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南京医科大学学报（自然科学版） 2007年第5期27卷 448-448页

作者： Yan., J. H. Zhao, J. Q. Yan., Y. F. Zhan., L. Yan., x. Zhu, x. Ji, M. J. sun, n. x. Su, C. n.n.in. Med Uhiv Jiangsu Prov Lab Pathogen Biol Dept Pathogen Biol ＆ Immunol Nanjing 210029 Jiangsu Peoples R China n.n.in. Med Un.v Affiliated Hosp 1 Dept Infect Dis Nanjing Peoples R China Affiliated Yijishan.Hosp Wannan Med Coll Dept Infect Dis Wuhu Peoples R China

Schistosoma japon.cum egg an.igen. stimulate CD4（＋） CD25（＋） T cells an. modulate airway in.lammation.in.a murin. model of asthma

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南京医科大学学报（自然科学版） 2007年第4期27卷 397-397页

作者： Yan., J. H. Zhao, J. Q. Yan., Y. F. Zhan., L. Yan., x. Zhu, x. Ji, M. J. sun, n. x. Su,C. n.n.in. Med Un.v Jiangsu Prov Lab Pathogen Biol Dept Pathogen Biol ＆ lmmunol Nanjing 210029 Jiangsu Peoples R China. Nanjing Med Univ Affiliated Hosp 1 Dept Infect Dis Nanjing Peoples R China. Affiliated Yijishan Hosp Wannan Med Coil Dept Infect Dis Wuhu Peoples R China.

Join. Feature En.odin. an. Task Align.en. Mechan.sm for Emotion.Cause Pair Ex.raction

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Computers, Materials & Con.in.a 2025年第1期82卷 1069-1086页

作者： Shi Li Didi sun College of Computer an. Con.rol En.in.erin. Northeast Forestry UniversityHarbin150040China

With the rapid ex.an.ion.of social media,an.lyzin. emotion. an. their causes in.tex.s has gain.d sign.fican. ***-cause pair ex.raction.en.bles the iden.ification.of causal relation.hips between.emotion. an. their triggers within.a tex.,facilitatin. a deeper un.erstan.in. of ex.ressed sen.imen.s an. their un.erlyin. *** comprehen.ion.is crucial for makin. in.ormed strategic decision. in.various busin.ss an. societal ***,recen. research approaches employin. multi-task learn.n. frameworks for modelin. often.face challen.es such as the in.bility to simultan.ouslymodel ex.racted features an. their in.eraction.,or in.on.isten.ies in.label prediction.between.emotion.cause pair ex.raction.an. in.epen.en. assistan. tasks like emotion.an. cause *** address these issues,this study proposes an.emotion.cause pair ex.raction.methodology that in.orporates join. feature en.odin. an. task align.en. *** model con.ists of two primary compon.n.s:First,join. feature en.odin. simultan.ously gen.rates features for emotion.cause pairs an. clauses,en.an.in. feature in.eraction. between.emotion.clauses,cause clauses,an. emotion.cause ***,the task align.en. techn.que is applied to reduce the labelin. distan.e between.emotion.cause pair ex.raction.an. the two assistan. tasks,capturin. deep seman.ic in.ormation.in.eraction. amon. *** proposed method is evaluated on.a Chin.se ben.hmark corpus usin. 10-fold cross-validation.assessin. key performan.e metrics such as precision.recall,an. F1 *** results demon.trate that the model achieves an.F1 score of 76.05%,surpassin. the state-of-the-art by 1.03%.The proposed model ex.ibits sign.fican. improvemen.s in.emotion.cause pair ex.raction.ECPE)an. cause ex.raction.CE)compared to ex.stin. methods,validatin. its *** research in.roduces a n.vel approach based on.join. feature en.odin. an. task align.en. mechan.sms,con.ributin. to advan.emen.s in.emotion.c

关键词： Emotion.cause pair ex.raction in.eractive in.ormation.en.an.emen. join. feature en.odin. label con.isten.y task align.en. mechan.sms

Microstructure an. Wear/corrosion.Resistan.e of Stain.ess Steel Laser-alloyed with Mn.W_(2)C, Mn.n.WC an. Mn.SiC

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Journ.l of Wuhan.Un.versity of Techn.logy(Materials Scien.e) 2025年第1期40卷 283-294页

作者： ZHOU Rui DIAO x.aogan. sun Yix.n School of Metallurgical En.in.erin. Jiangsu University of Science and TechnologyZhangjiagang 215600China CITIC Heavy Cast Iron.In.ustry Co. Ltd.Luoyang 417039China

In.situ formed high Mn.steel coatin. rein.orced by carbides was formed by laser surface alloyin.(LSA).Laser alloyed layers on.1Cr18n.9Ti steel with Mn.W_(2)C(specimen.A),Mn.n.WC(specimen.B)an. Mn.SiC(specimen.C)powders were fabricated to improve the wear an. corrosion.behavior of 1Cr18n.9Ti steel blades in.high speed *** evolution.phases,elemen. distribution.microhardn.ss,wear an. corrosion.behavior of the laser alloyed layers were *** in.icated that high Mn.steel matrix.composites with un.issolved W_(2)C,WC an. other in.situ formed carbides were formed by LSA with Mn.W_(2)C an. Mn.n.WC while SiC totally dissolved in.o the high Mn.matrix.when.addin. Mn.*** as the bin.in. phase in.n.-WC powder decreased the crack sen.itivity of the alloyed layer as compared with the addition.of W_(2)C *** improvemen. in.average microhardn.ss was achieved in.the matrix.in.specimen.A,B an. C,with the value of 615,602 an. 277 HV_(0.5),while that of the substrate was 212 HV_(0.5).The in.rease of microhardn.ss,wear an. corrosion.resistan.e is highly corelated to microstructure,formed phases,type an. con.en. of carbides,micro-hardn.ss an. toughn.ss of the alloyed layers.

关键词： laser surface alloyin. stain.ess steel carbide type microstructure wear an. corrosion.resistan.e

Traffic safety helmet wear detection.based on.improved YOLOv5 n.twork

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Optoelectron.cs Letters 2025年第1期21卷 35-42页

作者： GUI Don.don. sun Bo College of Software Southeast University Quan.hou Equipmen. Research Cen.re Haixi Institute Chinese Academy of Sciences

Aimin. at the problem that the curren. traffic safety helmet detection.model can.t balan.e the accuracy of detection.with the size of the model an. the poor gen.ralization.of the model, a method based on.improvin. you on.y look on.e version.5(YOLOv5) is proposed. By in.orporatin. the lightweight Ghost n.t module in.o the YOLOv5 backbon. n.twork, we effectively reduce the model size. The addition.of the receptive fields block(RFB) module en.an.es feature ex.raction.an. improves the feature acquisition.capability of the lightweight model. Subsequen.ly, the high-performan.e lightweight con.olution. GSCon., is in.egrated in.o the n.ck structure for further model size compression. Moreover, the baselin. model's loss fun.tion.is substituted with efficien. in.ertion.over un.on.EIoU), acceleratin. n.twork con.ergen.e an. en.an.in. detection.precision. Ex.erimen.al results corroborate the effectiven.ss of this improved algorithm in.real-world traffic scen.rios.

关键词： Traffic con.rol

Brain.en.othelial cyclic GMP-AMP syn.hase(cGAS)-stimulator of in.erferon.gen.s(STIn.)sign.lin. pathway in.agin. an. n.urodegen.ration

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n.ural Regen.ration.Research 2025年第7期20卷 2005-2007页

作者： Bryan.sun Lulin.Li Jian.Luo Palo Alto Veteran. In.titute for Research VA Palo Alto Health Care SystemPalo AltoCAUSA Polytrauma System of Care VA Palo Alto Health Care SystemPalo AltoCAUSA

The cyclic GMP-AMP syn.hase(cGAS)-stimulator of in.erferon.gen.s(STIn.)sign.lin. pathway has emerged as a key mediator of *** curren. studies primarily attribute its effects to n.uron. an. glial cells,emergin. research suggests that cGAS-STIn. sign.lin. may play a critical role in.cerebral vasculature,particularly in.brain.en.othelial ***,studyin. the role 7of in.lammation.caused by the cGAS-STIn. pathway in.brain.en.othelial cells could provide a more comprehen.ive un.erstan.in. of n.uroin.lammatory disease an. n.w aven.es for therapeutic ***,we review the multifaceted role of global cGAS-STIn. sign.lin. in.various n.urological an. n.uroin.lammatory diseases an. the poten.ial con.ribution.of cGAS-STIn. in.brain.en.othelial cells.

关键词： stimulator in.erferon in.lammation

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Malicious Documen. Detection.Based on.GGE Visualization

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Computers, Materials & Con.in.a 2025年第1期82卷 1233-1254页

作者： Youhe Wan. Yi sun Yujie Li Chuan.i Zhou Hen.n.Provin.e Key Laboratory of In.ormation.Security Information Engineering UniversityZhengzhou450000China

With the developmen. of an.i-virus techn.logy,malicious documen.s have gradually become the main.pathway of Advan.ed Persisten. Threat(APT)attacks,therefore,the developmen. of effective malicious documen. classifiers has become particularly ***,detection.methods based on.documen. structure an. behavioral features en.oun.er challen.es in.feature en.in.erin.,these methods n.t on.y have limited accuracy,but also con.ume large resources,an. usually can.on.y detect documen.s in.specific formats,which lacks versatility an. *** address such problems,this paper proposes a n.vel malicious documen. detection.method-visualizin. documen.s as GGE images(Grayscale,Grayscale matrix.En.ropy).The GGE method visualizes the origin.l byte sequen.e of the malicious documen. as a grayscale image,the in.ormation.en.ropy sequen.e of the documen. as an.en.ropy image,an. at the same time,the grayscale level co-occurren.e matrix.an. the tex.ure an. spatial in.ormation.stored in.it are con.erted in.o grayscale matrix.image,an. fuses the three types of images to get the GGE color *** Con.olution.l Block Atten.ion.Module-Efficien.n.t-B0(CBAM-Efficien.n.t-B0)model is then.used for classification.combin.n. tran.fer learn.n. an. applyin. the pre-train.d model on.the Imagen.t dataset to the feature ex.raction.process of GGE *** shown.in.the ex.erimen.al results,the GGE method has superior performan.e compared with other methods,which is suitable for detectin. malicious documen.s in.differen. formats,an. achieves an.accuracy of 99.44%an. 97.39%on.Portable Documen. Format(PDF)an. office datasets,respectively,an. con.umes less time durin. the detection.process,which can.be effectively applied to the task of detectin. malicious documen.s in.real-time.

关键词： Malicious documen. visualization Efficien.n.t-B0 con.olution.l block atten.ion.module GGE image

Revisitin. Plateau-Rayleigh in.tability in.in.rgan.c syn.hetic chemistry

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Scien.e Chin. Materials 2025年

作者： Yugan. sun Departmen. of Chemistry Temple University

Wettin.-dewettin. behavior is a un.versal phen.men.n.for fluids on.solid surfaces,for in.tan.e,the liquid on.spider silk an. lotus leaves[1].Con.rollin. the wettin.-dewettin. behavior of fluids in.a predictable an. gen.ralizable man.er is of broad in.erest in.various application.,such as an.i-corrosion.an.ifoggin.,medicin.,oil-water separation.self-clean.n.,an. water harvestin.[2].Specifically,in.the on.-dimen.ion.l （1D） system,it is usually kn.wn.as the Plateau-Rayleigh （P-R） in.tability,which describes the volume-con.tan. break-up of a con.in.ous water cylin.er in.o isolated droplets （Fig.1a）[3,4].

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RF Optimizer Model for Predictin. Compressive Stren.th of Recycled Con.rete

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Journ.l of Wuhan.Un.versity of Techn.logy(Materials Scien.e) 2025年第1期40卷 215-223页

作者： LIU Lin.WAn. Liuyan.WAn. Hui sun Huayue School of Civil En.in.erin. an. Architecture Shenyang UniversityShenyang 110000China

Tradition.l machin. learn.n.(ML)en.oun.ers the challen.e of parameter adjustmen. when.predictin. the compressive stren.th of reclaimed *** address this issue,we in.roduce two optimized hybrid models:the Bayesian.optimization.model(B-RF)an. the optimal model(Stackin. model).These models are applied to a data set comprisin. 438 observation. with five in.ut variables,with the aim of predictin. the compressive stren.th of reclaimed ***,we evaluate the performan.e of the optimized models in.comparison.to tradition.l machin. learn.n. models,such as support vector regression.SVR),decision.tree(DT),an. ran.om forest(RF).The results reveal that the Stackin. model ex.ibits superior predictive performan.e,with evaluation.in.ices in.ludin. R2=0.825,MAE=2.818 an. MSE=14.265,surpassin. the tradition.l ***,we also performed a characteristic importan.e an.lysis on.the in.ut variables,an. we con.luded that cemen. had the greatest in.luen.e on.the compressive stren.th of reclaimed con.rete,followed by ***,the Stackin. model can.be recommen.ed as a compressive stren.th prediction.tool to partially replace laboratory compressive stren.th testin.,resultin. in.time an. cost savin.s.

关键词： machin. learn.n. recycled con.rete compressive stren.th

Zin. Ox.de n.n.structured Biosen.or for Glucose Detection

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Journ.l of Materials Scien.e & Techn.logy 2008年第4期24卷 649-656页

作者： x. W.sun J.x. Wan. A. Wei School of Electrical an. Electron.c En.in.erin. Nanyang Technological University Nanyang Avenue Singapore 639798 Singapore

Zin. ox.de （Zn.） n.n.combs were fabricated by vapor phase tran.port, an. n.n.rods an. hierarchical n.n.disk structures by aqueous thermal decomposition. Glucose biosen.ors were con.tructed usin. these Zn. n.n.structures as supportin. materials for glucose ox.dase （GOx. loadin.. These Zn. glucose biosen.ors showed a high sen.itivity for glucose detection.an. high affin.ty of GOx.to glucose as well as the low detection.limit. The results demon.trate that Zn. n.n.structures have poten.ial application. in.biosen.ors.

关键词： Zn. n.n.structures Crystal structure Glucose Biosen.or

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