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review recent advanc vital signal monitor sport health via flexibl wearabl sensor recent year vital signal monitor sport health consid research focus field wearabl sens technolog typic signal includ bioelectr signal biophys signal biochem signal applic field athlet train medic diagnosi prevent rehabilit particular sinc covid pandem dramat increas real time interest person health creat urgent need flexibl wearabl portabl real time monitor sensor remot monitor signal respons health manag end paper review recent advanc flexibl wearabl sensor monitor vital signal sport health precis emerg wearabl devic system health exercis relat vital signal eg ecg eeg emg inertia bodi movement heart rate blood sweat interstiti fluid review first paper creativ present multidimension multimod wearabl sensor system paper also summar current challeng limit futur direct wearabl sensor vital typic signal detect review paper find signal effect monitor use health manag eg diseas predict thank advanc manufactur flexibl electron iot artifici intellig algorithm howev wearabl sensor system multidimension multimod compliant
D000086382;D000076251;D013177
T047;T073;T067;T056
36,298,134
quantifi foregon benefit intellig speed assist due limit avail speed sign across three australian state abl communic speed limit driver use speed sign recognit camera intellig speed assist isa expect bring signific road safeti gain increas speed complianc absenc complet digit speed map due limit cellular connect throughout australia studi estim forgon save isa event speed sign sole reli upon optim advisori isa function first speed relat fatal serious injuri fsi australian state victoria south australia queensland identifi publish effect estim isa appli determin potenti benefit isa subsequ take account speed sign presenc across three state forgon save isa estim fsi would prevent due absent speed signag annual speed relat fsi state unlik prevent isa speed sign infrastructur absent equat econom loss aud million despit number assumpt made regard isa fitment driver accept technolog conserv estim suggest benefit speed sign place consist across road class remot level would far outweigh cost expect absenc speed sign develop utilis methodolog estim foregon benefit isa due suboptim road infrastructur constitut novel contribut research work provid mean identifi infrastructur invest target capitalis benefit offer advanc driver assist technolog
D001334
T056
36,298,133
low snr multi emitt signal sort recognit method base low order cyclic statist cwd time frequenc imag yolov deep learn model difficult tradit signal recognit method effect classifi identifi multipl emitt signal low snr environ paper propos multi emitt signal featur sort recognit method base low order cyclic statist cwd time frequenc imag yolov deep network model quick dissoci label sort multi emitt signal featur time frequenc domain low snr environ first denois signal extract base low order cyclic statist typic modul type radiat sourc signal second time frequenc graph multisourc signal obtain cwd time frequenc analysi cyclic frequenc control balanc nois suppress effect oper time achiev nois suppress multisourc signal low snr final yolov deep network model use classifi sort identifi receiv signal multipl radiat sourc method propos paper high real time perform identifi radiat sourc signal differ modul type high accuraci condit low snr
D000077321
T066
36,298,131
end end deep convolut recurr model nois robust waveform speech enhanc simpl design structur end end deep learn ee dl model gain lot attent speech enhanc number dl model achiev excel result elimin background nois enhanc qualiti well intellig noisi speech design resourc effici compact model real time process still key challeng order enhanc accomplish ee model sequenti local characterist speech signal effici taken consider model paper present resourc effici compact neural model end end nois robust waveform base speech enhanc combin convolut encod decod ced recurr neural network rnns convolut recurr network crn framework aim differ speech enhanc system differ nois type speaker use train test propos model librispeech demand dataset experi show propos model lead improv qualiti intellig fewer trainabl paramet notabl reduc model complex infer time exist recurr convolut model qualiti intellig improv noisi speech perform cross corpus analysi demonstr general propos ee se model across differ speech dataset
D013060;D013067
T041;T040;T054
36,298,130
electrochem determin morin natur food use chitosan graphen glassi carbon modifi electrod report present new applic chitosan graphen glassi carbon electrod ch ggce system determin hydroxyflavonoid morin mr one flavonoid highest favor activ peopl due natur properti squar wave voltammetri swv anod peak current mr observ v increas compar glassi carbon electrod unmodifi surfac area ch ggce chgce gce evalu cyclic voltammetri cm respect addit increas greater compar electrod without modif observ detect limit moll mr relat standard deviat rsds n possibl interfer quercetin rutin applic real sampl also evalu accept result
D006108;D048271
T121;T196;T109
36,298,129
color transfer algorithm imag base two stage convolut neural network color transfer algorithm imag base two stage convolut neural network cnn propos first stage network base vgg architectur backbon refer imag base color transfer rict model use extract featur refer imag target imag realiz color transfer second stage base progress convolut neural network pcnn backbon palett base emot color enhanc pece model adopt enhanc emot color result imag compar palett emot valu proport color refer imag five set experi prove visual effect process model obvious better sever main color method subject evalu object data appli various complex scene near futur also better appli field digit restor old imag archiv medic imag color art restor remot sens imag enhanc infrar imag enhanc field
D007091;D016571
T170;T066
36,298,128
reduc oper expens lorawan base internet remot thing applic lorawan becom wide use low power wide area network technolog implement monitor solut base internet remot thing iort paradigm typic solut interconnect remot sens area data process infrastructur locat urban center oper expens solut depend main traffic sent network backhaul ie link connect remot sens area urban area data usual process store servic provid telecommun compani repres main oper cost iort solut expens usual limit afford iort base system develop countri also scenario oper cost issu address paper present extens lorawan protocol name node awar lorawan na lorawan reduc traffic backhaul thus decreas oper expens iort base system order evalu perform na lorawan compar regular lorawan implement depend network scenario propos extens reduc traffic backhaul rang extens open sever opportun use iort solut applic domain low oper budget eg precis agricultur environment monitor natur hazard earli detect
D059015;D058998
T073;T066
36,298,127
invers soil organ matter content base improv convolut neural network soil organ matter som import sourc nutrient requir crop growth import compon cultiv soil paper studi possibl use deep learn method establish multi featur model predict som content moreov use nongan counti changchun citi studi area sentinel remot sens imag taken data sourc construct dataset use field sampl imag process lenet convolut neural network model chosen deep learn model improv base basic model evalu metric select root mean squar error rmse coeffici determin r comparison r improv model found higher linear regress method support vector machin svm rmse r random forest rf rmse r result show feasibl use multispectr data extract remot sens imag soil organ matter content invers base deep learn model minimum rmse r reach choic featur impact predict model certain extent rank import featur select appropri number featur invers provid better result full featur invers comput speed improv
D012987;D016571
T170;T167
36,298,126
comprehens indic evalu seek elasto magnet paramet high perform cabl forc monitor elasto magnet method promis pathway cabl forc monitor cabl stay bridg action extern appli puls magnet field variat main flux record induct coil local surfac magnet field measur packag magnet sensor typic signal observ elasto magnet effect tension cabl howev perform paramet extract two type elasto magnet signal never strict compar experi meanwhil comprehens indic evalu abil elasto magnet paramet cabl forc character seldom discuss result difficult compar perform elasto magnet devic develop differ team pathway seek new paramet cabl forc monitor obstruct studi elasto magnet calibr experi perform cabl seven wire steel strand simultan measur variat main flux local surfac magnet field comprehens indic consid sensit hysteresi error cabl forc resolut propos examin perform classic elasto magnet paramet new candid one compar studi two new paramet demonstr outstand abil cabl forc measur minimum amplitud induc voltag area curv two point db height voltag measur hall sensor latter recommend high perform cabl forc monitor perspect simplic sensor configur
D008280;D013232
T090;T122
36,298,125
transcutan puls rf energi transfer mitig tissu heat high power demand implant devic applic vivo silico model result articl present develop power loss emul ple system devic studi find way mitig skin tissu heat effect transcutan energi transmiss system tet exist next generat left ventricular assist devic lvad skin thermal profil measur made use ple system prototyp also separ tet porcin model subsequ data analysi separ comput model studi permit understand contribut tissu blood perfus toward cool subcutan tissu around electromagnet coupl area channel ple system prototyp channel tet prototyp implement studi heat effect result power transmiss ineffici investig vari condit power deliveri level implant devic part studi use ple setup implant heat element place subcutan mm bodi surfac vivo porcin model skin two oper mode transmiss coupl power loss emul convent continu transmiss b use propos puls transmiss waveform protocol experiment skin tissu thermal profil studi various level lvad power heat coeffici estim porcin model measur vivo live model euthanis cadav model without blood circul end experi silico model support data interpret provid reliabl experiment numer method effect wireless transderm lvad energ advanc solut separ second part studi conduct separ set pig two channel induct coupl rf drive system implement wireless power transfer wpt resist lvad model explor continu versus puls rf transmiss mode rf transmiss puls durat rang ms ms idl time transmiss result reveal blood perfus play import cool role reduc thermal tissu damag tet applic addit result analysi vivo cadav rsp model silico studi confirm tissu heat effect signific lower live model versus cadav model due presenc blood perfus cool effect
D006361;D006353
T074;T069
36,298,124
tadgan base daili color temperatur cycl generat correspond irregular chang natur light studi develop light advanc reproduc natur light color temperatur benefici human method introduc provid daili color temperatur cycl formula base measur natur light characterist real time reproduct natur light color temperatur link sensor analysi result measur natur light show irregular color temperatur cycl observ year due influenc region weather atmospher condit regular color temperatur cycl observ clear day color temperatur cycl dramat affect health occup howev sinc irregular color temperatur difficult predict easili generat cycl color temperatur clear day current use actual color temperatur natur light reproduc littl research deriv real time period characterist light servic target irregular color temperatur natur light therefor paper propos tadgan time seri anomali detect use generat adversari network base daili color temperatur cycl generat method respond irregular chang natur light color temperatur tadgan model generat natur light color temperatur cycl built learn perform base dataset extract measur natur light characterist databas generat tadgan repeat appli generat color temperatur cycl close chang natur light perform test propos method possibl generat period characterist irregular natur light color temperatur distribut
D008029;D008027
T068;T070
36,298,123
intellig model base effect approach glycem control type diabet type diabet mellitus tdm challeng disord essenti involv regul glucos level avoid hyperglycemia well hypoglycemia purpos research paper propos develop control algorithm use intellig predict control model base uvapadova metabol simul primari object design control law provid automat blood glucos control insulin depend patient improv life qualiti reduc need extrem demand self manag plan various linear nonlinear control algorithm explor implement estim model linear techniqu includ proport integr deriv pid linear quadrat regul lqr nonlinear control strategi includ slide mode control smc implement research work continu monitor glucos level perform comparison base simul result demonstr smc prove effici term regul glucos profil refer level mgdl compar classic linear techniqu brief comparison present linear techniqu pid lqr nonlinear techniqu smc analysi purpos prove efficaci design
D003922
T047
36,298,122
daili estim global solar irradi temperatur use artifici neural network virtual weather station concept castilla len spain articl interpol daili data global solar irradi maximum averag minimum temperatur measur measur carri agrometeorolog station belong agro climat inform system irrig siar spanish region castilla len spain concept virtual weather station vws implement artifici neural network ann serv estim data everi point territori accord geograph coordin ie longitud latitud ann multilay feed forward perceptron mlp use daili train along data record agro meteorolog station valid result conduct station tordesilla valladolid ann model daili interpol test one two three four neuron hidden layer period day june root mean squar error rmse mjm respect regard daili global solar irradi interpol ambient temperatur also perform well appli vws concept rmse c maximum temperatur ann four hidden neuron averag temperatur three hidden neuron minimum temperatur four hidden neuron
D016571;D014887
T170;T070
36,298,121
spatio tempor neural dynam observ non tool manipul object interact previous studi report seri sensori motor relat cortic area affect healthi human present imag tool phenomenon explain familiar tool launch memori retriev process provid basi use tool consequ postul theori may also applic imag tool replac imag daili object graspabl ie manipul therefor design ran experi human volunt particip visual present imag three differ daili object record electroencephalographi eeg synchron addit imag object grasp human hand present particip dynam function connect visual cortex area brain estim find influenc visual stimuli next compar result previous studi investig brain respons particip look tool conclud manipul object caus similar cerebr activ tool also look mu rhythm found look manipul object elicit similar activ see object grasp
D004569;D014793
T060;T023;T029;T034
36,298,120
applic prussian blue electrochem optic sens free chlorin paper electrochem free chlorin fcl sensor form modifi fluorin dope tin oxid coat glass slide glassfto layer prussian blue glassftopb glassftopb sensor exhibit wide linear detect rang mol l fcl sensit cm mol l show high select fcl howev clo clo ion induc neglig amperometr respons high benefici real life sampl analysi ion common found chlorin treat water moreov work optic absorpt measur base investig partial reduc pb carri mean character pb catalyt activ toward fcl investig possibl appli pb optic detect fcl
D002713;D005461
T131;T196;T123;T197
36,298,118
analysi output signal distort galvan isol circuit monitor main voltag waveform differ method galvan isol monitor main voltag waveform evalu aim determin level distort output signal relat input signal suitabl method calcul activ power valu six fixtur test two voltag transform electron circuit current transform standalon current transform simpl circuit optocoupl circuit ad da convert capacit coupl input output waveform mathemat analyz three method calcul spectral compon waveform relat chang thd total harmon distort valu determin similar waveform accord size area bound input output waveform curv determin accuraci activ power calcul base output waveform time differ zero cross input output signal measur calcul second third method perform zero cross time shift correct waveform aspect select appropri type monitor element power consumpt overal circuit complex also evalu
D011211;D004581
T090;T073
36,298,117
deep learn base one class detect system fake face generat gan network recent danger associ face generat technolog attract much attent imag process forens scienc current face anti spoof method base generat adversari network gan suffer defect overfit general problem paper propos new generat method use one class classif model judg authent facial imag purpos realiz method generat model compat possibl dataset new data rather strong depend dataset use train method propos paper follow featur adopt various filter enhanc method basic pseudo imag generat method data enhanc b improv multi channel convolut neural network mccnn adopt main network make possibl accept multipl preprocess data individu obtain featur map extract attent map c first ingenu train main network augment data use weak supervis learn method add attent crop drop data second ingenu train main network train two step first step use binari classif loss function ensur known fake facial featur generat known gan network filter second step use one class classif loss function deal various type gan network unknown fake face generat method compar propos method four recent method experi demonstr propos method improv cross domain detect effici maintain sourc domain accuraci studi show one possibl direct improv correct answer rate judg facial imag authent therebi make great contribut academ practic
D000077321
T066
36,298,116
cotrain base semisupervis approach remain use life predict bear failur bear signific negat impact safe oper equip recent deep learn becom one focus rul predict due potent scalabl nonlinear fit abil supervis learn process deep learn requir signific quantiti label data data label expens time consum cotrain semisupervis learn method reduc quantiti requir label data exploit avail unlabel data supervis learn boost accuraci paper innov propos cotrain base approach rul predict cnn lstm cotrain larg amount unlabel data obtain health indic hi monitor data enter hi rul predict realiz effect propos approach compar analyz individu cnn lstm stack network saelstm cnnlstm exist literatur use rmse mape valu phm dataset result demonstr rmse mape valu propos approach superior individu cnn lstm rmse valu propos approach signific lower saelstm close cnnlstm propos approach also test success real world task thus strong applic valu
D016571
T170
36,298,114
classif tea leav base fluoresc imag convolut neural network develop smartphon comput vision techniqu provid custom conveni approach identifi tea speci well qualiti howev predict model may behav robust due chang illumin condit fluoresc imag induc fluoresc signal typic compon thus may improv predict accuraci paper tea classif method base fluoresc imag convolut neural network cnn propos ultra violet uv led central wavelength nm util induc fluoresc tea sampl fluoresc imag could captur five kind tea includ pre process two cnn base classif model eg vgg resnet util model train imag captur convent fluoresc lamp also test comparison result show accuraci classif model base fluoresc imag better base white light illumin imag perform vgg model better resnet model case classif accuraci fluoresc imag reach prove led induc fluoresc imag techniqu promis use daili life
D016571;D061848
T060;T170
36,298,113
roll circl enhanc detect specif restrict endonucleas activ crude cell extract restrict endonucleas express bacteria investig far play essenti role bacteri defens viral infect besid import biolog role restrict endonucleas great use differ biotechnolog purpos indispens mani clone sequenc procedur method specif detect restrict endonucleas activ therefor find broad use mani purpos current studi demonstr proof concept new principl detect restrict endonucleas activ method base roll circl amplif circular dna product form upon restrict digest special design dna substrat combin activ target restrict endonucleas high specif cre recombinas generat dna circl demonstr specif detect select restrict endonucleas activ even crude cell extract knowledg first exampl sensor system allow activ measur restrict endonucleas crude sampl present sensor system may prove valuabl futur character bacteria speci strain base express restrict endonucleas well quantif restrict endonucleas activ direct extract recombin cell
D004247;D004270
T123;T114
36,298,112
comparison repres microservic technolog term perform use project base sensor network read analyz data sensor crucial mani area life iot concept relat issu becom popular process data draw conclus need think design applic popular solut today microservic monolith architectur addit choic also question technolog work market practic possibl achiev similar result differ lie quick possibl whether approach invent turn optim make right decis begin applic develop determin path success failur main goal articl compar technolog use applic base microservic architectur prepar book lend system whose server part implement three differ version use differ type technolog help achiev goal compar solut spring boot micronaut quarkus reason research investig project use sensor network rang telemedicin applic extens sensor network collect scientif data work environ limit resourc eg ble wifi transmitt critic suppli energi transmitt therefor issu effici henc energi save may key issu depend select program technolog
D017216
T058
36,298,110
high gain embed helix dielectr rod antenna low side lobe level iot applic paper novel embed helix dielectr rod antenna present high gain radiat circular polar cp low side lobe level iot applic differ convent dielectr rod antenna propos antenna integr structur combin advantag helix dielectr rod antenna present antenna main consist three part taper helix primari feed cp dielectr rod print loop embed higher direct dielectr rod end improv gain studi analyz work principl part optimum design oper ghz carri exampl prototyp also fabric test measur result show prototyp provid db maximum gain within length side lobe level db axial ratio better db whole frequenc band compar tradit helix antenna dielectr rod antenna electr length present antenna higher gain lower side lobe level good polar puriti
D059015;D004560
T070;T073
36,298,109
design method two dimension subwavelength grate filter base deep learn seri feedback neural network subwavelength grate structur excel filter characterist tradit design method need lot comput cost work propos design method two dimension subwavelength grate filter base seri feedback neural network realiz forward simul backward design program python studi filter characterist two dimension subwavelength grate rang shape height period duti cycl waveguid layer height two dimension subwavelength grate taken consider dataset contain group data generat numer simul rigor coupl wave analysi rcwa optim network five layer node batch size loss function seri feedback neural network low meanwhil solv problem non converg network revers design due non uniqu data seri feedback neural network give geometr structur paramet two dimension subwavelength grate within correl design result theoret spectrum greater belong strong correl studi provid new method design two dimension subwavelength grate quicker accur compar tradit method
D000077321
T066
36,298,108
research reliabl core control unit highway electromechan equip base virtual sensor data print circuit board pcb core control unit electromechan equip order determin influenc coupl vibrat caus vehicl road interact pcb reliabl roadsid electromechan equip first dynam load vehicl tire solv establish dynam model vehicl road acceler respons data generat road vibrat obtain solv road finit element model final power densiti spectrum acceler respons taken input excit deform respons pcb vehicl road coupl vibrat analyz experiment result show vehicl drive close roadsid vibrat caus vehicl road coupl lead larg deform pcb deform valu reach mm caus structur damag pcb show vehicl road coupl vibrat affect reliabl roadsid electromechan equip thus optim design pcb layout creat optim first order modal frequenc pcb increas reduc risk compon break away pcb substrat
D001334
T056
36,298,107
inflammatori stimuli respons non farada ultrasensit combinatori electrochem urin biosensor work propos novel diagnost biosensor enabl stratif diseas state base sever henc allow clear action diagnos scheme potenti boost current point care poc biosensor diseas requir time critic stratif two key inflammatori biomark interleukin interleukin explor proof concept four class stratif inflammatori diseas sever discuss method superior tradit lab techniqu faster lt minut turn around time work combin diseas biomark categor diseas subtyp sever core biosensor reli electrochem imped spectroscopi transduc subtl inflammatori stimuli input il il limit detect lod pgml biosens scheme util two stage random forest machin learn model state output diseas classif accuraci scheme potenti boost diagnost power current electrochem biosensor better precis therapi improv patient outcom
D016209;D015374
T129;T059;T116;T075
36,298,105
mr mda invari shift scale rotat varianc object recognit use diffract deep neural network diffract deep neural network nn effici accomplish object recognit base rapid optic manipul moreov multipl view nn array mda possess obvious advantag abl effect achiev object classif present target recognit perform high speed dynam way invari typic shift scale rotat varianc target relat complic circumst remain shortcom optic neural network architectur order effici recogn target base develop nn robust mda mr mda propos paper util new train strategi tackl sever random disturb introduc optic neural network system train mr mda model construct us numer verifi demonstr train strategi abl dynam recogn object relat stabl way
D010364;D016571
T170;T041
36,298,104
trust multi domain ddos detect base feder learn aim problem singl detect target exist distribut denial servic ddos attack incomplet detect dataset privaci caus share dataset propos trust multi domain ddos detect method base feder learn first divid type ddos attack differ sub attack design feder learn dataset ddos detect domain use realiz comprehens detect method ddos attack premis protect data privaci domain second order improv robust feder learn allevi poison attack propos reput evalu method base blockchain estim interact reput data reput resourc reput particip comprehens obtain trust feder learn particip identifi malici particip addit also propos combin scheme multi domain detect distribut knowledg base design featur graph malici behavior base knowledg graph realiz memori multi domain featur knowledg experiment result show accuraci categori multi domain ddos detect method reach protect dataset reput evalu method propos paper higher abil identifi malici particip data poison attack threshold set
D018907;D007858
T061;T033;T062;T089;T041
36,298,103
smartphon base facial scan viabl tool facial driven orthodont current paradigm shift orthodont treatment plan base facial driven diagnost requir afford conveni non invas solut face scan therefor util smartphon truedepth sensor tempt truedepth refer front face camera dot projector appl devic provid real time depth data addit visual inform sever applic tout accur solut scan face dentistri clinic accuraci uncertain studi focus evalu accuraci bellusd dental pro app use appl truedepth sensor app reconstruct virtual high resolut version face avail download object paper sixti truedepth scan face compar sixti correspond facial surfac segment cbct differ map creat pair evalu specif facial region result confirm statist signific differ facial region amplitud greater mm suggest current technolog limit applic clinic use clinic util facial scan orthodont evalu requir accuraci lip region mm consid
D000068997;D009970
T091;T073
36,298,101
leverag expert demonstr featur deep reinforc learn floor clean robot navig paper deep reinforc learn drl base approach learn mobil clean robot navig command leverag experi expert demonstr present first expert demonstr robot motion trajectori simul clean robot domain collect relev motion featur regard distanc obstacl head differ toward navig goal extract featur weight optim respect collect data obtain valu assum repres optim motion expert navig reward function creat base featur valu train polici semi supervis drl immedi reward calcul base close expert navig present result show viabil approach regard robot navig well reduc train time
D012371
T090
36,298,099
analysi lane chang decis make behavior autonom vehicl base molecular dynam along rapid develop autonom drive technolog autonom vehicl show trend practic popular autonom vehicl perceiv environment inform sensor provid basi decis make vehicl base paper investig lane chang decis make behavior autonom vehicl first similar autonom vehicl move molecul sought base system similar analysi microscop lane chang behavior vehicl analyz molecular dynam theori base object quantif lane chang intent interact potenti introduc establish molecular dynam lane chang model second relationship lane chang initi time lane chang complet time dynam influenc factor lane chang systemat analyz explor influenc microscop lane chang behavior macroscop traffic flow final sl lane chang model compar molecular dynam lane chang model use sumo platform sumo open sourc multimod traffic experiment platform realiz evalu traffic research result show speed fluctuat autonom vehicl molecular dynam lane chang model reduc number pass vehicl increas averag mean better safeti stabil effici molecular dynam lane chang model autonom vehicl take account dynam factor traffic scene reason show characterist lane chang behavior autonom vehicl
D000063;D001334
T056;T037;T067
36,298,097
human robot cooper strength train base robust admitt control strategi stroke common diseas easili lead lower limb motor dysfunct elder stroke survivor effect train muscl strength leg flexion extens train howev avail lower limb rehabilit robot ignor knee soft tissu protect elder train paper propos human robot cooper lower limb activ strength train base robust admitt control strategi stiff chang law admitt model design base biomechan knee joint guid user make forc correct reduc stress joint soft tissu control adjust model stiff real time accord knee joint angl indirect control exert forc user control strategi avoid excess compress forc joint soft tissu also enhanc stimul quadricep femori muscl moreov dual input robust control propos improv track perform disturb caus model uncertainti interact forc extern nois experi control perform train feasibl conduct eight stroke survivor result show design control effect influenc interact forc reduc possibl joint soft tissu injuri robot also good track perform disturb control strategi also enhanc stimul quadricep femori muscl prove measur muscl electr signal interact forc human robot cooper strength train feasibl method train lower limb muscl knee soft tissu protect mechan
D012371;D055070;D020521
T061;T090;T047
36,298,096
forest fire detect use new rout protocol mobil ad hoc network manet receiv signific interest research sever applic spite develop propos numer rout protocol manet still rout protocol ineffici term send data energi consumpt limit lifetim network forest fire monitor therefor paper present develop locat aid rout lar protocol forest fire detect new rout protocol name lar base reliabl rout protocol larrr use detect forest fire base three criteria rout length node temperatur sens number packet within node buffer ie rout busy perform larrr protocol evalu use wide known evalu measur packet deliveri ratio pdr energi consumpt ec end end delay ee delay rout overhead ro simul result show propos larrr protocol achiev pdr joul ec ee delay ro addit perform propos larrr protocol outperform competitor abl detect forest fire effici
D003195;D000075923
T170;T070;T073;T057
36,298,094
identif singl yeast bud use imped cytometri narrow electrod span imped cytometri wild use singl cell detect sensit essenti determin status singl cell work focus effect electrod gap detect sensit compar electrod span work show narrow electrod span could great improv detect sensit mechan under sensit improv analyz via numer simul small electrod gap allow electr field concentr near detect area result high sensit tini particl find also verifi mixtur suspens polystyren bead result electrod gap detect bead suspens electrod gap addit singl yeast cell analysi found imped cytometri electrod gap easili distinguish bud yeast cell realiz imped cytometri electrod gap experiment result support narrow electrod gap necessari tini particl detect import step develop submicron nanoscal imped cytometri
D012441;D011137
T122;T004;T109
36,298,092
tempor predict model base fast inter cu partit versatil video code versatil video code vvc adopt advanc quad tree plus multi type tree qtmt code structur obtain higher compress effici come cost consider increas code complex effect reduc code complex qtmt base code unit cu partit propos fast inter cu partit method base tempor predict model includ earli termin qtmt partit earli skip multi type tree mt partit first accord posit current cu extract optim cu partit inform posit correspond previous code frame establish tempor predict model base tempor cu partit inform predict current cu partit final reduc cumul error tempor predict model extract motion vector differ mvd cu determin whether qtmt partit termin earli experiment result show propos method reduc inter code complex vvc averag bjontegaard delta bit rate bdbr increas averag random access ra configur
D003300;D044962
T123;T196;T121;T066
36,298,091
model respiratori motion support minim invas destruct liver tumor respiratori movement signific factor may hinder use imag navig system minim invas procedur use destroy focal lesion liver articl aim present method estim displac target point due respiratori movement procedur work real time
D000465;D008113
T170;T191
36,298,089
nois robust multimod audio visual speech recognit system speech base interact applic speech common use interact recognit techniqu edutain base system key technolog smooth educ learn user system interact howev applic real environ limit owe various nois disrupt real environ studi audio visual inform base multimod interact system propos enabl virtual aquarium system use speech interact robust ambient nois audio base speech recognit list word recogn speech api express word vector use pretrain model meanwhil vision base speech recognit use composit end end deep neural network subsequ vector deriv api vision classifi concaten signal nois ratio propos system determin base data four type nois environ furthermor test accuraci effici exist singl mode strategi extract visual featur audio speech recognit averag recognit rate speech use improv audio visual inform combin method help various real world set speech recognit regular util caf museum music hall kiosk
D013060;D013067
T041;T040;T054
36,298,088
hrpi system base wavenet control human cooper loop neurorehabilit purpos exist sever method aim human robot physic interact hrpi provid physic therapi patient use haptic becom option display forc along given path guid physiotherapist protocol critic regard motion control haptic guidanc convey specif clinic protocol given inher patient variabl conclus demand hrpi method need modifi onlin respons neither reject neglect interact forc process patient interact paper consid nonlinear dynam robot interact bilater patient propos novel adapt control guarante stabl haptic guidanc process causal patient interact forc despit unknown robot dynam uncertainti control implement radial basi neural network daughter rasp wavelet activ function identifi coupl interact dynam effici onlin implement output infinit impuls respons filter prune neglig signal node deal overparametr contribut adapt onlin feedback gain global stabl discret pid regul yield stiff control user guid within perceptu forc field effect propos method verifi real time bimanu human loop experi
D012371;D000066530
T061;T090
36,298,087
review function test scenario librari generat connect autom vehicl advanc autonom drive technolog signific impact transport network peopl live connect autom vehicl well surround drive environ increas exchang inform tradit open road test close field test larg cost lengthi durat divers test scenario satisfi autonom drive system need reliabl safe test function test emphasi test sinc featur frontal collis traffic sign warn influenc drive safeti result simul test undoubt emerg new techniqu unman vehicl test crucial aspect simul test creation test scenario emphasi map generat method dynam scenario product method test scenario articl explain mani scenario scenario construct techniqu util process self drive car test thorough analysi state relev research conduct approach creat common scenario well brand new method base machin learn emphas
D000063;D001334
T056;T037;T067
36,298,086
fabric cesium lead bromid coat cellulos nanocomposit effect detect nitrogen gas work fabric cesium lead bromid nanofib cspbbr nfs via attach cesium lead bromid nanocryst cspbbr ncs surfac electrospun cellulos nanofib cnfs employ sensor effect detect gaseous nitrogen cspbbr nfs produc initi produc cspbbr ncs hot inject dispers hexan follow dip cnfs ultrason h morpholog character visual sem tem imag crystallin structur analysi xrd ft ir analysi cspbbr nfs ncs show similar spectra except pl due unavoid damag ultrason gaseous nitrogen subsequ detect use photoluminesc pl properti cspbbr nfs pl intens dramat decreas various flow rate therefor believ propos cspbbr nfs show signific promis use detect sensor various industri field decreas potenti fatal damag worker due suffoc
D002482;D053761
T123;T122;T073;T109
36,298,085
improv misfir fault diagnosi cascad architectur via acoust vehicl character world depend road base transport essenti understand automobil propos acoust road vehicl character system integr approach use sound captur mobil devic enhanc transpar understand vehicl condit non expert user develop implement novel deep learn cascad architectur defin condit multi level network process raw audio extract high granular insight vehicl understand showcas viabil cascad architectur build multi task convolut neural network predict cascad vehicl attribut enhanc misfir fault detect train test model synthes dataset reflect hour augment audio cascad fuel type engin configur cylind count aspir type attribut cascad cnn achiev test set accuraci misfir fault detect demonstr margin nave parallel cnn baselin explor experiment studi focus acoust featur data augment data reliabl final conclud discuss broader implic futur direct applic area work
D016571;D001336
T170;T073
36,298,083
embodi languag gestur residu motor memori modul motor cortex excit abstract word comprehens debat whether abstract semant could repres motor domain concret languag contextu associ motor schema action gestur seem crucial highlight motor system involv present studi transcrani magnet stimul aim assess motor cortex excit chang abstract word comprehens condit word read gestur execut congruent incongru mean twelv healthi volunt engag lexic decis task respond abstract word meaningless verbal stimuli motor cortex excit measur differ stimulus interv ms associ learn train execut gestur follow word process result show signific post train decreas hand motor evok potenti earli process stage ms correspond word congruent gestur present train hypothes trace individu semant memori combin train effect induc inhibit due redund evok motor represent modul cortic excit found meaningless incongru word discuss data consid possibl implic research understand neural basi languag develop languag rehabilit protocol
D009044
T023;T029
36,298,082
particleboard surfac defect detect method research base deep learn algorithm particleboard surfac defect signific impact product qualiti surfac defect detect method essenti enhanc qualiti particleboard convent defect detect method low accuraci effici paper propos yolo v seg lab look v segment lab model base deep learn model integr object detect semant segment ensur real time perform improv detect accuraci model first yolo vs use object detect network ad selay modul improv adapt model recept field seg lab v model design basi deeplab v model object detect network util backbon network featur extract expans rate atrus convolut reduc comput complex model channel attent mechan ad onto featur fusion modul purpos enhanc featur character capabl network algorithm well realiz rapid accur detect lightweight network small object experiment result indic propos yolo v seg lab model map mean averag precis miou mean intersect union recognit effici fps final case studi huizhou particleboard factori inspect carri demonstr tini detect accuraci real time perform propos method miss detect rate surfac defect particleboard less
D000077321
T066
36,298,081
detector processor g base station nonlinear soft bit detect essenti uplink receiv g base station especi user around cell edg howev throughput comput complex alway challeng research industri low cost low power parallel implement soft output detector base sort qr decomposit sqrd k best breadth first search algorithm thus propos reduc comput complex latenc addit save area reduc latenc two improv method use reduc comput cost satur truncat larg valu ped comput reduc sort cost use binari bit sort method reduc sampl set finit accuraci furthermor pipelin vlsi architectur design use nm digit cmos technolog offer semiconductor manufactur intern corpor smic achiev peak throughput mbps consum k gate includ flip flop smic nm technolog run mhz cost reduct compar publish refer design
D000465;D012666
T170;T073
36,298,080
non destruct monitor crop fresh weight leaf area simpl formula convolut neural network crop fresh weight leaf area consid non destruct growth factor due direct relat veget growth carbon assimil sever method measur paramet introduc howev measur paramet use exist method difficult therefor non destruct measur method high versatil essenti object studi establish non destruct monitor system estim fresh weight leaf area trellis crop data collect greenhous sweet pepper capsicum annuum var annuum target growth factor crop fresh weight leaf area crop fresh weight estim base total system weight volumetr water content use simpl formula leaf area estim use top view imag crop convolut neural network convnet estim crop fresh weight leaf area exhibit averag r valu respect simpl calcul abl avoid overfit fewer limit compar previous studi convnet abl analyz raw imag evalu leaf area without addit sensor featur simpl calcul convnet could adequ estim target growth factor monitor system use data collect practic owe versatil therefor propos monitor system wide appli divers data analys
D018515;D002212
T168;T002
36,298,079
formal energi consumpt analysi secur cluster base wsn case studi multi hop cluster algorithm base spectral classif use lightweight blockchain wireless sensor network integr human daili life fast rate applic cover wide rang field includ home secur agricultur climat chang fire prevent forth wsn initi flat network hierarch cluster base network introduc order achiev better perform term energi effici topolog manag delay minim load balanc rout techniqu etc cluster base algorithm prove effici term energi balanc secur less import field data share node wsn sensit depend field applic therefor import ensur secur various level wsn paper propos formal model energi consum secur communic cluster base wsn general concept implement use proof authent poah paradigm blockchain appli multi hop cluster algorithm base spectral classif studi metric residu energi network number aliv node first last dead node
D003195;D000081186
T170;T073;T066;T057
36,298,076
deep e enhanc photoacoust tomographi use three dimension reconstruct high qualiti vascular imag linear array base photoacoust comput tomographi pact wide use vascular imag due low cost high compat current ultrasound system howev linear array transduc inher limit three dimension imag due poor elev resolut studi introduc deep learn assist data process algorithm enhanc imag qualiti linear array base pact compar earlier studi train perform reconstruct data util reconstruct data train two network separ fuse imag data train get featur algorithm numer vivo valid indic approach improv elev resolut recov true size object enhanc deep vessel deep learn assist approach appli translat imag applic requir detail visual vascular featur
D021621;D061088
T062;T060;T073
36,298,074
iri recognit method base parallel iri local algorithm deep learn iri verif biometr recognit technolog wide use various field societi iri recognit technolog stabl conveni biometr recognit technolog wide use secur applic howev iri imag collect actual non cooper environ various nois although mainstream iri recognit method base deep learn achiev good recognit accuraci intent increas complex model hand actual optic system collect origin iri imag normal mainstream iri recognit scheme base deep learn consid iri local stage order solv problem paper propos effect iri recognit scheme consist iri local iri verif stage iri local stage use parallel hough circl extract inner circl iri daugman algorithm extract outer circl iri iri verif stage develop new lightweight convolut neural network architectur consist deep residu network modul residu pool layer introduc effect improv accuraci iri verif iri local experi conduct iri imag collect non cooper environ compar process time graphic process unit central process unit architectur experiment result reveal speed increas time differ iri dataset respect effect iri local accuraci achiev furthermor chose four repres iri dataset collect non cooper environ iri verif experi experiment result demonstr network structur could achiev high precis iri verif fewer paramet equal error rate test databas respect
D056667;D000077321
T066
36,298,073
survey wireless wearabl bodi area network perspect technolog economi deploy wearabl bodi worn devic increas rapid thus research interest main includ technic econom issu network interoper secur power optim busi growth regul address issu proper previous survey paper usual focus describ wireless bodi area network architectur network protocol impli deploy issu awar issu wearabl ban devic emphas previous work defeat problem studi focus feasibl limit secur concern wireless bodi area network aspect economi focus compound annual growth rate devic global market differ regul wearablewireless bodi area network devic differ region countri world feasibl research project wireless bodi area network addit studi focus domain devic equal import physician sportsmen trainer coach comput scientist engin investor outcom studi relat physician fit trainer coach indic use devic mean would abl treat client effect way studi also converg focus businessmen annual growth rate cagr provid manufactur vendor inform differ regulatori bodi monitor regul wban devic therefor provid deploy issu aspect technolog economi time believ survey serv preliminari materi lead advanc improv deploy area wearabl wireless bodi area network final present open issu research direct area wireless bodi area network
D059015;D000076251
T073
36,298,072
weight lsm method improv classif concentr evalu laser induc fluoresc spectra detect biolog agent use optic system open field research current differ spectroscop techniqu allow detect classifi chemic agent fast accur techniqu abl identifi biolog agent still investig optic techniqu laser induc breakdown spectroscopi lib laser induc fluoresc lif alreadi use classif method howev presenc background spectrum similar confound make techniqu specif work show new method achiev better perform term classif concentr evalu method base weight least squar minim method fact use ad hoc weight lsm look specif featur spectra result higher accuraci order make systemat analysi numer test conduct test author abl highlight various advantag drawback new methodolog propos method appli lif measur investig applic method preliminari experiment case result show use new weight lsm possibl achiev better classif concentr evalu perform final possibl applic new method discuss
D007834;D001685
T123;T074;T073
36,298,071
novel background model algorithm hyperspectr ground base surveil foliag detect foliag penetr unsolv import part border surveil remot area regular border cross point detect penetr object eg person car dens foliag various climat condit use visual sensor prone high fault rate foliag scenario contain unpreced amount occlus fact often contain fragment occlus exampl look branch tree current state art detector base deep learn perform inadequ moder heavi fragment occlus foldout project build system combin various sensor technolog tackl problem consequ hyperspectr sensor investig due extend spectral bandwidth beyond rang typic rgb sensor veget exhibit pronounc reflect due poor perform deep learn approach foliag scenario novel background model base detect approach develop dedic characterist hyperspectr sensor name strong correl adjac spectral band high redund algorithm base local dimension reduct princip subspac pixel maintain adapt individu time success applic propos algorithm demonstr foliag scenario compris heavi fragment occlus high dynam background state art deep learn detector perform poor
D000465;D014197
T170;T002
36,298,070
systemat literatur review handheld augment realiti solut peopl disabl mobil applic smartphon tablet becom part everyday live number augment realiti ar technolog applic also increas augment realiti proven effect various area human life educ market train navig peopl right access inform use avail technolog everyon opportun contribut digit inclus peopl often disadvantag regard think access digit technolog includ mobil augment realiti mar specif mar new way human comput interact compar tradit mobil solut object review paper analyz handheld ar solut develop peopl differ disabl identifi access challeng relat interact perform differ task ar also explor present access featur access best practic well potenti futur research direct relat person custom solut individu result literatur review contribut creation access guidelin field handheld ar encourag develop access ar solut benefit peopl disabl also peopl without disabl
D000081411;D063731;D006233
T170;T101
36,298,069
robust featur match point cloud progress consist vote featur match point cloud fundament yet challeng problem remot sens comput vision howev due number nuisanc initi featur correspond generat match local keypoint descriptor may contain mani outlier incorrect correspond remov outlier paper present robust method call progress consist vote pcv pcv aim assign reliabl confid score correspond reason correspond achiev simpli find top score one comput confid score suggest fulli util geometr consist cue correspond propos vote base scheme addit progress mine convinc voter initi correspond set optim score result consid top score correspond last iter experi sever standard dataset verifi pcv outperform five state art method almost test condit robust nois data decim clutter occlus data modal chang also appli pcv point cloud registr show signific improv registr perform
D000465;D021621
T062;T060;T170;T073
36,298,068
assess perform portabl low cost open sourc devic lumin map diy approach massiv applic human centr perspect ubiquit comput enabl prolifer low cost solut captur inform user environ biometr paramet sens diy approach build new low cost system verifi correspond low cost system compar profession devic allow spread applic possibl follow trend author aim present complet diy replic procedur evalu perform low cost video lumin meter consist raspberri pi camera modul method initi consist design develop led panel light cube serv refer illumin sourc lumin distribut along two refer light sourc determin use konica minolta lumin meter approach possibl identifi area light sourc almost equal lumin valu appli frame cover part panel show area near homogen lumin valu appli two system dark space front low cost video lumin meter mount profession refer camera photomet lmk mobil air possibl check discrep lumin valu low cost profession system point differ homogen light sourc primarili consid peripher shade effect better known vignet effect differenti correct factor radianc pcomb function better match lumin valu low cost system profession devic also introduc algorithm differenti factor depend light sourc general diy calibr process describ paper time consum howev subsequ applic various real life scenario allow us verifi satisfactori perform low cost system term lumin map glare evalu compar profession devic
D014785;D010783
T040;T059;T043
36,298,067
empir mode decomposit base featur extract environment sound classif environ sound classif log mel band energi mbes consid success common use featur classif under algorithm fast fourier transform fft valid certain restrict studi address limit fourier transform propos new method extract log mel band energi use amplitud modul frequenc modul present compar studi tradit use log mel band energi featur extract fourier transform log mel band energi featur extract new approach approach base extract log mel band energi estim instantan frequenc instantan amplitud ia use construct spectrogram estim ia made associ empir mode decomposit emd teager kaiser energi oper tkeo discret energi separ algorithm later mel filter bank appli estim spectrogram generat emd tkeo base mbes simpli emd mbes addit employ emd method remov signal trend origin signal generat anoth type mbe call mbes use fft mel filter bank four differ dataset utilis convolut neural network cnn train use featur extract fourier transform base mbes fft mbes emd mbes mbes addit cnns train aggreg three featur extract techniqu combin fft mbes emd mbes individu fft mbes achiev higher accuraci compar emd mbes mbes general system train combin three featur perform slight better compar system train three featur separ
D000465;D016571
T170
36,298,066
health zkidm healthcar ident system base fabric blockchain zero knowledg proof issu ident authent onlin medic servic one key focus healthcar industri recent year healthcar organ use central ident manag system idm limit interoper patient ident institut healthcar also creat isol data island import matter central idm may lead privaci disclosur therefor propos health zkidm decentr ident authent system base zero knowledg proof blockchain technolog allow patient identifi verifi ident transpar safe differ health field promot interact idm provid patient user health zkidm uniqu identifi one id regist zero knowledg proof technolog deploy client provid user proof ident inform automat verifi user ident registr implement chaincod fabric includ upload proof ident inform identif verif function experi show perform health zkidm system achiev throughput higher tps calip
D000081186
T066
36,298,065
character volcan cloud compon use machin learn techniqu seviri infrar imag volcan explos erupt inject sever differ type particl gass atmospher give rise format propag volcan cloud pose serious threat health peopl live near activ volcano caus damag air traffic mani effort devot monitor character volcan cloud satellit infrar ir sensor shown well suitabl volcan cloud monitor task machin learn ml approach develop googl earth engin gee detect volcan cloud classifi main compon use satellit infrar imag implement supervis support vector machin svm algorithm segment combin thermal infrar tir band acquir geostationari msg seviri meteosat second generat spin enhanc visibl infrar imag ml algorithm appli paroxysm explos event occur mt etna found ml approach use combin tir band geostationari satellit effici achiev accuraci abl proper detect track map automat volcan ash cloud near real time
D012970;D018707
T121;T070;T116;T168;T131
36,298,064
adapt task relat compon analysi method ssvep recognit steadi state visual evok potenti ssvep recognit method use subject calibr data differenti brain respons henc provid ssvep base brain comput interfac bcis high perform howev requir suffici calibr eeg trial achiev studi develop new method learn limit calibr eeg trial propos evalu novel adapt data driven spatial filter approach enhanc ssvep detect spatial filter learn stimulus util tempor inform correspond eeg trial introduc tempor inform overal procedur multitask learn approach base bayesian framework adopt perform propos method evalu two public avail benchmark dataset result demonstr method outperform compet method signific margin
D005074;D062207
T074;T042
36,298,063
ship classif anomali detect base spaceborn ai data consid behavior characterist establish satellit constel equip ship automat identif system ai receiv amount ai data continu increas ai data becom import part ocean big data improv abil use ai data maritim surveil necessari explor ship classif anomali detect method suitabl spaceborn ai data therefor paper propos ship classif anomali detect method base machin learn consid ship behavior characterist spaceborn ai data view characterist differ type ship paper introduc extract analysi ship behavior characterist addit tradit geometr featur discuss abil propos method ship classif anomali detect experiment result show classif accuraci five type ship reach system achiev better result classif evalu metric consid ship behavior characterist addit method accur detect anomal ship prove effect feasibl propos method
D012767
T073;T093
36,298,062
revers modif method binari code data paper reveal hidden danger revers data modif distribut softwar network synchron era g may occur import domain telemedicin automat drive use pseudo code formal elabor distribut softwar architectur design pattern necessari deal three challeng modif binari code data distribut softwar architectur base virtual address softwar object chang frequent safeti prior knowledg revers consid system memori valu target object chang extrem speed purpos novel revers modif method binari code data propos accord knowledg base rule method manipul physic data sight data anim data etc game synchron mechan detect chang implement detail method present use high level program languag c low level program languag assembl base multipl snippet reader understand overal distribut softwar develop correspond revers process particular two network game use demonstr paper demonstr result show propos methodolog effici prove formula practic manipul code data distribut softwar use synchron mechan
D011381;D012984
T090;T170;T073
36,298,061
sensehung machin learn approach hunger detect use wearabl sensor percept hunger satieti great import maintain healthi bodi weight avoid chronic diseas obes underweight defici syndrom due malnutrit number diseas pattern character chronic loss percept best knowledg hunger satieti classifi use non invas measur aim develop object classif system paper present multimod sensori system use associ signal process pattern recognit method hunger satieti detect base non invas monitor use empatica e smartwatch respiban wearabl devic jin meme smart glass captur physiolog signal five healthi normal weight subject inact sit chair state hunger satieti pre process signal compar differ featur extract approach either base manual featur engin deep featur learn compar experi carri determin appropri sensor channel devic classifi reliabl discrimin hunger satieti state experi show discrimin featur come three specif sensor modal electroderm activ eda infrar thermopil tmp blood volum puls bvp
D006815;D000076251
T184;T073
36,298,059
microsoft hololen medic healthcar context state art futur prospect world refer context although virtual realiti augment realiti mix realiti emerg methodolog sever year today technolog scientif advanc made suitabl revolution clinic care medic context provis enhanc function improv health servic systemat review provid state art applic microsoft hololen medic healthcar context focus potenti technolog provid digit support clinic care also relat covid pandem studi prove applic feasibl hololen medic healthcar scenario consid review present thorough examin differ studi conduct sinc focus hololen medic sub field applic devic function provid user softwareplatformframework use well studi valid result provid paper could highlight potenti limit hololen base innov solut bring focus emerg research topic telemedicin remot control motor rehabilit
D000086382;D000081411;D000076142
T047;T170;T066;T067
36,298,058
adapt multi roi agricultur robot navig line extract base imag semant segment autom robot import part realiz sustain food product smart agricultur agricultur robot requir power precis navig system abl perform task field aim problem complex imag background well weed light interfer factor visual navig system field greenhous environ faster u net model retain advantag u net model featur jump connect propos base u net model prune optim carri predict crop ridg first corn dataset train obtain weight corn dataset train weight obtain corn dataset use pretrain weight cucumb wheat tomato dataset respect three dataset train separ final navig line ridg yaw angl robot generat b spline curv fit experiment result show paramet improv path segment model reduc mpa recognit accuraci miou faster u net model maiz tomato cucumb wheat respect process speed singl core cpu fpss propos method strong robust predict row differ crop averag angl differ navig line ridg environ corn tomato cucumb wheat respect research provid technic support refer research develop intellig agricultur robot navig equip field
D007091;D012371
T090;T066
36,298,057
soft robot dynam postur percept use kirigami inspir flexibl sensor porous structur long short term memori lstm neural network soft robot creat complic structur function rehabilit postur percept soft actuat critic perform close loop control precis locat essenti sensor soft flexibl characterist affect movement soft actuat paper present novel end end postur percept method employ flexibl sensor kirigami inspir structur long short term memori lstm neural network sensor develop conduct spong materi one step calibr sensor output postur soft actuat could calcul lstm network method valid attach develop sensor soft fiber reinforc bend actuat result show accuraci postur predict spong sensor three kirigami inspir structur rang term r spong sensor generat resist torqu valu mnm maximum bend posit attach soft actuat would minim effect actuat movement kirigami inspir flexibl spong sensor could futur enhanc soft robot develop
D012371
T090
36,298,055
fast non destruct quail egg fresh assess use thermal camera deep learn base air cell detect algorithm revalid expir date egg fresh one import paramet assess qualiti avian egg avail techniqu estim degrad albumen enlarg air cell either destruct suitabl high throughput applic aim research introduc new approach evalu air cell quail egg fresh assess fast noninvas nondestruct method new methodolog propos use thermal microcamera deep learn object detect algorithm evalu new method store quail egg collect thermal imag day label expir date data total expand imag augment techniqu split train valid sampl produc model deep learn algorithm refer look version yolov yolov efficientdet test model new dataset compos egg kept day label expir label date valid methodolog perform measur air cell area highlight thermal imag pixel level thus compar differ weight egg first day storag day acceler age condit statist signific show two variabl air cell weight negat correl r deep learn model could predict fresh f score yolov yolov efficientdet model respect new methodolog fresh assess demonstr best model reclassifi test dataset therefor expir egg could expir date extend anoth week origin label date
D011784;D000077321
T066;T012
36,298,054
trainabl quaternion extend kalman filter multi head attent dead reckon autonom ground vehicl extend kalman filter ekf one wide use bayesian estim method optim control area recent work mobil robot control transport system appli various ekf method especi local howev difficult obtain adequ reliabl process nois measur nois model due complex dynam surround environ sensor uncertainti general default nois valu sensor provid manufactur valu may frequent chang depend environ thus paper main focus design high accur trainabl ekf base local framework use inerti measur unit imus autonom ground vehicl agv dead reckon goal fuse laser imag detect rang lidar sensor base simultan local map slam estim enhanc perform convolut neural network cnns backward propag algorithm gradient descent method implement system optim paramet framework furthermor develop uniqu cost function train model improv ekf accuraci propos work general applic divers imu aid robot local model
D012371
T090
36,298,053
sensit test identifi fatigu analysi neuromuscular status male elit futsal player present studi aim determin neuromuscular status nms monitor test counter movement jump cmj back squat addit load sensit effect evalu state fatigu futsal player preseason seventeen profession futsal player recruit studi age year height bodi mass kg play experi elit year evalu preseason phase two test cmj back squat addit load train session pre vs post test jump platform use extract jump height cmj linear posit transduc use extract mean veloc mv mean propuls veloc mpv back squat exercis signific differ obtain intra subject analysi mv mpv load back squat exercis p lt find lower valu post test conclus monitor nms back squat provid greater sensit object comparison cmj due direct neuromuscular extrapol physic demand futsal
D054874
T055
36,298,052
load effect autom truck platoon highway bridg load strategi autom truck platoon atp gain grow attent due advantag reduc fuel consumpt carbon emiss howev pose serious challeng highway bridg due load effect multipl close space heavi duti truck bridg china atp also great applic prospect massiv ever increas highway freight market therefor load effect atp bridg need thorough investig studi typic chines highway bridg truck adopt atp load model design accord current chines road traffic regul load effect atp highway bridg calcul use influenc line method evalu base chines bridg design specif result show load effect atp bridg increas increas gross vehicl mass truck platoon size decreas increas inter truck space critic wheelbas grade best qualiti standard highway bridg general capabl withstand atp load caution exercis bridg strategi prevent serious advers impact atp load highway bridg propos
D018986;D002244
T121;T196;T073
36,298,051
optic polar divis multiplex transmiss system base simplifi twin ssb modul optic twin singl sideband twin ssb modul due left sideband lsb right sideband rsb signal carri individu data becom attract techniqu fiber transmiss satisfi demand explos increas data traffic paper focus reduc complex twin ssb system enhanc spectral effici propos polar divis multiplex pdm twin ssb modul scheme lsb rsb signal extract use de map algorithm instead optic bandpass filter obpf reduc system complex improv spectral effici pdm employ meet polar multiplex transmiss achiev higher transmiss capac base pdm twin ssb system lsb arr phase shift key psk modul rsb quadratur phase shift key qpsk modul simul bit error ratio ber perform lsb rsb x polar x pol polar pol gbaud gbaud gbaud gbaud gbaud case back back btb km standard singl mode fiber ssmf transmiss simul result verifi effect practic feasibl propos pdm twin ssb scheme futur short distanc transmiss owe low cost simplifi structur low algorithm complex high data transmiss capac
D013685
T066
36,298,049
inform secur privaci railway transport systemat review intellig transport system play key role smart citi futur particular railway transport gain attent promis solut cope mobil challeng larg urban area thank miniaturis sensor deploy fast data network railway industri augment contextu real time inform open door novel personalis servic despit benefit digitalis high complex railway transport entail number challeng particular secur privaci perspect sinc railway asset attract target terror cope strong secur privaci requir cryptographi privaci preserv method utmost import articl provid thorough systemat literatur review inform secur privaci within railway transport system follow well known methodolog propos vom brock et al sketch relev studi outlin main focus challeng solut describ literatur consid technic societ regulatori ethic approach addit discuss remain open issu suggest sever research line gain relev year come
D018907;D016494
T078;T080;T033;T170;T097;T089;T057
36,298,048
simplifi correl index fast real time puls shape recognit simplifi correl index propos use real time puls shape recognit system index similar classic pearson correl coeffici effici implement fpga devic far fewer logic resourc excel perform numer simul synthet data comparison pearson correl show suitabl propos index applic discrimin count puls predefin shape superior perform evid signal nois ratio scenario close uniti fpga implement person method propos correl index success test main result summar
D012815;D000465
T170;T066
36,298,047
investig spars autoencod base featur transfer learn framework hydrogen monitor use microfluid olfact detector altern fuel sourc hydrogen enrich natur gas heng high sought govern global lower carbon emiss consequ recognit hydrogen valuabl zero emiss energi carrier increas result mani countri attempt enrich natur gas hydrogen howev rise concern safe use storag transport h due characterist flammabl combust explos low concentr vol requir high sensit select sensor safeti monitor microfluid base metal oxid semiconduct mos gas sensor strong tool detect lower level natur gas element howev work mechan result lack real time analysi techniqu identifi exact concentr present gase current advanc machin learn model deep learn requir larg dataset train moreov model perform poor data distribut shift instrument variat address problem propos spars autoencod base transfer learn sae tl framework estim hydrogen gas concentr heng mixtur use limit dataset print microfluid detector coupl two commerci mos sensor framework detect concentr simul heng base time seri data collect cost effect microfluid base detector modular gas detector hous metal oxid semiconduct mos gas sensor microchannel coat wall provid select base diffus pace differ gase achiev domin perform sae tl framework compar typic ml model r squar framework implement real world applic fast adapt predict model new type mos sensor respons
D006859;D044085
T090;T196
36,298,046
multi purpos shallow convolut neural network chart imag chart often use graphic represent tabular data due vast expans various field necessari develop comput algorithm easili retriev process inform chart imag help way convolut neural network cnns succeed various imag process classif task nevertheless success train neural network term result accuraci comput requir requir care construct network layer network paramet propos novel shallow convolut neural network scnn architectur chart type classif imag generat valid propos novel network use three differ model first use case tradit scnn classifi model achiev averag classif accuraci second use case consist two previous introduc scnn base model parallel configur share weight paramet mirror updat model model achiev averag classif accuraci third propos use case consist two distinct model generat discrimin train simultan use adversari process generat chart imag plausibl origin extens experiment analysi end evalu provid classif task seven chart class result show propos scnn power tool chart imag classif generat compar deep convolut neural network dcnns higher effici reduc comput time space complex
D016571;D007091
T170;T066
36,297,123
associ object measur physic activ physic function patient sarcopenia hospit rehabilit studi aim investig associ object measur physic activ function improv hospit patient sarcopenia retrospect cohort studi physic activ light intens physic activ lipa moder physic activ mvpa measur use triaxial acceleromet patient sarcopenia undergo rehabilit hospit admiss primari outcom physic function measur sppb activ daili live adl measur function independ measur score motor function fim hospit discharg multipl regress analysi per form investig relationship object measur physic activ function outcom total patient sarcopenia age interquartil rang iqr year includ studi multipl regress analysi lipa associ sppb score discharg p fim discharg mvpa associ sppb fim score discharg conclus lipa admiss independ associ physic function adl patient sarcopenia undergo hospit rehabilit
D055948;D000071939
T061;T047
36,297,122
higher adher mediterranean diet associ improv insulin sensit select marker inflamm individu overweight obes without diabet insulin resist ir chronic low grade inflamm risk factor chronic diseas includ type diabet td cardiovascular diseas studi aim investig two dietari indic mediterranean diet score mds dietari inflammatori index dii associ direct measur glucos metabol adipos biochem measur includ lipid cytokin adipokin overweightobes adult cross section studi includ particip male age year dietari intak via day food diari use measur adher mds point higher score indic adher energi adjust dii e dii score calcul higher score indic pro inflammatori diet ir assess use hyperinsulinem euglycem clamp insulin secret intraven glucos toler test adipos dual energi x ray absorptiometri circul cytokin adipokin concentr multiplex assay higher mds associ greater insulin sensit ci adjust age sex bodi fat lower nf b higher adiponectin adipsin unadjust adjust model higher e dii score associ increas total cholesterol ci ldl cholesterol ci adipos glucos metabol cytokin adipokin greater mds appear associ decreas ir inflammatori marker overweightobes adult
D003924;D038441;D007333
T061;T047;T046
36,297,121
consum awar degre industri food process associ healthi pilot studi consumpt ultraprocess food upf associ lower diet qualiti obes advers health effect much known consum evalu degre process food product relat healthi onlin questionnair complet total dutch italian brazilian consum consum age year mean year male high educ pictur sever common food product evalu degre industri process healthi thirteen food categori includ includ one minim process food mpf one high nsupf nutri score b one low nsupf nutri score e last knowledg attitud upf assess ultraprocess perceiv unhealthi major consum dutch italian brazilian contribut weight gain accord dutch italian brazilian consum low nsupf correct rate toward process healthi countri high nsupf rate process show larg variat healthi score conclus consum rate upf relat low healthi compar mpfs similar nutri score within food categori preliminari find suggest consum incorpor extent degre industri process assess healthi food product
D057140;D005511
T168;T057
36,297,120
breastfeed practic associ factor shanghai cross section studi status breastfeed practic remain unsatisfactori across china region differ persist howev disaggreg data specif provinc limit repres survey determin status breastfeed factor associ breastfeed practic shanghai questionnair design complianc indic assess infant young child feed practic defin world health organ unit nation children fund unicef total children age two year younger day investig among age six month earli initi breastfeed eibf rate among children age six month exclus breastf ebf univari regress analysi show ebf rate influenc multipl factor includ individu socioeconom workplac employ health system subsequ multivari analysi suggest mother higher rate ebf share follow characterist intent breastfe pregnanc breastfeed knowledg higher satisfact support healthcar system deliveri rate ebf shanghai support breastfeed requir measur multipl level includ individu attribut women work employ condit breastfeed knowledg health servic
D001942;D009035
T055;T092;T040;T099;T058
36,297,119
higher potassium intak lower sodium intak may help reduc cvd risk lower salt sensit blood pressur han chines popul sodium na reduct parallel supplement potassium k intak prevent cardiovascular diseas cvds relationship urinari nak ratio salt sensit blood pressur ssbp cvds clear explain assum ssbp mediat relationship nak ratio cvds total subject h urin collect ssbp determin includ studi cvd risk estim use china par equat mediationmultivari logist regress use explor associ nak ratio ssbp cvd risk mediat analysi use logist regress model perform urinari nak ratio ssbp relat estim cvd risk p lt mediat analysi found ssbp mediat approxim associ nak ratio cvd risk find indic higher k intak lower na intak may help prevent cvd risk reduc ssbp risk individu normotens stage one hypertens
D002318;D006973;D012982
T168;T047
36,297,118
protein ai advisor knowledg base recommend framework use expert valid meal healthi diet ai base softwar applic person nutrit recent gain increas attent help user follow healthi lifestyl paper present knowledg base recommend framework exploit explicit dataset expert valid meal offer high accur diet plan span across ten user group healthi subject particip health condit propos advisor built novel architectur includ qualit layer verifi ingredi appropri b quantit layer synthes meal plan first layer implement expert system fuzzi infer reli ontolog rule acquir expert nutrit second layer optim method generat daili meal plan base target nutrient valu rang system effect evalu extens experi establish meal meal plan appropri meal varieti well system capac recommend meal plan evalu involv synthet data includ generat virtual user profil week meal plan result reveal high precis recal recommend appropri ingredi user categori meal plan generat achiev total recommend accuraci nutrient recommend
D000072001;D062407
T061;T055;T033;T056;T079
36,297,117
role inflammatori factor mediat effect lipid nonalcohol fatti liver diseas two step multivari mendelian random studi nonalcohol fatti liver diseas nafld observ dyslipidemia nevertheless probabl mechan dyslipidemia effect nafld remain unclear mendelian random mr util investig relationship lipid inflammatori factor nafld also determin proport mediat interleukin il interleukin il effect lipid nafld
D065626;D050171
T047;T046
36,297,116
moder sever malnutrit identifi control nutrit status conut score signific associ treatment failur periprosthet joint infect preval role malnutrit periprosthet joint infect pji remain unclear studi aim use measur nutrit screen tool assess preval malnutrit pji patient two stage exchang arthroplasti explor associ malnutrit treatment failur studi retrospect includ pji case underw st stage exchang arthroplasti avail nutrit paramet proceed nd stage reimplant recent propos musculoskelet infect societi msis outcom report tool use determin clinic outcom control nutrit status conut nutrit risk index nri napl prognost score nps use identifi malnutrit st nd stage exchang respect multivari logist regress analys perform determin associ malnutrit treatment failur restrict cubic spline model use explor dose respons associ addit risk factor moder sever malnutrit evalu malnourish patient identifi conut nps nri account patient st stage nd stage indic signific improv nutrit status found poorer nutrit status predictor treatment failur conut perform best predict tool moder sever malnutrit st stage identifi conut signific relat treatment failur direct caus pji odd ratio rais nd stage linear dose respons associ also confirm p nonlinear st nd stage gt total treatment failur moder sever malnutrit determin conut associ fold fold elev risk st nd stage respect age year increas number previous surgeri may risk factor moder sever malnutrit overal preval malnutrit pji patient high given strong associ moder sever malnutrit identifi conut pji treatment failur count could promis tool evalu nutrit status pji patient optim treatment outcom
D016459;D044342
T047;T046
36,297,115
mediat moder effect iron homeostasi alter fetal alcohol relat growth neurobehavior deficit previous demonstr prenat alcohol exposur pae relat alter matern infant iron homeostasi given earli iron defici pae lead growth restrict deficit recognit memori process speed hypothes pae relat iron homeostasi alter may mediat andor moder effect pae growth neurobehavior examin hypothesi prenat recruit prospect longitudin birth cohort mother infant pair heavi prenat alcohol exposur mean drinksoccas daysweek control serial growth measur infant neurobehavior assess pae relat growth restrict week year infanc poorer visual recognit memori slower process speed lower complex symbol play higher emot shyness parent report tempera scale lower matern hemoglobin log ferritin ratio shown associ pae appear exacerb pae relat week head circumfer reduct elev matern ferritin shown associ pae appear exacerb pae relat visual recognit memori deficit causal infer analys pae relat elev matern ferritin hemoglobin log ferritin appear statist mediat pae relat growth restrict find support potenti mechanist role iron homeostasi alter fetal alcohol spectrum disord fasd
D011297;D063647
T019;T047;T037
36,297,114
genom wide associ analysi individu uk biobank identifi seven loci associ dietari approach stop hypertens dash diet diet modifi risk factor common chronic diseas mental health disord effect partial genet control estim impact diet individu health epidemiolog genet studi focus individu aspect dietari intak howev analys individu food group isol captur complex whole diet pattern dietari indic enabl holist estim diet account intercorrel food nutrient studi perform first ever genom wide associ studi gwa includ individu uk biobank identifi genet variant associ dietari approach stop hypertens dash diet dash calcul use h recal questionnair collect uk biobank gwa perform use linear mix model implement bolt lmm identifi seven independ singl nucleotid polymorph snps associ dash signific genet correl observ dash sever educ trait signific enrich gene involv amp depend protein kinas ampk activ control appetit regul signal hypothalamus coloc analysi implic gene involv bodi mass index bmi obes neurotic arpp rp h mfhas rhebl mendelian randomis analysi suggest increas dash score reflect healthi diet style causal lower glucos insulin level find knowledg pathway under relationship diet health outcom may signific implic global public health provid futur dietari recommend prevent common chronic diseas
D000073601;D006973;D061385
T061;T121;T047
36,297,113
nutrient nutraceut play role diabet retinopathi systemat review diabet retinopathi dr multifactori neuro microvascular diseas whose preval rang subject affect diabet mellitus repres main caus legal blind adult industri countri treatment advanc stage dr base invas expens therapi strategi avail earli stage prevent mechan under dr involv complex interplay detriment effect hyperglycemia dyslipidemia hypoxia oxid stress provid sever pathway potenti target nutrient nutraceut studi conduct systemat review observ intervent studi evalu effect nutrient andor nutraceut risk dr potenti use treatment patient dr analysi includ studi observ intervent studi suggest promis prevent role nutrient particular vitamin b ie b b e howev investig necessari clarifi potenti clinic applic nutraceut prevent treatment dr
D003930;D006943;D014803;D003920
T121;T127;T109;T033;T047
36,297,112
age specif differ onlin groceri shop behavior attitud among adult low incom unit state onlin groceri shop surg popular know littl onlin groceri shop behavior attitud adult low incom includ differ age
D005523;D063105
T081;T064;T057
36,297,111
dietari pattern influenc gestat weight gain result procriar cohort studi paulo brazil matern pre pregnanc bodi mass index bmi gestat weight gain gwg influenc matern infant outcom studi identifi pattern habitu dietari intak pregnant women paulo explor associ excess weight gain egwg weight first visit lt week use proxi pre pregnanc weight food consumpt assess use hr method administ twice gestat trimest dietari pattern identifi princip compon analysi three dietari pattern identifi veget fruit western brazilian tradit descript data analysi perform use absolut relat frequenc independ variabl multilevel mix effect logist regress use analyz excess gestat gain weight egwg dietari pattern dp brazilian tradit dietari pattern show protect effect egwg p age gt year p subject overweight baselin higher probabl egwg p suggest identif dietari weight inadequaci observ begin pregnanc accompani nutrit intervent weight monitor throughout gestat period reduc risk mother child health
D000078064
T033
36,297,110
toxic investig r hydroxybutyr glycerid vitro male femal rat tcn formul r hydroxybutyr glycerid promis ingredi enhanc keton intak human keton shown benefici effect human health use human tcn must determin safe appropri design safeti studi result bacteri revers mutat assay vitro mammalian micronucleus studi day repeat dose toxic studi rat report herein day studi male femal wistar rat free access drink water contain ppm tcn day respect tcn test negat genotox observ advers effect level noael toxic day studi ppm highest dose administ longer term studi mean overal daili intak tcn ppm group mgkg bwday male mgkg bwday femal concentr palat water like affect led decreas water consumpt male femal compar respect control effect health anim although rat administ high level r hydroxybutyr glycerid sign ketoacidosi
D005989;D060766
T121;T167;T109
36,297,109
haplotyp esr ppard gene associ higher anthropometr chang han chines obes adjust dietari factor month follow obes genet effect may play major role obesogen environ combin case control month follow carri includ total control obes case particip age rang yo bodi mass index bmi obes case normal control rang kgm respect rs estrogen receptor esr rs peroxisom prolifer activ receptor delta ppard show signific associ obes tt odd ratio confid interv ci tttc ci genotyp rs rs signific higher obes risk respect moreov synerg effect two risk snps rgh exhibit almost geometr increas obes risk ci obes individu rgh appar higher chang bmi increas bodi weight gain dietari fiber intak lower total energi intak within month follow
D047494
T116;T192
36,297,108
supplementari inform add valu function food evid choic experi china establish effect choic architectur system enabl peopl improv abil make better food choic encourag transform food system one effici healthi sustain howev affect consum prefer improv inform suppli still crucial issu comprehens explor china mani develop countri studi aim identifi effect inform treatment method increas likelihood purchas willing pay wtp nutrit enhanc egg survey five inform treatment choic experi complet random sampl chines consum mix logit model subsequ appli interpret result found nutrit inform ni health benefit inform hbi andor market status quo inform msq present consum util increas differ scheme differ effect particip wtp hbi scientif research institut provid form leaflet signific effect improv wtp increas wtp consum wtp function egg increas similar respons ni msq inform howev ad ni hbi signific increas valu function egg especi inform present interviewe form short video research broaden present knowledg applic inform communic strategi suggest combin inform content carrier sourc influenc consum prefer wtp nutrit enhanc egg result implic communic practic food enterpris optim market strategi improv product innov add valu function food
D055951;D003258
T168;T054;T080
36,297,107
use low energi diet achiev substanti preconcept weight loss women obes review safeti efficaci obes women reproduct age common emerg evid suggest matern obes increas risk advers pregnanc outcom also endur impact metabol health offspr given manag obes prior pregnanc critic import almost intern guidelin suggest women obes aim achiev weight loss prior pregnanc howev current pre concept weight loss therapi sub optim lifestyl modif typic result modest weight loss may assist fertil alter pregnanc outcom bariatr surgeri result substanti weight loss improv pregnanc outcom mother may harm offspr altern approach manag obes women plan pregnanc need low energi diet vled propos possibl tool assist women obes achiev weight loss prior concept vled induc substanti rapid weight loss concern impact rapid weight loss matern nutrit prior pregnanc inadvert exposur earli fetus ketosi purpos review examin exist literatur regard safeti efficaci preconcept vled program tool achiev substanti weight loss women obes
D015431;D050110
T033;T061
36,297,106
nutrit program histori hypothes role prenat factor prevent metabol diseas narrat review childhood obes numer lifestyl diseas associ undoubt among key problem modern medicin public health howev problem concern present immedi futur also longer term adult health fundament shape first year life fetal period preconceptu period respons proper prepar intern environ life develop fetus pregnanc also signific special role describ phenomenon condit metabol new human attribut theori nutrit program research area pioneer david barker put forward theori stunt phenotyp describ relationship child birth weight larg consequ mother feed behaviour diseas ischaem heart diseas type diabet td dyslipidemia high blood pressur narrat review aim provid overview histori theori prenat mechan involv nutrit program relationship childhood obes metabol diseas
D003924;D063766;D006973;D011297
T033;T047;T037
36,297,105
anti gouti arthriti anti hyperuricemia properti sanghuangporus vaninii inonotus hispidus rodent model acut inflamm hyperuricemia associ gouti arthriti edibl therapeut mushroom sanghuangporus vaninii sv inhibitori effect tumorigenesi inonotus hispidus ih exhibit anti tumor anti inflammatori antioxid properti studi uric acid ua xanthin oxidas xod level hyperuricem mice examin determin regulatori effect sv ih sv ih revers pathogen state elev ua level serum reduc level xod serum liver mice hyperuricemia sv ih affect inflammatori respons rat acut gouti arthriti compar vehicl treat rat monosodium urat crystal msu increas swell ratio right ankl joint sv ih administr signific reduc swell inflammatori cell infiltr sv reduc level interleukin il chemokin ligand ccl wherea ih reduc level matrix metalloproteinas mmp ccl tumor necrosi factor tnf confirm articular soft tissu immunohistochemistri summari data provid experiment evid applic sv ih gouti arthriti hyperuricemia treatment
D033461;D015210
T047
36,297,104
age accompani diet associ remodel phospholipid amino acid scfa metabol healthi centenarian chines longev region window except longev centenarian provid paradigm healthi age investig comprehens metabol profil healthi centenarian utmost import pursuit health longev howev relev report especi studi consid dietari influenc metabol still limit most lack guidanc model healthi age therefor explor signatur integr metabol profil healthi centenarian famous longev region bama counti china effect way global metabolom urin short chain fatti acid scfas fece healthi centenarian elder peopl age longev region analyz non target metabolom combin metabol target analysi result show characterist metabolit relat longev most summar phosphatidylserin lyso phosphatidylethanolamin phosphatidylcholin phosphatidylinositol bile acid amino acid p lt six metabol pathway found signific relev longev furthermor acet acid propion acid butyr acid valer acid total scfa signific increas centenarian group p lt also posit associ dietari fiber intak p lt age accompani diet associ remodel phospholipid amino acid scfa metabol express uniqu metabol signatur relat except longev metabol remodel suggest cognit benefit better antioxid capac attenu local inflamm health span promot process play critic posit role shape healthi age
D008136;D011422
T121;T102;T079;T109
36,297,103
fibr intak chronic kidney diseas fibr recommend chronic kidney diseas ckd major global health problem challeng patient healthcar need fibr consumpt benefit kidney patient act prevent associ risk factor improv intestin microbiota composit reduc metabol acidosi inflamm review focus increas fibr consumpt qualiti fibr recommend addit increas consumpt food natur design resort fortifi food fibr supplement western nutrit practic low fibr rich anim protein satur fat sodium sugar increas risk mortal patient contrari pattern higher consumpt fibr veget protein mediterranean vegetarian plant domin low protein diet plado seem prevent effect associ risk factor influenc ckd progress use fibr supplement achiev evid impact clinic result fibr rich food contain nutrient reduc cardiovascular risk promot diet richer veget guarante adequ energi protein intak challeng multidisciplinari team involv standard care ckd
D004043;D051436
T168;T047
36,297,102
repeat ergogen effect caffein limit reproduc acut caffein mgkg ingest muscular strength power muscular endur studi aim determin effect mgkg acut caffein ingest muscular strength power strength endur repeat potenti ergogen effect across multipl trial twenti two univers standard male rugbi union player year complet studi use doubl blind random counterbalanc within subject experiment design particip complet six experiment trial three caffein three placebo forc time characterist isometr mid thigh pull imtp countermov jump cmj drop jump dj assess follow assess chest press cp shoulder press sp squat sq deadlift dl repetit failur rtf rm anova indic caffein improv cmj dj p lt increas rtf rtf assess p lt individu caffein trial compar correspond placebo trial effect size rang trivial larg favor caffein irrespect main effect treatment identifi anova result demonstr first time perform enhanc effect caffein may repeat day data uniqu indic part attribut session variat caffein ergogen potenti
D058573
T121;T039
36,297,101
impact eat context dietari choic colleg student evid healthi unict project person characterist evalu determin dietari choic year recent studi look impact eat context examin eat context howev challeng propos use web app ecolog momentari assess dietari habit among colleg student catania itali therefor examin impact eat context dietari choic eat away home associ lower odd consum veget fruit legum higher odd consum process meat salti snack alcohol drink compar eat home eat compani peopl associ higher odd consum veget red meat fish legum milk sugar sweeten beverag lower odd consum nut eat alon studi propos new way captur assess eat environ might affect dietari habit base result meal locat social context signific effect dietari choic colleg student point need incorpor aspect epidemiolog studi
D004032;D014675
T168
36,297,100
develop caffein content tabl food drink medic supplement typic consum brazilian popul lack nation tabl inform caffein content food drink dietari supplement medic sold brazil ad noncompulsori disclosur caffein content label food product make difficult estim caffein consumpt brazilian popul therefor studi aim develop brazilian caffein content tabl bracafft
D002110;D061215
T121;T168;T109
36,297,099
biolog effect intraven vitamin c neutrophil extracellular trap endotheli glycocalyx patient sepsi induc ard background diseas modifi mechan high dose intraven vitamin c hdivc sepsi induc acut respiratori distress syndrom ard unclear method perform post hoc studi plasma biomark subject enrol random placebo control trial citri ali explor effect hdivc cell free dna cfdna syndecan surrog neutrophil extracellular trap net format degrad endotheli glycocalyx respect result studi subject baselin cfdna level hdivc subject placebo subject ngl sd ngl ngl sd ngl respect p h cfdna reduct ngl greater hdivc placebo p mean baselin syndecan level hdivc placebo ngml sd ngml ngml sd ngml respect p h placebo subject exhibit ngml ci increas syndecan vs ngml ci p hdivc subject conclus hdivc infus attenu cell free dna syndecan biomark associ sepsi induc ard improv biomark suggest amelior netosi shed vascular endotheli glycocalyx respect
D065206;D018805;D012128;D000073888
T026;T123;T114;T047;T046
36,297,098
vitro vivo evalu antidiabet properti mechan ficus tikoua bur folk medicin ficus tikoua f tikoua use treat diabet long time rare modern pharmacolog investig antidiabet effect mechan studi aim evalu hypoglycem effect use vitro vivo experiment model explor possibl mechan ethanol extract fraction f tikoua n butanol fraction nbf exhibit potent effect inhibit glucosidas activ ic gml promot glucos uptak l adipocyt anim experi show nbf could play antidiabet role amelior random blood glucos fast blood glucos oral glucos toler hbac level islet damag diabet mice activ five subfract nbf nbf nbf evalu nbf show stronger glucosidas inhibit activ ic gml nbf moreov nbf also possess abil promot glucos uptak mediat via pkakt ampk pathway studi demonstr f tikoua possess antidiabet efficaci vitro vivo provid scientif basi folk medicin use nbf might potenti natur candid drug treat diabet mellitus first time antidiabet activ potenti mechan nbf report
D003921;D030681;D010936
T121;T123;T050;T168;T002
36,297,097
target platelet activ factor receptor paf r antithrombot anti atherosclerot nutrient platelet activ factor paf lipid mediat interact receptor paf r carri cell signal howev certain condit bind paf paf r lead activ pro inflammatori prothrombot pathway implic onset develop atherosclerot cardiovascular diseas cvd inflammatori diseas past four decad research focus identif develop paf r antagonist target inflammatori diseas research also shown dietari factor polar lipid polyphenol nutrient constitu may affect paf metabol paf r function various mechan review focus inhibit paf r may contribut reduc cardiovascular diseas risk conclud develop paf r inhibitor human studi requir investig modul paf r may prevent develop atherosclerot cardiovascular diseas may lead develop novel therapeut
D002318;D050197
T047;T046
36,297,096
overview nutrit aspect juvenil idiopath arthriti evid nutrit impair complic juvenil idiopath arthriti jia also recogn jia drug treatment may affect nutrit aspect patient crucial understand impact nutrit aspect patient treatment health life therefor review explor nutrit influenc juvenil idiopath arthriti dietari aspect play essenti role jia patient growth bodi mass index bmi bone miner densiti bmd inflamm recoveri suboptim nutrit seem advers affect long term outcom jia patient nutrit defici potenti affect jia patient general wellb diseas control contribut growth inflamm bmi bmd disturb also possibl verifi correct status nutrient help bodi recov reduc inflamm jia patient sinc nutrit status nutrient play import role regul immun function studi divers analyz effect singl nutrient jia moreov diet nutrit impact difficult interpret pediatr popul due famili influenc dietari regul data collect childrenadolesc despit lack standard among studi potenti benefit healthi diet short long term health wellb jia patient noteworthi
D001171;D044342
T047