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.

Statistics and Analysis on Papers Published on Journal ‘Advanced Technology of Electrical Engineering and Energy’

The paper presented the statistics and analysis on papers published on the journal 'Advanced Technology of Electrical Engineering and Energy' from 1996 to 2008: the paper acceptance rate,the paper category,the first author's affiliations,the top 7 first authors,the top 10 coauthors and also the journal evaluation indexes of the journal.It offers details of the journal to anyone interested,especially to our editorial board and our broad readers.

Statistical Analysis for Test Papers with Software SPSS

Test paper evaluation is an important work for the management of tests,which results are significant bases for scientific summation of teaching and learning.Taking an English test paper of high students'monthly examination as the object,it focuses on the interpretation of SPSS output concerning item and whole quantitative analysis of papers.By analyzing and evaluating the papers,it can be a feedback for teachers to check the students'progress and adjust their teaching process.

Statistic Analysis on Quantitative Characteristics for Developing the DUS Test Guideline of Ranunculus asiaticus L.

Selection of quantitative characteristics, division of their expression ranges, and selection of example varieties are key issues on developing DUS Test Guidelines, which are more crucial for quantitative characteristics since their expressions vary in different degrees. Taking the development of DUS Test Guideline of Ranunculus asiaticus L. as an example, this paper applied statistic-based approaches for the analyses of quantitative characteristics. We selected 9 quantitative characteristics from 18 pre-selected characteristics, based on within-variety uniformity, stability between different growing cycles, and correlation among characteristics, by the analyses of coefficient of variation, paired-samples t-test and partial correlation. The expression ranges of the 9 selected quantitative characteristics were divided into different states using descriptive statistics and distribution frequency of varieties. Eight of the 9 selected quantitative characteristics were categorized as standard characteristics as they showed one peak in distribution frequency of 120 varieties in various expressions of the characteristics, whereas, plant height can be categorized as grouping characteristic since it gave two peaks, and can group the varieties into pot and cut varieties. Finally, box-plot was applied to visually select the example varieties, and varieties 7, 12, and 28 were determined as the example varieties for plant height. The methods described in this paper are effective for the selection of quantitative characteristics, division of expression ranges, and selection of example varieties in Ranunculus asiaticus L. for DUS test, and may also be interest for other plant genera.

100 classic papers of interventional radiology: A citation analysis

AIM: To define the 100 citation classic papers of interventional radiology.METHODS: Using the database of Journal Citation Reports the 40 highest impact factor radiology journals were chosen. From these journals the 100 most cited interventional radiology papers were chosen and analysed.RESULTS: The top paper received 2497 citations and the 100 th paper 200 citations. The average number of citations was 320. Dates of publication ranged from 1953- 2005. Most papers originated in the United States(n = 67) followed by Italy(n = 20) and France(n = 10). Harvard University(n = 18) and Osped Civile(n = 11) were the most prolific institutions. Ten journals produced all of the top 100 papers with "Radiology" and "AJR" making up the majority. SN Goldberg and T Livraghi were the most prolific authors. Nearly two thirds of the papers(n = 61) were published after 1990.CONCLUSION: This analysis identifies many of the landmark interventional radiology papers and provides a fascinating insight into the changing discourse within the field. It also identifies topics, authors and institutions which have impacted greatly on the specialty.

Published the papers of HPLC-MS analysis—Chemical drug

Sun Guoxiang, Ding Nan, Song Yuqing, Wang Zhen, Song Liangwei. Determination of Guaiacol salicylate in Guacetisal by HPLCmethod and qualitative identification of relevant substances by HPLC-MS

Published the papers of GC-MS analysis—Chemical drug

Song Qi, Liu Hu; Gao Shu. Screening and quantitative analysis of volatile markers in the breath of patients with breast cancer Acta Universitatis Medicinalis Anhui, 2010, 45（01） ：76-79.

Published the papers of HPLC-MS analysis—Traditional Chinese medicine

Medicinal materials Ma Chenchen, Li Bailin, Ou Jie, Wang Jing, Zhao Junhong. Detection of N-acyl-homoserine lactones class signal molecules of quorum sensing secreted by bacteria using high performance liquid chromatography-mass spectrometry/ mass spectrometry

Visualization analysis of the study of fund-sponsored clinical nursing papers

Objective： The aims of this study were to understand the status quo of authors, collaborations between institutions, research hotspots, and research frontiers of fund-sponsored clinical nursing papers and to provide a reference for Chinese scholars to conduct clinical nursing studies in the future.Methods： The visualization software CiteSpace was used to analyze fund-sponsored clinical nursing papers published between 2012 and 2016 in 12 core journals of nursing.Results： In the clinical nursing field, there are many co叩erative author groups; however, the collaborations between institu加 not close and exist mainly within the same province or city. High-frequency keywords have revealed the four clinical nursing research hotspots of population, diseases, nursing intervention, and others. Chinese medicine nursing, prevention, treatment and nursing, and new technology-aided nursing of ventilator-associated pneumonia are the study frontiers of clinical nursing.Conclusions： Clinical nursing studies are rich in content and cover a wide range of areas, and their hotspots and frontiers are closely related to the requirements of clinical nursing. Collaborations across regions, provinces, and cities are not adequate; there is an urgent need to strengthen the cross-regional exchanges and collaborations to promote the further development of clinical nursing.

Analysis on cited times of papers published in Neural Regeneration Research

Introduction Publication Name=Neural Regeneration Research （NRR） Timespan=2008-2011. Databases=SCI-EXPANDED, SSCI, A＆HCI, CPCI-S, CPCI-SSH. Web of Science Categories： CELL BIOLOGY （938）, NEUROSCIENCE （938） Document Types： ARTICLE （922）, REVIEW （13）, EDITORIAL MATERIAL （2）, LETTER （1） Search time： 23/06/2011 A total of 938 articles published till the search time in NRR are searched, including 315 papers published in 2008, 185 in 2009, 321 in 2010, and 117 in 2011. Totally 111 papers have been cited and the total number of citations is 171. There are 76 self-citations, and 95 non-self citations, which are scattered in 85 journals. The citation situations are listed as follows.

Statistical Reasoning of High School Teachers in a Computer Environment of Dynamic Data Exploration

Results of a research about statistical reasoning that six high school teachers developed in a computer environment are presented in this article. A sequence of three activities with the support of software Fathom was presented to the teachers in a course to investigate about the reasoning that teachers develop about the data analysis, particularly about the distribution concept, that involves important concepts such as averages, variability and graphics representations. The design of the activities was planned so that the teachers analyzed quantitative variables separately first, and later made an analysis of a qualitative variable versus a quantitative variable with the objective of establishing comparisons between distributions and use concepts as averages, variability, shape and outliers. The instructions in each activity indicated to the teachers to use all the resources of the software that were necessary to make the complete analysis and respond to certain questions that pretended to capture the type of representations they used to answer. The results indicate that despite the abundance of representations provided by the software, teachers focu,; on the calculation of averages to describe and compare distributions, rather than on the important properties of data such as variability, ：shape and outliers. Many teachers were able to build interesting graphs reflecting important properties of the data, but cannot use them 1：o support data analysis. Hence, it is necessary to extend the teachers＇ understanding on data analysis so they can take advantage of the cognitive potential that computer tools to offer.

Design and Analysis of Computer Experiments Based on a Simulation Model of Air Traffic Flow Optimization in Panama

There is a growing in number of operations in aviation all over the world.This growing is increasing the necessity of innovation and new technology to respond the increment of the demand.As a respond of this demand,FAA(Federal Aviation Administration)is working with NextGen in the United States and the EUROCONTROL is implementing the Point Merge as solution in the air traffic flow management in Europe.However,the FAA alternative and EUROCONTROL alternative are not mutually exclusive since Panama,a small country in Latin America,is trying to use a combination between the vectoring approach and the Point Merge in the air traffic flow management.In addition,the AAC(Autoridad de Aereonautica Civil)and the Tocumen(Tocumen International Airport)are working in a continuous collaboration between FAA and Panama with the mutual challenge to improve the actual system.As a result,the main airline of Panama,the Compania Panamena de Aviacion(COPA Airlines),and the Autoridad de Aeronautica Civil(AAC)constructed a simulation model to select an air traffic flow alternative that can be able to change the actual situation.In other words,COPA Airlines and AAC are pursuing the minimization of the numbers of conflicts,the number of sequence actions,the flight time,the track flight distance and the fuel burn.Furthermore,this study aims to use the final draft of this previous analysis based on a simulation methodology to conduct a Design and Analysis of Computer Experiments with the final objective to increment the statistical significance of the actual model.

Analysis of papers published in Journal of Shanghai University(English Edition) from 1997 to 2004

Statistical analysis of various data for the papers published in Journal of Shanghai University （ English Edition） from 1997 to 2004 was made. The issues examined include numbers of published papers, disciplinary distribution, constituents of authors, propor- tions of collaborated papers contributed by multiple authors and papers based on cooperation between different institutions, publishing retardation, and citation of references. Suggestions are made for further improving the quality of the Journal.

Econometric Analysis of Research Papers on the Project of " Turning Vulnerable Farmland into Forests "

Taking the Database of Chinese Scientific and Technical Periodicals of Chongqing VIP Information Co. ,Ltd. as the statistical analysis source,we analyze the inter-annual trends,the authors institutions,journals distribution,disciplines distribution,paper subjects and authors' cooperation of research papers on the project of " turning vulnerable farmland into forests" in China during the period 1999 -2010,using the bibliometric method. The results show that during the period 1999 -2010,the research on the project of " turning vulnerable farmland into forests" always captured the attention of academia,and the number of research papers annually averaged more than 300; the relevant forestry functional departments at all levels,forestry-related research institutions and universities have paid close attention to the project of " turning vulnerable farmland into forests" in China; the group of core journals researched is concentrated in journals concerning forestry; in addition to forestry and agriculture,the research areas also touch upon economics,environment and other disciplines; the emphasis and hot spot of research are centered on applications, with few basic researches.

单篇文献的引文计量指标与Altmetrics的比较分析——以ESI的HotPapers为例

通过选取不同的数据源和分析方法探究Altmetrics文献计量方式对传统的引文计量方式的影响,以及这些计量指标如何评价单篇论文的影响力。结合ESI数据库热点文章的被引频次与Scopus平台提供的Altmetrics各项计量指标,尝试利用SPSS统计软件来分析传统的引文评价指标与Altmetrics各评价指标之间的相关性和差异性。通过研究分析发现:以引文为评价基础的ESI热点文章并不一定对应Altmetrics的高分值文献;进一步的研究从评价论文影响力的5个指标中简化为2个公因子——社交传媒因子和学术引用因子,可从不同群体对文献的不同传播利用方式来评价一篇论文的影响力;不同出版模式的文献在各评价指标上也有显著的差异。

Customized Optimization for Vehicle Acoustic Statistical Energy Analysis

Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NVH targets based on the specific needs of different project teams during the initial project stages.This approach innovatively integrates dynamic optimization,Radial Basis Function(RBF),and Fuzzy Design Variables Genetic Algorithm(FDVGA) into the optimization process of Statistical Energy Analysis(SEA),and also takes vehicle sheet metal into account in the optimization of sound packages.In the implementation process,a correlation model is established through Python scripts to link material density with acoustic parameters,weight,and cost.By combining Optimus and VaOne software,an optimization design workflow is constructed and the optimization design process is successfully executed.Under various constraints related to acoustic performance,weight and cost,a globally optimal design is achieved.This technology has been effectively applied in the field of Battery Electric Vehicle(BEV).

Feasibility Assay for Measure of Sternocleidomastoid and Platysma Electromyography Signal for Brain-Computer Interface Feedback

A feasibility assay is conducted for electromyography measure in sternocleidomastoid and platysma, tenting to use it on Brain-Computer Interface (BCI) feedback. It is proposed a case of study for four healthy subjects with an average of 35 years old, two females and two males. Methodology proposed includes signal acquisition and processing with feature extraction of RMS, Mean and Variance. The data are acquired with the AD board NI USB-6009, interfaced with LabView and processed in MatLab. An uncertainty analysis was made obtaining a system uncertainty of ±2.31 mV. ANOVA analysis was done, with a Randomized Complete Block Design (RCBD) experiment and interaction of factors and residues obtained with the software Minitab.

Quantitative analysis and prediction of the sound field convergence zone in mesoscale eddy environment based on data mining methods

The mesoscale eddy(ME)has a significant influence on the convergence effect in deep-sea acoustic propagation.This paper use statistical approaches to express quantitative relationships between the ME conditions and convergence zone(CZ)characteristics.Based on the Gaussian vortex model,we construct various sound propagation scenarios under different eddy conditions,and carry out sound propagation experiments to obtain simulation samples.With a large number of samples,we first adopt the unified regression to set up analytic relationships between eddy conditions and CZ parameters.The sensitivity of eddy indicators to the CZ is quantitatively analyzed.Then,we adopt the machine learning(ML)algorithms to establish prediction models of CZ parameters by exploring the nonlinear relationships between multiple ME indicators and CZ parameters.Through the research,we can express the influence of ME on the CZ quantitatively,and achieve the rapid prediction of CZ parameters in ocean eddies.The prediction accuracy(R)of the CZ distance(mean R:0.9815)is obviously better than that of the CZ width(mean R:0.8728).Among the three ML algorithms,Gradient Boosting Decision Tree has the best prediction ability(root mean square error(RMSE):0.136),followed by Random Forest(RMSE:0.441)and Extreme Learning Machine(RMSE:0.518).

Improved statistical fluctuation analysis for two decoy-states phase-matching quantum key distribution

Phase-matching quantum key distribution is a promising scheme for remote quantum key distribution,breaking through the traditional linear key-rate bound.In practical applications,finite data size can cause significant system performance to deteriorate when data size is below 1010.In this work,an improved statistical fluctuation analysis method is applied for the first time to two decoy-states phase-matching quantum key distribution,offering a new insight and potential solutions for improving the key generation rate and the maximum transmission distance while maintaining security.Moreover,we also compare the influence of the proposed improved statistical fluctuation analysis method on system performance with those of the Gaussian approximation and Chernoff-Hoeffding boundary methods on system performance.The simulation results show that the proposed scheme significantly improves the key generation rate and maximum transmission distance in comparison with the Chernoff-Hoeffding approach,and approach the results obtained when the Gaussian approximation is employed.At the same time,the proposed scheme retains the same security level as the Chernoff-Hoeffding method,and is even more secure than the Gaussian approximation.