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value="businesses" > Businesses </option> <option value="carbon" > C </option> <option value="cancers" > Cancers </option> <option value="cardiogenetics" > Cardiogenetics </option> <option value="catalysts" > Catalysts </option> <option value="cells" > Cells </option> <option value="ceramics" > Ceramics </option> <option value="challenges" > Challenges </option> <option value="ChemEngineering" > ChemEngineering </option> <option value="chemistry" > Chemistry </option> <option value="chemproc" > Chemistry Proceedings </option> <option value="chemosensors" > Chemosensors </option> <option value="children" > Children </option> <option value="chips" > Chips </option> <option value="civileng" > CivilEng </option> <option value="cleantechnol" > Clean Technologies (Clean Technol.) </option> <option value="climate" > Climate </option> <option value="ctn" > Clinical and Translational Neuroscience (CTN) </option> <option value="clinbioenerg" > Clinical Bioenergetics </option> <option value="clinpract" > Clinics and Practice </option> <option value="clockssleep" > Clocks & Sleep </option> <option value="coasts" > Coasts </option> <option value="coatings" > Coatings </option> <option value="colloids" > Colloids and Interfaces </option> <option value="colorants" > Colorants </option> <option value="commodities" > Commodities </option> <option value="complications" > Complications </option> <option value="compounds" > Compounds </option> <option value="computation" > Computation </option> <option value="csmf" > Computer Sciences & Mathematics Forum </option> <option value="computers" > Computers </option> <option value="condensedmatter" > Condensed Matter </option> <option value="conservation" > Conservation </option> <option value="constrmater" > Construction Materials </option> <option value="cmd" > Corrosion and Materials Degradation (CMD) </option> <option value="cosmetics" > Cosmetics </option> <option value="covid" > COVID </option> <option value="crops" > Crops </option> <option value="cryo" > Cryo </option> <option value="cryptography" > Cryptography </option> <option value="crystals" > Crystals </option> <option value="cimb" > Current Issues in Molecular Biology (CIMB) </option> <option value="curroncol" > Current Oncology </option> <option value="dairy" > Dairy </option> <option value="data" > Data </option> <option value="dentistry" > Dentistry Journal </option> <option value="dermato" > Dermato </option> <option value="dermatopathology" > Dermatopathology </option> <option value="designs" > Designs </option> <option value="diabetology" > Diabetology </option> <option value="diagnostics" > Diagnostics </option> <option value="dietetics" > Dietetics </option> <option value="digital" > Digital </option> <option value="disabilities" > Disabilities </option> <option value="diseases" > Diseases </option> <option value="diversity" > Diversity </option> <option value="dna" > DNA </option> <option value="drones" > Drones </option> <option value="ddc" > Drugs and Drug Candidates (DDC) </option> <option value="dynamics" > Dynamics </option> <option value="earth" > Earth </option> <option value="ecologies" > Ecologies </option> <option value="econometrics" > Econometrics </option> <option value="economies" > Economies </option> <option value="education" > Education Sciences </option> <option value="electricity" > Electricity </option> <option value="electrochem" > Electrochem </option> <option value="electronicmat" > Electronic Materials </option> <option value="electronics" > Electronics </option> <option value="ecm" > Emergency Care and Medicine </option> <option value="encyclopedia" > Encyclopedia </option> <option value="endocrines" > Endocrines </option> <option value="energies" > Energies </option> <option value="esa" > Energy Storage and Applications (ESA) </option> <option value="eng" > Eng </option> <option value="engproc" > Engineering Proceedings </option> <option value="entropy" > Entropy </option> <option value="environsciproc" > Environmental Sciences Proceedings </option> <option value="environments" > Environments </option> <option value="epidemiologia" > Epidemiologia </option> <option value="epigenomes" > Epigenomes </option> <option value="ebj" > European Burn Journal (EBJ) </option> <option value="ejihpe" > European Journal of Investigation in Health, Psychology and Education (EJIHPE) </option> <option value="fermentation" > Fermentation </option> <option value="fibers" > Fibers </option> <option value="fintech" > FinTech </option> <option value="fire" > Fire </option> <option value="fishes" > Fishes </option> <option value="fluids" > Fluids </option> <option value="foods" > Foods </option> <option value="forecasting" > Forecasting </option> <option value="forensicsci" > Forensic Sciences </option> <option value="forests" > Forests </option> <option value="fossstud" > Fossil Studies </option> <option value="foundations" > Foundations </option> <option value="fractalfract" > Fractal and Fractional (Fractal Fract) </option> <option value="fuels" > Fuels </option> <option value="future" > Future </option> <option value="futureinternet" > Future Internet </option> <option value="futurepharmacol" > Future Pharmacology </option> <option value="futuretransp" > Future Transportation </option> <option value="galaxies" > Galaxies </option> <option value="games" > Games </option> <option value="gases" > Gases </option> <option value="gastroent" > Gastroenterology Insights </option> <option value="gastrointestdisord" > Gastrointestinal Disorders </option> <option value="gastronomy" > Gastronomy </option> <option value="gels" > Gels </option> <option value="genealogy" > Genealogy </option> <option value="genes" > Genes </option> <option value="geographies" > Geographies </option> <option value="geohazards" > GeoHazards </option> <option value="geomatics" > Geomatics </option> <option value="geometry" > Geometry </option> <option value="geosciences" > Geosciences </option> <option value="geotechnics" > Geotechnics </option> <option value="geriatrics" > Geriatrics </option> <option value="glacies" > Glacies </option> <option value="gucdd" > Gout, Urate, and Crystal Deposition Disease (GUCDD) </option> <option value="grasses" > Grasses </option> <option value="hardware" > Hardware </option> <option value="healthcare" > Healthcare </option> <option value="hearts" > Hearts </option> <option value="hemato" > Hemato </option> <option value="hematolrep" > Hematology Reports </option> <option value="heritage" > Heritage </option> <option value="histories" > Histories </option> <option value="horticulturae" > Horticulturae </option> <option value="hospitals" > Hospitals </option> <option value="humanities" > Humanities </option> <option value="humans" > Humans </option> <option value="hydrobiology" > Hydrobiology </option> <option value="hydrogen" > Hydrogen </option> <option value="hydrology" > Hydrology </option> <option value="hygiene" > Hygiene </option> <option value="immuno" > Immuno </option> <option value="idr" > Infectious Disease Reports </option> <option value="informatics" > Informatics </option> <option value="information" > Information </option> <option value="infrastructures" > Infrastructures </option> <option value="inorganics" > Inorganics </option> <option value="insects" > Insects </option> <option value="instruments" > Instruments </option> <option value="iic" > Intelligent Infrastructure and Construction </option> <option value="ijerph" > International Journal of Environmental Research and Public Health (IJERPH) </option> <option value="ijfs" > International Journal of Financial Studies (IJFS) </option> <option value="ijms" > International Journal of Molecular Sciences (IJMS) </option> <option value="IJNS" > International Journal of Neonatal Screening (IJNS) </option> <option value="ijpb" > International Journal of Plant Biology (IJPB) </option> <option value="ijt" > International Journal of Topology </option> <option value="ijtm" > International Journal of Translational Medicine (IJTM) </option> <option value="ijtpp" > International Journal of Turbomachinery, Propulsion and Power (IJTPP) </option> <option value="ime" > International Medical Education (IME) </option> <option value="inventions" > Inventions </option> <option value="IoT" > IoT </option> <option value="ijgi" > ISPRS International Journal of Geo-Information (IJGI) </option> <option value="J" > J </option> <option value="jal" > Journal of Ageing and Longevity (JAL) </option> <option value="jcdd" > Journal of Cardiovascular Development and Disease (JCDD) </option> <option value="jcto" > Journal of Clinical & Translational Ophthalmology (JCTO) </option> <option value="jcm" > Journal of Clinical Medicine (JCM) </option> <option value="jcs" > Journal of Composites Science (J. Compos. Sci.) </option> <option value="jcp" > Journal of Cybersecurity and Privacy (JCP) </option> <option value="jdad" > Journal of Dementia and Alzheimer's Disease (JDAD) </option> <option value="jdb" > Journal of Developmental Biology (JDB) </option> <option value="jeta" > Journal of Experimental and Theoretical Analyses (JETA) </option> <option value="jfb" > Journal of Functional Biomaterials (JFB) </option> <option value="jfmk" > Journal of Functional Morphology and Kinesiology (JFMK) </option> <option value="jof" > Journal of Fungi (JoF) </option> <option value="jimaging" > Journal of Imaging (J. Imaging) </option> <option value="jintelligence" > Journal of Intelligence (J. Intell.) </option> <option value="jlpea" > Journal of Low Power Electronics and Applications (JLPEA) </option> <option value="jmmp" > Journal of Manufacturing and Materials Processing (JMMP) </option> <option value="jmse" > Journal of Marine Science and Engineering (JMSE) </option> <option value="jmahp" > Journal of Market Access & Health Policy (JMAHP) </option> <option value="jmp" > Journal of Molecular Pathology (JMP) </option> <option value="jnt" > Journal of Nanotheranostics (JNT) </option> <option value="jne" > Journal of Nuclear Engineering (JNE) </option> <option value="ohbm" > Journal of Otorhinolaryngology, Hearing and Balance Medicine (JOHBM) </option> <option value="jop" > Journal of Parks </option> <option value="jpm" > Journal of Personalized Medicine (JPM) </option> <option value="jpbi" > Journal of Pharmaceutical and BioTech Industry (JPBI) </option> <option value="jor" > Journal of Respiration (JoR) </option> <option value="jrfm" > Journal of Risk and Financial Management (JRFM) </option> <option value="jsan" > Journal of Sensor and Actuator Networks (JSAN) </option> <option value="joma" > Journal of the Oman Medical Association (JOMA) </option> <option value="jtaer" > Journal of Theoretical and Applied Electronic Commerce Research (JTAER) </option> <option value="jvd" > Journal of Vascular Diseases (JVD) </option> <option value="jox" > Journal of Xenobiotics (JoX) </option> <option value="jzbg" > Journal of Zoological and Botanical Gardens (JZBG) </option> <option value="journalmedia" > Journalism and Media </option> <option value="kidneydial" > Kidney and Dialysis </option> <option value="kinasesphosphatases" > Kinases and Phosphatases </option> <option value="knowledge" > Knowledge </option> <option value="labmed" > LabMed </option> <option value="laboratories" > Laboratories </option> <option value="land" > Land </option> <option value="languages" > Languages </option> <option value="laws" > Laws </option> <option value="life" > Life 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class="custom-accordion-for-small-screen-link " > <h2>Saved Queries</h2> </div> <div class="target-item custom-accordion-for-small-screen-content show-for-medium-up"> <div class="generic-item refind-item-wrap no-border last-item no-padding-top"> <a class="bold" href="/user/login">Sign in</a> to use this feature. </div> </div> </div> <div class="content__container " > <div class="custom-accordion-for-small-screen-link " data-callback=processResetAllVisibility> <h2> Search Filter <a href="#" class="remove-refines remove-refines-all link--red right">Reset All</a> </h2> </div> <div class="target-item custom-accordion-for-small-screen-content show-for-medium-up"> <div class="generic-item refind-item-wrap no-border no-padding-top"> <h3>Years</h3> <span>Between:</span> <input type="number" id="refine_year_from" style="display: inline-block; font-size: 12px;" name="year_from" value="1996" min="1996" max="2024"> - <input type="number" id="refine_year_to" style="display: inline-block; font-size: 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data-filterid="refine_subjects_engineering"> <i class="material-icons">remove_circle_outline</i> </a> <label> Engineering </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_chem-materials"> <i class="material-icons">remove_circle_outline</i> </a> <label> Chemistry & Materials Science </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_environment"> <i class="material-icons">remove_circle_outline</i> </a> <label> Environmental & Earth Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_physics-astronomy"> <i class="material-icons">remove_circle_outline</i> </a> <label> Physical Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_bio-life"> <i class="material-icons">remove_circle_outline</i> </a> <label> Biology & Life Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_computer-math"> <i class="material-icons">remove_circle_outline</i> </a> <label> Computer Science & Mathematics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_health"> <i class="material-icons">remove_circle_outline</i> </a> <label> Public Health & Healthcare </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_med-pharma"> <i class="material-icons">remove_circle_outline</i> </a> <label> Medicine & Pharmacology </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_business-econ"> <i class="material-icons">remove_circle_outline</i> </a> <label> Business & Economics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_subjects_arts-humanity"> <i class="material-icons">remove_circle_outline</i> </a> <label> Social Sciences, Arts and Humanities </label> </div/> </div> <div class="filter-actions-container filter-actions-container--filled filter-actions-container--hidden"> <a class="js-refine-filter" data-reveal-id="refine-modal-subjects" data-filter="subjects"><strong>Add Subjects</strong></a> <a href="#" class="remove-refines link--red right" data-refineid="subjects"><strong>Reset</strong></a> </div> <div class="filter-actions-container filter-actions-container--empty "> <a class="button button--color button--full-width js-refine-filter" href="#" data-reveal-id="refine-modal-subjects" data-filter="subjects" class="all">Select Subjects</a> </div> <div style="clear:both;"></div> <div id="refine-modal-subjects" class="reveal-modal reveal-modal-new" data-reveal aria-labelledby="modalTitle" aria-hidden="true" role="dialog"> <div class="row"> <div class="small-12 columns"> <h2>Filter Subjects</h2> <input class="js-filter" type="text" form="temp" placeholder="Search for Subjects" style="width: 100%; max-width: 300px;" /> <p class="reveal-modal-new__description"> Select subjects you want to add to your filter. </p> </div> <div class="js-refinement-values-container"> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="engineering" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox 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class="search_refine_label" style="margin-bottom: 10px;" for="refine_subjects_environment">Environmental & Earth Sciences (2393)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="physical sciences" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_subjects" id="refine_subjects_physics-astronomy" value="physics-astronomy"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_subjects_physics-astronomy">Physical Sciences (1633)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="biology & life sciences" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_subjects" id="refine_subjects_bio-life" value="bio-life"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_subjects_bio-life">Biology & Life Sciences (1515)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="computer science & mathematics" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_subjects" id="refine_subjects_computer-math" value="computer-math"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_subjects_computer-math">Computer Science & Mathematics (1480)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="public health & healthcare" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_subjects" id="refine_subjects_health" value="health"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_subjects_health">Public Health & Healthcare (741)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="medicine & pharmacology" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_subjects" id="refine_subjects_med-pharma" value="med-pharma"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_subjects_med-pharma">Medicine & Pharmacology (733)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="business & economics" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_subjects" id="refine_subjects_business-econ" value="business-econ"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_subjects_business-econ">Business & Economics (417)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="social sciences, arts and humanities" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_subjects" id="refine_subjects_arts-humanity" value="arts-humanity"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_subjects_arts-humanity">Social Sciences, Arts and Humanities (395)</label> </div> </div> </div> </div> <div class="row"> <div class="small-12 columns"> <a class="button button--color js-filter-close" data-itemid="subjects" onclick="$('#refine-modal-subjects').foundation('reveal', 'close'); return false;">Add to Filter</a> <a class="button button--grey" onclick="$(this).closest('.reveal-modal').find('.close-reveal-modal').click(); return false;">Cancel</a> </div> </div> <input type="hidden" name="subjects" id="refine_subjects_field"> <a class="close-reveal-modal" aria-label="Close"> <i class="material-icons">clear</i> </a> </div></div> <div class="generic-item refind-item-wrap filter-container filter-container-journals" style=""> <h3>Journals</h3> <div class="js-refinement-selections-container"> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_applsci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Applied Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_energies"> <i class="material-icons">remove_circle_outline</i> </a> <label> Energies </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_sensors"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sensors </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_materials"> <i class="material-icons">remove_circle_outline</i> </a> <label> Materials </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_sustainability"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sustainability </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_water"> <i class="material-icons">remove_circle_outline</i> </a> <label> Water </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_mathematics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Mathematics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_molecules"> <i class="material-icons">remove_circle_outline</i> </a> <label> Molecules </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_buildings"> <i class="material-icons">remove_circle_outline</i> </a> <label> Buildings </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_polymers"> <i class="material-icons">remove_circle_outline</i> </a> <label> Polymers </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_processes"> <i class="material-icons">remove_circle_outline</i> </a> <label> Processes </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_electronics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Electronics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ijms"> <i class="material-icons">remove_circle_outline</i> </a> <label> IJMS </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_remotesensing"> <i class="material-icons">remove_circle_outline</i> </a> <label> Remote Sensing </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_metals"> <i class="material-icons">remove_circle_outline</i> </a> <label> Metals </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_symmetry"> <i class="material-icons">remove_circle_outline</i> </a> <label> Symmetry </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ijerph"> <i class="material-icons">remove_circle_outline</i> </a> <label> IJERPH </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jmse"> <i class="material-icons">remove_circle_outline</i> </a> <label> JMSE </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_entropy"> <i class="material-icons">remove_circle_outline</i> </a> <label> Entropy </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_micromachines"> <i class="material-icons">remove_circle_outline</i> </a> <label> Micromachines </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_foods"> <i class="material-icons">remove_circle_outline</i> </a> <label> Foods </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_cancers"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cancers </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_diagnostics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Diagnostics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_machines"> <i class="material-icons">remove_circle_outline</i> </a> <label> Machines </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_nanomaterials"> <i class="material-icons">remove_circle_outline</i> </a> <label> Nanomaterials </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_aerospace"> <i class="material-icons">remove_circle_outline</i> </a> <label> Aerospace </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_fluids"> <i class="material-icons">remove_circle_outline</i> </a> <label> Fluids </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jcm"> <i class="material-icons">remove_circle_outline</i> </a> <label> JCM </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_agronomy"> <i class="material-icons">remove_circle_outline</i> </a> <label> Agronomy </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_atmosphere"> <i class="material-icons">remove_circle_outline</i> </a> <label> Atmosphere </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ijgi"> <i class="material-icons">remove_circle_outline</i> </a> <label> IJGI </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_pharmaceutics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Pharmaceutics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_metabolites"> <i class="material-icons">remove_circle_outline</i> </a> <label> Metabolites </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jmmp"> <i class="material-icons">remove_circle_outline</i> </a> <label> JMMP </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jpm"> <i class="material-icons">remove_circle_outline</i> </a> <label> JPM </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_engproc"> <i class="material-icons">remove_circle_outline</i> </a> <label> Engineering Proceedings </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_information"> <i class="material-icons">remove_circle_outline</i> </a> <label> Information </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_forests"> <i class="material-icons">remove_circle_outline</i> </a> <label> Forests </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_geosciences"> <i class="material-icons">remove_circle_outline</i> </a> <label> Geosciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_crystals"> <i class="material-icons">remove_circle_outline</i> </a> <label> Crystals </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_minerals"> <i class="material-icons">remove_circle_outline</i> </a> <label> Minerals </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_actuators"> <i class="material-icons">remove_circle_outline</i> </a> <label> Actuators </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_healthcare"> <i class="material-icons">remove_circle_outline</i> </a> <label> Healthcare </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_land"> <i class="material-icons">remove_circle_outline</i> </a> <label> Land </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_chemosensors"> <i class="material-icons">remove_circle_outline</i> </a> <label> Chemosensors </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_lubricants"> <i class="material-icons">remove_circle_outline</i> </a> <label> Lubricants </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_algorithms"> <i class="material-icons">remove_circle_outline</i> </a> <label> Algorithms </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jcs"> <i class="material-icons">remove_circle_outline</i> </a> <label> J. Compos. Sci. </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_BDCC"> <i class="material-icons">remove_circle_outline</i> </a> <label> BDCC </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_education"> <i class="material-icons">remove_circle_outline</i> </a> <label> Education Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_agriculture"> <i class="material-icons">remove_circle_outline</i> </a> <label> Agriculture </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_futureinternet"> <i class="material-icons">remove_circle_outline</i> </a> <label> Future Internet </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_bioengineering"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bioengineering </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_nutrients"> <i class="material-icons">remove_circle_outline</i> </a> <label> Nutrients </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_genes"> <i class="material-icons">remove_circle_outline</i> </a> <label> Genes </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_coatings"> <i class="material-icons">remove_circle_outline</i> </a> <label> Coatings </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_photonics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Photonics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_membranes"> <i class="material-icons">remove_circle_outline</i> </a> <label> Membranes </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_proceedings"> <i class="material-icons">remove_circle_outline</i> </a> <label> Proceedings </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_fibers"> <i class="material-icons">remove_circle_outline</i> </a> <label> Fibers </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_universe"> <i class="material-icons">remove_circle_outline</i> </a> <label> Universe </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_biomedicines"> <i class="material-icons">remove_circle_outline</i> </a> <label> Biomedicines </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_separations"> <i class="material-icons">remove_circle_outline</i> </a> <label> Separations </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_forecasting"> <i class="material-icons">remove_circle_outline</i> </a> <label> Forecasting </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_wevj"> <i class="material-icons">remove_circle_outline</i> </a> <label> WEVJ </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_computers"> <i class="material-icons">remove_circle_outline</i> </a> <label> Computers </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_systems"> <i class="material-icons">remove_circle_outline</i> </a> <label> Systems </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jrfm"> <i class="material-icons">remove_circle_outline</i> </a> <label> JRFM </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_IJNS"> <i class="material-icons">remove_circle_outline</i> </a> <label> IJNS </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_mca"> <i class="material-icons">remove_circle_outline</i> </a> <label> MCA </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_axioms"> <i class="material-icons">remove_circle_outline</i> </a> <label> Axioms </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_data"> <i class="material-icons">remove_circle_outline</i> </a> <label> Data </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_infrastructures"> <i class="material-icons">remove_circle_outline</i> </a> <label> Infrastructures </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_vibration"> <i class="material-icons">remove_circle_outline</i> </a> <label> Vibration </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_brainsci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Brain Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jintelligence"> <i class="material-icons">remove_circle_outline</i> </a> <label> J. Intell. </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_toxics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Toxics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_pharmaceuticals"> <i class="material-icons">remove_circle_outline</i> </a> <label> Pharmaceuticals </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_toxins"> <i class="material-icons">remove_circle_outline</i> </a> <label> Toxins </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_galaxies"> <i class="material-icons">remove_circle_outline</i> </a> <label> Galaxies </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_animals"> <i class="material-icons">remove_circle_outline</i> </a> <label> Animals </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_biosensors"> <i class="material-icons">remove_circle_outline</i> </a> <label> Biosensors </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_plants"> <i class="material-icons">remove_circle_outline</i> </a> <label> Plants </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_risks"> <i class="material-icons">remove_circle_outline</i> </a> <label> Risks </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_acoustics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Acoustics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_medicina"> <i class="material-icons">remove_circle_outline</i> </a> <label> Medicina </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_life"> <i class="material-icons">remove_circle_outline</i> </a> <label> Life </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_biomolecules"> <i class="material-icons">remove_circle_outline</i> </a> <label> Biomolecules </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ijtpp"> <i class="material-icons">remove_circle_outline</i> </a> <label> IJTPP </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_fractalfract"> <i class="material-icons">remove_circle_outline</i> </a> <label> Fractal Fract </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_informatics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Informatics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_designs"> <i class="material-icons">remove_circle_outline</i> </a> <label> Designs </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_asi"> <i class="material-icons">remove_circle_outline</i> </a> <label> ASI </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ai"> <i class="material-icons">remove_circle_outline</i> </a> <label> AI </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_eng"> <i class="material-icons">remove_circle_outline</i> </a> <label> Eng </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_microorganisms"> <i class="material-icons">remove_circle_outline</i> </a> <label> Microorganisms </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_antioxidants"> <i class="material-icons">remove_circle_outline</i> </a> <label> Antioxidants </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_computation"> <i class="material-icons">remove_circle_outline</i> </a> <label> Computation </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_physics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Physics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_viruses"> <i class="material-icons">remove_circle_outline</i> </a> <label> Viruses </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_vaccines"> <i class="material-icons">remove_circle_outline</i> </a> <label> Vaccines </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_stats"> <i class="material-icons">remove_circle_outline</i> </a> <label> Stats </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_applmech"> <i class="material-icons">remove_circle_outline</i> </a> <label> Applied Mechanics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_geotechnics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Geotechnics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_cells"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cells </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_insects"> <i class="material-icons">remove_circle_outline</i> </a> <label> Insects </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_pathogens"> <i class="material-icons">remove_circle_outline</i> </a> <label> Pathogens </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_admsci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Administrative Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_technologies"> <i class="material-icons">remove_circle_outline</i> </a> <label> Technologies </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_logistics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Logistics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_beverages"> <i class="material-icons">remove_circle_outline</i> </a> <label> Beverages </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_fermentation"> <i class="material-icons">remove_circle_outline</i> </a> <label> Fermentation </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_biomimetics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Biomimetics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_civileng"> <i class="material-icons">remove_circle_outline</i> </a> <label> CivilEng </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_smartcities"> <i class="material-icons">remove_circle_outline</i> </a> <label> Smart Cities </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_thermo"> <i class="material-icons">remove_circle_outline</i> </a> <label> Thermo </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_biomedinformatics"> <i class="material-icons">remove_circle_outline</i> </a> <label> BioMedInformatics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_mining"> <i class="material-icons">remove_circle_outline</i> </a> <label> Mining </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_covid"> <i class="material-icons">remove_circle_outline</i> </a> <label> COVID </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_sports"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sports </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_behavsci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Behavioral Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_biology"> <i class="material-icons">remove_circle_outline</i> </a> <label> Biology </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_hydrology"> <i class="material-icons">remove_circle_outline</i> </a> <label> Hydrology </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jof"> <i class="material-icons">remove_circle_outline</i> </a> <label> JoF </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_batteries"> <i class="material-icons">remove_circle_outline</i> </a> <label> Batteries </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_condensedmatter"> <i class="material-icons">remove_circle_outline</i> </a> <label> Condensed Matter </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_urbansci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Urban Science </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_make"> <i class="material-icons">remove_circle_outline</i> </a> <label> MAKE </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_modelling"> <i class="material-icons">remove_circle_outline</i> </a> <label> Modelling </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_fire"> <i class="material-icons">remove_circle_outline</i> </a> <label> Fire </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_environsciproc"> <i class="material-icons">remove_circle_outline</i> </a> <label> Environmental Sciences Proceedings </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_socsci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Social Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_religions"> <i class="material-icons">remove_circle_outline</i> </a> <label> Religions </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jsan"> <i class="material-icons">remove_circle_outline</i> </a> <label> JSAN </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_climate"> <i class="material-icons">remove_circle_outline</i> </a> <label> Climate </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ijfs"> <i class="material-icons">remove_circle_outline</i> </a> <label> IJFS </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_children"> <i class="material-icons">remove_circle_outline</i> </a> <label> Children </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_vetsci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Veterinary Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_inventions"> <i class="material-icons">remove_circle_outline</i> </a> <label> Inventions </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_plasma"> <i class="material-icons">remove_circle_outline</i> </a> <label> Plasma </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_telecom"> <i class="material-icons">remove_circle_outline</i> </a> <label> Telecom </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_electrochem"> <i class="material-icons">remove_circle_outline</i> </a> <label> Electrochem </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_agriengineering"> <i class="material-icons">remove_circle_outline</i> </a> <label> AgriEngineering </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ejihpe"> <i class="material-icons">remove_circle_outline</i> </a> <label> EJIHPE </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_chemproc"> <i class="material-icons">remove_circle_outline</i> </a> <label> Chemistry Proceedings </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jtaer"> <i class="material-icons">remove_circle_outline</i> </a> <label> JTAER </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_curroncol"> <i class="material-icons">remove_circle_outline</i> </a> <label> Current Oncology </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_cimb"> <i class="material-icons">remove_circle_outline</i> </a> <label> CIMB </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_analytics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Analytics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_marinedrugs"> <i class="material-icons">remove_circle_outline</i> </a> <label> Marine Drugs </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_diversity"> <i class="material-icons">remove_circle_outline</i> </a> <label> Diversity </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_catalysts"> <i class="material-icons">remove_circle_outline</i> </a> <label> Catalysts </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_societies"> <i class="material-icons">remove_circle_outline</i> </a> <label> Societies </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_arts"> <i class="material-icons">remove_circle_outline</i> </a> <label> Arts </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_environments"> <i class="material-icons">remove_circle_outline</i> </a> <label> Environments </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_antibiotics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Antibiotics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_atoms"> <i class="material-icons">remove_circle_outline</i> </a> <label> Atoms </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_robotics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Robotics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_languages"> <i class="material-icons">remove_circle_outline</i> </a> <label> Languages </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_economies"> <i class="material-icons">remove_circle_outline</i> </a> <label> Economies </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_proteomes"> <i class="material-icons">remove_circle_outline</i> </a> <label> Proteomes </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_gels"> <i class="material-icons">remove_circle_outline</i> </a> <label> Gels </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_horticulturae"> <i class="material-icons">remove_circle_outline</i> </a> <label> Horticulturae </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_magnetochemistry"> <i class="material-icons">remove_circle_outline</i> </a> <label> Magnetochemistry </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jimaging"> <i class="material-icons">remove_circle_outline</i> </a> <label> J. Imaging </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_safety"> <i class="material-icons">remove_circle_outline</i> </a> <label> Safety </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_mps"> <i class="material-icons">remove_circle_outline</i> </a> <label> MPs </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_instruments"> <i class="material-icons">remove_circle_outline</i> </a> <label> Instruments </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_mti"> <i class="material-icons">remove_circle_outline</i> </a> <label> MTI </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_tropicalmed"> <i class="material-icons">remove_circle_outline</i> </a> <label> TropicalMed </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_scipharm"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sci. Pharm. </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_colloids"> <i class="material-icons">remove_circle_outline</i> </a> <label> Colloids and Interfaces </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_particles"> <i class="material-icons">remove_circle_outline</i> </a> <label> Particles </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_dairy"> <i class="material-icons">remove_circle_outline</i> </a> <label> Dairy </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_IoT"> <i class="material-icons">remove_circle_outline</i> </a> <label> IoT </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_fuels"> <i class="material-icons">remove_circle_outline</i> </a> <label> Fuels </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_micro"> <i class="material-icons">remove_circle_outline</i> </a> <label> Micro </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_forensicsci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Forensic Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_hemato"> <i class="material-icons">remove_circle_outline</i> </a> <label> Hemato </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_onco"> <i class="material-icons">remove_circle_outline</i> </a> <label> Onco </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_tomography"> <i class="material-icons">remove_circle_outline</i> </a> <label> Tomography </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_foundations"> <i class="material-icons">remove_circle_outline</i> </a> <label> Foundations </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_wind"> <i class="material-icons">remove_circle_outline</i> </a> <label> Wind </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_blsf"> <i class="material-icons">remove_circle_outline</i> </a> <label> Biology and Life Sciences Forum </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_molbank"> <i class="material-icons">remove_circle_outline</i> </a> <label> Molbank </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_games"> <i class="material-icons">remove_circle_outline</i> </a> <label> Games </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_laws"> <i class="material-icons">remove_circle_outline</i> </a> <label> Laws </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_medsci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Medical Sciences </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_challenges"> <i class="material-icons">remove_circle_outline</i> </a> <label> Challenges </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_resources"> <i class="material-icons">remove_circle_outline</i> </a> <label> Resources </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_cosmetics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cosmetics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_diseases"> <i class="material-icons">remove_circle_outline</i> </a> <label> Diseases </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ChemEngineering"> <i class="material-icons">remove_circle_outline</i> </a> <label> ChemEngineering </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_inorganics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Inorganics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ncrna"> <i class="material-icons">remove_circle_outline</i> </a> <label> ncRNA </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_recycling"> <i class="material-icons">remove_circle_outline</i> </a> <label> Recycling </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_philosophies"> <i class="material-icons">remove_circle_outline</i> </a> <label> Philosophies </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jfmk"> <i class="material-icons">remove_circle_outline</i> </a> <label> JFMK </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_ceramics"> <i class="material-icons">remove_circle_outline</i> </a> <label> Ceramics </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_sci"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sci </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_drones"> <i class="material-icons">remove_circle_outline</i> </a> <label> Drones </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_analytica"> <i class="material-icons">remove_circle_outline</i> </a> <label> Analytica </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_vehicles"> <i class="material-icons">remove_circle_outline</i> </a> <label> Vehicles </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_heritage"> <i class="material-icons">remove_circle_outline</i> </a> <label> Heritage </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_automation"> <i class="material-icons">remove_circle_outline</i> </a> <label> Automation </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_seeds"> <i class="material-icons">remove_circle_outline</i> </a> <label> Seeds </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_soilsystems"> <i class="material-icons">remove_circle_outline</i> </a> <label> Soil Systems </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_geohazards"> <i class="material-icons">remove_circle_outline</i> </a> <label> GeoHazards </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_chemistry"> <i class="material-icons">remove_circle_outline</i> </a> <label> Chemistry </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_transplantology"> <i class="material-icons">remove_circle_outline</i> </a> <label> Transplantology </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_quantumrep"> <i class="material-icons">remove_circle_outline</i> </a> <label> Quantum Reports </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_endocrines"> <i class="material-icons">remove_circle_outline</i> </a> <label> Endocrines </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_epidemiologia"> <i class="material-icons">remove_circle_outline</i> </a> <label> Epidemiologia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_applnano"> <i class="material-icons">remove_circle_outline</i> </a> <label> Applied Nano </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_jne"> <i class="material-icons">remove_circle_outline</i> </a> <label> JNE </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_materproc"> <i class="material-icons">remove_circle_outline</i> </a> <label> Materials Proceedings </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_journals_geographies"> <i class="material-icons">remove_circle_outline</i> </a> <label> Geographies </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" 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for="refine_article_types_commentary">Commentary (6)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="brief report" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_brief-report" value="brief-report"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_brief-report">Brief Report (6)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="technical note" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_technical-note" value="technical-note"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_technical-note">Technical Note (6)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="letter" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_letter" value="letter"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_letter">Letter (5)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="data descriptor" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_data-descriptor" value="data-descriptor"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_data-descriptor">Data Descriptor (5)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="study protocol" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_study-protocol" value="study-protocol"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_study-protocol">Study Protocol (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="case report" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_case-report" value="case-report"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_case-report">Case Report (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="opinion" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_opinion" value="opinion"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_opinion">Opinion (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="tutorial" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_tutorial" value="tutorial"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_tutorial">Tutorial (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="retraction" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_retraction" value="retraction"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_retraction">Retraction (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="short note" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_note" value="note"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_note">Short Note (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="comment" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_article-commentary" value="article-commentary"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_article-commentary">Comment (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="creative" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_creative" value="creative"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_creative">Creative (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="protocol" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_protocol" value="protocol"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_protocol">Protocol (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="guidelines" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_guidelines" value="guidelines"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_guidelines">Guidelines (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="entry" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_article_types" id="refine_article_types_Entry" value="Entry"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_article_types_Entry">Entry (1)</label> </div> </div> </div> </div> <div class="row"> <div class="small-12 columns"> <a class="button button--color js-filter-close" data-itemid="article_types" onclick="$('#refine-modal-article_types').foundation('reveal', 'close'); return false;">Add to Filter</a> <a class="button button--grey" onclick="$(this).closest('.reveal-modal').find('.close-reveal-modal').click(); return false;">Cancel</a> </div> </div> <input type="hidden" name="article_types" id="refine_article_types_field"> <a class="close-reveal-modal" aria-label="Close"> <i class="material-icons">clear</i> </a> </div></div> <div class="generic-item refind-item-wrap filter-container filter-container-countries" style=""> <h3>Countries / Regions</h3> <div class="js-refinement-selections-container"> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CHINA"> <i class="material-icons">remove_circle_outline</i> </a> <label> China </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_UNITED_STATES"> <i class="material-icons">remove_circle_outline</i> </a> <label> USA </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ITALY"> <i class="material-icons">remove_circle_outline</i> </a> <label> Italy </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_GERMANY"> <i class="material-icons">remove_circle_outline</i> </a> <label> Germany </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SPAIN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Spain </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_UNITED_KINGDOM"> <i class="material-icons">remove_circle_outline</i> </a> <label> UK </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KOREA_REPUBLIC_OF"> <i class="material-icons">remove_circle_outline</i> </a> <label> Republic of Korea </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SAUDI_ARABIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Saudi Arabia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CANADA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Canada </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_INDIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> India </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_RUSSIAN_FEDERATION"> <i class="material-icons">remove_circle_outline</i> </a> <label> Russia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_FRANCE"> <i class="material-icons">remove_circle_outline</i> </a> <label> France </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_POLAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> Poland </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_AUSTRALIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Australia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_GREECE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Greece </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_TAIWAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Taiwan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_JAPAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Japan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PORTUGAL"> <i class="material-icons">remove_circle_outline</i> </a> <label> Portugal </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MALAYSIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Malaysia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PAKISTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Pakistan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BRAZIL"> <i class="material-icons">remove_circle_outline</i> </a> <label> Brazil </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ROMANIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Romania </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_EGYPT"> <i class="material-icons">remove_circle_outline</i> </a> <label> Egypt </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MEXICO"> <i class="material-icons">remove_circle_outline</i> </a> <label> Mexico </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_IRAN_ISLAMIC_REPUBLIC_OF"> <i class="material-icons">remove_circle_outline</i> </a> <label> Iran </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NETHERLANDS"> <i class="material-icons">remove_circle_outline</i> </a> <label> The Netherlands </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_TURKEY"> <i class="material-icons">remove_circle_outline</i> </a> <label> Turkey (Türkiye) </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SWITZERLAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> Switzerland </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SWEDEN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sweden </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BELGIUM"> <i class="material-icons">remove_circle_outline</i> </a> <label> Belgium </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SOUTH_AFRICA"> <i class="material-icons">remove_circle_outline</i> </a> <label> South Africa </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_AUSTRIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Austria </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CZECH_REPUBLIC"> <i class="material-icons">remove_circle_outline</i> </a> <label> Czech Republic </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_HUNGARY"> <i class="material-icons">remove_circle_outline</i> </a> <label> Hungary </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_UNITED_ARAB_EMIRATES"> <i class="material-icons">remove_circle_outline</i> </a> <label> United Arab Emirates </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NORWAY"> <i class="material-icons">remove_circle_outline</i> </a> <label> Norway </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SERBIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Serbia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CHILE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Chile </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_THAILAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> Thailand </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_VIETNAM"> <i class="material-icons">remove_circle_outline</i> </a> <label> Vietnam </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_INDONESIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Indonesia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SLOVAKIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Slovakia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_COLOMBIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Colombia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SINGAPORE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Singapore </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_DENMARK"> <i class="material-icons">remove_circle_outline</i> </a> <label> Denmark </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ISRAEL"> <i class="material-icons">remove_circle_outline</i> </a> <label> Israel </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_FINLAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> Finland </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CROATIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Croatia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_IRAQ"> <i class="material-icons">remove_circle_outline</i> </a> <label> Iraq </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_IRELAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> Ireland </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SLOVENIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Slovenia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ALGERIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Algeria </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_UKRAINE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Ukraine </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LITHUANIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Lithuania </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NIGERIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Nigeria </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BULGARIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bulgaria </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MOROCCO"> <i class="material-icons">remove_circle_outline</i> </a> <label> Morocco </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_OMAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Oman </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BANGLADESH"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bangladesh </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CYPRUS"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cyprus </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_JORDAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Jordan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_TUNISIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Tunisia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ARGENTINA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Argentina </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NEW_ZEALAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> New Zealand </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_QATAR"> <i class="material-icons">remove_circle_outline</i> </a> <label> Qatar </label> </div/> <div class="remove-filter-container 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class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KUWAIT"> <i class="material-icons">remove_circle_outline</i> </a> <label> Kuwait </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PERU"> <i class="material-icons">remove_circle_outline</i> </a> <label> Peru </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ETHIOPIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Ethiopia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_GHANA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Ghana </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LATVIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Latvia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PHILIPPINES"> <i class="material-icons">remove_circle_outline</i> </a> <label> Philippines </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_YEMEN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Yemen </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_HONG_KONG"> <i class="material-icons">remove_circle_outline</i> </a> <label> Hong Kong </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KENYA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Kenya </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LUXEMBOURG"> <i class="material-icons">remove_circle_outline</i> </a> <label> Luxembourg </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SUDAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sudan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BOSNIA_AND_HERZEGOVINA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bosnia and Herzegovina </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SRI_LANKA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Sri Lanka </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_UZBEKISTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Uzbekistan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BAHRAIN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bahrain </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CUBA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cuba </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MACAO"> <i class="material-icons">remove_circle_outline</i> </a> <label> Macao </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ALBANIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Albania </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BRUNEI"> <i class="material-icons">remove_circle_outline</i> </a> <label> Brunei </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_CAMEROON"> <i class="material-icons">remove_circle_outline</i> </a> <label> Cameroon </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_GEORGIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Georgia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ICELAND"> <i class="material-icons">remove_circle_outline</i> </a> <label> Iceland </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NAMIBIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Namibia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_URUGUAY"> <i class="material-icons">remove_circle_outline</i> </a> <label> Uruguay </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NORTH_MACEDONIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> North Macedonia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_AZERBAIJAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Azerbaijan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BELARUS"> <i class="material-icons">remove_circle_outline</i> </a> <label> Belarus </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BHUTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Bhutan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_FIJI"> <i class="material-icons">remove_circle_outline</i> </a> <label> Fiji </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LAO_PEOPLES_DEMOCRATIC_REPUBLIC"> <i class="material-icons">remove_circle_outline</i> </a> <label> Laos </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_LIBYAN_ARAB_JAMAHIRIYA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Libya </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MALTA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Malta </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MONGOLIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Mongolia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_NEPAL"> <i class="material-icons">remove_circle_outline</i> </a> <label> Nepal </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_RWANDA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Rwanda </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_TANZANIA_UNITED_REPUBLIC_OF"> <i class="material-icons">remove_circle_outline</i> </a> <label> Tanzania </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ZIMBABWE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Zimbabwe </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_AFGHANISTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Afghanistan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ANGOLA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Angola </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_ARMENIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Armenia </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_BURKINA_FASO"> <i class="material-icons">remove_circle_outline</i> </a> <label> Burkina Faso </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_COSTA_RICA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Costa Rica </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_COTE_DIVOIRE"> <i class="material-icons">remove_circle_outline</i> </a> <label> Côte d'Ivoire </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_DOMINICAN_REPUBLIC"> <i class="material-icons">remove_circle_outline</i> </a> <label> Dominican Republic </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_EL_SALVADOR"> <i class="material-icons">remove_circle_outline</i> </a> <label> El Salvador </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_GUAM"> <i class="material-icons">remove_circle_outline</i> </a> <label> Guam </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_GUATEMALA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Guatemala </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_HAITI"> <i class="material-icons">remove_circle_outline</i> </a> <label> Haiti </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_KYRGYZSTAN"> <i class="material-icons">remove_circle_outline</i> </a> <label> Kyrgyzstan </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MALAWI"> <i class="material-icons">remove_circle_outline</i> </a> <label> Malawi </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MAURITANIA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Mauritania </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_MOLDOVA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Moldova </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PANAMA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Panama </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_PAPUA_NEW_GUINEA"> <i class="material-icons">remove_circle_outline</i> </a> <label> Papua New Guinea </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_REUNION"> <i class="material-icons">remove_circle_outline</i> </a> <label> Réunion </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SENEGAL"> <i class="material-icons">remove_circle_outline</i> </a> <label> Senegal </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_SYRIAN_ARAB_REPUBLIC"> <i class="material-icons">remove_circle_outline</i> </a> <label> Syrian Arab Republic </label> </div/> <div class="remove-filter-container remove-filter-container--hidden"> <a href="#" class="remove-filter-link link--red " data-filterid="refine_countries_TRINIDAD_AND_TOBAGO"> <i class="material-icons">remove_circle_outline</i> </a> <label> Trinidad and Tobago </label> </div/> <div 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for="refine_countries_ALBANIA">Albania (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="brunei" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BRUNEI" value="BRUNEI"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BRUNEI">Brunei (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="cameroon" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_CAMEROON" value="CAMEROON"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_CAMEROON">Cameroon (3)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="georgia" style="padding-top: 0px; padding-bottom: 0px; 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style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_AZERBAIJAN" value="AZERBAIJAN"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_AZERBAIJAN">Azerbaijan (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="belarus" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BELARUS" value="BELARUS"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_BELARUS">Belarus (2)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="bhutan" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_BHUTAN" value="BHUTAN"> <label 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data-filter="côte d'ivoire" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_COTE_DIVOIRE" value="COTE_DIVOIRE"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_COTE_DIVOIRE">Côte d'Ivoire (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="dominican republic" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" class="refine_checkbox refine_countries" id="refine_countries_DOMINICAN_REPUBLIC" value="DOMINICAN_REPUBLIC"> <label class="search_refine_label" style="margin-bottom: 10px;" for="refine_countries_DOMINICAN_REPUBLIC">Dominican Republic (1)</label> </div> </div> <div class="large-6 medium-6 small-12 columns end js-data-filter" data-filter="el salvador" style="padding-top: 0px; padding-bottom: 0px; margin-top: 0;" > <div> <input type="checkbox" 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class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 16 pages, 624 KiB </span> <a href="/2072-6694/16/23/3927/pdf?version=1732351449" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Analytical Validation and Performance Evaluation of Amplicon-Based Next-Generation Sequencing Assays for Detecting ERBB2 and Other Gene Amplifications in Solid Tumors" data-journal="cancers"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2072-6694/16/23/3927">Analytical Validation and Performance Evaluation of Amplicon-Based Next-Generation Sequencing Assays for Detecting <i>ERBB2 </i>and Other Gene Amplifications in Solid Tumors</a> <div class="authors"> by <span class="inlineblock "><strong>Ekaterina Olkhov-Mitsel</strong>, </span><span class="inlineblock "><strong>Danny Chan</strong>, </span><span class="inlineblock "><strong>Kenneth J. Craddock</strong>, </span><span class="inlineblock "><strong>August Lin</strong>, </span><span class="inlineblock "><strong>Grace Luk</strong>, </span><span class="inlineblock "><strong>Rashmi S. Goswami</strong>, </span><span class="inlineblock "><strong>Hong Wang</strong>, </span><span class="inlineblock "><strong>Anna Plotkin</strong>, </span><span class="inlineblock "><strong>Sharon Nofech-Mozes</strong>, </span><span class="inlineblock "><strong>David M. Hwang</strong> and </span><span class="inlineblock "><strong>Weei-Yuarn Huang</strong></span> </div> <div class="color-grey-dark"> <em>Cancers</em> <b>2024</b>, <em>16</em>(23), 3927; https://doi.org/10.3390/cancers16233927 (registering DOI) - 23 Nov 2024 </div> <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Background: Targeted next-generation sequencing (NGS) panels are increasingly being utilized to identify actionable gene amplifications (copy number >4) among solid tumors. Methods: This study validated the analytical performance of two amplicon-based NGS assays, the Oncomine Comprehensive Panel (OCAv3) and the Oncomine Focus Assay <a href="#" data-counterslink = "https://www.mdpi.com/2072-6694/16/23/3927/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Background: Targeted next-generation sequencing (NGS) panels are increasingly being utilized to identify actionable gene amplifications (copy number >4) among solid tumors. Methods: This study validated the analytical performance of two amplicon-based NGS assays, the Oncomine Comprehensive Panel (OCAv3) and the Oncomine Focus Assay (OFA), for detecting gene amplification in formalin-fixed paraffin-embedded (FFPE) tumors of varying cellularity. OCAv3 was assessed for amplification detection in 756 FFPE samples comprising various tumor types. Results: We demonstrated that with standardized quality control metrics, including median absolute pairwise difference score, these assays can achieve a near-perfect positive predictive value, although their sensitivity for detecting amplifications significantly decreased in tumors with cellularity below 30%. Stratifying tumor cellularity into 10–30%, 31–60%, and 61–95% groups revealed significantly higher gene amplification detection rates in the 31–60% and 61–95% groups <i>versus</i> the 10–30% group (20.6% and 26.7% vs. 9.2%, <i>p</i> < 0.0001). When considering all detected gene amplifications, the average amplification calling per sample was nearly five-fold lower in the 10–30% group <i>versus</i> the 61–95% group (0.11 vs. 0.52; <i>p</i> < 0.0001). To further investigate the analytic performance of OCAv3 in detecting <i>ERBB2</i> amplification, we analyzed a cohort of 121 uterine carcinomas with confirmed <i>ERBB2</i> status by HER2 IHC or FISH, in which a threshold incorporating amplifications and tumor cellularity achieved 79% sensitivity and 100% specificity, potentially eliminating the need for FISH analysis in 34% of equivocal cases. In a separate validation cohort, similar analytical performance was observed, with the threshold demonstrating consistent sensitivity and specificity. Conclusions: This study highlights the strengths and limitations of amplicon-based NGS assays in detecting amplifications using real-world data. <a href="/2072-6694/16/23/3927">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/cancers/special_issues/9R5689M983 ">Application of Genomic Testing in Precision Oncology</a>)<br/> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1527685" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 14 pages, 1209 KiB </span> <a href="/2311-5521/9/12/276/pdf?version=1732351294" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Investigation of Nonlinear Relations Among Flow Profiles Using Artificial Neural Networks" data-journal="fluids"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2311-5521/9/12/276">Investigation of Nonlinear Relations Among Flow Profiles Using Artificial Neural Networks</a> <div class="authors"> by <span class="inlineblock "><strong>Shiming Yuan</strong>, </span><span class="inlineblock "><strong>Caixia Chen</strong>, </span><span class="inlineblock "><strong>Yong Yang</strong> and </span><span class="inlineblock "><strong>Yonghua Yan</strong></span> </div> <div class="color-grey-dark"> <em>Fluids</em> <b>2024</b>, <em>9</em>(12), 276; https://doi.org/10.3390/fluids9120276 (registering DOI) - 23 Nov 2024 </div> <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> This study investigated the ability of artificial neural networks (ANNs) to resolve the nonlinear dynamics inherent in the behavior of complex fluid flows, which often exhibit multifaceted characteristics that challenge traditional analytical or numerical methods. By employing flow profile pairs that are generated <a href="#" data-counterslink = "https://www.mdpi.com/2311-5521/9/12/276/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> This study investigated the ability of artificial neural networks (ANNs) to resolve the nonlinear dynamics inherent in the behavior of complex fluid flows, which often exhibit multifaceted characteristics that challenge traditional analytical or numerical methods. By employing flow profile pairs that are generated through high-fidelity numerical simulations, encompassing both the one-dimensional benchmark problems and the more intricate three-dimensional boundary layer transition problem, this research convincingly demonstrates that neural networks possess a remarkable capacity to effectively capture the discontinuities and the subtle wave characteristics that occur at small scales within complex fluid flows, thereby showcasing their robustness in handling intricate fluid dynamics phenomena. Furthermore, even in the context of challenging three-dimensional problems, this study reveals that the average velocity profiles can be predicted with a high degree of accuracy, utilizing a limited number of input profiles during the training phase, which underscores the efficiency and efficacy of the model in understanding complex systems. The findings of this study significantly underscore the immense potential that artificial neural networks, along with deep learning methodologies, hold in advancing our comprehension of the fundamental physics that govern complex fluid dynamics systems, while concurrently demonstrating their applicability across a variety of flow scenarios and their capacity to yield insightful revelations regarding the nonlinear relationships that exist among diverse flow parameters, thus paving the way for future research in this critical area of study. <a href="/2311-5521/9/12/276">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/fluids/special_issues/3W35QEY421 ">Future Trends and Challenges in High Performance Computing for Turbulence</a>)<br/> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1527323" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 21 pages, 3427 KiB </span> <a href="/1996-1073/17/23/5868/pdf?version=1732285593" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Electrical Model Analysis for Bifacial PV Modules Using Real Performance Data in Laboratory" data-journal="energies"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/1996-1073/17/23/5868">Electrical Model Analysis for Bifacial PV Modules Using Real Performance Data in Laboratory</a> <div class="authors"> by <span class="inlineblock "><strong>Valentina González Becerra</strong>, </span><span class="inlineblock "><strong>Patricio Valdivia-Lefort</strong>, </span><span class="inlineblock "><strong>Rodrigo Barraza</strong> and </span><span class="inlineblock "><strong>Jesús García García</strong></span> </div> <div class="color-grey-dark"> <em>Energies</em> <b>2024</b>, <em>17</em>(23), 5868; <a href="https://doi.org/10.3390/en17235868">https://doi.org/10.3390/en17235868</a> - 22 Nov 2024 </div> <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> The new PV technologies, such as bifacial modules, bring the challenge of analyzing the response of numerical models and their fit to actual measurements. Thus, this study explores various models available in the literature for simulating the IV curve behavior of bifacial photovoltaic <a href="#" data-counterslink = "https://www.mdpi.com/1996-1073/17/23/5868/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> The new PV technologies, such as bifacial modules, bring the challenge of analyzing the response of numerical models and their fit to actual measurements. Thus, this study explores various models available in the literature for simulating the IV curve behavior of bifacial photovoltaic modules. The analysis contains traditional models, such as single and double-diode models, and empirical or analytical methodologies. Therefore, this paper proposes and implements a model performance assessment framework. This framework aims to establish a common basis for comparison and verify the applicability of each model by contrasting it with experimental data under controlled conditions of irradiance and temperature. The study utilizes bifacial modules of PERC+, HJT, and n-PERT technologies, tracing IV curves using a high-precision A+A+A+ solar simulator and conducting two sets of laboratory illumination measurements: single-sided and double-sided. In the first case, each face of the module is illuminated separately, while in the latter, the incident frontal illuminating light is reflected on a reflective surface. Experimental data obtained from these measurements are used to evaluate three different approximations for bifacial IV curve models in the case of double-sided illumination. The employed model for single-sided illumination is a single-diode model. The evaluation of various models revealed that shadowing from frames and junction boxes contributes to an increase in the error of modeled IV curves. However, among the three evaluated bifacial electrical models, one exhibited superior performance, with current errors approaching approximately <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>20</mn><mo>%</mo></mrow></semantics></math></inline-formula>. To mitigate this discrepancy, a proposed methodology highlighted the significance of accurately estimating <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>I</mi><mi mathvariant="normal">o</mi></msub></semantics></math></inline-formula>, suggesting its potential to reduce errors. This research provides a foundation for comparing electrical models to identify their strengths and limitations, paving the way for the development of more accurate modeling approaches tailored to bifacial modules. The insights gained from this study are crucial for enhancing the precision of IV curve predictions under various illumination conditions, which is essential for optimizing bifacial module performance in real-world applications. <a href="/1996-1073/17/23/5868">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/energies/special_issues/CN429H4EGD ">Recent Advances in Solar Thermal Technologies and Solar Energy Application</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/1996-1073/17/23/5868/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1527323"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1527323"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1527323" data-cycle-prev="#prev1527323" data-cycle-progressive="#images1527323" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1527323-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g001-550.jpg?1732285720" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1527323" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g002-550.jpg?1732285722'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g003-550.jpg?1732285722'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g004-550.jpg?1732285723'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g005-550.jpg?1732285724'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g006-550.jpg?1732285725'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g007-550.jpg?1732285726'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g008-550.jpg?1732285727'><p>Figure 8</p></div> --- <div class='openpopupgallery' data-imgindex='8' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g009-550.jpg?1732285728'><p>Figure 9</p></div> --- <div class='openpopupgallery' data-imgindex='9' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g010-550.jpg?1732285728'><p>Figure 10</p></div> --- <div class='openpopupgallery' data-imgindex='10' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g011-550.jpg?1732285729'><p>Figure 11</p></div> --- <div class='openpopupgallery' data-imgindex='11' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g012-550.jpg?1732285730'><p>Figure 12</p></div> --- <div class='openpopupgallery' data-imgindex='12' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g013-550.jpg?1732285731'><p>Figure 13</p></div> --- <div class='openpopupgallery' data-imgindex='13' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g014-550.jpg?1732285731'><p>Figure 14</p></div> --- <div class='openpopupgallery' data-imgindex='14' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g015-550.jpg?1732285732'><p>Figure 15</p></div> --- <div class='openpopupgallery' data-imgindex='15' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g016-550.jpg?1732285733'><p>Figure 16</p></div> --- <div class='openpopupgallery' data-imgindex='16' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g017-550.jpg?1732285733'><p>Figure 17</p></div> --- <div class='openpopupgallery' data-imgindex='17' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g018-550.jpg?1732285733'><p>Figure 18</p></div> --- <div class='openpopupgallery' data-imgindex='18' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g019-550.jpg?1732285734'><p>Figure 19</p></div> --- <div class='openpopupgallery' data-imgindex='19' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g020-550.jpg?1732285735'><p>Figure 20</p></div> --- <div class='openpopupgallery' data-imgindex='20' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g021-550.jpg?1732285735'><p>Figure 21</p></div> --- <div class='openpopupgallery' data-imgindex='21' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g022-550.jpg?1732285736'><p>Figure 22</p></div> --- <div class='openpopupgallery' data-imgindex='22' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g023-550.jpg?1732285736'><p>Figure 23</p></div> --- <div class='openpopupgallery' data-imgindex='23' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g024-550.jpg?1732285737'><p>Figure 24</p></div> --- <div class='openpopupgallery' data-imgindex='24' data-target='article-1527323-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g025-550.jpg?1732285737'><p>Figure 25</p></div></script></div></div><div id="article-1527323-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g001-550.jpg?1732285720" title=" <strong>Figure 1</strong><br/> <p>Single-diode model adapted for bifacial PV devices.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g002-550.jpg?1732285722" title=" <strong>Figure 2</strong><br/> <p>Paralell configuration of the single-diode model for bifacial PV devices.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g003-550.jpg?1732285722" title=" <strong>Figure 3</strong><br/> <p>Double-diode model adapted for bifacial PV devices.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g004-550.jpg?1732285723" title=" <strong>Figure 4</strong><br/> <p>Solar simulator setup for single-sided measurement.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g005-550.jpg?1732285724" title=" <strong>Figure 5</strong><br/> <p>Solar simulator setup for double-sided measurement.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g006-550.jpg?1732285725" title=" <strong>Figure 6</strong><br/> <p>Rear irradiance measuring points to evaluate uniformity in the surface of the module.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g007-550.jpg?1732285726" title=" <strong>Figure 7</strong><br/> <p>Single-sided illumination measurement explanation scheme.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g008-550.jpg?1732285727" title=" <strong>Figure 8</strong><br/> <p>Double-sided illumination measurement explanation scheme.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g009-550.jpg?1732285728" title=" <strong>Figure 9</strong><br/> <p>(<b>a</b>) IV curves for frontal and rear faces of Risen RSM72-6-370BMDG and (<b>b</b>) current difference between experimental data and model results.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g010-550.jpg?1732285728" title=" <strong>Figure 10</strong><br/> <p>(<b>a</b>) IV curves for frontal and rear faces of SunPower SPR-P6-500-COM-S-BF and (<b>b</b>) current difference between experimental data and model results.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g011-550.jpg?1732285729" title=" <strong>Figure 11</strong><br/> <p>(<b>a</b>) IV curves for frontal and rear faces of HET GO25 and (<b>b</b>) current difference between experimental data and model results.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g012-550.jpg?1732285730" title=" <strong>Figure 12</strong><br/> <p>(<b>a</b>) IV curves for frontal and rear faces of HJT GOPV PSDA 6 and (<b>b</b>) current difference between experimental data and model results.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g013-550.jpg?1732285731" title=" <strong>Figure 13</strong><br/> <p>(<b>a</b>) IV curves for frontal and rear faces of n-PERT and (<b>b</b>) current difference between experimental data and model results.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g014-550.jpg?1732285731" title=" <strong>Figure 14</strong><br/> <p>(<b>a</b>) IV and PV curves for experimental and modeled data, an (<b>b</b>) current and power differences between each model and experimental data, illustrated for module Risen RSM72-6-370BMDG.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g015-550.jpg?1732285732" title=" <strong>Figure 15</strong><br/> <p>(<b>a</b>) IV and PV curves for experimental and modeled data, an (<b>b</b>) current and power differences between each model and experimental data, illustrated for module SunPower SPR-P6-500-COM-S-BF.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g016-550.jpg?1732285733" title=" <strong>Figure 16</strong><br/> <p>(<b>a</b>) IV and PV curves for experimental and modeled data, an (<b>b</b>) current and power differences between each model and experimental data, illustrated for module Trina TSM-DE18M(II).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g017-550.jpg?1732285733" title=" <strong>Figure 17</strong><br/> <p>Difference between <math display="inline"><semantics> <msub> <mi>P</mi> <mi>max</mi> </msub> </semantics></math> and current at the last data series point for experimental and modeled data for the Risen RSM-72-6-370BMDG module.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g018-550.jpg?1732285733" title=" <strong>Figure 18</strong><br/> <p>Difference between <math display="inline"><semantics> <msub> <mi>P</mi> <mi>max</mi> </msub> </semantics></math> and current at the last data series point for experimental and modeled data for the SunPower SPR-P6-500-COM-S-BF module.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g019-550.jpg?1732285734" title=" <strong>Figure 19</strong><br/> <p>Difference between <math display="inline"><semantics> <msub> <mi>P</mi> <mi>max</mi> </msub> </semantics></math> and current at the last data series point for experimental and modeled data for the Trina TSM-DE 18M(II) module.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g020-550.jpg?1732285735" title=" <strong>Figure 20</strong><br/> <p>IV and PV curves percent error for direct parameter extraction for (<b>a</b>) SDM (<b>b</b>) DDM for module Risen RSM72-6-370BMDG, considering parameters shown in <a href="#energies-17-05868-t003" class="html-table">Table 3</a>.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g021-550.jpg?1732285735" title=" <strong>Figure 21</strong><br/> <p>IV and PV curves percent error for direct parameter extraction for (<b>a</b>) SDM (<b>b</b>) DDM for module SunPower SPR-P6-500-COM-S-BF, considering parameters shown in <a href="#energies-17-05868-t003" class="html-table">Table 3</a>.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g022-550.jpg?1732285736" title=" <strong>Figure 22</strong><br/> <p>IV and PV curves percent error for direct parameter extraction for (<b>a</b>) SDM (<b>b</b>) DDM for module Trina TSM-DE18M(II), considering parameters showed in <a href="#energies-17-05868-t003" class="html-table">Table 3</a>.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g023-550.jpg?1732285736" title=" <strong>Figure 23</strong><br/> <p>Current error when obtained parameters are changed for the estimated SDM parameters for module Risen RSM-72-6-370BMDG.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g024-550.jpg?1732285737" title=" <strong>Figure 24</strong><br/> <p>Current error when obtained parameters are changed for the estimated SDM parameters for module SunPower SPR-P6-500-COM-S-BF.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05868/article_deploy/html/images/energies-17-05868-g025-550.jpg?1732285737" title=" <strong>Figure 25</strong><br/> <p>Current error when obtained parameters are changed for the estimated SDM parameters for module Trina TSM-DE18M(II).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5868'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1527285" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 20 pages, 1959 KiB </span> <a href="/1996-1073/17/23/5866/pdf?version=1732284023" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Predictive Analytics for Energy Efficiency: Leveraging Machine Learning to Optimize Household Energy Consumption" data-journal="energies"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/1996-1073/17/23/5866">Predictive Analytics for Energy Efficiency: Leveraging Machine Learning to Optimize Household Energy Consumption</a> <div class="authors"> by <span class="inlineblock "><strong>Piotr Powroźnik</strong> and </span><span class="inlineblock "><strong>Paweł Szcześniak</strong></span> </div> <div class="color-grey-dark"> <em>Energies</em> <b>2024</b>, <em>17</em>(23), 5866; <a href="https://doi.org/10.3390/en17235866">https://doi.org/10.3390/en17235866</a> - 22 Nov 2024 </div> <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> This paper presents a novel machine learning framework useful for optimizing energy consumption in households. Home appliances have a great potential to optimize electricity consumption by mitigating peaks in the grid load or peaks in renewable energy generation. However, such functionality of home <a href="#" data-counterslink = "https://www.mdpi.com/1996-1073/17/23/5866/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> This paper presents a novel machine learning framework useful for optimizing energy consumption in households. Home appliances have a great potential to optimize electricity consumption by mitigating peaks in the grid load or peaks in renewable energy generation. However, such functionality of home appliances requires their users to change their behavior regarding energy consumption. One of the criteria that could encourage electricity users to change their behavior is the cost of energy. The introduction of dynamic energy prices can significantly increase energy costs for unsuspecting consumers. In order to be able to make the right decisions about the process of electricity use in households, an algorithm based on machine learning is proposed. The presented proposal for optimizing electricity consumption takes into account dynamic changes in energy prices, energy production from renewable energy sources, and home appliances that can participate in the energy optimization process. The proposed model uses data from smart meters and dynamic price information to generate personalized recommendations tailored to individual households. The algorithm, based on machine learning and historical household behavior data, calculates a metric to determine whether to send a notification (message) to the user. This notification may suggest increasing or decreasing energy consumption at a specific time, or may inform the user about potential cost fluctuations in the upcoming hours. This will allow energy users to use energy more consciously or to set priorities in home energy management systems (HEMS). This is a different approach than in previous publications, where the main goal of optimizing energy consumption was to optimize the operation of the power system while taking into account the profits of energy suppliers. The proposed algorithms can be implemented either in HEMS or smart energy meters. In this work, simulations of the application of machine learning with different characteristics were carried out in the MATLAB program. An analysis of machine learning algorithms for different input data and amounts of data and the characteristic features of models is presented. <a href="/1996-1073/17/23/5866">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/energies/special_issues/5TT24K7B3F ">Novel Energy Management Approaches in Microgrid Systems</a>)<br/> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1526985" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 27 pages, 2632 KiB </span> <a href="/1996-1073/17/23/5856/pdf?version=1732270083" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Classification Analytics for Wind Turbine Blade Faults: Integrated Signal Analysis and Machine Learning Approach" data-journal="energies"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/1996-1073/17/23/5856">Classification Analytics for Wind Turbine Blade Faults: Integrated Signal Analysis and Machine Learning Approach</a> <div class="authors"> by <span class="inlineblock "><strong>Waqar Ali</strong>, </span><span class="inlineblock "><strong>Idriss El-Thalji</strong>, </span><span class="inlineblock "><strong>Knut Erik Teigen Giljarhus</strong> and </span><span class="inlineblock "><strong>Andreas Delimitis</strong></span> </div> <div class="color-grey-dark"> <em>Energies</em> <b>2024</b>, <em>17</em>(23), 5856; <a href="https://doi.org/10.3390/en17235856">https://doi.org/10.3390/en17235856</a> - 22 Nov 2024 </div> <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Wind turbine blades are critical components of wind energy systems, and their structural health is essential for reliable operation and maintenance. Several studies have used time-domain and frequency-domain features alongside machine learning techniques to predict faults in wind turbine blades, such as erosion <a href="#" data-counterslink = "https://www.mdpi.com/1996-1073/17/23/5856/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Wind turbine blades are critical components of wind energy systems, and their structural health is essential for reliable operation and maintenance. Several studies have used time-domain and frequency-domain features alongside machine learning techniques to predict faults in wind turbine blades, such as erosion and cracks. However, a key gap remains in integrating these methods into a unified framework for fault prediction, which could offer a more comprehensive solution for diagnosing faults. This paper presents an approach to classify faults in wind turbine blades by leveraging well-known signals and analysis with machine learning techniques. The methodology involves a detailed feature engineering process that extracts and analyzes features from the time and frequency domains. Open-source vibration data collected from an experimental setup (where a small wind turbine with an artificially eroded and cracked blade was tested) were utilized. The time- and frequency-domain features were extracted and analyzed using various machine learning algorithms. It was found that erosion and crack faults have unique time- and frequency-domain features. The crack fault introduces an amplitude modulation in the vibration time wave, which produces sidebands around the fundamental frequency in the frequency domain. However, erosion fault introduces asymmetricity and flatness to the vibration time wave, which produces harmonics in the frequency-domain plot. The results also highlighted that utilizing both time- and frequency-fault features enhances the performance of the machine learning algorithms. This study further illustrates that even though some machine learning algorithms provide similar high classification accuracy, they might differ in quantifying error Types I, II, and, III, which is extremely important for maintenance engineers, as it might lead to undetected fault events and false alarm events. <a href="/1996-1073/17/23/5856">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/energies/special_issues/05VCOFL4OO ">Structural Testing and Health Monitoring of Wind Turbines</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/1996-1073/17/23/5856/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1526985"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1526985"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1526985" data-cycle-prev="#prev1526985" data-cycle-progressive="#images1526985" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1526985-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g001-550.jpg?1732270328" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1526985" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g002-550.jpg?1732270329'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g003-550.jpg?1732270330'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g004-550.jpg?1732270332'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g005-550.jpg?1732270333'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g006-550.jpg?1732270335'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g007-550.jpg?1732270336'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g008-550.jpg?1732270337'><p>Figure 8</p></div> --- <div class='openpopupgallery' data-imgindex='8' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g009-550.jpg?1732270338'><p>Figure 9</p></div> --- <div class='openpopupgallery' data-imgindex='9' data-target='article-1526985-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g010-550.jpg?1732270344'><p>Figure 10</p></div></script></div></div><div id="article-1526985-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g001-550.jpg?1732270328" title=" <strong>Figure 1</strong><br/> <p>Overview of the methodology used in this study, illustrating key components and workflows for data processing and analysis.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g002-550.jpg?1732270329" title=" <strong>Figure 2</strong><br/> <p>Time series signals with overlapping segments highlighted. The plot shows the entire signal in blue, with the first two overlapping segments highlighted in black and dark red, respectively. Each segment is annotated with its sample number.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g003-550.jpg?1732270330" title=" <strong>Figure 3</strong><br/> <p>Confusion matrix visualization showing Type I, Type II, and Type III errors for predicted crack, erosion, and healthy label in relation to the true label.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g004-550.jpg?1732270332" title=" <strong>Figure 4</strong><br/> <p>The raw signals and their autocorrelation responses for wind turbine blade faults: healthy, crack, and erosion conditions.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g005-550.jpg?1732270333" title=" <strong>Figure 5</strong><br/> <p>Comparison of normalized time-domain features across fault types.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g006-550.jpg?1732270335" title=" <strong>Figure 6</strong><br/> <p>FFT spectrum for healthy, crack fault, and erosion fault blade conditions.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g007-550.jpg?1732270336" title=" <strong>Figure 7</strong><br/> <p>(a) XGBoost feature importance, (<b>b</b>) XGBoost confusion matrix.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g008-550.jpg?1732270337" title=" <strong>Figure 8</strong><br/> <p>(<b>a</b>) Random forest confusion matrix, (<b>b</b>) support vector machine confusion matrix.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g009-550.jpg?1732270338" title=" <strong>Figure 9</strong><br/> <p>(<b>a</b>) Logistic regression confusion matrix, (<b>b</b>) MLP classifier confusion matrix.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/energies/energies-17-05856/article_deploy/html/images/energies-17-05856-g010-550.jpg?1732270344" title=" <strong>Figure 10</strong><br/> <p>Comparison between Type I, Type II, and Type III errors for the models (time domain, frequency domain, and combined features). (<b>a</b>) Error quantification based on time-domain features. (<b>b</b>) Error quantification based on frequency-domain features. (<b>c</b>) Error quantification based on combined features.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1996-1073/17/23/5856'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1526829" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 29 pages, 3406 KiB </span> <a href="/2226-4310/11/12/962/pdf?version=1732266089" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Comparison of Prediction Models for Sonic Boom Ground Signatures Under Realistic Flight Conditions" data-journal="aerospace"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2226-4310/11/12/962">Comparison of Prediction Models for Sonic Boom Ground Signatures Under Realistic Flight Conditions</a> <div class="authors"> by <span class="inlineblock "><strong>Jacob Jäschke</strong>, </span><span class="inlineblock "><strong>Samuele Graziani</strong>, </span><span class="inlineblock "><strong>Francesco Petrosino</strong>, </span><span class="inlineblock "><strong>Antimo Glorioso</strong> and </span><span class="inlineblock "><strong>Volker Gollnick</strong></span> </div> <div class="color-grey-dark"> <em>Aerospace</em> <b>2024</b>, <em>11</em>(12), 962; <a href="https://doi.org/10.3390/aerospace11120962">https://doi.org/10.3390/aerospace11120962</a> - 22 Nov 2024 </div> Viewed by 66 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> This paper presents a comparative analysis of simplified and high-fidelity sonic boom prediction methods to assess their applicability in the conceptual design of supersonic aircraft. The high-fidelity approach combines Computational Fluid Dynamics (CFD) for near-field shock analysis with ray-tracing and the Augmented Burgers <a href="#" data-counterslink = "https://www.mdpi.com/2226-4310/11/12/962/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> This paper presents a comparative analysis of simplified and high-fidelity sonic boom prediction methods to assess their applicability in the conceptual design of supersonic aircraft. The high-fidelity approach combines Computational Fluid Dynamics (CFD) for near-field shock analysis with ray-tracing and the Augmented Burgers Equation for far-field propagation through a non-uniform atmosphere, whereas the simplified Carlson method uses analytical approximations for rapid predictions. The comparison across selected climb, cruise, and descent conditions for a supersonic reference aircraft shows that the Carlson method captures general trends in sonic boom behavior, such as changes in peak overpressure and signal duration with varying Mach number and altitude. However, significant deviations are noted under realistic atmospheric conditions, highlighting limitations in the simplified model’s accuracy. Common psycho-acoustic metrics were evaluated to assess the potential annoyance on the ground. The results demonstrate that while the simplified method is effective for early-stage design assessments, the high-fidelity model is essential for precise sonic boom characterization under realistic conditions, particularly for regulatory and community impact evaluations. <a href="/2226-4310/11/12/962">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/aerospace/special_issues/07706I40NU ">Sustainable Civil Supersonic and Hypersonic Aircraft: Main Challenges and Latest Developments</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2226-4310/11/12/962/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1526829"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1526829"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1526829" data-cycle-prev="#prev1526829" data-cycle-progressive="#images1526829" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1526829-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g001-550.jpg?1732266213" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1526829" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g002-550.jpg?1732266215'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g003-550.jpg?1732266215'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g004-550.jpg?1732266216'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g005-550.jpg?1732266217'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g006-550.jpg?1732266219'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g007-550.jpg?1732266219'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g008-550.jpg?1732266221'><p>Figure 8</p></div> --- <div class='openpopupgallery' data-imgindex='8' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g009-550.jpg?1732266222'><p>Figure 9</p></div> --- <div class='openpopupgallery' data-imgindex='9' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g010-550.jpg?1732266223'><p>Figure 10</p></div> --- <div class='openpopupgallery' data-imgindex='10' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g011-550.jpg?1732266224'><p>Figure 11</p></div> --- <div class='openpopupgallery' data-imgindex='11' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g012-550.jpg?1732266226'><p>Figure 12</p></div> --- <div class='openpopupgallery' data-imgindex='12' data-target='article-1526829-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g013-550.jpg?1732266227'><p>Figure 13</p></div></script></div></div><div id="article-1526829-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g001-550.jpg?1732266213" title=" <strong>Figure 1</strong><br/> <p>Simulation domains for state-of-the-art sonic boom prediction. The near-field domain is computed via CFD methods while the far-field domain accounts for the atmospheric variations and is modeled with a combination of ray-tracing and a non-linear wave equation. Adapted from [<a href="#B16-aerospace-11-00962" class="html-bibr">16</a>].</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g002-550.jpg?1732266215" title=" <strong>Figure 2</strong><br/> <p>Details of the CFD computational domain. (<b>a</b>) Unstructured and structured region of the CFD near-field mesh. (<b>b</b>) Computational domain of the CFD near-field simulation.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g003-550.jpg?1732266215" title=" <strong>Figure 3</strong><br/> <p>Definition of the ray-tracing azimuth angles <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math> around an aircraft flying towards the reader. Positive azimuth angles are defined towards port side, negative azimuth angles towards starboard side.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g004-550.jpg?1732266216" title=" <strong>Figure 4</strong><br/> <p>Geometry model of CS1.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g005-550.jpg?1732266217" title=" <strong>Figure 5</strong><br/> <p>CS1 mission profile and associated Angle of Attack.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g006-550.jpg?1732266219" title=" <strong>Figure 6</strong><br/> <p>Properties of the three reference atmospheres for the current study. The pressure profiles of both cases of SBPW3 are almost identical, such that the orange line is hidden by the green one in the pressure plot. The wind velocities in both directions are zero for the windless ISA case.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g007-550.jpg?1732266219" title=" <strong>Figure 7</strong><br/> <p>Extracted near-field pressure signatures from the CFD solution at a radial distance of <math display="inline"><semantics> <mrow> <mi>R</mi> <mo>=</mo> <mn>1</mn> <mi>L</mi> <mo>=</mo> <mn>62</mn> <mspace width="0.166667em"/> <mi mathvariant="normal">m</mi> </mrow> </semantics></math> for the three operating conditions of CS1. The azimuth angle of <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>=</mo> <mn>0</mn> <mo>°</mo> </mrow> </semantics></math> shows the extracted pressure signal below the aircraft (on-track). The right plot shows an exemplary pressure signature extracted at off-track conditions for an azimuth angle of <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>=</mo> <mn>40</mn> <mo>°</mo> </mrow> </semantics></math>.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g008-550.jpg?1732266221" title=" <strong>Figure 8</strong><br/> <p>Computed primary sonic boom footprint for CS1 flying towards east. The marks depict the ground intersection points of the computed rays. The labels show the values of the limiting azimuth angles <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math>. <b>ISA</b> shows the footprint in the windless International Standard Atmosphere, <b>SBPW3 Case 1</b> for the realistic atmosphere from the Third Sonic Boom Prediction Workshop (SBPW3) with a wide range of azimuth angles, and <b>SBPW3 Case 2</b> the SBPW3 case for a realistic atmosphere that is intended to result in a particular wide carpet.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g009-550.jpg?1732266222" title=" <strong>Figure 9</strong><br/> <p>Computed shock wave pressure signatures at ground level for the three operating conditions of CS1 in the International Standard Atmosphere. The azimuth angle of <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>=</mo> <mn>0</mn> <mo>°</mo> </mrow> </semantics></math> shows the on-track sonic boom and the right plot shows an exemplary off-track sonic boom, computed for an azimuth angle of <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>=</mo> <mn>40</mn> <mo>°</mo> </mrow> </semantics></math>.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g010-550.jpg?1732266223" title=" <strong>Figure 10</strong><br/> <p>Computed shock wave pressure signatures at ground level for the three operating conditions of CS1 in the realistic atmospheres of the Third Sonic Boom Prediction Workshop (SBPW3). The left plot depicts case 1 and the right plot depicts case 2. The azimuth angle of <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>=</mo> <mn>0</mn> <mo>°</mo> </mrow> </semantics></math> is plotted with solid lines. Dash-dotted lines show an exemplary off-track sonic boom at an azimuth angle of <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>=</mo> <mn>40</mn> <mo>°</mo> </mrow> </semantics></math>.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g011-550.jpg?1732266224" title=" <strong>Figure 11</strong><br/> <p>Computed acoustic sonic boom carpet as observed at ground level for the three operating conditions of CS1 flying towards east (i.e., towards the reader) in the International Standard Atmosphere. The left plot shows the distribution of peak amplitudes over the sonic boom carpet, and the right plot shows the distribution of Stevens’ Perceived Level of Noise Mk VII.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g012-550.jpg?1732266226" title=" <strong>Figure 12</strong><br/> <p>Computed sonic boom carpet at ground level for the three operating conditions of CS1 flying towards east in the first realistic atmosphere of SBPW3. The left plot shows the distribution of peak amplitudes over the sonic boom carpet, and the right plot shows the distribution of Stevens’ Perceived Level of Noise Mk VII.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/aerospace/aerospace-11-00962/article_deploy/html/images/aerospace-11-00962-g013-550.jpg?1732266227" title=" <strong>Figure 13</strong><br/> <p>Computed sonic boom carpet at ground level for the three operating conditions of CS1 flying towards the east in the second realistic atmosphere of SBPW3. The left plot shows the distribution of peak amplitudes over the sonic boom carpet, and the right plot shows the distribution of Stevens’ Perceived Level of Noise Mk VII.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2226-4310/11/12/962'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1526333" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 31 pages, 1833 KiB </span> <a href="/2076-3417/14/23/10793/pdf?version=1732195370" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Evaluation of the Effects of Body Forces and Diffusion Mechanisms on Droplet Separation in a Two-Phase Annular–Mist Flow" data-journal="applsci"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2076-3417/14/23/10793">Evaluation of the Effects of Body Forces and Diffusion Mechanisms on Droplet Separation in a Two-Phase Annular–Mist Flow</a> <div class="authors"> by <span class="inlineblock "><strong>Oktawia Dolna</strong></span> </div> <div class="color-grey-dark"> <em>Appl. Sci.</em> <b>2024</b>, <em>14</em>(23), 10793; <a href="https://doi.org/10.3390/app142310793">https://doi.org/10.3390/app142310793</a> - 21 Nov 2024 </div> Viewed by 211 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> For decades, studies have been conducted on the efficiency of gas purification processes with wet scrubbers, including the Venturi scrubbers, and this is the most commonly addressed issue in the field literature. The Venturi scrubber consists of a Venturi nozzle and a cyclone. <a href="#" data-counterslink = "https://www.mdpi.com/2076-3417/14/23/10793/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> For decades, studies have been conducted on the efficiency of gas purification processes with wet scrubbers, including the Venturi scrubbers, and this is the most commonly addressed issue in the field literature. The Venturi scrubber consists of a Venturi nozzle and a cyclone. The article addresses the empirical and analytical studies on the annular–mist flow regime that exists in the throat of the Venturi nozzle with a square cross-section. The uniform distribution of droplets over the cross-section area of the Venturi’s throat strongly correlates with the efficiency of the gas cleaning process using Venturi scrubbers. Due to the above, studies on the physics of the phenomena that affect the quantity of small droplets present in the core of the flow are highly justified. The influence of body forces and diffusive mechanisms impacting the number of droplets in the core flow were investigated to tackle the problem in question. Consequently, the fractions of droplets susceptible to turbulent or inertial–turbulent diffusion mechanisms can now be predicted using the outcomes of the research carried out. The droplets were divided into three fractions that differed by their sizes as follows: airborne droplets I confirm thar italic can be removed in all cases. <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>d</mi><mi>d</mi></msub><mo>≤</mo></mrow></semantics></math></inline-formula> 10 µm), medium-sized droplets <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>d</mi><mi>d</mi></msub><mspace width="3.33333pt"></mspace><mo>≤</mo></mrow></semantics></math></inline-formula> 20 µm), and largest droplets <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><msub><mi>d</mi><mi>d</mi></msub></mrow></semantics></math></inline-formula> = (50 − 150) µm). The estimation of diffusion coefficients <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mfenced separators="" open="(" close=")"><msub><mi>ε</mi><mrow><mi>d</mi><mo>,</mo><mi>M</mi></mrow></msub><mo>,</mo><msub><mi>ε</mi><mrow><mi>d</mi><mo>,</mo><mi>r</mi><mi>e</mi><mi>f</mi></mrow></msub></mfenced></semantics></math></inline-formula> and stopping distances <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mfenced separators="" open="(" close=")"><msub><mi>s</mi><mi>M</mi></msub><mo>,</mo><msub><mi>s</mi><mrow><mi>r</mi><mi>e</mi><mi>f</mi></mrow></msub></mfenced></semantics></math></inline-formula> of all fractions of droplets was carried out with the inclusion <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mfenced separators="" open="(" close=")"><msub><mi>ε</mi><mrow><mi>d</mi><mo>,</mo><mi>M</mi></mrow></msub><mo>,</mo><msub><mi>s</mi><mi>M</mi></msub></mfenced></semantics></math></inline-formula> and exclusion <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mfenced separators="" open="(" close=")"><msub><mi>ε</mi><mrow><mi>d</mi><mo>,</mo><mi>r</mi><mi>e</mi><mi>f</mi></mrow></msub><mo>,</mo><msub><mi>s</mi><mrow><mi>r</mi><mi>e</mi><mi>f</mi></mrow></msub></mfenced></semantics></math></inline-formula> of the Magnus lift force <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mfenced open="(" close=")"><mi>M</mi></mfenced></semantics></math></inline-formula> in equations of both the droplet’s stopping distance and its diffusion coefficient. The outcomes revealed that the inclusion of the <i>M</i> force translates significantly to the growth in values of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>ε</mi><mrow><mi>d</mi><mo>,</mo><mi>M</mi></mrow></msub><mo>,</mo><msub><mi>s</mi><mi>M</mi></msub></mrow></semantics></math></inline-formula> compared to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>ε</mi><mrow><mi>d</mi><mo>,</mo><mi>r</mi><mi>e</mi><mi>f</mi></mrow></msub><mo>,</mo><msub><mi>s</mi><mrow><mi>r</mi><mi>e</mi><mi>f</mi></mrow></msub></mrow></semantics></math></inline-formula>. Hence, it was concluded that the <i>M</i> force impacts the increase in the speed of the diffusion of the droplets with <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>d</mi><mi>d</mi></msub><mo>≥</mo></mrow></semantics></math></inline-formula> 16.45 µm, which is favorable. Hence, the inertial–turbulent diffusion of larger droplets and the turbulent diffusion of medium ones seem to be supported by the <i>M</i> force. The local velocity gradient, which varied within the region of the flow’s hydraulic stabilization also impacted the mass content of droplets with diameter <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>d</mi><mi>d</mi></msub><mspace width="3.33333pt"></mspace><mo>≤</mo></mrow></semantics></math></inline-formula> 10 µm in the core of the flow. As the flow development progressed, the number of droplets measured at <i>n</i> = 5 Hz varied nonlinearly up to the point where the boundary layer thickness reached the channel radius. The quantity of small droplets in the main flow was significantly influenced by turbulence intensity <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>T</mi><mi>u</mi><mo>)</mo></mrow></semantics></math></inline-formula>. The desired high number of small droplets in the core of the flow (mist flow) was estimated empirically, and it was achieved when gas flows at high speed and has a mean value of Tu. The former benefits the efficiency of gas purification. Investigations on the effects of body forces of inertia of the continuous phase on the separation of droplets with diameters of a few microns and sub-microns from the flow were performed by employing two channel elbows, namely <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>e</mi><mn>4</mn></msub></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>e</mi><mn>1</mn></msub></semantics></math></inline-formula>. The curved channels were subsequently mounted at the end of the straight channel (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi><mi>C</mi><msub><mi>h</mi><mn>2</mn></msub></mrow></semantics></math></inline-formula>). The curvature angle (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>α</mi></semantics></math></inline-formula>) of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>e</mi><mn>4</mn></msub></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>e</mi><mn>1</mn></msub></semantics></math></inline-formula> equaled <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>90</mn><msup><mspace width="3.33333pt"></mspace><mo>∘</mo></msup></mrow></semantics></math></inline-formula>C and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>30</mn><msup><mspace width="3.33333pt"></mspace><mo>∘</mo></msup></mrow></semantics></math></inline-formula>C, respectively. The number of droplets existing in the mist flow was higher in value, as desired, when the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>e</mi><mn>4</mn></msub></semantics></math></inline-formula> was used, unlike <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>e</mi><mn>1</mn></msub></semantics></math></inline-formula>. Two-dimensional flow fields of the mist have been obtained using the Particle Imaging Velocimetry (PIV) technique and analyzed further . Topas LAP 332 Aerosol Spectrometer was used for the determination of droplet (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>d</mi><mi>d</mi></msub><mspace width="3.33333pt"></mspace><mo>≤</mo></mrow></semantics></math></inline-formula> 40 µm) size distribution (DSD) and particle concentrations, while the Droplet Size Analyzer D Kamika Instruments (DSA) was exploited to ascertain <i>DSD</i> of droplets with diameter <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>d</mi><mi>d</mi></msub><mo>></mo><mn>40</mn></mrow></semantics></math></inline-formula> µm . <a href="/2076-3417/14/23/10793">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/applsci/special_issues/5W48PH1297 ">Theoretical, Computational and Experimental Fluid Dynamics: Methods and Advanced Applications</a>)<br/> </div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1526322" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 33 pages, 8595 KiB </span> <a href="/1424-8220/24/23/7440/pdf?version=1732266662" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application" data-journal="sensors"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/1424-8220/24/23/7440">A Secure IIoT Environment That Integrates AI-Driven Real-Time Short-Term Active and Reactive Load Forecasting with Anomaly Detection: A Real-World Application</a> <div class="authors"> by <span class="inlineblock "><strong>Md. Ibne Joha</strong>, </span><span class="inlineblock "><strong>Md Minhazur Rahman</strong>, </span><span class="inlineblock "><strong>Md Shahriar Nazim</strong> and </span><span class="inlineblock "><strong>Yeong Min Jang</strong></span> </div> <div class="color-grey-dark"> <em>Sensors</em> <b>2024</b>, <em>24</em>(23), 7440; <a href="https://doi.org/10.3390/s24237440">https://doi.org/10.3390/s24237440</a> - 21 Nov 2024 </div> Viewed by 176 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> The Industrial Internet of Things (IIoT) revolutionizes both industrial and residential operations by integrating AI (artificial intelligence)-driven analytics with real-time monitoring, optimizing energy usage, and significantly enhancing energy efficiency. This study proposes a secure IIoT framework that simultaneously predicts both active and reactive <a href="#" data-counterslink = "https://www.mdpi.com/1424-8220/24/23/7440/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> The Industrial Internet of Things (IIoT) revolutionizes both industrial and residential operations by integrating AI (artificial intelligence)-driven analytics with real-time monitoring, optimizing energy usage, and significantly enhancing energy efficiency. This study proposes a secure IIoT framework that simultaneously predicts both active and reactive loads while also incorporating anomaly detection. The system is optimized for real-time deployment on an edge server, such as a single-board computer (SBC), as well as on a cloud or centralized server. It ensures secure and reliable industrial operations by integrating smart data acquisition systems with real-time monitoring, control, and protective measures. We propose a Temporal Convolutional Networks-Gated Recurrent Unit-Attention (TCN-GRU-Attention) model to predict both active and reactive loads, which demonstrates superior performance compared to other conventional models. The performance metrics for active load forecasting are 0.0183 Mean Squared Error (MSE), 0.1022 Mean Absolute Error (MAE), and 0.1354 Root Mean Squared Error (RMSE), while for reactive load forecasting, the metrics are 0.0202 (MSE), 0.1077 (MAE), and 0.1422 (RMSE). Furthermore, we introduce an optimized Isolation Forest model for anomaly detection that considers the transient conditions of appliances when identifying irregular behavior. The model demonstrates very promising performance, with the average performance metrics for all appliances using this Isolation Forest model being 95% for Precision, 98% for Recall, 96% for F1 Score, and nearly 100% for Accuracy. To secure the entire system, Transport Layer Security (TLS) and Secure Sockets Layer (SSL) security protocols are employed, along with hash-encoded encrypted credentials for enhanced protection. <a href="/1424-8220/24/23/7440">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Section <a href="/journal/sensors/sections/internet_of_things">Internet of Things</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/1424-8220/24/23/7440/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1526322"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1526322"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1526322" data-cycle-prev="#prev1526322" 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src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g010-550.jpg?1732266853'><p>Figure 10</p></div> --- <div class='openpopupgallery' data-imgindex='10' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g011-550.jpg?1732266854'><p>Figure 11</p></div> --- <div class='openpopupgallery' data-imgindex='11' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g012-550.jpg?1732266856'><p>Figure 12</p></div> --- <div class='openpopupgallery' data-imgindex='12' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g013-550.jpg?1732266857'><p>Figure 13</p></div> --- <div class='openpopupgallery' 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src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g017-550.jpg?1732266862'><p>Figure 17</p></div> --- <div class='openpopupgallery' data-imgindex='17' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g018-550.jpg?1732266863'><p>Figure 18</p></div> --- <div class='openpopupgallery' data-imgindex='18' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g019-550.jpg?1732266864'><p>Figure 19</p></div> --- <div class='openpopupgallery' data-imgindex='19' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g020-550.jpg?1732266865'><p>Figure 20</p></div> --- <div class='openpopupgallery' data-imgindex='20' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g021-550.jpg?1732266866'><p>Figure 21</p></div> --- <div class='openpopupgallery' data-imgindex='21' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g022-550.jpg?1732266867'><p>Figure 22</p></div> --- <div class='openpopupgallery' data-imgindex='22' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g023-550.jpg?1732266869'><p>Figure 23</p></div> --- <div class='openpopupgallery' data-imgindex='23' data-target='article-1526322-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g024-550.jpg?1732266872'><p>Figure 24</p></div></script></div></div><div id="article-1526322-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g001-550.jpg?1732266845" title=" <strong>Figure 1</strong><br/> <p>Proposed system architecture.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g002-550.jpg?1732266846" title=" <strong>Figure 2</strong><br/> <p>Proposed architecture for the edge IIoT layer.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g003-550.jpg?1732266847" title=" <strong>Figure 3</strong><br/> <p>Proposed architecture for the cloud IIoT layer.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g004-550.jpg?1732266848" title=" <strong>Figure 4</strong><br/> <p>A comprehensive workflow for developing a load forecasting AI model.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g005-550.jpg?1732266849" title=" <strong>Figure 5</strong><br/> <p>A comprehensive workflow for developing an anomaly detection AI model.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g006-550.jpg?1732266850" title=" <strong>Figure 6</strong><br/> <p>(<b>a</b>) illustrates the overall model architecture, while (<b>b</b>) shows the arrangement of the TCN and GRU layers.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g007-550.jpg?1732266851" title=" <strong>Figure 7</strong><br/> <p>A single TCN block architecture.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g008-550.jpg?1732266852" title=" <strong>Figure 8</strong><br/> <p>The architecture of a single GRU layer.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g009-550.jpg?1732266852" title=" <strong>Figure 9</strong><br/> <p>A detailed process for securing an MQTT broker.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g010-550.jpg?1732266853" title=" <strong>Figure 10</strong><br/> <p>A comprehensive process for securing the Node-RED server.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g011-550.jpg?1732266854" title=" <strong>Figure 11</strong><br/> <p>Configuration of the edge IIoT layer.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g012-550.jpg?1732266856" title=" <strong>Figure 12</strong><br/> <p>Configuration of the cloud or centralized IIoT layer.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g013-550.jpg?1732266857" title=" <strong>Figure 13</strong><br/> <p>Visual representation of a historical active and reactive power consumption dataset.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g014-550.jpg?1732266859" title=" <strong>Figure 14</strong><br/> <p>Actual versus predicted active power using the TCN-GRU-attention model.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g015-550.jpg?1732266860" title=" <strong>Figure 15</strong><br/> <p>Actual versus predicted reactive power using the TCN-GRU-attention model.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g016-550.jpg?1732266861" title=" <strong>Figure 16</strong><br/> <p>Detected anomalies in the mini PC power consumption data.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g017-550.jpg?1732266862" title=" <strong>Figure 17</strong><br/> <p>Detected anomalies in the PC power consumption data.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g018-550.jpg?1732266863" title=" <strong>Figure 18</strong><br/> <p>Detected anomalies in the monitor power consumption data.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g019-550.jpg?1732266864" title=" <strong>Figure 19</strong><br/> <p>Detected anomalies in the refrigerator power consumption data.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g020-550.jpg?1732266865" title=" <strong>Figure 20</strong><br/> <p>Detected anomalies in overall total power (Home 01) consumption data.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g021-550.jpg?1732266866" title=" <strong>Figure 21</strong><br/> <p>MQTT broker security verification.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g022-550.jpg?1732266867" title=" <strong>Figure 22</strong><br/> <p>Anomaly detection alert notification.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g023-550.jpg?1732266869" title=" <strong>Figure 23</strong><br/> <p>Cloud IIoT layer interface.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/sensors/sensors-24-07440/article_deploy/html/images/sensors-24-07440-g024-550.jpg?1732266872" title=" <strong>Figure 24</strong><br/> <p>Edge computing on the Jetson Nano board.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1424-8220/24/23/7440'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1526167" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 21 pages, 4894 KiB </span> <a href="/2227-7080/12/12/236/pdf?version=1732188717" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="An Analytical Model for the Plastic Bending of Anisotropic Sheet Materials, Incorporating the Strain-Hardening Effect" data-journal="technologies"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2227-7080/12/12/236">An Analytical Model for the Plastic Bending of Anisotropic Sheet Materials, Incorporating the Strain-Hardening Effect</a> <div class="authors"> by <span class="inlineblock "><strong>Yaroslav Erisov</strong>, </span><span class="inlineblock "><strong>Alexander Kuzin</strong> and </span><span class="inlineblock "><strong>Andry Sedelnikov</strong></span> </div> <div class="color-grey-dark"> <em>Technologies</em> <b>2024</b>, <em>12</em>(12), 236; <a href="https://doi.org/10.3390/technologies12120236">https://doi.org/10.3390/technologies12120236</a> - 21 Nov 2024 </div> Viewed by 227 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> This study develops an analytical model for the plastic bending of anisotropic sheet materials, incorporating strain-hardening effects. The model, experimentally validated with aluminum alloy samples and digital image correlation, accurately predicts stress–strain distributions, bending moments, and thinning behavior in the bending processes. The <a href="#" data-counterslink = "https://www.mdpi.com/2227-7080/12/12/236/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> This study develops an analytical model for the plastic bending of anisotropic sheet materials, incorporating strain-hardening effects. The model, experimentally validated with aluminum alloy samples and digital image correlation, accurately predicts stress–strain distributions, bending moments, and thinning behavior in the bending processes. The results reveal that while plastic anisotropy significantly increases the strain intensity, enhancing it by up to 15% on the inner surface relative to the outer under identical bending radius, it does not affect the position of the neutral layer. Strain hardening, on the other hand, raises the bending moment by approximately 12% and contributes to material thinning, which can reach 3% at smaller bend radii. Furthermore, quantitative analysis shows that decreasing the bend radius intensifies the strain, impacting the final geometry of the workpiece. These findings provide valuable insights for optimizing die design and material selection in forming processes involving anisotropic materials, enabling engineers to more precisely control the force requirements and product dimensions in applications where accurate bending characteristics are critical. <a href="/2227-7080/12/12/236">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/technologies/special_issues/F90D1361R3 ">Technological Advances in Science, Medicine, and Engineering 2024</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2227-7080/12/12/236/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1526167"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1526167"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1526167" data-cycle-prev="#prev1526167" data-cycle-progressive="#images1526167" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1526167-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g001-550.jpg?1732188815" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1526167" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g002-550.jpg?1732188816'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g003-550.jpg?1732188817'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g004-550.jpg?1732188819'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g005-550.jpg?1732188820'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g006a-550.jpg?1732188822'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g006b-550.jpg?1732188825'><p>Figure 6 Cont.</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g007-550.jpg?1732188826'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='8' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g008-550.jpg?1732188827'><p>Figure 8</p></div> --- <div class='openpopupgallery' data-imgindex='9' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g009-550.jpg?1732188828'><p>Figure 9</p></div> --- <div class='openpopupgallery' data-imgindex='10' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g010-550.jpg?1732188828'><p>Figure 10</p></div> --- <div class='openpopupgallery' data-imgindex='11' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g011-550.jpg?1732188829'><p>Figure 11</p></div> --- <div class='openpopupgallery' data-imgindex='12' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g012-550.jpg?1732188830'><p>Figure 12</p></div> --- <div class='openpopupgallery' data-imgindex='13' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g013-550.jpg?1732188830'><p>Figure 13</p></div> --- <div class='openpopupgallery' data-imgindex='14' data-target='article-1526167-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g014-550.jpg?1732188831'><p>Figure 14</p></div></script></div></div><div id="article-1526167-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g001-550.jpg?1732188815" title=" <strong>Figure 1</strong><br/> <p>There is a distribution of materials based on their hardening ability (<b>a</b>) and plastic anisotropy of properties (<b>b</b>).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g002-550.jpg?1732188816" title=" <strong>Figure 2</strong><br/> <p>There is a schematic of the stressed and deformed state during circular bending considering the zone of non-monotonic deformation.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g003-550.jpg?1732188817" title=" <strong>Figure 3</strong><br/> <p>There is a cross-section of the material particle of the bending sheet in a plane perpendicular to the bend edge: before deformation (<b>left</b>) and after deformation (<b>right</b>).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g004-550.jpg?1732188819" title=" <strong>Figure 4</strong><br/> <p>Drawings (<b>a</b>) and a photo (<b>b</b>) of the experimental tooling for the bending process (<b>left part</b>—initial state; <b>right part</b>—state at the end of bending): 1—shank; 2—upper plate; 3—punch; 4—lower plate and die; 5—guide column; 6—bolt; 7—billet.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g005-550.jpg?1732188820" title=" <strong>Figure 5</strong><br/> <p>General view of the test bench: 1—universal testing machine TIRAtest 28300; 2—non-contact strain measurement system Vic-2D; 3—single-operating die for two-angle bending.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g006a-550.jpg?1732188822" title=" <strong>Figure 6</strong><br/> <p>Distribution of tangential (<b>a</b>) and radial (<b>b</b>) strains, and strain intensity (<b>c</b>).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g006b-550.jpg?1732188825" title=" <strong>Figure 6 Cont.</strong><br/> <p>Distribution of tangential (<b>a</b>) and radial (<b>b</b>) strains, and strain intensity (<b>c</b>).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g007-550.jpg?1732188826" title=" <strong>Figure 7</strong><br/> <p>Comparison of calculation (lines) and experimental results (points): strain intensity (<b>a</b>), and tangential and radial (<b>b</b>) strains.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g008-550.jpg?1732188827" title=" <strong>Figure 8</strong><br/> <p>The dependence of strain intensity on the bending radius of a workpiece made of 8011A alloy.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g009-550.jpg?1732188828" title=" <strong>Figure 9</strong><br/> <p>The dependence of geometric parameters of the bending process for a workpiece made of 8011A alloy on the bending radius: radii of the neutral surfaces (<b>a</b>) and thinning of the workpiece (<b>b</b>).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g010-550.jpg?1732188828" title=" <strong>Figure 10</strong><br/> <p>The effect of hardening on strain intensity during bending of an isotropic billet (black—<span class="html-italic">n</span> = 0; red—<span class="html-italic">n</span> = 0.15; green—<span class="html-italic">n</span> = 0.30).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g011-550.jpg?1732188829" title=" <strong>Figure 11</strong><br/> <p>Influence of hardening on the radii of the neutral stress and the final deformation layers (<b>a</b>) and thickness (<b>b</b>) during the bending of an isotropic billet (black—<span class="html-italic">n</span> = 0; red—<span class="html-italic">n</span> = 0.15; green—<span class="html-italic">n</span> = 0.30).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g012-550.jpg?1732188830" title=" <strong>Figure 12</strong><br/> <p>Influence of hardening on the bending moment during bending of an isotropic billet (black—<span class="html-italic">n</span> = 0; red—<span class="html-italic">n</span> = 0.15; green—<span class="html-italic">n</span> = 0.30).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g013-550.jpg?1732188830" title=" <strong>Figure 13</strong><br/> <p>Influence of the anisotropy on strain intensity during bending of an anisotropic billet (black—<span class="html-italic">β</span> = 0.55; red—<span class="html-italic">β</span> = 1.15; green—<span class="html-italic">β</span> = 2.15).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/technologies/technologies-12-00236/article_deploy/html/images/technologies-12-00236-g014-550.jpg?1732188831" title=" <strong>Figure 14</strong><br/> <p>Influence of the anisotropy on the bending moment during bending of an anisotropic billet (black—<span class="html-italic">β</span> = 0.55; red—<span class="html-italic">β</span> = 1.15; green—<span class="html-italic">β</span> = 2.15).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2227-7080/12/12/236'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1526000" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 29 pages, 1256 KiB </span> <a href="/2504-2289/8/12/167/pdf?version=1732183227" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Aspect-Based Sentiment Analysis of Patient Feedback Using Large Language Models" data-journal="BDCC"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2504-2289/8/12/167">Aspect-Based Sentiment Analysis of Patient Feedback Using Large Language Models</a> <div class="authors"> by <span class="inlineblock "><strong>Omer S. Alkhnbashi</strong>, </span><span class="inlineblock "><strong>Rasheed Mohammad</strong> and </span><span class="inlineblock "><strong>Mohammad Hammoudeh</strong></span> </div> <div class="color-grey-dark"> <em>Big Data Cogn. Comput.</em> <b>2024</b>, <em>8</em>(12), 167; <a href="https://doi.org/10.3390/bdcc8120167">https://doi.org/10.3390/bdcc8120167</a> - 21 Nov 2024 </div> Viewed by 201 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> Online medical forums have emerged as vital platforms for patients to share their experiences and seek advice, providing a valuable, cost-effective source of feedback for medical service management. This feedback not only measures patient satisfaction and improves health service quality but also offers <a href="#" data-counterslink = "https://www.mdpi.com/2504-2289/8/12/167/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> Online medical forums have emerged as vital platforms for patients to share their experiences and seek advice, providing a valuable, cost-effective source of feedback for medical service management. This feedback not only measures patient satisfaction and improves health service quality but also offers crucial insights into the effectiveness of medical treatments, pain management strategies, and alternative therapies. This study systematically identifies and categorizes key aspects of patient experiences, emphasizing both positive and negative sentiments expressed in their narratives. We collected a dataset of approximately 15,000 entries from various sections of the widely used medical forum, patient.info. Our innovative approach integrates content analysis with aspect-based sentiment analysis, deep learning techniques, and a large language model (LLM) to analyze these data. Our methodology is designed to uncover a wide range of aspect types reflected in patient feedback. The analysis revealed seven distinct aspect types prevalent in the feedback, demonstrating that deep learning models can effectively predict these aspect types and their corresponding sentiment values. Notably, the LLM with few-shot learning outperformed other models. Our findings enhance the understanding of patient experiences in online forums and underscore the utility of advanced analytical techniques in extracting meaningful insights from unstructured patient feedback, offering valuable implications for healthcare providers and medical service management. <a href="/2504-2289/8/12/167">Full article</a> </div> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2504-2289/8/12/167/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1526000"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1526000"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1526000" data-cycle-prev="#prev1526000" data-cycle-progressive="#images1526000" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1526000-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/BDCC/BDCC-08-00167/article_deploy/html/images/BDCC-08-00167-g001-550.jpg?1732183308" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1526000" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1526000-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/BDCC/BDCC-08-00167/article_deploy/html/images/BDCC-08-00167-g002-550.jpg?1732183309'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1526000-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/BDCC/BDCC-08-00167/article_deploy/html/images/BDCC-08-00167-g003-550.jpg?1732183310'><p>Figure 3</p></div></script></div></div><div id="article-1526000-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/BDCC/BDCC-08-00167/article_deploy/html/images/BDCC-08-00167-g001-550.jpg?1732183308" title=" <strong>Figure 1</strong><br/> <p>A conceptual architectural diagram for the proposed methodology.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2504-2289/8/12/167'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/BDCC/BDCC-08-00167/article_deploy/html/images/BDCC-08-00167-g002-550.jpg?1732183309" title=" <strong>Figure 2</strong><br/> <p>Distribution of bias counts in patient feedback.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2504-2289/8/12/167'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/BDCC/BDCC-08-00167/article_deploy/html/images/BDCC-08-00167-g003-550.jpg?1732183310" title=" <strong>Figure 3</strong><br/> <p>Receiver Operating Characteristic (ROC).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2504-2289/8/12/167'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1525461" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 26 pages, 9055 KiB </span> <a href="/1999-4915/16/11/1803/pdf?version=1732116599" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Phylogenomic Signatures of a Lineage of Vesicular Stomatitis Indiana Virus Circulating During the 2019–2020 Epidemic in the United States" data-journal="viruses"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/1999-4915/16/11/1803">Phylogenomic Signatures of a Lineage of Vesicular Stomatitis Indiana Virus Circulating During the 2019–2020 Epidemic in the United States</a> <div class="authors"> by <span class="inlineblock "><strong>Selene Zarate</strong>, </span><span class="inlineblock "><strong>Miranda Bertram</strong>, </span><span class="inlineblock "><strong>Case Rodgers</strong>, </span><span class="inlineblock "><strong>Kirsten Reed</strong>, </span><span class="inlineblock "><strong>Angela Pelzel-McCluskey</strong>, </span><span class="inlineblock "><strong>Ninnet Gomez-Romero</strong>, </span><span class="inlineblock "><strong>Luis L. Rodriguez</strong>, </span><span class="inlineblock "><strong>Christie Mayo</strong>, </span><span class="inlineblock "><strong>Chad Mire</strong>, </span><span class="inlineblock "><strong>Sergei L. Kosakovsky Pond</strong> and </span><span class="inlineblock "><strong>Lauro Velazquez-Salinas</strong></span> </div> <div class="color-grey-dark"> <em>Viruses</em> <b>2024</b>, <em>16</em>(11), 1803; <a href="https://doi.org/10.3390/v16111803">https://doi.org/10.3390/v16111803</a> - 20 Nov 2024 </div> Viewed by 380 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> For the first time, we describe phylogenomic signatures of an epidemic lineage of vesicular stomatitis Indiana virus (VSIV). We applied multiple evolutionary analyses to a dataset of 87 full-length genome sequences representing the circulation of an epidemic VSIV lineage in the US between <a href="#" data-counterslink = "https://www.mdpi.com/1999-4915/16/11/1803/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> For the first time, we describe phylogenomic signatures of an epidemic lineage of vesicular stomatitis Indiana virus (VSIV). We applied multiple evolutionary analyses to a dataset of 87 full-length genome sequences representing the circulation of an epidemic VSIV lineage in the US between 2019 and 2020. Based on phylogenetic analyses, we predicted the ancestral relationship of this lineage with a specific group of isolates circulating in the endemic zone of Chiapas, Mexico. Subsequently, our findings indicate that the lineage diversified into at least four different subpopulations during its circulation in the US. We identified single nucleotide polymorphisms (SNPs) that differentiate viral subpopulations and assessed their potential relevance using comparative phylogenetic methods, highlighting the preponderance of synonymous mutations during the differentiation of these populations. Purifying selection was the main evolutionary force favoring the conservation of this epidemic phenotype, with P and G genes as the main drivers of the evolution of this lineage. Our analyses identified multiple codon sites under positive selection and the association of these sites with specific functional domains at P, M, G, and L proteins. Based on ancestral reconstruction analyses, we showed the potential relevance of some of the sites identified under positive selection to the adaptation of the epidemic lineage at the population level. Finally, using a representative group of viruses from Colorado, we established a positive correlation between genetic and geographical distances, suggesting that positive selection on specific codon positions might have favored the adaptation of different subpopulations to circulation in specific geographical settings. Collectively, our study reveals the complex dynamics that accompany the evolution of an epidemic lineage of VSIV in nature. Our analytical framework provides a model for conducting future evolutionary analyses. The ultimate goal is to support the implementation of an early warning system for vesicular stomatitis virus in the US, enabling early detection of epidemic precursors from Mexico. <a href="/1999-4915/16/11/1803">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Section <a href="/journal/viruses/sections/animal_viruses">Animal Viruses</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/1999-4915/16/11/1803/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1525461"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1525461"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1525461" data-cycle-prev="#prev1525461" data-cycle-progressive="#images1525461" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1525461-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g001-550.jpg?1732116668" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1525461" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1525461-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g002-550.jpg?1732116670'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1525461-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g003-550.jpg?1732116672'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1525461-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g004-550.jpg?1732116673'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1525461-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g005-550.jpg?1732116676'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1525461-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g006-550.jpg?1732116681'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1525461-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g007-550.jpg?1732116685'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1525461-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g008-550.jpg?1732116688'><p>Figure 8</p></div></script></div></div><div id="article-1525461-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g001-550.jpg?1732116668" title=" <strong>Figure 1</strong><br/> <p>Identifying the ancestral relationship of the VSIV Epidemic lineage in the US. (<b>A</b>) a maximum likelihood tree inferred using 98 full-length genomic VSIV sequences, and the relationship between the epidemic VSIV lineage circulating in the USA during 2019–2020 and multiple earlier isolates from GenBank is shown. Branches are labeled with bootstrap support values. NA: North America, CA: Central America, SA: South America. Percentages in parentheses represent the average pairwise nucleotide identity between epidemic lineage sequences and the corresponding older isolate. (<b>B</b>) Closeup from the phylogenetic analysis showing the ancestral relationship between the epidemic lineage and isolates from Chiapas, Mexico, IN0817CPB, and IN1017CPB.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1999-4915/16/11/1803'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g002-550.jpg?1732116670" title=" <strong>Figure 2</strong><br/> <p>Population structure of the VSIV epidemic lineage 2019–2020 in the US. (<b>A</b>) to show the main events of diversification in the epidemic lineage during its circulation in the US, a phylogenetic analysis was conducted through maximum likelihood using a total of 87 full-length sequences representing the circulation of an epidemic VSIV lineage in the US between 2019 and 2020. (<b>B</b>) Fixation index test (FST) analysis supporting the existence of four divergent groups.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1999-4915/16/11/1803'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g003-550.jpg?1732116672" title=" <strong>Figure 3</strong><br/> <p>Metadata-driven comparative analysis. The SNPs associated with specific codon sites that are significantly different from the null expectation among phylogenetic groups (<span class="html-italic">p</span>-value of 5 × 10<sup>−6</sup>) were identified by the Metadata-driven comparative analysis. G1 to G4 columns represent the codon composition of different phylogenetic groups. Specific SNPs at each codon are highlighted in capital letters. The column position indicates the nucleotide position in the coding sequence at specific genes where the SNP was identified. Parentheses on the left (right) indicate the amino acid encoded and the number of sequences associated with this codon at any specific group, respectively.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1999-4915/16/11/1803'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g004-550.jpg?1732116673" title=" <strong>Figure 4</strong><br/> <p>A partial ordering of VSV genes based on their average conservation (mean ω)<b>.</b> A directed arrow between gene X and Y is a statement that ω (X) &gt; ω (Y) with statistical significance (<span class="html-italic">p</span> ≤ 0.05).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1999-4915/16/11/1803'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g005-550.jpg?1732116676" title=" <strong>Figure 5</strong><br/> <p>Identification of codon sites evolving under positive selection in natural populations of VSIV. The figure shows the 42 codons under positive selection identified at multiple genes VSIV by MEME analysis. α: synonymous substitution rate, β<sup>1</sup>:Non-synonymous substitution rate for the negative/neutral evolution component 1, p<sup>1</sup>: mixture distribution weight allocated to negative/neutral evolution component 1, β<sup>+</sup>:non-synonymous substitution rate at a site for the positive selection component, p<sup>+</sup>:mixture distribution weight allocated to the positive selection component, LTR: likelihood test statistics for episodic diversification, i.e., p<sup>+</sup> &gt; 0, <span class="html-italic">p</span>-value: asymptotic p-value for episodic diversification, i.e., p<sup>+</sup> &gt; 0, # branches: the (very approximate and rough) estimate of how many branches have been under selection at this site, i.e., had an empirical Bayes factor of 100 or more for the β<sup>+</sup> rate, q: and class: selection kind.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1999-4915/16/11/1803'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g006-550.jpg?1732116681" title=" <strong>Figure 6</strong><br/> <p>Functional gene evolutionary dynamics of the epidemic VSIV lineage. Graphics represent the dN-dS ratios for specific codon sites at (<b>A</b>) Gene N (nucleoprotein), (<b>B</b>) Gene P (Phosphoprotein), (<b>C</b>) Gene M (Matrix protein), (<b>D</b>) Gene G (Glycoprotein), and (<b>E</b>) Gene L (Large polymerase). Analyses were conducted using SLAC. Codon sites under positive and purifying selection (identified by MEME and FEL) are highlighted at specific black bars with green and red asterisks, respectively. Similarly, the specific gene location of these codons is indicated by blue and red numbers. Bars highlighted by black asterisks and numbers indicate codon sites identified as relevant by the Metadata-driven comparative analysis but evolving under neutrality based on MEME and FEL analyses. Information about functional sites, relevant motifs, and residues encoded by multiple codon sites at different genes are also indicated. Numbers in parentheses indicate codon positions linked with key residues associated with diverse functions in the viral proteome. The information about functional sites at different viral proteins was obtained from the following publications: Nucleoprotein [<a href="#B45-viruses-16-01803" class="html-bibr">45</a>,<a href="#B46-viruses-16-01803" class="html-bibr">46</a>,<a href="#B51-viruses-16-01803" class="html-bibr">51</a>,<a href="#B52-viruses-16-01803" class="html-bibr">52</a>,<a href="#B53-viruses-16-01803" class="html-bibr">53</a>], Phosphoprotein [<a href="#B54-viruses-16-01803" class="html-bibr">54</a>,<a href="#B55-viruses-16-01803" class="html-bibr">55</a>,<a href="#B56-viruses-16-01803" class="html-bibr">56</a>,<a href="#B57-viruses-16-01803" class="html-bibr">57</a>,<a href="#B58-viruses-16-01803" class="html-bibr">58</a>,<a href="#B59-viruses-16-01803" class="html-bibr">59</a>,<a href="#B60-viruses-16-01803" class="html-bibr">60</a>], Matrix protein [<a href="#B47-viruses-16-01803" class="html-bibr">47</a>,<a href="#B49-viruses-16-01803" class="html-bibr">49</a>,<a href="#B61-viruses-16-01803" class="html-bibr">61</a>,<a href="#B62-viruses-16-01803" class="html-bibr">62</a>,<a href="#B63-viruses-16-01803" class="html-bibr">63</a>], Glycoprotein [<a href="#B50-viruses-16-01803" class="html-bibr">50</a>,<a href="#B64-viruses-16-01803" class="html-bibr">64</a>,<a href="#B65-viruses-16-01803" class="html-bibr">65</a>,<a href="#B66-viruses-16-01803" class="html-bibr">66</a>,<a href="#B67-viruses-16-01803" class="html-bibr">67</a>,<a href="#B68-viruses-16-01803" class="html-bibr">68</a>,<a href="#B69-viruses-16-01803" class="html-bibr">69</a>], and Polymerase [<a href="#B70-viruses-16-01803" class="html-bibr">70</a>,<a href="#B71-viruses-16-01803" class="html-bibr">71</a>,<a href="#B72-viruses-16-01803" class="html-bibr">72</a>,<a href="#B73-viruses-16-01803" class="html-bibr">73</a>,<a href="#B74-viruses-16-01803" class="html-bibr">74</a>].</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1999-4915/16/11/1803'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g007-550.jpg?1732116685" title=" <strong>Figure 7</strong><br/> <p>Correlation between genetic and geographical distances using the Colorado dataset as a model. (<b>A</b>) Geographical distribution showing counties where isolates belonging to different genetic groups were recovered from naturally infected equine samples in Colorado during 2019. The map was developed using the software QGIS (<a href="https://www.qgis.org/en/site/" target="_blank">https://www.qgis.org/en/site/</a>). (<b>B</b>) ANOVA analysis was used as an exploratory method to predict the correlation between genetic and geographical distances. RMSE denotes the root mean square error of the model, while RSq indicates the square of the correlation coefficient, and the FDR Log Worth shows the probability that the correlation between variables was caused by chance, with values higher than 2 indicating dependency between variables.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1999-4915/16/11/1803'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/viruses/viruses-16-01803/article_deploy/html/images/viruses-16-01803-g008-550.jpg?1732116688" title=" <strong>Figure 8</strong><br/> <p>Geographical distribution of isolates displaying codons under positive selection. A constellation plot is shown, depicting the results of a hierarchical cluster analysis based on the latitude and the longitude coordinates where different isolates were collected. Red, green, and purple dots denote isolates belonging to genetic groups 1, 3, and 4, respectively. Different geographical zones determined by ANOVA are indicated. Different codons under positive selection were highlighted next to specific dots to see potential associations between codons at positive selection and their presentation in specific geographical zones. The numbers next to the dots correspond to specific counties and cities in Colorado.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/1999-4915/16/11/1803'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1525396" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 15 pages, 310 KiB </span> <a href="/2075-1680/13/11/809/pdf?version=1732171279" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Mathematical Optimization of Wind Turbine Maintenance Using Repair Rate Thresholds" data-journal="axioms"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2075-1680/13/11/809">Mathematical Optimization of Wind Turbine Maintenance Using Repair Rate Thresholds</a> <div class="authors"> by <span class="inlineblock "><strong>Nataša Kontrec</strong>, </span><span class="inlineblock "><strong>Stefan Panić</strong>, </span><span class="inlineblock "><strong>Jelena Vujaković</strong>, </span><span class="inlineblock "><strong>Dejan Stošović</strong> and </span><span class="inlineblock "><strong>Sergei Khotnenok</strong></span> </div> <div class="color-grey-dark"> <em>Axioms</em> <b>2024</b>, <em>13</em>(11), 809; <a href="https://doi.org/10.3390/axioms13110809">https://doi.org/10.3390/axioms13110809</a> - 20 Nov 2024 </div> Viewed by 238 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> As reliance on wind energy intensifies globally, optimizing the efficiency and reliability of wind turbines is becoming vital. This paper explores sophisticated maintenance strategies, crucial for enhancing the operational sustainability of wind turbines. It introduces an innovative approach to maintenance scheduling that utilizes <a href="#" data-counterslink = "https://www.mdpi.com/2075-1680/13/11/809/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> As reliance on wind energy intensifies globally, optimizing the efficiency and reliability of wind turbines is becoming vital. This paper explores sophisticated maintenance strategies, crucial for enhancing the operational sustainability of wind turbines. It introduces an innovative approach to maintenance scheduling that utilizes a mathematical model incorporating an alternating renewal process for accurately determining repair rate thresholds. These thresholds are important for identifying optimal maintenance timings, thereby averting failures and minimizing downtime. Central to this study are the obtained generalized analytical expressions that can be used to predict the total repair time for an observed entity. Four key lemmas are developed to establish formal proofs for the probability density function (PDF) and cumulative distribution function (CDF) of repair rates, both above and below critical repair rate thresholds. The core innovation of this study lies in the methodological application of PDFs and CDFs to set repair time thresholds that refine maintenance schedules. The model’s effectiveness is illustrated using simulated data based on typical wind turbine components such as gearboxes, generators, and converters, validating its potential for improving system availability and operational readiness. By establishing measurable repair rate thresholds, the model effectively prioritizes maintenance tasks, extending the life of crucial turbine components and ensuring consistent energy output. Beyond enhancing theoretical understanding, this research provides practical insights that could inform broader maintenance strategies across various renewable energy systems, marking a significant advancement in the field of maintenance engineering <a href="/2075-1680/13/11/809">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Special Issue <a href=" /journal/axioms/special_issues/6X5S8752Y7 ">Stochastic Modeling and Optimization Techniques</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2075-1680/13/11/809/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1525396"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1525396"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1525396" data-cycle-prev="#prev1525396" data-cycle-progressive="#images1525396" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1525396-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/axioms/axioms-13-00809/article_deploy/html/images/axioms-13-00809-g001-550.jpg?1732171352" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1525396" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1525396-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/axioms/axioms-13-00809/article_deploy/html/images/axioms-13-00809-g002-550.jpg?1732171354'><p>Figure 2</p></div></script></div></div><div id="article-1525396-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/axioms/axioms-13-00809/article_deploy/html/images/axioms-13-00809-g001-550.jpg?1732171352" title=" <strong>Figure 1</strong><br/> <p>PDF of repair as a function of availability.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-1680/13/11/809'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/axioms/axioms-13-00809/article_deploy/html/images/axioms-13-00809-g002-550.jpg?1732171354" title=" <strong>Figure 2</strong><br/> <p>CDF of repair as a function of availability.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-1680/13/11/809'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1525383" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 24 pages, 3609 KiB </span> <a href="/2073-4360/16/22/3225/pdf?version=1732114053" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="On the Activation Energy of Termination in Radical Polymerization, as Studied at Low Conversion" data-journal="polymers"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2073-4360/16/22/3225">On the Activation Energy of Termination in Radical Polymerization, as Studied at Low Conversion</a> <div class="authors"> by <span class="inlineblock "><strong>Majed M. Alghamdi</strong> and </span><span class="inlineblock "><strong>Gregory T. Russell</strong></span> </div> <div class="color-grey-dark"> <em>Polymers</em> <b>2024</b>, <em>16</em>(22), 3225; <a href="https://doi.org/10.3390/polym16223225">https://doi.org/10.3390/polym16223225</a> - 20 Nov 2024 </div> Viewed by 308 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> The chain-length-dependent nature of the termination reaction in radical polymerization (RP) renders the overall termination rate coefficient, <<i>k</i><sub>t</sub>>, a complex parameter in the usual situation where the radical chain-length distribution is non-uniform. This applies also for the activation energy of <a href="#" data-counterslink = "https://www.mdpi.com/2073-4360/16/22/3225/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> The chain-length-dependent nature of the termination reaction in radical polymerization (RP) renders the overall termination rate coefficient, <<i>k</i><sub>t</sub>>, a complex parameter in the usual situation where the radical chain-length distribution is non-uniform. This applies also for the activation energy of termination, <i>E</i><sub>a</sub>(<<i>k</i><sub>t</sub>>), which we subject to detailed mechanistic investigation for the first time. The experimental side of this work measures <i>E</i><sub>a</sub>(<<i>k</i><sub>t</sub>>) for the dilute-solution, low-conversion, chemically initiated homopolymerization of styrene (ST), methyl methacrylate (MMA), butyl methacrylate, and dodecyl methacrylate. Values of 25–39 kJ mol<sup>−1</sup> are obtained, consistent with strong chain-length-dependent termination (CLDT) for short chains. On other hand, the reanalysis of analogous bulk polymerization data for ST and MMA finds <i>E</i><sub>a</sub>(<<i>k</i><sub>t</sub>>) values of 18–24 kJ mol<sup>−1</sup>, consistent with weak CLDT for long chains. Both these results are as expected from the so-called composite model for CLDT. A simple analytic framework for understanding and predicting <i>E</i><sub>a</sub>(<<i>k</i><sub>t</sub>>) values is presented for the standard RP situation of continuous initiation. All the results of this work can be rationalized via this framework, which clearly establishes that <i>E</i><sub>a</sub>(<<i>k</i><sub>t</sub>>) is determined by far more than just the <i>E</i><sub>a</sub> of radical diffusion. This framework is extended to activation energy for the number-average degree of polymerization, <i>E</i><sub>a</sub>(<i>DP</i><sub>n</sub>), which we measure and successfully scrutinize via our CLDT model. In the final section of this work, we make interesting, testable predictions about <i>E</i><sub>a</sub>(<<i>k</i><sub>t</sub>>) and/or <i>E</i><sub>a</sub>(<i>DP</i><sub>n</sub>) in various RP systems of different natures to those studied here, most notably, systems involving acrylates, continuous photoinitiation, or dominant chain transfer. <a href="/2073-4360/16/22/3225">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Section <a href="/journal/polymers/sections/Polymer_Chemistry">Polymer Chemistry</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2073-4360/16/22/3225/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1525383"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1525383"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1525383" data-cycle-prev="#prev1525383" data-cycle-progressive="#images1525383" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1525383-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-ag-550.jpg?1732175621" alt="" style="border: 0;"><p>Graphical abstract</p></div><script id="images1525383" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g001-550.jpg?1732114227'><p>Figure 1</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g002-550.jpg?1732114228'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g003-550.jpg?1732114229'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g004-550.jpg?1732114231'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g005-550.jpg?1732114232'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g006-550.jpg?1732114233'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g007-550.jpg?1732114234'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='8' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g008-550.jpg?1732114236'><p>Figure 8</p></div> --- <div class='openpopupgallery' data-imgindex='9' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g009-550.jpg?1732114238'><p>Figure 9</p></div> --- <div class='openpopupgallery' data-imgindex='10' data-target='article-1525383-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g010-550.jpg?1732114239'><p>Figure 10</p></div></script></div></div><div id="article-1525383-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-ag-550.jpg?1732175621" title=" <strong>Graphical abstract</strong><br/><strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g001-550.jpg?1732114227" title=" <strong>Figure 1</strong><br/> <p>Fractional conversion (<span class="html-italic">x</span>)-time (<span class="html-italic">t</span>) data from the radical polymerization of styrene (ST) at various temperatures as indicated, where <span class="html-italic">c</span><sub>AIBN</sub> = 0.05 mol L<sup>−1</sup> and <span class="html-italic">c</span><sub>ST</sub> = 0.67 mol L<sup>−1</sup> with ethyl benzene (EBz) as the solvent were used. Points: experimental measurements; lines: best fit for each set of results. Note that the two lines and sets of symbols at 50 and 85 °C represent duplicate runs.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g002-550.jpg?1732114228" title=" <strong>Figure 2</strong><br/> <p>Arrhenius plot for the variation in the overall termination rate coefficient, &lt;<span class="html-italic">k</span><sub>t</sub>&gt;, with temperature, <span class="html-italic">T</span>, for MMA polymerizations initiated by AIBN or BTMHP, as indicated (see <a href="#polymers-16-03225-t001" class="html-table">Table 1</a> for further details on polymerization conditions).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g003-550.jpg?1732114229" title=" <strong>Figure 3</strong><br/> <p>Arrhenius plot for variation in the initiator decomposition rate coefficient, <span class="html-italic">k</span><sub>d</sub>, with temperature, <span class="html-italic">T</span>, for AIBN in various solvents by various workers as follows (from top of legend to bottom): in bulk styrene, by Berger [<a href="#B42-polymers-16-03225" class="html-bibr">42</a>] (presented as <span class="html-italic">fk</span><sub>d</sub> from [<a href="#B8-polymers-16-03225" class="html-bibr">8</a>], where <span class="html-italic">f</span> is initiator efficiency); chlorobenzene, AkzoNobel [<a href="#B33-polymers-16-03225" class="html-bibr">33</a>]; MMA and DMF, Szafko and Feist [<a href="#B49-polymers-16-03225" class="html-bibr">49</a>]; in MMA and in DMF, Moroni [<a href="#B48-polymers-16-03225" class="html-bibr">48</a>]; ethyl acetate, Bawn and Mellish [<a href="#B43-polymers-16-03225" class="html-bibr">43</a>]; ST, Breitenbach and Schindler [<a href="#B52-polymers-16-03225" class="html-bibr">52</a>]; ST/toluene, Moad et al. [<a href="#B47-polymers-16-03225" class="html-bibr">47</a>]; Tâlat-Erben and Bywater, toluene [<a href="#B50-polymers-16-03225" class="html-bibr">50</a>]; in toluene and in benzene, Van Hook and Tobolsky [<a href="#B51-polymers-16-03225" class="html-bibr">51</a>]; benzene, Bawn et al. [<a href="#B43-polymers-16-03225" class="html-bibr">43</a>,<a href="#B44-polymers-16-03225" class="html-bibr">44</a>]; benzene, Krstina et al. [<a href="#B46-polymers-16-03225" class="html-bibr">46</a>]; in cyclohexane and in dichlorobenzene, Moroni [<a href="#B48-polymers-16-03225" class="html-bibr">48</a>]; <span class="html-italic">fk</span><sub>d</sub> in MMA and in ST, Fukuda et al. [<a href="#B53-polymers-16-03225" class="html-bibr">53</a>]; and dodecane, Charton et al. [<a href="#B45-polymers-16-03225" class="html-bibr">45</a>].</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g004-550.jpg?1732114231" title=" <strong>Figure 4</strong><br/> <p>Arrhenius plots for the variation in the overall termination rate coefficient, &lt;<span class="html-italic">k</span><sub>t</sub>&gt;, with temperature, <span class="html-italic">T</span>, for AIBN-initiated bulk polymerisations of MMA (<b>A</b>, left) and ST (<b>B</b>, right). Squares: previously reported values [<a href="#B9-polymers-16-03225" class="html-bibr">9</a>] obtained using <span class="html-italic">fk</span><sub>d</sub> from Berger [<a href="#B42-polymers-16-03225" class="html-bibr">42</a>]; half-filed circles: updated values using <span class="html-italic">fk</span><sub>d</sub> from <a href="#polymers-16-03225-t002" class="html-table">Table 2</a>; lines: best fits for each data set.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g005-550.jpg?1732114232" title=" <strong>Figure 5</strong><br/> <p>Predicted activation energy of the overall termination rate coefficient, <span class="html-italic">E</span><sub>a</sub>(&lt;<span class="html-italic">k</span><sub>t</sub>&gt;), for steady-state MMA, BMA, DMA, and ST polymerization as a function of <span class="html-italic">e</span>, the strength of the chain-length dependence of termination (under conditions of constant <span class="html-italic">c</span><sub>M</sub>, constant <span class="html-italic">c</span><sub>AIBN</sub> and negligible transfer).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g006-550.jpg?1732114233" title=" <strong>Figure 6</strong><br/> <p>Arrhenius plot for the variation in the overall termination rate coefficient, &lt;<span class="html-italic">k</span><sub>t</sub>&gt;, with temperature, <span class="html-italic">T</span>, for the AIBN-initiated, dilute-solution polymerization of ST, MMA, BMA, and DMA, as indicated. Points: experimental values from <a href="#polymers-16-03225-t001" class="html-table">Table 1</a>; lines: best fits for each data set.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g007-550.jpg?1732114234" title=" <strong>Figure 7</strong><br/> <p>SEC distributions of polymer from MMA polymerizations at various temperatures, as indicated, with <span class="html-italic">c</span><sub>M</sub> = 0.67 mol L<sup>−1</sup>, TFT as solvent, and <span class="html-italic">c</span><sub>AIBN</sub> = 0.05 mol L<sup>−1</sup>. Distributions are presented as <span class="html-italic">w</span>(log<span class="html-italic">M</span>), where <span class="html-italic">w</span> is weight fraction and <span class="html-italic">M</span> is molar mass. For ease of comparison, all peak heights have been set equal to 1.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g008-550.jpg?1732114236" title=" <strong>Figure 8</strong><br/> <p>Arrhenius plot for variation in the peak degree of polymerization, <span class="html-italic">DP</span>, with temperature, <span class="html-italic">T</span>, for AIBN-initiated, dilute-solution polymerizations of ST, MMA, BMA, and DMA, as indicated. Points: experimental values; lines: best fits for each data set.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g009-550.jpg?1732114238" title=" <strong>Figure 9</strong><br/> <p>As for <a href="#polymers-16-03225-f005" class="html-fig">Figure 5</a>, except that <span class="html-italic">E</span><sub>a</sub>(<span class="html-italic">k</span><sub>d</sub>) = 0 in order to mimic photoinitiation.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/polymers/polymers-16-03225/article_deploy/html/images/polymers-16-03225-g010-550.jpg?1732114239" title=" <strong>Figure 10</strong><br/> <p>As for <a href="#polymers-16-03225-f005" class="html-fig">Figure 5</a>, except that <span class="html-italic">E</span><sub>a</sub>(<span class="html-italic">k</span><sub>p</sub>) = 17.3 kJ mol<sup>−1</sup> [<a href="#B65-polymers-16-03225" class="html-bibr">65</a>] was used to obtain methyl acrylate (MA) estimates, and <span class="html-italic">E</span><sub>a</sub>(<span class="html-italic">k</span><sub>p</sub>) = 17.9 kJ mol<sup>−1</sup> [<a href="#B66-polymers-16-03225" class="html-bibr">66</a>] for butyl acrylate (BA).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2073-4360/16/22/3225'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1525163" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 13 pages, 3772 KiB </span> <a href="/2075-5309/14/11/3692/pdf?version=1732101116" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="Timber Façade Structures: Using Thermal Analysis to Prognosticate the Ignition Resistance of Flame-Retarded Timber" data-journal="buildings"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2075-5309/14/11/3692">Timber Façade Structures: Using Thermal Analysis to Prognosticate the Ignition Resistance of Flame-Retarded Timber</a> <div class="authors"> by <span class="inlineblock "><strong>Dmitrii A. Korolchenko</strong>, </span><span class="inlineblock "><strong>Nataliya I. Konstantinova</strong> and </span><span class="inlineblock "><strong>Olga N. Korolchenko</strong></span> </div> <div class="color-grey-dark"> <em>Buildings</em> <b>2024</b>, <em>14</em>(11), 3692; <a href="https://doi.org/10.3390/buildings14113692">https://doi.org/10.3390/buildings14113692</a> - 20 Nov 2024 </div> Viewed by 244 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> The development of a methodological approach to detecting the presence of flame retardants in building materials and products and finding their concentration is an essential part of the performance evaluation of flame retardants for timber. The above issue is a relevant constituent of <a href="#" data-counterslink = "https://www.mdpi.com/2075-5309/14/11/3692/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> The development of a methodological approach to detecting the presence of flame retardants in building materials and products and finding their concentration is an essential part of the performance evaluation of flame retardants for timber. The above issue is a relevant constituent of supervision over fire safety compliance at construction facilities. Thermal analysis was used in this research project to (1) detect the presence of flame retardants in timber, and (2) identify methods of their application. Comparative experiments were conducted to detect the presence and effectiveness of flame retardants applied to the surface and inner layers of specimens of timber planken (façade board) at a construction facility. Relevant values, characterizing the thermal decomposition of timber specimens, enable predicting the heat flux rate that triggers ignition. A quick test, conducted to check the flammability of specimens, confirmed the authors’ hypothesis. The study revealed principal (relevant) thermo-analytical criteria for the fire resistance of timber impregnated with combustion retardants using different methods of impregnation. A methodological approach to studying relevant thermo-analytical characteristics was developed to evaluate the efficiency of (1) fire resistance of timber products and (2) fireproofing techniques. Flammability and combustibility of timber impregnated with fire retardants was prognosticated. It was revealed that the proposed methodology can monitor the efficiency of fireproofing applied to façade structures made of pine timber. <a href="/2075-5309/14/11/3692">Full article</a> </div> </div> <div class="belongsTo" style="margin-bottom: 10px;"> (This article belongs to the Collection <a href=" /journal/buildings/topical_collections/Buildings_Fire_Safety ">Buildings and Fire Safety</a>)<br/> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2075-5309/14/11/3692/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1525163"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1525163"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1525163" data-cycle-prev="#prev1525163" data-cycle-progressive="#images1525163" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1525163-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g001-550.jpg?1732101214" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1525163" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g002-550.jpg?1732101215'><p>Figure 2</p></div> --- <div class='openpopupgallery' data-imgindex='2' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g003-550.jpg?1732101216'><p>Figure 3</p></div> --- <div class='openpopupgallery' data-imgindex='3' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g004-550.jpg?1732101217'><p>Figure 4</p></div> --- <div class='openpopupgallery' data-imgindex='4' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g005-550.jpg?1732101219'><p>Figure 5</p></div> --- <div class='openpopupgallery' data-imgindex='5' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g006-550.jpg?1732101221'><p>Figure 6</p></div> --- <div class='openpopupgallery' data-imgindex='6' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g007-550.jpg?1732101223'><p>Figure 7</p></div> --- <div class='openpopupgallery' data-imgindex='7' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g008-550.jpg?1732101224'><p>Figure 8</p></div> --- <div class='openpopupgallery' data-imgindex='8' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g009-550.jpg?1732101226'><p>Figure 9</p></div> --- <div class='openpopupgallery' data-imgindex='9' data-target='article-1525163-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g010-550.jpg?1732101228'><p>Figure 10</p></div></script></div></div><div id="article-1525163-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g001-550.jpg?1732101214" title=" <strong>Figure 1</strong><br/> <p>General view of a building under reconstruction.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g002-550.jpg?1732101215" title=" <strong>Figure 2</strong><br/> <p>Architectural design of the building façade.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g003-550.jpg?1732101216" title=" <strong>Figure 3</strong><br/> <p>The suspended façade fastening system: 1—fastening anchor, 2—paronite gasket, 3—washer, 4—mineral wool insulation, 5—rivet, 6—self-tapping screw, 7—pine planken, 8—rivet, 9—planken fastener, 10—vertical rail, 11—bracket extension, 12—bracket.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g004-550.jpg?1732101217" title=" <strong>Figure 4</strong><br/> <p>Planken specimens submitted for the research purposes.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g005-550.jpg?1732101219" title=" <strong>Figure 5</strong><br/> <p>Specimen 1. Dependence of the mass loss and the mass-loss rate in specimens on heating temperature.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g006-550.jpg?1732101221" title=" <strong>Figure 6</strong><br/> <p>Specimen 2. Dependence of the mass loss and the mass-loss rate in specimens on heating temperature.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g007-550.jpg?1732101223" title=" <strong>Figure 7</strong><br/> <p>Specimen 3. Dependence of the mass loss and the mass-loss rate in specimens on heating temperature.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g008-550.jpg?1732101224" title=" <strong>Figure 8</strong><br/> <p>Specimen 4. Dependence of the mass loss and the mass-loss rate in specimens on heating temperature.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g009-550.jpg?1732101226" title=" <strong>Figure 9</strong><br/> <p>Specimens 1–4. Dependence of the mass loss and the mass-loss rate in surface layer specimens on heating temperature.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/buildings/buildings-14-03692/article_deploy/html/images/buildings-14-03692-g010-550.jpg?1732101228" title=" <strong>Figure 10</strong><br/> <p>Specimens 1–4. Dependence of the mass loss and the mass-loss rate in inner layer specimens on heating temperature.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2075-5309/14/11/3692'>Full article</a></strong> "></a></div> </div> </div> <div class="generic-item article-item"> <input class="article-list-checkbox export-element" type="checkbox" name="articles_ids[]" value="1525148" data-select-all-name="article-listing"> <div class="article-content"> <div class="label right label__btn"> <span style="font-size: 12px; color: #1a1a1a;"> 11 pages, 1225 KiB </span> <a href="/2306-5354/11/11/1172/pdf?version=1732100495" class="UD_Listings_ArticlePDF" title="Article PDF" data-name="AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy Management" data-journal="bioengineering"> <i class="material-icons custom-download"></i> </a> </div> <div class="article-icons"><span class="label openaccess" data-dropdown="drop-article-label-openaccess" aria-expanded="false">Open Access</span><span class="label articletype">Article</span></div> <a class="title-link" href="/2306-5354/11/11/1172">AI-Driven Prediction of Symptom Trajectories in Cancer Care: A Deep Learning Approach for Chemotherapy Management</a> <div class="authors"> by <span class="inlineblock "><strong>Joseph Finkelstein</strong>, </span><span class="inlineblock "><strong>Aref Smiley</strong>, </span><span class="inlineblock "><strong>Christina Echeverria</strong> and </span><span class="inlineblock "><strong>Kathi Mooney</strong></span> </div> <div class="color-grey-dark"> <em>Bioengineering</em> <b>2024</b>, <em>11</em>(11), 1172; <a href="https://doi.org/10.3390/bioengineering11111172">https://doi.org/10.3390/bioengineering11111172</a> - 20 Nov 2024 </div> Viewed by 278 <div class="abstract-div"> <a href="#" onclick="$(this).next('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> <strong>Abstract </strong> </a> <div class="abstract-cropped inline"> This study presents an advanced method for predicting symptom escalation in chemotherapy patients using Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs). The accurate prediction of symptom escalation is critical in cancer care to enable timely interventions and improve symptom management <a href="#" data-counterslink = "https://www.mdpi.com/2306-5354/11/11/1172/more" onclick="$(this).parents('.abstract-cropped').toggleClass('inline').next('.abstract-full').toggleClass('inline'); return false;"> [...] Read more.</a> </div> <div class="abstract-full "> This study presents an advanced method for predicting symptom escalation in chemotherapy patients using Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs). The accurate prediction of symptom escalation is critical in cancer care to enable timely interventions and improve symptom management to enhance patients’ quality of life during treatment. The analytical dataset consists of daily self-reported symptom logs from chemotherapy patients, including a wide range of symptoms, such as nausea, fatigue, and pain. The original dataset was highly imbalanced, with approximately 84% of the data containing no symptom escalation. The data were resampled into varying interval lengths to address this imbalance and improve the model’s ability to detect symptom escalation (n = 3 to n = 7 days). This allowed the model to predict significant changes in symptom severity across these intervals. The results indicate that shorter intervals (n = 3 days) yielded the highest overall performance, with the CNN model achieving an accuracy of 81%, precision of 87%, recall of 80%, and an F1 score of 83%. This was an improvement over the LSTM model, which had an accuracy of 79%, precision of 85%, recall of 79%, and an F1 score of 82%. The model’s accuracy and recall declined as the interval length increased, though precision remained relatively stable. The findings demonstrate that both CNN’s temporospatial feature extraction and LSTM’s temporal modeling effectively capture escalation patterns in symptom progression. By integrating these predictive models into digital health systems, healthcare providers can offer more personalized and proactive care, enabling earlier interventions that may reduce symptom burden and improve treatment adherence. Ultimately, this approach has the potential to significantly enhance the overall quality of life for chemotherapy patients by providing real-time insights into symptom trajectories and guiding clinical decision making. <a href="/2306-5354/11/11/1172">Full article</a> </div> </div> <a href="#" class="abstract-figures-show" data-counterslink = "https://www.mdpi.com/2306-5354/11/11/1172/show" ><span >►</span><span style=" display: none;">▼</span> Show Figures </a><div class="abstract-image-preview "><div class="arrow left-arrow" id="prev1525148"><i class="fa fa-caret-left"></i></div><div class="arrow right-arrow" id="next1525148"><i class="fa fa-caret-right"></i></div><div class="absgraph cycle-slideshow manual" data-cycle-fx="scrollHorz" data-cycle-timeout="0" data-cycle-next="#next1525148" data-cycle-prev="#prev1525148" data-cycle-progressive="#images1525148" data-cycle-slides=">div" data-cycle-log="false"><div class='openpopupgallery cycle-slide' data-imgindex='0' data-target='article-1525148-popup'><span class="helper"></span><img src="data:image/gif;base64,R0lGODlhAQABAAD/ACwAAAAAAQABAAACADs=" data-src="https://pub.mdpi-res.com/bioengineering/bioengineering-11-01172/article_deploy/html/images/bioengineering-11-01172-g001-550.jpg?1732100626" alt="" style="border: 0;"><p>Figure 1</p></div><script id="images1525148" type="text/cycle" data-cycle-split="---"><div class='openpopupgallery' data-imgindex='1' data-target='article-1525148-popup'><span class="helper"></span><img src='https://pub.mdpi-res.com/bioengineering/bioengineering-11-01172/article_deploy/html/images/bioengineering-11-01172-g002-550.jpg?1732100628'><p>Figure 2</p></div></script></div></div><div id="article-1525148-popup" class="popupgallery" style="display: inline; line-height: 200%"><a href="https://pub.mdpi-res.com/bioengineering/bioengineering-11-01172/article_deploy/html/images/bioengineering-11-01172-g001-550.jpg?1732100626" title=" <strong>Figure 1</strong><br/> <p>Flowchart of the developed algorithm to evaluate data. Final evaluation of compiled data.</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2306-5354/11/11/1172'>Full article</a></strong> "></a><a href="https://pub.mdpi-res.com/bioengineering/bioengineering-11-01172/article_deploy/html/images/bioengineering-11-01172-g002-550.jpg?1732100628" title=" <strong>Figure 2</strong><br/> <p>Comparison of the ROC curves for different n (3–7).</p> <strong style='display: block; margin-top: 10px; font-size: 18px;'><a style='color: #fff' href='/2306-5354/11/11/1172'>Full article</a></strong> "></a></div> </div> </div> <span class="more" style="display: none;"></span> </div> <div class="row footer"> <div class="listing-select-options"> <div class="columns small-12"> <div class="select generic-item"> <a href="#" class="export-options-show export-element export-expanded"> Show export options <i class="material-icons">expand_more</i> </a> <a href="#" class="export-options-show export-element"> Show export 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