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AdvancedSearch SectionSpecialIssueVolumeIssueNumberPe LogicalOperatorOperatorANDORSearchTextSearchTypeAllfieldsTitleAbstractKeywordsAuthorsAffiliationsDoiFullTextReferences add_circle_outlineremove_circle_outline SustainabilityCantheUKDeliverZeroCarbonReadyHomesby2050?GeosciencesStealthMetasomatisminGranulitesfromIvrea(NWItaly):Hydrationofthe(Variscan)LowerCrustbyMeltFlowVaccinesActiveSafetySurveillanceofSpikevaxandNuvaxovidVaccinesRecentArticles attachmentSupplementarymaterial:SupplementaryFile1(ZIP,KiB)21pes,1844KiB OpenAccessArticleGeneticVariationStudyofSeveralRomanianPepper(CapsicumannuumL.)VarietiesRevealedbyMolecularMarkersandWholeGenomeResequencingbyAncaAmaliaUdriște,MihaelaIordăchescuandLilianaBădulescuInt.J.Mol.Sci.2024,25(22),;doi.org/10.3390/ijms7(registering DOI)-5Nov2024AbstractNumerousvarietiesofCapsicumannuumL.withmultiplevaluabletraits,suchasadaptationtobioticandabioticstressfactors,canbefoundinsouth-eastRomania,wellknownforvegetablecultivationandanimportantareaofbiodiversityconservation.Toobtainusefulinformationaboutsustainable[...]Readmore.NumerousvarietiesofCapsicumannuumL.withmultiplevaluabletraits,suchasadaptationtobioticandabioticstressfactors,canbefoundinsouth-eastRomania,wellknownforvegetablecultivationandanimportantareaofbiodiversityconservation.Toobtainusefulinformationaboutsustainablericulture,manement,andconservationoflocalpeppervarieties,weanalyzedthegeneticdiversityandconducteddeepmolecularcharacterizationusingwholegenomeresequencing(WGS)forvariant/mutationdetection.ThepeppervarietiesusedinthepresentstudywereregisteredbyVRDSintheISTIScatalogbetween1974and2019andmaintainedinconservativeselection;however,nostudieshebeenpublishedyetusingWGSanalysisinordertocharacterizethisspecificgermplasm.Thegenomesequences,annotation,andalignmentsprovidedinthisstudyofferessentialresourcesforgenomicresearchaswellasforfuturebreedingeffortsusingtheC.annuumlocalvarieties.Fullarticle(ThisarticlebelongstotheSectionMolecularBiology)12pes,901KiB OpenAccessArticleStimulationofHairGrowthEffectbyFermentedGinsenosidesUsingLevilactobacillusbrevisTHK-D437byEun-JiYi,TrangThiMinhNguyen,JeehaengJeong,XiangjiJin,QiwenZheng,Se-JigPark,Gyeong-SeonYi,Su-JinYangandTae-HooYiFermentation2024,10(11),565;doi.org/10.3390/fermentation(registering DOI)-5Nov2024AbstractHairgrowthiscrucialforphysiologicalfunctionsandpsychologicalwell-being,leadingtoanincreasingdemandforresearchinthisarea.Whilelow-molecularginsenosideshebeenshowntopromotehairgrowthinmice,studiesontheireffectsarelimited,andthereisalack[...]Readmore.Hairgrowthiscrucialforphysiologicalfunctionsandpsychologicalwell-being,leadingtoanincreasingdemandforresearchinthisarea.Whilelow-molecularginsenosideshebeenshowntopromotehairgrowthinmice,studiesontheireffectsarelimited,andthereisalackofresearchexaminingtheimpactofginsenosidefermentationproductsderivedfromlacticacidbacteria.Thisstudyinvestigatedthehair-growth-promotingeffectoffermentedginsenosidebyfermentationofLevilactobacillusbrevisTHK-D437,whichwasisolatedfromthetraditionalKoreanfermentedfoodkimchiandfeatureshighβ-glucosidaseactivity.Inthecell-basedMTTassay,theproliferationratewasincreasedby25%inthefermentedginsenoside-treatedgrouponhumanhairdermalpapillacells(HHDPCs).Inthealopeciamousemodelstudy(C57BL/6mousemodel),enhancedhairgrowthwasobservedinthefermentedginsenoside-treatedmousegroups.Tissuehistologicalanalysesshowedthatthenumberofhairfolliclesandthethicknessoftheepidermis,respectively,wereincreasedinthefermentedginsenoside-treatedmousegroups.Theseresultssuggestedthatfermentedginsenosidehasapromotingeffectonhairgrowthandaretardingeffectonthecatenste.Therefore,fermentedginsengproductsmightbeanewpotentialtherapeuticcandidateforpromotinghairgrowth.Fullarticle(ThisarticlebelongstotheSpecialIssueLacticAcidFermentationandtheColoursofBiotechnology:4thEdition)20pes,2007KiB OpenAccessArticleClinicalCharacteristicsandOutcomesofHospitalizedCOVID-19PatientswithDifferentVariantsofSARS-CoV-2inaTertiaryCareHospital,ThailandbyKitchawanHengkrawit,JuthamasThananon,KritakarnTelapolandChirawatChiewchalermsriTrop.Med.Infect.Dis.2024,9(11),266;doi.org/10.3390/tropicalmed(registering DOI)-5Nov2024AbstractThedifferentstrainsofSARS-CoV-2weredetectedandlabeledin2021.Eachstraindiffersinbothclinicalsymptomsandseverity.Previousstudiesfounddifferentclinicalsymptomsandtreatmentoutcomesbetweenoutbreakwes;however,datainSoutheastAsiawerelimited.Thisstudycollecteddata[...]Readmore.ThedifferentstrainsofSARS-CoV-2weredetectedandlabeledin2021.Eachstraindiffersinbothclinicalsymptomsandseverity.Previousstudiesfounddifferentclinicalsymptomsandtreatmentoutcomesbetweenoutbreakwes;however,datainSoutheastAsiawerelimited.ThisstudycollecteddataofhospitalizedCOVID-19patientsfromaTertiaryhospitalinThailandbetweenJanuary2020andDecember2023andanalyzedpatients’dataineachoutbreakweusingPearson’schi-square.Atotalof1084inpatientswereincludedforanalysis.Themedianewas64(IQR,0.4–100)years.ThepatientswerehospitalizedinpredominantlyAlpha(22.78%),Delta(21.68%),andOmicron(5.07%)periodsofthevirusoutbreak.Thelargestegroupwaselderly(over65yearsold)inallthreevariantofconcern(VOC)periods;82.65%ofthepatientshadcomorbidities,including58.5%hypertension,46.5%dyslipidemia,and42.0%diabetesmellitus(DM).Thestudyfoundpneumoniaat67.53%,septicshockat4.61%,acuterespiratorydistresssyndrome(ARDS)at2.86%,andcongestiveheartfailureat0.83%inallegroupswithnosignificantdifferencebetweenoutbreakperiods.Theoverallmortalityratewas16.14%.Atotalof75%ofdeathsoccurredinpatientsover65yearsold.ThemortalityratesineachVOCperiodwere20.0%Delta,19.83%Alpha,and13.23%Omicron.Intheelderlygroup,themortalityrateswereDelta15.32%,Alpha11.75%,andOmicron10.88%.TheOmicronVOCwaslessseverethanothervariants,particularlyintheelderly(65years).Therewerenosignificantdifferencesintheyounger(<65years)egroup.Theelderlystillhadmoreseveresymptomsandthehighestmortalityratesineveryweofoutbreak.Fullarticle(ThisarticlebelongstotheSpecialIssuePost-PandemicChallenges:EndemicCOVID-19,VaccineHesitancy,andViralResurgence)21pes,652KiB OpenAccessArticleAI-DrivenBusinessModel:HowAI-PoweredTry-OnTechnologyIsRefiningtheLuxuryShoppingExperienceandCustomerSatisfactionbyXinSongandCaroleBonanniJ.Theor.Appl.Electron.Commer.Res.2024,19(4),3067-3087;doi.org/10.3390/jtaer(registering DOI)-5Nov2024AbstractArtificialIntelligence(AI)hasrevolutionizedinteractivemarketing,creatingdynamicandpersonalizedcustomerexperiences.Tothebestofourknowledge,nostudiesheventuredintohowfirmsintheluxurysectorcanlevereAImarketingactivitiestoinnovatetheirbusinessmodelandboostthe[...]Readmore.ArtificialIntelligence(AI)hasrevolutionizedinteractivemarketing,creatingdynamicandpersonalizedcustomerexperiences.Tothebestofourknowledge,nostudiesheventuredintohowfirmsintheluxurysectorcanlevereAImarketingactivitiestoinnovatetheirbusinessmodelandboostthedevelopmentoffuturedigitalmarketingtoenhancetheluxuryshoppingexperience(LSE).BuildingontheexistingLSEliteratureandadoptingabusinessmodelinnovation(BMI)lens,weconductedanexperimentalstudytoidentifyhowAI-poweredtry-ontechnology(ATT)cancontributetoLSEsandcreatecustomervalueproxiedbycustomersatisfaction.Inaddition,wedeterminedthespecificdimensionsoftheLSEthataremostaffectedbyAImarketingefforts.Furthermore,ourfindingsexploredtheroleofAIindrivingBMIandtheinterrelationshipbetweenenhancedcustomersatisfactionandBMI.ThisresearchcontributestounderstandingthecrucialroleofAIinshapingthefutureofinteractivemarketingintheluxurycontext.Fullarticle(ThisarticlebelongstotheTopicInteractiveMarketingintheDigitalEra)9658;9660;ShowFiguresFigure118pes,1180KiB OpenAccessReviewCRISPRTechnologyActsasaDual-PurposeToolinPigBreeding:EnhancingBothriculturalProductivityandBiomedicalApplicationsbyBoFu,HongMa,XiupengHuo,YingZhuandDiLiuBiomolecules2024,14(11),1409;doi.org/10.3390/biom(registering DOI)-5Nov2024AbstractPigshelongbeenintegraltohumansocietyfortheirrolesinricultureandmedicine.Consequently,thereisanurgentneedforgeneticimprovementofpigstomeethumandualneedsformedicineandfood.Inriculture,geneeditingcanimproveproductivitytraits,[...]Readmore.Pigshelongbeenintegraltohumansocietyfortheirrolesinricultureandmedicine.Consequently,thereisanurgentneedforgeneticimprovementofpigstomeethumandualneedsformedicineandfood.Inriculture,geneeditingcanimproveproductivitytraits,suchasgrowthrateanddiseaseresistance,whichcouldlowerfarmingcostsandbenefitconsumersthroughenhancedmeatquality.Inbiomedicalresearch,gene-editedpigsofferinvaluableresourcesasdiseasemodelsandinxenotransplantation,providingorganscompatiblewithhumanphysiology.Currently,withCRISPRtechnology,especiallytheCRISPR/Cas9systememergingasatransformativeforceinmoderngenetics,pigsarenotonlysourcesofsustenancebutalsocornerstonesofbiomedicalinnovation.ThisreviewaimstosummarizetheapplicationsofCRISPR/Cas9technologyindevelopingpigsthatservedualrolesinricultureandbiomedicalapplications.ComparedtoZFNsandTALENs,theCRISPR/Cas9systemoffersseveraladvantes,includinghigherefficiency,greaterspecificity,easeofdesignandimplementation,andthecapabilitytotargetmultiplegenessimultaneously,significantlystreamliningtheprocessofgeneticmodificationsincomplexgenomes.Therefore,CRISPRtechnologysupportstheenhancementoftraitsbeneficialforriculturalproductivityandfacilitatesapplicationsinmedicine.Furthermore,wemustacknowledgetheinherentdeficienciesandtechnicalchallengesoftheCRISPR/Cas9technologywhilealsoanticipatingemergingtechnologiespoisedtosurpassCRISPR/Cas9asthenextmilestonesingeneediting.Wehypothesizethatwiththecontinuousadvancementsingeneeditingtechnologiesandsuccessfulintegrationoftraitsbeneficialtobothriculturalproductivityandmedicalapplications,thegoalofdevelopingdual-purposepigsforbothriculturalandmedicalusecanultimatelybeachieved.Fullarticle(ThisarticlebelongstotheSectionMolecularBiology)9658;9660;ShowFiguresFigure125pes,1789KiB OpenAccessReviewAnOverviewoftheR&DofFlywheelEnergyStoreTechnologiesinChinabyXingjianDai,XiaotingMa,DongxuHu,JibingDuanandHaishengChenEnergies2024,17(22),5531;doi.org/10.3390/en(registering DOI)-5Nov2024AbstractTheliteraturewritteninChinesemainlyandinEnglishwithasmallamountisreviewedtoobtaintheoverallstatusofflywheelenergystoretechnologiesinChina.Thetheoreticalexplorationofflywheelenergystore(FES)startedinthe1980sinChina.Theexperimental[...]Readmore.TheliteraturewritteninChinesemainlyandinEnglishwithasmallamountisreviewedtoobtaintheoverallstatusofflywheelenergystoretechnologiesinChina.Thetheoreticalexplorationofflywheelenergystore(FES)startedinthe1980sinChina.TheexperimentalFESsystemanditscomponents,suchastheflywheel,motor/generator,bearing,andpowerelectronicdevices,wereresearchedaroundthirtyyearso.AbouttwentyorganizationsdevotethemselvestotheR&DofFEStechnology,whichisdevelopingfromtheoreticalandlaboratoryresearchtothesteofengineeringdemonstrationandcommercialapplication.Aftertheresearchandaccumulationinthepast30years,theinitialFESproductsweredevelopedbysomecompaniesaround10yearso.Today,theoveralltechnicallevelofChina’sflywheelenergystoreisnolongerlgingbehindthatofWesternadvancedcountriesthatstartedFESR&Dinthe1970s.Thereportedmaximumtipspeedofthenew2Dwovenfabriccompositeflywheelarrivedat900m/sinthespintest.Asteelalloyflywheelwithanenergystorecapacityof125kWhandacompositeflywheelwithanenergystorecapacityof10kWhhebeensuccessfullydeveloped.Permanentmnet(PM)motorswithpowerof250–1000kWweredesigned,manufactured,andtestedinmanyFESassemblies.Thelowerlossiscarriedoutthroughinnovativestatorandrotorconfiguration,optimizingmneticfluxandwindingarrangementforharmonicmneticfieldsuppression.Permanentmneticbearingswithhighloadabilityupto50–100kNweredevelopedbothfora1000kW/16.7kWhflywheelusedforthedrillingpracticeapplicationinhybridpowerofanoilwelldrillingrigandfor630kW/125kWhflywheelsusedinthe22MWflywheelarrayappliedtotheflywheelandthermalpowerjointfrequencymodulationdemonstrationproject.ItisexpectedthattheFESdemonstrationapplicationpowerstationswithatotalcumulativecapacityof300MWwillbebuiltinthenextfiveyears.Fullarticle(ThisarticlebelongstotheSpecialIssueFlywheelEnergyStoreSystemsandApplicationsⅡ)attachmentSupplementarymaterial:SupplementaryFile1(ZIP,333KiB)13pes,9132KiB OpenAccessArticleFluorescentAerolysin(FLAER)BindingIsAbnormallyLowintheClonalPrecursorsofAcuteLeukemias,withBindingParticularlyLoworAbsentinAcutePromyelocyticLeukemiabyMaríaBeatrizÁlvarezFlores,MaríaSopeñaCorvinos,RaquelGuillénSantosandFernandoCaValencianoInt.J.Mol.Sci.2024,25(22),;doi.org/10.3390/ijms8(registering DOI)-5Nov2024AbstractFlowcytometryplaysafundamentalroleinthedinosisofleukemiasandlymphomas,aswellasinthefollow-upandevaluationofminimallymeasurablediseaseaftertreatment.Insomeinstances,suchasinthecaseofacutepromyelocyticleukemia(APL),rapiddinosisis[...]Readmore.Flowcytometryplaysafundamentalroleinthedinosisofleukemiasandlymphomas,aswellasinthefollow-upandevaluationofminimallymeasurablediseaseaftertreatment.Insomeinstances,suchasinthecaseofacutepromyelocyticleukemia(APL),rapiddinosisisrequiredtooiddeathduetoseriousbloodclottingorbleedingcomplications.Giventhatpromyelocytesdonotexpresstheglycophosphatidylinositol(GPI)-anchoredproteinCD16andthatdeficientCD16expressionisafeatureofsomeCD16polymorphismsandparoxysmalnocturnalhemoglobinuria(PNH),weincludedtheGPIanchorprobeFLAERaerolysinintheAPLflowcytometryprobepanel.InitialtestsshowedthatFLAERbindingwasabsentinpathologicalpromyelocytesfromAPLpatientsbutwasconsistentlydetectedwithhighintensityinhealthypromyelocytesfromcontrolbonemarrow.FLAERbindingwasstudiedin71hematologicmalignancies.Appropriatecontrolcellswereobtainedfrom16bonemarrowsamplesfrompatientswithidiopathicthrombocytopenicpurpuraandnon-infiltratednon-Hodgkin’slymphoma.ComparedwiththepositiveFLAERsignalinpromyelocytesfromhealthybonemarrow,malignantpromyelocytesfromAPLpatientsshowedweakornegativeFLAERbinding.TheFLAERsignalinAPLpromyelocyteswasalsolowerthanthatincontrolmyeloidprogenitorsandprecursorsfrompatientswithotherformsofacutemyeloidleukemia(AML),B-cellacutelymphoblasticleukemia,ormyelodysplasticsyndrome.MinimalmeasurablediseasestudiesperformedinAPLpatientsaftertreatmentfoundnormalpromyelocyteexpressionwhenminimalmeasurablediseasewasnegativeandFLAER-negativepromyelocyteswhendiseaserelapsewasdetected.TheinclusionofFLAERintheflowcytometrydinosisandfollow-upofAPLcouldbeveryhelpful.DecreasedFLAERbindingwasfoundinallcasesofAPL,confirmedbythedetectionofthePML-RARAfusiontranscriptand,toalesserextent,intheotherAMLsstudied.ThisstudyalsorevealedFLAERdifferencesinotheracuteleukemiasandevenbetweendifferentprecursors(myeloidandlymphoid)fromhealthycontrols.However,thereasonforFLAER’snon-bindingtothemalignantprecursorsoftheseleukemiasremainsunknown,andfuturestudiesshouldexplorethepossiblerelationwithanimmuneescapephenomenonintheseleukemias.Fullarticle(ThisarticlebelongstotheSpecialIssueFlowCytometry:ApplicationsandChallenges)9658;9660;ShowFiguresFigure1Figure2---Figure3---Figure4---Figure5---Figure6---Figure7---Figure824pes,3257KiB OpenAccessArticleEnergyManementSystemforPolygenerationMicrogrids,IncludingBatteryDegradationandCurtailmentCostsbyYassineEnnassiri,Miguelde-Simón-Martín,StefanoBraccoandMichelaRobbaSensors2024,24(22),7122;doi.org/10.3390/s(registering DOI)-5Nov2024AbstractRecentadvancementsinsensortechnologieshesignificantlyimprovedthemonitoringandcontrolofvariousenergyparameters,enablingmorepreciseandadaptivemanementstrategiesforsmartmicrogrids.Thisworkpresentsanovelmodelofanenergymanementsystem(EMS)forgrid-connectedpolygenerationmicrogridsthat[...]Readmore.Recentadvancementsinsensortechnologieshesignificantlyimprovedthemonitoringandcontrolofvariousenergyparameters,enablingmorepreciseandadaptivemanementstrategiesforsmartmicrogrids.Thisworkpresentsanovelmodelofanenergymanementsystem(EMS)forgrid-connectedpolygenerationmicrogridsthatallowsoptimizingthemanementofelectricalstoresystems,electricvehicles,andotherdeferrableloadssuchasheatpumps.Themainnoveltyofthismodelisthatitincorporatesbothclimatecomfortvariablesandtheconsiderationofthedegradationoftheenergystorecapacityinthecontrolstrategy,aswellasapenaltyforthedumpingofsurpluses.Themodelhasbeenappliedtoasmart,sustainablebuildingasacasestudy.Theresultsshowthattheproposedmodelishighlyadaptabletodiverseweatherconditions,minimizingrenewableenergylosseswhilesatisfyingtheenergydemandandprovidingcomforttothebuilding’susers.Thestudyshows(i)thatEVs’dynamicchargingschedulesplayacrucialrole,(ii)thatitispossibletominimizeabattery’sdegradationbyoptimizingitscycling,eringonecycleperday,and(iii)thecriticalimpactofseasonalweatherpatternsonmicrogridenergymanementandthestrategicroleofEVsandstoresystemsinmaintainingenergybalanceandefficiency.Fullarticle(ThisarticlebelongstotheSpecialIssueSensorsTechnologyandDataAnalyticsAppliedinSmartGrid)attachmentSupplementarymaterial:SupplementaryFile1(ZIP,164KiB)17pes,2412KiB OpenAccessArticleDesignofNanocrystallineSuspensionofDutasterideforIntramuscularProlongedDeliverybyMinYoungJeong,DoeMyungShin,MinKyeongKwon,YeBinShin,JunSooPark,InGyuYang,JinHyukMyung,DongGeonLee,GiYeongLee,ChaeWonPark,JiWonYeo,MyoungJinHo,YongSeokChoiandMyungJooKangNanomaterials2024,14(22),1781;doi.org/10.3390/nano(registering DOI)-5Nov2024AbstractTheaimofthestudyistoformulateaninjectablenanocrystallinesuspension(NS)ofdutasteride(DTS),ahydrophobic5α-reductaseinhibitorusedtotreatbenignprostatichyperplasiaandscalphairloss,forparenterallong-actingdelivery.ADTS-loadedNS(DTS-NS,40mg/mLDTS)wasprepared[...]Readmore.Theaimofthestudyistoformulateaninjectablenanocrystallinesuspension(NS)ofdutasteride(DTS),ahydrophobic5α-reductaseinhibitorusedtotreatbenignprostatichyperplasiaandscalphairloss,forparenterallong-actingdelivery.ADTS-loadedNS(DTS-NS,40mg/mLDTS)waspreparedusingalab-scalebead-millingtechnique.TheoptimizedDTS-NSpreparedusingTween80(0.5%w/v)asanano-suspendingent,wascharacterizedasfollows:rod/rectangularshape;particlesizeof324nm;zetapotentialof−11mV;anddecreaseddrugcrystallinitycomparedwithintactdrugpowder.TheDTS-NSexhibitedamarkedlyprotracteddrugconcentration-timeprofilefollowingintramuscularinjection,reachingamaximumconcentrationafter8.40days,withaneliminationhalf-lifeof9.94daysinrats.Histopathologicalobservationsrevealedagranulomatousinflammatoryresponseattheinjectionsite7daysafterintramuscularadministration,whichsignificantlysubsidedbyday14andshowedminimalinflammationbyday28.ThesefindingssuggestthatthenanosuspensionsystemisapromisingapproachforthesustainedreleaseparenteralDTSdelivery,withaprotractedpharmacokineticprofileandtolerablelocalinflammation.Fullarticle(ThisarticlebelongstotheSpecialIssueAdvancedNanotechnologyforBiomedicalResearch:Dinosis,DrugDeliveryandTargetedTherapy)19pes,2072KiB OpenAccessArticleEnhancingMedicalImeClassificationwithUnifiedModelnosticComputationandExplainableAIbyElieNeghawiandYanLiuAI2024,5(4),2260-2278;doi.org/10.3390/ai(registering DOI)-5Nov2024AbstractBackground:Advancesinmedicalimeclassificationherecentlybenefitedfromgeneralaugmentationtechniques.However,thesemethodsoftenfallshortinperformanceandinterpretability.Objective:ThispaperappliestheUnifiedModelnosticComputation(UMAC)frameworkspecificallytothemedicaldomaintodemonstrateitsutility[...]Readmore.Background:Advancesinmedicalimeclassificationherecentlybenefitedfromgeneralaugmentationtechniques.However,thesemethodsoftenfallshortinperformanceandinterpretability.Objective:ThispaperappliestheUnifiedModelnosticComputation(UMAC)frameworkspecificallytothemedicaldomaintodemonstrateitsutilityinthiscriticalarea.Methods:UMACisamodel-nosticmethodologydesignedtodevelopmachinelearningapproachesthatintegrateseamlesslywithvariousparadigms,includingself-supervised,semi-supervised,andsupervisedlearning.Byunifyingandstandardizingcomputationalmodelsandalgorithms,UMACensuresadaptabilityacrossdifferentdatatypesandcomputationalenvironmentswhileincorporatingstate-of-the-artmethodologies.Inthisstudy,weintegrateUMACasaplug-and-playmodulewithinconvolutionalneuralnetworks(CNNs)andTransformerarchitectures,enablingthegenerationofhigh-qualityrepresentationsevenwithminimaldata.Results:Ourexperimentsacrossninediverse2DmedicalimedatasetsshowthatUMACconsistentlyoutperformstraditionaldataaugmentationmethods,achievinga1.89%improvementinclassificationaccuracy.Conclusion:Additionally,byincorporatingexplainableAI(XAI)techniques,weenhancemodeltransparencyandreliabilityindecision-making.ThisstudyhighlightsUMAC’spotentialasapowerfultoolforimprovingboththeperformanceandinterpretabilityofmedicalimeclassificationmodels.Fullarticle(ThisarticlebelongstotheTopicApplicationsofNLP,AI,andMLinSoftwareEngineering)23pes,6153KiB OpenAccessArticleAnEnhancedShuffleAttentionwithContextDecouplingHeadwithWiseIoULossforSARShipDetectionbyYunshanTang,YueZhang,JiarongXiao,YueCaoandZhongjunYuRemoteSens.2024,16(22),4128;doi.org/10.3390/rs(registering DOI)-5Nov2024AbstractSyntheticApertureRadar(SAR)imeryiswidelyutilizedinmilitaryandcivilianapplications.Recentdeeplearningadvancementsheledtoimprovedshipdetectionalgorithms,enhancingaccuracyandspeedovertraditionalConstantFalse-AlarmRate(CFAR)methods.However,challengesremainwithcomplexbackgroundsandmulti-scale[...]Readmore.SyntheticApertureRadar(SAR)imeryiswidelyutilizedinmilitaryandcivilianapplications.Recentdeeplearningadvancementsheledtoimprovedshipdetectionalgorithms,enhancingaccuracyandspeedovertraditionalConstantFalse-AlarmRate(CFAR)methods.However,challengesremainwithcomplexbackgroundsandmulti-scaleshiptargetsamidstsignificantinterference.Thispaperintroducesanovelmethodthatfeaturesacontext-baseddecoupledhead,leveringpositioningandsemanticinformation,andincorporatesshuffleattentiontoenhancefeaturemapinterpretation.Additionally,weproposeanewlossfunctionwithadynamicnon-monotonicfocusmechanismtotackletheseissues.ExperimentalresultsontheHRSIDandSAR-Ship-DatasetdemonstratethatourapproachsignificantlyimprovesdetectionperformanceovertheoriginalYOLOv5algorithmandotherexistingmethods.Fullarticle(ThisarticlebelongstotheSpecialIssueArtificialIntelligenceRemoteSensingforEarthObservation)9658;9660;ShowFiguresFigure1Figure2---Figure3---Figure4---Figure5---Figure6---Figure711pes,760KiB OpenAccessArticleWhaleOptimizationAlgorithmwithMachineLearningforMicroweImingbyChien-ChingChiu,Ching-LiehLi,Po-HsiangChen,Hung-MingChengandHaoJiangElectronics2024,13(22),4342;doi.org/10.3390/electronics(registering DOI)-5Nov2024AbstractThispaperintroducesanovelapproachforreconstructingmicroweimingbycombiningtheWhaleOptimizationAlgorithm(WOA)withdeeplearningtechniques.Init,electromneticwesareusedtoilluminateinhomogeneousdielectricobjectsinfreespace,andthescatteredfieldisrecorded.Dueto[...]Readmore.ThispaperintroducesanovelapproachforreconstructingmicroweimingbycombiningtheWhaleOptimizationAlgorithm(WOA)withdeeplearningtechniques.Init,electromneticwesareusedtoilluminateinhomogeneousdielectricobjectsinfreespace,andthescatteredfieldisrecorded.Duetothehighlynonlinearnatureofmicroweiming,theWOAisfirstemployedtocalculateaninitialguessfromthemeasuredscatteredfieldofdielectricobjects.Thisstepsignificantlyreducesthetrainingcomplexityformachinelearning.Subsequently,theinitialguessprovidedbytheWOAisfedintoaU-Nettoaccuratelyreconstructthemicroweime.NumericalsimulationresultsindicatethatthecombinationoftheWOAandmachinelearningoutperformstraditionalmethodsundervaryingnoiselevels,enhancingtheprecisionandeffectivenessofthereconstructionprocess.Indetail,theRMSEcanbereduced4–10%fordielectricconstantdistributionfrom1to2.5andSSIMcanbeincreasedabout30%formostcases.Fullarticle(ThisarticlebelongstotheSpecialIssueArtificialIntelligenceandMachineLearningTechniquesforMicroweTechnologies)13pes,775KiB OpenAccessOpinionUseofBasketTrialstoSolveSleepProblemsinPatientswithRareDiseasesbyLaraC.Pullen,NickBott,CateMcCanless,AmeeRevana,GunesSevinc,CaseyGorman,AlexandraDuncan,SarahPoliquin,AnnaC.Pfalzer,KatieQ.Schmidt,E.RobertWassman,ChèreChapmanandMariaPiconeClocks&Sleep2024,6(4),656-668;doi.org/10.3390/clockssleep(registering DOI)-5Nov2024AbstractTheneedforsleepisuniversal,andtheabilitytomeetthisneedimpactsthequalityoflifeforpatients,families,andcaregivers.Althoughsubstantialprogresshasbeenmadeintreatingrarediseases,manypatientsheunmetmedicalsleepneeds,andcurrentregulatory[...]Readmore.Theneedforsleepisuniversal,andtheabilitytomeetthisneedimpactsthequalityoflifeforpatients,families,andcaregivers.Althoughsubstantialprogresshasbeenmadeintreatingrarediseases,manypatientsheunmetmedicalsleepneeds,andcurrentregulatorypolicymakesitprohibitivelydifficulttoaddressthoseneedsmedically.Thisopinionreviewstherarediseaseexperiencewithsleepdisordersandexplorespotentialsolutions.First,weprovidecaseprofilesfortherarediseasesWilson’sDisease,AngelmanSyndrome,andPrader–WilliSyndrome.Theseprofileshighlightchallengesinrarediseasedinosisandbarrierstopinpointingdiseasepathophysiology,includingbiomarkersthatintersectwithsleepdisorders.Second,wetransitiontoabird’seyeviewofsleepdisordersandrarediseasesbyreportinginputfromastakeholderdiscussionwiththeU.S.FoodandDrugAdministrationregardingabnormalsleeppatternsinvariousrarediseases.Last,inresponsetotheprofoundunmetmedicalneedsofpatientswithrarediseasesandsleepdisorders,weproposeadaptingandusingtheclinicaltrialdesignknownasa“baskettrial”.Inthiscase,abaskettrialwouldincludepatientswithdifferentrarediseasesbutthesamedebilitatingsymptoms.Thisresearchapproachhasthepotentialtobenefitmanyrarediseasepatientswhoareotherwiseleftwithprofoundunmetmedicalneeds.Fullarticle(ThisarticlebelongstotheSectionHumanBasicResearch&Neuroiming)23pes,2243KiB OpenAccessArticleHumanAdaptiontoClimateChange:MarineDisasterRiskReductionintheEraofIntelligencebyJunyaoLuoandAihuaYangSustainability2024,16(22),9647;doi.org/10.3390/su(registering DOI)-5Nov2024AbstractWiththeintensificationofglobalwarmingandsealevelrise,extremeweatherandclimateeventsoccurfrequently,increasingtheprobabilityanddestructivepowerofmarinedisasters.Thepurposeofthispaperistoproposethespecificapplicationofartificialintelligence(AI)inmarine[...]Readmore.Withtheintensificationofglobalwarmingandsealevelrise,extremeweatherandclimateeventsoccurfrequently,increasingtheprobabilityanddestructivepowerofmarinedisasters.Thepurposeofthispaperistoproposethespecificapplicationofartificialintelligence(AI)inmarinedisasterriskreduction.First,thispaperusescomputervisiontoassessthevulnerabilityofthetargetandthenusesCNN-LSTMtoforecasttropicalcyclones.Second,thispaperproposesasocialmediacommunicationmechanismbasedondeeplearningandapsychologicalcrisisinterventionmechanismbasedonAIGC.Inaddition,therescueresponsesystembasedonanintelligentunmannedplatformisalsothefocusofthisresearch.Third,thispaperalsoattemptstodiscussdisasterlossassessmentandreconstructionbasedonmachinelearningandsmartcityconcepts.Afterproposingspecificapplicationmeasures,thispaperproposesthreepolicyrecommendations.ThefirstoneisimprovinglegislationtobreakthetechnologicaltrapofAI.ThesecondoneispromotingscientificandtechnologicalinnovationtobreakthroughkeytechnologiesofAI.Thethirdoneisstrengtheningcoordinationandcooperationtobuildadisasterreductionsystemthatintegratesmanandmachine.ThepurposeofthispaperistoreducetheriskofmarinedisastersbyapplyingAI.Furthermore,wehopetoprovidescientificreferencesforsustainabilityandhumanadaptationtoclimatechange.Fullarticle23pes,7323KiB OpenAccessArticleApproximateSolutionsforDisplacementsinanElasticLayerSubjectedtoCircularorSquareLoadsbyMykolaNirniakandMarekChaleckiSymmetry2024,16(11),1475;doi.org/10.3390/sym(registering DOI)-5Nov2024AbstractThispaperpresentsnewapproximateformulasforevaluatingthemaximumdisplacementsofanelasticlayerloadedonacircularorsquarearea.Theapproximateformulasarebasedontheexactsolutionsofthetheoryofelasticityforahalf-spaceandtheelasticlayer[...]Readmore.Thispaperpresentsnewapproximateformulasforevaluatingthemaximumdisplacementsofanelasticlayerloadedonacircularorsquarearea.Theapproximateformulasarebasedontheexactsolutionsofthetheoryofelasticityforahalf-spaceandtheelasticlayerandofferasimpleandquickwaytoobtainthevaluesofdisplacements.Thenoveltyoftheseformulasliesintheireaseofapplicationwhilemaintaininghighaccuracywithrespecttotheexactsolutionofthetheoryofelasticity,whichcanmakethemusefulinengineeringpracticeandallowsforthequickandefficientestimationofdisplacementvalueswithouttheneedforcomplexnumericalmethods—merelyapocketcalculatorisenough.Thisisbeneficialfromanengineeringpointofview,wheretimeandresourcesmaybelimited.Thisarticlealsoprovidesananalysisofthemaximumdisplacementsofdifferentelasticlayers—slippingonanon-deformablebase(aloadonacircularorsquarearea)orfixedonanon-deformablebase(aloadonacirculararea).Fullarticle(ThisarticlebelongstotheSectionMathematics)9658;9660;ShowFiguresFigure1Figure2---Figure3---Figure4---Figure5---Figure6---Figure6Cont.---Figure7---Figure7Cont.---Figure8---Figure8Cont.---Figure9---Figure9Cont.---Figure10---Figure10Cont.---Figure11---Figure12---Figure13---Figure14---Figure15---Figure1620pes,KiB OpenAccessArticleIntelligentOptimizationandImpactAnalysisofEnergyEfficiencyandCarbonReductionintheHigh-TemperatureSinteredOreProductionProcessbyYuxingYuan,JingchaoSun,LeiZhang,SuYan,TaoDuandHongmingNaMaterials2024,17(22),5410;doi.org/10.3390/ma(registering DOI)-5Nov2024AbstractThecoordinatedoptimizationofenergyconservation,efficiencyimprovement,andpollutionreductioninthesinteringproductionprocessisvitalfortheefficientandsustainabledevelopmentofthesinteringdepartment.However,previousstudiesheshownshortcomingsinthemulti-objectivecollaborativeoptimizationofsinteringsystemsand[...]Readmore.Thecoordinatedoptimizationofenergyconservation,efficiencyimprovement,andpollutionreductioninthesinteringproductionprocessisvitalfortheefficientandsustainabledevelopmentofthesinteringdepartment.However,previousstudiesheshownshortcomingsinthemulti-objectivecollaborativeoptimizationofsinteringsystemsandthequantificationofpollutantimpacts.Toaddressthese,thispaperproposesamulti-objectiveoptimizationmethodintegratedwiththeNSGA-IIIalgorithmandestablishesanintegratedsystemoptimizationmodelforsinteredoreproductionandhigh-temperaturewasteheatrecovery.Theresultsdemonstratesignificantimprovements:energyutilizationefficiencyincreasedby0.67%,energyconsumptiondecreasedby17.3MJ/t,productioncostswerereducedby11.45CNY/t,andtheemissionsofCO2,SO2,andNOxwerereducedby0.464kg/t,0.034kg/t,and0.008kg/t,respectively.Additionally,thestudyidentifiedoptimalconfigurationparametersandanalyzedthequantitativeimpactofseveralkeyfactorsonmultipleindicators.Theresultsalsoshowthatreducingthewatercontentofthemixture,decreasingthemiddlingcoalcontentinthefuel,andincreasingthethicknessofthemateriallayerareeffectivestrategiestoreduceenergyconsumptionandpollutantemissionsinthesinteringprocess.Overall,implementingtheseoptimizationscanbringsignificanteconomicandenvironmentalbenefitstothesteelindustry.Fullarticle(ThisarticlebelongstotheSpecialIssueQualitative-EnvironmentalAspectstoImproveMaterialsandProcessesofTheirFormation)9658;9660;ShowFiguresFigure1Figure2---Figure3---Figure4---Figure5---Figure6---Figure7---Figure8---Figure9---Figure10---Figure11---Figure12---Figure1334pes,7442KiB OpenAccessArticleAHybridAROAlgorithmandKeyPointRetentionStrategyTrajectoryOptimizationforUPathPlanningbyBeiLiu,YuefengCai,DuantengchuanLi,KeLinandGuanghuiXuDrones2024,8(11),644;doi.org/10.3390/drones(registering DOI)-5Nov2024AbstractPathplanningisafundamentalresearchissueforenablingautonomousflightinunmannedaerialvehicles(Us).AneffectivepathplanningalgorithmcangreatlyimprovetheoperationalefficiencyofUsincomplexenvironmentslikeurbanandmountainousareas,thusofferingmoreextensivecoverefor[...]Readmore.Pathplanningisafundamentalresearchissueforenablingautonomousflightinunmannedaerialvehicles(Us).AneffectivepathplanningalgorithmcangreatlyimprovetheoperationalefficiencyofUsincomplexenvironmentslikeurbanandmountainousareas,thusofferingmoreextensivecovereforvarioustasks.However,existingpathPor favor, espere. Nuvemplanningalgorithmsoftenencounterproblemssuchashighcomputationalcostsandatendencytobecometrappedinlocaloptimaincomplex3Denvironmentswithmultipleconstraints.Totackletheseproblems,thispaperintroducesahybridmulti-strategyartificialrabbitsoptimization(HARO)forefficientandstableUpathplanningincomplexenvironments.Torealisticallysimulatecomplexscenarios,weintroducesphericalandcylindricalobstaclemodels.TheHAROalgorithmbalancesexplorationandexploitationphasesusingadualexplorationswitchingstrategyandapopulationmigrationmemorymechanism,enhancingsearchperformanceandoidinglocaloptima.Additionally,akeypointretentiontrajectoryoptimizationstrategyisproposedtoreduceredundantpathpoints,thusloweringflightcosts.ExperimentalresultsconfirmtheHAROalgorithm’ssuperiorsearchperformance,planningmoreefficientandstablepathsincomplexenvironments.Thekeypointretentionstrategyeffectivelyreducesflightcostsduringtrajectoryoptimization,therebyenhancingadaptability.Fullarticle26pes,391KiB OpenAccessArticleABilevelApproachtotheFacilityLocationProblemwithCustomerPreferencesUnderaMillPricingPolicybyHerminiaI.Calvete,CarmenGalé,AitorHernándezandJoséA.IranzoMathematics2024,12(22),3459;doi.org/10.3390/math(registering DOI)-5Nov2024AbstractThispaperaddressesthefacilitylocationproblemunderamillpricingpolicy,integratingcustomers’behiorthroughtheconceptofpreferences.Theproblemismodeledasabileveloptimizationproblem,wheretheexistenceoftiesincustomers’preferencescanleadtoanill-posedbilevel[...]Readmore.Thispaperaddressesthefacilitylocationproblemunderamillpricingpolicy,integratingcustomers’behiorthroughtheconceptofpreferences.Theproblemismodeledasabileveloptimizationproblem,wheretheexistenceoftiesincustomers’preferencescanleadtoanill-posedbilevelproblemduetothepossibleexistenceofmultipleoptimatothelower-levelproblem.Asthecommonlyemployedoptimisticandpessimisticstrategiesareinadequateforthisproblem,aspecificapproachisproposedbearinginmindthecustomers’rationalbehior.Inthiswork,weproposeanovelformulationoftheproblemasabilevelmodelinwhicheachcustomerfacesalexicographicbiobjectiveprobleminwhichthepreferenceismaximizedandthetotalcostofaccessingtheselectedfacilityisminimized.Thisallowsforamoreaccuraterepresentationofcustomerpreferencesandtheresultingdecisionsregardingfacilitylocationandpricing.Toaddressthecomplexitiesofthismodel,weapplydualitytheorytothelower-levelproblemsand,ultimately,reformulatethebilevelproblemasasingle-levelmixed-integeroptimizationproblem.Thisreformulationincorporatesbig-Mconstants,forwhichweprovidevalidboundstoensurecomputationaltractabilityandsolutionquality.Thecomputationalstudyconductedallowsustoassess,ontheonehand,theeffectivenessoftheproposedreformulationtoaddressthebilevelmodeland,ontheotherhand,theimpactofthelengthofthecustomerpreferencelistsandfixedopeningcostforfacilitiesonthecomputationaltimeandtheoptimalsolution.Fullarticle10pes,548KiB OpenAccessReviewTraceLithiumforSuicidePreventionandDementiaPrevention:AQualitativeReviewbyTakeshiTerao,HirofumiHirakawa,MasaakiMurona,ToshihikoIzumiandKentaroKohnoPharmaceuticals2024,17(11),1486;doi.org/10.3390/ph(registering DOI)-5Nov2024AbstractBackground:Anti-maniceffectsoflithiumandthenatureoftraceelementinlithiumwerefirstobservedin1949.Inthisreview,weexplorethepotentialeffectsoftracelithiuminthepreventionofsuicideanddementia.Methods:Thisisaqualitative[...]Readmore.Background:Anti-maniceffectsoflithiumandthenatureoftraceelementinlithiumwerefirstobservedin1949.Inthisreview,weexplorethepotentialeffectsoftracelithiuminthepreventionofsuicideanddementia.Methods:Thisisaqualitativeandnon-systematicreview.Results:Whilemoststudiestodatehebeencross-sectional,limitingtheestablishmentofcausalrelationships,thepotentialbenefitsoftracelithiumforsuicidepreventionanddementiapreventionarenotable,especiallyintheabsenceofradicaltreatmentsforsuicideanddementia.Furthermore,tracelithiumappearstolackmanyoftheadverseeffectsassociatedwithso-calledtherapeuticlithiumlevels.Conclusions:Thepresentfindingssuggestthattracelithiummaybeassociatedwithlowersuicideratesandreduceddementiarates.Probably,tracelithiummayinhibittestosteroneandtherebymitigategressionandimpulsivityanddecreasesuicide.Also,tracelithiummayinhibitGSK-3βandtherebyloweramyloidβandtauhyperphosphorylationandinhibitpro-inflammatorycytokinessuchasIL6andIL8andtherebymitigateinflammation,whereastracelithiummaypromoteBDNFandneurogenesisinthegeneralpopulation.Fullarticle(ThisarticlebelongstotheSpecialIssueLithiuminPsychiatricTherapy:Celebrating75thAnniversary)14pes,2016KiB OpenAccessArticleAlbedoReflectionModelinginBifacialPhotovoltaicModulesbyVincenzod’Alessandro,SantoloDaliento,MahmoudDhimishandPierluigiGuerrieroSolar2024,4(4),660-673;doi.org/10.3390/solar(registering DOI)-5Nov2024AbstractThispaperfocusesontheanalyticalmodelingofalbedoreflectioninbifacialphotovoltaicmodules,withparticularemphasisonthebackside.First,wecriticallyexaminetheapproachesproposedintheliterature,presentingthemwithatutorialstyleandauniformnomenclature.Theseapproachesare[...]Readmore.Thispaperfocusesontheanalyticalmodelingofalbedoreflectioninbifacialphotovoltaicmodules,withparticularemphasisonthebackside.First,wecriticallyexaminetheapproachesproposedintheliterature,presentingthemwithatutorialstyleandauniformnomenclature.Theseapproachesaredemonstratedtoyieldphysicallymeaninglessresults,astheyerroneouslyassumethatthegroundareashadedbythemoduleactsasasourceofreflectedirradianceindependentoftheportionofskydomevisibletosuchanarea.Thenweintroduceacorrectionbasedontheviewfactorbetweentheshadedareaandthesky.TheresultisacomprehensiveandaccurateanalyticalmodelthatalsodescribesthecaseofsuspendedpanelsandcanbeeasilyimplementedintoPVplantsimulators.Fullarticle9658;9660;ShowFiguresFigure1Figure2---Figure3---Figure4---Figure5---Figure6---Figure7---Figure8---Figure923pes,1594KiB OpenAccessArticleMachining-InducedBurrSuppressioninEdgeTrimmingofCarbonFibre-ReinforcedPolymer(CFRP)CompositesbyToolTiltingbyTamásSándorTimaandNorbertGeierJ.Manuf.Mater.Process.2024,8(6),247;doi.org/10.3390/jmmp(registering DOI)-5Nov2024AbstractSeveralchallengesariseduringedgetrimmingofcarbonfibre-reinforcedpolymer(CFRP)composites,suchastheformationofmachining-inducedburrsanddelamination.Inarecentdevelopment,appropriate-qualitygeometricfeaturesinCFRPscanbemachinedusingspecialcuttingtoolsandoptimisedmachiningparameters.However,these[...]Readmore.Severalchallengesariseduringedgetrimmingofcarbonfibre-reinforcedpolymer(CFRP)composites,suchastheformationofmachining-inducedburrsanddelamination.Inarecentdevelopment,appropriate-qualitygeometricfeaturesinCFRPscanbemachinedusingspecialcuttingtoolsandoptimisedmachiningparameters.However,thesesuitabletechnologiesquicklybecomeinappropriateduetotheacceleratedtoolwear.Therefore,themainaimofourresearchwastofindanovelsolutionformaintainingthemachinededgequalityevenifthetoolconditionchangedsignificantly.Wedevelopedanovelmechanicaledge-trimmingtechnologyinspiredbywobblemilling,i.e.,thecompositeplatecompressionisgovernedbythepropertooltilting.Theeffectivenessofthenoveltechnologywastestedthroughmechanicalmachiningexperimentsandcomparedwiththatofconventionaledge-trimmingtechnology.Furthermore,theinfluencesofthetooltiltingangleandthepermanentchamfersizeontheburrcharacteristicswerealsoinvestigated.Aone-flutedsolidcarbideendmillwithahelixangleof0°wasappliedfortheexperiments.Themachinededgeswereexaminedtroughstereomicroscopyandscanningelectronmicroscopy.Theimeswereevaluatedthroughdigitalimeprocessing.Ourresultsshowthatmulti-axisedge-trimmingtechnologyproduceslessextensivemachining-inducedburrsthanconventionaledgetrimmingbyanereof50%.Furthermore,wefoundthatthetooltiltinganglehasasignificantimpactonburrsize,whilepermanentchamferdoesnotinfluenceit.Thesefindingssuggestthatmulti-axisedgetrimmingoffersastrongalternativetoconventionalmethods,especiallywhenusingend-of-lifecuttingtools,andhighlighttheimportanceofselectingtheoptimaltooltiltingangletominimizemachining-inducedburrs.Fullarticle18pes,6358KiB OpenAccessArticleImplementationofanImeTamperingDetectionSystemwithaCMOSImeSensorPUFandOP-TEEbyTatsuyaOyama,ManamiHizaki,ShunsukeOkuraandTakeshiFujinoSensors2024,24(22),7121;doi.org/10.3390/s(registering DOI)-5Nov2024AbstractSinceimerecognitionsystemsuseimedataacquiredbyimesensorsforanalysisbyAItechnology,animportantsecurityissueisguaranteeingtheauthenticityofdatatransmittedfromimesensorstosuccessfullyperforminferenceusingAI.Therehebeenreportsofphysicalattacks[...]Readmore.SinceimerecognitionsystemsuseimedataacquiredbyimesensorsforanalysisbyAItechnology,animportantsecurityissueisguaranteeingtheauthenticityofdatatransmittedfromimesensorstosuccessfullyperforminferenceusingAI.TherehebeenreportsofphysicalattacksonimesensorinterfacesbytamperingwithimestocausemisclassificationsinAIclassificationresults.Asacountermeasureainsttheseattacks,itiseffectivetoaddauthenticitytoimedatawithamesseauthenticationcode(MAC).Fortheimplementationofthis,itisimportanttohetechnologiesforgeneratingMACkeysonimesensorsandtocreateanenvironmentforsecureMACverificationonthehostdevice.ForMACkeygeneration,weusedtheCIS-PUFtechnology,whichgeneratesMACkeysfromPUFresponsesandrandomnumbersfromCMOSimesensorvariations.ForthesecureMACverification,weusedTEEtechnology,whichexecutessecurity-criticalprocessesinanenvironmentisolatedfromthenormaloperatingsystem.Inthisstudy,weproposeanddemonstrateanimetamperingdetectionsystembasedonMACverificationwithCIS-PUFandOP-TEEinanopenportableTEEonanARMprocessor.Intheexperiments,wedemonstratedasystemthatcomputedandtransmittedMACforcapturedimesusingtheCIS-PUFkeyandthenperformedMACverificationinthesecureworldoftheOP-TEE.Fullarticle(ThisarticlebelongstotheSpecialIssueSecurityofSensorNetworkSystemsandCircuitsfromaHardwarePerspective)25pes,1517KiB OpenAccessArticleInvestigationoftheFermentationProcessofMoringaoleiferaLeesandItsEffectsontheGrowthPerformance,AntioxidantCapacity,andIntestinalMicrobiomeofProcambarusclarkiibyZhengzhongLi,WeizhuLuo,QunlanZhou,CunxinSun,XiaochuanZheng,BoLiu,KaundaMpange,AiminZhuandAiminWangAntioxidants2024,13(11),1355;doi.org/10.3390/antiox(registering DOI)-5Nov2024AbstractMoringaoleiferaisrenownedforitshighantioxidantactivity.However,fewstudieshebeenconductedonitseffectsonaquaticanimals.TheaimofthisexperimentwastoinvestigatetheoptimalfermentationprocessofM.oleiferaleesandtoevaluatetheeffectsof[...]Readmore.Moringaoleiferaisrenownedforitshighantioxidantactivity.However,fewstudieshebeenconductedonitseffectsonaquaticanimals.TheaimofthisexperimentwastoinvestigatetheoptimalfermentationprocessofM.oleiferaleesandtoevaluatetheeffectsoffermentedM.oleiferaleesoncrayfish(9.11±0.3g)intermsofgrowthperformance,antioxidantcapacity,andgutmicrobiologicalparameters.Byoptimizingthefermentingmaterial/waterratio,fermentationtime,temperature,andstrain,theoptimalfermentationconditionsofa10%waterratio+48h+30°C+inoculationwith2%B.amyloliquefaciens(107CFUmL−1)wereobtained.Theseconditionsresultedinnotableincreasesinthecontentsofthetotalprotein,totalphenols,flonoids,andaminoacids(p<0.05)whilealsoleadingtoanotabledecreaseinthecontentoftanninsincontrasttothoseofunfermentedM.oleiferalees(p<0.05).ThefermentedM.oleifera(FMO)leeswereincorporatedatfiveconcentrations,including0%(control(CT)),0.25%(0.25FMO),0.5%(0.5FMO),1%(1FMO),and2%(2FMO).Theresultsshowedthatthe1FMOgroupperformedbetterintermsofthefinalbodyweight(FBW),weightgainrate(WGR),andspecificweightgainrate(SGR)comparedwiththeCTgroup(p<0.05).Inaddition,amylaseandlipaseactivitiesweresignificantlyhigherinthe1FMOand2FMOgroupscomparedwiththeothergroups(p<0.05).ThefermentedM.oleiferaleessignificantlyincreasedthecatalase(CAT)activityinthecrayfish(p<0.05).Thesuperoxidedismutase(SOD)activitywassignificantlyincreasedinthe0.25FMO,1FMO,and2FMOgroups,andthemalondialdehyde(MDA)contentwassignificantlydecreasedwhiletheglutathioneperoxidase(GSH-PX)contentwassignificantlyincreasedinthe0.5FMO,1FMO,and2FMOgroups(p<0.05).Furthermore,the1FMOgroupwasobservedtosignificantlyincreasetheabundanceofFirmicuteswhilesimultaneouslyreducingtheabundanceofAeromonas(p<0.05)andadjustingthestructureoftheintestinalmicrobiome.Inconclusion,thisstudyestablishedtheoptimalfermentationconditionsforM.oleiferaandobtainedaproductwithhighnutrientandlowtannincontents.Furthermore,theincorporationof1%FMOwasdemonstratedtofacilitategrowth,enhancetheantioxidantcapacity,andoptimizethegutmicrobiologyincrayfish.Fullarticle(ThisarticlebelongstotheSpecialIssueOxidativeStressandNutritioninAquaticAnimals)14pes,3902KiB OpenAccessArticleAnalysisofInfluenceofExcitationSourceDirectiononSoundTransmissionLossSimulationBasedonAlloySteelPhononicCrystalbyZhaofengGuo,ZimingWang,YanchaoZhang,LeiLiandChuanminChenProcesses2024,12(11),2446;doi.org/10.3390/pr(registering DOI)-5Nov2024AbstractAsatypeoflocallyresonantphononiccrystal,alloysteelphononiccrystalsheachievednotableadvancementsinvibrationandnoisereduction,particularlyintherealmoflow-frequencynoise.Theirexceptionalbandgapcharacteristicsenabletheefficientreductionofvibrationandnoiseatlow[...]Readmore.Asatypeoflocallyresonantphononiccrystal,alloysteelphononiccrystalsheachievednotableadvancementsinvibrationandnoisereduction,particularlyintherealmoflow-frequencynoise.Theirexceptionalbandgapcharacteristicsenabletheefficientreductionofvibrationandnoiseatlowfrequencies.However,theconventionaltransmissionloss(TL)simulationoffinitestructuresremainsthebenchmarkforplatestructureTLexperiments.Inthiscontext,theTLintheXY-directionofphononiccrystalplatestructureshasbeenthoroughlyinvestigatedandanalyzed.Giventhecomplexityofsoundweincidentdirectionsinpracticalapplications,theconventionalTLsimulationoffinitestructuresoftendivergesfromreality.Takingtungstensteelphononiccrystalsasanexample,thispaperintroducesanovelfiniteelementmethod(FEM)simulationapproachforanalyzingtheTLofalloysteelphononiccrystalplates.BysettingtheZ-directionastheexcitationsource,thetungstensteelphononiccrystalplateexhibitsdistinctresponsescomparedtoexcitationintheXY-direction.Bycombiningenergybanddiramsandmodes,theimpactofvariousexcitationsourcedirectionsontheTLsimulationsisanalyzed.Itisobservedthatthetungstensteelphononiccrystalplateexhibitsamorepronouncedenergyresponseunderlongitudinalexcitation.TheTLmapexcitedintheZ-directionlackstheflatregionpresentintheXY-directionTLmap.Notably,themaximumTLintheZ-directionis131.5dB,whichissignificantlylowerthanthemaximumTLof298dBintheXY-direction,withamoreregularpeakdistribution.ThisindicatesthattheTLofalloysteelphononiccrystalsintheXY-directioniscloselyrelatedtotheacousticwepropationcharacteristicswithintheplate,whereastheTLintheZ-directionalignsmorecloselywithpracticalsoundinsulationandnoisereductionengineeringapplications.Therefore,futureresearchonalloysteelphononiccrystalplatesshouldnotbeconfinedtotheTLintheXY-direction.FurtherinvestigationandanalysisoftheTLintheZ-directionarenecessary.Thiswillprovideanoveltheoreticalfoundationandmethodologicalguidanceforfutureresearchonalloysteelphononiccrystals,enhancingthecompletenessandsystematicnessofstudiesonalloysteelphononiccrystalplates.Simultaneously,itwilladvancetheengineeringapplicationofalloysteelphononiccrystalplates.Fullarticle(ThisarticlebelongstotheSpecialIssueGreenMetallurgicalProcessandTechnology)9658;9660;ShowFiguresFigure1Figure2---Figure3---Figure4---Figure5---Figure6---Figure7---Figure8---Figure9---Figure10MoreArticles...OpenAccessJournalsAcousticsActaMicrobiologicaHellenica(AMH)ActuatorsAdministrativeSciencesAdolescentsAdvancesinRespiratoryMedicine(ARM)AerobiologyAerospacericultureriEngineeringrochemicalsronomyAIAirAlgorithmsAllergiesAlloysAnalyticaAnalyticsAnatomiaAnesthesiaResearchAnimalsAntibioticsAntibodiesAntioxidantsAppliedBiosciencesAppliedMechanicsAppliedMicrobiologyAppliedNanoAppliedSciencesAppliedSystemInnovation(ASI)AppliedChemAppliedMathAquacultureJournalArchitectureArthropodaArtsAstronomyAtmosphereAtomsAudiologyResearchAutomationAxiomsBacteriaBatteriesBehioralSciencesBeveresBigDataandCognitiveComputing(BDCC)BioChemBioengineeringBiologicsBiologyBiologyandLifeSciencesForumBiomassBiomechanicsBioMedBiomedicinesBioMedInformaticsBiomimeticsBiomoleculesBiophysicaBiosensorsBioTechBirdsBlockchainsBrainSciencesBuildingsBusinessesCCancersCardiogeneticsCatalystsCellsCeramicsChallengesChemEngineeringChemistryChemistryProceedingsChemosensorsChildrenChipsCivilEngCleanTechnologies(CleanTechnol.)ClimateClinicalandTranslationalNeuroscience(CTN)ClinicalBioenergeticsClinicsandPracticeClocks&SleepCoastsCoatingsColloidsandInterfacesColorantsCommoditiesComplicationsCompoundsComputationComputerSciences&MathematicsForumComputersCondensedMatterConservationConstructionMaterialsCorrosionandMaterialsDegradation(CMD)CosmeticsCOVIDCropsCryoCryptographyCrystalsCurrentIssuesinMolecularBiology(CIMB)CurrentOncologyDairyDataDentistryJournalDermatoDermatopathologyDesignsDiabetologyDinosticsDieteticsDigitalDisabilitiesDiseasesDiversityDNADronesDrugsandDrugCandidates(DDC)DynamicsEarthEcologiesEconometricsEconomiesEducationSciencesElectricityElectrochemElectronicMaterialsElectronicsEmergencyCareandMedicineEncyclopediaEndocrinesEnergiesEnergyStoreandApplications(ESA)EngEngineeringProceedingsEntropyEnvironmentalSciencesProceedingsEnvironmentsEpidemiologiaEpigenomesEuropeanBurnJournal(EBJ)EuropeanJournalofInvestigationinHealth,PsychologyandEducation(EJIHPE)FermentationFibersFinTechFireFishesFluidsFoodsForecastingForensicSciencesForestsFossilStudiesFoundationsFractalandFractional(FractalFract)FuelsFutureFutureInternetFuturePharmacologyFutureTransportationGalaxiesGamesGasesGastroenterologyInsightsGastrointestinalDisordersGastronomyGelsGenealogyGenesGeographiesGeoHazardsGeomaticsGeometryGeosciencesGeotechnicsGeriatricsGlaciesGout,Urate,andCrystalDepositionDisease(GUCDD)GrassesHardwareHealthcareHeart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