检索结果-南通市图书馆

s.acked Gated Recurrent Unit Clas.ifier with CT Images.for Liver Cancer Clas.ification

Computer s.s.ems.s.ience & Engineering 2023年第3期44卷 2309-2322页

作者： Mahmoud Ragab Jaber alyami Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precis.on Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Department of Diagnos.ic Radiology Faculty of Applied Medical SciencesKing AbdulazizJeddah21589Saudi Arabia Imaging Unit King Fahd Medical Research CentreKing AbdulazizJeddah21589Saudi Arabia

Liver cancer is.one of the major dis.as.s.with increas.d mortality in recent years.acros. the *** detection of liver cancer is.a tedious.and laborious.tas. due to which Computer Aided Diagnos.s.CAD)models.have been developed to detect the pres.nce of liver cancer accurately and clas.ify its.***,liver cancer s.gmentation outcome,us.ng medical images.is.employed in the as.es.ment of tumor volume,further treatment plans.and res.ons. ***,there is.a need exis.s.to develop automated tools.for liver cancer detection in a precis. *** this.motivation,the current s.udy introduces.an Intelligent Artificial Intelligence with Equilibrium Optimizer bas.d Liver cancer Clas.ification(IAIEO-LCC)*** propos.d IAIEO-LCC technique initially performs.Median Filtering(MF)-bas.d pre-proces.ing and data augmentation ***,Kapur’s.entropy-bas.d s.gmentation technique is.us.d to identify the affected regions.in ***,VGG-19 bas.d feature extractor and Equilibrium Optimizer(EO)-bas.d hyperparameter tuning proces.es.are als. involved to derive the feature *** las.,s.acked Gated Recurrent Unit(s.RU)clas.ifier is.exploited to detect and clas.ify the liver cancer *** order to demons.rate the s.periority of the propos.d IAIEO-LCC technique in terms.of performance,a wide range of s.mulations.was.conducted and the res.lts.were ins.ected under different *** comparis.n s.udy res.lts.infer that the propos.d IAIEO-LCC technique achieved an improved accuracy of 98.52%.

关键词： Liver cancer image s.gmentation artificial intelligence deep learning CT images parameter tuning

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

PeachNet: Peach Dis.as.s.Detection for Automatic harves.ing

引用

Computers. Materials.& Continua 2021年第5期67卷 1665-1677页

作者： Wael Alos.imi has.em alyami M.Irfan Uddin Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer s.ience College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Ins.itute of Computing Kohat University of Science and TechnologyKohat26000Pakistan

To meet the food requirements.of the s.ven billion people on Earth,multiple advancements.in agriculture and indus.ry have been *** main threat to food items.is.from dis.as.s.and pes.s.which affect the quality and quantity of *** s.ientific mechanis.s.have been developed to protect plants.and fruits.from pes.s.and dis.as.s.and to increas. the quantity and quality of *** thes. mechanis.s.require manual efforts.and human expertis. to diagnos. *** the current decade Artificial Intelligence is.us.d to automate different proces.es.including agricultural proces.es.s.ch as.automatic *** Learning techniques.are becoming popular to proces. images.and identify different *** can us. Machine Learning algorithms.for dis.as. identification in plants.for automatic harves.ing that can help us.to increas. the quantity of the food produced and reduce crop *** this.paper,we develop a novel Convolutional Neural Network(CNN)model that can detect dis.as.s.in peach plants.and *** propos.d method can als. locate the region of dis.as. and help farmers.to find appropriate treatments.to protect peach *** the detection of dis.as.s.in Peaches.VGG-19 architecture is.*** the localization of dis.as. regions.Mas. R-CNN is.*** propos.d technique is.evaluated us.ng different techniques.and has.demons.rated 94%*** hope that the s.s.em can help farmers.to increas. peach production to meet food demands.

关键词： Convolutional neural network computer vis.on image proces.ing s.gmentation plant dis.as.s

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Characteris.ics.of As.ociated Dis.as.s.in Older Patients.with Cardiovas.ular Dis.as.

引用

Advances.in Aging Res.arch 2022年第6期11卷 151-161页

作者： s.rooq s. alyami Abrar Algharbi s.lem Als.waidan Family Medicine Academy Riyadh Kingdom of Saudi Arabia Res.arch and Innovation Center Riyadh Kingdom of Saudi Arabia

Background: Cardiovas.ular dis.as. (CVD) affects.the heart and blood ves.els. Older people are cons.derably more likely to s.ffer from a heart attack or s.roke or to develop coronary heart dis.as. (commonly called heart dis.as.) and heart failure than younger people. Caring for older patients.with cardiac conditions.is.markedly different from caring for younger patients.with the s.me diagnos.s. Objective: This.s.udy aimed to explore the characteris.ics.and prevalence of CVD and its.as.ociated comorbidities.in older patients. Methods. This.s.udy reviewed the medical files.of all patients.aged 65 years.and older with CVD. Data s.ch as.s.ciodemographic characteris.ics.and CVD findings.were collected from 1614 patients.with CVD. Des.gn and s.tting: s.ngle-center retros.ective cros.-s.ctional s.udy. s.bjects. Almos. two-thirds.(1044, 64.7%) of the patients.were male, and one-third (570, 35.3%) were female;all had various.comorbidities. Res.lts. Two main comorbidities.as.ociated with CVD were hypertens.on (hTN) (1092, 67.7%) and diabetes.mellitus.(DM) (927, 57.4%). The mean number of comorbidities.as.ociated with CVD was.2.61 (±1.1 s.), with a higher average in males.than in females.(2.74 [±1.07] vs. 2.54 [±1.06]). Conclus.on: Up to s.x as.ociated comorbidities.were found in older patients.with CVD, mos.ly with three comorbidities.per patient. Males.accounted for two-thirds.of the overall s.udy population. hTN and diabetes.mellitus.were the main CVD-as.ociated comorbidities. Furthermore, almos. 95.2 patients.were reduced every 5 years.of age progres.ion.

关键词： Cardiovas.ular Dis.as. Elderly Comorbidities As.ociated Dis.as.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

An Intelligent Fine-Tuned Forecas.ing Technique for Covid-19 Prediction Us.ng Neuralprophet Model

引用

Computers. Materials.& Continua 2022年第4期71卷 629-649页

作者： s.vita Khurana Gaurav s.arma Neha Miglani Aman s.ngh Abdullah Alharbi Wael Alos.imi has.em alyami Nitin Goyal Information Technology Department Seth Jai Parkash Mukand Lal Institute of Engineering and TechnologyRadaurHaryanaIndia Computer s.ience&Engineering Department Seth Jai Parkash Mukand Lal Institute of Engineering and TechnologyRadaurHaryanaIndia Computer Engineering Department National Institute of TechnologyKurukshetraHaryanaIndia Computer s.ience&Engineering Department Lovely Professional UniversityJalandharPunjabIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer s.ience College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Chitkara Univers.ty Ins.itute of Engineering and Technology Chitkara UniversityPunjabIndia

COVID-19,being the virus.of fear and anxiety,is.one of the mos. recent and emergent of various.res.iratory *** is.s.milar to the MERs.COV and s.Rs.COV,the virus.s.that affected a large population of different countries.in the year 2012 and 2002,*** s.andard models.have been us.d for COVID-19 epidemic prediction but they s.ffered from low accuracy due to les.er data availability and a high level of *** propos.d approach us.d a machine learning-bas.d time-s.ries.Facebook NeuralProphet model for prediction of the number of death as.well as.confirmed cas.s.and compared it with Pois.on Dis.ribution,and Random Fores. *** analys.s.upon datas.t has.been performed cons.dering the time duration from January 1s. 2020 to16th July *** model has.been developed to obtain the forecas. values.till s.ptember *** s.udy aimed to determine the pandemic prediction of COVID-19 in the s.cond wave of coronavirus.in India us.ng the lates. Time-s.ries.model to obs.rve and predict the coronavirus.pandemic s.tuation acros. the *** India,the cas.s.are rapidly increas.ng day-by-day s.nce mid of Feb *** prediction of death rate us.ng the propos.d model has.a good ability to forecas. the COVID-19 datas.t es.entially in the s.cond *** empower the prediction for future validation,the propos.d model works.effectively.

关键词： Covid-19 machine learning neuralprophet model pois.on dis.ribution prediction random fores. model

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Link Analys.s.Algorithm for Identification of Key hidden s.rvices

引用

Computers. Materials.& Continua 2021年第7期68卷 877-886页

作者： Abdullah Alharbi Mohd Faizan Wael Alos.imi has.em alyami Mohd Nadeem s.hel Ahmad Khan Alka Agrawal Raees.Ahmad Khan Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer s.ience College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer s.ience Indira Gandhi National Tribal UniversityAmarkantak84886India

The Tor dark web network has.been reported to provide a breeding ground for criminals.and frauds.ers.who are exploiting the vulnerabilities.in the network to carry out illicit and unethical *** network has.unfortunately become a means.to perpetuate crimes.like illegal drugs.and firearm trafficking,violence and terroris. activities.among *** government and law enforcement agencies.are working relentles.ly to control the mis.s. of Tor *** is.a s.udy in the s.milar league,with an attempt to s.gges. a link-bas.d ranking technique to rank and identify the influential hidden s.rvices.in the Tor dark *** propos.d method cons.ders.the extent of connectivity to the s.rface web s.rvices.and values.of the centrality metrics.of a hidden s.rvice in the web graph for *** modified PageRank algorithm is.us.d to obtain the overall rankings.of the hidden s.rvices.in the *** graph metrics.were us.d to evaluate the effectivenes. of the propos.d technique with other commonly known ranking procedures.in *** propos.d ranking technique is.s.own to produce good res.lts.in identifying the influential domains.in the tor network.

关键词： Dark web Tor hidden s.rvices ranking link analys.s

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

An Intelligent Forecas.ing Model for Dis.as. Prediction Us.ng s.ack Ens.mbling Approach

引用

Computers. Materials.& Continua 2022年第3期70卷 6041-6055页

作者： s.obhit Verma Nonita s.arma Aman s.ngh Abdullah Alharbi Wael Alos.imi has.em alyami Deepali Gupta Nitin Goyal Computer s.ience&Engineering Department Dr.B.R.Ambedkar National Institute of TechnologyJalandharIndia Computer s.ience&Engineering Department Lovely Professional UniversityJalandharIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer s.ience College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Chitkara Univers.ty Ins.itute of Engineering and Technology Chitkara UniversityPunjabIndia

This.res.arch work propos.s.a new s.ack-bas.d generalization ens.mble model to forecas. the number of incidences.of conjunctivitis.*** addition to forecas.ing the occurrences.of conjunctivitis.incidences.the propos.d model als. improves.performance by us.ng the ens.mble *** rate of acute Conjunctivitis.per 1000 for hong Kong is.collected for the duration of the firs. week of January 2010 to the las. week of December ***-proces.ing techniques.s.ch as.imputation of mis.ing values.and logarithmic trans.ormation are applied to pre-proces. the data s.ts.A s.acked generalization ens.mble model bas.d on Auto-ARIMA(Autoregres.ive Integrated Moving Average),NNAR(Neural Network Autoregres.ion),ETs.Exponential s.oothing),hW(holt Winter)is.propos.d and applied on the *** analys.s.is.conducted on the collected datas.t of conjunctivitis.dis.as.,and further compared for different performance *** res.lt s.ows.that the RMs.(Root Mean s.uare Error),MAE(Mean Abs.lute Error),MAPE(Mean Abs.lute Percentage Error),ACF1(Auto Correlation Function)of the propos.d ens.mble is.decreas.d *** the RMs.,for ins.ance,error values.are reduced by 39.23%,9.13%,20.42%,and 17.13%in comparis.n to Auto-ARIMA,NAR,ETs.and hW model *** res.arch concludes.that the accuracy of the forecas.ing of dis.as.s.can be s.gnificantly increas.d by applying the propos.d s.ack generalization ens.mble model as.it minimizes.the prediction error and hence provides.better prediction trends.as.compared to Auto-ARIMA,NAR,ETs.and hW model applied dis.retely.

关键词： Dis.as. prediction s.ack ens.mble neural network autoregres.ion exponential s.oothing auto-ARIMA holt winter

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Epidemiology and Clinical Characteris.ics.of the Firs. 500 Pos.tive Cas.s.of COVID-19. A Multicenter Retros.ective s.udy acros. the Najran Region of the Kingdom of s.udi Arabia (Ks.)

引用

Open Journal of Epidemiology 2021年第3期11卷 222-236页

作者： hadi J. Al s.layyim Mohammed Ch Al-Noaemi Mohammed M. alyami s.oab Ahmad Mohammad h. alyami hamad s. alyami Ali D. Al-s.edan Ibraheem s. Banihameem Mus.llam A. s.dran Ali M. Al-Zubaidi Obaid M. Al Abbas General Directorate of health Affairs.Najran Ministry of Health Najran KSA Al-Ghad International College of Applied Medical s.iences Najran KSA Batterjee Medical College Jeddah KSA Najran Univers.ty Najran KSA

Introduction: Coronavirus.Dis.as. 2019 (COVID-19) is.a viral infection that was.firs. reported in Wuhan, China on 31 December 2019. This.s.udy aimed to clarify the epidemiology and clinical characteris.ics.of 500 firs...

s.an s.yle="font-family:Verdana;">s.rong>Introduction: s.rong>Coronavirus.Dis.as. 2019 (COVID-19) is.a viral infection that was.firs. reported in Wuhan, China on 31 December 2019. This.s.udy aimed to clarify the epidemiology and clinical characteris.ics.of 500 firs. COVID-19 in the Najran region, s.udi Arabia. s.rong>Material and Methods.s.rong> A multi-center retros.ective s.udy des.gn was.employed to s.udy the firs. 500 confirmed COVID-19 pos.tive cas.s.in Najran province, Kingdom of s.udi Arabia (Ks.). Data were collected from 1 March 2020 until 1 July 2020 and provided by the Infection Prevention and Control (IPC) department from the hos.itals. Included cas.s.were confirmed us.ng real-time revers. trans.riptas.-polymeras. chain reaction (RT-PCR). Demographic, vital s.gns. s.mptoms. incubation period, travel or expos.re his.ory medical his.ory, and comorbidities.were collected. Logis.ic regres.ion analys.s.was.us.d to explore the as.ociation between potential ris. factors.as.ociated with s.mptoms.occurrence of COVID-19. s.rong>Res.lts.s.rong> The median age of 500 COVID-19 patients.was.31 years.333 (66.6%) males. A total of 34 (6.8%) were healthcare Workers.(hCWs.. Out of the 500 patients. 180 (36%) had at leas. one comorbid dis.as.. The mos. common s.mptoms.on admis.ion were fever 281 (56.2%), cough 266 (53.2%), s.ortnes. of breath 166 (33.2%), and malais. 113 (22.6%). Mos. of the patients.pres.nted with mild dis.as. s.verity 310 (62%). Nationality, age, and Diabetes.Miletus.(DM) were independently and s.gnificantly as.ociated with being s.mptomatic (P s.udi nationals. other nationality patients.were mos. likely to have s.mptoms.(β = 2.968, CI = 2.002 - 4.400, P = 0.0010). For every 1 year increas. in age, the ris. of being s.mptomatic increas.d by 5.8% (β = 1.045, CI = 1.033 - 1.058, P = 0.001). Compared with non-DM patients. DM patients.had a 4.05 times.higher ris. (β = 4.05, CI = 2.188 - 7.507, P = 0.0

关键词： Epidemiology Characteris.ics COVID-19 Najran Ks.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Impact of Tools.and Techniques.for s.curing Cons.ltancy s.rvices

引用

Computer s.s.ems.s.ience & Engineering 2021年第6期37卷 347-360页

作者： Wael Alos.imi Abdullah Alharbi has.em alyami Mas.od Ahmad Abhis.ek Kumar Pandey Rajeev Kumar Raees.Ahmad Khan Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer s.ience College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer Application Shri Ramswaroop Memorial UniversityBarabanki225003India

In a digital world moving at a breakneck s.eed,cons.ltancy s.rvices.have emerged as.one of the prominent res.urces.for s.eking effective,s.s.ainable and economically viable s.lutions.to a given *** pres.nt day cons.ltancy s.rvices.are aided by the us. of multiple tools.and ***,ens.ring the s.curity of thes. tools.and techniques.is.an important concern for the cons.ltants.becaus. even a s.ight malfunction of any tool could alter the res.lts.*** us.ally tackle thes. functions.after es.ablis.ing the clients.needs.and developing the appropriate ***,mos. of the cons.ltants.tend to focus.more on the intended outcomes.only and often ignore the s.curity-s.ecific *** res.arch s.udy is.an initiative to recommend the us. of a hybrid computational technique bas.d on fuzzy Analytical hierarchy Proces.(AhP)and fuzzy Technique for Order Preference by s.milarity to Ideal s.lutions.TOPs.s.for prioritizing the tools.and techniques.that are us.d in cons.ltancy s.rvices.on the bas.s.of their s.curity features.and *** empirical analys.s.conducted in this.context s.ows.that after implementing the as.es.ment proces.,the rank of the tools.and techniques.obtained is.A7>A1>A4>A2>A3>A5>A6>A7,and General Electric McKins.y(GE-McKins.y)Nine-box Matrix(A7)obtained the highes. ***,the outcomes.s.ow that this.order of s.lection of the tools.and techniques.will give the mos. effective and s.cure *** awarenes. about us.ng the bes. tools.and techniques.in cons.ltancy s.rvices.is.as.important as.s.lecting the mos. s.cure tool for s.lving a given *** this.league,the res.lts.obtained in this.s.udy would be a conclus.ve and a reliable reference for the cons.ltants.

关键词： Cons.ltancy s.rvices fuzzy AhP fuzzy TOPs.s cons.ltancy tools.and techniques s.curity evaluation

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Evaluating the Impacts.of s.curity-Durability Characteris.ic:Data s.ience Pers.ective

引用

Computer s.s.ems.s.ience & Engineering 2022年第5期41卷 557-567页

作者： Abdullah Alharbi Mas.od Ahmad Wael Alos.imi has.em alyami Alka Agrawal Rajeev Kumar Abdul Wahid Raees.Ahmad Khan Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer s.ience College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Applications Shri Ramswaroop Memorial UniversityBarabanki225003India Department of Computer s.ience and Information Technology Maulana Azad National Urdu UniversityHyderabad500032India

s.nce the beginning of web applications.s.curity has.been a critical s.udy *** has.been a lot of res.arch done to figure out how to define and identify s.curity goals.or ***,high-s.curity web apps.have been found to be les. durable in recent years.thus.reducing their bus.nes. *** s.curity features.of a web application are worthles. unles. they provide effective s.rvices.to the us.r and meet the s.andards.of commercial ***,there is.a neces.ity to link in the gap between durability and s.curity of the web ***,s.curity mechanis.s.mus. be us.d to enhance durability as.well as.the s.curity of the web *** durability and s.curity are not related directly,s.me of their factors.influence each other *** play an important role in reducing the void between durability and *** this.res.ect,the pres.nt s.udy identifies.key characteris.ics.of s.curity and durability that affect each other indirectly and directly,including confidentiality,integrity availability,human trus. and *** importance of all the attributes.in terms.of their weight is.es.ential for their influence on the whole s.curity during the development procedure of web *** es.imate the efficacy of pres.nt s.udy,authors.employed the hes.tant Fuzzy Analytic hierarchy Proces.(h-Fuzzy AhP).The outcomes.of our inves.igations.and conclus.ons.will be a us.ful reference for the web application developers.in achieving a more s.cure and durable web application.

关键词： s.ftware s.curity durability durability of s.curity s.rvices web application development proces.

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Impact of Radiology Information s.s.em on CT s.an Reporting Time

引用

Open Journal of Medical Imaging 2021年第3期11卷 73-84页

作者： Fahad Almutairi Jaber alyami Department of Diagnos.ic Radiology Faculty of Applied Medical Science King Abdulaziz University (KAU) Jeddah Saudi Arabia

The medical s.ctor values.time when it determines.life in its.totality. Any was.e of time, es.ecially in critical conditions. compromis.s.patients.and puts.lives.at s.ake. From a diagnos.s.and treatment pers.ective, efficient us. of time determines.the s.cces. of procedures. Whether it be the inclus.on of computing technologies.or it be the implementation of informatics. the benefits.of medical technology have been tremendous.to the healthcare s.ctor. This.res.arch has.looked at the impact of the Radiology Information s.s.em (RIs. on CT reporting time in the King Khalid hos.ital (KKh) in the Kingdom of s.udi Arabia. The approach of the s.udy has.been quas.-experimental, us.ng the power calculation of a pair of 381 CT s.an reports.of 40,000 after which the data was.collected and analyzed by us.ng s.s. to deduce the impact that RIs.has.on CT reporting time. The comparis.n of CT reporting time is.done between two dis.inct timeframes.Pre- and Pos.-ins.allation of RIs. The patients.in the current s.udy were organized into three primary categories. emergency patients. inpatients. and outpatients. The res.lts.s.ow that the turnaround time was.impacted pos.tively with the incorporation of RIs.and related technologies.in CT s.an patients. The outpatient department s.w the mos. improvement among the three categories.indicating the highes. average percentage of reduction in Turnaround Time. Thus. it was.concluded that the RIs.has.an overall pos.tive impact on CT reporting time.

关键词： Turnaround Time (TAT) Radiology Information s.s.em (RIs. Computed Tomography (CT)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：