U5NC4m0GLUryQU+mKP1iFdpUBAwd9\/n8PFZTHTpg1myJDubNkyF0\/PTYSGHubPP8\/w4sVVYmMvExt7mWfPLhMV5cqtW3s4fXo1s2cPw96+DwsX2infoqgaqDN2KAW6N9CIq8qxsVfYvn0es2bZYmnZhSVLxnHhguj\/0aMzPH9+JZ3\/+\/dd8fHZjavrGubO\/YUxYwYwf76d8nBsgBr\/acFfl7YtU\/3v3Dmf6dOHYmHRiSVLxnLxorPSv0c6\/7GxV3j40A1f3124u69l8eJRDBvWk3nzRnDmzHrevbtF5h0Z1baVrm3bioNBXNw19u93YNq0IQwY0BEnp3FcuuRMUNCBLP37+blw9ux6Fi60Z9iwnsyZ8wtHjizn7VtfMu9I+KG5k\/CalPiCrTdvbnLkyDLmz7fHzq4PTk7j8fTcREDAvkz+4+Ku8PChO3L5Pjw81rFgwUhGjBAfco4eXZaFfxm6Gf+SCk7+QARbtsxhy5Y5iLmpuen74oPf\/WsLaFXLBEEQ6DZrCYk6FzsF5V\/0eW37UGoJAoJQkVnbD6B\/D7z+QCSbN8\/Ko39xpw+8cVv+M6aCgFD0A9Zcckf3IT2j8urfD3EB5A6vonZg1ao6giBQrpsN9xP1AdIz+3d2nq0smpCX+A8j6up8WtYU47\/7bCcSC\/2sis5AeuoFiSvL3gQFHcDVdTXz5g1n0KAuDB9uzpYts7Gy6oqVVVdWrpyIpWUXhg3rxcaNM7l8eSt\/\/umR8h2ZO5I\/EEz8X4c4e9mFuHc5nf7WhsR0hcTEWwQHH+T48RX8+usIrKy6YmPTk40bp6f4X7FiAlZWXRk8uDvLlo3n4kVn5ctpsvMv56\/Q3VyWneSdTuQmq\/N\/m3fvRP8nT67E0XEMVlZd+eWX3mzYMB1Lyy5YWnZl7dqp2Nj0xMqqK8uWTeDiRWdlupS4+pV5hSQA8CX0ynZkdy6q+b0uSGz\/d+\/8UCgO4+q6GgeH0bnwP54zZ9YRGXkyG\/8yIBjiz3Hl7A7+jPNF9\/q\/6toDiIw8yZkz63B0HIO1dTeGD0\/1b23dldWrJzN0aA8GD+6Gg8No3N3X5uA\/Nf7PXN5LXJIuxr+kgtEfODvPxtl5Nrmbw+QkPDvLgRUWNC5TlBr1PqKmiQmdZzroIaTn1b84TzyL2s+KcWaUKWpKvc\/qYCJUY+bWwny3hiYVwaZNM\/PQ\/mLljyd\/7GS29TeUKlWWBvVqYVrsA1bqJaTn1b8c3l7j2oGJ\/NioPOVr1KZejZKU6TxETyE9gs2bZ7F165xc+3\/77AwHllvQqIwJNep\/RA0TE7rMcpQgPV0nSbONDzJiYy\/z+PFVnJzGsnjxKJ4+9ebNG2\/Sl91Rl1OkUigke7GkXz2E5j9z521Bvw7+faQqzSiu5kBAJv\/\/\/ntDmU+oKjuVk\/9wkv\/bQ78G5Wg+fBZvdXqyyez\/+fOrPH58FUfHMSxePIp\/\/rnOq1fXUR1CTE2JUNem4uuN\/\/P\/lQYlKjN8xS50ezU1P\/5V5eKy6tPiYV1Xx06UEJpw6s5NdPNBReVflcoiHvZ88SLVv6PjaB4\/vqrMJw0kNS0oO\/8KSL6EY996CM3NdTz+JWlWeYFUse8F7rKhvFCErhNmESpfT2eT4rSbssgIIF0O+LJrRmsEoQYTNm5GfmEyJkJlpmzah3FAehDgxYqfP0Mwrcv84zu5vnkI1YRKLDV4SBd32+PkjnxZXuDjroPwCT3IzM5VKdLOiiiDh3Qx\/uU7h1JWKELXibNQBK6jc7EStJ+6WIL07G9cIBDFjh2\/Krct7pNzLUxVpwsHrrNjlhmCIFCi4xDuJerTJP0+\/gOAO\/D8BLP6NEQQBDpOX6xnk42\/0msU27fPUwZbbv0HAneIC19Pn0blEISyTN+yH92GdE36l6GqHeyzw5aPBQGhRBsu3PNBdyE9e\/9ibmVULv0r4z\/5Gr\/P+AlBECjZaSj3EvQp\/iW9n\/K6knyLMO+NHD93gCTuwt\/O\/CCYGAmkB0DSNbzPL+Nc4Fkgir+vTEQQKhkRpMsh6QIeR1ZyK\/wSEEGwsyXlhYpGAumBPFXs4sTxTTxNCgfOM+WHighGAeli\/CtubOT4uYPp4l+C9FzpD7ZuncPmzbMQc4ty82\/kvHh0iOUjW1JMEDApVoRyXYbqGaTn178\/4M8j+UZGtq2FIAgUK1KELjP0e9t206aZufQfAIk3kZ+ZR5s65RCEIhQRqjJD7yA9v\/5lgJx3L85yYFkfqhcrgmBSlOLlftAzSE\/vP\/eTrej\/xcNDLLNPE\/9dbSRINyrlp9+k7mQl3NtgRJAuI+2r0UHBvQvjjQzS094DcYdOtmEQFYwC0lVKfckRCW5MMhpIVylz\/EuQnivlFVJDSXi4hc71iyNUrs\/iTQsZ9WMVTNpb6ukknRf\/\/kAID8\/NoH4Jgcqft2XTrhn8WLwE7Scv1MIpZc34zz2kijnHZ9f8TAlB4Iueg9nlbENxoSqTN+7FOCA9GBLcmNy5DoJQkREOc5hr3wLB5FsjgXQFCQ+c6VivGEKVBjhuXoR9+yqY\/Gilp\/EvKX\/KD6SrFGqEkJ5WxgrpKonpD8YH6SoFGymkqxQqQXrelFdIDeYf39+YPMqa48FegBezzSoj\/DBITyfpvPgXvfkens6oieMJfiKH\/3ZgJpjww6QFRgDpcki6yqH1Q5no5MSTN3f4z3c6glCJSRuMBdJDSX7iwozJFqw7Lr42e+es1ghCCyOAdPEh9UmG+J\/1U2WEH\/T1IV1SwfebjJIgXYJ0CdIlSJcgPZfKe7rLuwRfxKC6A+\/cmdq+kpFAugzwIyGlFOEd3kVtpL3RQLoMuKUsxRgG3Cbq4kQjg3R\/eOdLUspLfnzYOKWlkUC6qNT4vw3v3JnSrpIE6UYnCdIlSJcgXYJ0CdILQfnJSQ8gpVpGorFBusq\/mF+XaHSQrvIvAxREXTI2SJehKicmArkPm4wM0lPjPwgSJUg3TkmQLkG6BOkSpEuQXgjKD6Sm6WxGCempnc04IV0lY4V0lYwV0lWSIN14JUG6BOkSpEuQLkF6IUiCdAnSJUiXIF2CdEl5kQTpEqRLkC5BugTphSAJ0iVIlyBdgnQJ0iXlRe8J6XfX01oQ+G7CAqOE9LvnxyIIZZmwfi\/GCul+awdgKpTB8YIbxgfproxrXQbhOwvuGSOkK+O\/zcSFEqTnLAnSJUiXIF2CdAnSJeVF79NvQki470yPypXoMc9JC5O0tv2Hcv\/KNCpX\/oh5vx9ErB2tbT951ftDeuD2YdSt\/CFrrp3B+CDdgzk9PqRyj194YHSQnhr\/PX9dSiKhSJCerSRIlyBdgnQJ0iVIl5QXvU+\/8YckH57HePE8\/ib6N2a+v\/+kRG9iYi4T\/8ZXT\/2\/D6SKevfmOs9iLvM68ZYO+Cls\/7eIf36ZmOc3SNK6l\/z5zz+kp8b\/C63EvwTpWvZTmP4lSJcgXYJ0CdKNUe\/Tb2SI46Q+95f39a+sjqR384VK7w\/p4lipr\/fgff2r+r++zRep\/vMP6Wn9ayP+jQ7SXRnTvBhCU3Mi9XKSfh\/\/ChLvrqW5INDUfg4JhKN\/A877QGoYd8+PRhCKYb9yN2LtdG37KUz\/IqSvHv0lgvAFZyKNEdJdGd2sGELTPnoa\/5Lyp\/eFVH2XsfvXBKTrsyT\/7wfp2pRRQXoAJF8n0Gslhy\/t42WSqn64thuhsPzLSX55Hq\/Dy7gkd1W+4EbbfvLu\/30g9eU\/xzh8eCXyCC\/0D1Df178\/4Edk4FYOH97CPy\/90Mf+n3\/YSBv\/+\/U0\/iXlT8YOqcbuX4JUY\/cvQXqh6X0gVYa4cnYH\/Tyh\/r7+\/YBA5b8LUv6\/tv3k3X\/+IdUP8dDTHURANzb\/KoUrpW0v+ff\/ftv2+hz\/kvInY4dUY\/cvQaqx+5cgvdD0vpCu75L8vz+k6rMk\/8YNG5LyJ2PvN8buX4JUY\/cvQXqhSYJUY\/cvQark33gnG0n5k7H3G2P3L0GqsfuXIL3QJEF8mAfrAAAgAElEQVSqsfuXIFXyb7yTjaT8ydj7jbH7lyDV2P1LkF5okiDV2P1LkCr5N97JRlL+ZOz9xtj9S5Bq7P4lSC80SZBq7P4lSJX8G+9kIyl\/MvZ+Y+z+JUg1dv8SpBeaJEg1dv8SpEr+jXeykZQ\/GXu\/MXb\/EqQau38J0gtNEqQau38JUiX\/xjvZSMqfjL3fGLt\/CVKN3b8E6YUmCVKN3b8EqZJ\/451sJOVPxt5vjN2\/BKnG7l+C9EKTBKnG7l+CVMm\/8U42kvKnSLZuncvWrXOBSB24Hsl\/4eouzs6zJf8p\/o3tTct32bJlDtu3z9ND\/xKk65kk\/xKkSv4lSJeUvQKAYCAMuA1Epek39xHfOqtQfkafJuy8+leo8R+l\/Jkh+\/fP4P8+mzfPNFL\/d4AHbNo0ky1b5gD3lP7DEN\/AHaAD11vw\/sWV9Ll66F+CdD2T5F+CVMm\/BOmSspY\/r197Exl5kv37HRk1qh+9e7ejceN6NG5cD3Pz9kydOoSTJ1fy8KE7b9\/6Ylig5s+bNzeJjDzJ0aPLGDOmfzr\/vXu3Y8yY\/hw9upzIyJMG6T8hwTfF\/+jR2ftPSDBE\/7d48MCNkydXMnXqEMzNf6RRo7o0blyPn3\/+gQEDOrJz5wLCw4\/y+rW3Afr35eFDN9zd1zJt2hDMzdvTuHFdPv+8vhr\/N3XcvwTpeibJvwSpkn8J0iVlLQV79zpQpowpgiBkKROTolSsWJ5r17Yjrqhp+7o15\/\/w4aWUKWNK0aJFsvRftGgRKlQoy\/nzG4FQHbhuzfn38FhH+fJlcvRfvnxZzp5db2D+Q7l8eQsVK5ajaNGi2cZA6dKllKvrYTpw3ZpSCN7eO6hUqTzFipnk6H\/9+mmIK+66Cup6Aen+QJDyRv7Dvn0O7NmzCPgHcXCV68CNLAz\/ocATo\/fv4rKY3bsXpvEfiO4GmKb8B0r+0\/h3cVkMPFH+zND9S8qbQvH13U2RIlkDmkoffVSTP\/\/0QBxftH3dmlIIMtneHAFFEARMTUsSHn4Ew3pICSEk5CAlShTP0X\/JkiVQKA4ZnP\/IyJOULl0qR\/+CIHDhwiYM6yEliL\/\/PstHH9XMlf8zZ9YhsqW2rztrPzoO6SFAKLGxlwkKOsiJExuxs+vD8OG9OXv2dx498iAhwQfxSVDXc4vyIzGv6vnzq4SFHcXV1TkL\/+EYHqz7qfU\/YoQ5w4f3xsNjG\/funeLt25vK9g\/UgWsuCP9hvHx5jbCwI0boPwgIJz7+OnfvnsLDYxsjRpgzYoQ5Hh7buHv3FPHx1xH7f5Dy32j7uiVpV3ISE\/3o1atdjhP0lCmDEQHFkOaOAJKTA7Cw6JSjfzs7c8Rxw7D8QyBDh\/bI0f+QIT0M1H8IY8YMyNF\/+\/bNlfxgSOzgDyiYNWtYjv6\/\/76pMt1Hl\/3rLKT7A3LOnt1A797taNnyC2rUqJzpJjdqVJd27Zozb95w\/vnnvI7f7Lz6D+Dq1e3Y2ZnTqtWX1K5dPUv\/c+bY8uCBO4YFasF4e+9i+PDeWfpv0KAOP\/zQlClTrImIOGlw\/n18dmNnZ07r1l\/n6P+PP04YmP8g5PL9jBzZlzZtmlC\/fu1M\/uvXr02bNk2YNMmKoKCDGNaKqKT86w67di3IdjW9YsVyeHvvQHzA0\/b1alrhnDixAhOTrNMdypQxxdNzo8H69\/TcmO1qsomJCa6uqxEPEWr7ejXv\/+LFzZialswWUsW0WcP07+e3m0qVymfrf+3aqYj9X5d3YnUa0sOYP39ErrYsSpYswe3bRxFXHrV9UzWlMNatm5ZL\/8UJCTmIYW3bhbNp08xc+RcEgRs3fsewtu3C2LVrQa79X7681cD8K\/DwWJtr\/+7ua9HtbUtJhadg\/vvvIp9\/Xj\/L\/tK27f9ISgrAcBZ20iqIZ88u8+WXDbL0\/803nxMf74NhPdirFEh8vA\/ffPN5lv6bNWvEixc3MMwHezmJiTK6dGmdpf\/69evw6JE7hjVnpPpPSgqga9fvsvT\/0Uc1iYo6rQf+dRbSZYi5ZYdylVtladmF5GQ5hrVtFUJk5AnKly+To\/\/+\/Tvw7p3YObV\/3ZpSMA8fulOxYrkc\/ZuZtVCe0jakCSeIJ0\/O8cknH+bov23b\/ym37QzJfyBxcVdo2vSzHP03adKQ2NjLGOaEKyl\/Cmfu3F+y7DPr1k3DMFeRU\/0vXjwqS\/8rVkwweP8rVozP0r+T01gMcxU51f\/OnfOz9D9qVD90+8Dk+\/vfu9chS\/92dn3Qj1Q3nYZ0cZXD0rJzthN0qVIlOH16FYYXcGJunb19n2z9m5iYcOiQk9K\/IQWcmFs3YYJltv6LFCmCi8siA\/Qv5tbNmWObI6SK1V50fdsuP\/7DcXIak6N\/J6cxBuhf0vsplPDwo2of8mvWrMrjx2cxrJ3XjAohIuJEFv6r8PChm4H7D+bBA1eqV8+cJluxYjkiIk5gWDvPGRXE48fnqFMnc5pk0aJF8fHZhWHvPAYRHX2RevU+UMsM169v1xP\/Og3pMiCcU6dWYmKS9Un11q2\/5s0bQ1tFTfV\/6dLmbMuJ\/e9\/DYmLu4JhDrjh3Ly5kwoVymbp\/7PPPubp04sG618mc6FKlQpZ+v\/ww5rK8wi6vm2XHylQKA5Tq1bVLP3XqlUVheIw+jHgSio8yUlO9ld7gHLcuIHox4tM3kfiIs\/gwd0z+R85si\/ieGno\/oOxs8u8yDVkSHcM78BoRvkDIcyYMTST\/44dv1XWhzdEZkrrP1TtIpd4YFZf\/Os8pAfx7NlVmjRpmOUknZr8r+2bWRAKJCFBxnfffZ2l\/\/nz7QzYv5ykJH+6dWubpf\/x4wdheLsoaf3L6dHj+yz9Dx\/eG7G6iyGuIosD7cCBWVeqECdcQ962lZQ\/+QO3OXx4abpyhKVLm3L+\/AYMd8xIq9ucPr0qXTnCUqVK4uZmqAcm1fsvVSr1AGXJksUNdOddncLw9t5B2bKl06yiF2HPngUYx85jOLdu7aZcufQpw2JteH3xr\/OQLgNu4+Q0Vu0EXb58Ge7ePYlhb1vdZv366Wr9ly5dipAQQ6vzmlHhWR6gLFmyBMHBBzDMVeRU\/wcOOKr1X6JEceXLWAx5FTkMd\/c1av0XK2bCpUvOBu5fUv4VTFzcVZo1Sz3X0K5dc96988Owzu9kpSBevrye7gBlmzZNDHjnOaMCefPmJm3aNEnx37LlF7x8eR3jOL8iJyFBhplZixT\/DRt+xL\/\/emLYzKBSAO\/eyencOfUA7ccf1+LRIw\/0hxn0AtLF3Dp15XTEVURD37YK5u+\/z1KzZpVM\/gcO7ERycoCB+w\/in3\/O8+GHNTL579nzBxITDX3CDSIm5pLaEoTdu7clMfGWwft\/8eKq2kodbdv+j\/h4QzswK0mzCmfhQvuUPrNx4wwMd+dRnW7j6Dg6xb\/hH5jN3P5r105N8W\/4B0Yz+097gHT06P4Y7s6rev979y5O8W9v30fP\/OsFpKt\/OUHp0qWU25aGPuCIByjHjRuYzr+JSVGOH19uBP7FlIeZM9O\/nKBIkSLs2DEfuKMD11jw\/ufOHZ4JUp2dDbXObUb\/4fz226RM\/levnoz+bFtK0o5CCA09RLFiJpQtW1r5hlFDPL+Stf+IiOOULFkcU9OS3Lt3CuNYRU31f\/fuSUqVKkHJkiWIjDT0A6MZFcQ\/\/3jy0Uc1KVKkCDKZC8a18ygeIK1btxaCIHD9+u965l8vIF0GhOPmtpqSJVNz65o3b0x8vLFs293mwoVN6Q6QfvFFA2JijKXsXBg3b+5Ml1v2xRf1DfjAaEaJB0jTHqBt2PAjZYUKY5hwFISFHUm3m\/TRRzWUwKEv25aScqcAxDFNUwoFQjA3\/1FZdu42Ysxo6vs1Pf8UhH8FFhadGDasJ+IqYqiG\/4Ymd3ILwn8YQ4f2wMKiEyKgGZP\/EOAOEyYMokOHloj9VaHD\/mXKa9Sk\/z+YMWMo3377lfJadd1\/WukNpIu5dS1bfpEySS9bNh7DX0VWSc67dzJ+\/PGbFP9z5\/5iVP4TE2V07Phtiv+pUwcbkf8AkpIC6d499QDt5MlW6Ne23fv5h1B69\/4xQ6qbPtS5lZR7+ZOQ4MPDh+5ERBwnIuKERhQZ6cnkyVbMmjWMiIgLGvveu3dP8fz5FTQXgwXjPyLCk2nTBjNjxlAiIjw1+L3HefjQXflqeU3cg4Lyf4Fp04YwbdpgI\/V\/kdmzbRk1qh+Rked02L94D54\/v8Ldu6c06n\/u3F\/0xH9G6Q2ky0h7gLRatYrcv++KcayiqpT6Bs5y5UoTHn4E41hFTfW\/e3fqAdKAgH3o17bV+\/s\/cGBJin\/Dr3ObUWHp3kB6\/vwmI\/NvDPqDw4eX0qFDS+zsBmBn10dD6suwYb0YNqwndnZ9NfadlpZdlC9F0dRiQcH5t7XtxbBhvTTovw92dgPo0KElhw8vRTNs8AcHDy4psPa3tdW0\/4GYmemHfxubngXQ\/pr2LwPCGTHCXBlbmotVG5ueBdb+R44s06D\/jNIrSA8hMvIkRYsWZcSI3oiAbsgH5jL7\/+svD0qUKE7fvmbKA6PG5D+Ip08vUKtWVTp0+NYA37Cas\/\/o6EvUqVOdH35oqkd1XjXn\/+XLazRuXJemTT8jPv6Gkfk3Bv3Bxo0z2L59HvAn4kOYJhSKCNLhqNI\/3l9\/8OiRB7\/88jOae1jUJ\/8K4E+2b5+nPIyrCTaIYP36aXrk\/y+2bp0j+deYfxkQiq1tL\/7884zyO3Xb\/7Ztc9m8eaYG\/WdUgUG6H2KujuqmaELhwG369jVj69bZwCMNfrfqpvtp6MYWhP8wIIIRI3qzYcMMpX+Fhr5bX\/xHMnp0f2WFgodG6P8e06cP4bffJmrYvyq+gjR0DwrCvwKIYv58OxwdxwD3ddi\/pPzpD5ydZ+PsPBvtLgjlRkFERJzAzq4PYj80Nv8Fcb0RbNo0U4\/8a\/p6jd2\/DAhlxAhzIiNPIo7H2vaYvf\/Nm2exdeucAmyvAoN0sYi+jU1P7O37YW\/fVyMaOXIAP\/zQjE6dWmFvb6Gx7x0xwpxVqyajucG2oPwPxMysBZ07tzZa\/x06tCwQ\/6tXT9Go\/xs3NO2\/DyNHDqRjx1Ya929v3w8bm57KVyWH6aj\/vtjbW9C5c2uNx7\/K\/40bOzTkX1L+pE+QKkG6BOkSpEuQrreQHsHGjTOYM8eWyMhLREae1JBO8PffZ3n0yIPIyBMa+k53PD03pTn5rZnGKyj\/f\/11RvJfAP4tLbto1P\/69dOZPXuYxv3\/+aem\/Z8kMlI8WCO+vTdSx\/178OefBeN\/\/frpQEQBDbaScpY+QaoE6RKkS5AuQbreQvofbN06h23b5gIP0Gy5G00rjIcP3Rgxwhxx21sTN1byr2\/+7e37atS\/s\/NsZfDquv8g4D7bt89j06aZaAZS9dO\/\/kyOhip9glQJ0iVIlyBdgnQ9h\/TNm2eh+ytTQURGniwQSJX864\/\/goB0zUFvQUvT16uf\/vVncjRU6VM7SJAuQboE6RKkS5BeCJIgVfIvQboE6foER4YqfWoHCdIlSJcgXYJ0CdILQRKkSv4lSJcgXZ\/gyFClT+0gQboE6RKkS5AuQXohSIJUyb8E6RKk6xMcGar0qR0kSJcgXYJ0CdIlSC8ESZAq+ZcgXYJ0fYIjQ5U+tYME6RKkS5AuQboE6YUgCVIl\/xKkS5CuT3BkqNKndpAgXYJ0CdIlSJcgvRAkQarkX4J0CdL1CY4MVflthyAgMIfPBGbzGTkQkMdr1RVI91f6z+76VZ+Rq\/mZ6t75F2J7ZaX8QF+A0kN216\/uHqn+Xcb7UtDXWxDfl13fVkmew30KJO8xoCuQnp\/4V92PjMpLHEiQXkiSIFXyL0G6BOkSpGtfeW0Hf+AWcf9d4NmLm2QNW3J4d4Mnjy8Qn+iX+Xfc4mX8TZLzdK26AOn+kHST\/55e4MVrP7KGLDnv4r14\/NSLxGTx2iGUpNdXiY6+SHTMNSAEEWIy3h9NXm9Oyiv0+ZP05hpP\/7vI6+QA1AOWPxBAfMwFnsZcIxl\/IBgIJv75ZaKjLxKf4K\/0X9DXWzDfFx93iX9jr5Jt\/8eXmCfniY33UXOf5Lx7e4MX8TezuIeF5V9G3iA9Nf5js43\/wAzx78+7tzfEvp9Ol3j51jcP90CC9EKSBKmSfwnSJUiXIF37yms7yAFv9k76jsoN2nDurjeZV9SCIekiywZ+yUetBhAaLSMVZoMBP44s6E\/v8Y68yVP86wKkB8MrVyZ1bECDn6y5Gx9MZlAPJSl6LwObfUAr+xlEJ92Gt16c3WZHxy+qIggCgklNLCZMIuixj5r7p8nrzUl5gT5\/IJRXURvp2KAyZpMWE6+2HcKIli2gWc3q2G\/eRhJ34NUFTq605vOapgiCQKO2HdnidpikPIO6tiHdHwhEvnco1at8zPLzp8k8h8kBf844daHGR804pricoY1D4PVJxpo1w3bZBvLWl7UN6WL8u0xoTZVP2uJ57ybq4\/8CTgO\/5KPWA1HEiLtmJ1f8jGmJomL\/T1FJRh\/eT+4f2CRILyRJkCr5lyBdgnQJ0rWv\/LRDCHF31tCqalEaDZ7KS8JJXQkLAEKQ77LEtGhlFrkeJ3UCDgGC8D8wnNrFBFoMXUxingBFFyBdTOO4c3o0VQUTBq\/dBoSnu0bwYdeYZhSt1BTX2zeBW+yb0Y6KZapiO3cKLi7L2L3entZ1S1On1UBC\/vMn92kP2l5JF1eITy\/ogCDUZu3lc6Qfw0PhtRtj2tSk8rcDCI8LAW6yZ3IbKph+zLTf5uHi4sCCkW0oVfpDFh4+QN5W1LUN6TIgmMS4Y9h9W5XSjXpx+2Uw6VeUw4iRL+YT09L0XLRK+SCqig8VwHdCEASsl2wAwrToX2yzvKW7hBB7ZzXfVjGh0ZBp6uN\/pwWmJpVZ7HYCMT7OMavX13zXbxguLstwcVmklCO+9y+R+\/Qng4f0AOA2WYNREHAHcbVD3e8ViAGV3fZcEDl3Om1BamAO\/kKUv1fXYfyVvtRtT6o8\/6GUIovv0Lb\/7Pyp2vc26icMudJjxt+ptjLvKL2Hk3OgawvSVW2YdlBJq5ziIziX1xtKzhChDUgvqPgPIbXvp1WQms+mv14J0rWt\/LSDaiK2wtSkFovPnCYVtBQkxbhgXq8qbezn84owVKuPvLqIy5J+1C9ajKImJWg\/cgnv9A7SZaIXbrJzQgtMPmjJmSjVaqI\/EE6M73zqlauM\/Q4XIIo3katoWMGE7ks3A\/eAu0AkT27MoU658gz9fQ+5B1VtQ7oMCIU3pxnfphYffGdF1GvVboLYL3x2DKBcpYbsknkBkbwKW8anZYrTf\/XvwH0gCrjCgj4fUaqtJY\/ehZCXdAftQ7o4j\/wbsIjPTcsxwGFDmn4cAkkXWGD+CTXbWnLvVQjp58wwnt5czPdf1KBGlQrYLtuI\/kG62M4Bv1tSyqQWDmczxP9\/e+j9cRXajlxAPGHi72J3Y9myGSuvXAEeK\/tBpNKDnNynfBk0pAeTFHOEuXZdGLlkBa\/SPd0pO1e8K0tHdWP47MVEJ6U92OIPKHhyaxkO25cTk5RVsn8oxB1jzerJ3PjrJlmvDhQ2pIqrHzFhG7Dr9xNLju5T83cVxD\/YxigLM2bv2UlSus4qPv3e2jeP7Qd2Z9iiC4H4C1zYP4k+HVtgZtaSXxbN585\/3mQNO9rwH0CY60z6mffiWOBF0gejmB8YdWkeA\/t0xcXHnfRbWEHAFfaumc6BG2fS\/FsR0OOfHGbDpO6YmbXg57H2XAm7kIMvbUB6ICRdYu\/cfgwYOZGoVxkP7QQBNzjuNIC+I0YRGn2LjINr0uM9ODr8iiLmFlnnYobwJGA5kydP5\/ZzWRafy831atp\/MEnRR5hj15lRS1YQrzb+T7NkVFfs5jiojf\/Hvktx2L6CZynxL7b\/fwGrGN2rLR3MxP6v0pQ1ztlsZ0uQrhvKbzuEQtI5JrevSZkmfbgbH4I43nmzbcw3lP+yE37RcsSxMxASLrDe7muKFf+YGUun06t5fVpZL9DDlXSVwkj6ezvta5Wmic0c4gkX78nrk4z5rg5f\/jyO6OQwIIg3T09w5tQa\/oj2JXVMUQBu9GvxIV9Z\/0pSrv3oAqSLDyN\/eU2jllAC2627lH4UvI5cR+tqlfnZcR3JhANyXv19BPdj63kQpxpTg4AQjs9pi9CwO2Gv83KAUhcgXYZqfjw8uRVCuS84de8mIqiGINtiQYVyDdkuu0h6BgiF50cZ3a0NkzcsYlLHLxi0aC36B+lKL0lnmdiuBuWa9iUqTfxvGd2c8l92QhYdgBj\/oUT7OtK9az\/kL+TEx3oRHe1FovKcQl7by4AhXQ6JNzg0sy2CUAmnc66kApI4kF5Y3glBKMO0A\/tJTFbdPHH17d1\/B7D+pgoVe9sSjYL0E7w4icNN9k76DqHmpxyKyO5QgTZWkoNIfOnGzJ8+QKj8DecifUhd6QuGZC+W92+AUKIxBwIukJwCqXLgNv8FOvJNtbL0nvUbqdubwSTEHmZCty+oXrse35u1wszsG76qW4Xqzdtx+vYV1OcbasN\/CC\/vOvNTneJU+c6Su69VT\/h+gILk2AP0a1SKEl\/2JOCftAeigoEQ5HsHU02oxqxDJ9Jccwgxgcsx+7oqDZp8hZlZa9q2bEDNmo357cwxknJ4SClcSPcH5MgP\/UIpoQh9ndaTlDI4iisj985Pooog0H66Ey8Sg9P8LhzeXWKt5ReYVPiRm9FZbU+HwGtXxn1fDaFce27FBGTxudxcr6b9i\/F\/cMZ3CEJllp13I338yzm\/TIz\/6Qf2KwfQ9PFv2bwKFc1\/SRP\/AUAgnkt7UqpMNdqZtZYgXe+U33YQx\/ynfgtpWKYsfZw2APd44D6OOqZ1cHA\/laZ\/BZL06jS\/Lx3BMd8LgCc239aj+aD5egzpAUAwfjsHUaZ4NZzOuwMK3Bd3xrR2c9zv3STd\/MIdMj7083w\/Xb6sSuupy0nWK0iXKb15s3NMM0rUaMn5BwHAFRb3\/4w6bQelWUFW+b+NKqcd7hB7dwNdPq+F2WwnXidnXDAoiOstiO8LJenpHvp+Wp5GfSfyknskPlhH6zpV6Ld4HenToEQWOrGgFz9YTuZpwjmmfN+AAQvXoJ+Qror\/BTQsW5a+yzYixv9Y6ph+iKOHKldfXLgKPDyar5u2Z9LEnjQqJ+ait7Ww4kLIBfKa7mTAkC42Bq9PMfKbCph+2gX\/\/8RJFsKIli\/mk1JFaTtuMa9TOlcAEErsnS1Ytv0IQRBoYDue2EyQroDXZ3GeZkZpQUCo9z\/c7vuiW5AuA8J5fW8N35gKfDpgHP+lpKWEIt9jRSmhFONc9pE6AYglhO54zqXtp6URhCJptqfE1fVTM9oiFP+U3TfOodrGfHF3I90+LEOjbuOIVjsAacO\/EkTdRlFKKMIAJ5UPMYdyz9hmCKU+wcXvEqrDXeJ\/fTi\/eQiflBYQhNosc3NDDKpgSDzPtB8+oPRXPQiKCwHuw1tPHPt8QomPuyCPyQpmtZXuEgTcZKvd1wimDdgT4KX0qIDovfT\/pBTV2lrz4E3aw2AKkmJPstSyGaaCgEn9XgTGqoNvsT+c\/603poJAifq9kKv9XF6uV9P+Q+HNKeybV8C0YVcC0sT\/fwGL+LSUCd+Pd+BNhvh\/dseZQW0\/FOP\/lwlp4j8QuM7K4T\/QbdZK4C\/l35bSXfRH79MOyjFwzvcIZT9nz4WNWH1Tg0aW03iVDlBkJCX7oQI0kk5h+U1dvrHUZ0iXoUptmNO1DmWbmHPhvAPfVKqI5aqtZA9eAUA4EUdtqVqqJssve5B7ONIVSJcBYSQ93UWXD0rRxGYK53YPp1Lx2qy6ehb14BXMX37L6WHWlPpVyvK\/ASN58CqEvJVj1CVIF+fU2yftKC+UZ4bLBtZYfU35xt0JfZV2DhE\/9\/jmXFp+2oIDITcAd8a0rq\/HkC5DVUb15Gwx\/l0ubMCyeXUaW01X7iypPiPj2NQWCILAt\/2s2bHHCReXxfw6vBV1P23NAb+L5P7wtMFDuthZHlyYRDVBoPWExbwlChLcmfB9Vco26UHgU9UWhdjBAvaP5ZtaJanT6ie6t63Jx4NHp5mkxTSSZ3e2YmtWG5MPPmeAeXPKNGnKyXs+6B6ki74u\/NYdQSjNhF37gfskRG3g+yqmNLGYytO0AJJwhf2O5tQSStGq30+0rVKZwY7rSYX0axyZa82Ueb\/xlttp\/kY411d1pXS9Zpx9dEvNfdCW\/yDgMssHfYpQ4hN2yy8Dd7l3bgJViphisdqZ1MkviIRnJ3C0bYFQ7AP6D\/iJymU+wfGkKv8sGGKPMnt8b1a4HSP1qTmCB6ftqCPUZ1\/QNbLbSdBWTnr8\/c20ryZQo40l997eBvzYNaElRct9zt5AL9Gbsm8\/CVhB5+bVqFKnKQO6fU2Fj7vhrxa+w\/nn+nw6t+\/IlOGdafhhF3xiszsQpg1IF\/3f95xIFUGgzcTFJBAFCW6M\/64K5Zv2JPg\/VYqCuAoWsH8szWuWpE4rM7q1rcnHQ8akif9geH2M8b3asuTMGcQ8w9ycyUi9XgnSta33bQcFPD2ARataFK9WjloNf+CM2oovqvkiBBINBdLFeHoa5Eir6uWoVrEsDTvbcPd1WkBTp9skPN5O10bl+cJ6MtFJeVlJ1iVIV66S7h5C9ZKmVCxXmU5THJQVXzL6EceLe1d\/pXuHVnTt0pKvmn3JxC1beZ2nlAddgnQZ4lxxiRUWTShWogIla33Gb2dPkf4hJRReHmNEu0b0XrSaZCLg3SkDgHQZoIB\/9zHw25qUqFaWWg1\/4Gy6+BerwZxdMZhh4yZw77UCcTHzPnCRGW3r8XW3scQk5ZYDDB7SZcpG8GXvlFYIQg3WnDvImeXdKV76E36XXUrTuYIg2ZNVvX7Cetw0ImO8WDOsAdUH2vMs3Xa3HN\/1I+jUrjeu4VdRHLLCtNGXHL+ra+kuaQLmjTtTvq+KUK0F5wKOsXYvT3QAACAASURBVHzQp5RuaIbsWdri+6Ek\/7ubXuZtGbd+AzGxBxlWuxIDF6bNIVOmQqTzIG7p+W0xp9ynTXF\/oG5HQZv+w3gTtZHvaxWleodhBIT8jkWjcjTsPZ5nyeHKNhW3sv71mY95x7asdztNnMKJ2qb1WHhcNQD5oUoFSn1pQSTgz8Ep31Gmzk\/4PFUFqfr21051F\/HQS+Bea0oKRRi8diP+7uOoVaw843bsS9O24n04u6o3na2t8Y+8yrlVPSlVvSOyZxnhOxReHGdM11ZMP+BC6B4b6lfrgE+mz+XnejXtX7lzMulbBKEm6zwP4b60G8VMP2GHvxfp4\/88v\/X4URn\/l1ll04DqA0emif8Q3v6xloE\/tGXdkVU4jO2EmVkLbBb+yt0YH7LPN5QgXTf0vu0ggmrkKTtKCmUZvnEn2UOHIUG6DNUD7ak5bRDK12TjdU+y374Ph5ij2LetQ\/nmP+Mf40\/eVpJ1CdKV7ZnkyZyfalKhdluuP1U95Kv7rJ\/y3kQCoVzd2JcS5eqw6nrac04Ffb0F8X3hvI5cRdOSJjQbPofXKQt2MsTx35eTDj\/T5md7nvIAeARcZMr3n2C9fCvwsJCvN6PeB9JFVog4OYKSQjlGbN6F+vgPh0xVYELxXteDco2+4cLfqp\/l7N8IIF0GKCBmP0ObVaJkjapULVEB6+WbSJ9D5Q9J3jyLvooIYtdxtPg4A6TLINmPl8+8iH8bCEQg392Pkp\/pMqTLgDBighxpVrUUNWrXoESFBiw\/m7HeqT9Jr68T\/eIGEAnx+7CoXiEDpKtTMHCFRd3qU7u1BQ9eq1ZldcW\/CKlB+4dRxaQ4tT+qRIWGbTgbpcqhTP3s65eXeRHvC9zjlXwB1UvWTQPpab9TTvJLT7wOLsJpShe++LIlaz2Oq\/lcev\/aK8EYDFxm5ZCvKFayMrWrlKap1QRl+lPaw5K+xD3zIpEQIJRTiztRMhOki1v+J+Z3pUkPe6KJIHTzQD7WWUiXoYr\/IU0rUapGVaqUrMjg3zajLv5joq8hxv81Fg\/8OAOkK3jkNY0qRQSq121I527fYWbWivbffcaHbTpwKlN94MzXK0G6tqWJdgjjRdAiapSsy1I3d7KHVEODdPEhJchlACUbNcHtkWrxQt3nbkPcUcZ2\/Jhytb\/HI+x6DveqoNorrd4X+sTKHC6Dm9C41UAepVTzyfiZjONAODzfj1mjKnw7eUUeDs7qIqSHwIt9WNaogPXSjBylIE7uSJOqVek+fiIHDyzFxWUJLrsm0uGT6nzbxxqXU9v585WfmvtWGP5lvB+ky4AwXgQupEbJeiz38CBzn1b39llxMVO+pz8mnzXmWGR2mRfp\/RsJpIsDRpTHeCoJAqZfdEPxVkFmoFA95YtpEo6D1EA6MlQHzyAU\/136AOmiJw\/HjgiCwBcDZ\/BW7X1W+Q+BOBcG1cgJ0sVcw3uuY6hVqgqTDh5C\/Wqitv2HAJdZ3Fs8Z2Cx9ndI9\/Sf1o8cUBDnP58aWUK6glfhq2lRtigmxUyo1rgVm9yOqPlcev\/arZN+h6R762hZSUAo\/QmHwm5m0VaqCSaAk5kgXZygn\/j+yjcNvmbz9fPAbfzWD9BxSBfj\/577WCoJAqW\/6kH426zKa6ri34vFFmkhXVmGa581lerUw\/HYYcTycvfgzTlm9\/qUBl2G8PBNVuXVJEjXDWmiHRQ8k\/1K9ZIfszglHS6rzxoipIci29GXkp99lUWap\/hA+yJyGxatPqRM3R9wDbtK\/sY+XYR0H3ZYfkWjFv24l5g5deftyyvE\/HeNpHQ\/D4V3pxnQsg7NRizSf0h\/tpsB1StgsXgd6XfaFTzwmESzcmUoU6oYRYoIKVK90KdIoxa4P1SXFlsY\/sW2eD9IV\/DMbx7VS9bF8XTG+PeHJB9iY714kZD2QUTcib2x4WeqfdmWa\/\/m9l0BRgPp4gG6Q7M7igc9y9Rj7SV3sh40Aske0lU3XV8gPRTi3ZjdoxGCIFCm4U9cuqeq9pJFEOYI6WIVjNjQ5bSpXZb2o+fyLFOZO13xH0Z81Ba6\/68igiDwWc9fiEqp9qI+CLOHdH+SEr2JeXaZmJhLeDj9TIXSdVly9hTZPaRoD9LFygzyA3bUNBUQhNIMW+ucptqLus+rg\/QQeHmc0R2+Uh7EvQeEI99sQd3qnfB\/FUxOK8nagXQx\/g\/M6oCpICCUrc+6yx7ZtEUgmSFd7NcJ8VeJibum\/E5V3vEf\/HVuDKWrfsLWW5dQH1cSpOuGJEgveEgPJe7OBnr9rxI1m5vj+3cAYrWXIDKvMBZGe6VVQUK6OM4q9g2nQcXP2Rd+g9RiBZEk3l7Bl9UrM2LPvhz6jCavtyC+LytIF\/tHUoI3cTFexMRcUuo6Mf\/sZXiLuvSeuYSYOD8SkgrzejOqICE9BN6cYEjLenxvvwhxblK9V+YWGwc3pUWvcdmwUmb\/RgDpynSHAzaUL1aWIbPGY9WyCmUbdVVWe1EH1oYE6WJO\/oHJLSlWpA6zlo6mZUWBRgPHZ0h3yBCE2UK6HLhDrGItP35ajjo9bbgXH6Sj\/kMh3pXJZnUo+mlbljr0p6JgwsClGyFDRYa0QZg9pKv6leplOO7YNq3Jp50mEJesbjLVNqSHER3kyJfli9FsiC1zLL9EKPspLgFeqH+oUAfpQcAtXB160KhFD248usazmCtER1\/jwtLefFilHefvefHydVY11bUF6cqc\/P1DKV+sHENnT8CyRRXKNuqmrPaSVfyrh3T1W9kKXgQvpmaxj\/j1yIks+osE6bohCdILFtKD4eVpJrT\/AKFKcw4HnCP+5Q1ioi8SrVTsc2+S9fLgqIycV9JDeP14JwM+q8Kn31vjc9eT6OhrPAreypjODfisvTV3X6QWqij46y2I78sO0mWkzo0qhQNujP+uARYOG\/L4d\/UN0uXALU792omiZT7m16O7iY6+RnS0Jx4bBtH4o6b87nM+D3\/XKCA9nDdRm\/ihugm1fhzK3\/zBv5enUFUQaD1hUZryi2llKJAupidEXZhMdUHgx0lLgHAur+6WptqLusE\/O0gX03z+li2l0ydlqdXZiuBodeCiC\/7F6\/Jc1hlBKMPkg0cAH1ZafCJWewnwQj2kqoN0P1Lf4CrP8Dduscvyaz77qh\/33mVdglI7kC6+tnrSD5URPmjB5b8D4Z9ttK8qVnu5q3ZHQR2kK+CdG4ObVkIQBIqZFE3ZvkxVCX7J8o1y2oL0cF7f20jbakX54CcbHhPBEy+xPnybSYt5o\/Zas4P0cDLHjII42a9UKVcXBw9VyU711ytBuralmZz0GN9ZlBCqMOfIySzaW6UQSDzBzw2r0vDn2STmqbKFrkK6At\/N3RFq1udIutxacU68d3osFZVjQvESJpnGiebdpyljqrDaK600A+mbf65Prc96EJmo7h0qwTyRreGXNg2pUrY4glCECh\/UoX0\/K67cv07ewFBHIT1mB91LFKXnnFVkvdilUjAkHGfYl9XpPvO3XHy+IP3L0EROeszNmZQQqjLvmLr4D4J3nmxZYE6ThjUoIhRBKFKeL5u3xGGvC3mLZYOH9BDgCssHNkCo3hyPSG9EgFBVe6nK0jMZD1DKMBxID4OYfQxsWJrqba2IfBUMhKdWe6nclDNR6tJesoJ0cTsv3G0SX1QvQZNB9kQ8C1Tz73XFfzgxgYv51LQYbccuUNYyvs1rZbWXKu2sicr0GmMZmSE9FAjh1V1nxg7rxc5baSsaKAAv5rarz1edx2cx+WgL0sUqNGeXdaGIUB2HM6eUbamq9iIwQO2OgjpID4Tk68i81nHwoCN7XRbh4uKAi8sSFg75lqrlvmDBliXcDD2H+gc2bUC6eBZh2YAGCDW+UZbKCyO12ks1lp1N+5KztPctI6QHAt64LrFm\/JzFvEg5MCamu9w7aUfFz1riej+rcUCCdN2QJtpBTkLMaU4dXYfir2tkvyoaAMnX8PFch6fPaZLzVNlEFyFd9B8T5cLRM5v562XGvFt\/ov\/Yx\/GDThxKGSfSy+PSMd7m+j7oGqT7A35E+WzmjOdeXiZndWg2FBIu4OW2DBeXRbhfP8irpCByXx9bU9dbEN8XAAmX8D61kpuKc+ScWx4ASdfwv7geb8XZXHy+IP3LeH9IT43\/sCzjX8wseHJnjxgDe9cR+dSbvM\/\/Bg3p4otLvJ0HUkwoy4SUcnPiGyeJ2Y9lI1NKfN6ZgJiMZZQMAdKDIfk6zqObIRRrwA65F6mrxmHEBDnQqLTA5\/0nEZOU8YR6VpAeyn8yB5pXLEFTu2m84BEQhbi6\/AfpSw5p238oyXHHGN2yMsUbd0Gerh5+CEH7hlBaEOi\/bIOa3Gx1K+mhJP27h86fmlKzuz2P34Qj5mSHEnRiNLVr1sPB\/SS6k5Murnj9c2MujYsJtJ2QdtVYrPaSUj8+IG3fUMVORkhX5aXfVv69CMT6rw+4s8OaejW6EkYEqS+Gyuv1atq\/uItyw3kAxYVyTNy1n3TxH72fQZ+ZUuKLLgQ8Uxf\/GSFd7DvnF\/6EINRmw6Uzyva\/S\/KzY0zo9hVdxi3gRZa5hhKk64Y00Q5p3yqpestkdp9VxU1WsZGVdBXSlTGU5YpoKKljhDrl5T7oGqSrpNpRy85HkPJvRECW40JhXa8mv09V0ecPxLEyN22pioHcfr6g\/Iv98\/0gPbfxH4DYRyKUn83Lw0mqfwOFdDGH9p7XDGoLAvX6TyQmKWO5uTCiLk6lhiDw1aApPH4TlOb34iQ9t2cVine3IUZtmSXltt+W7gg16nIwQpcgPQCS\/PBa0xtBEOi\/dFMGEBUB5uLKbgiCwKDVm3mTlBbSQiF2Fz1LFKH7zJWIA1IwJF1iQRfxTYwfN2tO187fYWbWIvXV6H364RZxlcyrBYXtP5CkNxdZbfO5uFp6PmMKQjAke7FiwCdi7fyLriSlC9YwYn1nUUKoysyDqhxjcRvzz2sLMPuqFl992xQzs+8w69Cchg3q0t9xFfFZetMGpIfw8q4zP9UuQvH6XZFlehAV08C+ryFQ4uueBDxRwYSy\/xDA4dltEYq3wSfLN6mKOyveK3pSodh3XM\/yc7m5Xk36F+P\/rtd0PhAEGgycxLPkzPF\/z3MK1QWBry2n8iRT\/F9ido8qFO8+LE38B0G8B0sHtKRu3YaYdWiFmVlr2rdqwP+6DCIgWnVPsr5eCdK1LX1qB12FdH1ur4KAvoKULkK6PvuX8f6QXrj+DRTS5cAN3Dbb0NvckitRN1AHjuDNqWUD6G0xiGsPb5AKMXLgOsfXDmL46mW8THkjY9p\/r3wQuDwXywm2+D7xJesJuvAhlXgPNk\/phvn4yUS9UXdQJQReu7FsXFcsJkzn4StViT3lvYk\/xdoRvVh9RHUSPRji3XCaZk7\/\/mb07NoqPaDrFKQHEf9oF1P6\/8T4Vat4kwLZaT+j4PX97Ywb8COTVq3jFWkhLZj4e1sYYWnJEd+0hzxEKI37ax+rJ3bHzKwFHYcM\/j975x0Q5ZX1\/zGmJ5tks5vNbrK7yW6y5fcmm+y77252N9lsiiViR5oUpQrSVFBUsHexgR2wYBeNYkGxoggWFJgBZij2LjZsWOif3x93RuyCDszzjPePzx\/BzMw9T7n3e8859xwSd64w1hZ\/mKeksUW6EMsF68Kx7diSOWkPypMWkaa81b2xtW3DovR1d9gpPOf7VvbGxSeUw9dNnvR7xyDSYA5tGEyAdygHHvr\/PW685rbf+P7P8KCjrStpxx72\/u9i1VhHbDu7sPO+9z+dldEPev\/zoCqVXasjcG\/xD5o1+5pBsZM4ez3zAb9x\/3jVszhaK2q6D1KkS5EuRboU6VYp0k3kUxuSeNC\/m0IwDzrMY2zGcPvQ4IM+n4kQXY87CGGJdA9Td9AHRQFMmA5CPujgk874b6bw1J1h2wMPQUnpLqbxP+r39HfYeO99zeXBz0628XOm62CMMjwylGmpnPSH2XenLQVGGx70juRTN3FgqMP\/Z4mc9IZ6\/3OM332A2mfscdUa1CaOrBU13Qcp0qVIlyJdinSrFulKwdJ1wi2NtN\/yzYwsjSXrpCsBtYkja0VN90GKdCnSpUiXIl2K9EZAilRpvxTpUqSrSRxZK2q6D1KkS5EuRboU6VKkNwJSpEr7pUiXIl1N4shaUdN9kCJdinQp0qVIlyK9EZAiVdovRboU6WoSR9aKmu6DFOlSpEuRLkW6FOmNgBSp0n4p0qVIV5M4slbUdB+kSJciXYp0KdKlSG8EpEiV9kuRLkW6msSRtaKm+yBFuhTpUqRLkS5FeiMgRaq0X4p0KdLVJI6sFTXdBynSpUiXIl2KdCnSGwEpUqX9UqRLka4mcWStqOk+SJEuRboU6VKkS5HeCEiRKu2XIl2KdDWJI2tFTfdBinQp0qVIlyJdivRGQIpUab8U6VKkq0kcWStqug9SpEuRLkW6FOlSpDcCUqRK+6VIlyJdTeLIWlHTfZAiXYp0KdKlSJcivRGQIlXaL0W6FOlqEkfWygFmzgxn4cIRwDnjvTAnB+\/hab7rGOfPbzHOG+YT6Q1nv7nsvpNzLFw4wjjPm0ekTp\/er4HtN+d3XmDevKHSfrPZnwUY8PXtxMWLW4FjZrK5IWwX9i9YMIzY2Agz2n8vUqQjRaq0X4p0KdKlSFcCB4mJicDevhkxMSNu3xNzEBsbwcKFI1i2bAyLF49kwYJhxMcPYfbsQcTFDSA2tr7fOYihQ\/1wcGgOFCnc\/nDi4gayZMko5s8fRlzcADN97wjjWCMwz3t+iBkz+jeI\/fPmDWX+\/GHExISb8XtH0qnT94q2PzY2gnnzhrJ06ShmzRqocPuzgELs7ZsxbJgfMTGD6m1rXNwAZs8eRHz8EBYsGMaiReKdX7RohBmf+1r77eyaGT3pDbXOSZGOFKnSfinSzT1eddovFhsp0i1HLqdOJRMfP8TMYmIQEyeG8tZbr6PRaPjii0\/w8mrPsGHdmTEjnAULhrF06WgWLRrB3LmD67iYhzNr1kB27ZqD+cLyDWX\/EMLDPXj11Zfp3t2O+fNHMWfOYDP8Rjjx8UM4dSrZTNcgl5MnzW9\/bKwQkx06fENs7HAzXtdw4uOHKtT+cGbPHszChaMJDXXjxRdfoEcPJ2JihinYfnENdu2aU+cNRVzcAObMGczChSNISBjDwoXDmTkzgmHD\/PD27shXX32ORqPhxRdfYNSoIGJiBpvZ\/iGcOrXBjPbffz0aVKTPmjUQOG40QKkUcuLE+gYRqdJ+9djfECJd7LCVbn8ucIzZsweZXaSrzf6YGCnSLUum8X6YOzR9EDjK1q0zeOON13jzzdd57713+OijX9Otmy3Tp\/cnOXkyp05tNP7+SeAMcAIRcn\/UeAqM41ay\/YeBg3z33T\/4+OPfkJg4AeH9Pw0cMsO1zTXTNWgI+w8BJwkL60pQkCNiPnpam5Vu\/yHgFLCfjRun8tlnf+Qf\/\/gE0AJHzWi7ue03XYOCx\/zeUcS7edpop56zZzezadM0YmMHEBDgyMcf\/4b33nuHt976CS+\/\/BKJieONn2uIucWc9t9Lg4l0kVsVEeHFwYMpHDy4ykwkcuxYEhcvpnD27GaOH1\/H4cNrnvI717F583ScnFpivtzChrP\/+PF1nDu3hUOHVpvpO9Vl\/8mTyZw4sZ6DBxPNar+zcyuz2j91al\/Cwz3Nav+RI2s5d24LR46sNaP9qzh4cCsDBngzeXIfxASvLPsPH17DiRPruXhxK+fPb+XwYXM9+3fbP3VqX9Th+ZfUHy1QwKBBPmg0mgfy7rs\/41\/\/+gsdOnzDxImhbN8ey\/Hj66iqygKyFWDD07Cf0aMDb9vart3X7No1HzHn6RUwvoYil+LiTfziF2\/z9ttvcObMRiBPAeNqKPKAfLKzl2Jn9\/3t+92vnzvmS8uyFNlUV2dy6tQGUlNjmTatH506fceXX37O+++\/89D3WmzO8gCdAmyoLw0m0gvYvTsed\/e2+Pra4evbyUw4YGPzJa+++hKffvoRjo4t6NGjM2FhXenVy4UePToTGOiIv789fn51\/14fn45MmhSK+URaQ9nvSPPmX\/Dxx78mKMiJwMDO9bJT3fbb4uvrRPPm\/6RFi3\/i6+tktuvq49ORqKjeZrV\/1665ZrLfFj+\/TgQHu+Dt3YEPPvgVtrbf4evrYMbnyg5397bs3DkH4cWwjP1+fnb4+9sTFORIz56dCQlxJSysKwEBDtjafscvf\/kzfvrTN3Bzs8HX197s9u\/aNddM9kuUiZ4LF7bz97\/\/z0MX9Dt58cUX+Oqrz7lyJRXhLbP0+OuKjvsFiYHdu+fywgvP37bv1VdfZvBgXy5c2I4QcGoUMY+jkLlzh9y2WWzE1S5WH4QWKOTq1Z2MHh3ET37y6m2bmzZtyoYNUzHf+mYpcrhxYyfffPN\/vPjiC3V6hz\/66NcUF2\/GfFHyxqbBRLopbFNovDj5ZmI\/JSU7adfua95663W++eZvODm1YOzYHuzZE8\/Zs5sQD+t+RJjSFKosrOP3mztsaW77j5Cfv5w\/\/ekDhg\/vTkXFPkT4zly\/o2T7C4AjhIS4MnVqGCIkba7rqlT7DZie5QsXttGlSxv+\/e+\/cONGhvHv5rLbYByrucO2dbG\/COG9Pw4cAYqoqtrHsWNJbNo0jaFDfbGz+54vv\/yMJk2aMGCAF8IrUtd32hL2S5RLEcnJk+8Sq4+iTZv\/UF2dh1hXLD32uqAFMiktTaey+s6\/53Lu3Obbi\/2d\/PWvfyQxcRLi+Teg\/qiBCR1VVdnY2Hx529Yvv\/yM8vJMrGtDYgD0JCdP45\/\/\/OS++\/v6669y9Oha1B9ByAby8fRsX6d397nnniM+fghibrf02J+UBhPpDUkhJ0+u5\/33f3Gf1+MnP3mNf\/3rL4SEuBAbO4DU1FjOnduCaZep\/slHCxho1uwL44TzOWvWTEK8fNY0uT4I8bD+6lfv0KnTd9TUaLGuifZB97qAioosZs8ezMcf\/xqNRsPYscEo4z00j301NZkcPZrEhg1TiI7ujb+\/A7\/\/\/fu89torPPfcc3e9423b\/oeqqmzUv9hILIcWyCM42KlOC\/3y5WNRT3QlBzCwN9aV\/\/u2A9pLWmo3FzqqqzPvSoG4d\/309e3EkSNJiLUyRwH2PC2F7Nw5mzfeeO22na+99grbt8egbuF25\/0u4tix9fj7O\/Dyyy8+8N5+\/fVfqajYYyX3tIANG6bW6d0VmjVH5XarUqRnA0UsXTrqsTfp+eeb8tlnf+CHH\/7NkCG+xs+qXcjuZ+zY4Lt2i0FBjhw+bE2T64MoZMmSUbc9AwUFK7DeXEo9kM\/u3fNvb8hE2PI5UlPjUG\/ozkQOJSXb6NnTmWbN\/nF7A\/Io3n33bbKzF6EewSRRLgZOn97IH\/\/420c+c59\/\/kcuX96OOlJdcoBCTmYM54ufNuXFPzUn+7KOWpEuvJB35qU\/LD1g5sxwKiv3oW4niHBohYa63mdjcHBnxByrlujIg9BRWbmPmTMj+MMffvPIexoe7oFwbKjZXhO5XL2axuef\/\/GRNn\/44XsUFq5EREotPeans1eFIj0LyKGyMvuhXoEH0br1V4gXU00i3RTWv3PMBjIy5t2Xk\/W7373H3LlDqagwnY5Wk52PQ0t1dQ6tW391295Bg3ywvtxCHVDEhQupDBzoc19o+p133jKWe1K7JzmXa9d28Ic\/PFok3UlkZA+sIxomUQZFLF488pHP3Lx5QxGVUZT+zIkqRQeS+\/Ov90T06ef\/aIfuLpGeBexn7dpJdcrndXRszvnzm1HHBuXB1+TcuS189NH9DoCf\/vQnxnlUrU4ekbrk6Ni8TnPnokUjEOmRSn+O60I2cJAlS0bRpEmTh9ocExOO0Adqt1m1Ij0LKKCg4Edee+2VOj2oCQljUJcXLh\/OLSS8jyfrDuyg1quRR3HxJn760zceaGf79t+QkbFQfF71Ys5EIVlZC3nzzddv2\/nppx9x6ZLaDnQ95n6TS2LipIcebLOz+56amizU7eEyUUD37nZ1ene\/\/fb\/uHFjlxXda4nl0VFZmU2nTg929Lz99hsMGdKNo0c3oOzNYQ7c3MiMXt\/wi5ea8JcOrbH9f7\/knU9aor1PpOs5eXJ9nTbHf\/3rHykpUfP8Wkh8\/JCH2ifKzao15SWXkpId\/O1vf37sfXzvvXcoKrIGj3IW4h0s5OLFVCIivHj33Z890OZWrf7NrVsZqPfZvfdeq1akZwMFREWF8txzD99RaTQaPvjgV8ZDpWq5aflQs5M4\/8\/RaN5lYkbKHWPXUV2dhb19s4fa++qrLzNsmD+XL6ej7AWmrvc5n4ED7y6d1rTpc6xcOQ71TrQmhPf8wIFVdO9u\/8hnecQIf\/FsqPp+msgnPX32YxeZ119\/ld2751rBfZYoj3wOHFjFL39592L\/4Ye\/IjNzEYsWjaZVq3+TlBSF8Loqcf0wcOPgFFp9+DvchoygpCadKS0\/5s2Pvrsn3SULsTHJ5Jtv\/vbId+7993+BTrcY9Qo7HRUV2Xz\/\/T8eauN33\/2dqio1HyDNR6dbwm9+8+4j7+WXX37OzZs7UX8abA6Qz\/btsXTpYsOcOYPJyUngd7977y5733jjNbTaxVjPeqFqkS4MKC\/fy9df\/+9DH9KmTZsyaVII6kgBEfn2kMrcft8JG978M3Ha7dQuEEK0RkYGP\/Ll1Gg0\/OMf\/8PatdHGKjBKt\/1RD2kKv\/\/9+\/fZ5+TUwniAVK25djquXUsjJiaCDz745WPvpwhbKu0dfHLbq6qycHJq+Uib+\/f3QOTgq\/UeS5RNERMn9rr9vP3852+yadN0xHtWSHb2Yjw92zNihD9XruxAeeuIlrLSLRw4tg1RyWwHo7\/5HW9+\/P0DRHoWUEifPm4Pfd9+9rM3jZsSNTt3RAnY119\/9aF2vvbaK2zePA11p0zuZ+PGabzzzk8faqejYwvUL1jzuX59F1FRvXFza20slVsIFJGePoff\/rZ27bQuOhRq7wAAIABJREFUR1YWViDSxQ3cs2cub711f2kpE2LSOYyyd83ioTqmm0EPh0947sW3+dPH76B550\/EZG\/nbi\/OftasmUjTps891GYTf\/zjB1y4sA1leoHqQiHz5g17oG2vvPIS+fk\/ot7cwgK2b4\/hpZcefCr\/Tn7\/+\/c5fHgN6j80aiIX2M+ECb0e+eyeP5+i4vsrUT653Ly5l3\/\/+zPee+8dduyYzd1CvICysgwiI3vg6tqKzExTKqGS1pIcarvnbn+MSM8nMXH8A\/N5mzZ9jnXroo32q3VTbKre0\/mxc6pocqPmA6Qi\/SMtbTavvvryffY1adKEBQuGo16RrgPy0etX4O3dgcGDfbh2LZ3atGXh1ExLm8tvfvMuv\/vde8aNtLWk+WZhJSJdi0iH8LrvIX3ppRcZNMgHF5dWxMcPM3pdlSpy8qBiA+HN30Xz3qdMS15OSlQrND\/9kGlZ94psPcePJz3wUMy9k25sbISCbX4cos5t69b\/eaiNPXp0Rr3ekGyqq3MJD\/d47ILy3\/\/+zdj5UEni4MlshgKuXNnByJH+hIV1pUeP+xfUl156kaSkaNS7wEjUg568vIQ7wuT3euFEacO0tFm4urYiOro35eVZKG9erYtIz6OoaOVdZ7mee64Jbm6tCQpyNL5zap1Pxb08dGgVb7\/95mPn1J\/\/\/C0OH16Nep0AmUARKSkxeHl1oEuXNnelS7700osYDMtVap+Bqqps5s4djJdXO2MzpjzudzaKjYpen0BOzhKsS6BnYSUiPQtTJ7kvvri7kP+IEd2BA5w4sZGBA70JDHTk8OF1iIlYabtnHdXXN7F5yVhyzuwC9pM+rjmaNz54gEgXqQLffff3R05CQ4f6ou5UgUJ2755714HRe\/nTnz7gwoUU1Pty5lFauhtb228feS99fGxR\/2l14RnJzFyIq2srIiN7GMWODldXm7vs7dq1NdZTNkyifPQ8WswIMXD27BaGDOlGjx6d2b9\/FcpaS+oi0nMoK9vDZ5\/9gSZNmtCixT9ZvjwSyOHUqU3Y2HxJdvZi1FVk4U4MbNw4rU5R5uefb2pMbVLaZqvuth47loSDQ3MOHVoN5LBs2VhatvwXL774PO+++zNKS9NRVxRd9M84enSDsYO8A6dPb+bx75lBxffxUViNSM8C9rNuXfTtF7BPn65GAZCLmHxzmDt3CF26tGb58nEIAaA0YWfy9OcBOWwb2+whIj0LKKRv364P9aCHhrpx69a+B3xOLWgBPb17d3nkRNukSRNjrraavT8GLl3agYPDg0tqNW36HImJ41HvwilsLC\/PIjq6N66urUhLm4V41nMAPSUlqXTqJM5h\/OY373L06Dqsc9KVqBuxbiQlRWNn9z3z54\/A9Axbfmx1EenZQCbJyVNYv36ysR56AaYD7ElJ0Xh5tef6dbU2v9FSWprO1q0zGT06CHf3tnz88W957bWXee21V\/j449\/i7t6WMWOCSEmZSWnpzgdcIzUgqhP17duV1asnIkSsDiigqmofKSkzWbs2iurqTNTj2MkD9KxYMQFHx+YsXToa8QwqTac1JlYl0nVANmFhXRk1KpDaPD1Tm28tUITBsAIPj7YMHdqdkpI0lHcQyDTWx4n0AlavnnhfbuEvfvFTvvjiE86eNe0+1drmPJezZzfx8cePbtSg0WiwsfnSWB9erakgmcBBMjLm8fnnf7wvR\/2ll16kqGgFyhAC9UV0+92\/fxU9enRmyJBunD27hfvTCvTcurWHXr1cjPWplfheSiRZmJ7pgwfXEBrqSmioK8ePb8Tyudx1Eekm9NQKO9PfahseRUYGo94u1jqjbWL8167lMGFCLyZNCqW0VGe0yfAA+9VEIVOnhjF4sI\/xvt9dxafWfkuPsy6IFMjz57fTr5873bvbkZOzDGVFqSyFVYl0083ORDy0D3v5DJSV7SMmJgInp5Zs3DgdMbkqyWtQF5Gu58CBVTz\/fFM0GtHWuUOHb8jNXU5c3ABjh9Uc1PuQFzJ37uDHCnQT+\/bNRz2T0r3kceHCdnr06MyuXXNJTp7Cf\/7z19sbsE8++b2xTriSntG6ICJY8+ePwM7ue2O+66MiWLlGG62hM7DE+tFTU6Njxoxw3NxsWLt2MpaN0NZHpD\/s\/crlypU0PD3bkZ4+C3WfCclG6IBjxMUNYPbsQcBRTA49y4\/vSSkgK2shbm42RofHw543NdiYAxSQnh6Pj08Hxo4NNmYAqHUtNzdWJ9KzEJPS4x5O8WBs2zYLR8cWTJ\/enxs39qAcz0FdRLqOsrLdODv\/gItLK1JSYoyhrSKqqrIJCXFh1arxqHeS1bNtWyxt2vyHTz\/9+PZm5E5eeeUlvvjiE\/z8OhmrvKgxtUekOA0e3I2xY4MwlZa6fj2dhIQx\/PDDv4yRITWVmhR5hSdObLztaTx4cA1184zU5f2VSJSC8FpqtQl07tySsWODKSlJxzJl4Ooj0h9FPgbDMtzcWlNcvBn1pxscZMaM\/sTERKAODfPoe3z5cipubjbs2jUH9a7vWQiHaSaRkT3o1q0jO3bMRXkOU0tjlSK9rogQy+XL6Qwf7k+XLjbodEoJsdRFpAtu3jR1YryzLJiBY8fW0anT90bxqsZdaSYmr1Rx8Sa2b49l6dIxODq2wMmpJcuXT2DnzrlcuZJKbW6zGlN7ClmzZiKBgQ6UlWVSO0GJjSRojffY0uOsK6ac3Sl06WLDjBnh1NToUGeqjkRSF0SaSGnpLiZMCMHPz5adO+MRa0ljCo5cYBuD\/vcdND\/\/F3svPalIzwIKiYoKITDQgfvTKdSGtYh0UV5y5Eh\/oqJCUW+zKZEuptUuJTDQgYgILy5c2I5McXwQz7RIr70IkEdi4kTs7b8nNnYAQuxaUlTUXaQ\/PKWlgBUrIune3f4e8ac2xMQkDoYWM2\/eUObOHQycRyyCuaj3xTZw4sR6HByaP2IzpUUdeZNCqJSUpDN2bDBdutiQm7uc2kNplh6fRNLQiK6IW7fG4uDQjFmzBlFWto\/GW0t0QDqrhrjgHtyLI9efJiqlo7Iyi9BQV1asGIe6D61bi0gvYMOGKYSGulJertYzWHmAjsWLR+Hg0IyVKyci3g+1R2saCinSjYid3dGj6wkOdmLAAC+OHFmP5bqu1UekP+o79Awc6M24cT2wjl3qAWJjBzBzZn9Edz1Lj+dpEKfzQ0NdWbVqAuoOW5ryCufi62vL+PG9uHZtF9bV+U0iqQsiQnv2bAr9+3vQrVtHY6pXEY3jjTZ1rTaHl1XP8ePCiaDXJ5jpOy2BNYh0PYcOrcHO7nv2709EfdFxobFOntyIv789vXq5cOyYEg5bKx0p0u9BD+iYP38ErVt\/yZo1k7DMLk+I9K2jvkHz8ntMznzSjqF5XLyYio9PR3bvjkfd3pAs4AAxMRHMmGENIr2Q6OhQAgLUHk7WU1aWycyZEdjafktKSiy16UeWHptEYilEGd1ly8bh6tqK+fOHY4raWn5s9UGk4\/n5dVJxSV+1i3QdFRXinNmPP0aivnVcPPfJyVPw9GzHvHlDqa42Vdix9NiUjhTpD8B0EGgxAQH2jBoVQEnJdhrXEy1Eenp0O97+4BNm52znySfHAvbunY+PT0fOn9+G+haJO7EWkV5AdvYiHB1bqPhglihpevDgWnx9O9Kvnwdnz6ZgHREbicQcmMqPrsbf347Bg30oLn5Q+VElIw62DxzobWwOqMbomJpFuojMTJvWl9BQV2pq1OTQEWO\/ejWNQYN88PRsh8GwApkCWR+kSH8EBVRW7mXixBCcnFqQkTGPxn64Km+lc+nyDsqqnuZApOiUN3lybyIiPBGRAbW85PdiDSI9l6tX03BxacWOHXGoM81FtGdesGA4bm6tSEiIRJ1eQomkMcinpiaL2bOH4OZmQ3LyFMRaohavdB4lJaLZWmqqac5S0yF9tYr0TEwOHW\/vDsZyi2o5gG9KgZxN584tiI7uYywjrNaUKUshRfpjEB28du2ai5tbK8aP70llZRaN96DlYJ60gRzKy7MICnJk2bIxqC9cZkLtIl2E+MaMCWT8+B4op+RnfcZfSHHxFoYM8cHf3479+1ejjIpIEomSERHaffsW4O3dgVGjArh61dRMz9Jjqwv5ZGcvxsenozFiphaxmIV6RXoeJSWpd2yO1CJw8ykr20NsbAQeHu1ISYkxjl2mQNYfKdLrgBAm585tZehQX7p1syUnZymNdxDIXBgoLFyBre23HDmyFnXmg6ldpBeyatUE\/PzsuHFjL+qatHKBApKTp+DmZsPs2UOMdfnVsnBIJEqggOvXdzFkSDc8PNqh1S5GHZ0vRerC9On9CAvrQnV1HupZ\/9Qo0kWa0YABXipKMxLpXQUFiXTu3JLwcE8uXUpFXeldSkOK9HqQB+hZsWIcbdr8h\/nzRyBElpo8CoWsXTuJkBBnY0RA6QvDvahZpOs5fDgJG5uv0OmWoh4PWhamvMLRo4Pw9u7A3r3zUYewkEiUiEgFSEmZiaNjCyZNCqWiQg0H6URFqpAQF5YvV1NEVo0ivZDVqyfg729nPLCrdIeOnupqLQsWjMDbuz0JCWMQ2kgtKV1KRYr0eiIOyx0+nERoqCshIa4cP66mMkJaIJdBg3yIjlZjMwS1inSxuPXq5czixSMRURhLj6lu44ZCdLoleHi0ZcQIf27e3I16FmeJRKkIz3Rx8RYCAx0ICXHl0KEklL+W6Dl82FQKcBXK31hkoT6RbuD48XXY2zfDYFiGstdp4T0\/cWITYWFd8fPrxPHjyagv00CpSJH+hOipqdExc2YEbm42rF07GVOnRcuP7XHkce7cVlxcWrF3r+kwrKXHVFfUKNJrw8QhIS5UV+eiDg+0gfLyLCZNEgenU1JmIvMKJRJzI9aNVatEMz1xCFtEbS0\/todRwLp10fTo0ZmKCjU01VGTSNdRUZFFSIgrK1eOR9nrcx5gYN26qdjZfUd8\/BBqakzNBy09NmtBivSnQBwqzcv7kS5dbBg9OpCSkjTUkTtWyJ498Tg5teDSpe2o56VSm0gXp\/O12iV4eXUwlltU8uKbhfB+FHD48DqCghzx97czlo2TpRUlkoZBeCMLCxMJDnYiNNSNM2dM5UyV6I0UQmzoUF8mTgxB2Z7eLNQl0guJigohMNAR5fbPEI6nixdTGTrUj+BgR7TaJcjSig2BFOlPicgjLC3dTXR0H3x9bdmxYw7iYVW6xzGfqKjexkMpajkEpDaRnselSztwdGzOtm2xKH8xE427li2LxM7ue2MnVLVEiCQStWOgvDyTKVPC8PHpwNatpsZgSszrzePChW04OjZn1665KLuUrFpEegFZWYtwcmppLLeoxHlXOCf37l2Eg0MzBg\/25fr1DNRXqUwtSJFutgsJ+aSkxGFv34wZM8IpK9uHsvP1dFRUZBIa6sqGDaa6vZYe0+NQk0ivbQIyfLgfyo6wCO\/5mTMphIa6ERzsSEFBIsr15Ekk1oo4B5KZuRgHh2YMGuRjFEFKnD8KyMxcgItLK86dU6qozEIdIj2Xy5dTcXFpRVraLJR5bslAefk+Jk4Mxdu7PSkpcSh3E2ktSJFuRkQI6MKFVMLDPfH0bEthYSLKPkBh4MCBVdjZfc+hQ2tQfiqGmkR6AcnJk\/H3t+fmTSWXW8wFDGzdGouPT0emTAmjvFzpG0yJxJqpTScYNqw7QUEOZGQsRJnpBPlMntyHgQO9EXOcEtc6pYt0EZEfNSqAiRN7ojyvtHDiFBQk0qOHGtKxrAkp0hsA0Y1x2bJxuLq2Yt68YSi7G2MBS5aMNB4CykJ5i8CdqEWkGzh1agOOjs3R6xNQZppLNpBPaWkGgwf74uTUgn371FKzWSJ5FsgD8lm3biq2tt8yd+4Qqqu1KMuZoqOyMotevZxJSopCmWkvShfphSQmjjc6dJRWblGkOyYmTqBTp+9ZtkwNB5utCSnSGwhxEOjAgTX4+9szeLAPZ85sRplF\/bXU1OTSu7cr06b1RdkHBNUg0nVUVWkJC+vKihWRKDONSITUMzIWEhTkyLBh\/ly+bOp+qNR7L5E8iwgv5smTm2+XuDt2TGkl7gwcObIWR8fmFBWtRHlROCWLdD2HDq3FxuZLcnOV5NAR0ZzTpzcRGOhAaKgbhw+roUSotSFFegNjoKYmizlzhuDmZsP69ZMRD7nScrhEWUZv7w5kZy8yjjFTAeO6FzWI9EKmTQtT8Ol8PVVV2cTERGBr+y3JydNR5jMpkUhqEWV\/Fy4ciZdXe5YsGY2ymsUUsGJFJL17u1FWlomyvMFKFek6Kiqy6dnTmaVLR6OcKEQOkM+2bTG4uLQiKiqUyko1NNuyRqRIbwRMB4EW4uPTgVGjArhyZQfK87Dmk5oqDr5evJiKMtNzlC7S89Hrl+HqasOZM5sUdg1rG3H5+XWiZ09nTp5UanRHIpHcj6nt+iqcnX8gIsKTixe3oYx3WKThRER4EhUVirKickoU6cJTPW1aX0JDXampUYpDp4Dr13cxZEg3vL07YDAsR6ZAWhIp0huRAm7e3M2oUQG4u7clO1tp+b8iR3nkSH8GDPBC7JqVMGnciZJFei5Xr6bh6dmOtLQ4lOMVEWMDPQkJY\/D0bMfChSMRz53MK5RI1Ec+5eV7iY0dgLt7W7ZuNTUas7RXPY+zZ1Pw8mpPRsZ8lOOIUppIF\/0zsrMX4e3dwVhu0dJzcQ5QyO7d8Xh5tWfs2CCuX9+FctJvnlWkSG9kRBhpx45ZODm1ZOLEEMrLM1HOi5DDrVv7CAhwYN26KJQzyZpQqkgXG5zRowMZOdIf5ZzOzwYKKSnZTkSEJ87OP1BQsAqxgVDaBkwikdQdsZbs3h2Pq6sNUVGhlJbuxLJriRCfO3fOxdu7AxcubEcZ0USlifQ8SkpScXBoTmpqnIXvWRaQT0XFXmJjB+Lq2ork5Kmoo9fLs4AU6RZACKezZ7fi729PYKAD+\/evRjkHMvIxGJbj4NCckyeTUVYemlJFehFJSdF4eLTj2rU9KGNyE7X7t26dibt7W2JjB1Bebqq3bOmxSSQS81DAtWs7GTTIGw+PthgMK7BsqUbhsBg\/vocxIqvH8uuakkS66J8xYICXsZGgJevfi\/Sp\/fvX4uraipAQF86fV0r6lEQgRboFEaWN1qyZhK3ttyxdOgZTWoLlx1ZAYuI4wsK6UFmpRTkpOUoU6XkcPbqe1q2\/MqYwKSH6kE9p6U6iokJxdW1l7AiYjzI2DxKJxLyIEr+bNk3DwaEZU6aEUVWlw3IOlhzKyjIJDHRgxYqxWH5OVJJIL2D16gn4+9tx65Ylyy3mATkkJETi5mbDokUjkN2llYgU6RZG7GSLilbRo0dnQkJcOX16K5b3qmuBXAIC7Jk8uTfKya9WmkjXUV2tJSLCk0WLhivgOolDygbDSjw92zF4cDdjCNzS45JIJA2LWEtOnNhgPBjuwrFjG7DcWmKgoOBHOnX6jiNHkrBsRFYpIt3AyZPJ2Ns3w2BYhmWimqKkZ3FxCv36edCtW0cOHVqLskp6SmqRIl0hGKioyGTq1L74+HRg8+YYLN9uN4\/Tpzfi4tIKvd5SE8q9KEmki7SlmJhwQkJcqKzUYdmIg57KymymTOmDi0sr42EySz9DEomkcdEDOSxZMgpHx+asWDHB+DdLeEgLWbVqAv36uVNVZcmIrBJEuo7Kymz69HFj5cpxWCa6kAMY2Lw5BkfH5syaNYiysn0oI3oveTBSpCsI4QXNylpC584tGTjQh9LSPVg2Z62QHTti8fRsx5UraVhe8ClJpOeTm5uAq6sNJ09uxHITnfCgHT26ntBQN\/z97Th5cgMyr1AieVYRc4JOl0BgoAMREV6cP7+dxi+LqAVyGDTIm2nTwmhYYZqNWENzqO2IaUrfOE5sbASzZg0Ejt3xd9P\/k2P8bENem0KmTg0jKMgS\/TNM3aV3MX58L7p378SuXfMQa4RMgVQ2UqQrDPEyXb6czvDh\/gQFObJnzwIsV6rRVLUkQAGHXLJQjkjP5cqVdBwdW7Bpk6kZkCXGIRaahISxODg048cfx2HKT7XctZFIJMrAQHl5FuPG9aRbt46kps6h8c+m5FFcvBk3N5s7GuWZ67tNefdFgJ6bN3dRXLyZ3NwE0tNns2XLdLZsmc62bXPw8emIn58d27fPYcuW6WzcOJXU1Djy8hIoLt7MzZu7EPOm+C7zrreif4abW2uKizfTuPOzcP5lZy\/B2bklkZE9uHLFVAVIOnGUjxTpCiUXKGDjxhnY2n7LzJnhVFVlYxlvbQ6lpXvw9GzP6tWTsGx+sxJEuhbIZ8SI7gwe7INl6smLRhhnz6YQHu5FQIAdOl0Clj\/LIJFIlEUOoiziPHx8OjBmTDA3b+6jcdMXi0hLm4WLSyuuXn2aiGy20R49olb8HvLylhETE87w4X6MHRuMv78Dzs6t8PBox\/jxvViyZCTz5w8lMXE869ZFs2DBMJYsGcm4cT1xd2+Ls3Mr\/P3tGT++JyNHBhAbG0Fu7jLKynYbf0dv\/M0nFbS5XLmyAw+PtqSnz6Zx10+RAjltWj\/c3FqRlDQFy6U+SZ4MKdIVjBBip05tplcvF3x9O3L4sKUOeBSQnb2YLl1aG1M7GvMl12IKm8JRZs8eRFzcAETYUmf8t8b0COSzadNUgoIcuXlzD42fAiTqI6emzsHbuz2RkT2MtfaVVCpTIpEoB7GWXLiQyoAB3vj726HVLqXxSjWKlvLjx\/dgzJhA6t9HwtSSvoCSkhRSU+MYOtQPB4fmDB7sy8iR\/ixePBKD4UdKSrZhigCLz9yZ2nJnCowBkzf54sUUCgtXsnTpaMaMCWLMmCDs7ZsxdKgv6emzOX9+y+3fr\/+48xk7Nojx43s+gd1Pikh3OnBgNb16OdOrlwsnTmxCOnHUiBTpKkDs5BctGoWnZzsWLx6NmGQaWxwWsmzZGAYM8KK62pTDZ67vzsZUUebuSVVMohUVGVy5kkpxcRqjRgUwYoQ\/587t5MaNnVRUZGCqCV77WVOeobknJAOnT2\/Azu57cnOX0PjCOJ+bN\/cyZkwwPj4d2LkzHtl0QiKR1A0hTleunEinTt+ycOEIqqu1NI7TJYcbN\/bi52fHqlUTqJtHWdQUhzx0uqWMGROEj09HgoKcWLlyAgUFP3Lz5m7E3L+fWq93feZ9kwNIb\/yOfMrKMigqWsmqVRMJC+tCt262jB4daMzjzqXu0dMi1qyZhL+\/vTF60RjztFj\/kpKi6NTpO2N3aaWUdpbUHynSVYLYGRcWrsbF5QfCwz24eHEbwqveWF5kHRUVWkJDXYiNjcA8BxN1iAm2kJqaLE6dSiYjYz4bNkxh9uxBBAd3xtXVhs6df8DbuwPTp\/fF1dUGV1cbpkzpg5dXBzp3bknXrm0JCXFl8eKRbNw4Fa12ERcubDVeN1OO4dOPtbIym169XFi4cDiNm4euAwrQ6RIICLAnIsKbCxdSafyDYBKJRN2IEnzHjm2gZ09nunfvxKlTm2icLsQF6HRLsbH5isOHk3i4cBSe\/8rKTLZtiyUoyAk\/PzsmT+5jbPxn8oTnYf4DnyaHkek3cjl+PJlZswbi5dWRgAAHtmyZSWVl5mOumZ7Dh9fRrt3X5OQk0PDpRaLaWHHxZoYM6UbPns4cOCC7S6sfKdJVRj7l5XuJixuAu3sbtmyZgXj5G8urbuDEiWScnX9Ar1\/Ok008pgkwn\/LyDPbuXUhUVG9GjQqgS5c2uLu3ZebMCNati2b79lhycpZy9GgSp09v4Nq1NK5e3XGbkyeTOXJkDdnZi9i2LYbExPEMHx6Ai0srevVyZuRIf+LiBlBYuJLaDUEuTzapFzBv3hACAhyorQbQGNc8j5oaLQsWDMfO7juSkiZTu0BZ+nmUSCTqxEBVVTbz5g3F07OdsRV8Y0Roi1i8eCS9ejlTWWmqyGL6t2xM4jgtbRZ+fnb4+HRg9eoorl1Lx3wOl\/pgGlMRN27sZvPmGfj5dSIw0JHNm6dT66W+c0yif0Z4uAcJCaNp+Dz0HOM1m42LSyuio3tTUSHuseWfM8nTIUW6ChE5yXv2zMPV1YZJk0KMDWsa6yBQIRs3TsXV1YZr13ZR9xCeDiiiujqb3NwEJk4Mxd6+OYMHd2PixBBSU+OM+YR3eklMOYS5Rkwltkwi2fT3O\/\/ffEDLmTOb2LBhCiNHBtCzpzPdunVi4cIRHD685q7\/r25jz6eg4Ef8\/Dpx5swmGkcgC4\/XyZMbCQiwp0+fLhw9asnmJBKJxLoQETqDYQU+Ph0YNMiHq1fTadgInY7q6lxCQlyYPr0ftRFJUYXkyJEkevVyxt29LatWTaTWuaKErtemajJaNm6cio+PLUFBjhQVmTzWpjEWMnNmOH36uFFT09DlFgsoK9vD2LHBuLrakJW1SEHXS\/L0SJGuYgopLd3J0KG+eHi0Q69fQeMcBBKe8MjIYCZM6Mnjxa6YZCsq9rJ8+Vj69OmCl1c7Zs8eTH7+csrL9yImOFNutTkWB1N+eyGQz9WraWRkzGP8+F64u7chIsKLnTvnUJvz+Kjx51JauhMvrw5s3TqDxjmdL7wz69ZF4+XVjvj4odTUmMZq6edOIpFYF\/ncuLGL6OjeuLraGOfGhjzroqe4eDNeXh3QahcDB6mp0TJ79mBcXW2IixvI9evpKDdVQ6SflpfvIz5+OI6OzZk6NYyKikzgMFrtEtzd21BcvIWGywU3lVZchKdne0aPDuTKlR3IFEhrQ4p0lSPEXErKTFxdWzF5ch8qK7U0\/CGRXEpLd9G9u50x5Peg\/GwxkV2\/vovlyyNxd29Dr14ubNw4laoqUwmwPBq+OosppCoOol65soNFi0YQFNSZ0FAXY2dOLQ+ORIjcyMjIYEaODKDhT+eLvMIrV9Lo188DH5+O5OcnIr3nEomkYTFVjYrD3b0NU6aEUV6eQcOdvcln27Y4\/Pw6kZmZQN++Xene3Z6iotWop8mOiA708Y9OAAAgAElEQVQfPZpMcLATAQH2pKXNw9fX1piK2lDXTk91tZa4uEG0bv0l69ZF07hpr5LGQ4p0K0AIu1OnNtG9ux1BQU4cPbqehvVCZAL5aLWL6NDhW2MKyJ0bAz2QS0rKTNzcWtOzZ2cyMhZQ6922ZCguByji1q0Mtm6NoXv3TgQEOJCTY8qxv3NxKCQ5eQo+Ph25dm03DbtwiHrGqalxuLraEBUVyo0bu2jcesYSieTZRawlly\/voH9\/Dzp3bkle3goaZi3JAfbj49ORjz9+nwULRlJTY0onsfR1qC8iPTMxcSIff\/xrOnf+AZE\/b27RLBxfhw8n4efXiYgIT44dM6310ntunUiRbkWIsoMJCaNxcGjGkiVjqC1H2BC\/J7zM8+cPpU+fLlRV1aaYFBWtIiDAAU\/P9qSlzUaIdks0\/XkUYkGoqNjHokUjcHb+gdGjAyktNeVk6jl5ciOurjZkZi6kYau55HPz5h6mTAnD1bUV27fHIksrSiQSyyAitEuWjMbdvQ3x8cOM6XbmitDmALksWDAMH5\/27Ntnya7a5kKkn+TmLsPLqz1Tp\/al9tCpOb5frOXLl4+nS5fWzJ07hNrSkZa2XcmYGmCZDvga7kBv\/HtDlGs2F1KkWxlip52Ts4yAADvCwz05f34bDZenpgN0BAQ4sGzZGKCQhIQxdOz4LbNnD+bWrb0N+NvmtGE\/585tZfjw7jg5tTBuLAoYMqQbCxYMpeHy0MX9KihYhY9PR\/r1c+fKlTQVXDOJRGLdiPK1J05swNfXlrCwrpw4sZmn96rnUVWlY9gwP4KDnSgu3krjlrNtaEQkok+fLvTu7WaMwD6NkBbOsJKSNIYN646HRxsMhhVYpqmh0rmzI21tcYjLl7dz+vQG9Ppl7N07n8zMBezbt4C8vKWcOLGeK1e2U9sAy\/RZc52Pe1qkSLdSDFRUZDF+fE+6devA9u2zabictTwuX06lWzdbOnX6nsBARw4cWIP6PCO5QAEpKTH4+trStu1\/6N\/fA\/HSNsRkaKCmRsu8ecPw8mpPUlI0lmlSJZFIJA8jj+pqLXPnDsHO7nvWr59G7Xmi+n6XnmvXdjJwoDcDB3obq4OpMb3l8desslJL\/\/4eeHi05caNJxXqIgVy48bpODm1ZObMcMrK9lnpNXsaRBQDDFy8mMLu3fEkJo4nNNQVV1cbfH07MW5cT6KjezNjRn9mzuxPTEw4Eyb0ZNKkUHx9bXFza82gQd348cexZGTM4+LFFOM9s7SOkSLdihEv+K5d8\/Dx6cDo0YHcvLkXUxdP8\/yG2OUXFa2kXbv\/MnKkv7H2rVrzqLOBIi5c2I6PTwc8PNpx\/nyqme2pbSYSFtYVf387Tp7ciDwcKpFIlIko1ZidvYSgIAeGDevOxYv1baaWy7Vre3B3b8vAgd6I9cmaez2I8sDh4UKoX7u2px72ZgMGbtzIYPr0\/jg5tWDbtlnIFMh7r5HoNF5Wtof16yczenQgPXqIBoizZg1i8+Zp6HRLOHNmM1ev7qC8fA81NZm3KS\/fQ2lpGqdPbyQ\/\/0e2bJlBTEwEHh7tCApyYuhQPzZunEZZ2R6ersfK0z1HUqRbNUJEX7iQyoAB3gQE2KPVLsU8pRpFqsb69VNwc7Nh82bTaXZrmERE\/l9UVB\/s7L6nsHAV5hHqogZ8UtIU7O2\/Z\/784Y3YllsikUieFCEcS0szGD68O46Ozdm3bzF1W0tyqKnRMniwD4MG+VBTY+p1YWmbGpocampyCQ\/3xMOjLdev7+bxc70pt305Xbu2YeTIAC5dMvVBUUL6hRIQ4vz48XXExg7A1dWG3r27MH\/+MI4fTzb+uynn3JS6okNolnsx9V4xnd8zADkcP55MfPwQ+vXzoGvXtsTFDeLEifWI570xo91SpD8j1IpDO7vvjOLwaQ61iNrn8fFDcXH5gayspYgcOWuaRMRkmZg4HgeH79Fql\/Dkuelis3Tx4g4GDPDG398OnS6BxqlrL5FIJOZCCKCUlFn4+HRg4sQQysszeXgKhih\/GxkZTFhYF+MB1GcppU8cWuzXz51+\/dypqNDx8DlflFaMjR2Ai8sPJCVNwTzFH5R8MLI+iCh0SUkqcXEDcHBoxrBh\/uj1y4zPVZHxWj2tDqntMltToyU\/\/0dGjw7C2bklkyaFUlKyg\/o1Q3wapEh\/hhAP+PHjG+nVywU\/v05PmGYhvmfGjP60a\/c1J06YumBa2r6Gu2amVtDZ2aYoRH2+Q6Qd7d49n06dvmP4cH9u3jTVibe0fRKJRFJfRKnG4uKthId7EhjogF7\/Iw9eSwpZtGgEwcFOXL1aF0+yNZJLdbWWvn27MmVKGPenCYmo9JEj6wgP9yA42IkjR8xVRllHddlOSm\/uQd1ONAM1NTqWLBmDh0dbIiN7GPVLIbX9Vhrid02R7gKOH9\/A8OH+dO7ckuXLx1HrsW\/YZ0eK9GcOA9XV2cybNwxPz3asXRtF3Q8siq6X06f3o23b\/3Dy5CasV6CbEAtSdvZSfH1t0enqI9QNlJdnMW5cT7y82rFlSxyy6YREIrEORIQ2IWEstrbfsWKFSbiYhLg4iO\/o2MK4VjzLBx7zuHgxDUfHFqxePQnh9a29homJE2jV6l8sWDCS2uZ7T\/ubBVC2moDWn9JxwjQzfWdjI6LQpjNcXl7tjVFoA42\/4RMVY7KzlxAa6kJIiCtHjybTsNXYpEh\/RhEHgQyGlXTr1pFBg7zrUPpPHAhNSoqic+eWnDy5gWfHGyyEemrqLOztmxlLYD1KqAsPvF7\/I4GBDoSHexpLjcmmExKJxJoQc92hQ0mEhrrh59fJGF09xKlTm3B1tTGWtG2oMrZqooCcnKXY2HxJUdEq4AglJdsZNSoAf397tNrFmK+aSAGQzpw+3\/CcRkOzcTNQ3yZJPFvr10+lffuviY8fakxraejO349CnM2oqdEyfXp\/OnduQUpKHA2XuipF+jNOPjdv7mby5D64ura6XR\/8wYd6Cti9Ox5n5x84dGgtz96kK3b0SUlRODv\/wLlzW3iwZ0JEJVasGIeDQzMSEsZSe4DF0jZIJBJJQ2CgsjKbiRND6NKlNWlpsxkypBvz5g2l1mssgSKWLx+Dv7896enxuLq2YsKEXlRWmnqKmOM3CuD6RqaF\/geNRoNG05QO0TGoS6SLeufz5g2jffuv2bVrPpYvh3gnOqCIjIxFuLq2YsaMcMQ6b+4D0VKkS8gB8tmxYxbu7m2YPLkPN2\/u5m4vuYFjx5JxdbVhz555WH+Ky8MQQn3KlD54ebU31qzNuePfCjl5cgMBAfaEhrpx9Og6GqaltkQikSgNcdi+qGglrVt\/RUCAPeXl2ShHWCkBHTU1eYSEuPDPf37K3r3zMZ8XVpQlPJkRSatPf4Hm9Q\/p6tGC9996iZaq8qTnAlrGjAmiRw8nzpzZgjIb\/Ak9cOLEFtzd2zBkSDdqO5ia71pIkS7B9LBduZJG\/\/4e+Ph0ID9\/JeLF0FNauofOnVsyZ84grK+KS33RAXkMHOjNpEkh1HYp05OSEoOLSysmT+5DZaU522hLJBKJGsjj4sUUHB1bUFDwI89OSmR90HP8eDJOTi04dWoD5lsntEA2G0a24U9\/+5LZ6Zu5WTiOP7\/9PN+MmY46RHoOlZU6hg\/vTlCQI6Wlamh4lc\/167vp0qU1ERFe1NSYU6hLkS6554EAPUlJ0Xh7t2f+\/OFUVOQyZUofwsK60rCnqNVEHlevptGtmy3btsVw48Zehg71xdOz3R356tJ7JJFIniWEs2fEiO5GB8azGnGtC4UsWzaa4ODOmDzH5rn++zh3aA0lt7KBw1zLHspHbzbl27FqEOnCsTVmTCDBwU6Ulu5BPY4u\/e1mXSNGdDdea3PcUynSJfchDmucPr2R3r3dcHFphadnOy5fTkPmVd9JAVlZC2jb9mv8\/OyIju5Daamp6YSlxyaRSCSNTQGZmQvp2rUNV66k82w0LHpSdJSV7cPHpyObN0\/HvGe8TA18CricpRaRLjZ48+cPIzjYkWvX1FiuU8\/167txdv6BmTMjME+KjhTpkodSwJUrqXzxxSekpMxEHv65l2ygiEmTQnBza408HCqRSJ5dtNTU5BAa6sqyZaOR60VdKGTTpqkEBjoazzeZM\/oqRK96RHoBW7fOpH37\/1JcvEXhY30UBk6f3oiDQ3PS0mbx9NEkKdIlDyWfyZP7MGpUALIl8cPI4caNPXh7d2TXrrmod2KRSCSSp0FPVtYC3NxaN4DgtFa0QA5BQU5s3WpuEa0mka7nzJlNtG\/\/X3bvnov6K8cVkpu7FDu7742lqp\/GeSdFuuSBGDh0aPUd9dClh\/jhFJCWNgtPz\/aUle1FLk4SieTZQ0\/Pns4kJo5H5qLXBwNpaXEEBDgi1g5zOcPUItK1VFVp6dvXnfnzh2IdvUREpbcpU\/oQFOSIiLI\/aX66FOmS+xDF+gcN8iEmJhwZtnwcWmpqdISEuLB06Sh5vSQSyTOGgf37VxoP+8lc9Pqh49atvfTo0ZkdO2Ix3wZHLSI9n1WrxuPj0xGxSbEWJ5eOqiodAQEO\/Phj5FPcVynSJfehR6dbjKurDdev70ROuHWhgD174vHwaMf167uwnolGIpFIHoUQg5GRPZg8uQ\/SSfEkFJGQMIqhQ30RUWtzeJLVINJzKSnZTrduHdHrE1BPJZe6UoBWuwg3NxsuX07lybSUFOmS+8gnIsKLpUtHI8OWdSUbU7h35cpxyAovEonk2SCHixdT8PXtxLFjSVif0Gqca3jlSiq+vracOJGEKMn4tN+pBpGeT2xsBBMm9DKOTe1pLg+2cdKkkKcoSSpFuuQu9Bw4kIiHRzvOn9+K9KLX79plZS3E3b2tPDglkUieEfSkp8829tHIxTqFVmNgYNSoAFavnoh5xLTIi76UMYCfaTT8bchklOU8yuX48SScnFpSXLwZ693c5XHixHpcXH4wNq6q7\/k+KdIld1HApEmhREWFYh0HOBoTHZWVWfTu7camTdNQ\/wl1iUQieRx6hg3zM9b6tlah1TjXMSNjHj17OmOezY6I7l4\/HEuwe0uGrl6KeTz05iKfmTP7G7WGNUfsxWYpMjKYyZN7P4GtUqRLbpPDpUvb6N7djmPH1iErujwJRaxYEcngwd2QXiWJRGLd6Lh+fSfdunXkxIn1KEsEqo0cSkq24u9vz6lTyWa6lpnG7zmAiIpnKsBO8dxcu5aOv789hw6tMpOt9bkmOmC\/8Xfre030xs\/Wp1qLniNH1uLj05FLl7ZTvwwFKdIldzxImzdPp0cPJ6RAf1J0lJam4+nZjiNH1iAXLYlEYr0UsGNHHMOG+VFVlYV52qA\/q2QDeYwdG8yKFeOw7khsIStWRNKvnztCsDbmc6MDdpG9KYptuiRq6pWWmkvV5SSSV0WTX5xej3GLqEZIiOsTRJykSJfc8RAFB3cmOXkKyjtgoibyGTrUz3iAVF5HiURijYiOy6NHBzJmTBDKqOqiBw5S91RNg\/H\/V0qu9n4WLBjO6NGBRlusMRKrBXSMHBnA+vXRNO5mRAsUcnRzCG9rNHwRNIRKCup4nfOADOJ7\/RON5hVGbEyifs5MPdu3x9K7t1s9760U6RKygBwuX96Ou3tbjh9fh\/QAPw160tJm0aNHZ2REQiKRWCdaqqsziYwMJj19NpYXulouHl7IwkWjWLZiFhduZfNoIZTHrQuJ\/LhsNAvXzuZiedZj\/v\/GQM\/+\/SsZMyaIW7estZRvLqdOrScoyJHr1xuzpr4OKOJK4VRs\/\/wWGo2G1hGjqaxTN\/U8QEfGXC8+bKJB0+RXRG9bT\/3W9xzOn99C795duHgxpR52S5EuIQsoYPPm6YwZE0RNjTm7nj2L5HD+\/GaCg504d24zcsMjkUisjxwuXNhK795uxnnO0pXA9FzMG8\/f39Kg0byAa1QsNQ\/dOORC9TYmOv8PGo2Gv\/tEcLHcXPXJnwYtZWV7cHdvy5Eja7FOJ08eO3bEERHhReNFmvOAAk5lTsTuozfRaDRoNBraPFakizKWkMm2GA8+fF58TvPSr4mqt0gX6UyDB3dj2bKx1D3yJEW6hGwgn3HjehATE0Hjhy3zEM\/V48JOIlQlxvcoD0Mu4mCHpbwQIpw3alQg69ZFYd25hRKJ5Nkkj7y8BBwcmlNd\/TivdWOgBfLIXeDJm89r0Pzqc1bmpHG\/kBLrXUGiHz\/XaHj9iw7kXRRztuWvaRaQT8+ezqSlzcI6q+XkM3Zs0FOUmsw23qtcI49zKuZBZTrpi4P4+\/svodFoeOMnL9XBky5SgG+dXcm0sJb8RKNB8\/wLvPlSEzQvvP8EIj0L2M+cOYON6Ux1rQsvRboEHeXluxkxwp+8vMbs+pUNaClMHoh9p29x79OXYzcedogkB9hHWnx3bG2bEb1qKTUPrJ5igOtrGNXXgakpiVjOi32AadP6MmyYH7KUpUQisT7y2LJlBiNHBmD5VJfaMVG9nUmef0Gj0fAXp16U3Of8yYeLi3H97CdomvyWqK3rUZYY1rNkySjWrJlE\/UWg0teZbGpqdNjbNyM7e9ET2JeHWE8zuHRpGyUl27h2fa\/xbw\/6Lj1VF5bR1+VTXtJo0GjewHVEGJFdP0ej0fBD+MNEuvB6H901jO8++RkajYZXPvic0XP74\/rxC2ia\/OoJRbqe\/fsTGTeuZz3SmaRIl5DLsWNJ+PjYcuNGOo3rUdBz\/UgcNn9oKkKUE2dQfV8dUS1QwLGtffmwqQbNh\/8l5eDOB4zTAOxlxaDv0Gg0dI6fj+UObhrQ6RYTFdWbysq9yKoHEonEusgjMXECK1ZEoiyRW8CtozG0+PXLaDRv039JArWbiFwgg0Vh\/0aj0dCy7xjK6nxwsPGua0rKTOLjh1B3EahDrHX5KHutyeHSpRTCwrpy4UJ9myUaoCyF7Uv6Eez4BW+8\/jKvvvoyH\/z5n\/SJ7Mfuw9u4f70vpOLgBP70moZf\/M+\/mbxsCZDLmuD\/q4NI17Mrph0azfP8w9adrYXpUL2Kbr9\/Do3ml08o0nWUlqbRrZstp0\/XtcymFOkS9OzcOYcuXdrQ+JOtCD2e2NqP3zfVoHnrE5bkpN4zjnwqzszH5S+vodH8lklb7vV8iGYBsIfkaHveaipyEv0TFlvAHhOi5nxYWBeF5GtKJBKJOclj1qyBbNs2E2XlTou0l+wEL97VaHjld1+x5dge4xjzObapF+8\/p+Fnn3ZAe1mHctJcTIj1OCTEhcc3vskFCqmqymTHDlGsoLh4E8pdb\/QYDMuYOTOcysoM6r6hMMDlRAa6\/JXnjPnkr772Kq+99iovvyj++4Xf\/C\/Tkldzt1DPpezsMhYvGIPhbAYiDXYfS\/3++hiRLp6jo3ujWbAyjmsYxGevLsbjw6cR6VlAHm5uNmRlLaRu+kSKdAl5rFsXzYIFw7GMqM0BMljU77801Wj4\/Tdu5F81TZ56YAdRHv8PjUaDa+R0au5KHxE73munlzPC90te1mh46eVX0DR5ie4WFenZQA7Ozj+g1S5GWYuYRCKRPC35+Prakp4+B+XNb3nAdia5iLSX\/+vanxscgStL6fzZG2he+4Cpqckos0RuHjk5S3FxsaGmJof7BaQWsa4VcfnyDn78MZKOHb\/lxRdfQKPRsH17LMpJP7qXQpKSopk8uQ9i3a9bTjYVKUS5i3v5q79\/z8xV8zl7KZVLl3Zw5mgCcWE\/8PMXNGh+\/hlLtCnc6aGuMToCxe\/pgL11FOlZxs+Y\/l0PV8wh0g1ER\/dmx464On5einQJeqZP729sZW+pyTaf6ssJ+PzvO2g0Glr0Hc0t4+HP1On2vKLR8FFzD46U6an1fIgDJLo1Yfz1g1fQaJ6jjWcwE\/u0RKNpgq9FRbqwadSoAFJSlOZpkkgkkqfFgIdHOzIzF6LM+a2AW8djaP7hy2g0v2b6jkS2TGyNRvM8zhOmUaXYVvS5HD68Bnv75lRV3ZkqKUoIQh4HDqxi5MhA\/v73\/7ldqcREz57OCI+xpe14EAeZOrUvI0b4U7ezWkIcH1wfzNsaDW\/97Qf2FGcZr4Pp4GghoGVdZGte1Gj4rHNfrt0lvO881FxfkX7n380l0vNYtmwMGzZMqePnpUiXkE+3brbs3DkHy3qe8zmTMZzP32qC5rnfMHXnFq4dmMjnr2to+suv2HJ4D3fncGmBTBYP\/oGffPj\/GDI\/liry2T65IxqNRgEiPY+VK8ezdu2THACSSCQSpaKlomIvzs6tFNxZWXiccxd48MbzGt797R\/41RvP8duW7hy\/ZUC5uds5nDixHn9\/e8rL9yC8\/YXU1GSzadM0AgMd+cUv3r5PnJuwsfmKulcOaUxEOcPhw7sTGzuAumnJHCCNqY5\/QqN5Ab+ZS4Bi42fvpBiuxvOf95qgee9fbDq1jwenMdVXpN+J+UT6pk3TWLhwRB0\/L0X6M46W6upsHB1bUlCwAstOtjlADilR7XhZo+F3X7Wk8\/cfoNG8TZ+Epfz\/9u49Kqozzfd4zSQ5aWOSk5g105M+vboznXVmTtZkuvt0zznpdCZ9JmnjLaKJiqKA3KKiIAbFGxgjCggqXlARxRsRvKU18QIiVwG5SlVBQYEao0bxjiBgRFH4nj92lRgFLRCoTdXzx2clCynYdWHv337e933eR4fwtEARP3y\/B+PFo5hbMx4MH6qakJ6eHtPBBUBCCKF2OpqaCnByGsjZs\/tRZ0gvRun2ksHyz\/6ghNjXfsv20kzUfT7WU1eXRUxMIDduHOHGjSy2bQvho4\/+1G4wf9CHH\/4flOveaR4Ns9Z0CrhAeLgfGzbMw7IsWQ63v8Hr3Z+j0TzH2++8x2jHgTg69n\/IQMZ88g6vv\/x3aJ7\/DavzUtt5j9UR0lNS1hAXt9DCx0tIt3M6Ghvz+OyzTzh3LhHrn2zLoTGRoJFvmU46zzNybgQ\/PnYFfhlKwNcBOlWF9KysWGbPdkOdcx+FEMJMaYlr2fe2hvQzZ9Qc0ouB45xLn8EzGg3v+MznHsdRX5X5QSXcuJGFi8sQvLyG88Ybr1sUzs1+\/evXWbHCn5iYL4iJCVSZBQwd+hfi4oKxLEsaoWY7g\/\/4Wgdeg38gdP8B2r72qyekK2sAJaSLJyrh0qXDLFnix40bR7D+Snc9UEFe9EjTKu5\/JPjAtzx5lXsx6gvpyip9N7ePUe9CHiGEKEYJKqVY1savN4V0I2cylJA+YHaoqcWv2kP6EcaP\/5h587x4\/\/0\/8Mwzf29xSH3jjV+wYsV0FYf09zsW0q8nMPD3L6HR9MN9XiC7dy9j9+7w9u2K4sTFo+18hiWki16nlPPnk4iM9Ke+Pgvrh\/QK6iqi+Oit\/45Go5yYXnvrA9JOF\/DkC4H6QnpR0Vd89tknWHaTIYQQ1mAgMXEVc+a4mTa0U7ZRb78Dh46mpnzTdJcDqD2kn06bzjMaDf0DFnFX9SFdT23tEdaunc2tW0dpatKRnh6Dp+cwXn\/9yRXl\/v3fMb13ap3uMpXYWEunuxihfhfD\/vAyGs0rhO5PAqqA7x5yEvgeOGv6r7Jera3XVg0hPTV1relGRUK6sOADUFV1iGXLPqeuztohXZnqMmvAL9FofobnornM\/OQ3aDQafufqT\/UT\/5jUFtJLOX16H66uH3PvXvETjl0IIaxBOW+OHTsQjUbDz3\/ej2HD\/h9JSau5fTsfpXvGw+dRHc3Nx3B2Hsz336t14ahZbwvppfzww0EmTvyUpqYCzP3dlR7jXxMc7M2bb\/6y3ZDu4PAX0\/ulxud4nIgIP6Kj52BZB5pS4AhLR\/0rGo2Gf3Obwc02u8LoAC03azO4Wp3Oj01tBfRi1BLSk5NXEx8vC0eFRdQS0kuBQv62ULlQvDl8Ehc5xS3jEn7\/6t+h0fRjdnxbi0cfpL6QfvbsAUaPHsCdO3mot5uAEMJ+Gbh8+fD9EGD27LPP8F\/\/9R\/Exs7j4sVUlOrsg11RjLi7O5CfvxV1L8TsfSH99On9jBrV\/6HdqnUo1z8j1dXpbNmygAED\/sRzzz37k\/dt4UJvlCYK1n4ebfmOtWtnm47R8haMFbu9eFmjQfP8PxORsg8lhxponZ51nO8Pz+Tf\/\/EF\/uHt\/uRcVnd3l4SEEFJSLG15LSHdzqkhpCsnnzPJn\/PrZzU8+8Z7pJ0pRLkg6CnY4so\/aTT0eePPpJx93LQX9YX07777Bi+v4abj0N8\/xq6h5guNEKJ3KCc\/f8v9zXDa8vbbb7JgwSRTB7ASlIB1ggkTPjVtymLN8+yT9LaQbkCrjcfZeTAtLYY2jtW8dqCSu3ePkZq6Fi+v4fTt2weNRkNOzkbU26iggsOH17BqVQAtLebr4ZNfDxoTmfuxMqr+3C\/\/jQXRK\/juUgbXr2dxtWo\/SXG+\/PYXz6PRPIdrxBoa2\/08qiGkl7N4sS8ZGTEWPl5Cup17cE56NtYJ6ZXcPreeQW\/2QfPsawT+bSfK3fExzDuOrnT5LRqNhv89bjrVd9tb2KS2kF5GXt4WPDwcaGkx0NRU0KWUE3UF5uqKEKI7lKFcTG3Vd2RlbXikItuWF1\/sg6fncNLSomlpKSUhIYTU1LWou5JewalDvmhM3V3uWlTBtaYysrNjmTnTlSevZTLfMJVQVraTyEh\/amvV0ACiPQZOnNhDdPQcUw94S0K6FiinsSoen6H\/6\/5n8bmf\/YwXXuhDn+efMX2tLw6zgrjYZHjMz1VCeoLX20q7ypkhHQzp8bj8QoNG8xrL0g7S2Ur62LGD0GrjLXy8hHQ7V0J1dTrh4VO5fj2Dnv\/jLoOWDJY5K1v+\/nXGYu48MlRXQeO59Qx88wU0mhcZH7WeljZPXuoL6WVlu3jrrX\/GxWUwTk4Du9AAxo\/\/GE\/P4Xh6DhNCdJPw8KkkJIQQFxdskxISFhMQ4NqhDiIajYZ33\/13Pv74P01dKtRauS0G9Ny8spevd4dzpOQgLaoNsGYGUlOjOzBn2XztK8O8+6b1n0P778WNG0eYNWs8V57qXXMAABSvSURBVK+motxkWPpYI9w8zMHYGUxx+hOvvtyHvn378OL\/+BVjfLyI3\/8VjTxpkyolpO+Z\/h79+r3MqIVLuWvxxk9lULcTn9+\/Qr9+\/5N1OYc68P60\/v7a2kymTh3TgecvId3O6bh7twBn58GcOdPTq\/T1wDGSIobwnEbDa\/85grJqHY\/eKCgnIEO8J6\/8vQbNq\/9KXF5KG8eqhPT9oYPRaDR4bo\/H2tNdCgvjmD9\/AqdPJ3PmzP4ucoDTp\/dx7Ng2cnM3kZu7WQjRxfLylP9mZq4nJWUtqam26ciRjYSF+XSwzd\/rODkNwN9\/HHPneqDu7lXHMI8YKNeM9hYVqkUZmzbNJzFxFeoeoegMLVCCl9dw9PqETjw\/c9ehQmprM6mpyaSmPgflOm9pRbyYOz9mU1OTScOtfIsfA8XQUsiPNzKpqTnC7btFnXpvS0t3EBnpz507BVh2QyUh3c5paWnRMWbMAEpLd9BzJwVlXt2V0mV88JtXeflXfyBem0b7odoAzZmsmvwOr7zUl9+Nmcq5Hx9uD6aE9MMrHenX72X89+58zM\/rCcr2vzt2hKFUOEq7mAHbH4oXQnSvk2Rnxz5xusuzzz7DH\/\/4FlFRMzlz5iBwilOnvmXMmAE0N3dkIyTx+OtiGd7eo8jN3YS65\/p3VhmxsfM4eHBlJ5+fFqWQZ74Omjcy7MjPKDE9tqOP0z7wezszZeo4GzYEERn5OZbfVEhIF1QwbdpYsrNj6emTQtOPWVy5kkZNfT5PHvrRw718amoyuHwtk9vNbVdEmhqPUlOTyY93Cq38uhrYs2eJjVZEhBC2QanuPf982wtHX331JRwc3ufgwShu3syhtctLKTU1GQQGenDx4iHU3Yaxt9Bz61YuXl6fcP58oo2+pgby8jYTFOSJbd6EtEcZRQgPn8qhQ6tRCneWPE5CuqCMzZu\/5NChKHo+TOpovRu25PvNd8CPm1dovsu29uIgI7Nnu5OV1fM3P0IIYZlSamsz+Zd\/+fVPwvmvfvVPBAZ6UlycQOsi9QdHL3U0N2uJiPAjM3M96p7y0luUU1KyndDQKR1YWNnblHDlymH8\/Jy4di2djs1L782U\/vcuLkO4fj0dy2\/AJKQLDKSlRbNu3VwkTHYVZRrRyJEfUl6+C6mkCyHUSQcYmDLFEY1Gw3vv\/Y5Vq2Zy8eJhlIp5BW2HRS1wnNWrZ7F8uT+WVwZF+04SFTXTVGW2fI5176JM6VmyxI89e5ag3p7uXa2cpKRVTJ3qBBYvVi1GQroADBQVxTF+\/FDUUYG2BSVcvZrK3LnuVFfbU7VACNH7GCgu3kZCQgi3buWhBG4DT67klqPXx7Nw4SSamgot+H7RPqVpQkjIFA4cWIFt3\/RUkJy8mqAgL+7dM+\/7Ye1j6k7KXPZp08aaRp06UgyVkC4o4cKFQ3h4DKO+PgsJlF2hgqNHNxEVFUBzczG2fxISQvRurT23LX+Mntu3Cxg58kNOnNiDjBg+3et\/9WoKfn5OdlDY0XP7diEeHg4YjfYw0mykrGwXkyePpKEhu4PvrYR0gY7m5iKWL\/ensDAOZZjN2sfUmynDwGvXzmblyunYdkVECGHfyomM9OfbbyNRd790tSsjK2uDqaWlPbyORnbsCGPJkmnY9jVS2YxpyZJpbN26gI7nKwnpwhQqw8OnEhHhB5xQwTH1Zjqam4tZuTKAvLzNyE2PEMJ2KdMlJ092RFm0L6OGnVPOnDnuJCevxj5CegnXrqXh4+No2qPFVqvpBk6e\/AY\/Pydqao7Q8Y49EtIFxUAFOTkbCQ6exL17xciJ9mmUcu7cQby8hlNfn416t2gWQoinpaeuLpspUxwxGndjHwGzq5Vy6dJh3N0duHTpMLY91eVBlWzePJ+QkMko87RtbT2cFjCycKE3cXEL6FwHJAnpgmJAR2NjPhMnjuDUqW+wzf6sPaWMtLR1hIb6IBcsIYTtq2T16pksWeKHtGLsjBNs2BBkCqu22tWlLSXU1R3Fz28MpaXbsb3rZSX5+Vtwdf2Y2trOFuwkpIv7ygkL82Hv3qXY3h9LT1HaSwUEuJCZGYO0tBRC2D4DP\/xwEG\/vkVy\/nob9VIK7gp76+qN4eg6joGAr9neTU0Fq6lq8vIbT1FSE7Xx29DQ1FTNliiNJSVF0ft69hHRxXxlFRV\/h7T0SmVvYWaVcuZLKtGljuXYtFds54QghxOOUExo65SmG9e2VkcTEVfj5OWGfRR0dUEJwsDexsfNQPju9fSRBC1SwYsV0Fi3y5umm8khIF\/fpaWjIYeLEEej1CciCx86oZOvWBaYV6x3ZsEAIIXozAydO7MHLa3gnF8jZIx0tLTomTRpJTk4s9juCbaC29giTJ48iK8sWdq89TmbmekaP7s\/Vq2k83aJYCeniJyrZsGEe4eFTsY072p6k4\/btfAICXNFq45GbHCGE\/VCm+oWGTjZV0225rV5XqWTPnqX4+o7mzp1i7Hv02khx8TZGjPiAH344SO+9YTFy9uxBxo0biE4Xz9PfcEhIFz9h4MqVNFxchnD+fCJSDemIcjIyYpg5czwtLbJzqxDC3pRz8uQ3jBjxARcvJmO7bfW6QgkNDbl4eQ0nP98e56I\/TJkism\/fCjw8HKiuzqT3Tf8pp7r6CKNG\/ZUdOxZ30XsqIV08ooLISH8iIszVdGsfT2+gpaXFwIwZLqSnr6P3VgGEEOJpKHNxFyyYiEz5e5xKoqICTHOW7amjy+PogHK2bPmSwEAP6upy6T3X0jJqa3Px8BjGmjWzTMfdFSMjEtJFGx+K8+eTcHIayPnzh5BqiCUqyMhYh7+\/M01Nx5De6EII+1RKbW0WLi5DOHbsK6TQ0xYjx4\/vZcyYAZw9m4hcYx+kA8qIiwtm7lx3qquPoP6gbuTatUzc3D5m6dLPUW66uioDSEgXj9AClSxdOo2wMB+UuYVyl98+PffuFePvP4709GjkoiSEsG+V5ORsxMNjGA0NR5Fpkw\/Sc\/t2Md7eI9ixIwzZ4bvt1wjK2LLlSzw8HDh79iDqXCOnTNE5dWo\/w4b9hejoOXRtQC9GQrpoh\/LBcHIaQHm57CL3eEb27VtOUJCXzEUXQgjTTovBwRNZvNgXdQYsa6lk8+Yv+PLLCabrhT0vFn0cZerLvn0rGDHiA9LTzV1f1NLWuBSoIDMzFheXQWzfHkbXB3Tl90hIF+2oICEhhIAAVzmZtMtw\/2amokJuZoQQQlFCXV0e7u5D+fbbSOA4EtQrycqKxcVlMFVVKcg0lyfRARUUFm7Dx2cUa9fO5scfC1DCsLXyiHIDevNmPqGhPnh4OFBQsI3u+3xLSBft0nP3rpaJEz9l27aFKMNy9n6SfZAydy4kZDIbNgQi1SIhhHhQBSUlOxk06F1KSnZi31MByzlzJhFHx\/5kZNhCL\/CeooTi6upswsN9cXcfytGjW1Aq2T1ZFNOafl8ZmZmxeHuPYM4cdy5fTu\/m91JCungsI0bjblxdh3DuXBK9ryVSd1K2M3Z1HcLNm3moZxhOCCHUopKkpFU4Ow\/i0qXD2Odoo4G6ujwmTRpBfPwipId8515DMJCVtQkPDweCg70xGvdiDs7d16xBb\/r5RsrL9zJz5njGjPmIlJQY09e7ezREQrp4ogq2bVuIm9tQ7twpQsJoMVBOVdVhXFyGUFa2G9m4SAgh2qJUQjdu\/IKpU8dQV5eHfU3zMHDrVgG+vqNZtSqArmvNZ4+Uz1JjYyG7d4czceKnLFrkTX7+VhobC1CmnJR1weurM\/2c49y6VUhu7mZmzHDB3X0YsbHzuHUrn55rmykhXTyRnpYWHXPmuBEVJScZKKGx8Rju7g5s2vQF0v1GCCEeRwcYWbp0Gr6+jjQ05GMfo7Kl3L2rY\/FiH0JDp9DSokXa83aFEsDIjRvZ7N0biafncIKCPImOnk15+dfcu1eEklMMtFa7S0yv\/cNKMFfpFeU0NxdhNP6N6Og5+PmNxcPDge3bw7h+PR3let+ThUoJ6cIiBurrc5g48VO++WYZ9jtcpwfKCQvzYd48T5Q\/anu+YRFCCEuUcPeunoULvfH1HU1DQ2\/aqKYzDDQ2FhAW5kN4+FTu3tUho9BdTbkegw6tdjuRkZ+zaNFkPDyGERIyhaSkKPLyNnPixB6uXk2jvj6burqs++rrs7lyJZWTJ\/eSm7uZ5OQ1hIRMwclpAEFBXixZ4kde3lbMNwXWef8kpAuLlXP8+LcMHvxnsrM3Yn\/9XZUhsNjYeXz++VjTKnPp\/yuEEJYpBfREREzFz28MFy6kYJsL7o3U1+fh6zvaVEHXIdeK7qSM1EAFt27lYTR+TXLyatavD8LDwwEnpwHMmuXG8uXTWbp02n3Ll0\/H39+Z0aM\/YsKET1m3LpCUlDWUl+\/i5s2jKJ9Na+8GKyFddEglBQVxDB78Z1PbIXupqCsbPB04sILx44dw+XIqtl0FEkKI7qBUP2Njv8DFZRAGw9fYTntG5Tpx8uR+vL1HsHJlAPfuaZEKek++\/uYbIvNUF2X6SnV1OufPJ1JVlXTfuXOJXL2ayt27habvNU+NMaB8TtXwmZSQLjrsOImJUXz44X+g1cZjOyfY9uiASg4dWoO39yjOnj2EBHQhhOgsJah\/++1KBg\/+M\/v2LUepWvbmanMJUEF6egyDBr1LfHwoynVC5qBblzm4l6B8vh5WYvp3tWYYCemiw7SYg3r\/\/v+X3Nw4bHfxZAlQxo4doUyaNMLUhlI6uQghxNNRqs56\/XYcHfsTFubDzZu5WH96QWeeRwV37hQQEzOXceMGcvToJpTilaxXEk9LQrroFOUEm5ISw8CBf+LAgVUoQd2WqgYGWlpK2LRpPl5ewzh7VgK6EEJ0rQoaGo4SFOSJq+sQ0+iskd5RVS8FjOj1uxg9uj\/TpztTXZ2JbFQkuo6EdNFpSkW9tHQnzs6DiI2dh7nybP1je1oV1NVl88UXXsyc6cr169k28ryEEEJtlDnEqanRuLoOITh4EhcuJKMUftQY1vVAJbW1mYSF+TB27EB27QqndS60tY9P2A4J6eKpVXDhQgq+vqOZPt2Zy5cz6b3TX5STb0XFHtzdHVi0aDJNTceQE68QQnQnZe1PTU0mS5d+zogRH7B16wJqao7QOl\/dmtcU8wLQCu7cKWLz5i8ZN24goaE+XLmShkxvEd1DQrroEmU0NWlZvNiX4cP\/Qlraelq367X2sVmqnHv3itmyZQHu7kNJTIwyPQdZmS+EED2jFKigsnIvISGTmTDhEzZtms+5c4mY2+z1bBg2t\/czcvVqKlu2BOPkNICAABe02u30\/gWvQt0kpIsuozT8z8zcyMiRHzBrlhuXL2egnMTUHHSVi4LRuAc\/PycmTPiU06cPYJv9e4UQojdQijwnTuwlOHgSzs6DCQ2dQk7OJlpailGCs3knya4M7eaKucF0DFqOHYsnNNQHb++RLFrkzbFj8bRucGPt10nYNgnpokspK91rarIJC\/PB0fGvbNsWYtpd7jjqWlhaChzn0qXDrFgxgwkTPuHrryNoblY2LbL+8QkhhD3TooRlI5cupRAbO4\/p011wdR3CunWBFBbGcfVqGkpIP44yzbIjwV2Hck0yoBRlTgB6amoyKSr6ipiYQNzchhIQ4MqaNbM5cyaR1hFimdoieoKEdNEtSoFKDIZdTJvmxPjxQ9mxI4ympkJaV+5bo0pt3ujASHX1ETZsmIer6xAWL\/bl2rV0lBO1mm4khBBCmIsqd+4UodXGs2XLAiZM+AQ\/PydCQ6ewYsV0kpJW8\/33+6irO2J6jJHWirtZ2QNf19LQkM3p0\/tISYlmxYoZRET4MXPmeNzdHVi\/fh46XQKNjQW03gBY+3UQ9kVCuug2Wsy7eOXnxzF9ugtubkPZujWYH344aPq3nmjbqMV80wA6TpzYS2TkdJydB7FgwSSMxj0o1RGZVyiEEOqmo3Uqip5Llw6TnLyGpUunERbmw+LFvnh6DsfZeTCensOYNm0smzbNZ9u2hWzbtpCNG7\/Az88JT89hjBs3mAkTPiU8fCrh4b6EhvqQlLTKdH3S0xrwpXAjrEVCuuh2yhQYKKW4OJ7g4El4eAxj\/vwJJCauoqEhh9YhxAeHKjtTaX94W2AlfF+8mMKOHaHMnu2Gn58T69bN5fTp\/Zi3Dbb+aySEEKJjHizAKN1VGhpyqKpKpqLia3JzN5OdvZHU1GhSU9eSmhpNcvJqMjPXk5e3hbKyXVRVHTJdg7Smn2OumMt6JKEGEtJFjzFXQIxcu5bB1q0LCAz0wMtrOEFBHiQmrkKv305NTSbNzUUoVYyTKCdNc4h\/eEtfc8g+YVJOU1MhVVWHKCjYyq5d4fj6jmbKFEcWL\/YlMXEVjY15WHfKjRBCiK5nnmNuXvjZnrIH\/r\/U9Bg1bw0v7JeEdGEVyvxC0HHmzAHS0qKJiPBj7NiBzJ49nmXLprFgwSTWrp1NcvIaiou3UV6+mwsXDlFVlURVVRLnzydhMOykqOgrdu5czMqVMwgM9CQy0h83t6E4Ow8hJiaQrKwNXLmSinJCtrVdUYUQQghhmySkC6t6cGqKspDn3LmD5OZuZv36QMLCfFi+3J\/o6DksWeLHsmWf3xcR4UdUVADR0XMIDp5ERIQfGzd+gVabQE1NJko1pZzWKTRSJRFCCCFEbyEhXahKa\/eV1qkuepqbj9HYmEddXRb19dnU12dRV5dFU1MBLS3mHUGPmx5j3oBIQrkQQggheisJ6ULVtLQuBjXPN3yQ+evm77P28QohhBBCdAUJ6UIIIYQQQqiMhHQhhBBCCCFURkK6EEIIIYQQKiMhXQghhBBCCJWRkC6EEEIIIYTKSEgXQgghhBBCZSSkCyGEEEIIoTIS0oUQQgghhFCZDoR0R8f+wFmUHSGFEEIIIYQQ3aOShoYcy0K6g8P7XL9+jOvXM4QQQgghhBDdJptTp\/bxyisvth\/Sd+3ahUajQaPR8MILzwshhBBCCCG6WZ8+\/+1+Bh85cuSjIX3fvn3069ePV155hb59X6Rv35eEEEIIIYQQ3ejFF1\/i1Vf70a9fP7y8vB4N6U1NTdTU1AghhBBCCCGs4ObNmz8J6f8fphaigntv4o4AAAAASUVORK5CYII=\" alt=\"Sample AMOS Model\" width=\"745\" height=\"307\" \/><\/p><ul><li>Note: X1 and Y are latent constructs. In Amos syntax, latent constructs are represented by the ellipses. The latent construct X1 is measured using items X11 to X15, while latent construct Y is measured using items Y1 to Y5. The measured items are represented by rectangles in the model. Sometimes (in literature) the measured items are called latent indicators.<\/li><li>Key: X1 = <b>Exogenous <\/b>construct, while X11 to X15 is a set of 5 items to measure latent construct X1<\/li><li>In the Amos diagram, e1 to e5 are errors in measurement for items X11 to X15<\/li><li>Y = <b>Endogenous <\/b>construct, while Y1 to Y5 is a set of 5 items to measure latent construct Y<\/li><li>In the Amos diagram, e6 to e10 are errors in measurement for items Y1 to Y5<\/li><\/ul>\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-4f218f9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4f218f9\" data-element_type=\"section\" data-e-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-50 elementor-top-column elementor-element elementor-element-2349555\" data-id=\"2349555\" data-element_type=\"column\" data-e-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-3f6cdc2 elementor-widget elementor-widget-heading\" data-id=\"3f6cdc2\" data-element_type=\"widget\" data-e-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\">Video Tutorial<\/h2>\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-top-column elementor-element elementor-element-0506ae1\" data-id=\"0506ae1\" data-element_type=\"column\" data-e-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-32b325a elementor-widget elementor-widget-video\" data-id=\"32b325a\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/15hxvI2bSJg&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/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-6f61a8a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6f61a8a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-aedbf02\" data-id=\"aedbf02\" data-element_type=\"column\" data-e-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-09f3dcf elementor-widget elementor-widget-heading\" data-id=\"09f3dcf\" data-element_type=\"widget\" data-e-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\">References<\/h2>\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-66 elementor-top-column elementor-element elementor-element-69e27e4\" data-id=\"69e27e4\" data-element_type=\"column\" data-e-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-da68243 elementor-widget elementor-widget-text-editor\" data-id=\"da68243\" data-element_type=\"widget\" data-e-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<ul><li>Collier, J. E. (2020). <i>Applied structural equation modeling using AMOS: Basic to advanced techniques<\/i>. Routledge.<\/li><li>Awang, Z. (2015). <i>A Handbook on SEM<\/i> (2nd Edition). Malaysia<\/li><\/ul>\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-90ac97f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"90ac97f\" data-element_type=\"section\" data-e-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-50 elementor-top-column elementor-element elementor-element-8e7428a\" data-id=\"8e7428a\" data-element_type=\"column\" data-e-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-2859f53 elementor-widget elementor-widget-heading\" data-id=\"2859f53\" data-element_type=\"widget\" data-e-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\">Additional AMOS Resources<\/h2>\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-top-column elementor-element elementor-element-0643e92\" data-id=\"0643e92\" data-element_type=\"column\" data-e-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-53b2eb5 elementor-widget elementor-widget-wp-widget-ccchildpages_widget\" data-id=\"53b2eb5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"wp-widget-ccchildpages_widget.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul><li class=\"page_item page-item-6829 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/assessing-construct-reliability-and-convergent-validity-in-spss-amos\/\" class=\"menu-link\">Assessing Construct Reliability and Convergent Validity in SPSS AMOS<\/a><\/li>\n<li class=\"page_item page-item-7107 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/basic-first-structural-model-in-spss-amos\/\" class=\"menu-link\">Basic\/First Structural Model in SPSS AMOS<\/a><\/li>\n<li class=\"page_item page-item-6713 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/building-a-basic-model-in-spss-amos\/\" class=\"menu-link\">Building a Basic Model in SPSS AMOS<\/a><\/li>\n<li class=\"page_item page-item-7029 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/common-method-bias-in-spss-amos\/\" class=\"menu-link\">Common Method Bias in SPSS AMOS<\/a><\/li>\n<li class=\"page_item page-item-7064 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/common-method-bias-using-latent-common-method-factor\/\" class=\"menu-link\">Common Method Bias using Latent Common Method Factor<\/a><\/li>\n<li class=\"page_item page-item-6757 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/confirmatory-factor-analysis-and-analyzing-spss-amos-output\/\" class=\"menu-link\">Confirmatory Factor Analysis and Analyzing SPSS AMOS Output<\/a><\/li>\n<li class=\"page_item page-item-6687 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/first-measurement-model-in-amos\/\" class=\"menu-link\">First Measurement Model in AMOS<\/a><\/li>\n<li class=\"page_item page-item-7247 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/full-structural-model-analysis\/\" class=\"menu-link\">Full Structural Model Analysis<\/a><\/li>\n<li class=\"page_item page-item-6909 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/how-to-assess-discriminant-validity-in-spss-amos\/\" class=\"menu-link\">How to Assess Discriminant Validity in SPSS AMOS<\/a><\/li>\n<li class=\"page_item page-item-6415 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/ibm-spss-amos-lecture-series-basics\/\" class=\"menu-link\">IBM SPSS AMOS Lecture Series &#8211; Basics<\/a><\/li>\n<li class=\"page_item page-item-6443 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/ibm-spss-amos-series-1-what-is-structural-equation-modelling\/\" class=\"menu-link\">IBM SPSS AMOS Series &#8211; 2 &#8211; What is Structural Equation Modelling<\/a><\/li>\n<li class=\"page_item page-item-6538 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/ibm-spss-amos-series-4-introduction-to-amos\/\" class=\"menu-link\">IBM SPSS AMOS Series &#8211; 4 &#8211; Introduction to AMOS<\/a><\/li>\n<li class=\"page_item page-item-6638 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/ibm-spss-amos-series-factor-loadings-and-fit-statistics\/\" class=\"menu-link\">IBM SPSS AMOS Series &#8211; Factor Loadings and Fit Statistics<\/a><\/li>\n<li class=\"page_item page-item-6561 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/introduction-to-confirmatory-factor-analysis-cfa\/\" class=\"menu-link\">Introduction to Confirmatory Factor Analysis (CFA)<\/a><\/li>\n<li class=\"page_item page-item-7330 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/mediation-analysis-with-multiple-mediators\/\" class=\"menu-link\">Mediation Analysis with Multiple Mediators<\/a><\/li>\n<li class=\"page_item page-item-7820 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/moderation-analysis-with-categorical-moderator-in-spss-amos\/\" class=\"menu-link\">Moderation Analysis with Categorical Moderator in SPSS AMOS<\/a><\/li>\n<li class=\"page_item page-item-7370 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/moderation-anlaysis-in-spss-amos\/\" class=\"menu-link\">Moderation Anlaysis in SPSS AMOS<\/a><\/li>\n<li class=\"page_item page-item-6944 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/reporting-measurement-model-fit-indices-reliability-and-validity\/\" class=\"menu-link\">Reporting Measurement Model &#8211; Fit Indices, Reliability and Validity<\/a><\/li>\n<li class=\"page_item page-item-7354 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/serial-mediation-analysis-in-spss-amos\/\" class=\"menu-link\">Serial Mediation Analysis in SPSS AMOS<\/a><\/li>\n<li class=\"page_item page-item-7080 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/spss-amos-assessing-normality-of-data\/\" class=\"menu-link\">SPSS AMOS Assessing Normality of Data<\/a><\/li>\n<li class=\"page_item page-item-7300 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/spss-amos-mediation-analysis\/\" class=\"menu-link\">SPSS AMOS Mediation Analysis<\/a><\/li>\n<li class=\"page_item page-item-6782 menu-item\"><a href=\"https:\/\/researchwithfawad.com\/index.php\/lp-courses\/ibm-spss-amos-lecture-series\/understanding-assessing-and-improving-model-fit-in-spss-amos\/\" class=\"menu-link\">Understanding, Assessing, and Improving Model fit in SPSS AMOS<\/a><\/li>\n<\/ul>\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<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>SPSS AMOS Series &#8211; A Detailed Introduction of SEM and Its Concepts Introduction to Structural Equation Modelling The session will introduce some of the most basic and important concepts in Structural Equation Modelling (SEM). The session will cover What is SEM? Advantages of SEM Is SEM Causal Modelling? Variables and Construct Concept of Latent Constructs [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":6468,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","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":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"enabled","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-6443","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - 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