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Baishideng's century goal:Editing and publishing high-quality articles

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World Journal of Gastroenterology 2009年第31期15卷 3841-3844页

作者： Lian-Sheng Ma Beijing Baishideng BioMed Scientific Co. Ltd. Room 903 Building D Ocean International Center No. 62 Dongsihuan Zhonglu Chaoyang District Beijing 100025 China

Baishideng's goal over the next few years is to edit and publish high-quality articles through the open-access model, to maximize the benefits to members of the editorial board, authors and readers, as well as achievi... 详细信息

关键词： Access to information Baishideng Maximization of the personal benefit Editorial policies Open access Periodicals publishing

An “impact” in publishing

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Zoological Research 2019年第4期40卷 239-240页

作者： Yong-Gang Yao Yun Zhang Yong-Tang Zheng Kunming Institute of Zoology Chinese Academy of Sciences

On 20 June 2019, Clarivate Analytics (2019) announced its Journal Citation Reports of 2018. From this, Zoological Research (ZR) received its first impact factor based on citations in 2018 for indexed papers published ... 详细信息

关键词： publishing Clarivate Analytics Zoological Research (ZR)

AN INTRODUCTION TO CHINA CARTOGRAPHIC publishing HOUSE

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地图 1989年第2期 89-92页

作者： Lu Yonsen

China Cartographic publishing House is the nation’s central-level and largest press specialized in compiling and publishing small-scale maps and atlases. Founded in 1954, the house has up to now a history of 35 years. It was moved from the eastern part of Beijing to the present site in southwest Beijing in 1960. With a total built area of over 20,000 square metres, the house consists of two working buildings and some

关键词： publishing specialized subsidiary moved eastern presently editorial southwest geology Atlas

publishing in Wiley Materials Science Journals

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Publishing in Wiley Materials Science Journals

The impact of reading on subjective well-being and implications for the publishing industry: evidence from China

中国化学会第30届学术年会-第三十分会：化学电源

作者： Jose Oliveira Wiley

A highly competitive research environment with increasingly limited research funding has created a"Publish or Perish"attitude among scientists who are judged on the quantity rather than quality of their research *** presentation provides a brief overview of current trends and challenges in scientific publishing,some ethical considerations,how publishers and authors interact and influence each other,and how the publishing arena is being *** will be presented on how to select an appropriate journal for your paper,what aspects of preparation and presentation to focus on from an editor’s and referee’s perspective,and hints for increasing the discoverability of your paper after publication.

关键词： Ethics Impact Factor Journals Peer Review publishing

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publishing Research 2022年第1期1卷 13-20页

作者： Dawei Zhang Shuo Wang School of Journalism Fudan UniversityShanghai 200433China

The publishing industry considers launching nationwide reading as its responsibility,as the national reading campaign has become a primary national strategy in ***,research rarely studies how reading impacts on an individuals subjective well-being and the comparison between reading *** study explored how diverse reading mediums affect subjective well-being,using data from the Chinese General Social Survey(CGSS2017).The study found that both paper reading and digital reading can improve individuals'subjective ***,loneliness and perceived fair play mediation roles between reading mediums and subjective *** results suggest that the publishing industry should further ramp up the publishing convergence,insist on putting social benefits in first place,and provide correct guidance to the public.

关键词： publishing reading nationwide

Empowering Educational publishing through Exploration and Practice of Digital Intelligence

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Frontiers of Digital Education 2024年第3期1卷 215-222页

作者： Yunsheng Feng China Education publishing & Media Group Ltd. Beijing 100073 China

The integration of digital intelligence can significantly empower and drive innovation in educational publishing. Therefore, it is important to explore comprehensive transformation strategies that address every stage and aspect of educational publishing and instructional services. China Education publishing & Media Group Ltd. (CEPMG) has been at the forefront of exploring the application of artificial intelligence (AI) within this field, yielding notable results. As a case study of the CEPMG’s efforts in promoting digital transformation and employing next-generation AI to empower educational publishing and media, this paper summarizes practical achievements, analyzes current situation, and outlines strategic directions to provide valuable insights for advancing digital transformation in the education sector.

关键词： education publishing digitalization transformation artificial intelligence (AI)

A Dynamic Social Network Data publishing Algorithm Based on Differential Privacy

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Journal of Information Security 2017年第4期8卷 328-338页

作者： Zhenpeng Liu Yawei Dong Xuan Zhao Bin Zhang School of Cyber Security and Computer Hebei University Baoding China Center for Information Technology Hebei University Baoding China School of Electronic Information Engineering Hebei University Baoding China

Social network contains the interaction between social members, which constitutes the structure and attribute of social network. The interactive relationship of social network contains a lot of personal privacy information. The direct release of social network data will cause the disclosure of privacy information. Aiming at the dynamic characteristics of social network data release, a new dynamic social network data publishing method based on differential privacy was proposed. This method was consistent with differential privacy. It is named DDPA (Dynamic Differential Privacy Algorithm). DDPA algorithm is an improvement of privacy protection algorithm in static social network data publishing. DDPA adds noise which follows Laplace to network edge weights. DDPA identifies the edge weight information that changes as the number of iterations increases, adding the privacy protection budget. Through experiments on real data sets, the results show that the DDPA algorithm satisfies the user’s privacy requirement in social network. DDPA reduces the execution time brought by iterations and reduces the information loss rate of graph structure.

关键词： Dynamic Social Network Data publishing Differential Privacy

The Art of publishing

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Journal of Modern Accounting and Auditing 2011年第2期7卷 125-133页

作者： Anthony H. Catanach Jr Bill N. Schwartz Department of Accounting Villanova University USA Wesley J. Howe School of TechnologyManagement Stevens Institute of TechnologyUSA

This paper＇s goal is to help accounting academics better navigate the editorial review process to increase the likelihood of a manuscript＇s publication. The authors draw on their years of experience as active scholars, reviewers, and editors of academic journals to provide practical insights on manuscript preparation, submission, and revision. Specific topics include （1） selecting an appropriate journal, （2） choosing an appropriate strategy to address a research question, （3） organizing a paper＇s structure including the abstract, motivation section, literature review, implications and conclusions, （4） writing style and （5） revising a manuscript.

关键词： publishing research journal submission

Attacks on Anonymization-Based Privacy-Preserving: A Survey for Data Mining and Data publishing

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Journal of Information Security 2013年第2期4卷 101-112页

作者： Abou-el-ela Abdou Hussien Nermin Hamza Hesham A. Hefny Department of Computer and Information Sciences Institute of Statistical Studies and Research Cairo University Giza Egypt Department of Computer Science Faculty of Science and Humanities Shaqra University Shaqra KSA

Data mining is the extraction of vast interesting patterns or knowledge from huge amount of data. The initial idea of privacy-preserving data mining PPDM was to extend traditional data mining techniques to work with the data modified to mask sensitive information. The key issues were how to modify the data and how to recover the data mining result from the modified data. Privacy-preserving data mining considers the problem of running data mining algorithms on confidential data that is not supposed to be revealed even to the party running the algorithm. In contrast, privacy-preserving data publishing (PPDP) may not necessarily be tied to a specific data mining task, and the data mining task may be unknown at the time of data publishing. PPDP studies how to transform raw data into a version that is immunized against privacy attacks but that still supports effective data mining tasks. Privacy-preserving for both data mining (PPDM) and data publishing (PPDP) has become increasingly popular because it allows sharing of privacy sensitive data for analysis purposes. One well studied approach is the k-anonymity model [1] which in turn led to other models such as confidence bounding, l-diversity, t-closeness, (α,k)-anonymity, etc. In particular, all known mechanisms try to minimize information loss and such an attempt provides a loophole for attacks. The aim of this paper is to present a survey for most of the common attacks techniques for anonymization-based PPDM & PPDP and explain their effects on Data Privacy.

关键词： Privacy k-Anonymity Data Mining Privacy-Preserving Data publishing Privacy-Preserving Data Mining