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These disturbances can be modeled with technology and data obtained by modern methods, such as by drone, to monitor cities in near real-time as well as help to simulate risk... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl4_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='235721' /><input id="hfTitle" type="hidden" value='Methods and Applications of Geospatial Technology in Sustainable Urbanism' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-7998-2249-3' /></div></div><div id="title326802" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9798369311868.png" alt="Sustainable Science and Intelligent Technologies for Societal Development" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=326802&ptid=73810&t=sustainable science and intelligent technologies for societal development' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl5_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Sustainable Science and Intelligent Technologies for Societal Development', 'https://coverimages.igi-global.com/cover-images/covers/9798369311868.png', 'Sustainable Science and Intelligent Technologies for Societal Development', 'True', 326802, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=326802&ptid=73810&t=sustainable science and intelligent technologies for societal development" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/sustainable-science-intelligent-technologies-societal/326802' style="display: inline;" ><span id="titleLink" class="title"> Sustainable Science and Intelligent Technologies for Societal Development </span></a><div class="info" style="color: #00812b;"> Brojo Kishore Mishra. © 2023. 572 pages. </div><div class="abstract" style="width: 100%;"> In today's world, the pressing challenges of sustainable development and societal progress demand innovative solutions that harness the power of science and technology. From climate change to resource depletion and social inequalities, the urgency to find sustainable, intelligent, and ethical... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl5_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='326802' /><input id="hfTitle" type="hidden" value='Sustainable Science and Intelligent Technologies for Societal Development' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/979-8-3693-1186-8' /></div></div><div id="title272592" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9781799886860.png" alt="Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=272592&ptid=73674&t=handbook of research on new investigations in artificial life, ai, and machine learning' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl6_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning', 'https://coverimages.igi-global.com/cover-images/covers/9781799886860.png', 'Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning', 'True', 272592, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=272592&ptid=73674&t=handbook of research on new investigations in artificial life, ai, and machine learning" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/handbook-research-new-investigations-artificial/272592' style="display: inline;" ><span id="titleLink" class="title"> Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning </span></a><div class="info" style="color: #00812b;"> Maki K. Habib. © 2022. 565 pages. </div><div class="abstract" style="width: 100%;"> As technology spreads globally, researchers and scientists continue to develop and study the strategy behind creating artificial life. This research field is ever expanding, and it is essential to stay current in the contemporary trends in artificial life, artificial intelligence, and machine learning.... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl6_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='272592' /><input id="hfTitle" type="hidden" value='Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-7998-8686-0' /></div></div><div id="title332242" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9798369322802.png" alt="Predicting Natural Disasters With AI and Machine Learning" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=332242&ptid=73674&t=predicting natural disasters with ai and machine learning' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl7_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Predicting Natural Disasters With AI and Machine Learning', 'https://coverimages.igi-global.com/cover-images/covers/9798369322802.png', 'Predicting Natural Disasters With AI and Machine Learning', 'True', 332242, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=332242&ptid=73674&t=predicting natural disasters with ai and machine learning" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/predicting-natural-disasters-machine-learning/332242' style="display: inline;" ><span id="titleLink" class="title"> Predicting Natural Disasters With AI and Machine Learning </span></a><div class="info" style="color: #00812b;"> D. Satishkumar, M. Sivaraja. © 2024. 340 pages. </div><div class="abstract" style="width: 100%;"> In a world where the relentless force of natural and man-made disasters threatens societies, the need for effective disaster management has never been more critical. Predicting Natural Disasters With AI and Machine Learning addresses the challenges of disasters and charts a path toward proactive... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl7_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='332242' /><input id="hfTitle" type="hidden" value='Predicting Natural Disasters With AI and Machine Learning' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/979-8-3693-2280-2' /></div></div><div id="title335090" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9798369332047.png" alt="Neutrosophic and Plithogenic Inventory Models for Applied Mathematics" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=335090&ptid=73687&t=neutrosophic and plithogenic inventory models for applied mathematics' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl8_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Neutrosophic and Plithogenic Inventory Models for Applied Mathematics', 'https://coverimages.igi-global.com/cover-images/covers/9798369332047.png', 'Neutrosophic and Plithogenic Inventory Models for Applied Mathematics', 'True', 335090, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=335090&ptid=73687&t=neutrosophic and plithogenic inventory models for applied mathematics" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/neutrosophic-plithogenic-inventory-models-applied/335090' style="display: inline;" ><span id="titleLink" class="title"> Neutrosophic and Plithogenic Inventory Models for Applied Mathematics </span></a><div class="info" style="color: #00812b;"> Florentin Smarandache, Maissam Jdid, Maikel Leyva-Vazquez. © 2025. 320 pages. </div><div class="abstract" style="width: 100%;"> As professionals navigate the evolving landscapes shaped by the advent of artificial intelligence, a critical void emerges in the optimization paradigms of applied mathematics. The dynamism of our interconnected world demands a collective research effort that transcends traditional boundaries. 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However, the traditional approaches lack common tools, which can lead to incomplete information about the weather and climate conditions, in turn... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl9_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='286801' /><input id="hfTitle" type="hidden" value='Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-6684-3981-4' /></div></div><div id="title304404" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9781668468302.png" alt="Innovations in Materials Chemistry, Physics, and Engineering Research" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=304404&ptid=73687&t=innovations in materials chemistry, physics, and engineering research' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl10_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Innovations in Materials Chemistry, Physics, and Engineering Research', 'https://coverimages.igi-global.com/cover-images/covers/9781668468302.png', 'Innovations in Materials Chemistry, Physics, and Engineering Research', 'True', 304404, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=304404&ptid=73687&t=innovations in materials chemistry, physics, and engineering research" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/innovations-materials-chemistry-physics-engineering/304404' style="display: inline;" ><span id="titleLink" class="title"> Innovations in Materials Chemistry, Physics, and Engineering Research </span></a><div class="info" style="color: #00812b;"> Eugene de Silva, Pramudi Abeydeera. © 2023. 446 pages. </div><div class="abstract" style="width: 100%;"> Innovations in Materials Chemistry, Physics, and Engineering Research is an all-encompassing book edited by Eugene de Silva, the Head of Multi-disciplinary Research in Applied Science (MRAS), and Pramudi Abeydeera, a prominent figure in polymer chemistry. 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The complexity of mathematical concepts often lies hidden beneath layers of formulas and procedures, obscuring their true essence. Traditional educational resources often fall short in conveying... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl11_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='320831' /><input id="hfTitle" type="hidden" value='Utilizing Visuals and Information Technology in Mathematics Classrooms' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-6684-9987-0' /></div></div><div id="title327284" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9798369312650.png" alt="Principles and Clinical Interventions in Social Cognition" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=327284&ptid=73682&t=principles and clinical interventions in social cognition' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl12_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Principles and Clinical Interventions in Social Cognition', 'https://coverimages.igi-global.com/cover-images/covers/9798369312650.png', 'Principles and Clinical Interventions in Social Cognition', 'True', 327284, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=327284&ptid=73682&t=principles and clinical interventions in social cognition" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/principles-clinical-interventions-social-cognition/327284' style="display: inline;" ><span id="titleLink" class="title"> Principles and Clinical Interventions in Social Cognition </span></a><div class="info" style="color: #00812b;"> K. Jayasankara Reddy. © 2024. 453 pages. </div><div class="abstract" style="width: 100%;"> There are a plethora of questions experts are asking surrounding the intersection of clinical intervention practices with social cognition. How do neuro-cognitive processes shape social understanding? What experimental methods illuminate social cognitive complexities? 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Data science, data management, and data mining are all critical components for various types of organizations, including large and small corporations, academic... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl13_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='292029' /><input id="hfTitle" type="hidden" value='Principles and Theories of Data Mining With RapidMiner' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-6684-4730-7' /></div></div><div id="title262533" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9781799873235.png" alt="Security, Data Analytics, and Energy-Aware Solutions in the IoT" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=262533&ptid=37158&t=security, data analytics, and energy-aware solutions in the iot' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl14_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Security, Data Analytics, and Energy-Aware Solutions in the IoT', 'https://coverimages.igi-global.com/cover-images/covers/9781799873235.png', 'Security, Data Analytics, and Energy-Aware Solutions in the IoT', 'True', 262533, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=262533&ptid=37158&t=security, data analytics, and energy-aware solutions in the iot" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/security-data-analytics-energy-aware/262533' style="display: inline;" ><span id="titleLink" class="title"> Security, Data Analytics, and Energy-Aware Solutions in the IoT </span></a><div class="info" style="color: #00812b;"> Xiali Hei. © 2022. 218 pages. </div><div class="abstract" style="width: 100%;"> Internet of things networks have shown promising outcomes in the provisioning of potentially critical services such as safety applications, healthcare, and manufacturing. However, there are many challenges related to the security, data analysis, and limited resources of the performed operations that... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl14_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='262533' /><input id="hfTitle" type="hidden" value='Security, Data Analytics, and Energy-Aware Solutions in the IoT' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-7998-7323-5' /></div></div><div id="title281144" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9781799897286.png" alt="Polymer-Inorganic Nanostructured Composites Based on Amorphous Silica, Layered Silicates, and Polyionenes" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=281144&ptid=73687&t=polymer-inorganic nanostructured composites based on amorphous silica, layered silicates, and polyionenes' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl15_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Polymer-Inorganic Nanostructured Composites Based on Amorphous Silica, Layered Silicates, and Polyionenes', 'https://coverimages.igi-global.com/cover-images/covers/9781799897286.png', 'Polymer-Inorganic Nanostructured Composites Based on Amorphous Silica, Layered Silicates, and Polyionenes', 'True', 281144, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=281144&ptid=73687&t=polymer-inorganic nanostructured composites based on amorphous silica, layered silicates, and polyionenes" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/polymer-inorganic-nanostructured-composites-based/281144' style="display: inline;" ><span id="titleLink" class="title"> Polymer-Inorganic Nanostructured Composites Based on Amorphous Silica, Layered Silicates, and Polyionenes </span></a><div class="info" style="color: #00812b;"> Kostyantyn M. Sukhyy, Elena A. Belyanovskaya. © 2023. 304 pages. </div><div class="abstract" style="width: 100%;"> Global trends suggest that 21st-century science and technology will be nanoscale, as traditional technologies have exhausted the potential for miniaturizing individual elements, prompting the search for alternative pathways. Nanophase materials science differs from the traditional one not only by the... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl15_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='281144' /><input id="hfTitle" type="hidden" value='Polymer-Inorganic Nanostructured Composites Based on Amorphous Silica, Layered Silicates, and Polyionenes' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-7998-9728-6' /></div></div><div id="title270396" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9781799883746.png" alt="The Classes of Higher Dimensional Polytopes in Chemical, Physical, and Biological Systems" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=270396&ptid=73687&t=the classes of higher dimensional polytopes in chemical, physical, and biological systems' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl16_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'The Classes of Higher Dimensional Polytopes in Chemical, Physical, and Biological Systems', 'https://coverimages.igi-global.com/cover-images/covers/9781799883746.png', 'The Classes of Higher Dimensional Polytopes in Chemical, Physical, and Biological Systems', 'True', 270396, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=270396&ptid=73687&t=the classes of higher dimensional polytopes in chemical, physical, and biological systems" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/classes-higher-dimensional-polytopes-chemical/270396' style="display: inline;" ><span id="titleLink" class="title"> The Classes of Higher Dimensional Polytopes in Chemical, Physical, and Biological Systems </span></a><div class="info" style="color: #00812b;"> Gennadiy Vladimirovich Zhizhin. © 2022. 366 pages. </div><div class="abstract" style="width: 100%;"> The study of the geometry of structures that arise in a variety of specific natural systems, such as chemical, physical, biological, and geological, revealed the existence of a wide range of types of polytopes of the highest dimension that were unknown in classical geometry. At the same time, new... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl16_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='270396' /><input id="hfTitle" type="hidden" value='The Classes of Higher Dimensional Polytopes in Chemical, Physical, and Biological Systems' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-7998-8374-6' /></div></div><div id="title241190" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers/thumbnails/9781799833277.png" alt="Computational Methodologies for Electrical and Electronics Engineers" class="cover-img-b" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=241190&ptid=73675&t=computational methodologies for electrical and electronics engineers' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl17_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Computational Methodologies for Electrical and Electronics Engineers', 'https://coverimages.igi-global.com/cover-images/covers/9781799833277.png', 'Computational Methodologies for Electrical and Electronics Engineers', 'True', 241190, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=241190&ptid=73675&t=computational methodologies for electrical and electronics engineers" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/computational-methodologies-electrical-electronics-engineers/241190' style="display: inline;" ><span id="titleLink" class="title"> Computational Methodologies for Electrical and Electronics Engineers </span></a><div class="info" style="color: #00812b;"> Rajiv Singh, Ashutosh Kumar Singh, Ajay Kumar Dwivedi, P. Nagabhushan. © 2021. 281 pages. </div><div class="abstract" style="width: 100%;"> Artificial intelligence has been applied to many areas of science and technology, including the power and energy sector. Renewable energy in particular has experienced the tremendous positive impact of these developments. With the recent evolution of smart energy technologies, engineers and scientists... </div><div class="cp-text-grey" style="width: 100%; font-size: 11px;"> Reference Book </div><div style="display: none; width: 75px;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl17_spanTooltipText2" class="tooltiptext">High Relevancy</span></div></div></div></div></div><input id="hfContentTypeId" type="hidden" value='1' /><input id="hfTitleId" type="hidden" value='241190' /><input id="hfTitle" type="hidden" value='Computational Methodologies for Electrical and Electronics Engineers' /><input id="hfSubtitle" type="hidden" value='' /><input id="hfParentTitleId" type="hidden" value='0' /><input id="hfParentTitle" type="hidden" value='' /><input id="hfParentSubtitle" type="hidden" value='' /><input id="hfIsxn1" type="hidden" value='' /><input id="hfIsxn2" type="hidden" value='' /><input id="hfDoi" type="hidden" value='10.4018/978-1-7998-3327-7' /></div></div><div id="title276507" class="searchresults-item"><div class="list-item lnkarea list-item-link" style="width: 100%;"><div class="inner" style="padding-bottom: 10px;"><div class="row"><div class="col-xs-12 col-sm-3 col-md-2 margin-bottom-5-xs" style="max-width: 105px;"><img src="https://coverimages.igi-global.com/cover-images/covers3d/thumbnails/9781799892205.png" alt="Encyclopedia of Data Science and Machine Learning" class="cover-img" style=""><div class="content-type width-100" style="display: none;"><div class="preview-alt width-100-important"><div class="bg hide"></div><a id="samplePdfNoClick" href='/viewtitlesample.aspx?id=276507&ptid=37154&t=encyclopedia of data science and machine learning' target="_blank" class="sample" style="display: inline-block;" > Sample PDF </a><span id="oaLink" class="cp-text-white cp-oa-publishing-bg-blue hide" > OPEN ACCESS </span></div></div><div style="display: inline-block;"><div class="width-100 margin-top-5 margin-left-2"> Relevancy </div><div class="tooltip-meter width-100"><meter class="search-meter search-meter-margins" max="3" min="-0.1" value="5" high="5" low="1.5" optimum="2.75"></meter><span id="ctl00_ctl00_cphMain_cphSection_lstSearchResults_ctrl18_spanTooltipText" class="tooltiptext">High Relevancy</span></div></div></div><div class="col-xs-12 col-sm-9 col-md-10"><div style="display: none; float: right;"><div class="list-item-title-price-box"> Download This Chapter <img src="https://coverimages.igi-global.com/images/ondemand_logos_final_fc.png" alt="OnDemand" class="max-width-100" style="width: 92px; margin: 5px 0;" ><div class="overview-price">$37.50</div><span id="lnkAddToCart210098NoClick" class="btn-grn-rnd btn-grn-rnd-list button-style" onclick="AddShoppingCartSessionItemOnDemandDynamic(0, 'Instant Access Upon Order Completion', null, 1, 'Encyclopedia of Data Science and Machine Learning', 'https://coverimages.igi-global.com/cover-images/covers/9781799892205.png', 'Encyclopedia of Data Science and Machine Learning', 'True', 276507, 1);"> Add to Cart </span></div><a id="sampleNoClick" href="/viewtitlesample.aspx?id=276507&ptid=37154&t=encyclopedia of data science and machine learning" target="_blank" class="btn-orn-rnd-list button-style font-size-14" > Preview Chapter </a></div><div class="font-size-14 margin-bottom-5" style="display: none;"><b>Reference Book</b></div><a id="Link" href='/book/encyclopedia-data-science-machine-learning/276507' style="display: inline;" ><span id="titleLink" class="title"> Encyclopedia of Data Science and Machine Learning </span></a><div class="info" style="color: #00812b;"> John Wang. © 2023. 3143 pages. </div><div class="abstract" style="width: 100%;"> Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. 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Cecil Donald, A. Dalvin Vinoth Kumar. © 2021. 310 pages. </div><div class="abstract" style="width: 100%;"> Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. 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Semali. © 2022. 303 pages. </div><div class="abstract" style="width: 100%;"> Globally, poverty affects millions of people’s lives each day. Children are hungry, many lack the means to receive an education, and many are needlessly ill. It is a common scene to see an impoverished town surrounded by trash and polluted air. 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