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href="https://www.academia.edu/29378018/Determinants_of_use_of_skilled_birth_attendant_at_delivery_in_Makueni_Kenya_a_cross_sectional_study">Determinants of use of skilled birth attendant at delivery in Makueni, Kenya: a cross sectional study</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/29378018" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="a3bfd076e0c193d4eda7b3a7cc147b0b" rel="nofollow" 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Genomics","url":"https://www.academia.edu/Documents/in/Functional_Genomics?f_ri=146"},{"id":33319,"name":"Nature","url":"https://www.academia.edu/Documents/in/Nature?f_ri=146"},{"id":38831,"name":"Signal Transduction","url":"https://www.academia.edu/Documents/in/Signal_Transduction?f_ri=146"},{"id":47599,"name":"Astronomy","url":"https://www.academia.edu/Documents/in/Astronomy?f_ri=146"},{"id":48057,"name":"DNA","url":"https://www.academia.edu/Documents/in/DNA?f_ri=146"},{"id":125784,"name":"Cell Signalling","url":"https://www.academia.edu/Documents/in/Cell_Signalling?f_ri=146"},{"id":129299,"name":"Medical Research","url":"https://www.academia.edu/Documents/in/Medical_Research?f_ri=146"},{"id":205581,"name":"Partition Coefficient","url":"https://www.academia.edu/Documents/in/Partition_Coefficient?f_ri=146"},{"id":415329,"name":"Subduction Zone","url":"https://www.academia.edu/Documents/in/Subduction_Zone?f_ri=146"},{"id":616972,"name":"Low Temperature","url":"https://www.academia.edu/Documents/in/Low_Temperature?f_ri=146"},{"id":702522,"name":"Tethys Oceanic Crust","url":"https://www.academia.edu/Documents/in/Tethys_Oceanic_Crust?f_ri=146"},{"id":709300,"name":"Trace element","url":"https://www.academia.edu/Documents/in/Trace_element?f_ri=146"},{"id":1216203,"name":"Earth Science","url":"https://www.academia.edu/Documents/in/Earth_Science?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_36015809" data-work_id="36015809" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/36015809/A_SURVEY_ON_DATA_MINING_IN_STEEL_INDUSTRIES">A SURVEY ON DATA MINING IN STEEL INDUSTRIES</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In Industrial environments, huge amount of data is being generated which in turn collected indatabase anddata warehouses from all involved areas such as planning, process design, materials, assembly, production, quality, process control,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_36015809" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In Industrial environments, huge amount of data is being generated which in turn collected indatabase anddata warehouses from all involved areas such as planning, process design, materials, assembly, production, quality, process control, scheduling, fault detection,shutdown, customer relation management, and so on. Data Mining has become auseful tool for knowledge acquisition for industrial process of Iron and steel making. Due to the rapid growth in Data Mining, various industries started using data mining technology to search the hidden patterns, which might further be used to the system with the new knowledge which might design new models to enhance the production quality, productivity optimum cost and maintenance etc. The continuous improvement of all steel production process regarding the avoidance of quality deficiencies and the related improvement of production yield is an essential task of steel producer. Therefore, zero defect strategy is popular today and to maintain it several quality assurance techniques areused. The present report explains the methods of data mining and describes its application in the industrial environment and especially, in the steel industry.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/36015809" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2a8ceef37836f84fae8333c008c4b3d4" rel="nofollow" data-download="{"attachment_id":55902558,"asset_id":36015809,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/55902558/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26099471" href="https://independent.academia.edu/JournalIJCSES">International Journal of Computer Science and Engineering Survey (IJCSES)</a><script data-card-contents-for-user="26099471" type="text/json">{"id":26099471,"first_name":"International Journal of Computer Science and Engineering Survey","last_name":"(IJCSES)","domain_name":"independent","page_name":"JournalIJCSES","display_name":"International Journal of Computer Science and Engineering Survey (IJCSES)","profile_url":"https://independent.academia.edu/JournalIJCSES?f_ri=146","photo":"https://0.academia-photos.com/26099471/8320289/35522477/s65_international_journal_of_computer_science_and_engineering_survey._ijcses_.png"}</script></span></span></li><li class="js-paper-rank-work_36015809 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="36015809"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 36015809, container: ".js-paper-rank-work_36015809", }); 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Data Mining has become auseful tool for knowledge acquisition for industrial process of Iron and steel making. Due to the rapid growth in Data Mining, various industries started using data mining technology to search the hidden patterns, which might further be used to the system with the new knowledge which might design new models to enhance the production quality, productivity optimum cost and maintenance etc. The continuous improvement of all steel production process regarding the avoidance of quality deficiencies and the related improvement of production yield is an essential task of steel producer. Therefore, zero defect strategy is popular today and to maintain it several quality assurance techniques areused. The present report explains the methods of data mining and describes its application in the industrial environment and especially, in the steel industry.","downloadable_attachments":[{"id":55902558,"asset_id":36015809,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26099471,"first_name":"International Journal of Computer Science and Engineering Survey","last_name":"(IJCSES)","domain_name":"independent","page_name":"JournalIJCSES","display_name":"International Journal of Computer Science and Engineering Survey (IJCSES)","profile_url":"https://independent.academia.edu/JournalIJCSES?f_ri=146","photo":"https://0.academia-photos.com/26099471/8320289/35522477/s65_international_journal_of_computer_science_and_engineering_survey._ijcses_.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=146","nofollow":false},{"id":428,"name":"Algorithms","url":"https://www.academia.edu/Documents/in/Algorithms?f_ri=146","nofollow":false},{"id":433,"name":"Computer Architecture","url":"https://www.academia.edu/Documents/in/Computer_Architecture?f_ri=146","nofollow":false},{"id":1380,"name":"Computer Engineering","url":"https://www.academia.edu/Documents/in/Computer_Engineering?f_ri=146"},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=146"},{"id":2482,"name":"Database Systems","url":"https://www.academia.edu/Documents/in/Database_Systems?f_ri=146"},{"id":4252,"name":"Computer Networks","url":"https://www.academia.edu/Documents/in/Computer_Networks?f_ri=146"},{"id":5026,"name":"Genetic Algorithms","url":"https://www.academia.edu/Documents/in/Genetic_Algorithms?f_ri=146"},{"id":5474,"name":"Real-time Systems","url":"https://www.academia.edu/Documents/in/Real-time_Systems?f_ri=146"},{"id":13923,"name":"Computer Security","url":"https://www.academia.edu/Documents/in/Computer_Security?f_ri=146"},{"id":26817,"name":"Algorithm","url":"https://www.academia.edu/Documents/in/Algorithm?f_ri=146"},{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=146"},{"id":34344,"name":"Data mining (Data Analysis)","url":"https://www.academia.edu/Documents/in/Data_mining_Data_Analysis_?f_ri=146"},{"id":45090,"name":"Database Management Systems","url":"https://www.academia.edu/Documents/in/Database_Management_Systems?f_ri=146"},{"id":60650,"name":"Data Warehousing and Data Mining","url":"https://www.academia.edu/Documents/in/Data_Warehousing_and_Data_Mining?f_ri=146"},{"id":80457,"name":"Real Time Embedded Systems","url":"https://www.academia.edu/Documents/in/Real_Time_Embedded_Systems?f_ri=146"},{"id":101171,"name":"Computer applications in architecture","url":"https://www.academia.edu/Documents/in/Computer_applications_in_architecture?f_ri=146"},{"id":102883,"name":"Real Time Systems","url":"https://www.academia.edu/Documents/in/Real_Time_Systems?f_ri=146"},{"id":168642,"name":"Computer Architecture and Organisation","url":"https://www.academia.edu/Documents/in/Computer_Architecture_and_Organisation?f_ri=146"},{"id":290593,"name":"Real Time Operating Systems","url":"https://www.academia.edu/Documents/in/Real_Time_Operating_Systems?f_ri=146"},{"id":1119056,"name":"Database","url":"https://www.academia.edu/Documents/in/Database?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_70408000" data-work_id="70408000" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/70408000/Effects_of_dynamic_and_static_stretching_within_general_and_activity_specific_warm_up_protocols">Effects of dynamic and static stretching within general and activity specific warm-up protocols</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The purpose of the study was to determine the effects of static and dynamic stretching protocols within general and activity specific warm-ups. Nine male and ten female subjects were tested under four warm-up conditions including a 1)... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_70408000" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The purpose of the study was to determine the effects of static and dynamic stretching protocols within general and activity specific warm-ups. Nine male and ten female subjects were tested under four warm-up conditions including a 1) general aerobic warm-up with static stretching, 2) general aerobic warm-up with dynamic stretching, 3) general and specific warm-up with static stretching and 4) general and specific warm-up with dynamic stretching. Following all conditions, subjects were tested for movement time (kicking movement of leg over 0.5 m distance), countermovement jump height, sit and reach flexibility and 6 repetitions of 20 metre sprints. Results indicated that when a sport specific warm-up was included, there was an 0.94% improvement (p = 0.0013) in 20 meter sprint time with both the dynamic and static stretch groups. No such difference in sprint performance between dynamic and static stretch groups existed in the absence of the sport specific warm-up. The static stretch ...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/70408000" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6689dc393a0cd7a375457e440a59f354" rel="nofollow" data-download="{"attachment_id":80173709,"asset_id":70408000,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/80173709/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="31635172" href="https://mun.academia.edu/DavidBehm">David G Behm</a><script data-card-contents-for-user="31635172" type="text/json">{"id":31635172,"first_name":"David","last_name":"Behm","domain_name":"mun","page_name":"DavidBehm","display_name":"David G Behm","profile_url":"https://mun.academia.edu/DavidBehm?f_ri=146","photo":"https://0.academia-photos.com/31635172/12652142/14074318/s65_david.behm.jpg"}</script></span></span></li><li class="js-paper-rank-work_70408000 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="70408000"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 70408000, container: ".js-paper-rank-work_70408000", }); 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Nine male and ten female subjects were tested under four warm-up conditions including a 1) general aerobic warm-up with static stretching, 2) general aerobic warm-up with dynamic stretching, 3) general and specific warm-up with static stretching and 4) general and specific warm-up with dynamic stretching. Following all conditions, subjects were tested for movement time (kicking movement of leg over 0.5 m distance), countermovement jump height, sit and reach flexibility and 6 repetitions of 20 metre sprints. Results indicated that when a sport specific warm-up was included, there was an 0.94% improvement (p = 0.0013) in 20 meter sprint time with both the dynamic and static stretch groups. No such difference in sprint performance between dynamic and static stretch groups existed in the absence of the sport specific warm-up. The static stretch ...","downloadable_attachments":[{"id":80173709,"asset_id":70408000,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":31635172,"first_name":"David","last_name":"Behm","domain_name":"mun","page_name":"DavidBehm","display_name":"David G Behm","profile_url":"https://mun.academia.edu/DavidBehm?f_ri=146","photo":"https://0.academia-photos.com/31635172/12652142/14074318/s65_david.behm.jpg"}],"research_interests":[{"id":60,"name":"Mechanical Engineering","url":"https://www.academia.edu/Documents/in/Mechanical_Engineering?f_ri=146","nofollow":false},{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research?f_ri=146","nofollow":false},{"id":268511,"name":"Stretching and Flexibility training","url":"https://www.academia.edu/Documents/in/Stretching_and_Flexibility_training?f_ri=146"},{"id":992395,"name":"Medicine and Science In Sports and Exercise","url":"https://www.academia.edu/Documents/in/Medicine_and_Science_In_Sports_and_Exercise?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_11933710" data-work_id="11933710" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/11933710/Research_and_treatment_approaches_to_depression">Research and treatment approaches to depression</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList 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u-linkUnstyled" data-container=".work_51551287" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">3<br />rd International Conference on Data Mining & Machine Learning (DMML 2022) will act as<br />a major forum for the presentation of innovative ideas, approaches, developments, and research<br />projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate the<br />exchange of information between researchers and industry professionals to discuss the latest issues<br />and advancement in the area of Big Data and Machine Learning.<br />Authors are solicited to contribute to the conference by submitting articles that illustrate research<br />results, projects, surveying works and industrial experiences that describe significant advances in<br />Data Mining and Machine Learning.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/51551287" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="65f7d5215c37f0f4cad16bb6c10ad1ac" rel="nofollow" data-download="{"attachment_id":83189779,"asset_id":51551287,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/83189779/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="26196263" href="https://independent.academia.edu/journalijwest">International Journal of Web & Semantic Technology (IJWesT)</a><script data-card-contents-for-user="26196263" type="text/json">{"id":26196263,"first_name":"International Journal of Web \u0026 Semantic Technology","last_name":"(IJWesT)","domain_name":"independent","page_name":"journalijwest","display_name":"International Journal of Web \u0026 Semantic Technology (IJWesT)","profile_url":"https://independent.academia.edu/journalijwest?f_ri=146","photo":"https://0.academia-photos.com/26196263/7208853/161117496/s65_international_journal_of_web_semantic_technology._ijwest_.jpg"}</script></span></span></li><li class="js-paper-rank-work_51551287 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="51551287"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 51551287, container: ".js-paper-rank-work_51551287", }); 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It will also serve to facilitate the\nexchange of information between researchers and industry professionals to discuss the latest issues\nand advancement in the area of Big Data and Machine Learning.\nAuthors are solicited to contribute to the conference by submitting articles that illustrate research\nresults, projects, surveying works and industrial experiences that describe significant advances in\nData Mining and Machine Learning.","downloadable_attachments":[{"id":83189779,"asset_id":51551287,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":26196263,"first_name":"International Journal of Web \u0026 Semantic Technology","last_name":"(IJWesT)","domain_name":"independent","page_name":"journalijwest","display_name":"International Journal of Web \u0026 Semantic Technology (IJWesT)","profile_url":"https://independent.academia.edu/journalijwest?f_ri=146","photo":"https://0.academia-photos.com/26196263/7208853/161117496/s65_international_journal_of_web_semantic_technology._ijwest_.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":442,"name":"Parallel Computing","url":"https://www.academia.edu/Documents/in/Parallel_Computing?f_ri=146","nofollow":false},{"id":447,"name":"Scientific Visualization","url":"https://www.academia.edu/Documents/in/Scientific_Visualization?f_ri=146","nofollow":false},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=146","nofollow":false},{"id":4278,"name":"Web Mining","url":"https://www.academia.edu/Documents/in/Web_Mining?f_ri=146"},{"id":8270,"name":"Forecasting","url":"https://www.academia.edu/Documents/in/Forecasting?f_ri=146"},{"id":9351,"name":"Image Analysis","url":"https://www.academia.edu/Documents/in/Image_Analysis?f_ri=146"},{"id":12417,"name":"Multimedia Learning","url":"https://www.academia.edu/Documents/in/Multimedia_Learning?f_ri=146"},{"id":15426,"name":"Spatial Data Mining (Data Mining)","url":"https://www.academia.edu/Documents/in/Spatial_Data_Mining_Data_Mining_?f_ri=146"},{"id":17613,"name":"Forest biometrics","url":"https://www.academia.edu/Documents/in/Forest_biometrics?f_ri=146"},{"id":23995,"name":"Educational Data Mining","url":"https://www.academia.edu/Documents/in/Educational_Data_Mining?f_ri=146"},{"id":27360,"name":"Databases","url":"https://www.academia.edu/Documents/in/Databases?f_ri=146"},{"id":39682,"name":"Graph Data Mining","url":"https://www.academia.edu/Documents/in/Graph_Data_Mining?f_ri=146"},{"id":80870,"name":"Parallel \u0026 Distributed Computing","url":"https://www.academia.edu/Documents/in/Parallel_and_Distributed_Computing?f_ri=146"},{"id":81182,"name":"Deep Learning","url":"https://www.academia.edu/Documents/in/Deep_Learning?f_ri=146"},{"id":84990,"name":"Clustering","url":"https://www.academia.edu/Documents/in/Clustering?f_ri=146"},{"id":115676,"name":"Cyber Security","url":"https://www.academia.edu/Documents/in/Cyber_Security?f_ri=146"},{"id":565185,"name":"Video to Text","url":"https://www.academia.edu/Documents/in/Video_to_Text?f_ri=146"},{"id":1916214,"name":"Evaluating of Credit Demands","url":"https://www.academia.edu/Documents/in/Evaluating_of_Credit_Demands?f_ri=146"},{"id":2923288,"name":"Pre-Processing Techniques","url":"https://www.academia.edu/Documents/in/Pre-Processing_Techniques?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_45631677" data-work_id="45631677" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/45631677/Call_For_Papers_7_th_International_Conference_on_Artificial_Intelligence_and_Applications_AI_2021_">Call For Papers - 7 th International Conference on Artificial Intelligence and Applications (AI 2021)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">7th International Conference on Artificial Intelligence and Applications (AI 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_45631677" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">7th International Conference on Artificial Intelligence and Applications (AI 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference <br />looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and <br />share cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/45631677" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="eec52927227b9612951f399f1fccda87" rel="nofollow" data-download="{"attachment_id":74727553,"asset_id":45631677,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74727553/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="19082339" href="https://independent.academia.edu/IjaiaJournal">International Journal of Artificial Intelligence (IJAIA)</a><script data-card-contents-for-user="19082339" type="text/json">{"id":19082339,"first_name":"International Journal of Artificial Intelligence","last_name":"(IJAIA)","domain_name":"independent","page_name":"IjaiaJournal","display_name":"International Journal of Artificial Intelligence (IJAIA)","profile_url":"https://independent.academia.edu/IjaiaJournal?f_ri=146","photo":"https://0.academia-photos.com/19082339/5301872/160061290/s65_international_journal_of_artificial_intelligence_applications._ijaia_.jpg"}</script></span></span></li><li class="js-paper-rank-work_45631677 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="45631677"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 45631677, container: ".js-paper-rank-work_45631677", }); 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$(".js-view-count[data-work-id=45631677]").text(description); $(".js-view-count-work_45631677").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_45631677").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="45631677"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="422" href="https://www.academia.edu/Documents/in/Computer_Science">Computer Science</a>, <script data-card-contents-for-ri="422" type="text/json">{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="451" href="https://www.academia.edu/Documents/in/Programming_Languages">Programming Languages</a>, <script data-card-contents-for-ri="451" type="text/json">{"id":451,"name":"Programming Languages","url":"https://www.academia.edu/Documents/in/Programming_Languages?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="464" href="https://www.academia.edu/Documents/in/Information_Retrieval">Information Retrieval</a><script data-card-contents-for-ri="464" type="text/json">{"id":464,"name":"Information Retrieval","url":"https://www.academia.edu/Documents/in/Information_Retrieval?f_ri=146","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=45631677]'), work: {"id":45631677,"title":"Call For Papers - 7 th International Conference on Artificial Intelligence and Applications (AI 2021)","created_at":"2021-03-28T23:25:26.034-07:00","url":"https://www.academia.edu/45631677/Call_For_Papers_7_th_International_Conference_on_Artificial_Intelligence_and_Applications_AI_2021_?f_ri=146","dom_id":"work_45631677","summary":"7th International Conference on Artificial Intelligence and Applications (AI 2021) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and its applications. The Conference \nlooks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and \nshare cutting-edge development in the field. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.\n","downloadable_attachments":[{"id":74727553,"asset_id":45631677,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":19082339,"first_name":"International Journal of Artificial Intelligence","last_name":"(IJAIA)","domain_name":"independent","page_name":"IjaiaJournal","display_name":"International Journal of Artificial Intelligence 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Vision","url":"https://www.academia.edu/Documents/in/Computer_Vision?f_ri=146"},{"id":1432,"name":"Natural Language Processing","url":"https://www.academia.edu/Documents/in/Natural_Language_Processing?f_ri=146"},{"id":2008,"name":"Machine Learning","url":"https://www.academia.edu/Documents/in/Machine_Learning?f_ri=146"},{"id":2009,"name":"Data Mining","url":"https://www.academia.edu/Documents/in/Data_Mining?f_ri=146"},{"id":3414,"name":"Mechatronics","url":"https://www.academia.edu/Documents/in/Mechatronics?f_ri=146"},{"id":3419,"name":"Multimedia","url":"https://www.academia.edu/Documents/in/Multimedia?f_ri=146"},{"id":4165,"name":"Fuzzy Logic","url":"https://www.academia.edu/Documents/in/Fuzzy_Logic?f_ri=146"},{"id":4233,"name":"Computational Biology","url":"https://www.academia.edu/Documents/in/Computational_Biology?f_ri=146"},{"id":5109,"name":"Pattern Recognition","url":"https://www.academia.edu/Documents/in/Pattern_Recognition?f_ri=146"},{"id":6132,"name":"Soft 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u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/14878993/Low_Back_Pain_Prevalence_and_Associated_Factors_in">Low Back Pain Prevalence and Associated Factors in</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/14878993" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="67ffbeb8a1eeb8031d65121bc98f557a" rel="nofollow" data-download="{"attachment_id":43813368,"asset_id":14878993,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/43813368/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="33853236" href="https://uswr.academia.edu/EnayatollahBakhshi">Enayatollah Bakhshi</a><script data-card-contents-for-user="33853236" type="text/json">{"id":33853236,"first_name":"Enayatollah","last_name":"Bakhshi","domain_name":"uswr","page_name":"EnayatollahBakhshi","display_name":"Enayatollah Bakhshi","profile_url":"https://uswr.academia.edu/EnayatollahBakhshi?f_ri=146","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_14878993 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="14878993"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 14878993, container: ".js-paper-rank-work_14878993", }); });</script></li><li class="js-percentile-work_14878993 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14878993; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_14878993"); 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class="u-positionAbsolute" data-has-card-for-ri-list="14878993"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">4</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8014" href="https://www.academia.edu/Documents/in/Life_Sciences">Life Sciences</a>, <script data-card-contents-for-ri="8014" type="text/json">{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="66744" href="https://www.academia.edu/Documents/in/Biomedical_Research">Biomedical Research</a>, <script data-card-contents-for-ri="66744" type="text/json">{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="1622979" href="https://www.academia.edu/Documents/in/Pain_Treatment">Pain Treatment</a><script data-card-contents-for-ri="1622979" type="text/json">{"id":1622979,"name":"Pain Treatment","url":"https://www.academia.edu/Documents/in/Pain_Treatment?f_ri=146","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=14878993]'), work: {"id":14878993,"title":"Low Back Pain Prevalence and Associated Factors in","created_at":"2015-08-12T08:44:59.547-07:00","url":"https://www.academia.edu/14878993/Low_Back_Pain_Prevalence_and_Associated_Factors_in?f_ri=146","dom_id":"work_14878993","summary":null,"downloadable_attachments":[{"id":43813368,"asset_id":14878993,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":33853236,"first_name":"Enayatollah","last_name":"Bakhshi","domain_name":"uswr","page_name":"EnayatollahBakhshi","display_name":"Enayatollah Bakhshi","profile_url":"https://uswr.academia.edu/EnayatollahBakhshi?f_ri=146","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research?f_ri=146","nofollow":false},{"id":1622979,"name":"Pain Treatment","url":"https://www.academia.edu/Documents/in/Pain_Treatment?f_ri=146","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_32645517" data-work_id="32645517" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/32645517/Inlay_retained_fixed_dental_prosthesis_a_clinical_option_using_monolithic_zirconia">Inlay-retained fixed dental prosthesis: a clinical option using monolithic zirconia</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">DIFFERENT INDIRECT RESTORATIONS TO REPLACE A SINGLE MISSING TOOTH IN THE POSTERIOR REGION ARE AVAILABLE IN DENTISTRY: traditional full-coverage fixed dental prostheses (FDPs), implant-supported crowns (ISC), and inlay-retained FDPs... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_32645517" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">DIFFERENT INDIRECT RESTORATIONS TO REPLACE A SINGLE MISSING TOOTH IN THE POSTERIOR REGION ARE AVAILABLE IN DENTISTRY: traditional full-coverage fixed dental prostheses (FDPs), implant-supported crowns (ISC), and inlay-retained FDPs (IRFDP). Resin bonded FDPs represent a minimally invasive procedure; preexisting fillings can minimize tooth structure removal and give retention to the IRFDP, transforming it into an ultraconservative option. New high strength zirconia ceramics, with their stiffness and high mechanical properties, could be considered a right choice for an IRFDP rehabilitation. The case report presented describes an IRFDP treatment using a CAD/CAM monolithic zirconia IRFDP; clinical and laboratory steps are illustrated, according to the most recent scientific protocols. Adhesive procedures are focused on the Y-TZP and tooth substrate conditioning methods. Nice esthetic and functional integration of indirect restoration at two-year follow-up confirmed the success of this c...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/32645517" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6bda46ece3d3ad4f75a717d9f04ecb91" rel="nofollow" data-download="{"attachment_id":52814918,"asset_id":32645517,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/52814918/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="63463360" href="https://independent.academia.edu/BorgonovoAndrea">Andrea Borgonovo</a><script data-card-contents-for-user="63463360" type="text/json">{"id":63463360,"first_name":"Andrea","last_name":"Borgonovo","domain_name":"independent","page_name":"BorgonovoAndrea","display_name":"Andrea Borgonovo","profile_url":"https://independent.academia.edu/BorgonovoAndrea?f_ri=146","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_32645517 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="32645517"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 32645517, container: ".js-paper-rank-work_32645517", }); 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Resin bonded FDPs represent a minimally invasive procedure; preexisting fillings can minimize tooth structure removal and give retention to the IRFDP, transforming it into an ultraconservative option. New high strength zirconia ceramics, with their stiffness and high mechanical properties, could be considered a right choice for an IRFDP rehabilitation. The case report presented describes an IRFDP treatment using a CAD/CAM monolithic zirconia IRFDP; clinical and laboratory steps are illustrated, according to the most recent scientific protocols. Adhesive procedures are focused on the Y-TZP and tooth substrate conditioning methods. 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data-work_id="57104465" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/57104465/Dietary_intake_growth_and_development_of_children_with_ADHD_in_a_randomized_clinical_trial_of_Ritalin_and_Melatonin_co_administration_Through_circadian_cycle_modification_or_appetite_enhancement">Dietary intake, growth and development of children with ADHD in a randomized clinical trial of Ritalin and Melatonin co-administration: Through circadian cycle modification or appetite enhancement?</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">It is postulated that ritalin may adversely affect sleep, appetite, weight and growth of some children with ADHD. Therefore, we aimed to evaluate melatonin supplementation effects on dietary intake, growth and development of children with... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_57104465" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">It is postulated that ritalin may adversely affect sleep, appetite, weight and growth of some children with ADHD. Therefore, we aimed to evaluate melatonin supplementation effects on dietary intake, growth and development of children with ADHD treated with ritalin through circadian cycle modification and appetite mechanisms. After obtaining consent from parents, 50 children aged 7-12 with combined form of AD/HD were randomly divided into two groups based on gender blocks: one received melatonin (3 or 6 mg based on weight) combined with ritalin (1mg/kg) and the other took placebo combined with ritalin (1mg/kg) in a double blind randomized clinical trial. Three-day food record, and standard weight and height of children were evaluated prior to the treatment and 8 weeks after the treatment. Children&#39;s appetite and sleep were evaluated in weeks 0, 2, 4 and 8. Hypotheses were then analyzed using SPSS17. Paired sample t-test showed significant changes in sleep latency (23.15±15.25 vs....</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/57104465" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="91152738f899002234d95f385d74f848" rel="nofollow" data-download="{"attachment_id":72163848,"asset_id":57104465,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/72163848/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="49922873" href="https://independent.academia.edu/MohammadEshraghian">Mohammad Eshraghian</a><script data-card-contents-for-user="49922873" type="text/json">{"id":49922873,"first_name":"Mohammad","last_name":"Eshraghian","domain_name":"independent","page_name":"MohammadEshraghian","display_name":"Mohammad Eshraghian","profile_url":"https://independent.academia.edu/MohammadEshraghian?f_ri=146","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_57104465 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="57104465"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 57104465, container: ".js-paper-rank-work_57104465", }); 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Authors are solicited to contribute to the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_53667751" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">9<br />th International Conference of Artificial Intelligence and Fuzzy Logic (AI & FL 2021)<br />provides a forum for researchers who address this issue and to present their work in a peerreviewed forum. Authors are solicited to contribute to the conference by submitting articles that <br />illustrate research results, projects, surveying works and industrial experiences that describe <br />significant advances in the following areas, but are not limited to these topics only.<br />Authors are solicited to contribute to this conference by submitting articles that illustrate <br />research results, projects, surveying works and industrial experiences that describe significant <br />advances in the areas of Artificial Intelligence & applications</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/53667751" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="18c48bc20973075fce959a5311f5256c" rel="nofollow" data-download="{"attachment_id":74355440,"asset_id":53667751,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/74355440/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="74164909" href="https://annauniv.academia.edu/ijitcsjournal">International Journal of Information Technology Convergence and services (IJITCS)</a><script data-card-contents-for-user="74164909" type="text/json">{"id":74164909,"first_name":"International Journal of Information Technology Convergence and services","last_name":"(IJITCS)","domain_name":"annauniv","page_name":"ijitcsjournal","display_name":"International Journal of Information Technology Convergence and services (IJITCS)","profile_url":"https://annauniv.academia.edu/ijitcsjournal?f_ri=146","photo":"https://0.academia-photos.com/74164909/18840627/84065623/s65_international_journal_of_information_technology_convergence_and_services._ijitcs_.jpg"}</script></span></span></li><li class="js-paper-rank-work_53667751 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="53667751"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 53667751, container: ".js-paper-rank-work_53667751", }); 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})();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_72565403" data-work_id="72565403" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/72565403/Call_for_Paper_8th_International_Conference_on_Artificial_Intelligence_and_Soft_Computing_AIS_2022_">Call for Paper - 8th International Conference on Artificial Intelligence and Soft Computing (AIS 2022)</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">8 th International Conference on Artificial Intelligence and Soft Computing (AIS 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and applications of Artificial Intelligence,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_72565403" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">8 th International Conference on Artificial Intelligence and Soft Computing (AIS 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology, and applications of Artificial Intelligence, Soft Computing. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. 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type="text/json">{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="14195" href="https://www.academia.edu/Documents/in/Cancer_Biology">Cancer Biology</a>, <script data-card-contents-for-ri="14195" type="text/json">{"id":14195,"name":"Cancer Biology","url":"https://www.academia.edu/Documents/in/Cancer_Biology?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="881606" href="https://www.academia.edu/Documents/in/Cancer_drug_resistance">Cancer drug resistance</a><script data-card-contents-for-ri="881606" type="text/json">{"id":881606,"name":"Cancer drug resistance","url":"https://www.academia.edu/Documents/in/Cancer_drug_resistance?f_ri=146","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=78058300]'), work: {"id":78058300,"title":"Bulbine frutescens phytochemicals as novel ABC-transporter inhibitor: a molecular docking and molecular dynamics simulation study","created_at":"2022-04-30T10:01:49.071-07:00","url":"https://www.academia.edu/78058300/Bulbine_frutescens_phytochemicals_as_novel_ABC_transporter_inhibitor_a_molecular_docking_and_molecular_dynamics_simulation_study?f_ri=146","dom_id":"work_78058300","summary":null,"downloadable_attachments":[{"id":85237536,"asset_id":78058300,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":118647225,"first_name":"Santosh","last_name":"Maurya","domain_name":"smriti","page_name":"SantoshMaurya","display_name":"Santosh K Maurya","profile_url":"https://smriti.academia.edu/SantoshMaurya?f_ri=146","photo":"https://0.academia-photos.com/118647225/34707900/37638155/s65_santosh.maurya.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry?f_ri=146","nofollow":false},{"id":14195,"name":"Cancer Biology","url":"https://www.academia.edu/Documents/in/Cancer_Biology?f_ri=146","nofollow":false},{"id":881606,"name":"Cancer drug resistance","url":"https://www.academia.edu/Documents/in/Cancer_drug_resistance?f_ri=146","nofollow":false},{"id":3802508,"name":"Stemness Marker","url":"https://www.academia.edu/Documents/in/Stemness_Marker?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_77237481" data-work_id="77237481" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/77237481/Immunization_coverage_and_predictive_factors_for_complete_and_age_appropriate_vaccination_among_preschoolers_in_Athens_Greece_a_cross_sectional_study">Immunization coverage and predictive factors for complete and age-appropriate vaccination among preschoolers in Athens, Greece: a cross- sectional study</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/77237481" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" 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data-has-card-for-user="56958749" href="https://en-uoa-gr.academia.edu/KoraliaMichail">Koralia A Michail</a><script data-card-contents-for-user="56958749" type="text/json">{"id":56958749,"first_name":"Koralia","last_name":"Michail","domain_name":"en-uoa-gr","page_name":"KoraliaMichail","display_name":"Koralia A Michail","profile_url":"https://en-uoa-gr.academia.edu/KoraliaMichail?f_ri=146","photo":"https://0.academia-photos.com/56958749/14964593/15870631/s65_koralia.michail.jpg"}</script></span></span></li><li class="js-paper-rank-work_77237481 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="77237481"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 77237481, container: ".js-paper-rank-work_77237481", }); });</script></li><li class="js-percentile-work_77237481 InlineList-item InlineList-item--bordered hidden 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'View'); $(".js-view-count[data-work-id=77237481]").text(description); $(".js-view-count-work_77237481").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_77237481").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="77237481"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">20</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8014" href="https://www.academia.edu/Documents/in/Life_Sciences">Life Sciences</a>, <script data-card-contents-for-ri="8014" type="text/json">{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="26327" href="https://www.academia.edu/Documents/in/Medicine">Medicine</a>, <script data-card-contents-for-ri="26327" type="text/json">{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="48044" href="https://www.academia.edu/Documents/in/Greece">Greece</a><script data-card-contents-for-ri="48044" type="text/json">{"id":48044,"name":"Greece","url":"https://www.academia.edu/Documents/in/Greece?f_ri=146","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=77237481]'), work: {"id":77237481,"title":"Immunization coverage and predictive factors for complete and age-appropriate vaccination among preschoolers in Athens, Greece: a cross- sectional study","created_at":"2022-04-21T22:16:05.650-07:00","url":"https://www.academia.edu/77237481/Immunization_coverage_and_predictive_factors_for_complete_and_age_appropriate_vaccination_among_preschoolers_in_Athens_Greece_a_cross_sectional_study?f_ri=146","dom_id":"work_77237481","summary":null,"downloadable_attachments":[{"id":84658901,"asset_id":77237481,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":56958749,"first_name":"Koralia","last_name":"Michail","domain_name":"en-uoa-gr","page_name":"KoraliaMichail","display_name":"Koralia A Michail","profile_url":"https://en-uoa-gr.academia.edu/KoraliaMichail?f_ri=146","photo":"https://0.academia-photos.com/56958749/14964593/15870631/s65_koralia.michail.jpg"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=146","nofollow":false},{"id":48044,"name":"Greece","url":"https://www.academia.edu/Documents/in/Greece?f_ri=146","nofollow":false},{"id":63331,"name":"Hepatitis B","url":"https://www.academia.edu/Documents/in/Hepatitis_B?f_ri=146"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans?f_ri=146"},{"id":64933,"name":"Child","url":"https://www.academia.edu/Documents/in/Child?f_ri=146"},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research?f_ri=146"},{"id":98925,"name":"Female","url":"https://www.academia.edu/Documents/in/Female?f_ri=146"},{"id":111545,"name":"Male","url":"https://www.academia.edu/Documents/in/Male?f_ri=146"},{"id":134346,"name":"Infant","url":"https://www.academia.edu/Documents/in/Infant?f_ri=146"},{"id":136892,"name":"Immunization","url":"https://www.academia.edu/Documents/in/Immunization?f_ri=146"},{"id":162282,"name":"Mothers","url":"https://www.academia.edu/Documents/in/Mothers?f_ri=146"},{"id":179934,"name":"Vaccination","url":"https://www.academia.edu/Documents/in/Vaccination?f_ri=146"},{"id":546419,"name":"Age Factors","url":"https://www.academia.edu/Documents/in/Age_Factors?f_ri=146"},{"id":546421,"name":"Educational Status","url":"https://www.academia.edu/Documents/in/Educational_Status?f_ri=146"},{"id":1034181,"name":"Cross Sectional Studies","url":"https://www.academia.edu/Documents/in/Cross_Sectional_Studies?f_ri=146"},{"id":2409662,"name":"Immunization Programs","url":"https://www.academia.edu/Documents/in/Immunization_Programs?f_ri=146"},{"id":2489700,"name":"Child preschool","url":"https://www.academia.edu/Documents/in/Child_preschool?f_ri=146"},{"id":2618448,"name":"Family Characteristics","url":"https://www.academia.edu/Documents/in/Family_Characteristics?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_77057673" data-work_id="77057673" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/77057673/Supported_employment_cost_effectiveness_across_six_European_sites">Supported employment: cost-effectiveness across six European sites</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/77057673" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="60deef7cf9684fcc92f24f7b3e93a750" rel="nofollow" data-download="{"attachment_id":84606873,"asset_id":77057673,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/84606873/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i 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data-paper-rank-work-id="77057673"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 77057673, container: ".js-paper-rank-work_77057673", }); });</script></li><li class="js-percentile-work_77057673 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77057673; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_77057673"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_77057673 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="77057673"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77057673; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77057673]").text(description); $(".js-view-count-work_77057673").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_77057673").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="77057673"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">8</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="221" href="https://www.academia.edu/Documents/in/Psychology">Psychology</a>, <script data-card-contents-for-ri="221" type="text/json">{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="724" href="https://www.academia.edu/Documents/in/Economics">Economics</a>, <script data-card-contents-for-ri="724" type="text/json">{"id":724,"name":"Economics","url":"https://www.academia.edu/Documents/in/Economics?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="8014" href="https://www.academia.edu/Documents/in/Life_Sciences">Life Sciences</a><script data-card-contents-for-ri="8014" type="text/json">{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=77057673]'), work: {"id":77057673,"title":"Supported employment: cost-effectiveness across six European sites","created_at":"2022-04-20T04:11:58.012-07:00","url":"https://www.academia.edu/77057673/Supported_employment_cost_effectiveness_across_six_European_sites?f_ri=146","dom_id":"work_77057673","summary":null,"downloadable_attachments":[{"id":84606873,"asset_id":77057673,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":32962378,"first_name":"Tom","last_name":"Burns","domain_name":"independent","page_name":"TomBurns11","display_name":"Tom Burns","profile_url":"https://independent.academia.edu/TomBurns11?f_ri=146","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology?f_ri=146","nofollow":false},{"id":724,"name":"Economics","url":"https://www.academia.edu/Documents/in/Economics?f_ri=146","nofollow":false},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=146"},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research?f_ri=146"},{"id":87272,"name":"Work","url":"https://www.academia.edu/Documents/in/Work?f_ri=146"},{"id":244814,"name":"Clinical Sciences","url":"https://www.academia.edu/Documents/in/Clinical_Sciences?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_76673539" data-work_id="76673539" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/76673539/Effects_of_Severe_Hypoxia_on_Bone_Marrow_Mesenchymal_Stem_Cells_Differentiation_Potential">Effects of Severe Hypoxia on Bone Marrow Mesenchymal Stem Cells Differentiation Potential</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Background. The interests in mesenchymal stem cells (MSCs) and their application in cell therapy have resulted in a better understanding of the basic biology of these cells. Recently hypoxia has been indicated as crucial for complete... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_76673539" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Background. The interests in mesenchymal stem cells (MSCs) and their application in cell therapy have resulted in a better understanding of the basic biology of these cells. Recently hypoxia has been indicated as crucial for complete chondrogenesis. We aimed at analyzing bone marrow MSCs (BM-MSCs) differentiation capacity under normoxic and severe hypoxic culture conditions.Methods. MSCs were characterized by flow cytometry and differentiated towards adipocytes, osteoblasts, and chondrocytes under normoxic or severe hypoxic conditions. The differentiations were confirmed comparing each treated point with a control point made of cells grown in DMEM and fetal bovine serum (FBS).Results. BM-MSCs from the donors displayed only few phenotypical differences in surface antigens expressions. Analyzing marker genes expression levels of the treated cells compared to their control point for each lineage showed a good differentiation in normoxic conditions and the absence of this differentiatio...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/76673539" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="bccd7f1d418c054cd577ebe9fd95d798" rel="nofollow" data-download="{"attachment_id":84303023,"asset_id":76673539,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/84303023/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="41314696" href="https://independent.academia.edu/SDiazPrado">S. Díaz-Prado</a><script data-card-contents-for-user="41314696" type="text/json">{"id":41314696,"first_name":"S.","last_name":"Díaz-Prado","domain_name":"independent","page_name":"SDiazPrado","display_name":"S. 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The interests in mesenchymal stem cells (MSCs) and their application in cell therapy have resulted in a better understanding of the basic biology of these cells. Recently hypoxia has been indicated as crucial for complete chondrogenesis. We aimed at analyzing bone marrow MSCs (BM-MSCs) differentiation capacity under normoxic and severe hypoxic culture conditions.Methods. MSCs were characterized by flow cytometry and differentiated towards adipocytes, osteoblasts, and chondrocytes under normoxic or severe hypoxic conditions. The differentiations were confirmed comparing each treated point with a control point made of cells grown in DMEM and fetal bovine serum (FBS).Results. BM-MSCs from the donors displayed only few phenotypical differences in surface antigens expressions. Analyzing marker genes expression levels of the treated cells compared to their control point for each lineage showed a good differentiation in normoxic conditions and the absence of this differentiatio...","downloadable_attachments":[{"id":84303023,"asset_id":76673539,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":41314696,"first_name":"S.","last_name":"Díaz-Prado","domain_name":"independent","page_name":"SDiazPrado","display_name":"S. Díaz-Prado","profile_url":"https://independent.academia.edu/SDiazPrado?f_ri=146","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":3642,"name":"Stem Cells","url":"https://www.academia.edu/Documents/in/Stem_Cells?f_ri=146","nofollow":false},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false},{"id":10990,"name":"Hypoxia","url":"https://www.academia.edu/Documents/in/Hypoxia?f_ri=146","nofollow":false},{"id":23163,"name":"Stem Cell","url":"https://www.academia.edu/Documents/in/Stem_Cell?f_ri=146"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=146"},{"id":60436,"name":"Cell Differentiation","url":"https://www.academia.edu/Documents/in/Cell_Differentiation?f_ri=146"},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research?f_ri=146"},{"id":194810,"name":"Differentiation","url":"https://www.academia.edu/Documents/in/Differentiation?f_ri=146"},{"id":606065,"name":"Chondrogenesis","url":"https://www.academia.edu/Documents/in/Chondrogenesis?f_ri=146"},{"id":1773302,"name":"Mesenchymal Stromal Cell","url":"https://www.academia.edu/Documents/in/Mesenchymal_Stromal_Cell?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73174261" data-work_id="73174261" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73174261/Clostridial_spores_as_live_Trojan_horse_vectors_for_cancer_gene_therapy_comparison_with_viral_delivery_systems">Clostridial spores as live 'Trojan horse' vectors for cancer gene therapy: comparison with viral delivery systems</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73174261" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="026b060338d1a35ad3a8f53aef51fba1" rel="nofollow" data-download="{"attachment_id":81796907,"asset_id":73174261,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81796907/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="103346236" href="https://kuleuven.academia.edu/JANNE">Jozef ANNE</a><script data-card-contents-for-user="103346236" type="text/json">{"id":103346236,"first_name":"Jozef","last_name":"ANNE","domain_name":"kuleuven","page_name":"JANNE","display_name":"Jozef ANNE","profile_url":"https://kuleuven.academia.edu/JANNE?f_ri=146","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_73174261 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container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_73174261 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="73174261"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 73174261; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=73174261]").text(description); $(".js-view-count-work_73174261").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_73174261").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="73174261"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">17</a>  </div><span class="InlineList-item-text u-textTruncate u-pl10x"><a class="InlineList-item-text" data-has-card-for-ri="146" href="https://www.academia.edu/Documents/in/Bioinformatics">Bioinformatics</a>, <script data-card-contents-for-ri="146" type="text/json">{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="156" href="https://www.academia.edu/Documents/in/Genetics">Genetics</a>, <script data-card-contents-for-ri="156" type="text/json">{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="159" href="https://www.academia.edu/Documents/in/Microbiology">Microbiology</a>, <script data-card-contents-for-ri="159" type="text/json">{"id":159,"name":"Microbiology","url":"https://www.academia.edu/Documents/in/Microbiology?f_ri=146","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="167" href="https://www.academia.edu/Documents/in/Physiology">Physiology</a><script data-card-contents-for-ri="167" type="text/json">{"id":167,"name":"Physiology","url":"https://www.academia.edu/Documents/in/Physiology?f_ri=146","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=73174261]'), work: {"id":73174261,"title":"Clostridial spores as live 'Trojan horse' vectors for cancer gene therapy: comparison with viral delivery systems","created_at":"2022-03-06T04:18:07.689-08:00","url":"https://www.academia.edu/73174261/Clostridial_spores_as_live_Trojan_horse_vectors_for_cancer_gene_therapy_comparison_with_viral_delivery_systems?f_ri=146","dom_id":"work_73174261","summary":null,"downloadable_attachments":[{"id":81796907,"asset_id":73174261,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":103346236,"first_name":"Jozef","last_name":"ANNE","domain_name":"kuleuven","page_name":"JANNE","display_name":"Jozef ANNE","profile_url":"https://kuleuven.academia.edu/JANNE?f_ri=146","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":156,"name":"Genetics","url":"https://www.academia.edu/Documents/in/Genetics?f_ri=146","nofollow":false},{"id":159,"name":"Microbiology","url":"https://www.academia.edu/Documents/in/Microbiology?f_ri=146","nofollow":false},{"id":167,"name":"Physiology","url":"https://www.academia.edu/Documents/in/Physiology?f_ri=146","nofollow":false},{"id":7864,"name":"Gene Therapy","url":"https://www.academia.edu/Documents/in/Gene_Therapy?f_ri=146"},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146"},{"id":10030,"name":"Radiation Therapy","url":"https://www.academia.edu/Documents/in/Radiation_Therapy?f_ri=146"},{"id":27784,"name":"Gene expression","url":"https://www.academia.edu/Documents/in/Gene_expression?f_ri=146"},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research?f_ri=146"},{"id":78754,"name":"Cancer Therapy","url":"https://www.academia.edu/Documents/in/Cancer_Therapy?f_ri=146"},{"id":102875,"name":"Genetic vaccines","url":"https://www.academia.edu/Documents/in/Genetic_vaccines?f_ri=146"},{"id":104501,"name":"Anaerobic Bacteria","url":"https://www.academia.edu/Documents/in/Anaerobic_Bacteria?f_ri=146"},{"id":187732,"name":"Cancer Gene Therapy","url":"https://www.academia.edu/Documents/in/Cancer_Gene_Therapy?f_ri=146"},{"id":231661,"name":"Enzyme","url":"https://www.academia.edu/Documents/in/Enzyme?f_ri=146"},{"id":421276,"name":"Delivery System","url":"https://www.academia.edu/Documents/in/Delivery_System?f_ri=146"},{"id":679783,"name":"Boolean Satisfiability","url":"https://www.academia.edu/Documents/in/Boolean_Satisfiability?f_ri=146"},{"id":3477929,"name":"Viral Vector","url":"https://www.academia.edu/Documents/in/Viral_Vector?f_ri=146"}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_73054413" data-work_id="73054413" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/73054413/Personalized_medicine_The_return_of_the_house_call">Personalized medicine: The return of the house call?</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Personalized medicine is a new mantra evolving in health care. Harnessing each person&#39;s clinical, genetic, genomic, and environmental information drives the concept. The idea is simple. We can maximize a patient&#39;s chances of a... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_73054413" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Personalized medicine is a new mantra evolving in health care. Harnessing each person&#39;s clinical, genetic, genomic, and environmental information drives the concept. The idea is simple. We can maximize a patient&#39;s chances of a better outcome if we base treatments on what we know. However, isn&#39;t this in many ways the way it&#39;s always been? Isn&#39;t this in part the basis for that old-time house call? To see how a disease or condition is being cared for in the home environment? Clinicians have long used personalized medicine, without overt use of single nucleotide polymorphisms, but certainly not totally void of genetic information. Of course, physicians of the past did not have gene chips, but they did have family histories often informing their decisions. Today as we raise the hopes for targeted therapies to break us free from the algorithmic treatments often followed by hit and miss approaches, there is a renewed fervor for personalized medicine. How do we get there...</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/73054413" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="2a4c9e584c33f9ac42d7a446ebdae804" rel="nofollow" data-download="{"attachment_id":81728333,"asset_id":73054413,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/81728333/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="200766522" href="https://ua-birmingham.academia.edu/GaryCutter">Gary Cutter</a><script data-card-contents-for-user="200766522" type="text/json">{"id":200766522,"first_name":"Gary","last_name":"Cutter","domain_name":"ua-birmingham","page_name":"GaryCutter","display_name":"Gary Cutter","profile_url":"https://ua-birmingham.academia.edu/GaryCutter?f_ri=146","photo":"/images/s65_no_pic.png"}</script></span></span></li><li class="js-paper-rank-work_73054413 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="73054413"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 73054413, container: ".js-paper-rank-work_73054413", }); 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Harnessing each person\u0026#39;s clinical, genetic, genomic, and environmental information drives the concept. The idea is simple. We can maximize a patient\u0026#39;s chances of a better outcome if we base treatments on what we know. However, isn\u0026#39;t this in many ways the way it\u0026#39;s always been? Isn\u0026#39;t this in part the basis for that old-time house call? To see how a disease or condition is being cared for in the home environment? Clinicians have long used personalized medicine, without overt use of single nucleotide polymorphisms, but certainly not totally void of genetic information. Of course, physicians of the past did not have gene chips, but they did have family histories often informing their decisions. Today as we raise the hopes for targeted therapies to break us free from the algorithmic treatments often followed by hit and miss approaches, there is a renewed fervor for personalized medicine. How do we get there...","downloadable_attachments":[{"id":81728333,"asset_id":73054413,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":200766522,"first_name":"Gary","last_name":"Cutter","domain_name":"ua-birmingham","page_name":"GaryCutter","display_name":"Gary Cutter","profile_url":"https://ua-birmingham.academia.edu/GaryCutter?f_ri=146","photo":"/images/s65_no_pic.png"}],"research_interests":[{"id":146,"name":"Bioinformatics","url":"https://www.academia.edu/Documents/in/Bioinformatics?f_ri=146","nofollow":false},{"id":8014,"name":"Life Sciences","url":"https://www.academia.edu/Documents/in/Life_Sciences?f_ri=146","nofollow":false},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine?f_ri=146","nofollow":false},{"id":66744,"name":"Biomedical Research","url":"https://www.academia.edu/Documents/in/Biomedical_Research?f_ri=146","nofollow":false}]}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_70440180 coauthored" data-work_id="70440180" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/70440180/A_tutorial_on_8_genotype_files_conversion">A tutorial on 8 genotype files conversion</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">This article documents the files format conversion procedures for eight different genotype file formats using existing tools like Plink, Samtools, Gtools, and custom code script where necessary. It provides documentation and the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_70440180" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">This article documents the files format conversion procedures for eight different genotype file formats using existing tools like Plink, Samtools, Gtools, and custom code script where necessary. It provides documentation and the corresponding code segment for each conversion to serve conversion procedures in a plate to beginners and researchers to build on top of the existing code to develop enhanced and fast conversion procedures. The code is written in Python and GNU commands, enabling deployment from general-purpose computers to high-performance computing setups. In addition, the documentation is written in the form of the tutorial, highlighting the reason for using a particular step in the conversion procedure and its effect on intermediate genotype data, ultimately enhancing the comprehension abilities of people struggling with file conversion when developing their pipelines for the analysis. In the first version of the documentation, we considered eight file formats: VCF, BED-BIM-FAM, PED-MAP, GEN-SAMPLE, RAW, HAPS-LEGEND-SAMPLE, 23andme, and AncestryDNA.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/70440180" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="7271aef3017128e56b1bdf5ec6b543db" rel="nofollow" data-download="{"attachment_id":80192059,"asset_id":70440180,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/80192059/download_file?st=MTczMjM3NTA5MSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="130851795" href="https://independent.academia.edu/MuhammadMuneeb91">Muhammad Muneeb</a><script data-card-contents-for-user="130851795" type="text/json">{"id":130851795,"first_name":"Muhammad","last_name":"Muneeb","domain_name":"independent","page_name":"MuhammadMuneeb91","display_name":"Muhammad Muneeb","profile_url":"https://independent.academia.edu/MuhammadMuneeb91?f_ri=146","photo":"https://0.academia-photos.com/130851795/33957736/61139838/s65_muhammad.muneeb.jpg"}</script></span></span><span class="u-displayInlineBlock InlineList-item-text"> and <span class="u-textDecorationUnderline u-clickable InlineList-item-text js-work-more-authors-70440180">+1</span><div class="hidden js-additional-users-70440180"><div><span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a href="https://independent.academia.edu/HenschelAndreas">Andreas Henschel</a></span></div></div></span><script>(function(){ var popoverSettings = { el: $('.js-work-more-authors-70440180'), placement: 'bottom', hide_delay: 200, html: true, content: function(){ return $('.js-additional-users-70440180').html(); 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It provides documentation and the corresponding code segment for each conversion to serve conversion procedures in a plate to beginners and researchers to build on top of the existing code to develop enhanced and fast conversion procedures. The code is written in Python and GNU commands, enabling deployment from general-purpose computers to high-performance computing setups. In addition, the documentation is written in the form of the tutorial, highlighting the reason for using a particular step in the conversion procedure and its effect on intermediate genotype data, ultimately enhancing the comprehension abilities of people struggling with file conversion when developing their pipelines for the analysis. In the first version of the documentation, we considered eight file formats: VCF, BED-BIM-FAM, PED-MAP, GEN-SAMPLE, RAW, HAPS-LEGEND-SAMPLE, 23andme, and AncestryDNA.","downloadable_attachments":[{"id":80192059,"asset_id":70440180,"asset_type":"Work","always_allow_download":false}],"ordered_authors":[{"id":130851795,"first_name":"Muhammad","last_name":"Muneeb","domain_name":"independent","page_name":"MuhammadMuneeb91","display_name":"Muhammad Muneeb","profile_url":"https://independent.academia.edu/MuhammadMuneeb91?f_ri=146","photo":"https://0.academia-photos.com/130851795/33957736/61139838/s65_muhammad.muneeb.jpg"},{"id":215465028,"first_name":"Andreas","last_name":"Henschel","domain_name":"independent","page_name":"HenschelAndreas","display_name":"Andreas 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patients&#39; response to acute relapse treatment. In practice, assessments are often... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_12754569" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">There are currently no assessment tools that focus on evaluating patients with multiple sclerosis (MS) who are experiencing a relapse or that evaluate patients&#39; response to acute relapse treatment. In practice, assessments are often subjective, potentially resulting in overlooked symptoms, unaddressed patient concerns, unnoticed or underrecognized side effects of therapies (both disease modifying and symptomatic), and suboptimal therapeutic response. Systematic evaluation of specific symptoms and potential side effects can minimize the likelihood of overlooking important information. However, given the number of potential symptoms and adverse events that patients may experience, an exhaustive evaluation can be time-consuming. Clinicians are thus challenged to balance thoroughness with brevity. 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