Design & Test of an Advanced Web Security Analysis Tool (AWSAT)

Considering the escalating frequency and sophistication of cyber threats targeting web applications, this paper proposes the development of an automated web security analysis tool to address the accessibility gap for non-security professionals. This paper presents the design and implementation of an automated web security analysis tool, AWSAT, aimed at enabling individuals with limited security expertise to effectively assess and mitigate vulnerabilities in web applications. Leveraging advanced scanning techniques, the tool identifies common threats such as Cross-Site Scripting (XSS), SQL Injection, and Cross-Site Request Forgery (CSRF), providing detailed reports with actionable insights. By integrating sample payloads and reference study links, the tool facilitates informed decision-making in enhancing the security posture of web applications. Through its user-friendly interface and robust functionality, the tool aims to democratize web security practices, empowering a wider audience to proactively safeguard against cyber threats.

Bibliometric analysis of the status and trend of biological soil crusts research from 1912 to 2023

Biological soil crusts(BSCs)play an important role in soil development and ecological function,and it is more important for quantitatively analyzing the processes and trends of BSCs to identify the advantages and disadvantages of BSCs research for the development and application of BSCs theory.Bibliometric analysis of 2,186 BSCs literatures from Web of Science showed an exponential growth trend,as China and the United States as the top 2 in terms of publication volume.High quality publications are mainly from European and American countries,such as the United States,Germany and Spain.The top 3 publishers are Journal of Arid Environments,Soil Biology&Biochemistry and Plant and Soil,and disciplines include ecology,environmental science,and soil science,etc..Research institutions mainly affiliate to the Chinese Academy of Sciences,United States Department of the Interior,United States Geological Survey,Hebrew University of Jerusalem,Consejo Superior de Investigaciones Cientificas,and Universidad Rey Juan Carlos.Authors mainly come from United States,Israel,Spain and China.Funds are mainly from the National Natural Science Foundation of China,Spanish Government,Chinese Academy of Sciences,and National Science Foundation of the United States.Biological soil crusts(biocrusts,cyanobacteria,lichens,moss crusts,bryophytes),drylands,climate change,photosynthesis and desert are high-frequency keywords.Future research will focus on the driving mechanisms of BSCs on global biogeochemical cycles,maintaining global biodiversity on important ecological processes,global C,N,and P cycles.The impact on biological invasion,sandstorms,and water balance,multifunctional and reciprocal mechanisms for maintaining the stability of desert and sandy ecosystems,and impact on the formulation of management policies for arid ecosystems,corresponding to global climate change,and the estimation of regional,local,and microscale distribution of BSCs based on machine deep learning modeling gradually focus on.The ecosystem service functions of BSCs,the soil and water conservation and soil stability mediated by BSCs in arid and semi-arid regions,and the excavation of stress resistant genes for BSCs will be emphasized.

Python Server Page Performance Analysis and Modeling

Today, in the field of computer networks, new services have been developed on the Internet or intranets, including the mail server, database management, sounds, videos and the web server itself Apache. The number of solutions for this server is therefore growing continuously, these services are becoming more and more complex and expensive, without being able to fulfill the needs of the users. The absence of benchmarks for websites with dynamic content is the major obstacle to research in this area. These users place high demands on the speed of access to information on the Internet. This is why the performance of the web server is critically important. Several factors influence performance, such as server execution speed, network saturation on the internet or intranet, increased response time, and throughputs. By measuring these factors, we propose a performance evaluation strategy for servers that allows us to determine the actual performance of different servers in terms of user satisfaction. Furthermore, we identified performance characteristics such as throughput, resource utilization, and response time of a system through measurement and modeling by simulation. Finally, we present a simple queue model of an Apache web server, which reasonably represents the behavior of a saturated web server using the Simulink model in Matlab (Matrix Laboratory) and also incorporates sporadic incoming traffic. We obtain server performance metrics such as average response time and throughput through simulations. Compared to other models, our model is conceptually straightforward. The model has been validated through measurements and simulations during the tests that we conducted.

Web Intelligence with Enhanced Sunflower Optimization Algorithm for Sentiment Analysis

Exponential increase in the quantity of user generated content in websites and social networks have resulted in the emergence of web intelligence approaches.Several natural language processing(NLP)tools are commonly used to examine the large quantity of data generated online.Particularly,sentiment analysis(SA)is an effective way of classifying the data into different classes of user opinions or sentiments.The latest advances in machine learning(ML)and deep learning(DL)approaches offer an intelligent way of analyzing sentiments.In this view,this study introduces a web intelligence with enhanced sunflower optimization based deep learning model for sentiment analysis(WIESFO-DLSA)technique.The major intention of the WIESFO-DLSA technique is to identify the expressions or sentiments that exist in the social networking data.The WIESFO-DLSA technique initially performs pre-processing and word2vec feature extraction processes to generate a meaningful set of features.At the same time,bidirectional long short term memory(BiLSTM)model is applied for classification of sentiments into different class labels.Moreover,an enhanced sunflower optimization(ESFO)algorithm is exploited to optimally adjust the hyperparameters of the BiLSTM model.A wide range of simulation analyses is performed to report the better outcomes of the WISFO-DLSA technique and the experimental outcomes ensured its promising performance under several measures.

Bibliometric analysis of Wendan decoction research based on the Web of Science database

Objective:With the development of Wendan decoction(WDD)and more literature on the research of WDD,we aimed to present an insight into WDD research using bibliometric analysis.Methods:We retrieved data from the Web of Science database from 2008 to 2022.Publication trends were examined using data from journals,authors,institutions,international collaborations,citations,and keywords from the online analytical platform Bibliometric(http://bibliometric.com).Results:Over the years,an increase in the use of keywords,including depression,insomnia,Alzheimer’s disease,schizophrenia,hippocampus,and insomnia,was observed.The outcomes of the analysis revealed that topics related to WDD have become increasingly prevalent in the last five years,and the internationally recognized application of WDD is mainly neuropsychiatric diseases.Conclusion:We exhibited WDD research progress by identifying and evaluating WDD-focused articles.Our analysis revealed the trend of the topics from 2008 to 2022,which can assist scholars in identifying future trends.

ISI Web of Knowledge新增分析工具Results Analysis探讨——BIOSIS Previews检索实践

针对检索结果的信息分析和信息挖掘的分析工具Results Analysis是ISI Web of Knowledge于2004年新增的服务功能。以BIOSIS Previews为检索实例,详细探讨Results Analysis分析工具的使用方法和功能,并提出改进的建议。

基于Web of Science对土壤胶体影响重金属行为研究的计量分析

为全面了解土壤胶体影响重金属行为方向的研究现状和前沿动态,基于Web of Science(WoS)核心合集数据库,利用WoS自带分析工具、HistCite引文图谱分析软件、VOSviewer和Citespace可视化分析软件对1990—2021年间土壤胶体影响重金属行为的文献进行了计量分析。结果表明,在世界范围内该方向的发文量逐年稳步增长,我国相关研究起步较晚,但近些年呈现迅猛发展的势头。目前土壤胶体影响重金属行为研究发文量最多的国家和研究机构分别是美国和中国科学院,发文量最高的期刊为Environmental Science&Technology,主要研究学科为环境科学与生态学的交叉学科。关键词聚类分析显示“土壤胶体颗粒粒径分级与重金属的形态分布”、“土壤胶体的释放、沉积及对重金属的吸附作用”和“土壤胶体颗粒的迁移机制与迁移模型研究”为主要的研究主题,人工纳米颗粒在土壤中的行为、迁移转化以及生物有效性是现阶段的研究热点。利用场流分离技术结合单粒子电感耦合等离子体质谱等技术,探讨土壤胶体与人工纳米颗粒之间发生的复杂相互作用及其对人工纳米颗粒迁移归趋与环境命运的影响,是未来的主要研究方向。

ISI Web of Science的Results Analysis功能与使用

详细介绍了美国Web of Science数据库的发展以及该数据库新推出的Results Analysis功能和使用方法。

基于Web of Science数据库的淀粉多酚相互作用研究的可视化分析

为了解淀粉多酚相互作用的研究现状和发展趋势,采用文献计量学方法,以Web of Science核心合集数据库出版日期为2010-01-01至2024-04-18的论文为研究对象,进行可视化分析,为相关学科的研究提供参考。结果显示:淀粉多酚相互作用研究领域的年发文量总体呈上升趋势;中国研究机构在该领域发文数量优势明显,但在影响力方面与新西兰、澳大利亚和西班牙等国的研究机构相比还有一定差距;该领域研究热点主要集中在食品科学技术与化学学科方向,但同时也展示出多学科交叉融合的发展趋势。消化、特性、相互作用、生物利用度、抗菌活性、分子对接、复合物、纳米颗粒、活性膜等方面是该领域的研究前沿。

基于Web of Science全球小麦低温逆境的研究态势分析

低温逆境已成为限制全球小麦稳产丰产与优质的主要农业气象灾害之一。为客观全面地了解全球小麦低温逆境领域的研究现状和发展趋势,基于Web of Science核心数据库中2000-2020年发表的以“小麦”和“低温”为研究主题的相关文献为数据源,利用CiteSpace可视化分析软件对检索到与主题密切相关的475篇文献从发文数量、发文国家、发文作者、研究机构、研究热点等方面进行统计分析。结果表明:自2000年以来,小麦低温逆境领域年发文数量总体呈波动上升趋势;以中国、美国和加拿大等国家为代表的农业大国均致力于该领域的研究;美国学者Skin⁃ner是该领域发文量最多的作者,与其他学者合作密切的有李向楠和Fowler;该领域文献多发表于《Molecular Genetics and Genomics》和《Annual Review of Plant Biology》等优质期刊上;俄罗斯科学院是该领域发文量最多的科研机构;耐低温小麦新品种培育、耐寒分子生物学研究以及提高小麦产质量等方面成为该领域的研究热点。

基于Web of Science数据库的副凋亡研究文献计量分析

目的分析近20年来副凋亡研究现状、热点和发展趋势,为今后的研究提供参考。方法以副凋亡为主题在Web of Science数据库中检索并筛选于2003年1月1日至2023年12月31日发表的语言为英语的论著和综述,利用CiteSpace和VOSviewer软件生成知识图谱。结果共纳入305篇文献,副凋亡研究的发文量呈逐年递增趋势。中国(106篇)和亚洲大学(韩国)分别是发文量最多的国家和机构,美国与其他国家合作更频繁。刊文量较多的期刊为《Cell death disease》《Photochemistry and Photobiology》《Oncotarget》。关键词的热度分析显示线粒体功能障碍、内质网自噬、乳腺癌和肝细胞癌是该领域的研究热点。结论国内外副凋亡研究发展迅速,尤其在肿瘤学领域,信号通路将成为未来研究的重点。

Latent semantic analysis for query interfaces of deep web sites

To further enhance the efficiencies of search engines,achieving capabilities of searching,indexing and locating the information in the deep web,latent semantic analysis is a simple and effective way.Through the latent semantic analysis of the attributes in the query interfaces and the unique entrances of the deep web sites,the hidden semantic structure information can be retrieved and dimension reduction can be achieved to a certain extent.Using this semantic structure information,the contents in the site can be inferred and the similarity measures among sites in deep web can be revised.Experimental results show that latent semantic analysis revises and improves the semantic understanding of the query form in the deep web,which overcomes the shortcomings of the keyword-based methods.This approach can be used to effectively search the most similar site for any given site and to obtain a site list which conforms to the restrictions one specifies.

Crosstalk between nano/micro particulate technologies and Chinese medicine: a bibliometric analysis

Background:Chinese medicine is widely applied in Asian and Western countries for its outstanding therapeutic effect,but there are still unsolved problems such as unclear active ingredients and pharmacological effects.The application of nano/microparticle technology in Chinese medicine may become a promising strategy to solve this problem in the near future(provided that more efforts are made to in-depth exploration).In this work,a comprehensive analysis of the field was carried out from a bibliometrics perspective,and further the publishing trends and research hotspots were figured out.Methods:The articles or reviews from 2000 to 2020 were retrieved in the database of Web of Science Core Collection.The documents were processed by Clarivate Analytic,Visualization of Similarities viewer,Statistical Analysis Toolkit for Informetrics and bibliometric online platform,and the data were visualized.Finally,a bibliometric summary,citation analysis results and research trends were described.Results:A bibliometric analysis of 773 articles of interest showed that research in this field had continued to grow in recent years,with a high degree of interdisciplinary integration.Secondly,this field attached great importance to the quantitative analysis of Chinese medicine combined with nano/micro particle technology.Chinese medicine,nanoparticles and liposomes were the most accessed keywords.China was the main contributing country,and the top-10 contributing organizations were all located in China.Co-authorship was a common phenomenon in this field.Conclusion:The published literature on the application of nano/micro particle technology in Chinese medicine was summarized.The results suggested that bibliometric analysis could predict possible directions for future research in this field.

SIMPLIFIED ANALYSIS METHOD FOR ULTIMATE LOAD CAPACITY OF WEB PLATES OF BOX GIRDERS

The prosperous post buckling load capacity of web plates of box girders can be used.In this article,the post buckling behaviour of web plates of box girders under different loading conditions is theoretically analyzed and on the basis of domestic and overseas design codes of steel structures,the corresponding simplified analysis methods are put forward for the engineering design or code revision.It is proved that the simplified methods are safe,efficient and practicable through the comparison between several results.

Mapping theme trends and knowledge structures for human neural stem cells:a quantitative and co-word biclustering analysis for the 2013-2018 period

Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.

WEB SERVICE SELECTION ALGORITHM BASED ON PRINCIPAL COMPONENT ANALYSIS

Existing Web service selection approaches usually assume that preferences of users have been provided in a quantitative form by users. However, due to the subjectivity and vagueness of preferences, it may be impractical for users to specify quantitative and exact preferences. Moreover, due to that Quality of Service (QoS) attributes are often interrelated, existing Web service selection approaches which employ weighted summation of QoS attribute values to compute the overall QoS of Web services may produce inaccurate results, since they do not take correlations among QoS attributes into account. To resolve these problems, a Web service selection framework considering user's preference priority is proposed, which incorporates a searching mechanism with QoS range setting to identify services satisfying the user's QoS constraints. With the identified service candidates, based on the idea of Principal Component Analysis (PCA), an algorithm of Web service selection named PCA-WSS (Web Service Selection based on PCA) is proposed, which can eliminate the correlations among QoS attributes and compute the overall QoS of Web services accurately. After computing the overall QoS for each service, the algorithm ranks the Web service candidates based on their overall QoS and recommends services with top QoS values to users. Finally, the effectiveness and feasibility of our approach are validated by experiments, i.e. the selected Web service by our approach is given high average evaluation than other ones by users and the time cost of PCA-WSS algorithm is not affected acutely by the number of service candidates.

Stem cell transplantation for treating Parkinson's disease Literature analysis based on the Web of Science

OBJECTIVE： To identify global research trends of stem cell transplantation for treating Parkinson＇s disease using a bibliometric analysis of the Web of Science. DATA RETRIEVAL： We performed a bibliometric analysis of data retrievals for stem cell transplantation for treating Parkinson＇s disease from 2002 to 2011 using the Web of Science. SELECTION CRITERIA： Inclusion criteria： （a） peer-reviewed articles on stem cell transplantation for treating Parkinson＇s disease which were published and indexed in the Web of Science; （b） type of articles： original research articles, reviews, meeting abstracts, proceedings papers, book chapters, editorial material and news items; （c） year of publication： 2002-2011. Exclusion criteria： （a） articles that required manual searching or telephone access; （b） we excluded documents that were not published in the public domain; （c） we excluded a number of corrected papers from the total number of articles. MAIN OUTCOME MEASURES： （1） Type of literature; （2） annual publication output; （3） distribution according to journals; （4） distribution according to subject areas; （5） distribution according to country; （6） distribution according to institution; （7） comparison of countries that published the most papers on stem cell transplantation from different cell sources for treating Parkinson＇s disease; （8） comparison of institutions that published the most papers on stem cell transplantation from different cell sources for treating Parkinson＇s disease in the Web of Science from 2002 to 2011; （9） comparison of studies on stem cell transplantation from different cell sources for treating Parkinson＇s disease RESULTS： In total, 1 062 studies on stem cell transplantation for treating Parkinson＇s disease appeared in the Web of Science from 2002 to 2011, almost one third of which were from American authors and institutes. The number of studies on stem cell transplantation for treating Parkinson＇s disease had gradually increased over the past 10 years. Papers on stem cell transplantation for treating Parkinson＇s disease appeared in journals such as Stem Cells and Experimental Neurology. Although the United States published more articles addressing neural stem cell and embryonic stem cell transplantation for treating Parkinson＇s disease, China ranked first for articles published on bone marrow mesenchymal stem cell transplantation for treating Parkinson＇s disease. CONCLUSION： From our analysis of the literature and research trends, we found that stem cell transplantation for treating Parkinson＇s disease may offer further benefits in regenerative medicine.

Semantic Session Analysis for Web Usage Mining

A semantic session analysis method partitioning Web usage logs is presented. Semantic Web usage log preparation model enhances usage logs with semantic. The Markov chain model based on ontology semantic measurement is used to identifying which active session a request should belong to. The competitive method is applied to determine the end of the sessions. Compared with other algorithms, more successful sessions are additionally detected by semantic outlier analysis.

Analysis and Simulink Modeling of the Performance of Dynamic Web Server Using JSP and PHP

In recent years, web technology carried on growing and at same time, the number of internet users increased significantly in number. Today, a Web server is capable of processing millions of requests per day, but during the peak period may collapse and becomes critical causing unavailability of the services offered by the servers. That is why Web server performance is a topic of great interest to many researchers. In this paper, we evaluate experimentally the impact of JSP and PHP dynamic content technology: JSP and PHP with access to a database of performance data of Apache Web server. Using the “ApacheBench” performance measurement tool, the approach is to compare the performances of four different configurations of a Web server, such as: Apache Web server implementing JSP technology with access to PostgreSQL database, Apache using PHP technology with the PostgreSQL as database, Apache Web server using the JSP technology with access to MySQL database, finally Apache and PHP with DBMS MySQL. At the end of this article, we also present a Simulink model of Web server performance based on the simple M/M/1 queue. During the modeling, the MATLAB software was used.

Benchmarking Approach to Compare Web Applications Static Analysis Tools Detecting OWASP Top Ten Security Vulnerabilities

To detect security vulnerabilities in a web application,the security analyst must choose the best performance Security Analysis Static Tool(SAST)in terms of discovering the greatest number of security vulnerabilities as possible.To compare static analysis tools for web applications,an adapted benchmark to the vulnerability categories included in the known standard Open Web Application Security Project(OWASP)Top Ten project is required.The information of the security effectiveness of a commercial static analysis tool is not usually a publicly accessible research and the state of the art on static security tool analyzers shows that the different design and implementation of those tools has different effectiveness rates in terms of security performance.Given the significant cost of commercial tools,this paper studies the performance of seven static tools using a new methodology proposal and a new benchmark designed for vulnerability categories included in the known standard OWASP Top Ten project.Thus,the practitioners will have more precise information to select the best tool using a benchmark adapted to the last versions of OWASP Top Ten project.The results of this work have been obtaining using widely acceptable metrics to classify them according to three different degree of web application criticality.