Wei Li

Genetic data, which contains human life codes, is the most fundamental privacy of individuals and is therefore protected by the right to privacy. However, given the diverse subjects involved in genetic data, traditional individualistic privacy regulations face challenges in practise, posing a global dilemma on effective gene privacy protection. Over the past three decades, China has seen rapid development in the concepts of privacy and gene privacy. Genetic data is inherently classified as private data, entitled to protection under CCC and CPIPL. China adopts an informed consent model rooted in individualism for gene privacy protection, yet faces triple dilemmas in practice, including inadequate protection for individuals, insufficient safeguards for societal interests, and benefit-sharing imbalances. Going forward, China should first shift its governance philosophy from individualism to group dimension; second, further restrict individuals’ self-determination over genetic data; and finally, give full play to its existing organizational structure, public interest litigation system, and the role of groups in safeguarding benefit-sharing.

Genetic data, which contains human life codes, is the most fundamental privacy of individuals and is therefore protected by the right to privacy. However, given the diverse subjects involved in genetic data, traditional individualistic privacy regulations face challenges in practise, posing a global dilemma on effective gene privacy protection. Over the past three decades, China has seen rapid development in the concepts of privacy and gene privacy. Genetic data is inherently classified as private data, entitled to protection under CCC and CPIPL. China adopts an informed consent model rooted in individualism for gene privacy protection, yet faces triple dilemmas in practice, including inadequate protection for individuals, insufficient safeguards for societal interests, and benefit-sharing imbalances. Going forward, China should first shift its governance philosophy from individualism to group dimension; second, further restrict individuals’ self-determination over genetic data; and finally, give full play to its existing organizational structure, public interest litigation system, and the role of groups in safeguarding benefit-sharing.

The recent advances in assisted reproductive technology, such as hormonal stimulation, IVF, and intracytoplasmic sperm injection (ICSI), have made it possible to circumvent many causes of male and female factor infertility. However, uterine infertility is still considered an ‘‘unconditionally infertile’’ condition. Owing to the continued advances in organ transplantation, microvascular anastomosis techniques, and immunosuppressive medicine, the transplantation of organs is no longer restricted to the ones necessary for continued life. Quality-of-life enhancing types of transplantation, such as uterine transplantation, in recent years, have also entered the clinical arena. This undoubtedly brings new hope to such women, but also creates ethical challenges. Selection of the donor, the impact on the recipient and offspring, as well as challenges to moral and social norms are issues that cannot be ignored. In the present review, the ethical issues of transplantation of the uterus will be discussed in light of recent progress in the procedure.

Although the global healthcare system is paying increasing attention to obstetric violence, this form of gender-based violence during childbirth remains a serious issue. The primary objective of this comprehensive study is to explore the experiences and needs of women subjected to obstetric violence on a global scale. A systematic search was conducted in December 2024 across the Web of Science, Embase, PubMed, and CINAHL databases to identify eligible studies. Data synthesis was performed using the three-stage thematic and content analysis method. A total of 39 eligible qualitative studies were included in this review. Thematic synthesis identified 6 themes and 17 sub-themes: (1) Obstetric Violence Types; (2) Gaslighting Effect: The Authoritative Position of Healthcare Providers; (3) Stigmatization and Discrimination Experienced by Women; (4) Who is Normalizing Obstetric Violence? (5) Substandard Medical Institutions; (6) Trauma Induced by Obstetric Violence. Obstetric violence continues to persist in various countries and regions. Women have endured various forms of obstetric violence, with their autonomy and rights to informed consent being severely compromised. They have experienced neglect and abandonment by healthcare providers, and face discrimination and differential treatment due to factors such as race, socioeconomic status, age, and culture. The primary cause of obstetric violence is the unequal power dynamics between healthcare providers and women, with the authoritative position of healthcare providers leading to a lack of communication and recognition between both parties.

This paper examines the efficacy of three pedagogical approaches for teaching English-Chinese translation strategies, specifically applied to religious texts for intermediate-level EFL (English as a Foreign Language) learners. The participants were randomly divided into three groups, each trained with a distinct methodological framework: Explicit-Method-Chain (EMC), Explicit-Task Method Chain (ETMC), or Implicit Task Method Chain (ITMC). Utilizing a mixed methods approach, this study gathered quantitative and qualitative data in its formative stage to assess the effectiveness of each strategy, followed by a comparative analysis of their outcomes. The findings indicate that while all strategies significantly enhance the translation skills of intermediate EFL learners, the Explicit-Task Method Chain (ETMC) proved more effective, particularly in the accurate and culturally sensitive translation of complex theological concepts and sacred language. This suggests that explicit task-focused training better prepares translators to handle the nuanced aspects of religious texts, thereby facilitating a deeper understanding and respect for cultural and spiritual nuances in translation practices.

Support China's economic growth in the past 30-year high and not the main factor inputs and technological progress, this extensive growth mode and this mode of economic growth is not sustainable. China's economic development is to enter the "Lewis turning point range," which may change the mode of economic growth mainly depends on technological progress to provide the conditions, it may trap the economy into balance. Technological progress itself has inherent logic, it stems from the division of labor, and spontaneous evolution of division of labor but also has a positive feedback mechanism. Building "innovative country" is difficult to rely on the government to mobilize all social forces to focus on research of the "National System" to achieve, the deepening division of labor is the technological progress, sustained economic growth and thus is a decisive factor. It is the factors inputting rather than the technological progress to support China's rapid economic growth in the past 30 years, however, it is not sustainable that the extensive growth style and the economic growth under such kind of style. The fact that China's economic development is entering 'the Louis' turning zone' may provide conditions to the transition of economic growth style, meanwhile it may also make the economy fall into the equilibrium trap. Because there is its own inherent logic in the technological progress, it is impossible to achieve the technological progress widely by 'Whole Country System', which depends on the government's role. The technological progress is from the labor division which strengthens itself through the positive feedback mechanisms. The development of labor division is the decisive factor for the technological progress and sustained economic growth.

BackgroundThe underrepresentation of scholarly works from low- and middle-income countries (LMICs) in academic literature is a documented concern, attributed partly to editorial biases. This trend, prevalent across various disciplines, has been less explored in the context of medical ethics journals. This study aimed to examine the composition of editorial board members (EBM) in high-impact medical ethics journals and to evaluate the extent of international diversity within these editorial teams.MethodsThis study incorporated an analysis of 16 high-impact medical ethics journals. Information regarding the EBM of these journals was systematically gathered and categorized based on the World Bank’s country income classifications. An in-depth examination of the editorial board compositions was then conducted.ResultsThe study identified 669 EBM across the selected journals. A predominant 89.84% (601) of these members were from high-income countries (HICs), with upper-middle-income countries contributing 7.47% (50) and lower-middle-income countries 2.69% (18). No EBM were associated with low-income countries. A regional breakdown indicated that North America was the most represented area, accounting for 48.88% (327), followed by Europe & Central Asia (27.50%, 184), East Asia & Pacific (13.45%, 90), Latin America & Caribbean (4.63%, 31), Sub-Saharan Africa (4.19%, 28), Middle East & North Africa (0.75%, 5), and South Asia (0.60%, 4). In total, these EBMs hailed from 46 different countries, with the United States representing the largest proportion (43.80%, 293), followed by the United Kingdom (13.15%, 88), Australia (7.92%, 53), Germany (6.73%, 45), and Canada (5.08%, 34).ConclusionsThere is a significant lack of international representation within the EBM of high-impact medical ethics journals. The majority of editors in this field are affiliated with HICs, leading to a severe underrepresentation of LMICs within the editorial boards.

Improving the coordination between technological innovation in high-tech industries and regional economic development is an important measure for all provinces to implement the innovation-driven development strategy. Based on the analysis of the mechanism of high-tech industrial technological innovation and regional economic development, this paper constructs the measurement index system of high-tech industrial technological innovation and regional economic development, and the chain network DEA model, entropy weight method, coupling coordination model, and exploratory spatial data analysis technology are comprehensively used to empirically analyze the technological innovation efficiency of high-tech industries, regional economic development level, and the coupling coordination relationship between them and the spatiotemporal evolution trend in 24 provinces of China from 2009 to 2018. The results show that there are significant differences in the average level of technological innovation efficiency of high-tech industry in each stage, which is the most prominent in the technology research and development stage, followed by the industrialization stage, and finally in the technology transformation stage. The degree of coupling and coordination between high-tech industrial technological innovation and regional economic development is increasing year by year, which is in the adaptation stage of high-tech industrial technological innovation and regional economic development. From the perspective of spatial pattern, there is a positive spatial autocorrelation between the coupling coordination degree of high-tech industrial technological innovation and regional economic development. The number of provinces with low coupling coordination degree is much larger than that with high coupling coordination degree, showing a serious imbalance of regional heterogeneity and forming two spatial aggregation areas of “high-high” diffusion effect and “low-low” low-speed growth.

Based on the stress interaction theory, this research constructed a model to study the joint moderating effects of the perception reduction of employment opportunities under the COVID-19 epidemic on the employment pressure of college students. With two moderating variables introduced, employment policy support and job-searching self-efficacy, this research studied the mechanism and boundary conditions of perception reduction of employment opportunities on employment pressure of college students from both individual and environmental aspects. The study found that during the epidemic if college students perceived fewer employment opportunities, they could have greater employment pressure from themselves, schools, and families; and that under the joint moderation of employment policy support and job-searching self-efficacy, the perception reduction of employment opportunities under the COVID-19 epidemic, the employment pressure of college students, universities, and families were connected, with different adjustment mechanisms. Based on empirical data, this research can provide theoretical enlightenment and practical guidance for the government, universities, and families to alleviate the employment pressure on college students during the epidemic.

The existing literature provides conflicting results on the association between firm performance and corporate social responsibility disclosure. This paper empirically examines the effect of firm performance on CSR disclosure in terms of disclosure frequency and quality among Chinese listed firms and the possible mediating effect of corporate ownership on the relationship between firm performance and CSR disclosure. Our findings show that better‐performing firms are more likely than worse‐performing ones to disclose CSR information and to produce higher quality CSR reports. In addition, the link between firm performance and CSR disclosure is found to be weaker among state‐owned enterprises compared with non‐state‐owned ones

The COVID-19 is creating panic among people around the world and is causing a huge public mental health crisis. Large numbers of observational studies focused on the prevalence of psychological problems during the COVID-19 pandemic were published. It is essential to conduct a meta-analysis of the prevalence of different psychological statuses to insight the psychological reactions of general population during the COVID-19 epidemic in China. Sixty six observational studies about the psychological statuses of people during the COVID-19 were included, searching up to 1 December 2020. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) was used to evaluate the quality of the included studies. OpenMeta[Analyst] was used for the data analysis. High prevalence of acute stress and fear symptoms were observed in the early period of the epidemic. Additionally, anxiety and depression symptoms continued at a high prevalence rate during the epidemic. It should alert the lasting mental health problems and the risk of post-traumatic stress disorder and other mental disorders.Systematic Review Registration:PROSPERO CRD 42020171485.

The foundation scheme in set theory asserts that every nonempty class has an ∈\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\in $$\end{document}-minimal element. In this paper, we investigate the logical strength of the foundation principle in basic set theory and α\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\alpha $$\end{document}-recursion theory. We take KP set theory without foundation as the base theory. We show that KP-\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^-$$\end{document} + Π1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\Pi _1$$\end{document}-Foundation + V=L\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$V=L$$\end{document} is enough to carry out finite injury arguments in α\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\alpha $$\end{document}-recursion theory, proving both the Friedberg-Muchnik theorem and the Sacks splitting theorem in this theory. In addition, we compare the strengths of some fragments of KP.

For the first time, this study uses the sports event—tennis as an intermediate carrier to build a bridge of interaction between wealth management characteristic talents and wealth management objects, so that the training of wealth management characteristic talents and employers can be seamlessly connected and integrated naturally. It has broadened the employment channels for talents with characteristics of wealth management, shortened the time process for the integration of wealth management-related college graduates into the society, and improved the recognition of wealth management-related students by employers. At the same time, this study proposes specific measures for wealth management-related employers to feed back the quality of wealth management talent training in colleges and universities.

Mathematical logic is a branch of mathematics that takes axiom systems and mathematical proofs as its objects of study. This book shows how it can also provide a foundation for the development of information science and technology. The first five chapters systematically present the core topics of classical mathematical logic, including the syntax and models of first-order languages, formal inference systems, computability and representability, and Gödel’s theorems. The last five chapters present extensions and developments of classical mathematical logic, particularly the concepts of version sequences of formal theories and their limits, the system of revision calculus, proschemes (formal descriptions of proof methods and strategies) and their properties, and the theory of inductive inference. All of these themes contribute to a formal theory of axiomatization and its application to the process of developing information technology and scientific theories. The book also describes the paradigm of three kinds of language environments for theories and it presents the basic properties required of a meta-language environment. Finally, the book brings these themes together by describing a workflow for scientific research in the information era in which formal methods, interactive software and human invention are all used to their advantage. The second edition of the book includes major revisions on the proof of the completeness theorem of the Gentzen system and new contents on the logic of scientific discovery, R-calculus without cut, and the operational semantics of program debugging. This book represents a valuable reference for graduate and undergraduate students and researchers in mathematics, information science and technology, and other relevant areas of natural sciences. Its first five chapters serve as an undergraduate text in mathematical logic and the last five chapters are addressed to graduate students in relevant disciplines.

Empathy and altruistic behavior are more crucial abilities for pre-service teachers to possess when compared with other study fields. The relationship between empathy and altruistic behavior in Chinese pre-service teachers and their underlying mechanisms, however, has received relatively little attention in the literature. Therefore, the goal of the current study was to examine the links between study fields, self-control, emotional empathy, and altruistic preferences among undergraduates and graduates in five Chinese universities with the Interpersonal Reactivity Index-C Questionnaire, the Self-Control Scale, and the Chinese Self-Report Altruism Scale tests. The results showed a significant difference between pre-service and non-pre-service teachers in empathic concern and self-control. Furthermore, empathic concern and altruistic behavior tendency of pre-service teachers were significantly higher than those of non-pre-service teachers. Moreover, mediation analyses indicated that empathic concern partially mediated the relationship between study fields and altruistic tendency. Moderated mediation analysis further revealed that self-control buffered the relation between empathic concern and altruistic behavior tendency. These results demonstrate that altruistic tendency of pre-service teachers is influenced by empathic concern and self-control.

Although there have been numerous studies on mental wellbeing impairment or other negative consequences of Workplace Violence (WPV) against healthcare professionals, however, the effects of WPV are not limited to those who experience WPV in person, but those who exposed to WPV information indirectly. In the aftermath of “death of Dr. Yang Wen,” a cross-sectional study was conducted to explore the psychological status of healthcare professionals. A total of 965 healthcare professionals from 32 provinces in China participated in our research. The prevalence rates of Post-Traumatic Stress Disorder (PTSD) symptoms, depression, anxiety among healthcare professional in the current study were 25.60, 46.01, and 27.88%, respectively. Moreover, our research suggested that the awareness of WPV-incident had a significant association with PTSD symptoms. In addition, risk perception was shown to mediate the effect of WPV awareness on PTSD symptoms. Furthermore, the present research also found a U-shaped relationship between issue salience and PTSD symptoms, and the relationship between issue salience and anxiety, indicating that higher awareness of WPV issue was negatively related to mental health status (including PTSD and anxiety) but only to the points at which there were no additional effects of more issue salience. This study highlighted that more protective measures for healthcare professionals need to be implemented in response to potential WPV events. More importantly, risk perception was found to mediate the effect of WPV issue salience on PTSD symptoms, it is critical to reduce the mental health burden through intervening in risk perception.

Poverty alleviation consumption, which we call altruistic consumption, has become a new effective way to help vulnerable groups, but there are a few empirical researches on poverty alleviation through consumption. This article takes China's poverty alleviation actions as the research object, investigates and studies the relationship between altruistic consumption motivations and altruistic consumption behaviors that aim for vulnerable groups. It is found that altruistic consumption behavior is mainly affected by benefit group motivation, benefit morality motivation, benefit demander motivation, and benefit supplier motivation. There is a correspondence between the four altruistic consumption motivations and the four altruistic consumption behaviors. The strength of altruistic consumption motivations changes with changes in altruistic buying behavior. The strength of benefit group motivation decreases with the increase in the times of altruistic purchases, while the strength of benefit morality motivation, benefit demander motivation, and benefit supplier motivation increase with the increase in the times of altruistic purchases. Among the four kinds of altruistic consumption motivations that affect the times of altruistic purchases, the benefit demander motivation has a relatively greater influence. The results of this study have important guiding significance for vulnerable groups to formulating targeted proactive marketing strategies, preventing the altruistic consumption relationship dissolution, and realizing sustainable altruistic consumption.

Internet of thing building sensors can capture several types of building operations, performances, and conditions and send them to a central dashboard to analyze data to support decision-making. Traditionally, laptops and cell phones are the majority of Internet-connected devices. IoT tracking allows customers to close the distance between devices and enterprises by collecting and analyzing various IoT data through connected devices, customers, and applications on the network. There is a lack of requirements for IoT edge applications security and approval. There are no best practices regarding operations focused on IoT incidents. IoT elements are not covered by audit and logging requirements. In this article, a big data analytics-based customer operation system analyzes the operation. With the exponential rise in data usage, the explosive development in the IoT devices reflects the ideal overlap of big data growth with IoT. Big data analytics continuously evolving network raises trivial questions about the performance, distribution of data, analysis, and protection of data collection. IoT modifies almost all the construction industry characteristics. Human-centered artificial intelligence is described as systems that always improve because of human input while also delivering an effective experience between the human and the robotic. The IoT is the key factor that ensures greater building performance. It was the first evolution of technology in a long time to turn genuine inventions into an industry that depended heavily on paper and manual processes. The benefits of the IoT in construction are now quite obviously much heavier than those of current manual processes. As a result, more construction companies explore and incorporate IoT strategies to address their productivity challenges, increasing efficiencies and profits. The simulation analysis shows that the proposed BDA-CO model enhances the trust score of 98.5%, accuracy detection ratio of 93.4%, probability ratio of 97.6%, and security ratio of 98.7% and reduces the false negative ratio of 21.3%, response time of 10.5%, delay rate of 19.9%, and packet loss ratio of 15.4% when compared to other existing techniques.

Credit distribution is uneven in the domestic financial market since it is relatively easy for listed companies, mainly state-owned enterprises, to obtain banks’ funds. Unbalanced credit distribution has caused some listed companies to participate in “Borrow to Lend” activities. Based on the traditional “financing priority” theory and credit rationing theory, this paper studies the “Borrow to Lend” shadow banking activities of China’s non-financial listed companies based on the 2007–2018 financial statement data of Chinese-listed companies and discusses the micro-level and macro-level related factors behind this activity. The empirical results show that China’s non-financial listed companies, especially the state-owned enterprises, are participating in obvious “Borrow to Lend” activities. The real economy’s rate of return shows a negative relationship with “Borrow to Lend” activities at the level of individual companies and their industries. This article uses the exogenous growth part of M2 growth to measure monetary policy tightness in terms of macro and credit policies. It uses the ratio of state-owned enterprise loans to total corporate loans as an approximate indicator of the credit distribution structure. The empirical results indicate that state-owned enterprises’ “Borrow to Lend” activities have shifted in the same direction as the tightening of monetary policy after the financial crisis. The proportion of state-owned enterprise loans positively correlates with state-owned enterprises’ “Borrow to Lend” activities.