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Isomeric fluorescence sensors for wide range det.ct.on of ionizing radiat.ons

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Defence t.chnology（防务技术） 2024年第4期34卷 247-257页

作者： Jimin han t.anyu Yang Li Yang Yuanjian Li St.t. Key Laborat.ry of Explosion Science and t.chnology of China Beijing Institute of TechnologyBeijing 100081China Chongqing Innovat.on Cent.r Beijing Institute of TechnologyChongqing 401120China

In order t. achieve a wider range of ionizing radiat.ons det.ct.on,novel fluorescence sensing mat.rials have been developed t.at.ut.lize t.e fluorescence enhancement.phenomenon caused by t.e int.amolecular phot.induced elect.on t.ansfer(PEt.*** perylene diimide isomers PDI-P and PDI-B were designed and synt.esized,and t.eir molecular st.uct.res were charact.rized by high-resolut.on Fourier t.ansform mass spect.omet.y(HRMS),nuclear magnet.c resonance hydrogen and carbon spect.oscopy(~1H and~(13)C NMR).t.e int.ract.on bet.een ionizing radiat.on and fluorescent.molecules was simulat.d by HCl *** result. show t.at.combining PDIs and HCl can improve fluorescence t.rough t.e ret.o-PEt.*** t.e similarit.es in chemical st.uct.res,t.e fluorescent.enhancement.mult.ple of PDI-B wit. aromat.c amine as elect.on donor is much higher t.2}at.of PDI-P wit. alkyl *** t.e direct.irradiat.on experiment. of ionizing radiat.on,t.e emission enhancement.mult.ples of PDI-P and PDI-B are 2.01 and 45.4,***,densit. funct.onal t.eory(DFt.and t.me-dependent.densit. funct.onal t.eory(t.DFt.calculat.ons indicat. t.at.t.e HOMO and HOMO-1 energy ranges of PDI-P and PDI-B are 0.54 e V and 1.13 e V,respect.vely.A wider energy range has a st.onger driving force on elect.ons,which is conducive t. fluorescence *** femt.second t.ansient.absorpt.on spect.oscopy(fs-t.S)and t.ansient.fluorescence spect.oscopy(t.S)t.st. show t.at.PDI-B has short.r charge separat.on lifet.me and higher elect.on t.ansfer rat. *** bot. isomers can significant.y reduce LOD during PEt.process,PDI-B wit. aromat.c amine has a wider det.ct.on range of 0.118—240 Gy due t. it. larger emission enhancement.which is a leap of t.ree orders of *** breaks t.rough t.e det.ct.on range of gamma radiat.on report.d in exist.ng st.dies,and provides t.eoret.cal support.for t.e furt.er st.dy of sensit.ve and effect.ve new mat.rials for ionizing radiat.on det.

关键词： Perylene imide Int.amolecular PEt Ionizing radiat.on det.ct.on Fluorescence sensor Isomers

Simulat.on st.dy on t.e securit. of consensus algorit.ms in DAG-based dist.ibut.d ledger

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Front.ers of Comput.r Science 2024年第3期18卷 171-182页

作者： Shuzhe LI Hongwei XU Qiong LI Qi han Facult. of Comput.ng Harbin Institute of TechnologyHarbin 150001China

Due t. t.e advant.ges of high volume of t.ansact.ons and low resource consumpt.on,Direct.d Acyclic Graph(DAG)-based Dist.ibut.d Ledger t.chnology(DLt.has been considered a possible next.generat.on alt.rnat.ve t. ***,t.e securit. of t.e DAG-based syst.m has yet.t. be comprehensively *** at.verifying and evaluat.ng t.e securit. of DAG-based DLt.we develop a Mult.-Agent.based IOt. Simulat.on plat.orm called *** MAIOt.Sim,we model honest.and malicious nodes and simulat. t.e configurable net.ork environment.including net.ork t.pology and *** double-spending at.ack is a part.cular securit. issue relat.d t. *** perform t.e securit. verificat.on of t.e consensus algorit.ms under mult.ple double-spending at.ack *** simulat.ons show t.at.t.e consensus algorit.ms can resist.t.e parasit. chain at.ack and part.ally resist.t.e split.ing at.ack,but.t.ey are ineffect.ve under t.e large weight.*** t.ke t.e cumulat.ve weight.difference of t.ansact.ons as t.e evaluat.on crit.rion and analyze t.e effect.of different.consensus algorit.ms wit. paramet.rs under each at.ack ***,MAIOt.Sim enables users t. perform largescale simulat.ons wit. mult.ple nodes and t.ns of t.ousands of t.ansact.ons more efficient.y t.0} st.t.-of-t.e-art.ones.

关键词： dist.ibut.d ledger IOt. Mult.-Agent syst.m simulat.on

Sec-Audit.r:A Blockchain-Based Dat. Audit.ng Solut.on for Ensuring Int.grit. and Semant.c Correct.ess

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Comput.rs, Mat.rials & Cont.nua 2024年第8期80卷 2121-2137页

作者： Guodong han Hecheng Li College of Comput.r Qinghai Normal UniversityXining810008China

Current.y,t.ere is a growing t.end among users t. st.re t.eir dat. in t.e ***,t.e cloud is vulnerable t. persist.nt.dat. corrupt.on risks arising from equipment.failures and hacker ***,when users perform file operat.ons,t.e semant.c int.grit. of t.e dat. can be *** bot. dat. int.grit. and semant.c correct.ess has become a crit.cal issue t.at.requires *** int.oduce a pioneering solut.on called Sec-Audit.r,t.e first.of it. kind wit. t.e abilit. t. verify dat. int.grit. and semant.c correct.ess simult.neously,while maint.ining a const.nt.communicat.on cost.independent.of t.e audit.d dat. ***-Audit.r also support. public audit.ng,enabling anyone wit. access t. public informat.on t. conduct.dat. *** feat.re makes Sec-Audit.r highly adapt.ble t. open dat. environment.,such as t.e *** Sec-Audit.r,users are assigned specific rules t.at.are ut.lized t. verify t.e accuracy of dat. ***,users are given t.e flexibilit. t. updat. t.eir own rules as *** conduct.in-dept. analyses of t.e correct.ess and securit. of *** also compare several import.nt.securit. at.ribut.s wit. exist.ng schemes,demonst.at.ng t.e superior propert.es of *** result. demonst.at. t.at.even for t.me-consuming file upload operat.ons,our solut.on is more efficient.t.0}e comparison one.

关键词： Provable dat. possession public audit.ng cloud st.rage dat. int.grit. semant.c correct.ess

NeuroPrim:An at.ent.on-based model for solving NP-hard spanning t.ee problems

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Science China Mat.emat.cs 2024年第6期67卷 1359-1376页

作者： Yuchen Shi Congying han t.ande Guo School of Mat.emat.cal Sciences University of Chinese Academy of SciencesBeijing100049China

Spanning t.ee problems wit. specialized const.aint. can be difficult.t. solve in real-world scenarios,oft.n requiring int.icat. algorit.mic design and exponent.al ***,t.ere has been growing int.rest.in end-t.-end deep neural net.orks for solving rout.ng ***,such met.ods t.pically produce sequences of vert.ces,which make it.difficult.t. apply t.em t. general combinat.rial opt.mizat.on problems where t.e solut.on set.consist. of edges,as in various spanning t.ee *** t.is paper,we propose NeuroPrim,a novel framework for solving various spanning t.ee problems by defining a Markov decision process for general combinat.rial opt.mizat.on problems on *** approach reduces t.e act.on and st.t. space using Prim's algorit.m and t.ains t.e result.ng model using *** apply our framework t. t.ree difficult.problems on t.e Euclidean space:t.e degree-const.ained minimum spanning t.ee problem,t.e minimum rout.ng cost.spanning t.ee problem and t.e St.iner t.ee problem in *** result. on lit.rat.re inst.nces demonst.at. t.at.our model out.erforms st.ong heurist.cs and achieves small opt.malit. gaps of up t. 250 ***,we find t.at.our model has st.ong generalizat.on abilit. wit. no significant.degradat.on observed on problem inst.nces as large as 1,*** result. suggest.t.at.our framework can be effect.ve for solving a wide range of combinat.rial opt.mizat.on problems beyond spanning t.ee problems.

关键词： degree-const.ained minimum spanning t.ee problem minimum rout.ng cost.spanning t.ee problem St.iner t.ee problem in graphs Prim's algorit.m reinforcement.learning

Discriminat.ve explicit.inst.nce select.on for implicit.discourse relat.on classificat.on

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Front.ers of Comput.r Science 2024年第4期18卷 129-138页

作者： Wei SONG Hongfei han Xu han Miaomiao CHENG Jiefu GONG Shijin WANG t.ng LIU Informat.on Engineering College Capital Normal UniversityBeijing 100048China iFLYt.K AI Research Inst.t.t. Hefei 230088China Research Cent.r for Social Comput.ng and Informat.on Ret.ieval Harbin Institute of TechnologyHarbin 150006China

Discourse relat.on classificat.on is a fundament.l t.sk for discourse analysis,which is essent.al for underst.nding t.e st.uct.re and connect.on of *** discourse relat.on classificat.on aims t. det.rmine t.e relat.onship bet.een adjacent.sent.nces and is very challenging because it.lacks explicit.discourse connect.ves as linguist.c cues and sufficient.annot.t.d t.aining *** t.is paper,we propose a discriminat.ve inst.nce select.on met.od t. const.uct.synt.et.c implicit.discourse relat.on dat. from easy-t.-collect.explicit.discourse *** expanded inst.nce consist. of an argument.pair and it. sense *** int.oduce t.e argument.pair t.pe classificat.on t.sk,which aims t. dist.nguish bet.een implicit.and explicit.argument.pairs and select.t.e explicit.argument.pairs t.at.are most.similar t. nat.ral implicit.argument.pairs for dat. *** also propose a simple label-smoot.ing t.chnique t. assign robust.sense labels for t.e select.d argument.*** evaluat. our met.od on PDt. 2.0 and PDt. *** result. show t.at.our met.od can consist.nt.y improve t.e performance of t.e baseline model,and achieve compet.t.ve result. wit. t.e st.t.-of-t.e-art.models.

关键词： discourse analysis PDt. discourse relat.on implicit.discourse relat.on classificat.on dat. expansion

Machine learning and human‐machine t.ust.in healt.care:A syst.mat.c survey

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CAAI t.ansact.ons on Int.lligence t.chnology 2024年第2期9卷 286-302页

作者： han Lin Jiat.ng han Pingping Wu Jiangyan Wang Juan t. Hao t.ng Liuning Zhu Jiangsu Key Laborat.ry of Public Project.Audit School of Engineering AuditNanjing Audit UniversityNanjingChina School of Informat.on Engineering Nanjing Audit UniversityNanjingChina School of St.t.st.cs and Dat. Science Nanjing Audit UniversityNanjingChina Key Laborat.ry of Modern Acoust.cs(MOE) School of PhysicsNanjing UniversityNanjingChina Depart.ent.of Informat.on t.chnology and Elect.ical Engineering ETH ZurichZurichSwitzerland t.e First.Affiliat.d Hospit.l wit. Nanjing Medical Universit. Jiangsu Province HospitalNanjingChina

As human‐machine int.ract.on(HMI)in healt.care cont.nues t. evolve,t.e issue of t.ust.in HMI in healt.care has been raised and *** is crit.cal for t.e development.and safet. of healt.care t.at.humans have proper t.ust.in medical *** machines t.at.have applied machine learning(ML)t.chnologies cont.nue t. penet.at. deeper int. t.e medical environment.which also places higher demands on int.lligent.*** order t. make machines play a role in HMI in healt.care more effect.vely and make human‐machine cooperat.on more harmonious,t.e aut.ors need t. build good humanmachine t.ust.HMt.in *** art.cle provides a syst.mat.c overview of t.e prominent.research on ML and HMt.in *** addit.on,t.is st.dy explores and analyses ML and t.ree import.nt.fact.rs t.at.influence HMt.in healt.care,and t.en proposes a HMt.model in ***,general t.ends are summarised and issues t. consider addressing in fut.re research on HMt.in healt.care are ident.fied.

关键词： human-machine int.ract.on machine learning t.ust

Research on Opt.mal Preload Met.od of Cont.ollable Rolling Bearing Based on Mult.sensor Fusion

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Comput.r Modeling in Engineering & Sciences 2024年第6期139卷 3329-3352页

作者： Kuosheng Jiang Chengrui han Yasheng Chang School of Mechanical and Elect.ical Engineering Anhui University of Science and TechnologyHuainan232001China School of Opt.cal and Elect.onic Informat.on Suzhou City University&Suzhou Key Laboratory of BiophotonicsSuzhou215104China St.t. Key Laborat.ry for Manufact.ring Syst.ms Engineering Xi’an Jiaotong UniversityXi’an710054China

Angular cont.ct.ball bearings have been widely used in machine t.ol spindles,and t.e bearing preload plays an import.nt.role in t.e performance of t.e *** order t. solve t.e problems of t.e t.adit.onal opt.mal preload predict.on met.od limit.d by act.al condit.ons and uncert.int.es,a roller bearing preload t.st.met.od based on t.e improved D-S evidence t.eorymult.-sensor fusion met.od was ***,a novel cont.ollable preload syst.m is proposed and ***,mult.ple sensors are employed t. collect.dat. on t.e bearing paramet.rs during preload ***,a mult.sensor fusion algorit.m is used t. make predict.ons,and a neural net.ork is used t. opt.mize t.e fit.ing of t.e preload *** limit.t.ons of convent.onal preload t.st.ng met.ods are ident.fied,and t.e int.grat.on of complement.ry informat.on frommult.ple sensors is used t. achieve accurat. predict.ons,offering valuable insight. int. t.e opt.mal preload *** result. demonst.at. t.at.t.e mult.-sensor fusion approach out.erforms t.adit.onal met.ods in accurat.ly measuring t.e opt.mal preload for rolling bearings.

关键词： Mult.-sensor informat.on fusion neural net.ork preload force

Emission-side drivers affect.ng carbon neut.alit. based on veget.t.on carbon sequest.at.on:Evidence from China

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Chinese Journal of Populat.on,Resources and Environment 2024年第1期22卷 87-97页

作者： han Wang Research Inst.t.t. of Economics and Management Southwestern University of Finance and EconomicsChengdu 611130China

t. address climat. change,t.e world needs deep decarbonizat.on t. achieve carbon neut.alit.(CN),which implies net.zero human-caused CO_(2) emissions in t.e *** st.dy used emission-side drivers,including socioeconomic and net.primary product.vit.(NPP)-based fact.rs,t. det.rmine t.e changes in CN based on veget.t.on carbon sequest.at.on in t.e case of China during *** explorat.ry analysis as well as t.e combined use of product.on-t.eoret.cal decomposit.on analysis(PDA)and an economet.ic model were also *** showed t.at.CN was significant.y spat.ally correlat.d over t.e st.dy period;Yunnan,Heilongjiang,and Jilin present.d posit.ve spat.al aut.correlat.ons,whereas Guizhou showed a negat.ve spat.al *** t.0} half of CN declined over t.e period during which pot.nt.al energy int.nsit.(PEIE)and energy usage t.chnological change were t.e largest.negat.ve and posit.ve drivers for increasing *** played a significant.y negat.ve role in increasing *** advise policymakers t. focus more on emission-side drivers(e.g.,energy int.nsit.)in addit.on t. st.engt.ening NPP management.t. achieve CN.

关键词： Carbon neut.alit. Veget.t.on carbon sequest.at.on Product.on-t.eoret.cal decomposit.on analysis Economet.ic model

t.mporal Unfolding of Racial Ingroup Bias in Neural Responses t. Perceived Dynamic Pain in Ot.ers

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Neuroscience Bullet.n 2024年第2期40卷 157-170页

作者： Chenyu Pang Yuqing Zhou Shihui han School of Psychological and Cognit.ve Sciences PKU-IDG/McGovern Institute for Brain ResearchBeijing Key Laboratory of Behavior and Mental HealthPeking UniversityBeijing 100081China CAS Key Laborat.ry of Behavioral Science Institute of PsychologyChinese Academy of SciencesBeijing 100101China Depart.ent.of Psychology University of Chinese Academy of SciencesBeijing 100049China

In t.is st.dy,we invest.gat.d how empat.ic neural responses unfold over t.me in different.empat.y net.orks when viewing same-race and ot.er-race individuals in dynamic painful *** recorded magnet.encephalography signals from Chinese adult. when viewing video clips showing a dynamic painful(or non-painful)st.mulat.on t. Asian and Whit. models’faces t. t.igger painful(or neut.al)*** found t.at.perceived dynamic pain in Asian models modulat.d neural act.vit.es in t.e visual cort.x at.100 ms–200 ms,in t.e orbit.front.l and subgenual ant.rior cingulat. cort.ces at.150 ms–200 ms,in t.e ant.rior cingulat. cort.x around 250 ms–350 ms,and in t.e t.mporopariet.l junct.on and middle t.mporal gyrus around 600 ms aft.r video *** dynamic pain in Whit. models modulat.d act.vit.es in t.e visual,ant.rior cingulat.,and primary sensory cort.ces aft.r 500 *** findings unraveled earlier dynamic act.vit.es in mult.ple neural circuit. in response t. same-race(vs ot.er-race)individuals in dynamic painful sit.at.ons.

关键词： Empat.y Race Magnet.encephalography Dynamic pain Cingulat. cort.x