China’s Change through Future Leaders’Eyes

Together for a Shared Future Compiled by Global Young Leaders Dialogue Price:RMB 118 Paperback,250 pages Published by Foreign Languages Press Together for a Shared Future is co-authored by 35 young people from 26 countries who participated in the project China Tour of the Global Young Leaders Dialogue(GYLD),an institutional platform for idea-sharing among young people from different countries.

How Group Leaders Build Stable Community Buying Groups:A Perspective Based on the Differential Mode of Association

Since 2016,community group buying has grown significantly in China,largely driven by its efficient logistics,supply chains,low prices,and convenience.This model has been further popularized during the COVID-19 pandemic due to its effectiveness in meeting daily needs while minimizing human-to-human contact.A key component of this business model is the“group leaders”-influential individuals within a community responsible for managing group buying activities,which include order collection,supplier liaison,and goods distribution.Their primary task is to form and sustain a reliable community group buying consortium,a task that demands excellent organizational and interpersonal skills.This paper examines this phenomenon using the lens of the differential mode of association,a theoretical model explaining interpersonal relationships in traditional Chinese society.The research indicates that group leaders,through regular interaction with consumers,are able to alter their social network position,increase their influence,understand consumer needs,provide satisfying services,and enhance trust,thereby transforming consumers into loyal group buying participants.This transformation not only brings stability to group buying activities but also reinforces the community influence of group leaders,thus fostering the growth of community group buying.

The Critical Role of Middle Leaders in Schools:Cultivating a Culture of Trust and Supporting Educational Reform

This research delves into the often-underappreciated role of middle leaders in educational organizations,highlighting their significance as the linchpins between senior leadership and classroom teachers.Utilizing qualitative research methods,the study investigates the multifaceted responsibilities,challenges,and contributions of middle leaders in schools.Findings indicate that middle leaders foster a culture of trust within the institution by providing mentorship and guidance to new teachers.They undertake substantial tasks,such as team coordination,grade direction,and student supervision,in addition to their teaching duties.Despite their pivotal role,middle leaders often face mounting pressures and heavy workloads.This research underscores the need to recognize and support middle leaders in educational settings,acknowledging their vital role in fostering cohesion and facilitating the implementation of educational reforms.

Beyond authorship: Analyzing contributions in PLOS ONE and the challenges of appropriate attribution

Purpose:This study aims to evaluate the accuracy of authorship attributions in scientific publications,focusing on the fairness and precision of individual contributions within academic works.Design/methodology/approach:The study analyzes 81,823 publications from the journal PLOS ONE,covering the period from January 2018 to June 2023.It examines the authorship attributions within these publications to try and determine the prevalence of inappropriate authorship.It also investigates the demographic and professional profiles of affected authors,exploring trends and potential factors contributing to inaccuracies in authorship.Findings:Surprisingly,9.14%of articles feature at least one author with inappropriate authorship,affecting over 14,000 individuals(2.56%of the sample).Inappropriate authorship is more concentrated in Asia,Africa,and specific European countries like Italy.Established researchers with significant publication records and those affiliated with companies or nonprofits show higher instances of potential monetary authorship.Research limitations:Our findings are based on contributions as declared by the authors,which implies a degree of trust in their transparency.However,this reliance on self-reporting may introduce biases or inaccuracies into the dataset.Further research could employ additional verification methods to enhance the reliability of the findings.Practical implications:These findings have significant implications for journal publishers,Beyond authorship:Analyzing contributions in PLOS ONE and Maddi,A.,&the challenges of appropriate attribution highlighting the necessity for robust control mechanisms to ensure the integrity of authorship attributions.Moreover,researchers must exercise discernment in determining when to acknowledge a contributor and when to include them in the author list.Addressing these issues is crucial for maintaining the credibility and fairness of academic publications.Originality/value:This study contributes to an understanding of critical issues within academic authorship,shedding light on the prevalence and impact of inappropriate authorship attributions.By calling for a nuanced approach to ensure accurate credit is given where it is due,the study underscores the importance of upholding ethical standards in scholarly publishing.

Image Recognition Model of Fraudulent Websites Based on Image Leader Decision and Inception-V3 Transfer Learning

The fraudulent website image is a vital information carrier for telecom fraud.The efficient and precise recognition of fraudulent website images is critical to combating and dealing with fraudulent websites.Current research on image recognition of fraudulent websites is mainly carried out at the level of image feature extraction and similarity study,which have such disadvantages as difficulty in obtaining image data,insufficient image analysis,and single identification types.This study develops a model based on the entropy method for image leader decision and Inception-v3 transfer learning to address these disadvantages.The data processing part of the model uses a breadth search crawler to capture the image data.Then,the information in the images is evaluated with the entropy method,image weights are assigned,and the image leader is selected.In model training and prediction,the transfer learning of the Inception-v3 model is introduced into image recognition of fraudulent websites.Using selected image leaders to train the model,multiple types of fraudulent websites are identified with high accuracy.The experiment proves that this model has a superior accuracy in recognizing images on fraudulent websites compared to other current models.

Guide for Authors

Introduction Types ofpaper Contributions falling into the following categories will be considered for publication:Reviews,Technical papers,Theoretical papers,and Editorial.Please ensure that you select the appropriate article type from the list of options when making your submission.Authors contributing to special issues should ensure that they select the special issue article type from this list.

Information for Authors

Chinese Phaysics Letters(CPL)is a peer-reviewed,inter-national and multidisciplinary journal sponsored by the Chi-nese Phaysical Society(CPS)and Institute of Physics,CAS,and hosted online by IOP Publishing Ltd.Launched in 1984 asthe flagship journal of CPS,CPL has become one of the mostprestigious periodicals published in China,and been among thegood choices for worldwide physicists to disseminate their mostimportant breakthroughs.

Information for Authors

General Journal of Beijing Institute of Technology(JBIT)is a periodical publication on science and technology published by Beijing Institute of Technology under the sponsorship of the Ministry of Industry and Information Technology of the People's Republic of China.JBIT was inaugurated in 1992.

Information for Authors

General Journal of Bejing Institute of Technology(JBIT)is a periodical publication on science andtechnology published by Beijing Institute of Technology under the sponsorship of the Ministry ofIndustry and Information Technology of the People's Republic of China.JBIT was inaugurated in 1992.

Information for Authors

General Journal of Bejing Institute of Technology(JBIT)is a periodical publication on science andtechnology published by Beijing Institute of Technology under the sponsorship of the Ministry ofIndustry and Information Technology of the People's Republic of China.JBIT was inaugurated in 1992.

Instructions for Authors

The Chinese Journal of Multiple Organ Diseases in the Elderly(Zhonghua Laonian Duoqiguan Jibing Zazhi)(ISSN 1671-5403)is launched in 2002 and published monthly by Chinese PLA General Hospital in Beijing,China.

High-speed Railway Guide for Authors

Types of paper Contributions falling into the following categories will be considered for publication:Original research papers,reviews,etc.Please ensure that you select the appropriate article type from the list of options when making your submission.Authors contributing to special issues should ensure that they select the special issue article type from this list.

Predicting Age and Gender in Author Profiling: A Multi-Feature Exploration

Author Profiling (AP) is a subsection of digital forensics that focuses on the detection of the author’s personalinformation, such as age, gender, occupation, and education, based on various linguistic features, e.g., stylistic,semantic, and syntactic. The importance of AP lies in various fields, including forensics, security, medicine, andmarketing. In previous studies, many works have been done using different languages, e.g., English, Arabic, French,etc.However, the research on RomanUrdu is not up to the mark.Hence, this study focuses on detecting the author’sage and gender based on Roman Urdu text messages. The dataset used in this study is Fire’18-MaponSMS. Thisstudy proposed an ensemble model based on AdaBoostM1 and Random Forest (AMBRF) for AP using multiplelinguistic features that are stylistic, character-based, word-based, and sentence-based. The proposed model iscontrasted with several of the well-known models fromthe literature, including J48-Decision Tree (J48),Na飗e Bays(NB), K Nearest Neighbor (KNN), and Composite Hypercube on Random Projection (CHIRP), NB-Updatable,RF, and AdaboostM1. The overall outcome shows the better performance of the proposed AdaboostM1 withRandom Forest (ABMRF) with an accuracy of 54.2857% for age prediction and 71.1429% for gender predictioncalculated on stylistic features. Regarding word-based features, age and gender were considered in 50.5714% and60%, respectively. On the other hand, KNN and CHIRP show the weakest performance using all the linguisticfeatures for age and gender prediction.

ABMRF:An Ensemble Model for Author Profiling Based on Stylistic Features Using Roman Urdu

This study explores the area of Author Profiling(AP)and its importance in several industries,including forensics,security,marketing,and education.A key component of AP is the extraction of useful information from text,with an emphasis on the writers’ages and genders.To improve the accuracy of AP tasks,the study develops an ensemble model dubbed ABMRF that combines AdaBoostM1(ABM1)and Random Forest(RF).The work uses an extensive technique that involves textmessage dataset pretreatment,model training,and assessment.To evaluate the effectiveness of several machine learning(ML)algorithms in classifying age and gender,including Composite Hypercube on Random Projection(CHIRP),Decision Trees(J48),Na飗e Bayes(NB),K Nearest Neighbor,AdaboostM1,NB-Updatable,RF,andABMRF,they are compared.The findings demonstrate thatABMRFregularly beats the competition,with a gender classification accuracy of 71.14%and an age classification accuracy of 54.29%,respectively.Additional metrics like precision,recall,F-measure,Matthews Correlation Coefficient(MCC),and accuracy support ABMRF’s outstanding performance in age and gender profiling tasks.This study demonstrates the usefulness of ABMRF as an ensemble model for author profiling and highlights its possible uses in marketing,law enforcement,and education.The results emphasize the effectiveness of ensemble approaches in enhancing author profiling task accuracy,particularly when it comes to age and gender identification.

Information for Authors

General Rules Journal of Polyphenols publishes research articles,reviews and short communications in English,on the fields of the science and technology of plant polyphenols.Cover Letters The journal requires a cover letter be included in submissions.A cover letter should explain why this topic is important,why these results are significant and what the novelty of this work is.

Information for Authors

General Rules Journal of Polyphenols publishes research articles,reviews and short communications in English,on the fields of the science and technology of plant polyphenols.Cover Letters The journal requires a cover letter be included in submissions.A cover letter should explain why this topic is important,why these results are significant and what the novelty of this work is.

Information for Authors

General Rules Journal of Polyphenols publishes research articles,reviews and short communications in English,on the fields of the science and technology of plant polyphenols.Cover Letters The journal requires a cover letter be included in submissions.A cover letter should explain why this topic is important,why these results are significant and what the novelty of this work is.

Research on Construction of Pharmacovigilance System for Marketing Authorization Holders in China

Objective To provide suggestions for helping marketing authorization holders(MAHs)to develop an effective and compliant pharmacovigilance system.Methods The construction strategies of pharmacovigilance system of the multinational pharmaceutical companies were analyzed based on the requirements of regulations and laws.Results and Conclusion There are some gaps between local and multinational pharmaceutical companies in the construction of pharmacovigilance system.We can learn from the experience of multinational pharmaceutical companies to improve the pharmacovigilance system,which includes building a sound pharmacovigilance organizational structure,establishing a series of operational system files and cultivating professional talents.MAHs of China should improve the structure of enterprise pharmacovigilance system.Besides,members of Drug Safety Committee should be department managers with higher position so that they can fulfil the responsibilities of risk assessment.If MAHs possess a large variety and quantity of products,a Drug Safety Committee should be established to ensure the timely discovery of risks.In addition,MAHs should pay attention to the implementation of related regulations and laws on pharmacovigilance and establish compliant,effective and operatable files combing with the actual operation of pharmacovigilance system.Finally,MAHs should introduce and train pharmacovigilance talents,and hire pharmacovigilance experts as consultants to solve the problem of talent shortage.

缺乏位置信息的视觉移动机器人leader-following编队控制

针对视觉移动机器人编队在缺乏位置信息情况下的控制问题,提出一种基于视觉的leader-following编队反馈控制方法。该方法利用leader标志物特征点在follower摄像机像平面上的坐标信息设计了观测器,对leader与follower间的相对位置进行估计,基于相对位置估计量与它们速度的关系,设计出leader-following编队反馈控制器,通过Lyapunov理论证明了闭环系统的稳定性。仿真结果表明,该控制方法能有效解决缺乏位置信息情况下视觉移动机器人编队的控制问题。

振动信号小波leaders多重分形特征提取及性能分析

机械振动信号一般具有非线性、非平稳特性,多重分形特征是表示振动信号几何结构特征的一种重要手段。传统的多重分形特征计算方法计算量大,限制了多重分形特征的应用。小波leaders多重分形分析方法具有坚实的数学基础,且计算简便。针对齿轮正常状态和点蚀故障状态,提出基于小波leaders的多重分形振动信号特征提取及表示方法,提出基于bootstrap技术的最优块长求解算法,并建立振动信号小波leaders多重分形特征的统计性能分析方法。研究结果表明,小波leaders多重分形特征能够很好反映振动信号的几何结构特征,基于块bootstrap方法能有效分析多重分形特征统计性能,为机械设备状态监控和故障诊断提供了一种有效的选择。