Purpose:To gain insights into the levels of training and support in research integrity and publishing ethics,levels of experience in publishing in scholarly journals and use of third-party manuscript preparation/editi...Purpose:To gain insights into the levels of training and support in research integrity and publishing ethics,levels of experience in publishing in scholarly journals and use of third-party manuscript preparation/editing services(which can include paper mills),and also to assess levels of awareness regarding different types of publishing ethics misconduct,we surveyed members of the Chinese Academy of Sciences(CAS)Journal Ranking WeChat channel.Design/methodology/approach:The online survey collected voluntary anonymous responses from members of the CAS Journal Ranking WeChat channel,one of largest channels of Chinese researchers at all career stages within STM and social sciences.The respondents of the survey fell into one of the following categories:Undergraduate student,Master’s student,PhD candidate,Researcher,Research manager,Researcher with research management responsibilities,and Librarian.The survey included 14 main questions on the topics of access to research integrity and publishing ethics training,experience levels in publishing in scholarly journals(including using third-party services),authorship experiences and behaviours,levels of concern about different types of research integrity issues,and perceptions on who the respondents think are primarily responsible for upholding research integrity standards and training in publishing ethics.After applying inclusion criteria,1,777 responses were included in the analysis.Findings:Amongst the 1,777 respondents included in the study results,only 55.4%had any access to training in research integrity and publishing ethics,and an even smaller proportion to formal training.Even amongst cohorts with access to training(where respondents in the Researcher cohort have the highest access),answers to the questions on authorship and third-party services reveal many areas of confusion regarding authorship criteria and responsibilities in publishing ethics.In particular,the responses also show limited knowledge in recognising unethical service offerings by third-party services(e.g.adding authors,citations and data/images).The survey responses also show that even though respondents in the undergraduate cohort are already actively publishing articles as well as using third-party manuscript preparation/editing services,they have limited access to training and have high levels of uncertainty about authorship responsibilities.Out of all key stakeholders,respondents perceive research institutions to be mainly responsible for upholding research integrity standards as well as providing access to training.Research limitations:As with all voluntary online surveys,the study design includes inherent limitations due to the self-reported nature of the responses.The respondents who participate are likely to have a particular interest and a higher level of awareness about the survey topic,and so the self-selecting nature of the participants can introduce personal biases,which can affect the overall results.This survey was sent to members of a WeChat channel focused on journal rankings,which also discusses research integrity issues,so the respondents may not provide a general representation of their career stage/subject discipline cohorts.The sample sizes were not comparable across all cohorts,so direct comparisons could not always be made.Instead,where appropriate,separate comparisons were made between Undergraduate students,Master’s students,PhD candidates and Researchers(29.26%-18.68%of respondents),or between Research managers,Researcher with research management responsibilities and Librarians(4.28%-2.53%of respondents).Practical implications:It is important to ensure that research integrity and publishing ethics training and education needs are being met for researchers at all levels,including undergraduates.Findings from the survey highlight the importance of establishing training and education programmes tailored towards addressing specific areas of common confusion or limited awareness,especially to reduce the risk of unintentional misconduct.The findings from this survey can be used to inform training and education partnerships and collaborations across key stakeholders,including research institutions and publishers,so that we can collectively improve the overall integrity of scholarly publishing.A table of recommendations and a hypothetical case have been included to illustrate how this can be achieved.Originality/value:To our knowledge,this is the first survey on this topic developed via a collaboration between the research integrity team at an international scholarly publisher and scientometrics researchers based in China.Sharing our perspectives and experience to develop the survey questions has helped to highlight the common areas of confusion regarding authorship responsibilities and ethical third-party service offerings within researchers in China,even amongst those who do have access to training.展开更多
To realize dynamic statistical publishing and protection of location-based data privacy,this paper proposes a differential privacy publishing algorithm based on adaptive sampling and grid clustering and adjustment.The...To realize dynamic statistical publishing and protection of location-based data privacy,this paper proposes a differential privacy publishing algorithm based on adaptive sampling and grid clustering and adjustment.The PID control strategy is combined with the difference in data variation to realize the dynamic adjustment of the data publishing intervals.The spatial-temporal correlations of the adjacent snapshots are utilized to design the grid clustering and adjustment algorithm,which facilitates saving the execution time of the publishing process.The budget distribution and budget absorption strategies are improved to form the sliding window-based differential privacy statistical publishing algorithm,which realizes continuous statistical publishing and privacy protection and improves the accuracy of published data.Experiments and analysis on large datasets of actual locations show that the privacy protection algorithm proposed in this paper is superior to other existing algorithms in terms of the accuracy of adaptive sampling time,the availability of published data,and the execution efficiency of data publishing methods.展开更多
On April 26,2025,the Second Tsinghua Medicine Journal Innovation Conference convened in Beijing.Centered on the theme“AI-driven Academic:Shaping the Next Frontier”the Conference brought together journal editors,medi...On April 26,2025,the Second Tsinghua Medicine Journal Innovation Conference convened in Beijing.Centered on the theme“AI-driven Academic:Shaping the Next Frontier”the Conference brought together journal editors,medical researchers,and science policy experts to examine how data and artificial intelligence(AI)are reshaping scholarly publishing.Two keynote speeches set the stage:the first analyzed the opportunities for hospital-based research arising from new journal policies,data infrastructure,and enabling technologies;the second introduced the latest advances in general AI and their implications for academic publishing security and integrity.展开更多
Digital publishing,as a vital medium of cultural communication in the digital age,is gradually becoming a significant force in promoting China’s fine traditional culture going global and facilitating the internationa...Digital publishing,as a vital medium of cultural communication in the digital age,is gradually becoming a significant force in promoting China’s fine traditional culture going global and facilitating the internationalization of Chinese industries.This paper takes Black Myth:Wukong as a case study to explore the role of digital game publishing in enhancing cultural empowerment,driving innovative communication,and promoting industrial collaboration.As an emerging force in the publishing industry,digital games have invigorated the momentum of Chinese culture going global through marketing and distribution,community operations,and content production,fostering the creative transformation and innovative development of cultural publishing.Through interactive narratives,diverse communication matrices,and industrial chain collaboration,digital game publishing not only facilitates deeper cultural exchange but also promotes the collaborative global development of related industries,including cultural tourism and technology.Digital game publishing has opened up new pathways for the global communication of Chinese culture and driven Chinese industries onto the international stage through technological innovation and cultural collaboration.This demonstrates its strategic value and development potential amid the wave of digitalization and globalization.展开更多
In Chinese culture,the dragon symbolizes faith,strength,courage,and an air of mystery.In 2024,guided by this auspicious emblem and supported by authors,readers,reviewers,and editorial board members,Zoological Research...In Chinese culture,the dragon symbolizes faith,strength,courage,and an air of mystery.In 2024,guided by this auspicious emblem and supported by authors,readers,reviewers,and editorial board members,Zoological Research(ZR) has successfully completed its annual publishing objectives,achieved significant progress,and secured continued national funding support through its selection for China's Science and Technology Journal Excellence Action Plan (phaseⅡ).As we enter the year of the snake,a symbol of wisdom,renewal,transformation,and growth,we take this opportunity to reflect on past achievements and express our sincere appreciation to all contributors.展开更多
This paper,grounded in the theory of business model innovation,examines the Chinese People’s Health Press(人民卫生出版社)as a case study to explore strategies for innovating business models within the context of prof...This paper,grounded in the theory of business model innovation,examines the Chinese People’s Health Press(人民卫生出版社)as a case study to explore strategies for innovating business models within the context of professional publishing convergence development.The research posits that effective business model innovation in this domain necessitates a comprehensive reform of its constituent elements.It advocates for a systematic approach to reconstructing value propositions,enhancing value creation and delivery processes,and optimizing value capture mechanisms to achieve desired outcomes.展开更多
Mobile crowdsensing(MCS)has become an effective paradigm to facilitate urban sensing.However,mobile users participating in sensing tasks will face the risk of location privacy leakage when uploading their actual sensi...Mobile crowdsensing(MCS)has become an effective paradigm to facilitate urban sensing.However,mobile users participating in sensing tasks will face the risk of location privacy leakage when uploading their actual sensing location data.In the application of mobile crowdsensing,most location privacy protection studies do not consider the temporal correlations between locations,so they are vulnerable to various inference attacks,and there is the problem of low data availability.In order to solve the above problems,this paper proposes a dynamic differential location privacy data publishing framework(DDLP)that protects privacy while publishing locations continuously.Firstly,the corresponding Markov transition matrices are established according to different times of historical trajectories,and then the protection location set is generated based on the current location at each timestamp.Moreover,using the exponential mechanism in differential privacy perturbs the true location by designing the utility function.Finally,experiments on the real-world trajectory dataset show that our method not only provides strong privacy guarantees,but also outperforms existing methods in terms of data availability and computational efficiency.展开更多
Privacy-preserving data publishing （PPDP） is one of the hot issues in the field of the network security. The existing PPDP technique cannot deal with generality attacks, which explicitly contain the sensitivity atta...Privacy-preserving data publishing （PPDP） is one of the hot issues in the field of the network security. The existing PPDP technique cannot deal with generality attacks, which explicitly contain the sensitivity attack and the similarity attack. This paper proposes a novel model, （w,γ, k）-anonymity, to avoid generality attacks on both cases of numeric and categorical attributes. We show that the optimal （w, γ, k）-anonymity problem is NP-hard and conduct the Top-down Local recoding （TDL） algorithm to implement the model. Our experiments validate the improvement of our model with real data.展开更多
Although it is convenient to exchange data by publishing view, but it may disclose sensitive information. The problem of how to eliminate information disclosure becomes a core problem in the view publishing process. I...Although it is convenient to exchange data by publishing view, but it may disclose sensitive information. The problem of how to eliminate information disclosure becomes a core problem in the view publishing process. In order to eliminate information disclosure, deciding view security algorithm and eliminating information disclosure algorithm are proposed, and the validity of the algorithms are proved by experiment. The experimental results showing, deciding view security algorithm can decide the safety of a set of views under prior knowledge, and eliminating information disclosure algorithm can eliminate disclosure efficiently.展开更多
Most of the data publishing methods have not considered sensitivity protection,and hence the adversary can disclose privacy by sensitivity attack.Faced with this problem,this paper presents a medical data publishing m...Most of the data publishing methods have not considered sensitivity protection,and hence the adversary can disclose privacy by sensitivity attack.Faced with this problem,this paper presents a medical data publishing method based on sensitivity determination.To protect the sensitivity,the sensitivity of disease information is determined by semantics.To seek the trade-off between information utility and privacy security,the new method focusses on the protection of sensitive values with high sensitivity and assigns the highly sensitive disease information to groups as evenly as possible.The experiments are conducted on two real-world datasets,of which the records include various attributes of patients.To measure sensitivity protection,the authors define a metric,which can evaluate the degree of sensitivity disclosure.Besides,additional information loss and discernability metrics are used to measure the availability of released tables.The experimental results indicate that the new method can provide better privacy than the traditional one while the information utility is guaranteed.Besides value protection,the proposed method can provide sensitivity protection and available releasing for medical data.展开更多
Liver Transplantation (in Chinese), revised edition, edited by Professor Shu-Sen Zheng and prefaced by Professor Guo-Wei Sang, has just been published. The revised edition is mainly based on the clinical practice of t...Liver Transplantation (in Chinese), revised edition, edited by Professor Shu-Sen Zheng and prefaced by Professor Guo-Wei Sang, has just been published. The revised edition is mainly based on the clinical practice of the Liver Transplant Center, the First Affiliated Hospital, Zhejiang University and the experience展开更多
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 ...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 during 2016 to 2017.展开更多
To meet the requirements of efficient management and web publishing for marine remote sensing data, a spatial database engine, named MRSSDE, is designed independently. The logical model, physical model, and optimizati...To meet the requirements of efficient management and web publishing for marine remote sensing data, a spatial database engine, named MRSSDE, is designed independently. The logical model, physical model, and optimization method of MRSSDE are discussed in detail. Compared to the ArcSDE, which is the leading product of Spatial Database Engine, the MRSSDE proved to be more effective.展开更多
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 inform...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.展开更多
It is imperative that all stakeholders within the research ecosystem take responsibility to improve research integrity and reliability of published research.Based on the unique experiences of a specialist publishing e...It is imperative that all stakeholders within the research ecosystem take responsibility to improve research integrity and reliability of published research.Based on the unique experiences of a specialist publishing ethics and research integrity team within a major publisher,this article provides insights into the observed trends of misconduct and how those have evolved over time,and addresses key actions needed to improve the interface between researchers,funders,institutions and publishers to collectively improve research integrity on a global scale.展开更多
Purpose:Recently,a vast number of scientific publications have been produced in cities in emerging countries.It has long been observed that the publication output of Beijing has exceeded that of any other city in the ...Purpose:Recently,a vast number of scientific publications have been produced in cities in emerging countries.It has long been observed that the publication output of Beijing has exceeded that of any other city in the world,including such leading centres of science as Boston,New York,London,Paris,and Tokyo.Researchers have suggested that,instead of focusing on cities'total publication output,the quality of the output in terms of the number of highly cited papers should be examined.However,in the period from 2014 to 2016,Beijing produced as many highly cited papers as Boston,London,or New York.In this paper,another method is proposed to measure cities'publishing performance by focusing on cities'publishing efficiency(i.e.,the ratio of highly cited articles to all articles produced in that city).Design/methodology/approach:First,554 cities are ranked based on their publishing efficiency,then some general factors influencing cities'publishing efficiency are revealed.The general factors examined in this paper are as follows:the linguistic environment of cities,cities'economic development level,the location of excellent organisations,cities'international collaboration patterns,and their scientific field profile.Furthermore,the paper examines the fundamental differences between the general factors influencing the publishing efficiency of the top 100 most efficient cities and the bottom 100 least efficient cities.Findings:Based on the research results,the conclusion can be drawn that a city's publishing efficiency will be high if meets the following general conditions:it is in a country in the Anglosphere-Core;it is in a high-income country;it is home to top-ranked universities and/or world-renowned research institutions;researchers affiliated with that city most intensely collaborate with researchers affiliated with cities in the United States,Germany,England,France,Canada,Australia,and Italy;and the most productive scientific disciplines of highly cited articles are published in high-impact multidisciplinary journals,disciplines in health sciences(especially general internal medicine and oncology),and disciplines in natural sciences(especially physics,astronomy,and astrophysics).Research limitations:It is always problematic to demarcate the boundaries of cities(e.g.,New York City vs.Greater New York),and regarding this issue there is no consensus among researchers.The Web of Science presents the name of cities in the addresses reported by theauthors of publications.In this paper cities correspond to the spatial units between the country/state level and the institution level as indicated in the Web of Science.Furthermore,it is necessary to highlight that the Web of Science is biased towards English-language journals and journals published in the field of biomedicine.These facts may influence the outcome of the research.Practical implications:Publishing efficiency,as an indicator,shows how successful a city is at the production of science.Naturally,cities have limited opportunities to compete for components of the science establishment(e.g.,universities,hospitals).However,cities can compete to attract innovation-oriented companies,high tech firms,and R&D facilities of multinational companies by for example establishing science parks.The positive effect of this process on the city's performance in science can be observed in the example of Beijing,which publishing efficiency has been increased rapidly.Originality/value:Previous scientometric studies have examined cities'publication output in terms of the number of papers,or the number of highly cited papers,which are largely size dependent indicators;however this paper attempts to present a more quality-based approach.展开更多
In recent years,mobile Internet technology and location based services have wide application.Application providers and users have accumulated huge amount of trajectory data.While publishing and analyzing user trajecto...In recent years,mobile Internet technology and location based services have wide application.Application providers and users have accumulated huge amount of trajectory data.While publishing and analyzing user trajectory data have brought great convenience for people,the disclosure risks of user privacy caused by the trajectory data publishing are also becoming more and more prominent.Traditional k-anonymous trajectory data publishing technologies cannot effectively protect user privacy against attackers with strong background knowledge.For privacy preserving trajectory data publishing,we propose a differential privacy based(k-Ψ)-anonymity method to defend against re-identification and probabilistic inference attack.The proposed method is divided into two phases:in the first phase,a dummy-based(k-Ψ)-anonymous trajectory data publishing algorithm is given,which improves(k-δ)-anonymity by considering changes of thresholdδon different road segments and constructing an adaptive threshold setΨthat takes into account road network information.In the second phase,Laplace noise regarding distance of anonymous locations under differential privacy is used for trajectory perturbation of the anonymous trajectory dataset outputted by the first phase.Experiments on real road network dataset are performed and the results show that the proposed method improves the trajectory indistinguishability and achieves good data utility in condition of preserving user privacy.展开更多
The research takes three fundamental Internet Academic Journals (IAJ), which are China National Knowledge Infrastructure (CNKI), Chongqing VIP Information Co., Ltd. (VIP) and Beijing Wanfang Data Co., Ltd. (WFD), as s...The research takes three fundamental Internet Academic Journals (IAJ), which are China National Knowledge Infrastructure (CNKI), Chongqing VIP Information Co., Ltd. (VIP) and Beijing Wanfang Data Co., Ltd. (WFD), as subjects to discuss digital publishing mechanism innovations for China’s science information communication system. After introducing main Internet environment, comparing journal characteristics, and explaining publishing & operation modes of the IAJs, the paper analyses important issues such as redundant contents, digitalization issues, illegal journals, standards construction, copyright and benefit distribution. By learning from research practices and open access, a new benefit distribution and copyright management mode based on the Third Party Agency (TPA) is proposed. Future IAJs operation modes are also discussed from the view of scientific research innovation and state of the art platform construction.展开更多
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 t...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.展开更多
Neutral Beam Injection （NBI） is one of the most effective means for plasma heating. Experimental Data Publishing Software （EDPS） is developed to publish experimental data to get the NBI system under remote monitor...Neutral Beam Injection （NBI） is one of the most effective means for plasma heating. Experimental Data Publishing Software （EDPS） is developed to publish experimental data to get the NBI system under remote monitoring. In this paper, the architecture and implementation of EDPS including the design of the communication module and web page display module are presented. EDPS is developed based on the Browser/Server （B/S） model, and works under the Linux operating system. Using the data source and communication mechanism of the NBI Control System （NBICS）, EDPS publishes experimental data on the Internet.展开更多
基金as a part of the Joint Research Integrity Lab between Taylor and Francis and National Science Library,Chinese Academy of Sciences,a project which is funded by both parties。
文摘Purpose:To gain insights into the levels of training and support in research integrity and publishing ethics,levels of experience in publishing in scholarly journals and use of third-party manuscript preparation/editing services(which can include paper mills),and also to assess levels of awareness regarding different types of publishing ethics misconduct,we surveyed members of the Chinese Academy of Sciences(CAS)Journal Ranking WeChat channel.Design/methodology/approach:The online survey collected voluntary anonymous responses from members of the CAS Journal Ranking WeChat channel,one of largest channels of Chinese researchers at all career stages within STM and social sciences.The respondents of the survey fell into one of the following categories:Undergraduate student,Master’s student,PhD candidate,Researcher,Research manager,Researcher with research management responsibilities,and Librarian.The survey included 14 main questions on the topics of access to research integrity and publishing ethics training,experience levels in publishing in scholarly journals(including using third-party services),authorship experiences and behaviours,levels of concern about different types of research integrity issues,and perceptions on who the respondents think are primarily responsible for upholding research integrity standards and training in publishing ethics.After applying inclusion criteria,1,777 responses were included in the analysis.Findings:Amongst the 1,777 respondents included in the study results,only 55.4%had any access to training in research integrity and publishing ethics,and an even smaller proportion to formal training.Even amongst cohorts with access to training(where respondents in the Researcher cohort have the highest access),answers to the questions on authorship and third-party services reveal many areas of confusion regarding authorship criteria and responsibilities in publishing ethics.In particular,the responses also show limited knowledge in recognising unethical service offerings by third-party services(e.g.adding authors,citations and data/images).The survey responses also show that even though respondents in the undergraduate cohort are already actively publishing articles as well as using third-party manuscript preparation/editing services,they have limited access to training and have high levels of uncertainty about authorship responsibilities.Out of all key stakeholders,respondents perceive research institutions to be mainly responsible for upholding research integrity standards as well as providing access to training.Research limitations:As with all voluntary online surveys,the study design includes inherent limitations due to the self-reported nature of the responses.The respondents who participate are likely to have a particular interest and a higher level of awareness about the survey topic,and so the self-selecting nature of the participants can introduce personal biases,which can affect the overall results.This survey was sent to members of a WeChat channel focused on journal rankings,which also discusses research integrity issues,so the respondents may not provide a general representation of their career stage/subject discipline cohorts.The sample sizes were not comparable across all cohorts,so direct comparisons could not always be made.Instead,where appropriate,separate comparisons were made between Undergraduate students,Master’s students,PhD candidates and Researchers(29.26%-18.68%of respondents),or between Research managers,Researcher with research management responsibilities and Librarians(4.28%-2.53%of respondents).Practical implications:It is important to ensure that research integrity and publishing ethics training and education needs are being met for researchers at all levels,including undergraduates.Findings from the survey highlight the importance of establishing training and education programmes tailored towards addressing specific areas of common confusion or limited awareness,especially to reduce the risk of unintentional misconduct.The findings from this survey can be used to inform training and education partnerships and collaborations across key stakeholders,including research institutions and publishers,so that we can collectively improve the overall integrity of scholarly publishing.A table of recommendations and a hypothetical case have been included to illustrate how this can be achieved.Originality/value:To our knowledge,this is the first survey on this topic developed via a collaboration between the research integrity team at an international scholarly publisher and scientometrics researchers based in China.Sharing our perspectives and experience to develop the survey questions has helped to highlight the common areas of confusion regarding authorship responsibilities and ethical third-party service offerings within researchers in China,even amongst those who do have access to training.
基金supported by National Nature Science Foundation of China(No.62361036)Nature Science Foundation of Gansu Province(No.22JR5RA279).
文摘To realize dynamic statistical publishing and protection of location-based data privacy,this paper proposes a differential privacy publishing algorithm based on adaptive sampling and grid clustering and adjustment.The PID control strategy is combined with the difference in data variation to realize the dynamic adjustment of the data publishing intervals.The spatial-temporal correlations of the adjacent snapshots are utilized to design the grid clustering and adjustment algorithm,which facilitates saving the execution time of the publishing process.The budget distribution and budget absorption strategies are improved to form the sliding window-based differential privacy statistical publishing algorithm,which realizes continuous statistical publishing and privacy protection and improves the accuracy of published data.Experiments and analysis on large datasets of actual locations show that the privacy protection algorithm proposed in this paper is superior to other existing algorithms in terms of the accuracy of adaptive sampling time,the availability of published data,and the execution efficiency of data publishing methods.
文摘On April 26,2025,the Second Tsinghua Medicine Journal Innovation Conference convened in Beijing.Centered on the theme“AI-driven Academic:Shaping the Next Frontier”the Conference brought together journal editors,medical researchers,and science policy experts to examine how data and artificial intelligence(AI)are reshaping scholarly publishing.Two keynote speeches set the stage:the first analyzed the opportunities for hospital-based research arising from new journal policies,data infrastructure,and enabling technologies;the second introduced the latest advances in general AI and their implications for academic publishing security and integrity.
文摘Digital publishing,as a vital medium of cultural communication in the digital age,is gradually becoming a significant force in promoting China’s fine traditional culture going global and facilitating the internationalization of Chinese industries.This paper takes Black Myth:Wukong as a case study to explore the role of digital game publishing in enhancing cultural empowerment,driving innovative communication,and promoting industrial collaboration.As an emerging force in the publishing industry,digital games have invigorated the momentum of Chinese culture going global through marketing and distribution,community operations,and content production,fostering the creative transformation and innovative development of cultural publishing.Through interactive narratives,diverse communication matrices,and industrial chain collaboration,digital game publishing not only facilitates deeper cultural exchange but also promotes the collaborative global development of related industries,including cultural tourism and technology.Digital game publishing has opened up new pathways for the global communication of Chinese culture and driven Chinese industries onto the international stage through technological innovation and cultural collaboration.This demonstrates its strategic value and development potential amid the wave of digitalization and globalization.
文摘In Chinese culture,the dragon symbolizes faith,strength,courage,and an air of mystery.In 2024,guided by this auspicious emblem and supported by authors,readers,reviewers,and editorial board members,Zoological Research(ZR) has successfully completed its annual publishing objectives,achieved significant progress,and secured continued national funding support through its selection for China's Science and Technology Journal Excellence Action Plan (phaseⅡ).As we enter the year of the snake,a symbol of wisdom,renewal,transformation,and growth,we take this opportunity to reflect on past achievements and express our sincere appreciation to all contributors.
文摘This paper,grounded in the theory of business model innovation,examines the Chinese People’s Health Press(人民卫生出版社)as a case study to explore strategies for innovating business models within the context of professional publishing convergence development.The research posits that effective business model innovation in this domain necessitates a comprehensive reform of its constituent elements.It advocates for a systematic approach to reconstructing value propositions,enhancing value creation and delivery processes,and optimizing value capture mechanisms to achieve desired outcomes.
基金supported by the Inner Mongolia Natural Science Foundation(Grant No.2023MS06022)the University Youth Science and Technology Talent Development Project(Innovation Group Development Plan)of Inner Mongolia A.R.of China(Grant No.NMGIRT2318)+1 种基金the“Inner Mongolia Science and Technology Achievement Transfer and Transformation Demonstration Zone,University Collaborative Innovation Base,and University Entrepreneurship Training Base”Construction Project(Supercomputing Power Project)(Grant No.21300-231510)the Engineering Research Center of Ecological Big Data,Ministry of Education.
文摘Mobile crowdsensing(MCS)has become an effective paradigm to facilitate urban sensing.However,mobile users participating in sensing tasks will face the risk of location privacy leakage when uploading their actual sensing location data.In the application of mobile crowdsensing,most location privacy protection studies do not consider the temporal correlations between locations,so they are vulnerable to various inference attacks,and there is the problem of low data availability.In order to solve the above problems,this paper proposes a dynamic differential location privacy data publishing framework(DDLP)that protects privacy while publishing locations continuously.Firstly,the corresponding Markov transition matrices are established according to different times of historical trajectories,and then the protection location set is generated based on the current location at each timestamp.Moreover,using the exponential mechanism in differential privacy perturbs the true location by designing the utility function.Finally,experiments on the real-world trajectory dataset show that our method not only provides strong privacy guarantees,but also outperforms existing methods in terms of data availability and computational efficiency.
基金supported in part by Research Fund for the Doctoral Program of Higher Education of China(No.20120009110007)Program for Innovative Research Team in University of Ministry of Education of China (No.IRT201206)+3 种基金Program for New Century Excellent Talents in University(NCET-110565)the Fundamental Research Funds for the Central Universities(No.2012JBZ010)the Open Project Program of Beijing Key Laboratory of Trusted Computing at Beijing University of TechnologyBeijing Higher Education Young Elite Teacher Project(No. YETP0542)
文摘Privacy-preserving data publishing （PPDP） is one of the hot issues in the field of the network security. The existing PPDP technique cannot deal with generality attacks, which explicitly contain the sensitivity attack and the similarity attack. This paper proposes a novel model, （w,γ, k）-anonymity, to avoid generality attacks on both cases of numeric and categorical attributes. We show that the optimal （w, γ, k）-anonymity problem is NP-hard and conduct the Top-down Local recoding （TDL） algorithm to implement the model. Our experiments validate the improvement of our model with real data.
基金Supported bythe Key Project of Ministry of Educationof China(205014)
文摘Although it is convenient to exchange data by publishing view, but it may disclose sensitive information. The problem of how to eliminate information disclosure becomes a core problem in the view publishing process. In order to eliminate information disclosure, deciding view security algorithm and eliminating information disclosure algorithm are proposed, and the validity of the algorithms are proved by experiment. The experimental results showing, deciding view security algorithm can decide the safety of a set of views under prior knowledge, and eliminating information disclosure algorithm can eliminate disclosure efficiently.
基金supported by the National Natural Science Foundation of China(No.62062016)Doctoral research start‐up fund of Guangxi Normal University(RZ1900006676)Guangxi project of improving Middleaged/Young teachers'ability(No.2020KY020323)。
文摘Most of the data publishing methods have not considered sensitivity protection,and hence the adversary can disclose privacy by sensitivity attack.Faced with this problem,this paper presents a medical data publishing method based on sensitivity determination.To protect the sensitivity,the sensitivity of disease information is determined by semantics.To seek the trade-off between information utility and privacy security,the new method focusses on the protection of sensitive values with high sensitivity and assigns the highly sensitive disease information to groups as evenly as possible.The experiments are conducted on two real-world datasets,of which the records include various attributes of patients.To measure sensitivity protection,the authors define a metric,which can evaluate the degree of sensitivity disclosure.Besides,additional information loss and discernability metrics are used to measure the availability of released tables.The experimental results indicate that the new method can provide better privacy than the traditional one while the information utility is guaranteed.Besides value protection,the proposed method can provide sensitivity protection and available releasing for medical data.
文摘Liver Transplantation (in Chinese), revised edition, edited by Professor Shu-Sen Zheng and prefaced by Professor Guo-Wei Sang, has just been published. The revised edition is mainly based on the clinical practice of the Liver Transplant Center, the First Affiliated Hospital, Zhejiang University and the experience
文摘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 during 2016 to 2017.
基金Supported by the National 863 High-Tech Program of China （No.2007AA12Z237）, the Natural Science Foundation of China （No. 40571123）.
文摘To meet the requirements of efficient management and web publishing for marine remote sensing data, a spatial database engine, named MRSSDE, is designed independently. The logical model, physical model, and optimization method of MRSSDE are discussed in detail. Compared to the ArcSDE, which is the leading product of Spatial Database Engine, the MRSSDE proved to be more effective.
文摘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.
文摘It is imperative that all stakeholders within the research ecosystem take responsibility to improve research integrity and reliability of published research.Based on the unique experiences of a specialist publishing ethics and research integrity team within a major publisher,this article provides insights into the observed trends of misconduct and how those have evolved over time,and addresses key actions needed to improve the interface between researchers,funders,institutions and publishers to collectively improve research integrity on a global scale.
基金supported by the EFOP-3.6.1-16-2016-00022 projectproject is co-financed by the European Union and the European Social Fund
文摘Purpose:Recently,a vast number of scientific publications have been produced in cities in emerging countries.It has long been observed that the publication output of Beijing has exceeded that of any other city in the world,including such leading centres of science as Boston,New York,London,Paris,and Tokyo.Researchers have suggested that,instead of focusing on cities'total publication output,the quality of the output in terms of the number of highly cited papers should be examined.However,in the period from 2014 to 2016,Beijing produced as many highly cited papers as Boston,London,or New York.In this paper,another method is proposed to measure cities'publishing performance by focusing on cities'publishing efficiency(i.e.,the ratio of highly cited articles to all articles produced in that city).Design/methodology/approach:First,554 cities are ranked based on their publishing efficiency,then some general factors influencing cities'publishing efficiency are revealed.The general factors examined in this paper are as follows:the linguistic environment of cities,cities'economic development level,the location of excellent organisations,cities'international collaboration patterns,and their scientific field profile.Furthermore,the paper examines the fundamental differences between the general factors influencing the publishing efficiency of the top 100 most efficient cities and the bottom 100 least efficient cities.Findings:Based on the research results,the conclusion can be drawn that a city's publishing efficiency will be high if meets the following general conditions:it is in a country in the Anglosphere-Core;it is in a high-income country;it is home to top-ranked universities and/or world-renowned research institutions;researchers affiliated with that city most intensely collaborate with researchers affiliated with cities in the United States,Germany,England,France,Canada,Australia,and Italy;and the most productive scientific disciplines of highly cited articles are published in high-impact multidisciplinary journals,disciplines in health sciences(especially general internal medicine and oncology),and disciplines in natural sciences(especially physics,astronomy,and astrophysics).Research limitations:It is always problematic to demarcate the boundaries of cities(e.g.,New York City vs.Greater New York),and regarding this issue there is no consensus among researchers.The Web of Science presents the name of cities in the addresses reported by theauthors of publications.In this paper cities correspond to the spatial units between the country/state level and the institution level as indicated in the Web of Science.Furthermore,it is necessary to highlight that the Web of Science is biased towards English-language journals and journals published in the field of biomedicine.These facts may influence the outcome of the research.Practical implications:Publishing efficiency,as an indicator,shows how successful a city is at the production of science.Naturally,cities have limited opportunities to compete for components of the science establishment(e.g.,universities,hospitals).However,cities can compete to attract innovation-oriented companies,high tech firms,and R&D facilities of multinational companies by for example establishing science parks.The positive effect of this process on the city's performance in science can be observed in the example of Beijing,which publishing efficiency has been increased rapidly.Originality/value:Previous scientometric studies have examined cities'publication output in terms of the number of papers,or the number of highly cited papers,which are largely size dependent indicators;however this paper attempts to present a more quality-based approach.
基金supported by the Fundamental Research Funds for the Central Universities(No.GK201906009)CERNET Innovation Project(No.NGII20190704)Science and Technology Program of Xi’an City(No.2019216914GXRC005CG006-GXYD5.2).
文摘In recent years,mobile Internet technology and location based services have wide application.Application providers and users have accumulated huge amount of trajectory data.While publishing and analyzing user trajectory data have brought great convenience for people,the disclosure risks of user privacy caused by the trajectory data publishing are also becoming more and more prominent.Traditional k-anonymous trajectory data publishing technologies cannot effectively protect user privacy against attackers with strong background knowledge.For privacy preserving trajectory data publishing,we propose a differential privacy based(k-Ψ)-anonymity method to defend against re-identification and probabilistic inference attack.The proposed method is divided into two phases:in the first phase,a dummy-based(k-Ψ)-anonymous trajectory data publishing algorithm is given,which improves(k-δ)-anonymity by considering changes of thresholdδon different road segments and constructing an adaptive threshold setΨthat takes into account road network information.In the second phase,Laplace noise regarding distance of anonymous locations under differential privacy is used for trajectory perturbation of the anonymous trajectory dataset outputted by the first phase.Experiments on real road network dataset are performed and the results show that the proposed method improves the trajectory indistinguishability and achieves good data utility in condition of preserving user privacy.
文摘The research takes three fundamental Internet Academic Journals (IAJ), which are China National Knowledge Infrastructure (CNKI), Chongqing VIP Information Co., Ltd. (VIP) and Beijing Wanfang Data Co., Ltd. (WFD), as subjects to discuss digital publishing mechanism innovations for China’s science information communication system. After introducing main Internet environment, comparing journal characteristics, and explaining publishing & operation modes of the IAJs, the paper analyses important issues such as redundant contents, digitalization issues, illegal journals, standards construction, copyright and benefit distribution. By learning from research practices and open access, a new benefit distribution and copyright management mode based on the Third Party Agency (TPA) is proposed. Future IAJs operation modes are also discussed from the view of scientific research innovation and state of the art platform construction.
文摘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.
基金supported by the National Magnetic Confinement Fusion Science Program of China(No.2103GB101000)
文摘Neutral Beam Injection （NBI） is one of the most effective means for plasma heating. Experimental Data Publishing Software （EDPS） is developed to publish experimental data to get the NBI system under remote monitoring. In this paper, the architecture and implementation of EDPS including the design of the communication module and web page display module are presented. EDPS is developed based on the Browser/Server （B/S） model, and works under the Linux operating system. Using the data source and communication mechanism of the NBI Control System （NBICS）, EDPS publishes experimental data on the Internet.
