A privacy-preserving method for publishing data with multiple sensitive attributes

The overgeneralisation may happen because most studies on data publishing for multiple sensitive attributes(SAs)have not considered the personalised privacy requirement.Furthermore,sensitive information disclosure may also be caused by these personalised requirements.To address the matter,this article develops a personalised data publishing method for multiple SAs.According to the requirements of individuals,the new method partitions SAs values into two categories:private values and public values,and breaks the association between them for privacy guarantees.For the private values,this paper takes the process of anonymisation,while the public values are released without this process.An algorithm is designed to achieve the privacy mode,where the selectivity is determined by the sensitive value frequency and undesirable objects.The experimental results show that the proposed method can provide more information utility when compared with previous methods.The theoretic analyses and experiments also indicate that the privacy can be guaranteed even though the public values are known to an adversary.The overgeneralisation and privacy breach caused by the personalised requirement can be avoided by the new method.

Research on the Audio Publishing of Classical Books Based on the Theory of Business Model Canvas: Taking Romance of the Three Kingdoms in Digital Audio Platforms as an Example

Visual media have dominated sensory communications for decades,and the resulting“visual hegemony”leads to the call for the“auditory return”in order to achieve a holistic balance in cultural acceptance.Romance of the Three Kingdoms,a classic literary work in China,has received significant attention and promotion from leading audio platforms.However,the commercialization of digital audio publishing faces unprecedented challenges due to the mismatch between the dissemination of long-form content on digital audio platforms and the current trend of short and fast information reception.Drawing on the Business Model Canvas Theory and taking Romance of the Three Kingdoms as the main focus of analysis,this paper argues that the construction of a business model for the audio publishing of classical books should start from three aspects:the user evaluation of digital audio platforms,the establishment of value propositions based on the“creative transformation and innovative development”principle,and the improvement of the audio publishing infrastructure to ensure the healthy operation and development of the digital audio platforms and consequently improve their current state of development and expand the boundaries of cultural heritage.

The Book Publishing and Analysis of Modern Peking University Library

The paper is based on literature search,introducing and analyzing the book publishing situation of modern Peking University Library from the perspective of the publisher being Peking University Library and its predecessor.It is pointed out that the majority of the book printing methods published by the modern Peking University Library are lead printing,and among the types of Chinese library classification,catalogue of library collections is the most common.

Other Cities’Distribution Institutions for Publishing Books in Modern Chinese Libraries:Taking Huating Bookstore,the Shanghai General Distribution Office of Modern Zhejiang Library,as an Example

Many modern Chinese libraries have established distribution agencies in other cities to distribute books published or sold on consignment.Huating Bookstore,which was once the Shanghai General Distribution Office of Zhejiang Library in modern times,is one of them.On the basis of a brief description of modern Zhejiang Library and its book publishing,as well as the overview of Huating Bookstore,the paper introduces and analyzes the ZPL Publishing Book Catalogue sent by Huating Bookstore,and the ZPL publishing and selling consignment books issued by Huating Bookstore.It points out that Huating Bookstore is a bridge between the ZPL located in Hangzhou and various retail ZPL publishing bookstores in Shanghai.Their production and sales relationship is a mutually beneficial one.

Technological Innovation and Development of the Publishing Industry: The Challenging Digital Transformation of Publishing Houses in Cameroon

In the digital age, performance-oriented publishing houses utilize digital tools to optimize their editorial activities. This optimization affects both editorial practices and products in terms of content and form. These products, now accessible through various media, bring significant changes, while the editorial function undergoes a metamorphosis due to digital exposure. In Cameroon, the book sector is predominantly focused on school textbooks, a legacy from the colonial period. This study investigates the impact of technological innovation on Cameroonian publishing by examining the processes of content selection, legitimization, and dissemination in the digital age. Using the sociology of technology as a framework, we hypothesize an interrelationship between the dominance of textbook publishing and the delayed digital transformation of publishing houses in Cameroon. To explore this hypothesis, we conducted direct observations, interviews with key industry stakeholders, and an extensive analysis of digital adoption metrics within the publishing sector. Our research reveals that the historical focus on educational publishing has created structural and cultural barriers to embracing digital innovations. Moreover, limited infrastructure and a lack of digital literacy among publishing professionals further hinder the transition. Despite these challenges, there are emerging opportunities for digital transformation, particularly in diversifying content and expanding access through digital platforms. Our findings indicate that a strategic shift towards embracing digital tools and improving infrastructure could significantly enhance the efficiency and reach of Cameroonian publishing houses. By addressing the specific challenges identified in our study, the industry can leverage digital technologies to foster a more inclusive, dynamic, and resilient publishing environment. This study provides a detailed examination of the specificities of digital transformation in Cameroonian publishing, offering insights for policymakers and industry stakeholders aiming to promote technological innovation in the sector.

Analysis of the Books Issued by Yadong Library, Published by Peking University Publishing Department: Taking Several Bibliography Advertisements Carried in Newspapers and Magazines From 1919-1922 as Examples

Based on several bibliographic advertisements carried in newspapers and magazines from 1919 to 1922 for books published by Peking University Publishing Department,and issued by Yadong Library,the paper analyzes the characteristics of the books published by Peking University Publishing Department during this period,and points out that Yadong Library entered its golden period of development due to move from the alley to the main road and obtain the management rights of the books published by Peking University Publishing Department.

Perspectives from a publishing ethics and research integrity team for required improvements

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.

A New Privacy-Preserving Data Publishing Algorithm Utilizing Connectivity-Based Outlier Factor and Mondrian Techniques

Developing a privacy-preserving data publishing algorithm that stops individuals from disclosing their identities while not ignoring data utility remains an important goal to achieve.Because finding the trade-off between data privacy and data utility is an NP-hard problem and also a current research area.When existing approaches are investigated,one of the most significant difficulties discovered is the presence of outlier data in the datasets.Outlier data has a negative impact on data utility.Furthermore,k-anonymity algorithms,which are commonly used in the literature,do not provide adequate protection against outlier data.In this study,a new data anonymization algorithm is devised and tested for boosting data utility by incorporating an outlier data detection mechanism into the Mondrian algorithm.The connectivity-based outlier factor(COF)algorithm is used to detect outliers.Mondrian is selected because of its capacity to anonymize multidimensional data while meeting the needs of real-world data.COF,on the other hand,is used to discover outliers in high-dimensional datasets with complicated structures.The proposed algorithm generates more equivalence classes than the Mondrian algorithm and provides greater data utility than previous algorithms based on k-anonymization.In addition,it outperforms other algorithms in the discernibility metric(DM),normalized average equivalence class size(Cavg),global certainty penalty(GCP),query error rate,classification accuracy(CA),and F-measure metrics.Moreover,the increase in the values of theGCPand error ratemetrics demonstrates that the proposed algorithm facilitates obtaining higher data utility by grouping closer data points when compared to other algorithms.

Large language models and scientific publishing

ChatGPT and similar large language models(LLMs)have rapidly caught the sci-entific and popular imagination,inviting reflections on their potential and risk for science(Grimaldi&Ehrler,2023;Nature,2023;Thorp,2023;van Dis et al.,2023).

Publishing and Medicine:A Potentially Integrated Field?

This article focuses on the intersection of English-language scholarship between the history of publishing and the history of medicine in Imperial China.As an important part of cultural and social history,both topics have attracted attention from a number of historians.This article contains three sections.The first section introduces the evolution of Chinese book and publishing history in recent years and examines what book historians have done in relation to traditional Chinese medicine.The second section explores how medical historians have considered the role of printing in the history of Chinese medicine and the ways in which medical publications were used as primary sources or subjects of research.The third section explores scholarship on medical epistemic genres,a subfield of medical history,in Chinese medicine,specifically focusing on medical case histories and recipes from the comparative and cross-cultural perspectives.Finally,the conclusion explores potential future directions from the integration of Chinese publishing history and medical history.

Economy&Management Publishing House

Founded in 1984 by renowned economists Ma Hong and Jiang Yiwei,Economy&Management Publishing House is a central-level publishing house led by the Chinese Academy of Social Sciences(CASS)and sponsored by Institute of Industrial Economics of CASS.Since its establishment,Economy&Management Publishing House has undertaken the mission of cultural inheritance,and has always given top priority to social benefits.By adhering to the objective of“spreading management philosophy and creating economic value”.

Economy&Management Publishing House

Founded in 1984 by renowned economists Ma Hong and Jiang Yiwei,Economy&Management Publishing House is a central-level publishing house led by the Chinese Academy of Social Sciences(CASS)and sponsored by Institute of Industrial Economics of CASS.Since its establishment,Economy&Management Publishing House has undertaken the mission of cultural inheritance,and has always given top priority to social benefits.By adhering to the objective of“spreading management philosophy and creating economic value”,it promotes mainstream consciousness,excellence and academic publishing.Backed by the strong scientific research ability of CASS,Economy&Management Publishing House has extensively contacted domestic and foreign universities and scientific research institutions,and has gradually developed into a publishing house with professional and academic features in economics and management.So far,11 branch offices,1 professional copy editing departments and several functional departments have been established.

The Path to Reshaping the Structure and Chain System of the Publishing Industry in the Era of Big Data

Today,we are living in the era of“big data”where massive amounts of data are used for quantitative decisions and communication management.With the continuous penetration of big data-based intelligent technology in all fields of human life,the enormous commercial value inherent in the data industry has become a crucial force that drives the aggregation of new industries.For the publishing industry,the introduction of big data and relevant intelligent technologies,such as data intelligence analysis and scenario services,into the structure and value system of the publishing industry,has become an effective path to expanding and reshaping the demand space of publishing products,content decisions,workflow chain,and marketing direction.In the integration and reconstruction of big data,cloud computing,artificial intelligence,and other related technologies,it is expected that a generalized publishing industry pattern dominated by virtual interaction will be formed in the future.

A New Anonymity Model for Privacy-Preserving Data Publishing

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.

A Method of Eliminating Information Disclosure in View Publishing

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.

Medical data publishing based on average distribution and clustering

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.

Liver Transplantation (in Chinese), revised edition, Edited by Shu-Sen Zheng. Pp843. Beijing: People's Medical Publishing House, 2012. ISBN: 978-7-117-15494-9/R.15495. ￥RMB 158

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

An “impact” in publishing

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.

A Dynamic Social Network Data Publishing Algorithm Based on Differential Privacy

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.

Factors Influencing Cities’ Publishing Efficiency

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.