The labor philosophy is a concept formatting by reflection on practical philosophy in contemporary China and a regression from the understanding of Marx’s philosophy foundation to Marx text. That Marx’s philosophy is explained to be practical philosophy by Italian Labriola, Gramsi and Yugoslavia practice school in 20 century produced great effect on research filed of Marx’s philosophy. Practical philosophy has been rising in the study of Marx’s philosophy in China mainland since more than 20 years ago, it is the mainstream (...) discourse in philosophical circles of modern China mainland. In the study course of contemporary China practice philosophy, it general falls into four theoretical patterns: practice epistemology, practice ontology, communicative practical theory and practice materialism and they once promote the study of Chinese Marx’s philosophy effectively. Practice is the key category of Marx’s philosophy. But practice category presents gradually the trend of totalization in the study course of practice philosophy, That the practice form being presented diachronically such as material production labor, the activities of dealing with social relations and science experiment etc. is coordinated synchronically makes the historicity of practice be masked, thus the characteristic of Marx’s philosophy is weakened and the rationality problem of practice philosophy appears slowly: the practice category being totalized has not been a origin category of Marx’s philosophy. The basic connotation of practice in Marx’s philosophy is material production labor. Just on the base of labor category, Marx exploited existence theory in existentialism; Only let labor category be logic starting point can we clarify the basic characteristic of Marx’s philosophy in existentialism dimension. The paper refers to the concept of labor philosophy in order to emphasize that the labor category is the origin of Marx’s philosophy and the breakthrough of his philosophy revolution. With the logical development of labor category, we can give a new explanation on the system, contemporariness and cosmopolitism of Marx’s philosophy in order to reach a new realm of the study of Marx’s philosophy. (shrink)

Editors’ AbstractThis articles expresses a strong discontent with Sinologism and argues that its rise is the result of an uncritical application of Said’s Orientalism and postcolonial theory to Sinology, and that its proponents have committed a grave error in treating Sinology as a discourse of ideology full of subjective imaginations, to the neglect of the fact that Sinology is a branch of objective scholarship. After reviewing the evolution of the concept of Sinology in history, it critically analyzes some major ideas (...) of Sinologism in relation to Orientalism and draws the conclusion that the proponents of Sinologism are unaware of the inherent problems in Said’s theory and postmodern theory, have inadequate knowledge of Sinological history, and oversimplified the complex issues in Sinological studies. (shrink)

本书是 "海外汉学研究丛书" 之一, 全书共分三个部分, 主要从各个角度呈现了莱布尼茨对中国的关注及他思想中与中国相关的元素, 具体内容包括"反各种乌托邦思想的人类可完满性--莱布尼茨政治哲学的几个观点","莱布尼茨认识与文化的多元透视洞悉论与其形而上学基础","耶稣会士白晋与莱布尼茨","中国莱布尼茨研究的历史,现状和展望" 等.

本书以人物、机构和刊物为抓手，对16-18世纪儒学西传欧洲进行了全面的梳理和总结，对中国古代文化经典外译的数量和时段做了初步的划分，也对我国中学西传研究滞后的原因做了分析。.

本书包括七章:人文精神与价值冲突,全球化与价值冲突,文化与价值冲突,中国入世与价值冲突,社会转型与价值冲突,价值观教育与价值冲突,道德和法律建设与价值冲突。.

In the process of rapid urbanization, urban heat island effect has been showing more and more significant impacts on human well-being. Therefore, a more detailed understanding of the impact of three-dimensional building morphology on UHI effect across a continuum of spatial scales will be necessary to guide and improve the human settlement.This study selected 31 provincial capital cities of mainland China to analyze the impacts of the 3D building morphology, including the number, area, height, volume, and the surface area of (...) the buildings, on the land surface temperature. By exploring how the influence of 3D building morphology on LST changes with the increase of spatial scale, this study finally recognized which 3D building morphology index is the most significant index affecting LST in different cities, and which spatial scale these 3D building morphology indexes have the most significant impact on LST. The results showed that the building area is the most important 3D building morphology parameter affecting the LST, while the building height has the slightest influence on the LST. These effects are more significant in the spatial scale of 150 m–540 m, and the spatial scale increases with the increase of building areas in developed cities. These results highlight the necessity of considering fine-grained management in the governance and alleviating of the urban thermal environment through urban planning and urban renewal strategies. (shrink)

The aim of this study was to examine the effect of cognitive information processing and social cognitive career theory group counseling on high school students’ career adaptability. The study involved 81 students from grade 10 and grade 11 in a Chinese public high school. Among the 81 participants, 27 were in the CIP group, 28 were in the SCCT group, while the rest were in the control group. All participants completed a pre-test, post-test, and tracking-test assessment of their career adaptability. (...) Results indicated that the interventions were effective for the students with low career adaptability, the CIP group counseling improved the career concern after the intervention, whereas the SCCT group revealed a more robust effect on career adaptability after 3 months of the intervention. The practical implications of the study for career interventions are also discussed. (shrink)

Previous studies have demonstrated that lying can undermine memory and that its memory-undermining effects could be modulated by the cognitive resources required to tell lies. We extended the investigation of the memory-undermining effect by using a daily life setting in which participants were highly involved in a mock shopping task. Participants were randomly assigned to truth-telling, denying or mixed lying conditions. After finishing the shopping task, participants were told that two people wanted to know about their shopping lists and would (...) ask them some questions in an interview. During the interview, participants were asked whether each of ten items were on the shopping list, five of which were randomly selected from the shopping list, while the other five were not sold in the store. In answering the interview questions, the truth-telling group was asked to respond honestly, the denying group was asked to give denial responses, and the mixed lying group was asked to respond deceptively. Thus, the denying group told five lies and the mixed lying group told ten lies in the interview. The item memory test, source memory test and destination memory test were given in an orderly manner 48 h after the interview. We found that the mixed lying group, rather than the denying group, forgot the lies they told in the interview and mistakenly believed they had lied about something that they had not lied about. Moreover, the mixed lying group retained fewer memories about the person they responded to than the honest group. In addition, participants in the mixed lying group had more non-believed memories than those in the truth-telling group in both item and source memory tests. We conclude that more lies could result in more memory disruptions in daily life. (shrink)

Patients with serious illnesses or injuries may decide to quit their medical treatment if they think paying the fees will put their families into destitution. Without treatment, it is likely that fatal outcomes will soon follow. We call this phenomenon “near-suicide”. This study attempted to explore this phenomenon by examining how the seriousness of the patient’s illness or injury and the subjective evaluation of the patient’s and family’s financial situation after paying treatment fees affect the final decision on the treatment (...) process. Bayesian Mindsponge Framework (BMF) analytics were employed to analyze a dataset of 1042 Vietnamese patients. We found that the more serious the illnesses or injuries of patients were, the more likely they were to choose to quit treatment if they perceived that paying the treatment fees heavily affected their families’ financial status. Particularly, only one in four patients with the most serious health issues who thought that continuing the treatment would push themselves and their families into destitution would decide to continue the treatment. Considering the information-filtering mechanism using subjective cost–benefit judgments, these patients likely chose the financial well-being and future of their family members over their individual suffering and inevitable death. Our study also demonstrates that mindsponge-based reasoning and BMF analytics can be effective in designing and processing health data for studying extreme psychosocial phenomena. Moreover, we suggest that policymakers implement and adjust their policies (e.g., health insurance) following scientific evidence to mitigate patients’ likelihood of making “near-suicide” decisions and improve social equality in the healthcare system. (shrink)

With the growth of precision medicine research on health data and biospecimens, research institutions will need to build and maintain long-term, trusting relationships with patient-participants. While trust is important for all research relationships, the longitudinal nature of precision medicine research raises particular challenges for facilitating trust when the specifics of future studies are unknown. Based on focus groups with racially and ethnically diverse patients, we describe several factors that influence patient trust and potential institutional approaches to building trustworthiness. Drawing on (...) these findings, we suggest several considerations for research institutions seeking to cultivate long-term, trusting relationships with patients: Address the role of history and experience on trust, engage concerns about potential group harm, address cultural values and communication barriers, and integrate patient values and expectations into oversight and governance structures. (shrink)

Humankind is facing many existential global problems that require international and transgenerational efforts to be solved. Preparing our next generation with sufficient knowledge and skills to deal with such problems is imperative. Fortunately, the digital environment provides foundational conditions for children’s and adolescents’ exploration and self-learning, which might help them cultivate the necessary knowledge and skills for future survival. We conducted the Bayesian Mindsponge Framework (BMF) analytics on a dataset of 2069 students from 54 Vietnamese elementary, secondary, and high schools (...) to test this presumption. The results showed that students with higher digital literacy are more curious and have better knowledge regarding global issues (i.e., climate change, disease, overpopulation, aging, etc.). Students’ curiosity also mediates the relationship between digital literacy and global issues knowledge. Based on these findings, we argue that digital explorative space is essential for digital natives’ education for survival, individually (i.e., for future employment requirements) and socially (i.e., for making informed decisions and creating innovations that can be helpful to society). Children’s and adolescents’ exposure to digital explorative space should be promoted to improve their digital literacy rather than prohibition. During the exploration, emotional intelligence is critical in mitigating existential risks, or threats, to digital natives to navigate and overcome chaotic processes occurring in unchartered waters in the virtual world. (shrink)

The expanding integration of artificial intelligence (AI) in various aspects of society makes the infosphere around us increasingly complex. Humanity already faces many obstacles trying to have a better understanding of our own minds, but now we have to continue finding ways to make sense of the minds of AI. The issue of AI’s capability to have independent thinking is of special attention. When dealing with such an unfamiliar concept, people may rely on existing human properties, such as survival desire, (...) to make assessments. Employing information-processing-based Bayesian Mindsponge Framework (BMF) analytics on a dataset of 266 residents in the United States, we found that the more people believe that an AI agent seeks continued functioning, the more they believe in that AI agent’s capability of having a mind of its own. Moreover, we also found that the above association becomes stronger if a person is more familiar with personally interacting with AI. This suggests a directional pattern of value reinforcement in perceptions of AI. As the information processing of AI becomes even more sophisticated in the future, it will be much harder to set clear boundaries about what it means to have an autonomous mind. (shrink)

From its inception, genomics has been a speculative endeavor, fixated on a far-off horizon that would deliver on the promise of targeted diagnostics and individualized therapeutics (Fortun 2008). M...

ELSI efforts long have been troubled by critiques that they privilege scientific frameworks and grant scientists the power to set ethical agendas. As the first director of the Human Genome Project’...

Based on the conservation of resources theory, this study developed a model linking social undermining to employees helping behaviors and work role performance via expression of guilt, with religious faith possessed by employees as a first-stage moderator. We argue that individuals will feel guilty if they perceive themselves as the perpetrators of the social undermining against their coworkers. Feeling guilt can potentially trigger prosocial responses (i.e., helping coworkers) and enhance work role performance for improving the situation. We contend that religious (...) faith that commands doing good with others further provides resources for managing these negative emotions to unleash a positive side of social undermining, such that the relation of social undermining with an expression of guilt will be strengthened. A multisource (supervisor-supervisee), multi-wave, and multi-context (education, healthcare, and banking) survey involving 281 employees largely supports our study hypotheses. The results indicated that social undermining is associated with more guilt expressions amid religious individuals, revealing higher prosocial and work role performance. For business ethics research, the current study unveils an important mediator—guilt expressions about wrongdoing—via which individuals’ social undermining behaviors at work, somewhat counterintuitively, lead to boost performance outcomes, and an employee’s religious faith helps a facilitator of this relationship. (shrink)

Background: Infectious disease outbreaks such as COVID-19 and MERS pose a major threat to healthcare workers' physical and mental health. Studies exploring the positive changes gained from adapting to traumatic events, known as post-traumatic growth, have attracted much attention. However, it is unclear which factors or experiences lead to PTG among HCWs. The purpose of this mixed-method study was to investigate factors associated with PTG among HCWs who experienced the MERS outbreak in South Korea, and fully describe their experience of (...) developing PTG.Methods: Quantitative data from 78 participants were collected using psychometric tools for Psychological distress, Resilience, and Support for coping, and Post-traumatic growth. Qualitative interviews were conducted with seven nurses. Data were analyzed using the qualitative content analysis method according to the sub-themes of resilience, which was the main factor associated with PTG.Results: We found resilience to have a significant impact on PTG. Thus the qualitative interviews were analyzed using the core concepts of resilience. Qualitative interviews with nurses illustrated how participants experienced the development of resilience in terms of its sub-factors: hardiness, persistence, optimism, and support.Conclusion: HCWs who endured the MERS outbreak showed high levels of PTG, and the analysis of the interview data provided a fuller understanding on the experience of remaining resilient and developing PTG. These results provide practical and pragmatic information helpful for developing intervention strategies and protocols that can help HCWs transform adversity into growth and development. (shrink)

volume 1. Yi tong ; Zhou yi jiang zuo -- volume 2. Zhou yi quan jie -- volume 3. "Zhou yi, Xi ci zhuan" xin bian xiang jie ; "Shang shu, Yu xia shu" xin jie -- volume 4. Zhongguo nu li she hui de ji ge wen ti ; Lun jing tian zhi du ; Zhongguo nu li she hui shi -- volume 5. Kongzi xin zhuan -- volume 6. Jing xue gai lun ; Xian Qin si xiang shi (...) ; Xian Qin si xiang shi zhuan ti jiang shou ti gang -- volume 7. Lun wen Jing xue bian, Shi xue bian -- volume 8. Lun wen Shi xue bian, Zi xue bian -- volume 9. Lun wen Zi xue bian, Xu ba bian, Za zhu bian ; Zi zhuan -- volume 10. Fu lu. (shrink)

本书选录金开诚先生在文艺心理学、楚辞研究、传统文化研究、书法艺术研究等诸多领域研究方面的代表作，附收部分“随笔杂谈”类文编于后。.

本书是作者晚年在老朋友的建议下撰写的回忆录，内容涉及与他交往密切的老朋友、个人经历和治学活动，以及生活情趣等等。.

With the rapid expansion of parameters in large language models (LLMs) and the application of Reinforcement Learning with Human Feedback (RLHF), there has been a noticeable growth in the moral competence of LLMs. However, several questions warrant further exploration: Is it really possible for LLMs to fully align with human values through RLHF? How can the current moral growth be philosophically contextualized? We identify similarities between LLMs’ moral growth and Deweyan ethics in terms of the discourse of human moral development. (...) We then attempt to use Dewey’s theory on an experimental basis to examine and further explain the extent to which the current alignment pathway enables the development of LLMs. A beating experiment serves as the foundational case for analyzing LLMs’ moral competence across various parameters and stages, including basic moral cognition, moral dilemma judgment, and moral behavior. The results demonstrate that the moral competence of the GPT series has seen a significant improvement, and Dewey’s Impulse-Habit-Character theory of moral development can be used to explain this: the moral competence of LLMs has been enhanced through experience-based learning, supported by human feedback. Nevertheless, LLMs’ moral development through RLHF remains constrained and does not reach the character stage described by Dewey, possibly due to their lack of self-consciousness. This fundamental difference between humans and LLMs underscores both the limitations of LLMs’ moral growth and the challenges of applying RLHF for AI alignment. It also emphasizes the need for external societal governance and legal regulation. (shrink)

Precision medicine (PM) aims to revolutionise healthcare, but little is known about the role religion and spirituality might play in the ethical discourse about PM. This Perspective reports the outcomes of a knowledge exchange fora with religious authorities in Singapore about data sharing for PM. While the exchange did not identify any foundational religious objections to PM, ethical concerns were raised about the possibility for private industry to profiteer from social resources and the potential for genetic discrimination by private health (...) insurers. According to religious authorities in Singapore, sharing PM data with private industry will require a clear public benefit and robust data governance that incorporates principles of transparency, accountability and oversight. (shrink)

New technologies are transforming and reconfiguring the boundaries between patients, research participants and consumers, between research and clinical practice, and between public and private domains. From personalised medicine to big data and social media, these platforms facilitate new kinds of interactions, challenge longstanding understandings of privacy and consent, and raise fundamental questions about how the translational patient pathway should be organised.This editorial introduces the cross-journal article collection "Translation in healthcare: ethical, legal, and social implications", briefly outlining the genesis of the (...) collection in the 2015 Translation in healthcare conference in Oxford, UK and providing an introduction to the contemporary ethical challenges of translational research in biology and medicine accompanied by a summary of the papers included in this collection. (shrink)

Megaprojects are implemented by different organisations, such as owners, consultants, and contractors. Gradually, these organisations and their connections can form business networks that influence both the market position of individual organisations and project performance. Previous research on large-scale projects mainly focused on static and homogeneous networks that were constructed by one individual project and/or carried out over one-off collaboration. However, this neglected the consideration of project network diversity, as well as repetitive, dynamic, cross-project coopetition relationship and long-term business networks formed (...) by key actors. Here, we chose Chinese skyscrapers over 300 meters that were built from 1996 to 2015 as typical megaproject cases and analysed the formation and evolution of megaproject business networks from the perspective of interorganisational coopetition. We identified the key actors involved and empirically studied their dynamic network positions over time. The main contributions of this study are threefold. First, we found that past collaboration experience has direct and dynamic impacts on the formation of megaproject business networks. Second, we identified key actors in the interorganisational business network and unveiled their dynamic positions with clear patterns. Third, we highlighted the temporal-spatial effect on the formation and development of business networks, alongside developments in the megaproject market. The findings of this study also provide practical applications for owners to choose collaboration partners and to build high-performance teams and for suppliers to enter and sustain the business in the megaprojects networks. (shrink)

Food prices are a daily concern in many households’ decision-making, especially when people want to have healthier diets. Employing Bayesian Mindsponge Framework (BMF) analytics on a dataset of 710 Indonesian citizens, we found that people from wealthier households are less likely to have concerns about food prices. However, the degree of health considerations in food consumption was found to moderate against the above association. In other words, people of higher income-based social classes may worry more about food prices if they (...) care more about the health impacts of their food choices. These findings provide more insights for policymakers on the psychological aspects of promoting the balance between finance and health in food consumption. (shrink)

Legal Judgment Prediction (LJP) is a typical application of Artificial Intelligence in the intelligent judiciary. Current research primarily focuses on automatically predicting law articles, charges, and terms of penalty based on the fact description of cases. However, existing methods for LJP have limitations, such as neglecting document structure and ignoring case similarities. We propose a novel framework called Graph Contrastive Learning with Augmentation (GCLA) for legal judgment prediction to address these issues. GCLA constructs trainable document-level graphs for fact description, capturing (...) local and global context through sentence-level subgraphs. Graph augmentation enhances robustness. We introduce a comparison case relation perspective, using graph contrastive learning to model case-text label relationships effectively. Experimental results on real-world datasets demonstrate the competitive performance of GCLA. (shrink)

Until recently, medicine has had little to offer most of the millions of patients suffering from rare and ultrarare genetic conditions. But the development in 2019 of Milasen, the first genetic intervention developed for and administered to a single patient suffering from an ultrarare genetic disorder, has offered hope to patients and families. In addition, Milasen raised a series of conceptual and ethical questions about how individualised genetic interventions should be developed, assessed for safety and efficacy and financially supported. The (...) answers to these questions depend in large part on whether individualised therapies are understood as human subjects research or clinical innovation, different domains of biomedicine that are regulated by different modes of oversight, funding and professional norms. In this article, with development and administration of the drug Milasen as our case study, we argue that at least some individualised genetic therapies are not, as some have argued, either research or treatment. Instead, they are research-treatment hybrids, a category that has both epistemological and pragmatic repercussions for funding, ethics oversight and regulation. (shrink)

River water pollution by wastewater can cause significant negative impact on the aquatic sustainability. Hence, accurate modeling of this complicated system and its cost-effective treatment and reuse decision is very important because this optimization process is related to economic expenditure, societal health, and environmental deterioration. In order to optimize this complex system, we may consider three treatment or reuse options such as microscreening filtration, nitrification, and fertilization-oriented irrigation on top of two existing options such as settling and biological oxidation. The (...) objective of this environmental optimization is to minimize the economic expenditure of life cycle costs while satisfying the public health standard in terms of groundwater quality and the environmental standard in terms of river water quality. Particularly, this study improves existing optimization model by pinpointing the critical deficit location of dissolved oxygen sag curve by using analytic differentiation. Also, the proposed formulation considers more practical constraints such as maximal size of irrigation area and minimal amount of filtration treatment process. The results obtained by using an evolutionary algorithm, named a parameter-setting-free harmony search algorithm, show that the proposed model successfully finds optimal solutions while conveniently locating the critical deficit point. (shrink)

The integration of genomics into public health and medicine is happening at a faster rate than the accrual of the capabilities necessary to ensure the equitable, global distribution of its clinical benefits. Uneven access to genetic testing and follow‐up care, unequal distribution of the resources required to access and participate in research, and underrepresentation of some descent groups in genetic and clinical datasets (and thus uncertain genetic results for some patients) are just some of the reasons to center justice in (...) genomics. A more just genomics is an imperative rooted in the ethical obligations incurred by a publicly funded science that is reliant on human data. These features of genomics indebt the genomics enterprise and compel the expanded scope of responsibility proposed by the authors of this special report. The report begins to define justice in genomics for different stakeholder groups and proposes substantial shifts in power, resource distribution, scientific practice, and governance that could enable genomics to meet its obligations to humanity. (shrink)

This paper elucidates and rationalizes the ethical governance system for healthcare AI research, as outlined in the ‘Research Ethics Guidelines for AI Researchers in Healthcare’ published by the South Korean government in August 2023. In developing the guidelines, a four-phase clinical trial process was expanded to six stages for healthcare AI research: preliminary ethics review (stage 1); creating datasets (stage 2); model development (stage 3); training, validation, and evaluation (stage 4); application (stage 5); and post-deployment monitoring (stage 6). Researchers identified (...) similarities between clinical trials and healthcare AI research, particularly in research subjects, management and regulations, and application of research results. In the step-by-step articulation of ethical requirements, this similarity benefits from a reliable and flexible use of existing research ethics governance resources, research management, and regulatory functions. In contrast to clinical trials, this procedural approach to healthcare AI research governance effectively highlights the distinct characteristics of healthcare AI research in research and development process, evaluation of results, and modifiability of findings. The model exhibits limitations, primarily in its reliance on self-regulation and lack of clear delineation of responsibilities. While formulated through multidisciplinary deliberations, its application in the research field remains untested. To overcome the limitations, the researchers’ ongoing efforts for educating AI researchers and public and the revision of the guidelines are expected to contribute to establish an ethical research governance framework for healthcare AI research in the South Korean context in the future. (shrink)