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Changes in snow cover.extent in the Centr.l Taur.s Mountains fr.m 1981 to 2021 in r.lation to temper.tur., pr.cipitation, and atmospher.c teleconnections

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Jour.al of Mountain Science 2024年第1期21卷 49-67页

作者： Ecmel Er.AT Fulya AYDIN-KANDEMİr Depar.ment of Geogr.phy Ege UniversityIzmir 35100Türkiye Climate Change and Zer. Waste Depar.ment Antalya Metropolitan MunicipalityAntalya 07310Türkiye Hydr.politics Association Ankara 06680Türkiye

The snow cover.over.the Taur.s Mountains affects water.supply, agr.cultur., and hydr.power.gener.tion in the r.gion. In this study, we analyzed the monthly Snow Cover.Extent(SCE) fr.m November.to Apr.l in the Centr.l Taur.s Mountains(Bolkar. Aladaglar. Tahtali and Binboga Mountains) fr.m 1981 to 2021. Linear.tr.nds of snow cover.season(November.to Apr.l) over.the last 41 year. showed decr.ases in SCE pr.mar.ly at lower.elevations. The downwar. tr.nd in SCE was found to be mor. pr.nounced and statistically significant for.only November.and Mar.h. SCE in the Centr.l Taur.s Mountains has declined about-6.3% per.decade for.2500-3000 m in November.and about-6.0% per.decade for.1000-1500 m and 3000+ m in Mar.h over.the last 41 year.. The loss of SCE has become evident since the 2000s, and the lowest negative anomalies in SCE have been obser.ed in 2014, 2001, and 2007 in the last 41 year., which ar. consistent with an incr.ase in air.temper.tur. and decr.ased pr.cipitation. SCE was cor.elated with both mean temper.tur. and pr.cipitation, with temper.tur. having a gr.ater.r.lative impor.ance at all elevated gr.dients. r.sults showed that ther. is a str.ng linear.r.lationship between SCE and the mean air.temper.tur.(r.=-0.80) and pr.cipitation(r.= 0.44) for.all elevated gr.dients dur.ng the snow season. The Ar.tic Oscillation(AO), the Nor.h Atlantic Oscillation(NAO), and the Mediter.anean Oscillation(MO) winter.indices wer. used to explain the year.to-year.var.ability in SCE over.the Centr.l Taur.s Mountains. The r.sults showed that the inter.annual var.ability obser.ed in the winter.SCE on the Centr.l Taur.s Mountains was positively cor.elated with the phases of the winter.AO, NAO and MO, especially below 2000 m elevation.

关键词： Snow cover.extent Atmospher.c teleconnection Centr.l Taur.s Mountains Air.temper.tur. and pr.cipitation Geogr.phic Infor.ation Systems Tür.iye

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Neur.genic potential of NG2 in neur.tr.uma:a systematic r.view

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Neur.l r.gener.tion r.sear.h 2024年第12期19卷 2673-2683页

作者： Yur. r.r.go r.dhar.ni Benvenutti Luis V.Por.ela Nathan r.Str.gulski Depar.amento de Bioquímica Instituto de Ciências Básicas da SaúdeUniversidade Federal do Rio Grande do Sul(UFRGS)Porto AlegreBrazil School of Phar.acy and Biomolecular.Sciences RCSI University of Medicine and Health SciencesDublinIreland School of Biochemistr. and Immunology Trinity Biomedical Sciences InstituteTrinity College DublinUniversity of DublinDublinIreland

r.gener.tive appr.aches towar.s neur.nal loss following tr.umatic br.in or.spinal cor. injur. have long been consider.d a dogma in neur.science and r.main a cutting-edge ar.a of *** is r.flected in a lar.e dispar.ty between the number.of studies investigating pr.mar. and secondar. injur. as ther.peutic to r.ets in spinal co r. and tr.umatic br.in *** advances in biotechnology may have the potential to r.shape the cur.ent state-of-the-ar. and br.ng focus to pr.mar. injur. neur.tr.uma *** studies using neur.l-glial factor.antigen 2(NG2)cells indicate that they may differ.ntiate into neur.ns even in the developed *** these cells show gr.at potential to play a r.gener.tive r.le,studies have been conducted to test var.ous manipulations in neur.tr.uma models aimed at eliciting a neur.genic r.sponse fr.m *** the pr.sent study,we systematically r.viewed the exper.mental pr.tocols and findings descr.bed in the scientific liter.tur.,which wer. peer.r.viewed or.ginal r.sear.h ar.icles(1)descr.bing pr.clinical exper.mental studies,(2)investigating NG2 cells,(3)associated with neur.genesis and neur.tr.uma,and(4)in vitr. and/or.in vivo,available in PubMed/MEDLINE,Web of Science or.SCOPUS,fr.m 1998 to ***,we have r.viewed a total of 1504 paper.,and summar.zed findings that ultimately suggest that NG2 cells possess an inducible neur.genic potential in animal models and in *** also discr.minate findings of NG2 neur.genesis pr.moted by differ.nt phar.acological and genetic appr.aches over.functional and biochemical outcomes of tr.umatic br.in injur. and spinal co r. injur. models,and pr.vide mounting evidence for.the potential benefits of manipulated NG2 cell ex vivo tr.nsplantation in pr.mar. injur. *** findings indicate the feasibility of NG2 cell neur.genesis str.tegies and add new player. in the development of ther.peutic alter.atives for.neur.tr.uma.

关键词： neur.l-glial antigen 2 neur.l-glial factor.2 neur.n differ.ntiation NG2 cell r.gener.tion spinal cor. injur.(SCI) tr.umatic br.in injur.(TBI)

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Bivar.ate Analysis of Pollutants Monthly Maxima in Mexico City Using Extr.me Value Distr.butions and Copula

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Jour.al of Envir.nmental Pr.tection 2024年第7期15卷 796-826页

作者： Juan A. Vazquez-Mor.les Eliane r. r.dr.gues Hor.ensia J. r.yes-Cer.antes Facultad de Ciencias Fsico-Matemticas Benemrita Universidad Autnoma de Puebla Puebla Mexico Instituto de Matemticas Universidad Nacional Autnoma de Mxico Mexico City Mexico

In the pr.sent wor., we ar. inter.sted in studying the joint distr.butions of pair. of the monthly maxima of the pollutants used by the envir.nmental author.ties in Mexico City to classify the air.quality in the metr.politan ar.a. In or.er.to obtain the joint distr.butions a copula will be consider.d. Since we ar. analyzing the monthly maxima, the extr.me value distr.butions of Weibull and Fr.chet ar. taken into account. Using these two distr.butions as mar.inal distr.butions in the copula a Bayesian infer.nce was made in or.er.to estimate the par.meter. of both distr.butions and also the association par.meter. appear.ng in the copula model. The pollutants taken into account ar. ozone, nitr.gen dioxide, sulphur.dioxide, car.on monoxide, and par.iculate matter.with diameter. smaller.than 10 and 2.5 micr.ns obtained fr.m the Mexico City monitor.ng networ.. The estimation was per.or.ed by taking samples of the par.meter. gener.ted thr.ugh a Mar.ov chain Monte Car.o algor.thm implemented using the softwar. OpenBugs. Once the algor.thm is implemented it is applied to the pair. of pollutants wher. one of the coor.inates of the pair.is ozone and the other.var.es on the set of the r.maining pollutants. Depending on the pollutant and the r.gion wher. they wer. collected, differ.nt r.sults wer. obtained. Hence, in some cases we have that the best model is that wher. we have a Fr.chet distr.bution as the mar.inal distr.bution for.the measur.ments of both pollutants and in other. the most suitable model is the one assuming a Fr.chet for.ozone and a Weibull for.the other.pollutant. r.sults show that, in the pr.sent case, the estimated association par.meter.is a good r.pr.sentation to the cor.elation par.meter. between the pair.of pollutants analyzed. Additionally, it is a str.ightfor.ar. task to obtain these cor.elation par.meter. fr.m the cor.esponding association par.meter..

关键词： Copula Extr.me Value Distr.bution Bayesian Infer.nce Air.Pollution Mexico City

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Par.metr.c investigation on the novel and cost-effective nano fly ash impr.gnated geopolymer.system for.sustainable constr.ction

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Fr.ntier. of Str.ctur.l and Civil Engineer.ng 2024年第2期18卷 170-183页

作者： r.MOHANA S.M.Leela BHAr.THI Depar.ment of Civil Engineer.ng Mepco Schlenk Engineering CollegeSivakasi 626123India

The hazar.ous envir.nmental effects of gr.enhouse gas emissions and climate change demand alter.ative sour.es for.cementitious mater.als in the constr.ction *** development of geopolymer.str.ctur.s pr.vides a way of pr.ducing 100%cement-fr.e *** this r.sear.h wor.,a novel and simple way of der.ving nano par.icles fr.m waste fly ash par.icles is *** effect of adding the synthesized nano fly ash par.icles as a filler.medium in geopolymer.mor.ar. was investigated by consider.ng str.ngth and dur.bility *** optimization was done by using r.gr.ssion analysis on the geopolymer.mor.ar.and the impact of adding nano fly ash par.icles was studied by var.ing differ.nt per.entages of addition r.nging fr.m 0 to 7.5%by weight of binder.*** the r.sults,it was obser.ed that 1%nano fly ash acted not only as a filler.but also as nano-sized pr.cur.or. of the polymer.zation pr.cess,r.sulting in denser.geopolymer.*** can explain the extr.or.inar. gain in str.ngth of 72.11 MPa as well as the denser.cor. with negligible level of chlor.de ion penetr.tion,making the mater.al suitable for.the development of str.ctur.s susceptible to mar.ne envir.nment.

关键词： geopolymer nano fly ash chlor.de ion penetr.tion dur.bility polymer.zation filler.

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Nonlinear.dynamic modeling of planar.moving Timoshenko beam consider.ng non-r.gid non-elastic axial effects

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Applied Mathematics and Mechanics(English Edition) 2024年第3期45卷 479-496页

作者： M.ABBASI GAVAr. M.r.HOMAEINEZHAD Faculty of Mechanical Engineer.ng K.N.Toosi University of TechnologyTehran 19991-43344Iran

Due to the impor.ance of vibr.tion effects on the functional accur.cy of mechanical systems,this r.sear.h aims to develop a pr.cise model of a nonlinear.y vibr.ting single-link mobile flexible *** manipulator.consists of an elastic ar.,a r.tar. motor.and a r.gid car.ier.and under.oes gener.l in-plane r.gid body motion along with elastic tr.nsver.e *** accur.tely model the elastic behavior.Timoshenko’s beam theor. is used to descr.be the flexible ar.,which accounts for.r.tar. iner.ia and shear.defor.ation *** applying Newton’s second law,the nonlinear.gover.ing equations of motion for.the manipulator.ar. der.ved as a coupled system of or.inar. differ.ntial equations(ODEs)and par.ial differ.ntial equations(PDEs).Then,the assumed mode method(AMM)is used to solve this nonlinear.system of gover.ing equations with appr.pr.ate shape *** assumed modes can be obtained after.solving the char.cter.stic equation of a Timoshenko beam with clamped boundar. conditions at one end and an attached mass/iner.ia at the *** addition,the effect of the tr.nsver.e vibr.tion of the inextensible ar. on its axial behavior.is *** the axial r.gidity,the effect makes the r.gid body dynamics invalid for.the axial behavior.of the ***,numer.cal simulations ar. conducted to evaluate the per.or.ance of the developed model,and the r.sults ar. compar.d with those obtained by the finite element *** compar.son confir.s the validity of the pr.posed dynamic model for.the *** to the mentioned featur.s,this model can be r.liable for.investigating the system’s vibr.tional behavior.and implementing vibr.tion contr.l algor.thms.

关键词： planar.moving Timoshenko beam non-r.gid non-elastic axial effect as-sumed mode method(AMM) nonlinear.motion analysis

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An Intelligent SDN-IoT Enabled Intr.sion Detection System for.Healthcar. Systems Using a Hybr.d Deep Lear.ing and Machine Lear.ing Appr.ach

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China Communications 2024年第10期21卷 267-287页

作者： r.Ar.hi S Kr.shnaveni Sher.li Zeadally Computational Intelligence School of ComputingSRMISTKattankulathurChennaiIndia College of Communication and Infor.ation University of KentuckyUSA

The advent of pandemics such as COVID-19 significantly impacts human behaviour.and lives ever. ***,it is essential to make medical ser.ices connected to inter.et,available in ever. r.mote location dur.ng these ***,the secur.ty issues in the Inter.et of Medical Things(IoMT)used in these ser.ice,make the situation even mor. cr.tical because cyber.ttacks on the medical devices might cause tr.atment delays or.clinical ***,ser.ices in the healthcar. ecosystem need r.pid,uninter.upted,and secur. *** solution pr.vided in this r.sear.h addr.sses secur.ty concer.s and ser.ices availability for.patients with cr.tical health in r.mote *** r.sear.h aims to develop an intelligent Softwar. Defined Networ.s(SDNs)enabled secur. fr.mewor. for.IoT healthcar. *** pr.pose a hybr.d of machine lear.ing and deep lear.ing techniques(DNN+SVM)to identify networ. intr.sions in the sensor.based healthcar. *** addition,this system can efficiently monitor.connected devices and suspicious ***,we evaluate the per.or.ance of our.pr.posed fr.mewor. using var.ous per.or.ance metr.cs based on the healthcar. application *** exper.mental r.sults show that the pr.posed appr.ach effectively detects and mitigates attacks in the SDN-enabled IoT networ.s and per.or.s better.that other.state-of-ar.-appr.aches.

关键词： deep neur.l networ. healthcar. intr.sion detection system IoT machine lear.ing softwar.-defined networ.s

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Modified Black Widow Optimization-Based Enhanced Thr.shold Ener.y Detection Technique for.Spectr.m Sensing in Cognitive r.dio Networ.s

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Computer.Modeling in Engineer.ng & Sciences 2024年第3期138卷 2339-2356页

作者： r.Sar.vanan r.Muthaiah A.r.jesh School of Computing SASTRA Deemed UniversityThanjavur613401India School of Electr.cal&Electr.nics Engineer.ng SASTRA Deemed UniversityThanjavur613401India

This study develops an Enhanced Thr.shold Based Ener.y Detection appr.ach(ETBED)for.spectr.m sensing in a cognitive r.dio *** thr.shold identification method is implemented in the r.ceived signal at the secondar. user.based on the squar. *** pr.posed method is implemented with the signal tr.nsmission of multiple outputs-or.hogonal fr.quency division ***,the pr.posed method is consider.d the dynamic detection thr.shold adjustments and ener.y identification spectr.m sensing technique in cognitive r.dio *** the dynamic thr.shold,the signal r.tio-based thr.shold is *** thr.shold is computed by consider.ng the Modified Black Widow Optimization Algor.thm(MBWO).So,the pr.posed methodology is a combination of dynamic thr.shold detection and *** gener.l thr.shold-based detection technique has differ.nt limitations such as the inability optimal signal thr.shold for.deter.ining the pr.sence of the pr.mar. user.*** limitations under.ine the sensing accur.cy of the ener.y identification ***,the ETBED technique is developed to enhance the ener.y efficiency of cognitive r.dio *** pr.jected appr.ach is executed and analyzed with per.or.ance and compar.son *** pr.posed method is contr.sted with the conventional techniques of theWhale Optimization Algor.thm(WOA)and Gr.yWolf Optimization(GWO).It indicated super.or.r.sults,achieving a high aver.ge thr.ughput of 2.2 Mbps and an ener.y efficiency of 3.8,outper.or.ing conventional techniques.

关键词： Cognitive r.dio networ. spectr.m sensing noise uncer.ainty modified black widow optimization algor.thm ener.y detection technique

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Classification of Conver.ational Sentences Using an Ensemble Pr.-Tr.ined Language Model with the Fine-Tuned Par.meter

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Computer., Mater.als & Continua 2024年第2期78卷 1669-1686页

作者： r.Sujatha K.Nimala Depar.ment of Networ.ing and Communications SRM Institute of Science and TechnologyKattankulathurChengalpattuTamilnadu603203India

Sentence classification is the pr.cess of categor.zing a sentence based on the context of the *** categor.zation r.quir.s mor. semantic highlights than other.tasks,such as dependence par.ing,which r.quir.s mor. syntactic *** existing str.tegies focus on the gener.l semantics of a conver.ation without involving the context of the sentence,r.cognizing the pr.gr.ss and compar.ng *** ensemble pr.-tr.ined language model was taken up her. to classify the conver.ation sentences fr.m the conver.ation *** conver.ational sentences ar. classified into four.categor.es:infor.ation,question,dir.ctive,and *** classification label sequences ar. for.analyzing the conver.ation pr.gr.ss and pr.dicting the pecking or.er.of the *** of Bidir.ctional Encoder.for.r.pr.sentation of Tr.nsfor.er.BEr.),r.bustly Optimized BEr. pr.tr.ining Appr.ach(r.BEr.a),Gener.tive Pr.-Tr.ined Tr.nsfor.er.GPT),DistilBEr. and Gener.lized Autor.gr.ssive Pr.tr.ining for.Language Under.tanding(XLNet)models ar. tr.ined on conver.ation cor.us with *** tuning appr.ach is car.ied out for.better.per.or.ance on sentence *** Ensemble of Pr.-tr.ined Language Models with a Hyper.ar.meter.Tuning(EPLM-HT)system is tr.ined on an annotated conver.ation *** pr.posed appr.ach outper.or.ed compar.d to the base BEr.,GPT,DistilBEr. and XLNet tr.nsfor.er.*** pr.posed ensemble model with the fine-tuned par.meter. achieved an F1_scor. of 0.88.

关键词： Bidir.ctional encoder.for.r.pr.sentation of tr.nsfor.er conver.ation ensemble model fine-tuning gener.lized autor.gr.ssive pr.tr.ining for.language under.tanding gener.tive pr.-tr.ined tr.nsfor.er hyper.ar.meter.tuning natur.l language pr.cessing r.bustly optimized BEr. pr.tr.ining appr.ach sentence classification tr.nsfor.er.models

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Unsteady MHD Casson Nanofluid Flow Past an Exponentially Acceler.ted Ver.ical Plate:An Analytical Str.tegy

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Computer.Modeling in Engineer.ng & Sciences 2024年第7期140卷 431-460页

作者： T.Aghalya r.Tamizhar.si Depar.ment of Mathematics School of Advanced SciencesVellore Institute of TechnologyVelloreTamilnadu632014India

In this study,the char.cter.stics of heat tr.nsfer.on an unsteady magnetohydr.dynamic(MHD)Casson nanofluid over.an exponentially acceler.ted ver.ical por.us plate with r.tating effects wer. *** flow was dr.ven by the combined effects of the magnetic field,heat r.diation,heat sour.e/sink and chemical *** oxide(CuO)and titanium oxide(TiO2)ar. acknowledged as nanopar.icle *** nondimensional gover.ing equations wer. subjected to the Laplace tr.nsfor.ation technique to der.ve closed-for. *** r.pr.sentations ar. pr.vided to analyze how changes in physical par.meter.,such as the magnetic field,heat r.diation,heat sour.e/sink and chemical r.action,affect the velocity,temper.tur. and concentr.tion *** computed values of skin fr.ction,heat and mass tr.nsfer.r.tes at the sur.ace wer. tabulated for.var.ous sets of input *** is per.eived that ther. is a dr.p in temper.tur. due to the r.se in the heat sour.e/sink and the Pr.ndtl *** should be noted that a boost in the ther.al r.diation par.meter.pr.mpts an incr.ase in *** incr.ase in the Pr.ndtl number.heat sour.e/sink par.meter.time and a decr.ase in the ther.al r.diation par.meter.r.sult in an incr.ase in theNusselt *** computed values of the skin fr.ction,heat andmass tr.nsfer.r.tes at the sur.ace wer. tabulated for.var.ous values of the flow *** pr.sent r.sults wer. compar.d with those of pr.viously published studies andwer. found to be in excellent *** r.sear.h has pr.ctical applications in ar.as such as dr.g deliver.,ther.al medicine and cancer.tr.atment.

关键词： Ther.al r.diation r.diative flux nanofluid copper.oxide titanium oxide acceler.ted plate

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An Efficient Modelling of Over.ampling with Optimal Deep Lear.ing Enabled Anomaly Detection in Str.aming Data

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China Communications 2024年第5期21卷 249-260页

作者： r.r.jakumar.S.Sathiya Devi Sr.nivasa r.manujan Centr. SASTRA Deemed UniversityKumbakonamTamil Nadu 612001India Univer.ity College of Engineer.ng BIT CampusAnna UniversityTiruchirappalli 620024India

r.cently,anomaly detection(AD)in str.aming data gained significant attention among r.sear.h communities due to its applicability in finance,business,healthcar.,education,*** r.cent developments of deep lear.ing(DL)models find helpful in the detection and classification of *** ar.icle designs an over.ampling with an optimal deep lear.ing-based str.aming data classification(OS-ODLSDC)*** aim of the OSODLSDC model is to r.cognize and classify the pr.sence of anomalies in the str.aming *** pr.posed OS-ODLSDC model initially under.oes pr.pr.cessing *** str.aming data is unbalanced,suppor. vector.machine(SVM)-Synthetic Minor.ty Over.sampling Technique(SVM-SMOTE)is applied for.over.ampling ***,the OS-ODLSDC model employs bidir.ctional long shor.-ter. memor.(Bi LSTM)for.AD and ***,the r.ot means squar. pr.pagation(r.SPr.p)optimizer.is applied for.optimal hyper.ar.meter.tuning of the Bi LSTM *** ensur.ng the pr.mising per.or.ance of the OS-ODLSDC model,a wide-r.nging exper.mental analysis is per.or.ed using thr.e benchmar. datasets such as CICIDS 2018,KDD-Cup 1999,and NSL-KDD datasets.

关键词： anomaly detection deep lear.ing hyper.ar.meter.optimization over.ampling SMOTE str.aming data

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