A Statistical Analysis on Papers and Authors in Wuhan University Journal of Natural Sciences in 2003

The author of this article counts and analyzes the papers and authors printed in 2003 Wuhan University Journal of Natural Sciences by means of bibliometric statistical methods, of which the characteristics of papers and authors are expounded. The result shows that the ratio of reprinting of this journal has been increased and the areas where the authors come from and their organization scattered in the whole world are widened as well, which implies a better-known fame of the journal. Key words Wuhan University Journal of Natural Sciences - papers analysis - authors analysis - statistical analysis CLC number G 353.1 Biography: HU Min(1961-), famale, Associate professor, research direction; editing science and biochemistry.

How Does a University’s Computer Science Strength and Location Impact Its Total ChatGPT News?

As AI, starting with ChatGPT has become increasingly prevalent in academic discussions, school especially, colleges have become hotspots of AI activities and debates. Colleges have the responsibility of addressing not only the academic, integrity-based concerns of students using AI for their homework, but also as the forebearers of new learning and technology, how AI will change their students’ futures and careers. In this study, we will explore the different factors, such as Computer Science Score and location, that might affect how much a college discusses AI, ChatGPT specifically. To demonstrate the validity of our research, we used self-collected data with our methods detailed below.

Analysis software for upper atmospheric data developed by the IUGONET project and its application to polar science

To comprehensively understand the Arctic and Antarctic upper atmosphere, it is often crucial to analyze various data that are obtained from many regions. Infrastructure that promotes such interdisciplinary studies on the upper atmosphere has been developed by a Japanese inter-university project called the Inter-university Upper atmosphere Global Observation Network （1UGONET）. The objective of this paper is to describe the infrastructure and tools developed by IUGONET. We focus on the data analysis software. It is written in Interactive Data Language （IDL） and is a plug-in for the THEMIS Data Analysis Software suite （TDAS）, which is a set of IDL libraries used to visualize and analyze satellite- and ground-based data. We present plots of upper atmospheric data provided by IUGONET as examples of applications, and verify the usefulness of the software in the study of polar science. We discuss IUGONET＇s new and unique developments, i.e., an executable file of TDAS that can run on the IDL Virtual Machine, IDL routines to retrieve metadata from the IUGONET database, and an archive of 3-D simulation data that uses the Common Data Format so that it can easily be used with TDAS.

Analysis of Turnaround Time during Casefile and Sample Processing in Forensic Science Laboratory

Turnaround time (TAT), is the total time interval from when a request for forensic laboratory analysis is received until when the results are collected by the client. The performance of the forensic science laboratory (FSL) is affected by extended TAT in the case-file and sample processing steps necessitating critical analysis reported in this paper. The total TAT was obtained as the sum of measured time interval for each work station (six of which were studied). Extended TAT leads not only to customer complaints, but also paves way for customers to seek for services from competitors, leading to lost competitive edge for the FSL. This study was conducted to establish the baseline data on TAT (between 2014 and 2015) to enable implementation of corrective actions. Six casefile processing steps were identified for which starting and completion times were recorded in dates, giving TAT values in days. The TAT data for each step was collected as each case file is processed and analyzed separately using statistical analysis while comparing the data for the two years (Y2014 and Y2015) and?among?three forensic science laboratory disciplines (biology/DNA, chemistry and toxicology). The overall turnaround time (TTAT) was?the?highest for forensic biology/DNA compared to forensic toxicology and chemistry. The analysis time (TAT2) was the longest of all six case-file processing steps. Using Pareto analysis, the three major steps necessitating root-cause analysis and intervention to minimize TAT were analysis turnaround time (TAT2), report collection time (TAT6) and report review time (TAT4). It was concluded that the causes for extended TAT are within control by the FSL management, although financial and human resources are required.

Analysis of the Effect of Subgroup Size on the X-Bar Control Chart Using Forensic Science Laboratory Sample Influx Data

This paper analyzes the effect of subgroup size on the x-bar chart characteristics using sample influx (SIF) into forensic science laboratory (FSL). The characteristics studied include changes in out-or-control points (OCP), upper control limit UCLx, and zonal demarcations. Multi-rules were used to identify the number of out-of-control-points, Nocp as violations using five control chart rules applied separately. A sensitivity analysis on the Nocp was applied for subgroup size, k, and number of sigma above the mean value to determine the upper control limit, UCLx. A computer code was implemented using a FORTRAN code to create x-bar control-charts and capture OCP and other control-chart characteristics with increasing k from 2 to 25. For each value of k, a complete series of average values, Q(p), of specific length, Nsg, was created from which statistical analysis was conducted and compared to the original SIF data, S(t). The variation of number of out-of-control points or violations, Nocp, for different control-charts rules with increasing k was determined to follow a decaying exponential function, Nocp = Ae–α, for which, the goodness of fit was established, and the R2 value approached unity for Rule #4 and #5 only. The goodness of fit was established to be the new criteria for rational subgroup-size range, for Rules #5 and #4 only, which involve a count of 6 consecutive points decreasing and 8 consecutive points above the selected control limit (σ/3 above the grand mean), respectively. Using this criterion, the rational subgroup range was established to be 4 ≤ k ≤ 20 for the two x-bar control chart rules.

基于Web of Science的本体研究论文定量分析

以Web of Science为情报源,以主题词为检索方式,采用定量分析的方法,从论文的年代分布、期刊分布、作者、关键词以及被引频次等几个方面进行统计分析,确定本体研究领域的核心期刊、核心机构、核心作者和经典文献,同时对本体的研究主题也进行了基于定量的分析。

2000年《Science》载文、作者和引文的统计分析

本文统计了《Science》 2 0 0 0年的论文、作者及其引文 ,重点讨论了该刊的载文量、论文作者的系统及地区分布 ,作者的合作度。

体育教育研究情况分析暨国际国内研究比较——基于ISI Web of Science平台及中国学术期刊网络出版平台

以Web of Science平台和中国知网的学术期刊网络出版平台为研究工具,在工具评价基础上,应用引文分析、统计等方法对1996-2010年间SCI、SSCI、A&HCI、CPCI、CAJD所收录的体育教育方面的研究从量与趋势、期刊分布、学科分布、出版时间分布、国家分布、主要作者和核心机构几方面进行统计分析,并与国内情况做了一些比较。通过分析,反馈出该领域的国际国内领军人物、主导机构、刊物导向等,发现了我国当前研究同国际上的一些差距,希望能为该领域研究、合作与管理、成果转化等提供参考与便利,并促进研究的进一步国际化。

基于Web of Science的西北工业大学科技论文统计分析

利用Web of Science检索平台对2005-2009年西北工业大学发表的科技论文被SCIE收录及引用的情况,从论文数量与类型、论文来源、论文学科、论文合作机构和国家、论文作者等进行了定量统计分析,以揭示西北工业大学的学科研究发展现状与趋势,为学校教学科研工作和科技论文投稿提供参考依据。

《Agricultural Sciences in China》近五年载文统计分析

采用文献计量学方法,对2006-2010年《Agricultural Sciences in China》刊载的论文数量、作者合作、地区分布、基金论文及引文、普赖斯指数进行了统计分析,旨在为评估该期刊提供参考数据。

基于Web of Science数据库竞争情报论文的统计分析

以Web of Science数据库为检索来源,以主题检索的形式得出竞争情报的相关文献,运用文献计量学的方法对这些文献进行论文发表数量的年度分析,不同语种数量分析,不同国家地区分析,以及论文作者的分布和期刊来源分析。由此反映出WOS数据库竞争情报领域发表论文的状况,总结了该领域发表论文的一些特点,为以后相关内容的进一步研究提供借鉴。

Web of Science平台在科研分析中的应用——以风险管理研究领域为例

以Web of Science数据库为研究工具,对1990—2010年间SSCI、A&HCI、CPCI-SSH收录的风险管理学研究论文从研究量与趋势、学科领域分布、国家分布、作者和科研机构分布等方面进行统计分析,概述了风险管理领域研究进展。

基于Web of Science的中国政法大学法学论文产出的统计分析

以Web of Science数据库为数据源,通过限定作者单位为中国政法大学的检索条件,检索出中国政法大学在2008—2018年发表的法学领域内的相关论文,并从总发文量、年度发文量、期刊载文量以及论文引用频次统计、作者情况等方面进行统计分析,揭示了中国政法大学法学领域的研究现状和发展趋势,文末结合统计分析的结果针对如何提升该校的科研水平提出了一些建议。

Web of Science收录荒漠草原恢复文献统计分析

荒漠草原是十分脆弱的生态系统,也是草原和沙漠之间最特殊和敏感的生态过渡带。因为人为因素和自然因素的影响,荒漠草原退化日益严重。近年来,我国对荒漠草原恢复的研究愈来愈重视,科技投入不断加大,已经成为科学界的一个热点。本文试图以web of science引文数据库作为检索对象,分别对荒漠草原退化修复研究的发文量、国家分布情况、研究方向等领域的文献进行统计分析,以便了解全球荒漠草原恢复的研究情况,为我国学者开展荒漠草原恢复的研究提供一些帮助。

基于Web of Science的我国生物技术文献的计量研究

本文以JCR最新网络版(2009年)收录的38种生物技术源期刊的文献为研究对象,以Web of Science为研究工具,以文献研究和统计分析为主要研究方法,对10年来(2001-2010年)收录的生物技术领域的文献数量、类型、学科领域、来源期刊、科研机构、被引频次等要素进行分析,并与美国生物技术研究的现状进行比较,为我国生物技术的研究与发展提供参考。

基于Web of Science数据库的区块链论文统计分析

文章基于Web of Science数据库,利用知识图谱分析工具HistCite,对2008—2020年发表的区块链领域文献的年发文量、语种分布、国家/地区分布、核心机构及作者进行分析,并生成该领域引文编年图,为区块链领域的研究人员提供研究参考。

A New Statistical Modeling Approach for Survival Analysis of Cancer Patients—Multiple Myeloma Cancer

Background: The Cox Proportional Hazard (Cox-PH) model has been a popularly used method for survival analysis of cancer data given the survival times as a function of covariates or risk factors. However, it is very seldom to see the assumptions for the application of the Cox-PH model satisfied in most of the research studies, raising questions about the effectiveness, robustness, and accuracy of the model predicting the proportion of survival times. This is because the necessary assumptions in most cases are difficult to satisfy, as well as the assessment of interaction among covariates. Methods: To further improve the therapeutic/treatment strategy for cancer diseases, we proposed a new approach to survival analysis using multiple myeloma (MM) cancer data. We first developed a data-driven nonlinear statistical model that predicts the survival times with 93% accuracy. We then performed a parametric analysis on the predicted survival times to obtain the survival function which is used in estimating the proportion of survival times. Results: The new proposed approach for survival analysis has proved to be more robust and gives better estimates of the proportion of survival than the Cox-PH model. Also, satisfying the proposed model assumptions and finding interactions among risk factors is less difficult compared to the Cox-PH model. The proposed model can predict the real values of the survival times and the identified risk factors are ranked according to the percent of contribution to the survival time. Conclusion: The new proposed nonlinear statistical model approach for survival analysis of cancer diseases is very efficient and provides an improved and innovative strategy for cancer therapeutic/treatment.

The Application of SPSS in Statistical Analysis Project-A Study of the Inheritance of Chinese Traditional Shadow Play in Schools

Chinese traditional shadow play has been selected into the List of Intangible Cultural Heritage in 2011.Yet,reflecting abundant national cultural values,such traditional art form is degenerating and fading out from people’s sight.As the earliest statistical analysis software,Statistical Package for the Social Science(SPSS)is comprehensive in analyzing and managing statistical data.This study explores the application of SPSS in minimizing the workload of researchers while raising the validity of data in supporting the analysis of the survey data which reflected the inheritance and development of Chinese traditional shadow play in schools.

Assessing the performance of different outcomes for tumor growth studies with animal models

The consistency of reporting results for patient-derived xenograft(PDX) studies is an area of concern. The PDX method commonly starts by implanting a derivative of a human tumor into a mouse, then comparing the tumor growth under different treatment conditions. Currently, a wide array of statistical methods(e.g., t-test, regression, chi-squared test) are used to analyze these data, which ultimately depend on the outcome chosen(e.g., tumor volume, relative growth, categorical growth). In this simulation study, we provide empirical evidence for the outcome selection process by comparing the performance of both commonly used outcomes and novel variations of common outcomes used in PDX studies. Data were simulated to mimic tumor growth under multiple scenarios, then each outcome of interest was evaluated for 10?000 iterations. Comparisons between different outcomes were made with respect to average bias, variance, type-1 error, and power. A total of 18 continuous, categorical, and time-to-event outcomes were evaluated, with ultimately 2 outcomes outperforming the others: final tumor volume and change in tumor volume from baseline.Notably, the novel variations of the tumor growth inhibition index(TGII)— a commonly used outcome in PDX studies— was found to perform poorly in several scenarios with inflated type-1 error rates and a relatively large bias. Finally, all outcomes of interest were applied to a real-world dataset.

科学知识图谱视域下国内外图情领域开放科学比较研究

通过对比分析国内外图书情报领域开放科学研究的脉络和热点主题,为探索我国图书情报领域开放科学研究的发展提供参考。以国内外图书情报领域开放科学研究文献为样本,对国内外科研实力分布趋势、高影响力作者统计、研究机构统计、关键词统计进行了科学知识图谱视角下的计量和可视化分析,并对国内外图书情报领域开放科学研究热点聚类主题进行统计分析。研究发现了国内外图书情报领域开放科学研究国家分布,揭示了主要作者、主要研究机构和主题关键词的年限分布和发文贡献力量的变化,总结了国内外图书情报领域开放科学研究主题的不同之处。