检索结果-南通市图书馆

Statistical functions used for spatial modelling due to assessment of landslide distribution and landscape-interaction factors in Iran

引用

Geoscience Frontiers 2020年第4期11卷 1257-1269页

作者： Hamid Reza Pourghasemi narges kariminejad Amiya Gayen Marko Komac Department of Natural Resources and Environmental Engineering College of AgricultureShiraz UniversityShirazIran Gorgan University of Agricultural Sciences and Natural Resources Dept.of Watershed&Arid Zone ManagementGorganIran Department of Geography University of CalcuttaKolkataIndia Faculty of Civil and Geodetic Engineering University of LjubljanaSlovenia

Landslides influence the capacity for safe and sustainable development of mountainous *** study explores the spatial distribution of and the interactions between landslides that are mapped using global positioning system(GPS) and extensive field surveys in Mazandaran Province,***-pattern assessment is undertaken using several univariate summary statistical functions,including pair correlation,spherical-contact distribution,nearest-neighbor analysis,and O-ring analysis,as well as bivariate summary statistics,and a markcorrelation *** maximum entropy method was applied to prioritize the factors controlling the incidence of landslides and the landslides susceptibility *** validation processes were considered for separated 30%data applying the ROC curves,fourfold plot,and Cohen’s kappa *** results show that pair correlation and O-ring analyses satisfactorily predicted landslides at scales from 1 to 150 *** smaller scales,from 150 to 400 m,landslides were randomly *** nearest-neighbor distribution function show that the highest distance to the nearest landslide occurred in the 355 *** spherical-contact distribution revealed that the patterns were random up to a spatial scale of 80 *** bivariate correlation functions revealed that landslides were positively linked to several linear features(including faults,roads,and rivers) at all spatial *** mark-correlation function showed that aggregated fields of landslides were positively correlated with measures of land use,lithology,drainage density,plan curvature,and aspect,when the numbers of landslides in the groups were greater than the overall average *** results of analysis of factor importance have showed that elevation(topography map scale:1:25,000),distance to roads,and distance to rivers are the most important factors in the occurrence of *** susceptibility model of landslides indicates an excellent accuracy,i.e.,the AUC value of lands

关键词： Landslide Spatial point pattern Summary statistic GIS Iran

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Gully erosion spatial modelling: Role of machine learning algorithms in selection of the best controlling factors and modelling process

引用

Geoscience Frontiers 2020年第6期11卷 2207-2219页

作者： Hamid Reza Pourghasemi Nitheshnirmal Sadhasivam narges kariminejad Adrian L.Collins Department of Natural Resources and Environmental Engineering College of AgricultureShiraz UniversityShirazIran Department of Geography School of Earth ScienceBharathidasan UniversityTiruchirappalli620024Tamil NaduIndia Department of Watershed and Arid Zone Management Gorgan University of Agricultural Sciences and Natural ResourcesGorganIran Sustainable Agriculture Sciences Rothamsted ResearchNorth WykeOkehamptonDevonEX202SBUK

This investigation assessed the efficacy of 10 widely used machine learning algorithms(MLA)comprising the least absolute shrinkage and selection operator(LASSO),generalized linear model(GLM),stepwise generalized linear model(SGLM),elastic net(ENET),partial least square(PLS),ridge regression,support vector machine(SVM),classification and regression trees(CART),bagged CART,and random forest(RF)for gully erosion susceptibility mapping(GESM)in *** location of 462 previously existing gully erosion sites were mapped through widespread field investigations,of which 70%(323)and 30%(139)of observations were arbitrarily divided for algorithm calibration and *** controlling factors for gully erosion,namely,soil texture,annual mean rainfall,digital elevation model(DEM),drainage density,slope,lithology,topographic wetness index(TWI),distance from rivers,aspect,distance from roads,plan curvature,and profile curvature were ranked in terms of their importance using each *** MLA were compared using a training dataset for gully erosion and statistical measures such as RMSE(root mean square error),MAE(mean absolute error),and *** on the comparisons among MLA,the RF algorithm exhibited the minimum RMSE and MAE and the maximum value of R-squared,and was therefore selected as the best *** variable importance evaluation using the RF model revealed that distance from rivers had the highest significance in influencing the occurrence of gully erosion whereas plan curvature had the least *** to the GESM generated using RF,most of the study area is predicted to have a low(53.72%)or moderate(29.65%)susceptibility to gully erosion,whereas only a small area is identified to have a high(12.56%)or very high(4.07%)*** outcome generated by RF model is validated using the ROC(Receiver Operating Characteristics)curve approach,which returned an area under the curve(AUC)of 0.985,proving the excellent forecasting ability of the model

关键词： Machine learning algorithm Gully erosion Random forest Controlling factors Variable importance

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran

引用

Geoscience Frontiers 2021年第2期12卷 505-519页

作者： Phuong Thao Thi Ngo Mahdi Panahi Khabat Khosravi Omid Ghorbanzadeh narges kariminejad Artemi Cerda Saro Lee Institute of Research and Development Duy Tan UniversityDa Nang550000Viet Nam Division of Science Education Kangwon National UniversityChuncheon-siGangwon-do24341Republic of Korea Geoscience Platform Division Korea Institute of Geoscience and Mineral Resources(KIGAM)124Gwahak-ro Yuseong-guDaejeon34132Republic of Korea Department of Watershed Management Engineering Sari Agricultural Science and Natural Resources UniversitySariIran Department of Geoinformatics–Z_GIS University of SalzburgSalzburg5020Austria Department of Watershed and Arid Zone Management Gorgan University of Agricultural Sciences and Natural ResourcesGorgan49189-434Iran Soil Erosion and Desertification Research Group Department of GeographyUniversity of ValenciaValenciaSpain Department of Geophysical Exploration Korea University of Science and Technology217 Gajeong-ro Yuseong-guDaejeon34113Republic of Korea

The identification of landslide-prone areas is an essential step in landslide hazard assessment and mitigation of landslide-related *** this study,we applied two novel deep learning algorithms,the recurrent neural network(RNN)and convolutional neural network(CNN),for national-scale landslide susceptibility mapping of *** prepared a dataset comprising 4069 historical landslide locations and 11 conditioning factors(altitude,slope degree,profile curvature,distance to river,aspect,plan curvature,distance to road,distance to fault,rainfall,geology and land-sue)to construct a geospatial database and divided the data into the training and the testing *** then developed RNN and CNN algorithms to generate landslide susceptibility maps of Iran using the training *** calculated the receiver operating characteristic(ROC)curve and used the area under the curve(AUC)for the quantitative evaluation of the landslide susceptibility maps using the testing *** performance in both the training and testing phases was provided by the RNN algorithm(AUC=0.88)than by the CNN algorithm(AUC=0.85).Finally,we calculated areas of susceptibility for each province and found that 6%and 14%of the land area of Iran is very highly and highly susceptible to future landslide events,respectively,with the highest susceptibility in Chaharmahal and Bakhtiari Province(33.8%).About 31%of cities of Iran are located in areas with high and very high landslide *** results of the present study will be useful for the development of landslide hazard mitigation strategies.

关键词： CNN RNN Deep learning Landslide Iran

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Two-dimensional MOF-based materials:Preparations and applications as electrodes in Li-ion batteries

引用

Journal of Energy Chemistry 2024年第10期97卷 388-418页

作者： narges Nobakht Seyyed Ahmad Etghani Mohammad Hosseini Seyed Hamed Aboutalebi Condensed Matter National Laboratory Institute for Research in Fundamental Sciences Batt Scout Company School of Biological Sciences Institute for Research in Fundamental Sciences

Two-dimensional(2D) metal-organic frameworks(MOFs) are rapidly emerging as a unique class of mushrooming family of 2D materials offering distinctive features,such as hierarchical porosity,extensive surface area,easily available active sites,and versatile,adaptable *** promising characteristics have positioned them as highly appealing alternatives for a wide range of applications in energy storage technologies,including lithium ***,the poor conductivity and limited stability of 2D MOFs have limited their real applications in electrochemical energy *** limitations have therefore warranted ongoing research to enhance the performance of 2D *** the significance of 2D MOF-based materials as an emerging class of advanced materials,a multitude of strategy has been devised to address these challenges such as synthesizing 2D conductive MOFs and derivatives along with 2D MOF *** promising approach involves the use of 2D MOF derivatives,including transition metal oxides,which due to their abundant unsatu rated active metal sites and shorter diffusion paths,offer superior electrochemical ***,by combining pristine 2D MOFs with other materials,hybrid 2D MOF materials can be *** hybrids,with their enhanced stability and conductivity,can be directly utilized as active materials in lithium *** the present review,we categorize 2D MOF-based materials into three distinct groups:pristine 2D MOFs,2D MOFderived materials,and 2D MOF hybrid *** synthesis methods for each group,along with their specific applications as electrode materials in lithium-ion batteries,are discussed in *** comprehensive review provides insights into the potential of 2D MOFs while highlighting the opportunities and challenges that are present in this evolving field.

关键词： 2D materials 2D metal-organic frameworks Energy storage Li-ion batteries Synthesis

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Quasi-normal modes,emission rate,and shadow of charged AdS black holes with perfect fluid dark matter

引用

Chinese Physics C 2024年第8期48卷 246-256页

作者： Hao Chen Shi-Hai Dong Sepehr Hassanabadi narges Heidari Hassan Hassanabadi School of Physics and Electronic Science Zunyi Normal UniversityZunyi 563006China Research Center for Quantum Physics Huzhou UniversityHuzhou 313000China Centro de Investigación en Computación Instituto Politécnico NacionalUPALMMexico City 07700Mexico Department of Physics University of TehranNorth Karegar AvenueTehran 14395-547Iran Faculty of Physics Shahrood University of TechnologyShahroodIran Department of Physics University of Hradec KrálovéRokitanského 6250003 Hradec KrálovéCzechia

In this study,we comprehensively investigated charged AdS black holes surrounded by a distinct form of dark *** particular,we focused on key elements including the Hawking temperature,quasi-normal modes(QNMs),emission rate,and *** first calculated the Hawking temperature,thereby identifying critical values such as the critical radius and maximum temperature of the black hole,essential for determining its phase *** analysis focused on the QNMs of charged AdS black holes immersed in perfect fluid dark matter(PFDM)within the massless scalar field *** the Wentzel-Kramers-Brillouin(WKB)method,we accurately derived the frequencies of these ***,we conducted a meticulous assessment of how the intensity of the PFDM parameterαinfluences the partial absorption cross sections of the black hole,along with a detailed study of the frequency variation of the energy emission *** pivotal role of geodesics in understanding astrophysical black hole characteristics is ***,we examined the influence of the dark matter parameter on photon evolution by computing the shadow radius of the black *** findings distinctly demonstrate the significant impact of the PFDM parameterαon the boundaries of this shadow,providing crucial insights into its features and *** also provide profound insights into the intricate dynamics between a charged AdS black hole,novel dark matter,and various physical phenomena,elucidating their interplay and contributing valuable knowledge to the understanding of these cosmic entities.

关键词： black hole dark matter quasi-normal modes greybody factor shadow radius

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Hepatoprotective effect of Holothuria leucospilota methanolic extract on dimethyl nitrosamine-induced hepatotoxicity in rats

引用

Animal Models and Experimental Medicine 2024年第4期7卷 544-552页

作者： Fatemeh Dejan Amineh Daneshi Javad Rajabi Aslani Nasrollah Ahmadi narges Eskandari Roozbahani Elaham Rahmanian Reza Behmanesh Hamid Reza Gheisari Department of Basic Sciences School of Veterinary MedicineShiraz UniversityShirazIran Department of Education Farzanegan High SchoolTehranKohgiluyeh and Boyer AhmadIran Food Hygiene Department School of Veterinary MedicineShiraz UniversityShirazIran Department of Pathology School of Veterinary MedicineShiraz UniversityShirazIran Clinical Research Development Center Imam Reza HospitalKermanshah University of Medical SciencesKermanshahIran Molecular Dermatology Research Center Shiraz University of Medical SciencesShirazIran Department of Anatomy School of MedicineShiraz University of Medical SciencesShirazIran Faculty of Veterinary Medicine Garmsar BranchDepartment of RadiologyIslamic Azad UniversityGarmsarIran

Background:Complementary medicine is an interesting field for extracting bio-active compounds from various plant and animal *** hepatoprotective effect of the methanolic extract of a species of sea cucumber called Holothuria leu-cospilota in an animal model of liver cancer caused by dimethyl nitrosamine(DMN)was ***:Wistar female rats were randomly divided into five groups(n=12):control(intact),positive control(received 1%DMN[10 mg/kg/week,intraperitoneally]for 12 weeks),and three treatment groups(received 50,100,and 200 mg/kg/day ***-cospilota extract orally for 12 weeks along with intraperitoneal administration of 1%DMN[10 mg/kg/week]).In all groups,ultrasound was performed on the liver every week to check its *** sampling and liver isolation were performed on three occasions,at 4,8,and 12 weeks,to check liver enzymes and the histopathological condition of the liver tissue(every week,four animals from each group were randomly selected).Results:Liver density changes were evident from the eighth week onward in the positive control *** results indicated pathologic changes in the positive control group after 4 *** increase in liver enzymes in the posi-tive control group was significantly different from that in the treatment and control ***:We demonstrated the hepatoprotective effect of *** on DMN-induced liver damage in rats using biochemical and histological parameters and *** additional research(in silico or in vitro)is needed to find the exact mechanism and the main biological compound in ***.

关键词： dimethyl nitrosamine hepatotoxicity Holothuria leucospilota sea cucumber

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

Governance of noncommunicable diseases in Afghanistan

引用

Chronic Diseases and Translational Medicine 2024年第3期10卷 238-246页

作者： narges Neyazi Ali M.Mosadeghrad Maryam Tajvar Najibullah Safi International Campus School of Public HealthTehran University of Medical SciencesTehranIran Department of Health System Development World Health OrganizationAfghanistan Department of Health Management Policy and EconomicsSchool of Public HealthTehran University of Medical SciencesTehranIran

Background Noncommunicable diseases(NCDs)are the main reasons of mortality *** of every two person is dying due to NCDs in *** policy actors,mainly the World Health Organization(WHO),published several reports and declarations on controlling and preventing *** study aimed to provide a situation for governance of NCDs in Afghanistan and proper solutions for identified *** We conducted qualitative research utilizing interpretive phenomenology.A self-developed questionnaire was developed to conduct the semi-structured interviews with 39 experts from *** results were analyzed using a deductive framework *** building block framework of health system developed by the WHO was used as predefined framework for this *** The governance building block of health system consists of five subthemes including policy making,planning,organizing,stewardship,and *** identified main strengths,weaknesses,opportunities,and challenges for these *** experts also provided key recommendations to address the *** Management of NCDs is a neglected part of the health system in *** evidence-based policy making with technical and indigenous planning,establishing responsive units with adequate financial and human resources within different ministries to address“health in all policies”concept,passing and implementing national laws and regulations to support national strategies for prevention and control of NCDs,and establishing decentralized monitoring systems to control the implementation of these strategies are the main recommendations of this *** government and international policy actors should invest and support the development of a multisectoral coordination system at national level for Afghanistan.

关键词： governance health in all policies health system multisectoral coordination noncommunicable diseases

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Flow-injection spectrophotometric determination of vanadium with malachite green oxalate by bromate in acidic and micellar medium

引用

Rare Metals 2011年第3期30卷 216-221页

作者： Mohsen Keyvanfarda narges Abedib Faculty of Science Majlesi BranchIslamic Azad University Group of Chemistry Shahreza BranchIslamic Azad University

A flow injection method is proposed for determining vanadium（V）. The method is based on its catalytic effect on the oxidation of malachite green oxalate by bromate. The reaction was monitored spectrophotometrically by measuring malachite green oxalate absorbance at λmax = 625 nm. The reagents and manifold variables, which have influences on the sensitivity, were investigated and the optimum conditions were established. The optimized conditions made it possible to determine vanadium in the ranges of 10-140 ng/mL with a detection limit of 5.2 ng/mL and a sample rate of 20 ± 5 samples/h.

关键词： vanadium flow injection analysis malachite green oxalate spectrophotometry micellar medium

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Damage identification in connections of moment frames using time domain responses and an optimization method

引用

Frontiers of Structural and Civil Engineering 2021年第4期15卷 851-866页

作者： narges PAHNABI Seyed Mohammad SEYEDPOOR Department of Civil Engineering Shomal UniversityAmol***Iran

Damage is defined as changes to the material and/or geometric properties of a structural system,comprising changes to the boundary conditions and system connectivity,adversely affecting the system’s *** the elements of structures,particularly critical components,is vital to evaluate the structural lifespan and *** this study,an optimization-based method for joint damage identification of moment frames using the time-domain responses is *** beam-to-column connection in a metallic moment frame structure is modeled by a zero-length rotational spring at both ends of the beam *** each connection,an end-fixity factor is specified,which changes between 0 and ***,the problem of joint damage identification is converted to a standard optimization *** objective function is defined using the nodal point accelerations extracted from the damaged structure and an analytical model of the structure in which the nodal accelerations are obtained using the Newmark *** optimization problem is solved by an improved differential evolution algorithm(IDEA)for identifying the location and severity of the *** assess the capability of the proposed method,two numerical examples via different damage scenarios are ***,a comparison between the proposed method and the existing damage identification method is *** outcomes reveal the high efficiency of the proposed method for finding the severity and location of joint damage considering noise effects.

关键词： damage identification beam-to-column connection time-domain response optimization

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Non-uniform EWMA-PCA based cache size allocation scheme in Named Data Networks

引用

Science China(Information Sciences) 2018年第1期61卷 123-135页

作者： narges MEHRAN Naser MOVAHHEDINIA Department of Computer Architecture Faculty of Computer Engineering University of Isfahan

As a data-centric cache-enabled architecture, Named Data Networking(NDN) is considered to be an appropriate alternative to the current host-centric IP-based Internet infrastructure. Leveraging innetwork caching, name-based routing, and receiver-driven sessions, NDN can greatly enhance the way Internet resources are being used. A critical issue in NDN is the procedure of cache allocation and management. Our main contribution in this research is the analysis of memory requirements to allocate suitable Content-Store size to NDN routers, with respect to combined impacts of long-term centrality-based metric and Exponential Weighted Moving Average(EWMA) of short-term parameters such as users behaviours and outgoing *** determine correlations in such large data sets, data mining methods can prove valuable to *** this paper, we apply a data-fusion approach, namely Principal Component Analysis(PCA), to discover relations from short-and long-term parameters of the router. The output of PCA, exploited to mine out raw data sets, is used to allocate a proper cache size to the router. Evaluation results show an increase in the hit ratio of Content-Stores in sources, and NDN routers. Moreover, for the proposed cache size allocation scheme,the number of unsatisfied and pending Interests in NDN routers is smaller than the Degree-Centrality cache size scheme.

关键词： content centric networks Named Data Networks future Internet NDN cache size exponential weighted moving average principal component analysis

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

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：