PMID int64 35.7M 36.4M | Title/Abstract stringlengths 22 8.78k | MeshTerms stringlengths 7 101 | SemanticTypes stringlengths 4 64 |
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36,236,325 | effect predict presenc coronari heart diseas use machin learn classifi coronari heart diseas one major caus death around globe predic heart diseas one challeng task field clinic data analysi machin learn ml use diagnost assist term decis make predict basi data produc healthcar sector global also perceiv ml techniqu employ medic field diseas predict regard numer research studi shown heart diseas predict use ml classifi paper use eleven ml classifi identifi key featur improv predict heart diseas introduc predict model various featur combin well known classif algorithm use achiev accuraci gradient boost tree multilay perceptron heart diseas predict model random forest give better perform level heart diseas predict accuraci level | D003327;D006331 | T047 |
36,236,324 | effici approach invert soil salin keriya oasi northwestern china base optic radar featur space model soil salin major factor affect agricultur product keriya oasi destruct effect soil fertil could destroy soil structur local land therefor time monitor salt affect area crucial prevent land degrad sustain soil manag studi typic salin area keriya oasi select studi area use landsat oli optic data alo palsar sar data optic remot sens index ndvi savi ndsi si combin optim radar polar target decomposit featur compon vanzylvolg basi featur space theori order construct optic radar two dimension featur space optic radar salin detect index orsdi model construct invers distribut soil salin keriya oasi predict abil orsdi model valid test measur salin valu test result show orsdi model high correl soil surfac salin index orsdi r show highest correl follow index orsdi r orsdi r orsdi r result demonstr potenti orsdi model invers soil salin arid semi arid area | D054712;D012987 | T167;T034 |
36,236,323 | physic base simul soft bodi deform use rgb data provid real time interact immers environ drawn consider attent virtual train field physic base simul suitabl environ howev requir definit adjust coeffici determin materi properti make method complex time consum paper introduc novel approach simul soft bodi deform observ object use shelf rgb sensor propos approach track object movement simul deform iter manner polygon model differ resolut use improv simul speed visual qualiti simul process low resolut model use surfac deform use neighbor featur point detect sensor volumetr model ad intern forc estim visual observ model detail deform low resolut model map high resolut model use mean valu coordin interpol handl topolog deform cut tear part intersect cut tool recogn sensor respond extern forc shown experiment result approach generat convinc deform observ object real time | D010825 | T090 |
36,236,322 | multnet multi scale transform network marin imag segment toward fish imag segment play import role sens system autonom underwat vehicl fish via accur perceiv marin organ surround environ automat catch marin product implement howev exist segment method precis segment marin anim due low qualiti complex shape collect marin imag underwat situat novel multi scale transform network multnet propos improv segment accuraci marin anim simultan possess merit convolut neural network cnn transform allevi comput burden propos network dimension reduct cnn modul drcm base progress downsampl first design fulli extract low level featur fed propos multi scale transform modul mtm captur rich contextur inform differ subregion scale four parallel small scale encod layer differ head construct combin larg scale transform layer form multi scale transform modul compar result demonstr multnet outperform exist advanc imag segment network miou improv marin anim dataset isic dataset consequ propos method import applic valu segment underwat imag | D000090262;D007091 | T056;T066 |
36,236,321 | imag segment quantif droplet dpcr base thermal bubbl print technolog thermal inkjet print generat droplet picolit scale within one second stabli imag analysi workflow use quantifi posit negat valu droplet paper simpleblobdetector detect algorithm use identifi local droplet volum pl bright field imag suppress bright spot scratch perform droplet locat identif polynomi surfac fit pixel grayscal valu fluoresc channel imag effect compens correct imag vignet caus optic path compens fluoresc imag accur classifi posit negat droplet k mean cluster algorithm l sampl solut result read chip produc effect droplet effect droplet identif correct rate imag random statist sampl reach classif accuraci posit negat droplet reach averag paper overcom problem effect classifi posit negat droplet caus poor imag qualiti photograph picolitr ddpcr droplet caus optic hardwar limit | D000465;D007091 | T170;T066 |
36,236,319 | sensit frequenc rang method base laser ultrasound micro crack depth determin laser ultrason method use characterist transmit rayleigh wave frequenc domain determin micro crack depth propos low pass filter model base interact rayleigh wave surfac crack built show stop band call sensit frequenc rang sensit depth surfac crack sum transmiss coeffici sensit frequenc rang defin evalu paramet determin crack depth moreov effect sensit frequenc rang measur distanc evalu result analyz finit element method valid robust depth evalu method estim result surfac crack depth rang mm mm fem model aluminum alloy sampl demonstr laser ultrasound use characterist rayleigh wave frequenc domain work quantit crack depth | D000535;D014465 | T121;T196;T070 |
36,236,318 | trade analysi sensor qualiti data interv prognost perform safeti critic system industri plant aircraft failur occur inevit oper import prevent order maintain high avail reduc risk lot effort direct develop sens technolog failur prognosi algorithm enabl predict mainten success effect reliabl predict mainten reli robust prognosi algorithm also select sensor data acquisit strategi howev mani depth studi trade sensor qualiti data storag view prognosi perform inform often data measur good sensor qualiti reliabl failur predict high impact practition paper author evalu efficaci two factor term remain use life rul predict accuraci uncertainti addit sinc know true degrad inform almost imposs practic author valid use prognosi metric without requir true degrad inform numer case studi conduct identifi relationship sensor qualiti data storag real bear run failur rtf dataset acquir acceleromet contact type microphon non contact type sensor evalu base prognosi perform metric compar term sensor cost effect predict mainten | D000465 | T170 |
36,236,317 | opto field effect transistor detect quercetin cu complex studi explor potenti appli biosensor base silicon nanowir field effect transistor bio nwfet molecular absorpt sensor use quercetin copper cu ion exampl demonstr use opto fet approach detect molecular interact found photon wavelength nm absorb molecular complex absorb level depend cu concentr quantit detect molecular absorpt metal complex perform cu concentr rang photon respons increas linear copper concentr optim bias paramet opto fet approach show improv absorb compar commerci ultraviolet visibl spectrophotometri | D015374;D056831;D053770 | T059;T104;T075;T073 |
36,236,314 | design multi sensor system explor relat finger spastic voluntari movement patient stroke novel wearabl multi sensor data glove system develop explor relat finger spastic voluntari movement patient stroke mani stroke patient suffer finger spastic detriment manual dexter diagnos assess degre spastic requir neurolog test perform train profession estim finger spastic score via modifi ashworth scale mas propos system offer object quantit solut assess finger spastic patient stroke complement manual neurolog test work hardwar softwar compon system describ requir patient perform five design task biomechan measur includ linear angular speed acceler pressur everi finger joint upper limb record make featur task conduct preliminari clinic test subject use system statist analysi perform acquir measur identifi small subset featur like discrimin healthi patient patient suffer finger spastic encourag result valid feasibl propos system quantit object assess finger spastic | D020521;D000071939 | T061;T047 |
36,236,311 | hrst improv hrnet detect joint point pig bodi size pig vital evalu indic growth monitor select breed detect joint point critic accur estim pig bodi size howev joint point detect method focus improv detect accuraci neglect detect speed model paramet studi propos hrnet swin transform block hrst base hrnet detect joint point pig improv model accuraci signific reduc model paramet replac fourth stage paramet redund hrnet swin transform block moreov implement joint point detect multipl pig follow two step first centernet use detect pig postur lie stand hrst use joint point detect stand pig result indic centernet achiev averag precis ap hrst achiev ap real time detect speed imag per second compar hrnet ap hrst improv number model paramet calcul amount reduc respect studi provid technic support accur rapid detect pig joint point use contact free bodi size estim pig | D011187;D000078783 | T082;T033 |
36,236,310 | batteri less nfc potentiostat electrochem point care sensor base cot compon work studi feasibl use batteri less near field communic nfc potentiostat next generat electrochem point care sensor design base nfc microchip microcontrol custom potentiostat base oper amplifi present proof concept prototyp design use quantifi glucos concentr use commerci glucos test strip chronoamperometri measur devic harvest sensor read use mobil phone prototyp use antenna loop cover ferrit sheet ensur stabl oper electron mobil phone use reader use ferrit reduc detun caus proxim metal part mobil phone comparison commerci glucomet devic provid result obtain use commerci glucomet provid propos potentiostat show excel agreement | D011211;D019095 | T058;T073 |
36,236,307 | energi drink decreas left ventricular effici healthi children teenag random trial minor consid main consum group energi drink ed aim studi investig acut effect ed consumpt left ventricular lv hemodynam effici healthi children teenag | D061215 | T168 |
36,236,306 | ident gender recognit use capacit sens floor neural network recent public capacit sens floor shown abl local individu unobtrus manner paper demonstr might possibl util walk characterist extract capacit floor recogn subject gender sever neural network base machin learn techniqu develop recogn gender ident target algorithm train valid use dataset construct inform captur subject walk alon sens floor deep neural network compris bi direct long short term memori blstm provid accur ident perform classifi individu accuraci test data hand convolut neural network cnn accur gender recognit attain accuraci neural network base algorithm benchmark support vector machin svm classifi use mani report work floor base recognit task major neural network outperform svm across accuraci metric | D000069550;D016571 | T170;T066 |
36,236,305 | simplifi attach eeg reveal child develop depend neurofeedback brain acut activ comparison visual numer discrimin task rest develop easi attach electroencephalograph eeg would enabl frequent use assess neurodevelop clinic monitor studi design two channel eeg headband measur devic could use safe easili attach remov without need restraint electrod past gel next explor use devic neurofeedback applic relev educ neurocognit develop develop prototyp visual neurofeedback game size familiar local mascot chang pc display depend user brain wave activ test applic local children play event children event invit experi game upon agreement provid explan game support attach eeg devic game began consecut number visual discrimin task follow open eye rest condit neurofeedback task preliminari linear regress analys least squar method acquir eeg age data particip year old suggest age depend left brain later beta wave neurofeedback stage p alpha wave open eye rest stage p potenti involv wave band result requir valid | D058765 | T061;T041 |
36,236,303 | robot biofeedback post stroke gait rehabilit scope review review aim recommend direct futur research robot biofeedback toward prompt post stroke gait rehabilit investig technic clinic specif biofeedback system bss includ complementari use assist devic andor physiotherapist orient cue literatur search conduct januari septemb cochran embas pubm pedro scopus web scienc databas data regard technic sensor biofeedback paramet actuat control strategi assist devic physiotherapist orient cue clinic particip characterist protocol outcom measur bss effect specif bss extract relev studi total studi review includ stroke survivor studi report visual biofeedback driven accord comparison real time kinet spatiotempor data wearabl sensor threshold studi achiev statist signific improv sensor base clinic outcom least two evalu time point futur research studi effect use multipl wearabl sensor actuat provid person biofeedback user multipl sensorimotor deficit space explor bss complement differ assist devic physiotherapist orient cue accord need lack random control studi explor post stroke stage mental sensori effect bss | D065287;D012371;D020521;D000071939 | T061;T047;T090 |
36,236,301 | underwat holothurian target detect algorithm base improv centernet scene featur fusion aim common problem nois pollut low contrast color distort underwat imag characterist holothurian recognit morpholog ambigu high similar background coexist special ecolog scene paper propos underwat holothurian target detect algorithm fa centernet base improv centernet scene featur fusion first reduc model occup embed devic resourc use efficientnet b backbon network reduc model param flop time efficientnet b increas depth width model improv accuraci model design effect fpt featur pyramid transform combin modul fulli focus mine inform holothurian ecolog scenario differ scale space eg holothurian spine reef waterwe often present scenario holothurian co exist scene inform use auxiliari featur detect holothurian improv detect abil fuzzi small size holothurian final add aff modul realiz deep fusion shallow detail high level semant featur holothurian result show method present paper yield better result curpc underwat target detect imag dataset ap param flop g compar method underwat holothurian detect task method improv accuraci detect holothurian fuzzi featur small size dens scene also achiev good balanc detect accuraci param flop suitabl underwat holothurian detect situat | D000465;D012616 | T170;T204 |
36,236,300 | addit manufactur detect modul integr tune fork enhanc photo acoust spectroscopi start quartz enhanc photo acoust spectroscopi qepa explor potenti tight link method gasvapor sens refer tune fork enhanc photo acoust spectroscopi tfepa tfepa util non piezoelectr metal dielectr tune fork transduc photoacoust excit optic interferometr readout measur amplitud tune fork vibrat particular devis solut base addit manufactur absorpt detect modul adm novelti solut adm entir built monolith micro metal laser sinter mmls techniqu achiev easier cost effect custom extrem miniatur intern volum automat align tune fork acoust micro reson oper high temperatur paper report preliminari experiment result achiev ammonia part per million concentr nitrogen demonstr feasibl propos solut prospect propos tfepa solut appear particular suit hyphen micro gas chromatographi analysi complex solid liquid trace sampl includ compound low volatil illicit drug explos persist chemic warfar agent | D002619;D013287 | T109;T131 |
36,236,298 | data analyt self organ secur provis smart monitor system internet avail integr smart technolog favor everyday object thing offer new area internet thing iot iot refer concept smart devic thing connect creat network new area suffer big data handl secur issu need design data analyt model use new g technolog architectur secur model reliabl data communic presenc legitim node alway one challeng network malici node generat inaccur inform breach user secur paper data analyt model self organ architectur iot network propos understand differ layer technolog process propos model design smart environment monitor system paper also propos secur model base authent detect predict mechan iot network propos model enhanc secur protect network dos ddos attack propos model evalu term accuraci sensit specif use machin learn algorithm | D000077488;D000080487 | T090;T170 |
36,236,297 | smartphon base local passeng commut traffic hub passeng commut differ mode transport traffic hub passeng local key compon effect function space smartphon base local system present work base step head approach adapt depend posit smartphon ie held hand front pocket trouser use acceleromet gyroscop baromet embed smartphon detect step direct movement passeng correct accumul error detect landmark particular staircas elev test local algorithm record real world mobil data test station munich citi center ground truth point achiev posit accuraci smartphon held hand phone place front pocket trouser | D000068997;D014186 | T169;T056;T073 |
36,236,296 | transform energi signal energi disaggreg aim non intrus load monitor estim energi consumpt individu electr applianc disaggreg overal power consumpt sampl smart meter hous commercialindustri build last decad develop deep learn util convolut neural network improv disaggreg accuraci signific especi util two dimension signal represent howev convert time seri two dimension represent still open challeng clear influenc perform energi disaggreg therefor articl six differ two dimension represent techniqu compar term perform runtim influenc sampl frequenc robust toward gaussian white nois evalu result show advantag two dimension imag techniqu univari multivari featur detail evalu result show first activ reactiv power base signatur doubl fourier base signatur well outperform approach low level nois second current voltag signatur outperform low level nois perform best high nois condit show smallest decreas perform increas nois level third effect sampl frequenc energi disaggreg perform time seri imag promin khz khz signific improv term perform could observ | D016571;D009622 | T069;T170;T067 |
36,236,295 | wireless power channel neurostimul reconstruct walk trajectori wireless power four channel neurostimul develop appli select function electr stimul fes four peripher nerv control ankl knee joint rat power neurostimul wireless suppli transmitt devic four nerv connect receiv devic control ankl knee joint rat receiv devic function detect frequenc transmitt signal transmitt coil stimul site nerv select accord frequenc transmitt signal rat toe posit control chang angl ankl knee joint joint angl control stimul current appli nerv independ stimul current adjust proport integr differenti pid feed forward control method visual feedback control system walk trajectori rat hind leg reconstruct studi contribut control multipl joint leg reconstruct function motion walk use robot control technolog | D004599 | T061 |
36,236,294 | paramet adapt tvf emd featur extract method base improv goa order separ sub signal extract featur frequenc signal accur propos paramet adapt time vari filter empir mode decomposit tvf emd featur extract method base improv grasshopp optim algorithm igoa method improv local optim problem goa could also determin bandwidth threshold b spline order tvf emd adapt first nonlinear decreas strategi introduc paper adjust decreas coeffici goa dynam energi entropi mutual inform eemi introduc comprehens consid energi distribut mode depend mode origin signal eemi use object function addit tvf emd optim igoa optim paramet match input signal obtain final featur frequenc signal extract analyz sensit mode larger kurtosi optim experi set benchmark function show igoa enhanc balanc explor develop also improv global local search abil stabil algorithm analysi simul signal bear signal show paramet adapt tvf emd method separ mode specif physic mean accur compar ensembl empir mode decomposit eemd variat mode decomposit vmd tvf emd fix paramet goa tvf emd decomposit perform propos method better propos method improv decomposit decomposit modal alias problem tvf emd could also accur separ frequenc compon signal extract includ featur inform practic signific mechan fault diagnosi | D000465;D012815 | T170;T066 |
36,236,293 | digit forens case studi vehicl infotain system use android auto appl carplay vehicl system one fastest grow field recent year vehicl extrem help understand driver behavior receiv signific attent forens perspect extens forens research previous conduct board vehicl system event data record locat electron control unit manufactur base infotain system howev unlik previous vehicl use manufactur base infotain system vehicl today equip infotain system android auto appl carplay vehicl infotain ivi system connect mobil devic smartphon tablet vehicl period communic smartphon thus network outsid vehicl driver use servic vehicl ever accord increas number divers data store vehicl mobil devic connect vehicl cloud data includ inform signific help investig solv problem forens investig therefor forens ivi system android auto appl carplay becom increas import analyz various forens studi conduct android auto appl carplay research main focus mobil devic connect wire usb connect use wireless base ivi system recent increas howev analysi android auto appl carplay point view insuffici therefor propos forens methodolog fulli consid limit forens analysi conduct various ivi system also develop ivi system forens tool work base propos methodolog | D027845 | T168;T002 |
36,236,292 | explor tactil stimuli wrist worn devic manipul subject time base fill durat illus situat manipul subject time would desir reduc wait time mani studi manipul subject time howev easi use previous method various situat use visual auditori inform studi propos method manipul subject time tactil stimuli wrist worn devic design three type tactil stimuli present method chang number durat time interv stimuli evalu result clarifi element tactil stimuli intent chang subject time confirm method chang subject time sinc studi focus phenomenon subject time chang depend tactil stimuli inform devic find contribut design inform devic user experi | D007088;D013998 | T041;T048;T033 |
36,236,290 | lightweight anonym authent key agreement protocol base coap internet thing solv problem regard lack lightweight secur authent key agreement protocol constrain applic protocol internet thing environ explor secur flaw applic problem current relat research propos new lightweight authent key agreement protocol base coap framework scheme adopt share secret ellipt curv public key technolog ensur anonym communic provid strong secur anti attack capac term secur analysi dolev yao adversari model secur model check analysi method base cpn tool improv order verifi correct secur propos scheme compar scheme regard communic overhead comput cost secur propos scheme provid robust comprehens secur guarante although lightest | D016494;D000080487 | T078;T170;T057;T097;T080 |
36,236,289 | physic inform data driven predict normal strain field concret structur concret exhibit time depend long term behavior driven creep shrinkag rheolog effect difficult predict due stochast natur depend load histori exist empir model use predict rheolog effect fit databas compos larg laboratori test limit time span captur differenti rheolog effect numer model typic requir applic empir constitut model real structur notwithstand optim paramet laboratori databas necessarili ideal specif structur data driven approach use structur health monitor data shown promis toward accur predict long term time depend behavior concret structur current approach requir differ model paramet sensor leverag geometri load work physic inform data driven approach long term predict normal strain field prestress concret structur introduc method employ simplifi analyt model structur data driven model predict temperatur field embed neural network rheolog time function contrast previous approach model train multipl sensor enabl estim strain evolut point interest longitudin section structur captur differenti rheolog effect | D010825 | T090 |
36,236,288 | super resolut procedur target respons kompsat imag recent target analysi use satellit sar imag receiv much attent area satellit sar remot sens spatial resolut target respons satellit sar imag main factor larg effect target analysi perform improv spatial resolut target respons requir enhanc target analysi capabl howev spatial resolut alreadi determin satellit sar system design process solv problem super resolut techniqu appli radar imag util howev applic super resolut techniqu target respons satellit sar imag simpl due follow reason first target motion induc sever blur target respons imped success improv spatial resolut next zero region frequenc spectrum target imag contain target respons also hinder generat super resolv imag success improv spatial resolut satellit sar imag super resolut techniqu combin proper preprocess step cope two issu paper whole super resolut procedur target respons kompsat imag describ best author knowledg descript whole super resolut procedur target respons first ever attempt area satellit sar first target imag contain target respons extract larg scale kompsat imag subsequ target imag transform appropri util super resolut techniqu proper preprocess step consid direct super resolut motion target super resolut techniqu util improv spatial resolut qualiti target imag super resolut perform propos scheme valid use various target imag point static extend static extend move target novelti paper summar follow practic design whole super resolut process real satellit sar imag perform evalu super resolut techniqu real satellit sar imag result show propos scheme led notic improv spatial resolut target imag various type target reliabl comput time addit propos scheme also enhanc pslr islr ic lead clearer scatter inform princip scatter consequ propos method assist extract precis meaning inform target repres kompsat imag mean great potenti target recognit | D009038 | T070 |
36,236,287 | lorawan perform analysi water monitor leakag detect system hous complex autom water leakag detect monitor system recent made possibl internet thing iot howev high cost obstacl appli network larg area low power wide area network lpwan creat specif address long rang iot applic long rang wide area network lorawan one common lpwan studi method monitor detect water leakag hous complex test use lorawan water leakag detect use low pressur system model compris water meter presser sensor smart valv within lora node studi investig use lorawan water monitor leakag detect implement comprehens case studi identifi lorawan feasibl reliabl scalabl water monitor leakag detect simul scenario hous complex vari size number node lorawan evalu flora simul packag object modular network testb omnet platform result indic effici mean water monitor leakag detect hous complex | D003695;D006798 | T093;T058;T073 |
36,236,286 | measur roadway lane width use connect vehicl sensor data unit state three trillion vehicl mile travel annual four million mile public roadway requir regular mainten maintain improv facil agenc often temporarili close lane reconfigur lane geometri complet close road depend scope construct project lane width less feet construct zone impact highway capac crash rate crash data use identifi locat road geometri could improv howev manual process scale well paper describ find use data onboard sensor product vehicl measur lane width mile roadway us us indiana measur use vehicl sensor data compar mobil lidar point cloud ground truth root mean squar error approxim feet novelti result vehicl sensor identifi work zone use lane width substanti narrow foot standard network level use aid inspect verif construct specif conform inform would contribut construct inspect perform agenc safer effici way | D000063;D004779 | T078;T067;T037 |
36,236,284 | accuraci inerti measur unit appli countermov jump track field athlet studi aim assess countermov jump cmj use develop instrument encompass shelf inerti measur unit imu order analyz perform contract phase well determin jump height modifi reactiv strength index rsimod use forc plate fp data refer eight athlet six male two femal perform cmjs imu place fifth lumbar vertebra accuraci measur mean error standard deviat correl comparison test result indic high accuraci high correl r statist differ imu fp contract time r lt negat impuls phase time r lt flight time r lt jump time r lt rsimod r lt minimum forc r lt howev valu relat posit impuls phase expect accuraci use differ devic posit result demonstr develop instrument could util identifi contract phase jump height rsimod minimum forc negat impuls phase high accuraci obtain signal similar fp inform help coach athlet train monitor control devic simpler applic make systemat | D054874;D014142 | T055;T056;T073 |
36,236,283 | dynam hand gestur recognit use electr imped tomographi electr imped tomographi eit appli field human comput interact due advantag includ fact non invas low power consumpt low cost previous work focus static gestur recognit base eit compar static gestur dynam gestur inform achiev function human machin collabor order verifi feasibl dynam gestur recognit base eit tradit excit drive pattern optim paper drive pattern fix excit electrod test first time simplifi measur process dynam gestur improv recognit accuraci dynam gestur dual channel featur extract network combin convolut neural network cnn gate recurr unit gru name cg svm propos new center distanc loss design order simultan supervis intra class distanc inter class distanc result discrimin confus data improv new excit drive pattern classif network recognit accuraci differ interfer data increas new method stronger robust realiz dynam gestur recognit base eit first time | D005868;D010363 | T054;T041 |
36,236,279 | nn base fsk demodul covert channel articl superposit base covert channel demodul propos examin covert waveform fsk modul select impact channel estim error result imperfect sic oper success interfer cancel covert inform demodul process consid especi imperfect nn base demodul propos superior solut tradit fsk correl base receiv examin various case includ hard soft decis detector proven although nn provid ber valu equal zero even perfect sic general overcom tradit correl base fsk demodul simul result show nn base demodul case addit covert channel code provid error free demodul even four time greater channel gain error | D003198 | T066 |
36,236,278 | detect gait event acceler use reservoir comput segment gait cycl multipl phase use gait event detect ged well research subject mani accur algorithm howev algorithm abl perform accur robust ged real life environ physic diseas tend complex implement simpl hardwar system limit comput power memori use wearabl devic studi focus numer implement reservoir comput rc algorithm call echo state network esn base simpl comput step easi implement portabl hardwar system real time detect rc neural network method wide use signal process applic use fast train method base ridg regress adapt larg quantiti varieti imu data need use rc various real life environ ged studi esn use perform offlin ged gait data imu ground forc sensor retriev three databas total healthi adult walk condit main find despit low complex esn robust ged perform compar state art algorithm result show esn robust enough obtain good detect result condit algorithm train variabl data match condit distribut mean absolut error mae detect time esn forc sensor ms defin gait event th percentil compar esn four differ state art algorithm literatur esn obtain mae ms three refer algorithm normal walk indoor outdoor condit yield nd lowest mae nd highest true posit rate specif appli outdoor walk run condit work open door use esn ged applic wearabl sensor long term patient monitor | D005684;D016138 | T169;T056;T033 |
36,236,276 | automat gait analysi vicon video system pilot studi qualiti modern measur instrument strong influenc speed diagnos diseas human musculoskelet system research focus automat method gait analysi studi involv six healthi subject subject walk straight subject made sever gait type casual walk imit non standard gait includ shuffl lame clubfoot walk heel roll heel toe walk hand pocket catwalk type gait record three time video fixat vicon nexus system use total reflect marker place special anatom region goniometri method use walk data divid step step phase kinemat paramet estim formul calcul approach data cluster present purpos angl data interpol interpol coeffici use cluster data data process four cluster group found typic angulogram cluster group present group averag angl calcul statist signific differ found receiv cluster group | D005684;D000077107 | T060;T033 |
36,236,275 | comprehens oper status evalu method mine xlpe cabl present onlin insul monitor fault diagnosi mine cabl extens discuss oper status assess deepli studi consid mine cabl close relat safe stabl oper coal mine power suppli system comprehens evalu method includ analyt hierarchi process ahp membership cloud theori evid theori propos paper order accur assess oper status mine xlpe cabl first membership cloud introduc solv index membership degre weight calcul improv weight vector calcul method second convers base layer indic membership degre target layer trust degre realiz base evid theori cabl oper status judg via trust degre maximum distribut conflict coeffici analyz warn indic bad status base layer final feasibl propos evalu method verifi suffici detail case analysi | D003031;D008906 | T121;T167;T109;T057 |
36,236,274 | autom detect sleep apnea hypopnea event base ghz frequenc modul continu wave radar use convolut recurr neural network preliminari report prospect cohort studi radar promis non contact sensor overnight polysomnographi psg gold standard diagnos obstruct sleep apnea osa preliminari studi aim demonstr feasibl autom detect apnea hypopnea event osa diagnosi base ghz frequenc modul continu wave radar use convolut recurr neural network dataset compris particip ongo osa cohort recruit juli april underw overnight psg radar sensor psg record includ sleep wake includ dataset model develop evalu base five fold cross valid area receiv oper characterist curv classif min segment rang depend osa sever sensit apnea hypopnea event number fals posit detect per particip estim apnea hypopnea index show strong correl pearson correl coeffici good excel agreement intraclass correl coeffici ground truth substanti agreement estim ground truth osa sever kappa statist result demonstr potenti radar standalon screen tool osa | D011825;D020181 | T047;T073 |
36,236,273 | deep learn base adapt symbol decis visual mimo system variabl channel model channel model method deep learn base symbol decis method propos improv perform visual mimo system communic variabl color led array camera although imag process algorithm use color cluster avail correct distort color inform channel color similar base approach limit real world distort overcom limit symbol decis defin multiclass classif problem learn robust classifi channel distort deep neural network learn techniqu appli adapt determin symbol channel distort network design herein compris channel identif symbol decis modul channel identif modul extract channel identif vector symbol determin input imag use two dimension deep convolut neural network cnn symbol decis modul generat featur map combin channel identif vector inform adjac symbol determin symbol via learn correl adjac symbol use one dimension cnn two modul connect togeth learn simultan end end manner also propos new channel model method intuit reflect real world distort factor rather convent addit white gaussian nois channel effici train deep learn network last propos channel distort environ propos method show perform improv averag compar exist euclidean distanc method averag compar svm method | D000077321 | T066 |
36,236,272 | intellig reflect surfac base non los human activ recognit next generat g enabl healthcar system human activ monitor fascin area research support autonom live age disabl communiti camera sensor wearabl non contact microwav sens suggest past method identifi distinct human activ microwav sens approach late attract much interest sinc potenti address privaci problem caus camera discomfort caus wearabl especi healthcar domain fundament drawback current microwav sens method radar non line sight multi floor environ need precis regul condit detect activ high precis paper utilis public avail onlin databas base intellig reflect surfac ir system develop communic sens imag group univers glasgow uk refer ir system work better multi floor non line sight environ work first time use algorithm support vector machin bag decis tree public avail ir data achiev better accuraci subset avail data consid along specif human activ addit work also consid process time taken classier train stage expos ir data previous explor | D006802;D011825 | T073;T052 |
36,236,271 | optim size substat capac distribut network consid dynam time use price mechan applic sensor smart grid promot develop demand side manag dsm howev incent dsm peak valley time use tou price chang load pattern futur substat capac size influenc accord paper propos substat capac size method distribut network consid dsm establish peak valley tou price method base cost benefit analysi particip tou price compar convent fix peak valley ratio dynam divis method propos calcul optim pull ratio tou price consid propos tou price method substat capac size model distribut network propos final econom benefit two substat capac size scheme compar evalu accord select econom indic result case studi demonstr premis reason price consid impact tou substat capac size construct invest user cost power suppli compani save meet power demand economi ration plan scheme signific improv | D011211 | T073 |
36,236,270 | video compress sens reconstruct use unfold lstm video compress sens use measur obtain origin video reconstruct algorithm natur correl video frame exploit featur becom key improv reconstruct qualiti deep learn base video compress sens vcs method propos method overlook interfram inform fail achiev satisfactori reconstruct qualiti use complex network structur exploit interfram inform increas paramet make train process complic overcom limit exist vcs method propos effici end end vcs network integr measur reconstruct one whole framework measur part train measur matrix rather pre prepar random matrix fit video reconstruct task better unfold lstm network util reconstruct part deepli fuse intra interfram spatial tempor inform propos method higher reconstruct accuraci exist video compress sens network even perform well measur ratio low | D044962 | T066 |
36,236,269 | probe contact forc monitor conduct measur left atrial appendag support design novel diagnost therapeut procedur electr properti mani biolog tissu freeli avail inrc iti databas howev particular lower frequenc rang studi investig optim measur protocol key confound need control monitor report howev preliminari work suggest contact forc measur probe tissu sampl affect measur aim paper investig conduct chang due probe contact forc detail twenti ex vivo bovin heart sampl use conduct measur taken left atrial appendag common target medic devic develop conduct measur report work sm sm align literatur averag conduct observ chang contact forc increas n n contrast condit fluid concentr measur area expect lower small chang observ less result suggest laa conduct affect contact forc due fluid concentr tissu work suggest contact forc control futur experi | D020517 | T023 |
36,236,268 | eeg base person identif escal cognit load develop human societi increas import reliabl person identif authent protect person materi intellectu properti person identif base brain signal captur substanti attent recent year signal character origin pattern specif person capabl provid secur privaci individu biometr identif studi present biometr identif method base novel paradigm accrual cognit brain load relax eye close end serious game includ three level increas difficulti use databas contain eeg data differ subject specif pattern eeg signal recogn time domain classifi use convolut neural network propos matlab environ abil person identif base individu task correspond given degre load fusion examin fold cross valid final accuraci achiev individu task task fusion respect reduct eeg channel also investig result impli approach suitabl real applic | D056667;D004569 | T060;T066;T034 |
36,236,266 | novel electrochem sensor base l prolin assist ldh h determin healthi diabet urin paper novel non enzymat modifi glassi carbon gc sensor gc ag past catalyt prolin assist ldh type h determin fabric studi character employ determin hydrogen peroxid content healthi diabet human urin ldh whose composit schemat zn ii al iii oh nh glu glassi carbon mean silver past prolin increas catalyt properti ldh use free solut phosphat buffer voltametr survey first conduct ascertain posit effect induc presenc prolin ie increas sensor sensit deep studi new three electrod amperometr prolin assist ldh sensor whose work electrod type one use perform cyclic voltammetri carri work first static air nitrogen atmospher possibl interfer various substanc oxid antioxid also investig last new amperometr sensor success use determin h level human urin healthi diabet subject effect prolin enhanc properti sensor system also investig limit detect lod new catalyt sensor order mmol l work air mol l work nitrogen atmospher | D003920;D006861 | T121;T047;T130;T197 |
36,236,265 | impact label nois learn base model binari classif physiolog signal label nois omnipres annot process impact supervis learn algorithm work focus impact label nois perform learn model examin effect random class depend label nois binari classif task qualiti assess photoplethysmographi ppg ppg signal use detect physiolog chang qualiti signific impact subsequ task make ppg qualiti assess particular good target examin impact label nois field biomedicin random class depend label nois introduc separ train set emul error associ fatigu bias label data sampl also test differ represent ppg includ featur defin domain expert raw signal imag three differ classifi test noisi train data includ support vector machin svm xgboost resnet resnet handl three represent respect result show two deep learn model robust two tradit machin learn model random class depend label nois represent perspect imag show better robust compar raw signal logit three classifi also analyz predict probabl intend dispers label nois introduc work investig various factor relat label nois includ represent label nois type data imbal good guidebook design robust method label nois futur work | D017156;D060388 | T060;T066;T081 |
36,236,264 | interact secur cloud network crowd comput smart citi data obfusc mani inher issu process manag cloud infrastructur platform cloud platform cloud manag cloud softwar legal issu make contract platform also handl process manag cloud softwar servic legal contract base segment paper tackl issu direct feasibl solut constraint averag one depend estim aod classifi select applic parallel server select apsl asa method propos separ data relat place asa made aod select applic parallel server aod classifi use separ data smart citi data base hybrid data obfusc techniqu data hybrid data obfusc techniqu manag raw data hospit data mask use propos transmiss analysi energi consumpt cryptosystem show total packet deliv compar exist algorithm analysi energi consumpt cryptosystem assumpt show consumpt compar exist state art algorithm averag energi consumpt data obfusc decreas averag energi consumpt data obfusc reduc analysi makespan time data obfusc decreas compar exist state art algorithm studi makespan time data obfusc decreas impress result show strength methodolog | D000465;D000067917 | T170;T066 |
36,236,263 | effici uncertainti awar decis support system disast respons use aerial imageri effici robust search rescu action alway requir natur technic disast occur empow remot sens techniqu build damag assess achiev fuse aerial imag pre post disast environ comput model exist method pay attent assess accuraci without consid model effici uncertainti quantif life critic applic thus articl propos effici uncertain awar decis support system eudss evolv recent comput model effici decis support system realiz uncertainti build damag assess bda specif new effici uncertain awar bda integr recent advanc comput model fourier attent mont carlo dropout uncertainti quantif effici meanwhil robust oper ro procedur design invit expert manual review uncertainti high due extern factor cloud clutter poor illumin procedur prevent rescu team miss damag hous oper effect propos system demonstr public dataset quantit qualit perspect solut first place award intern overhead imageri hackathon | D004190 | T067 |
36,236,262 | non contact real time measur techniqu human bodi potenti use electrostat induct current accompani human bodi motion paper describ non contact real time measur techniqu human bodi potenti use ultra sensit electrostat induct particip move hisher palm posit approxim cm away electrostat induct sensor electrostat induct current flow transient clarifi whether estim human bodi potenti possibl simultan measur veloc particip palm distanc particip palm sensor addit even particip walk posit approxim cm away electrostat induct sensor confirm estim human bodi potenti possibl | D018594 | T023;T016 |
36,236,261 | meta analysi remot hri person hri social assist robot recent due covid pandem relat social distanc measur person activ signific reduc limit spread virus especi healthcar set led loneli social isol vulner popul social assist robot play crucial role minim negat affect name social assist robot provid assist activ daili live cognit physic stimul ongo pandem also acceler explor remot presenc rang workplac home healthcar environ human robot interact hri research also explor use remot hri provid cognit assist healthcar set exist person remot comparison studi investig feasibl type hri individu scenario task howev consensus specif differ person hri remot hri determin furthermor date exact outcom person hri versus remot hri physic social assist robot extens compar influenc physic embodi remot condit address paper investig compar person hri versus remot hri robot assist peopl activ daili live cognit intervent present first comprehens investig meta analysi two type robot presenc determin influenc hri outcom impact user task particular address research question regard experi percept attitud efficaci humanoid non humanoid social assist robot differ popul interact mode use remot hri provid assist daili activ intervent promis emerg field healthcar applic | D000086382;D012371 | T090;T047;T067 |
36,236,259 | volatil olfactori profil umbrian extra virgin oliv oil discrimin mox chemic sensor extra virgin oliv oil evoo best veget oil worldwid time one product victim fraud agri food sector differ qualiti within extra virgin oliv oil categori often miss sever scientif techniqu appli order guarante authent qualiti evoo present studi volatil compound voc gas chromatographi mass spectrometri solid phase micro extract detect gc ms spme organolept analysi offici slow food panel detect small sensor system appli ten evoo umbria central italian region select slow food italian extra virgin oliv oil offici guid includ hundr high qualiti oliv oil result demonstr possibl discrimin ten evoo even belong italian region three techniqu result gc ms spme detect compar discrimin level organolept test except abl better separ evoo discrimin perfect two method correl analysi perform among three methodolog allow us identifi strong associ p valu less studi highlight much mix voc differ even among local evoo correl sensor detect faster chipper compar two techniqu elucid similar discrep appli method | D055549 | T109 |
36,236,257 | heart rate variabl control use biofeedback wearabl system heart rate variabl import physiolog paramet medicin paramet use indic physiolog psycholog well even certain patholog research biofeedback integr field biolog applic physiolog behavior system model autom control studi propos new method model control heart rate variabl heart rate acceler model express frequenc domain model obtain excit respons signal heart rate variabl instrument variabl method minim cost function deliv transfer function repres physiolog phenomenon studi also propos design adapt control use refer model control control heart rate variabl base light actuat design generat condit reflex allow individu self regul state biofeedback synchron action homeostasi model conduct target popul middl age men work firefight forest firefight studi valid propos model well design control actuat simpl experi base indoor cycl experi differ segment name leav inertia non control segment activ control segment | D001676;D000076251 | T061;T073;T033 |
36,236,256 | estim respiratori frequenc women men kubio hrv softwar use polar h movesens medic ecg sensor exercis ramp monitor physiolog metric respiratori frequenc rf shown valu health diseas exercis scienc heart rate hr variabl hrv repres variat rr interv time well analysi ecg waveform variabl shown potenti measur valid rf accuraci use newer consum hardwar softwar applic spars intent report assess precis rf deriv use kubio hrv premium softwar version movesens medic sensor singl channel ecg ms ecg polar h h hr monitor gas exchang data ge rr interv h continu ecg ms ecg record particip perform increment cycl ramp failur result show high correl refer ge h r see ms ecg r see although median valu statist differ via wilcoxon test adjust median differ clinic small h rf breathsmin trivial ms ecg rf breathsmin ecg base measur ms ecg show reduc bias limit agreement maxim bias breathsmin maxim loa breathsmin compar h maxim bias breathsmin maxim loa breathsmin conclus rf deriv combin ms ecg sensor kubio hrv premium softwar track close refer devic exercis ramp illustr potenti system practic usag endur exercis | D015444;D056152 | T056;T061;T201 |
36,236,255 | machin learn blockchain base effici fraud detect mechan paper address problem fraud anomali bitcoin network common problem e bank onlin transact howev financi sector evolv method fraud anomali moreov blockchain technolog introduc secur method integr financ howev along advanc technolog mani fraud also increas everi year therefor propos secur fraud detect model base machin learn blockchain two machin learn algorithm xgboost random forest rf use transact classif machin learn techniqu train dataset base fraudul integr transact pattern predict new incom transact blockchain technolog integr machin learn algorithm detect fraudul transact bitcoin network propos model xgboost random forest rf algorithm use classifi transact predict transact pattern also calcul precis auc model measur accuraci secur analysi propos smart contract also perform show robust system addit attack model also propos protect propos system attack vulner | D000081186 | T066 |
36,236,253 | acf arm cctv footag dataset enhanc weapon detect thailand like countri worldwid experienc instabl recent year current trend continu number crime endang peopl properti expand close circuit televis cctv technolog common util surveil monitor ensur peopl safeti weapon detect system help polic offic limit staff minim workload screen surveil sinc cctv footag captur entir incid scenario weapon detect becom challeng due small weapon object footag due public dataset provid inadequ inform interest scope cctv imag weapon detect arm cctv footag acf dataset self collect mockup cctv footag pedestrian arm pistol knive collect differ scenario studi aim present imag till base deep learn small weapon object detect experi conduct public benchmark dataset mock attack evalu detect perform propos till approach achiev signific better map time imag tile approach use train differ object detect model analyz improv ssd mobilenet v tile acf dataset achiev map pistol knife evalu propos method enhanc small weapon detect use tile approach acf dataset signific enhanc perform weapon detect | D003415;D013690 | T054;T073;T068 |
36,236,251 | recov user privat train imag data gradient feder learn exchang gradient wide use method modern multinod machin learn system eg distribut train feder learn gradient weight model presum safe deliveri howev studi shown gradient invers techniqu reconstruct input imag pixel level studi review research work data leakag gradient invers techniqu categor exist work three group bias attack ii optim base attack iii linear equat solver attack accord characterist algorithm propos one privaci attack system ie singl sampl reconstruct attack system ssras system carri imag reconstruct regardless whether label determin extend gradient invers attack fulli connect layer bias term attack fulli connect layer convolut neural network without bias term also propos improv r gap alogrithm utliz dlg algorithm deriv ground truth furthermor introduc rank analysi index ra measur possibl whether user raw imag data reconstruct rank analysi deriv virtual constraint vi weight compar repres attack algorithm reconstruct attack system recov user privat train imag high fidel attack success rate experiment result also show superior attack system state art attack algorithm | D007091;D016571 | T170;T066 |
36,236,250 | review advanc measur skin hydrat base sens optic electr tissu properti presenc water skin crucial maintain properti function skin particular outermost layer known stratum corneum consist lipid barrier extern exposur affect skin hydrat level turn alter mechan physic properti monitor alter skin water content applic clinic cosmet athlet person set mani techniqu measur paramet investig electr base method current wide use commerci devic furthermor explor optic techniqu measur hydrat grow due outcom observ penetr light differ level paper comprehens review measur techniqu focus recent experiment studi state art devic | D003358;D012867 | T022;T167;T073 |
36,236,249 | effect physic fault three shaft gas turbin perform full part load oper gas path analysi approach dynam model use examin gas turbin perform studi present investig effect physic fault perform three shaft gas turbin full load part load oper nonlinear steadi state perform model develop valid datasheet engin manufactur use gather input valid data engin judgement optim use follow valid engin perform model engin manufactur data use physic fault compon health paramet relationship physic fault implant perform model evalu perform characterist gas turbin degrad state full part load oper impact eros foul gas turbin output paramet compon measur paramet impact degrad compon anoth primari compon engin investig simul result show deviat output paramet compon isentrop effici due compressor foul eros linear load variat almost nonlinear downstream compon result discuss follow plot | D017711 | T170;T077 |
36,236,247 | benchmark various lidar sensor use self drive vehicl real world environ paper report benchmark result lidar sensor livox horizon robosens blickfeld cube blickfeld cube rang velodyn velarray h innoviz pro idea test sensor differ typic scenario defin real world use case mind order find sensor meet requir self drive vehicl defin static dynam benchmark scenario static scenario lidar detect target move measur dynam scenario lidar sensor mount vehicl drive toward detect target test mention lidar sensor scenario show result regard detect accuraci target discuss use deploy self drive car | D001334;D019985 | T056;T081 |
36,236,245 | genet approach joint transmiss group next generat cellular network coordin multipoint joint transmiss jt one critic downlink transmiss technolog improv network throughput howev multipl cell jt group user data transmit simultan result consider backhaul burden even cell alreadi equip cach fifth generat network jt group without effect util cach data still caus unnecessari backhaul data traffic articl investig jt group problem consider cach cell propos genet approach solv problem object minim amount backhaul data traffic subject data rate requir user simul result show propos generic algorithm signific decreas backhaul bandwidth consumpt compar two baselin | D000465 | T170 |
36,236,244 | coaxial mach zehnder digit strain sensor made taper depress clad fiber line digit optic sensor propos built taper depress clad singl mode fiber model coaxial mach zehnder interferomet principl oper optic digit sensor base comput number optic power transfer turn point pttp transmiss data compon bicon taper high valu pttp high spectral resolut high extinct ratio low insert loss model fabric character proof concept line digit strain sensor fabric character present free spectral rang nm produc pttp stretch l therefor produc digit resolut mpttp sensor also produc quasi symmetr respons stretch compress | D007368;D055100 | T059;T073 |
36,236,241 | perform contactless respiratori rate monitor albus home tm autom system nocturn monitor home valid studi respiratori rate rr clinic import predictor cardio respiratori deterior mainstay clinic measur compris manual count chest movement variabl clinician limit sporad read emerg solut limit poor adher accept clinic valid albus home tm contactless autom bedsid system nocturn respiratori monitor overcom limit studi aim valid accuraci albus home compar gold standard real world sleep environ particip undertook overnight monitor simultan use albus home gold standard polygraphi thoraco abdomin respiratori effort belt somnomedicseu refer rr read obtain clinician count polygraphi data albus system refer rrs measur segment report breathsminut compar accuraci defin percentag rrs albus system within breathsminut refer count across divers valid set particip mean accuraci exceed maintain across differ particip characterist bland altman analysi albus rrs strong agreement refer mean differ limit agreement breathsminut respect albus home contactless yet accur system autom respiratori monitor valid gold standard method enabl long term reliabl nocturn monitor without patient burden | D012119;D056152 | T039;T201 |
36,236,240 | neural network base site dermatolog diagnosi hyperspectr epiderm imag cancer origin uncontrol growth healthi cell mass chromophor hemoglobin melanin character skin spectral properti allow classif lesion differ etiolog hyperspectr imag system gather skin reflect transmit light sever wavelength rang electromagnet spectrum enabl potenti skin lesion differenti machin learn algorithm challeng data avail tini inter intra tumor variabl introduc pipelin base deep neural network diagnos hyperspectr skin cancer imag target handheld devic equip low power graphic process unit routin clinic test enhanc data augment transfer learn hyperparamet tune propos architectur aim meet improv well known dermatologist level detect perform concern benign malign multiclass classif task abl diagnos hyperspectr data consid real time constraint experi show sensit specif benign malign classif specif multiclass scenario auc measur suggest classif perform improv adequ threshold concern binari segment measur skin dice iou higher estim consum watt segment epiderm lesion u net architectur meet impos time limit henc diagnos hyperspectr epiderm data assum real time constraint | D008545;D012878 | T191 |
36,236,239 | rotat singl antenna spoof signal detect method base ipnn tradit carrier phase differenti detect technolog main reli spatial process method use antenna array move antenna detect spoof signal appli static singl antenna receiv aim problem paper propos rotat singl antenna spoof signal detect method base improv probabilist neural network ipnn receiv antenna rotat constant speed carrier phase doubl differ real signal chang incid angl satellit accord featur classif detect spoof signal realiz first rotat singl antenna receiv collect carrier phase valu perform doubl differ process construct ipnn model whose smooth factor adapt adjust accord type failur mode final use ipnn model realiz classif process carrier phase doubl differ observ obtain decept detect result addit order reflect method certain practic valu simul spoof scenario satellit signal effect identifi abnorm satellit signal accord detect result inter satellit differenti combin actual experi indic detect accuraci propos method spoof signal reach signific better classic probabilist neural network pnn back propag neural network bpnn method implement fix base station receiv real time detect forward spoof | D015233;D016571 | T170;T081 |
36,236,238 | gait recognit self supervis learn gait featur base vision transform gait uniqu biometr trait sever use properti recogn remot without cooper individu low resolut camera difficult obscur therefor suitabl crime investig surveil access control exist approach gait recognit general belong supervis learn domain sampl dataset annot real world annot often expens time consum moreov convolut neural network cnns domin field gait recognit mani year extens research recent method vision transform vit remain unexplor manuscript propos self supervis learn ssl approach pretrain featur extractor use dino model automat learn use gait featur vision transform architectur featur extractor use extract gait featur fulli connect neural network classifi train use supervis approach experi casia b ou mvlp gait dataset show effect propos approach | D005684;D016571 | T170;T033 |
36,236,237 | develop valid algorithm digit ecg paper imag electrocardiogram ecg signal describ heart electr activ allow detect sever health condit includ cardiac system abnorm dysfunct nowaday patient medic record still paper base especi made past decad import collect digit ecg twofold first medic applic easili implement engin approach ecg treat signal second paper ecg deterior time therefor correct evalu patient clinic evolut alway guarante goal paper realize automat convers algorithm paper base ecg imag digit ecg signal algorithm involv digit process test imag set subject also patholog quantit analysi digit method carri evalu repeat reproduc algorithm digit accuraci evalu entir signal six ecg time paramet r r peak distanc qrs complex durat qt interv pq interv p wave durat heart rate result demonstr algorithm effici averag pearson correl coeffici measur error ecg time paramet alway less mm due promis experiment result algorithm could embed graphic interfac becom measur collect tool cardiologist | D004562;D012815 | T074;T060;T066 |
36,236,236 | real time scene monitor deaf blind peopl estim least million peopl worldwid live sever deaf blind mani experienc vari degre deaf blind exist option assist most limit walk cane guid dog human care propos wearabl devic har multi antenna mmwave radar transceiv haptic feedback array real time detect person move within scene present find seri workshop particip class multi sensori impair msi demonstr relat success approach potenti integr exist assist msi futur | D019987;D000076251 | T101;T073 |
36,236,235 | loop closur detect base residu network capsul network mobil robot loop closur detect base residu network resnet capsul network capsnet propos address problem low accuraci poor robust mobil robot simultan local map slam complex scene first residu network featur code strategi introduc extract shallow geometr featur deep semant featur imag reduc amount imag nois inform acceler converg speed model solv problem gradient disappear network degrad deep neural network dynam rout mechan capsul network optim entropi peak densiti vector use repres spatial posit relationship featur improv abil imag featur extract express optim overal perform network final optim residu network capsul network fuse retain differ correl featur global featur descriptor featur vector combin calcul similar imag featur loop closur detect experiment result show propos method achiev loop closur detect mobil robot complex scene view chang illumin chang dynam object improv accuraci robust mobil robot slam | D012371 | T090 |
36,236,234 | non enzymat phenylboron acid base optod membran glucos monitor serum diabet patient cultur medium human embryo monitor glucos level import diabet also track embryon develop human embryo cultur media studi optochem sensor glucos select polym membran fabric determin glucos serum diabet patient cultur media human embryo optod membran formul use polyvinyl chlorid pvc polym matrix dibromofluorescein octadecyl ester eth chromoionophor sensit optod membran optim use two differ plastic tricresyl phosphat tcp nitrophenyloctyl ether nope three ionophor nitrophenylboron acid npba trifluorophenyboron acid tfpba nitrobenzo crown test glucos detect best optod membran formul pvc tcp npba eth show linear dynam rang detect limit respons time min detect mechan involv h bond npba glucos confirm fourier transform infrar ftir nuclear magnet reson nmr reaction also involv format boron ester basic media deproton chromoionophor eth lead decreas uv vis absorb max nm membran optod use glucos determin synthet cultur medium commerci embryo cultur medium global total whepe serum normal diabet patient show good accuraci precis optod | D003920;D014317 | T047;T109 |
36,236,233 | develop intellig imag system ripe determin wild pistachio rapid non destruct smart assess matur level fruit facilit harvest handl oper throughout suppli chain recent studi introduc machin vision system promis candid non destruct evalu ripe level various agricultur forest product howev report model fruit specif appli fruit regard current studi aim evalu feasibl estim ripe level wild pistachio fruit use imag process artifici intellig techniqu imag wild pistachio four ripe level record use digit camera color textur featur extract sampl use quadrat sequenti featur select method effici featur identifi use estim matur level sampl linear discrimin analysi lda quadrat discrimin analysi qda artifici neural network ann employ classifi sampl four ripe level includ initi unrip secondari unrip ripe overrip develop machin vision system achiev correct classif rate ccr respect high accuraci develop model confirm capabl low cost visibl imag system assess ripe wild pistachio non destruct autom rapid manner | D027927 | T168;T002 |
36,236,232 | develop channel broadband piezoelectr micro ultrason transduc array probe pipelin butt weld defect detect butt weld extens appli long distanc oil gas pipelin great signific conduct non destruct ultrason test girth weld order avoid leakag safeti accid pipelin product oper view limit larg transduc size singl fix beam angl low detect resolut high cost convent ultrason inspect technolog channel piezoelectr micro ultrason transduc pmut array probe develop theoret analysi structur optim design probe imped character experiment result show theoret model effect guid design ultrason transduc array offer maximum oper frequenc deviat less ultrason echo perform test indic averag db bandwidth pmut array probe addit fabric pmut array probe use success detect five common intern defect pipelin girth weld due multipl micro array element flexibl handl element larg bandwidth high resolut defect detect design pmut array probe provid good applic potenti structur health monitor medic ultrasound imag field | D014465;D014896 | T057;T070 |
36,236,230 | water color identif system monitor aquacultur farm studi present vision base water color identif system design monitor aquacultur pond algorithm propos system identifi water color import factor aquacultur farm manag address effect outdoor light condit propos system color correct method use color checkerboard introduc sever candid water imag patch extract perform imag segment fuzzi inferenc final deep learn base model employ identifi color patch find repres color water experi differ aquacultur site verifi effect propos system algorithm color identif accuraci exceed test data | D017756;D014867 | T121;T167;T057;T197 |
36,236,229 | role snowpack hydrometeorolog sensor hydrogeolog system comprehens insid alpin close basin groundwat resourc assess forecast mountain area requir monitor two condit local meteorolog condit spring groundwat paramet reliabl monitor data condit link technic instrument multiparametr probe sensor paper present set attract tool sensor spring groundwat resourc monitor assess mountain basin data combin weather station sensor spring flow rate instrument instal alpin mascognaz basin guarante entir understand one set paramet affect result defin consequenti caus effect relationship sinc larg part alpin groundwat bodi exploit drink purpos understand evolut rechang process requir make right econom instrument invest aim use accord forecast predict sustain develop goal | D060587;D060985 | T082;T081;T070 |
36,236,228 | estim foot trajectori stride length level ground run use foot mount inerti measur unit zero veloc assumpt use estim foot trajectori stride length run data foot mount inerti measur unit imus although assumpt provid reason initi foot trajectori stride length estim sourc error relat imu orient still remain purpos studi develop improv foot trajectori stride length estim method level ground run base displac foot seventi nine runner perform run trial differ pace run motion captur use motion captur system acceler angular veloc left right feet measur two imus mount dorsum foot studi foot trajectori stride length estim use zero veloc assumpt imu data orient imu estim calcul mediolater vertic distanc foot two consecut midstanc event calcul foot trajectori stride length compar motion captur data result show method use studi provid accur estim foot trajectori stride length level ground run across rang run speed | D005528;D012420 | T056;T023 |
36,236,226 | improv fast algorithm base imag edg complex environ complex environ low textur obvious bright chang point featur extract tradit fast algorithm perform well pose estim simultan number point featur extract fast larg increas complex build map solv problem propos l fast algorithm base fast order reduc number extract point increas qualiti l fast pay attent intersect line element imag extract direct relat edg imag henc improv canni edg extract algorithm includ denois gradient calcul adapt threshold improv aim enhanc sharp imag edg effect extract edg strong light dark area imag bright chang experi digit standard imag show improv canni algorithm smoother continu edg extract imag bright chang experi kitti dataset show l fast extract fewer point featur increas robust slam | D000465;D007091 | T170;T066 |
36,236,223 | comparison among differ strategi detect potenti unstabl behavior postur sway assist technolog help assess daili live safeti frail peopl particular regard detect prevent fall paper comparison provid among differ strategi analyz postur sway aim detect unstabl postur status stand condit precursor potenti fall three approach consid time base featur threshold algorithm ii time base featur neuro fuzzi infer system iii neuro fuzzi infer fed discret wavelet transform base featur analysi perform across wide dataset exploit perform index aim assess accuraci reliabl predict provid mention strategi result obtain demonstr valuabl perform three consid strategi correct distinguish among stabl unstabl postur status howev analysi robust noisi data highlight better perform neuro fuzzi infer system respect threshold base algorithm | D000465;D058067 | T170;T062 |
36,236,222 | adapt user track algorithm use irregular data frame passiv fingerprint posit wi fi fingerprint popular indoor posit method today repres receiv signal strength rss valu vector type fingerprint passiv fingerprint unlik activ fingerprint method advantag abl track locat without user particip util signal natur emit user smartphon howev sinc signal generat depend user network usag pattern problem data irregular collect accord pattern therefor paper propos adapt algorithm show stabl track perform fingerprint generat irregular time interv accuraci stabil propos track method verifi experi conduct three scenario propos method expect stabil indoor posit qualiti locat base servic improv | D000465;D059015 | T170;T073 |
36,236,221 | intellig detect hazard good vehicl determin risk grade base deep learn current deep learn wide appli field object detect relev scholar appli vehicl detect paper deep learn efficientdet model analyz advantag model detect hazard good vehicl determin adapt train model built base optim train process train model use detect hazard good vehicl detect result compar cascad r cnn centernet result show propos method superior two method two aspect comput complex detect accuraci simultan propos method suitabl detect hazard good vehicl differ scenario make statist number detect hazard good vehicl differ time place risk grade differ locat determin accord statist result final case studi show propos method use detect hazard good vehicl determin risk level differ place | D000077321;D016571 | T170;T066 |
36,236,219 | novel supervis filter featur select method base gaussian probabl densiti fault diagnosi perman magnet dc motor perman magnet dc motor pmdcms amplitud current signal gradual decreas motor start work time domain featur time frequenc domain featur extract sever success segment current signal make featur vector adopt fault diagnosi pmdcms mani redund featur lead decreas diagnosi effici increas comput cost necessari elimin redund featur featur negat effect paper present novel supervis filter featur select method reduc data dimens employ gaussian probabl densiti function gpdf name gaussian vote featur select gvfs evalu effect propos gvfs compar five filter featur select method util pmdcm data addit gaussian naiv bay gnb k nearest neighbor algorithm k nn support vector machin svm util construct fault diagnosi model experiment result show propos gvfs better diagnost effect five featur select method averag accuraci fault diagnosi improv paper lay foundat fault diagnosi pmdcms provid novel filter featur select method | D059346;D060388 | T074;T066;T073;T081 |
36,236,218 | graph neural network base social network recommend algorithm use high order neighbor inform social network base recommend algorithm leverag rich social network inform allevi problem data sparsiti boost recommend perform howev tradit social network base recommend algorithm ignor high order collabor signal consid first order collabor signal learn user item latent represent result suboptim recommend perform paper propos graph neural network gnn base social recommend model util gnn framework captur high order collabor signal process learn latent represent user item specif formul represent entiti ie user item stack multipl embed propag layer recurs aggreg multi hop neighborhood inform user item interact graph social network graph henc collabor signal hidden user item interact graph social network graph explicit inject final represent entiti moreov eas train process propos gnn base social recommend model allevi overfit adopt lightweight gnn framework retain neighborhood aggreg compon abandon featur transform nonlinear activ compon experiment result two real world dataset show propos gnn base social recommend method outperform state art recommend algorithm | D000465;D016571 | T170 |
36,236,217 | method use improv dynam rang shack hartmann wavefront sensor presenc larg aberr success applic shack hartmann wavefront sensor measur aberr human eye research found aberr larg local wavefront distort larg caus spot correspond sub apertur microlen shift correspond rang sub apertur howev tradit wavefront reconstruct algorithm search spot within correspond rang sub apertur microlen reconstruct wavefront accord calcul centroid lead wavefront reconstruct error solv problem small dynam rang shack hartmann wavefront sensor paper propos wavefront reconstruct algorithm base autocorrel method neural network autocorrel centroid extract method use calcul centroid entir spot map order obtain centroid map reconstruct wavefront match centroid microlen array neural network method break limit sub apertur microlen experiment result show algorithm improv dynam rang first term zernik aberr reconstruct vari degre rang | D000465 | T170 |
36,236,216 | ai base digit twin model cattl care paper develop innov digit twin cattl status power artifici intellig ai work built farm iot system remot monitor track state cattl digit twin model cattl base deep learn dl generat use sensor data acquir farm iot system physiolog cycl cattl monitor real time state next physiolog cycl cattl anticip use model basi work vast amount data requir valid legitimaci digit twin model term behaviour state digit twin model high accuraci loss error train reach loss error predict next behaviour state cattl optim digit twin model develop work use forecast cattl futur time budget | D001185 | T090;T066;T073 |
36,236,215 | use high resolut multispectr uav calcul project ground area corylus avellana l tree orchard last decad research corylus avellana focus improv field techniqu hazelnut qualiti howev climat chang sustain goal call new agronom manag strategi precis manag technolog could help improv resourc use effici increas grower incom research remot sens system especi drone devic still limit therefor hazelnut still link product techniqu far call agricultur unman aerial vehicl platform becom increas avail satisfi demand rapid real time monitor orchard manag spatial spectral tempor resolut address analysi geometr trait canopi volum area veget indic object studi defin rapid procedur calcul geometr paramet canopi canopi area height method use ndvi chm valu deriv uav imag procedur test young corylus avellana tree manag hazelnut orchard earli year cultiv studi area hazelnut orchard ha locat bernalda itali survey conduct six year old irrig hazelnut orchard tonda di giffoni nocchion varieti use multispectr uav determin project ground area corylus avellana canopi trough vigor index ndvi normal differ veget index chm canopi height model use defin canopi calcul tree crown area project canopi area ground measur ndvi valu gt ndvi valu gt compar chm measur show statist signific linear regress r r respect ultra high resolut imageri collect uav system help identifi defin tree crown individu background bare soil grass cover futur develop construct reliabl relationship vigor index ndvi leaf area index lai well evalu spatial tempor evolut | D031211;D014197 | T168;T002 |
36,236,214 | assess individu level exposur airborn particul matter period atmospher thermal invers air pollut exposur harm human health reduc level individu requir measur assess captur spatiotempor variabl differ microenviron influenc specif activ paper activ specif general indoor outdoor exposur period high concentr particul matter pm eg atmospher thermal invers ati ljubljana subalpin basin slovenia assess end person particul matter monitor ppm use worn particip h icarus sampl campaign spring also record hour activ ati period determin base data collect two meteorolog station manag slovenian environment agenc sea result show indoor outdoor exposur pm signific higher ati period differ mean indoor outdoor exposur pm much higher ati period gm gm indoor activ general associ smaller differ cook clean even higher valu post ati period hand outdoor activ higher pm valu ati larger differ most gt gm overal work demonstr individu level approach provid better spatiotempor resolut evalu relat import specif high exposur event way provid ancillari tool exposur assess | D000393;D016902 | T069;T131;T080 |
36,236,213 | fast tempor graph convolut model skeleton base action recognit human action recognit wide rang applic includ ambient intellig system user assist start recogn action perform user better human comput interact achiev improv assist provid social robot real time scenario context perform predict system key aspect purpos paper introduc neural network approach base various type convolut layer achiev good perform recogn action high infer speed experiment result show solut base combin graph convolut network gcn tempor convolut network tcn suitabl approach reach propos goal addit neural network model design pipelin contain two stage obtain relev geometr featur data augment data preprocess also contribut increas perform | D016571;D021641 | T170;T041 |
36,236,211 | vision sensor assist probabilist local method indoor environ among numer indoor local method light detect rang lidar base probabilist algorithm extens appli indoor local due real time perform high accuraci nevertheless method challeng symmetr environ tackl global local robot kidnap problem paper novel hybrid method combin visual probabilist local result propos augment mont carlo local amcl improv posit track continu lidar base measur uncertainti evalu incorpor discret visual base result therefor better divers particl maintain robot kidnap problem detect solv prevent prematur converg particl filter extens experi implement valid robust accuraci perform meanwhil local error reduc mm mm tour | D012371 | T090 |
36,236,209 | wideband rcs reduct singl layer phase gradient modul surfac paper deal design fabric unpretenti singl layer without lump element broadband ghz radar cross section reduct rcsr modul surfac ms propos structur use sinusoid modul gap size squar patch within squar unit cell form phase gradient play effect role improv rcsr bandwidth ms dimens mm consist unit cell period mm print roc lossi substrat lf lf wavelength lower frequenc thick prototyp ms squar patch sp unit cell seven differ gap size genet algorithm ga base fine tune implement increas perform structur measur conduct consid mono bi static arrang obliqu incid tm te polar test good agreement simul measur result prove valid design criteria | D011825 | T073 |
36,236,208 | gwlbc gray wolf optim base load balanc cluster sustain wsns smart citi environ smart citi environ increas demand energi effici inform exchang communic wireless sensor network wsns play import role wsns sensor usual oper cluster allow restructur effect communic larg area long time scenario load balanc cluster cost effect mean improv system perform although cluster discret problem comput intellig techniqu suitabl load balanc minim energi consumpt differ oper constraint literatur reveal swarm intellig inspir comput approach give excel result among popul base meta heurist approach remark explor abil convers work load balanc cluster sustain wsns present use improv gray wolf optim igwo smart citi environ signific paramet energi effici load balanc cluster involv network lifetim dead cluster head dead gateway dead sensor node energi consumpt ensur inform exchang communic among sensor cluster head therefor base paramet propos igwo compar exist gwo sever techniqu moreov converg characterist propos algorithm demonstr extens network smart citi environ consist sensor cluster head deploy area found signific improv | D003195;D059015 | T057;T170;T073 |
36,236,207 | turn movement count data integr method intersect analysi traffic signal design traffic simul wide use model plan analyz differ strategi traffic control road develop cost effici manner order perform intersect simul random vehicl trip data typic appli intersect network make unrealist paper address issu present two differ method incorpor actual turn movement count tmc data compar similar intersect simul analysi tmc three intersect las vega estim separ one hour use develop vision base track system incorpor simul urban mobil sumo estim traffic measur traffic signal design test confid interv simul variabl demonstr import use rout base creation method inject vehicl simul environ base frame level departur time intersect analys comparison perform base estim traffic measur travel time densiti lane densiti occup normal wait time sinc critic edg intersect network identifi base higher normal wait time new traffic signal design suggest base actual critic turn movement improv vehicl travel time achiev better accommod actual traffic demand | D001334 | T056 |
36,236,205 | partition high effici multilay diffract optic neural network partition adapt multilay diffract optic neural network construct address setup issu multilay diffract optic neural network system difficulti flexibl chang number layer input data size diffract devic partit proper multilay diffract optic neural network construct quick flexibl without readjust optic path number optic devic increas linear number network layer avoid prevent energi loss propag beam energi decay exponenti number layer architectur extend construct distinct optic neural network differ diffract devic various spectral band accuraci valu experiment evalu mnist databas mnist fashion databas show classif perform propos optic neural network reach state art level | D000465;D016571 | T170 |
36,236,204 | review locomot mode recognit predict use activ orthos exoskeleton understand seamless adapt assist lower limb wearabl assist devic activ orthosi ao exoskeleton human locomot mode lms challeng sever algorithm sensor explor recogn predict user lms nevertheless yet clear use effect sensor classifi configur aosexoskeleton devic control adapt accord decod lms explor aspect perform systemat review electron search scopus web scienc databas includ publish studi januari august sixteen studi includ score qualiti decod focus level ground walk along ascentdesc stair task perform healthi subject time domain raw data inerti measur unit sensor use data differ classifi employ consid lms decod accuraci task five studi adapt assist aosexoskeleton attend decod lm one studi predict new lm occurr futur research encourag develop decod tool consid data peopl lower limb impair walk self select speed perform daili lms aosexoskeleton | D000067190 | T074 |
36,236,203 | low cost multi purpos iot sensor biolog soundscap activ rapid expans miniatur usabl energi effici afford internet thing iot sensor integr innov smart capabl great increas opportun ground level monitor ecosystem specif scale use sensor grid surround sound power data sourc investig urban non urban ecosystem health research common use robust expens passiv sensor monitor equip captur paper comprehens describ hardwar behind low cost small multipurpos prototyp capabl monitor differ environ eg remot locat onboard process power devic consist print circuit board microprocessor local memori environment sensor microphon optic sensor lora long rang communic system devic success use differ use case monitor mosquito enhanc optic sensor ocean activ use hydrophon | D003199;D017753 | T073;T082;T078;T057;T170;T070 |
36,236,202 | electrochem biosens glucos base enzymat reduct glucos work enzym aldehyd reductas also known aldos reductas synthes clone human gene spectrophotometr measur show presenc nicotinamid adenin dinucleotid phosphat cofactor nadph aldehyd reductas catalyz reduct glucos sorbitol electrochem measur perform electrodeposit poli methylen green modifi gold electrod show presenc enzym aldehyd reductas electrocatalyt oxid current nadph decreas drastic addit glucos result demonstr aldehyd reductas enzym allow construct effici electrochem glucos biosensor base glucos reduct | D000449;D005947 | T116;T121;T109;T126;T123 |
36,236,201 | low cost luxomet benchmark solar illumin measur system base internet thing natur illumin import place home autom applic among advantag contribut better visual health energi save lower co emiss therefor import measur illumin accur cost effect way work compar sever low cost commerci sensor veml tsl opt profession one ml instal outdoor addit platform base internet thing technolog design deploy central point data collect process summer month chosen comparison advers situat low cost sensor sinc design indoor use oper rang lower maximum reach sunlight solar illumin record everi minut expect obtain bias depend solar height reach worst circumst although time valu stay posit side lie good precis record systemat deviat make suscept mathemat correct therefor incorpor sensor data help global improv precis accuraci low cost system left futur line improv | D019985;D000080487 | T170;T081 |
36,236,200 | automat segment periodont tissu ultrasound imag artifici intellig novel method improv dataset qualiti research aim evalu mask r cnn u net convolut neural network model pixel level classif order perform automat segment bi dimension imag us dental arch identifi anatom element requir periodont diagnosi secondari aim evalu effici correct method ground truth mask segment oper improv qualiti dataset use train neural network model ultrasound reconstruct examin periodont tissu | D001185;D016571 | T090;T170;T066;T073 |
36,235,870 | effect multi strategi behavior intervent increas veget sale primari school canteen random control trial children veget intak remain inadequ school canteen may provid opportun address public health concern studi aim determin effect week multi strategi behavior intervent includ veget provis onlin menu architectur veget sale primari school canteen random control trial undertaken australian primari school n student control arm kept regular canteen menu primari outcom veget sale measur assess veget content gram menu item use canteen sale order onlin counter calcul veget sale gramsweek baselin week intervent implement week secondari outcom veget sale subcategori intervent accept among canteen manag veget wast four school linear mix model analysi show baselin follow intervent group signific higher week veget sale overal compar control group gweek ci gweek p lt increas veget sale subcategori burger hot food snack sandwich pastaric dish intervent lead veget wast decreas canteen revenu canteen manag found intervent easi implement felt children respond favor three seven strategi conclus multi strategi behavior canteen intervent increas veget sale amongst primari school student | D005522 | T057;T095 |
36,235,869 | vitamin c supplement treatment covid systemat review meta analysi sinc outbreak coronavirus diseas covid pandem caus sever respiratori syndrom coronavirus sar cov million peopl die medic system face signific difficulti purpos perform meta analysi estim effect vitamin c hospit mortal icu hospit length stay patient diagnos covid conduct systemat review meta analysi follow databas pubm web scienc scopus cochran central regist control trial includ studi evalu effect vitamin c supplement compar standard treatment covid patient age nineteen trial includ meta analysi hospit mortal without vitamin c supplement vs ci p respect sub analysi show random clinic trial hospit mortal vari amount vs ci p respect non random trial hospit mortal vs ci p respect icu length stay longer patient treat vitamin c vs standard therapi vs day md ci p lt respect acut kidney injuri patient treat without vitamin c vari amount vs ci p lt respect differ frequenc advers event among patient treatment without vitamin c p gt use vitamin c reduc hospit mortal length stay icu longer among patient treat vitamin c term patient safeti vitamin c accept profil low dose vitamin c effect safe despit evid use vitamin c modifi cours covid earli modifi guidelin recommend studi particular random clinic trial necessari | D000086382 | T047;T067 |
36,235,868 | intermitt fast short long term qualiti life fatigu safeti healthi volunt prospect clinic trial intermitt fast defin eat pattern without calori restrict altern period fast eat past decad becom popular weight reduc diet thought improv qualiti life qol fatigu howev littl evid exist general popul thus aim assess impact h fast period per day three month studi period qol especi fatigu healthi peopl | D005215;D011788 | T055;T078;T033 |
36,235,867 | associ dietari habit helicobact pylori infect among bahraini adult helicobact pylori h pylori infect main bacteri caus sever gastrointestin disord studi aim estim preval h pylori infect popul bahraini adult seek care gastroenterolog clinic tertiari care hospit kingdom bahrain examin associ dietari habit factor h pylori infect studi hospit base retrospect cross section analyt studi includ particip h pylori infect preval among studi group signific higher among particip high school educ less among dietari habit mean frequenc green tea coffe honey intak signific lower among h pylori infect particip compar non infect counterpart h pylori infect signific higher among particip vitamin defici compar particip normal vitamin p unit decreas serum vitamin associ increas risk infect time ci p lt studi reveal high educ level consumpt honey green tea coffe well normal serum vitamin level independ protector h pylori infect addit studi need estim preval predispos factor h pylori infect general popul | D016481;D016480 | T007;T047 |
36,235,866 | impact low calori ketogen diet vlckd chang handgrip strength women obes preserv muscl mass posit associ muscl strength includ among benefit ketogen diet due synergist effect exert reduct viscer adipos tissu obes relat pro inflammatori status handgrip strength hgs test wide use singl indic repres overal muscl strength possibl associ chang hgs patient obes consumpt low calori ketogen diet vlckd yet investig aim prospect studi assess efficaci vlckd promot chang hgs high sensit c reactiv protein hs crp level serolog marker obes relat low grade inflamm popul women obes day activ phase vlckd pilot uncontrol singl center open label clinic trial examin caucasian women age year bodi mass index bmi kgm consecut enrol follow day activ phase vlckd anthropometr measur physic activ evalu muscl strength measur hgs use grip strength dynamomet bodi composit evalu use bioelectr imped analysi bia phase sensit system hs crp level determin nephelometr assay adher vlckd ketosi status physic activ check week phone call day bmi fat mass fm hs crp level signific decreas respect p lt three paramet hgs increas p lt adjust bmi waist circumfer hs crp level physic activ correl among chang hgs kg fm kg fat free mass ffm kg remain statist signific r r respect p lt interest correl hgs fm r p lt ffm r p lt also independ percentag weight loss first report along signific reduct bodi weight overal improv bodi composit inflammatori status muscl strength evalu hgs test increas popul women obes day activ phase vlckd also follow adjust common confound variabl | D055423 | T061 |
36,235,865 | short term effect addit daili dietari fibr intak appetit satieti gastrointestin comfort accept feasibl background evid high fibr diet signific health benefit although effect increas fibr individu appetit satieti gastrointestin comfort well establish accept feasibl method mix method feasibl randomis control trial includ particip alloc one three condit fibremax two daili serv g barleymax fibregrad two daili serv amount fibr gradual increas control two daili serv total g placebo product particip complet food diari baselin hunger full questionnair question regard gastrointestin respons complet baselin end week particip complet accept intervent measur engag semi structur interview follow trial complet result qualit data suggest increas fibr influenc appetit full percept baselin fibr consumpt method increas fibr increas influenc find qualit result also indic fibr intak perceiv benefici well influenc feel hunger caus minor acut gastrointestin symptom dissip short adapt period conclus studi suggest increas fibr intak barleymax safe intervent accept particip | D001066;D012527 | T041;T040;T039 |
36,235,864 | associ serum vitamin concentr new inflammatori biomark system inflammatori index sii system inflammatori respons siri patient ischem heart diseas incid ischem heart diseas ihd increas everi year cardiovascular diseas inflammatori factor etiolog due differ immun cell influenc atherogenesi new inflammatori biomark system inflammatori index sii system inflammatori respons siri attempt describ pro anti inflammatori balanc quantifi complex impact immun system atherosclerosi vitamin multidirect impact human bodi includ cardiovascular immun system henc object research analyz associ sii siri serum vitamin concentr patient ihd signific correl observ siri oh whole group biomark sii siri oh group patient ac group patient stabl ihd role vitamin ihd complic associ new inflammatori biomark requir well design larg scale research | D050197;D017202 | T047;T046 |
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