{"id":175,"date":"2018-02-06T13:23:47","date_gmt":"2018-02-06T13:23:47","guid":{"rendered":"http:\/\/bridge151.qodeinteractive.com\/?page_id=175"},"modified":"2024-12-12T20:06:52","modified_gmt":"2024-12-12T19:06:52","slug":"about-software","status":"publish","type":"page","link":"https:\/\/aexd.net\/nl\/about-software\/","title":{"rendered":"Gepatenteerde Software"},"content":{"rendered":"<section class=\"wpb-content-wrapper\"><div id=\"aexd\"  data-q_id=\"#aexd\"    class=\"vc_row wpb_row section vc_row-fluid  vc_custom_1561457578553 grid_section\" style=' padding-top:80px; padding-bottom:20px; text-align:center;'><div class=\" section_inner clearfix\"><div class='section_inner_margin clearfix'><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h1 style=\"text-align: left;\">Aexd.net<\/h1>\n\n\t\t<\/div> \n\t<\/div> <div class=\"separator  small left  \" style=\"background-color: #fc634a;height: 3px;width: 50px;\"><\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Aexd.net enables the researcher to apply Design of Experiments correctly without having to be an expert in statistics. The user is helped to take critical decisions as to what type of design should be used and how a generated model should be interpreted. Based on each of these decisions, unlogical or incorrect options are hidden such that the user is only presented with information and choices that make common sense in each specific situation.<br \/>\n<span style=\"color: #f6f6f6;\">.<\/span><br \/>\nAexd.net also facilitates generation of statistical reports, tables and figures by automatically generating all data that is of interest for the interpretion of the fitted model in a three steps approach:<\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol style=\"text-align: left;\">\n<li>\u00a0 creation of experimental design table and experimental results;<\/li>\n<li>\u00a0 statistical analysis of results with generation of a model and verification if that model would be statistically justified or if the user should proceed with parameters that have the highest impact and go back to step 1;<\/li>\n<li>\u00a0 dashboard with 3D surfaces and contour diagrams to interactively visualize all interactions of all variables studied.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p style=\"text-align: left;\"><span style=\"color: #f6f6f6;\">.<\/span><br \/>\nAll generated tables and figures can be copied to third-party programs like Microsoft Excel, Word or Powerpoint. All figures, including 3D surfaces, are immediately available in both color and grayscale in high, publication-quality resolution.<\/p>\n\n\t\t<\/div> \n\t<\/div> <\/div><\/div><\/div><\/div><\/div><\/div><div      class=\"vc_row wpb_row section vc_row-fluid  vc_custom_1561451405461 grid_section\" style=' padding-bottom:50px; text-align:left;'><div class=\" section_inner clearfix\"><div class='section_inner_margin clearfix'><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-3585409911]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/dashboard_big-1.gif\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"1022\" height=\"434\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/dashboard_big-1.gif\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><\/div><div id=\"tutorial\"  data-q_id=\"#tutorial\"    class=\"vc_row wpb_row section vc_row-fluid  vc_custom_1561457593448 grid_section\" style=' padding-top:80px; padding-bottom:20px; text-align:center;'><div class=\" section_inner clearfix\"><div class='section_inner_margin clearfix'><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h1 style=\"text-align: left;\">Tutorial Aexd.net<\/h1>\n\n\t\t<\/div> \n\t<\/div> <div class=\"separator  small left  \" style=\"background-color: #fc634a;height: 3px;width: 50px;\"><\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-6\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">The tutorial is integrated in Aexd.net! If Aexd.net stands out from any other Design of Experiment (DOE) tools out there, it is because each step you need to take from mounting your experimental design to analysing the results is explained along the way, in detail and with examples. Additionally, short tip-balloons quickly remind you of small or important details so that you do not have to search through the documention to find what you need to know.<\/p>\n\n\t\t<\/div> \n\t<\/div> <\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-6\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_video_widget wpb_content_element vc_clearfix   vc_video-aspect-ratio-169 vc_video-el-width-100 vc_video-align-left\" >\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<div class=\"wpb_video_wrapper\"><iframe loading=\"lazy\" title=\"Accelerate your research with Aexd.net\" src=\"https:\/\/player.vimeo.com\/video\/1038686658?dnt=1&amp;app_id=122963\" width=\"1060\" height=\"596\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write\"><\/iframe><\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h2 style=\"text-align: left;\"><span style=\"color: #fc634a;\">3 stages<\/span><\/h2>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Aexd.net lets you work with experimental designs in a three-stages process:<br \/>\n<span style=\"color: #f6f6f6;\">.<\/span><\/p>\n<ol>\n<li style=\"list-style-type: none;\">\n<ol>\n<li style=\"text-align: left;\">\u00a0 creation of the design on the <strong>Design <\/strong>page<\/li>\n<li style=\"text-align: left;\">\u00a0 statistical analysis of the results on the <strong>Analysis <\/strong>page<\/li>\n<li style=\"text-align: left;\">\u00a0 (if applicable) visual 3D surface response analysis on the <strong>Surface<\/strong><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n\n\t\t<\/div> \n\t<\/div> <\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4 vc_hidden-sm vc_hidden-xs\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"750\" height=\"271\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/stages-1.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/stages-1.png 750w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/stages-1-300x108.png 300w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/stages-1-700x253.png 700w\" sizes=\"auto, (max-width: 750px) 100vw, 750px\" \/><\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h2 style=\"text-align: left;\"><span style=\"color: #fc634a;\">Easy to start<\/span><\/h2>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">You can start an Experimental Design via the main menu: <strong>Designs \u2192 Create new design<\/strong><br \/>\n<span style=\"color: #f6f6f6;\">.<\/span><br \/>\nYou will be redirected to the Start section on the Design page. Here you fill a title, choose the number of independent and dependent variables and click OK to create a new Design.<\/p>\n\n\t\t<\/div> \n\t<\/div> <\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4 vc_hidden-sm vc_hidden-xs\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-2714603491]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/start-1.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"345\" height=\"129\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/start-1.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/start-1.png 345w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/start-1-300x112.png 300w\" sizes=\"auto, (max-width: 345px) 100vw, 345px\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h2 style=\"text-align: left;\"><span style=\"color: #fc634a;\">Explanations &amp; Tip balloons<\/span><\/h2>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Integrated into the creation process, this tutorial continues in the form of explanations per section. For example, the first time you start creating an experimental design, you will see an explanation about the fields you need to fill and learn important knowledge that is usefull for that specific section. The next time, the explanation is hidden by default, but you can see it again at any time by clicking the question mark.<br \/>\n<span style=\"color: #f6f6f6;\">.<\/span><br \/>\nPointing your mouse at almost any label, table header, figure title, etc., a small tip balloon will appear. Sometimes, the content of the balloon depends on the actual value of the item that you are pointing on or the result of the analysis. This way, you read valid suggestions that apply to your current, unique situation.<\/p>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h2 style=\"text-align: left;\"><span style=\"color: #fc634a;\">Experimental phase<\/span><\/h2>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Once your experimental design plan is created, it is time for experiments. These experiments must be executed exactly according to the experimental plan. You must make sure that the whole planning is actually physically possible because all conditions of each and every treatment must be exactly according to the plan.<br \/>\n<span style=\"color: #f6f6f6;\">.<\/span><br \/>\nFrom your experience and intuition, you will often predict that the outcome of a certain treatment is &#8216;bad&#8217;, as in &#8216;a long way from a desired optimum&#8217;. You will be using experimental conditions that, although physically possible, will never be used in an industrial setting. Even so, Do not let yourself be tempted to imprecision because for the whole set of experiments to be of any use in predicting the dependency of your process to the independent variables, it is crucial to know exactly how much the result of that treatment deviates in comparison to the other treatments.<\/p>\n\n\t\t<\/div> \n\t<\/div> <\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4 vc_hidden-sm vc_hidden-xs\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-2012795124]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/experimental-1.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"362\" height=\"379\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/experimental-1.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/experimental-1.png 362w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/experimental-1-287x300.png 287w\" sizes=\"auto, (max-width: 362px) 100vw, 362px\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><\/div><\/div>\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">If the experiments are executed in sequential order (i.e. one by one), it is good practice not to execute the experiments in the same order as in the experimental plan, but to use any random order, especially for the central points. For example, execute one central-point treatment as first experiment, followed by random treatments (including axial points if any), then another central point, followed again by several random treatments, etc.<br \/>\n<span style=\"color: #f6f6f6;\">.<\/span><br \/>\nOnce all treatments have been executed according to your plan, the results (i.e. the values of the response variables) must be filled into the right-most column.<br \/>\n<span style=\"color: #f6f6f6;\">.<\/span><br \/>\nHere is an example of an experimental design plan to discover optimal washing conditions for removal of stains. You can use this example to try out Aexd.net for yourself. To do this, create a design with 3 independent variables, 1 dependent variable, CCRD design, high\/low levels: 30-60, 8-30 and 16-60 for &#8216;Temp&#8217;, &#8216;bleach&#8217; and &#8216;spin&#8217; respectively. Then, in the Design-and-Results table, fill the response variable (&#8216;stains&#8217;) as in the table on the right.<\/p>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h2 style=\"text-align: left;\"><span style=\"color: #fc634a;\">Analysis<\/span><\/h2>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Aexd.net offers a very convenient way to perform basic statistical analysis. Once the Design-and-Result table becomes available on the Design page, a new set of buttons appears at the top-right of the page: Design, Analysis and Surface.<\/p>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">From these buttons, press &#8216;Analysis&#8217; to move on from the Design page to the Analysis page. Here, several usefull tables and diagrams are presented. For example, for an experimental design that is meant for screening (Plackett-Burman or CCD), these results help you to filter out the most significant parameters which then allows you to create a central composite rotational design (CCRD) with only the independent variables that really matter. A step that often saves a lot of unnecessary work and effort and gives you more time to prepare exceptional articles for publishing!<br \/>\n<span style=\"color: #f6f6f6;\">.<\/span><br \/>\nYou can interactively verify how changing the level of significance influences the Pareto Diagram or the F-test by just moving a slider. For a CCRD design, you can even exclude some independent variables or interactions from the model to increase the degrees of freedom and see the results immediately.<\/p>\n\n\t\t<\/div> \n\t<\/div> <\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4 vc_hidden-sm vc_hidden-xs\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-4222361350]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"580\" height=\"332\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1.png 580w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1-300x172.png 300w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1-345x198.png 345w\" sizes=\"auto, (max-width: 580px) 100vw, 580px\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><\/div><\/div>\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">For the example below, a screening design had been done before and now, after creating a complete CCRD design with the most significant variables, some relevant statistical analysis results are shown. You can verify that the variables are indeed significant but also which interactions are significant. Moreover, from the presented information you can conclude if it is statistically sound to accept a model that was generated, or if some tweaking is possible or necessary.<\/p>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-4 vc_hidden-sm vc_hidden-xs\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-2289135886]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1-1.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"484\" height=\"311\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1-1.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1-1.png 484w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-1-1-300x193.png 300w\" sizes=\"auto, (max-width: 484px) 100vw, 484px\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-1056162761]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-2.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"239\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-2.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-486418796]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-3.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"282\" height=\"239\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/analysis-3.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><\/div><\/div>\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Where other DOE softwares allow you to model your process even if it makes no sense statistically (in other words, allow you to produce rubbish science!), Aexd.net warns you how to interprete the analysis and, if possible, explains what to do in case the statistical tests fail for your data.<br \/>\nIf you are satisfied with the achieved regression of your model, you will see a mandatory checkbox under the Anova table. Check this, so you can move on to the Surface page.<\/p>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h2 style=\"text-align: left;\"><span style=\"color: #fc634a;\">Surfaces<\/span><\/h2>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">From the Design or Analysis page, go to the Surface page by clicking the &#8216;Surface&#8217; button on the upper-right corner of the screen. Aexd.net now automatically generates interactive 3D surface plots and contour diagrams for every possible combination of two independent variables. Click on a surface plot, hold and move your mouse to see the 3D surface from different angles. Below are some static images (non-interactive) shown as examples.<\/p>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-4 vc_hidden-sm vc_hidden-xs\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-566175838]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/surface_1-1.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"682\" height=\"340\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/surface_1-1.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/surface_1-1.png 682w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/surface_1-1-300x150.png 300w\" sizes=\"auto, (max-width: 682px) 100vw, 682px\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-316625900]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/surface_2-1.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"682\" height=\"340\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/surface_2-1.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/surface_2-1.png 682w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/08\/surface_2-1-300x150.png 300w\" sizes=\"auto, (max-width: 682px) 100vw, 682px\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-2261861611]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/06\/surface_3.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"682\" height=\"340\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/06\/surface_3.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/06\/surface_3.png 682w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/06\/surface_3-300x150.png 300w\" sizes=\"auto, (max-width: 682px) 100vw, 682px\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><\/div><\/div>\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Each plot shows the dependance of the response variable (here &#8216;stains&#8217; on the vertical axis) to two independent varables (each on one of the horizontal axes that define the bottom of the surface, e.g. &#8216;spin&#8217; and &#8216;bleach&#8217;). In the contour plot, these latter are the x and y axes of the plot. Thus, if you have three independent variables in your model in stead of two, one independent variable cannot appear in the plot and is fixed at a certain value. A &#8216;fixed variable&#8217; is then called &#8216;parameter&#8217;. In such case, or if there are even more parameters, a tool appears as in the image below, showing the value of the variables and parmeter(s) in white. When you move your mouse over the tool you will see sliders appear. You can move the sliders to see interactively how changing the value of a parameter affects the 3D surface and the contour plot. This makes it very convenient to learn and understand the mechanism of your process and find an optimum, minimum or desired value.<\/p>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h2 style=\"text-align: left;\"><span style=\"color: #fc634a;\">Where are my designs?<\/span><\/h2>\n\n\t\t<\/div> \n\t<\/div> \t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-8\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p>All your designs are saved automatically each time you make a change. You can find an overview via the main menu \u2192 Designs \u2192 My designs or via this link: aexd.net\/MyDesigns. To delete a design, select it and press the red cross at the bottom of the table.<\/p>\n\n\t\t<\/div> \n\t<\/div> <\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-4 vc_hidden-sm vc_hidden-xs\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_single_image wpb_content_element vc_align_left\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n\t\t\t<a class=\"qode-prettyphoto qode-single-image-pretty-photo\" data-rel=\"prettyPhoto[rel-175-1904478973]\" href=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/06\/mydesigns.png\" target=\"_self\"><div class=\"vc_single_image-wrapper   vc_box_border_grey\"><img loading=\"lazy\" decoding=\"async\" width=\"398\" height=\"278\" src=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/06\/mydesigns.png\" class=\"vc_single_image-img attachment-full\" alt=\"online design of experiments | software DOE | experimental design\" title=\"online design of experiments | software DOE | experimental design\" srcset=\"https:\/\/aexd.net\/wp-content\/uploads\/2019\/06\/mydesigns.png 398w, https:\/\/aexd.net\/wp-content\/uploads\/2019\/06\/mydesigns-300x210.png 300w\" sizes=\"auto, (max-width: 398px) 100vw, 398px\" \/><\/div><\/a>\n\t\t<\/div>\n\t<\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 5px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><div id=\"faq\"  data-q_id=\"#faq\"    class=\"vc_row wpb_row section vc_row-fluid  vc_custom_1561457621623 grid_section\" style=' padding-top:80px; padding-bottom:60px; text-align:center;'><div class=\" section_inner clearfix\"><div class='section_inner_margin clearfix'><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\">\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h1 style=\"text-align: left;\">Frequently Asked Questions (FAQ)<\/h1>\n\n\t\t<\/div> \n\t<\/div> <div class=\"separator  small left  \" style=\"background-color: #fc634a;height: 3px;width: 50px;\"><\/div>\n\t<div class=\"vc_empty_space\"  style=\"height: 15px\" ><span\n\t\t\tclass=\"vc_empty_space_inner\">\n\t\t\t<span class=\"empty_space_image\"  ><\/span>\n\t\t<\/span><\/div>\n\n<div class=\"qode-accordion-holder clearfix qode-toggle qode-initial \">\n\t<h4 class=\"clearfix qode-title-holder\">\n<span class=\"qode-tab-title\">\n\t    <span class=\"qode-tab-title-inner\">\n        How to create an Experimental Design?    <\/span>\n<\/span>\n<span class=\"qode-accordion-mark\">\n    <span class=\"qode-accordion-mark-icon\">\n        <span class=\"icon_plus\"><\/span>\n        <span class=\"icon_minus-06\"><\/span>\n    <\/span>\n<\/span>\n<\/h4>\n<div  class=\"qode-accordion-content \" >\n    <div class=\"qode-accordion-content-inner\">\n        \n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">You can start an Experimental Design via the main menu:<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\nDesigns -&gt; Create new design<\/p>\n\n\t\t<\/div> \n\t<\/div>     <\/div>\n<\/div><h4 class=\"clearfix qode-title-holder\">\n<span class=\"qode-tab-title\">\n\t    <span class=\"qode-tab-title-inner\">\n        I deleted a Design that I should not have deleted. What can I do?    <\/span>\n<\/span>\n<span class=\"qode-accordion-mark\">\n    <span class=\"qode-accordion-mark-icon\">\n        <span class=\"icon_plus\"><\/span>\n        <span class=\"icon_minus-06\"><\/span>\n    <\/span>\n<\/span>\n<\/h4>\n<div  class=\"qode-accordion-content \" >\n    <div class=\"qode-accordion-content-inner\">\n        \n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Oops&#8230; Mail us at <a href=\"mailto:info@aexd.net\">info@aexd.net<\/a>. We&#8217;ll see what we can do for you. Inform us the id-number of the design or the date at which you lost it. When you send us your mail, use your email that you also use to log in to your account so that we can identify you.<\/p>\n\n\t\t<\/div> \n\t<\/div>     <\/div>\n<\/div><h4 class=\"clearfix qode-title-holder\">\n<span class=\"qode-tab-title\">\n\t    <span class=\"qode-tab-title-inner\">\n        How do I cite Aexd.net in my manuscript for scientific publication?    <\/span>\n<\/span>\n<span class=\"qode-accordion-mark\">\n    <span class=\"qode-accordion-mark-icon\">\n        <span class=\"icon_plus\"><\/span>\n        <span class=\"icon_minus-06\"><\/span>\n    <\/span>\n<\/span>\n<\/h4>\n<div  class=\"qode-accordion-content \" >\n    <div class=\"qode-accordion-content-inner\">\n        \n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">If you used Aexd.net for your research, you will need to cite it as a tool in your publication. Each scientific journal can have a specific format for software citation. If you cannot find a format description at the website of your publisher, you can generally cite this software in your manuscript using these guidelines or cite-this-for-me, as follows:<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\n<strong>In your material and methods section, you note:<\/strong><br \/>\nAexd.net, Alleviating Science, was used to generate the experimental design. You may want to elaborate on the level values table and the experimental design.<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\n<strong>In the results section, you note:<\/strong><br \/>\nThe results were analyzed using Aexd.net, Alleviating Science. You may want to elaborate on the standerdized effects, the Analysis of Variance (ANOVA) table and the interaction effects as they are visualized in the Dashboard.<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\n<strong>Then, in the bibliography:<\/strong><br \/>\nAexd.net, version 1.0.33, Alleviating Science, Heerlen, The Netherlands, 2019; software available at https:\/\/aexd.net<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\nor<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\nZautsen, R.R.M. (2019). Alleviating Science: Aexd.net (Version 1.0.33) [Software]. Available from www.aexd.net<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\nor:<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\nZautsen, R.R.M. (2019). Aexd.net (Version 1.0.33) [software]. The Netherlands: Alleviating Science. Retrieved from https:\/\/aexd.net<\/p>\n\n\t\t<\/div> \n\t<\/div>     <\/div>\n<\/div><h4 class=\"clearfix qode-title-holder\">\n<span class=\"qode-tab-title\">\n\t    <span class=\"qode-tab-title-inner\">\n        Is our data secure?    <\/span>\n<\/span>\n<span class=\"qode-accordion-mark\">\n    <span class=\"qode-accordion-mark-icon\">\n        <span class=\"icon_plus\"><\/span>\n        <span class=\"icon_minus-06\"><\/span>\n    <\/span>\n<\/span>\n<\/h4>\n<div  class=\"qode-accordion-content \" >\n    <div class=\"qode-accordion-content-inner\">\n        \n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<p style=\"text-align: left;\">Yes, your data is very secure. It can only be accessed by you or someone with whom you have shared your password.<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\nIn comparison to local storage, it is in practice a more secure and wise solution to store confidential data in a central, well guarded server complex. When a PC or laptop is infected with a virus, it could potentally harness locally stored data and send it to the makers or &#8216;users&#8217; of the virus, a risk that is avoided using Aexd.net. Physically accessing a PC or laptop and quickly copying data is a real risk, compared to the impossibility of pysically accessing the servers of Aexd.net, which are professionally guarded, 24 hours per day, with biometric access allowance only.<br \/>\n<span style=\"color: #ffffff;\">.<\/span><br \/>\nPhysically, the data is stored in Amsterdam, The Netherlands, and handled in compliance to the European Model Clauses, approved by the European Commission and European Union&#8217;s data protection authorities. The European Model Clauses guarantee that all necessary data privacy protections in every location on the globe is supported. Also, Service Organization Controls 2 (SOC 2), Type II report, an evaluation operational controls\u2019 compliance to criteria set by the American Institute of Certified Public Accountants (AICPA) Trust Services Principles. The Trust Services Principles define adequate control systems and establish industry standards for services providers to safeguard their customers\u2019 data and information. Further adequate privacy protection is guarantied by complying to <em>Safe Harbor<\/em> certification, which is an important way for U.S. companies to avoid experiencing interruptions in their business dealings with the EU or facing prosecution by European authorities under European privacy laws. The maintainer of the physical servers is an important member of The Cloud Security Alliance, which is a not-for-profit organization with a mission to promote the use of best practices for providing security assurance within cloud computing. One of the mechanisms the Cloud Security Alliance uses in pursuit of its mission is the Security, Trust, and Assurance Registry (STAR)\u2014a free, publicly accessible registry that documents the security controls provided by various cloud computing offerings. The internal security controls meet Payment Card Industry (PCI) compliance and are assisted by renomated 3rd party auditor security walkthroughs and secured by proven physical and environmental controls, maintaining strict information security policies.<\/p>\n\n\t\t<\/div> \n\t<\/div>     <\/div>\n<\/div><\/div><div      class=\"vc_row wpb_row section vc_row-fluid vc_inner \" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><div      class=\"vc_row wpb_row section vc_row-fluid  vc_custom_1561451797125\" style=' text-align:left;'><div class=\" full_section_inner clearfix\"><div class=\"wpb_column vc_column_container vc_col-sm-12\"><div class=\"vc_column-inner\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><\/div><\/div>\n<\/section>","protected":false},"excerpt":{"rendered":"Aexd.net Aexd.net enables the researcher to apply Design of Experiments correctly without having to be an expert in statistics. The user is helped to take critical decisions as to what type of design should be used and how a generated model should be interpreted. Based...","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"full_width.php","meta":{"footnotes":""},"class_list":["post-175","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/aexd.net\/nl\/wp-json\/wp\/v2\/pages\/175","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aexd.net\/nl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/aexd.net\/nl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/aexd.net\/nl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aexd.net\/nl\/wp-json\/wp\/v2\/comments?post=175"}],"version-history":[{"count":5,"href":"https:\/\/aexd.net\/nl\/wp-json\/wp\/v2\/pages\/175\/revisions"}],"predecessor-version":[{"id":638,"href":"https:\/\/aexd.net\/nl\/wp-json\/wp\/v2\/pages\/175\/revisions\/638"}],"wp:attachment":[{"href":"https:\/\/aexd.net\/nl\/wp-json\/wp\/v2\/media?parent=175"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}