本书介绍了经济伦理学的冲撞与整合、历史的探源、利己与利他、自律与他律、公平交易、公平分配等八章内容。.

This study examines the mediating role of rumination, state anger, and blame attribution, and the moderating role of trait forgiveness in the relationship between workplace harassment intensity and revenge among employed students at a medium-sized Midwestern U.S. university and full-time employees from various industries in Shanghai, China. We tested the proposed model using techniques described by Hayes. Results within both samples suggested that workplace harassment intensity is positively associated with both major and minor revenge. Results of multiple mediation tests showed (...) that state anger and blame attribution mediated the relationships between workplace harassment intensity and both types of revenge behavior. Furthermore, trait forgiveness moderated the relationship between blame attribution and major revenge. (shrink)

There has been much research into teacher beliefs about teaching and learning as seen in the general teacher education literature. In the field of language teacher education, this line of research has been evolving, with the recent trend being streamlined into “teacher cognition” as a generic or umbrella term. Despite increasing amounts of research output so far, research into foreign language teachers’ cognitions about their own teaching and decision-making is still insufficient, particularly with regard to university-level English-as-a-foreign-language (EFL) teachers in (...) China. Drawing on Vygotsky’s Sociocultural Theory, this qualitative research focused on EFL teachers’ cognitions about form-focused instruction in Chinese university settings. It intended to discover how teachers’ cognitions changed when they were expected to teach in actual classrooms and what factors contributed to these changes. Data collected from four teacher-participants through semi-structured interviews, classroom observations and follow-up stimulated recall interviews showed participants’ support forfocus-on-forminstruction, which means they not only paid attention to the grammatical form of the language but also to the meaning it is intended to convey. However, data also showed that the teacher-participants shifted fromfocus-on-formtofocus-on-formSinstruction in actual teaching, which suggests that they might have realized the challenges of carrying out teaching activities surroundingfocus-on-formand would like to take an easier approach by only teaching the grammar of the language byfocusing on formS. Such incongruences are interpreted with reference to a plethora of sociocultural factors including traditional Chinese thinking and institutional expectations. The implications of the findings for stakeholders in universities, including faculty members, students, and curriculum developers in similar contexts, are also discussed. (shrink)

本书内容包括:商鞅大有作为的一生、改革家商鞅、思想家商鞅、军事家商鞅、商鞅的为人、商鞅的历史地位和影响等.

The bamboo slip essay Hengxian 恒先 is historically valuable because it serves to further the ontological understanding and comprehension of issues related to the existence of the universe from the perspective of Laozi's Daoist thought. Hengxian explores important propositions such as how "Qi originated and activated itself and "they came out of the same source but differed in nature" from several aspects. The idea that "Hengxian is ' being' without any defmiteness" responds to the issue of the relationship of difference (...) and identity of all things in the world, and thus examines the interdependent relationships between subjects and objects. It proposes that humans can further understand the existence of the universe through cognitive activities and practices such as "analysis and comparison" in which objective realities are checked. The issues discussed in Hengxian are consistent with Laozi's Dao de jing, the works of Zhuangzi, Huangdi sijing 黄帝四经 (The Four Classics from the Emperor Yellow) and other Daoist works, and deserve significant attention. /// 摘要竹书 "恒先" 的历史价值在于以存在论的立场，深化了老子开创的道家思想 学说对于宇宙存在问题的认识理解。"恒先无有" 因通过 "气是自生自作" 与 "同 出而异性" 等重要命题的多方面阐释，回答了宇宙万物差别与同一关系问题，并且 以此为依据考察了主客体之间的依存关系，认为人类可以通过 "校比" 的认识实践 活动，与客观存在相对照检验，实现对宇宙存在的洞察。所论与老子 "道德经" 以 及庄学、"黄帝四经" 等多有一致之处，非常值得重视。. (shrink)

During late embryonic and early postnatal development, synaptic connections are extensively modified so that some functional connections are weakened and eliminated from a neural circuit while others are strengthened and maintained. The mechanisms that underlie synapse elimination are beginning to be understood from studies of the neuromuscular junction. A recent paper(1) provides some intriguing insights into the role proteases may play in the developmental disassembly of neuromuscular synapses.

自由民主体制是一个值得不断诠释、反省、改进的社会制度。本书从政治思想的角度切入,分析西方自由民主体制的渊源、发展与困境。.

本书内容包括:论计算机网络犯罪现状、民法中的法律行为概念之界定、浅论国家控制力与行政法改革、从国际法谈两岸关系等。.

Motion pose capture technology can effectively solve the problem of difficulty in defining character motion in the process of 3D animation production and greatly reduce the workload of character motion control, thereby improving the efficiency of animation development and the fidelity of character motion. Motion gesture capture technology is widely used in virtual reality systems, virtual training grounds, and real-time tracking of the motion trajectories of general objects. This paper proposes an attitude estimation algorithm adapted to be embedded. The previous (...) centralized Kalman filter is divided into two-step Kalman filtering. According to the different characteristics of the sensors, they are processed separately to isolate the cross-influence between sensors. An adaptive adjustment method based on fuzzy logic is proposed. The acceleration, angular velocity, and geomagnetic field strength of the environment are used as the input of fuzzy logic to judge the motion state of the carrier and then adjust the covariance matrix of the filter. The adaptive adjustment of the sensor is converted to the recognition of the motion state. For the study of human motion posture capture, this paper designs a verification experiment based on the existing robotic arm in the laboratory. The experiment shows that the studied motion posture capture method has better performance. The human body motion gesture is designed for capturing experiments, and the capture results show that the obtained pose angle information can better restore the human body motion. A visual model of human motion posture capture was established, and after comparing and analyzing with the real situation, it was found that the simulation approach reproduced the motion process of human motion well. For the research of human motion recognition, this paper designs a two-classification model and human daily behaviors for experiments. Experiments show that the accuracy of the two-category human motion gesture capture and recognition has achieved good results. The experimental effect of SVC on the recognition of two classifications is excellent. In the case of using all optimization algorithms, the accuracy rate is higher than 90%, and the final recognition accuracy rate is also higher than 90%. In terms of recognition time, the time required for human motion gesture capture and recognition is less than 2 s. (shrink)

To obtain effective fusion results of multi source evidences with different importance, an evidence fusion method with importance discounting factors based on neutrosopic probability analysis in DSmT framework is proposed. First, the reasonable evidence sources are selected out based on the statistical analysis of the pignistic probability functions of single focal elements. Secondly, the neutrosophic probability analysis is conducted based on the similarities of the pignistic probability functions from the prior evidence knowledge of the reasonable evidence sources. Thirdly, the importance (...) discounting factors of the reasonable evidence sources are obtained based on the neutrosophic probability analysis and the reliability discounting factors of the real-time evidences are calculated based on probabilistic-based distances. Fourthly, the real-time evidences are discounted by the importance discounting factors and then the evidences with the mass assignments of neutrosophic empty sets are discounted by the reliability discounting factors. Finally, DSmT+PCR5 of importance discounted evidences is applied. Experimental examples show that the decision results based on the proposed fusion method are different from the results based on the existed fusion methods. Simulation experiments of recognition fusion are performed and the superiority of proposed method is testified well by the simulation results. (shrink)

In recent years, the analysis of legal judgments and the prediction of outcomes based on case factual descriptions have become hot research topics in the field of judiciary. Among them, the task of charge prediction aims to predict the applicable charges of a judicial case based on its factual description, making it an important research area in the intelligent judiciary. While significant progress has been made in machine learning and deep learning, traditional methods are limited to handling data in Euclidean (...) space and cannot effectively capture the semantic information in the text. To overcome the limitations of traditional learning approaches, many studies have started exploring the use of graphs to represent rich relationships between entities in text and employing graph convolutional neural networks to learn text representations. In this paper, we propose a charge prediction method based on graph convolutional neural networks. By constructing a similarity graph between cases and utilizing graph convolutional neural networks to learn case feature representations, we can better capture the relational information between cases and improve the accuracy of charge prediction. Experimental results on multiple benchmark datasets demonstrate that our proposed model outperforms traditional methods in charge prediction tasks. (shrink)

Despite the bombardment of AI ethics frameworks (AIEFs) published in the last decade, it is unclear which of the many have been adopted in the industry. What is more, the sheer volume of AIEFs without a clear demonstration of their effectiveness makes it difficult for businesses to select which framework they should adopt. As a first step toward addressing this problem, we employed four different existing frameworks to assess AI ethics concerns of a real-world AI system. We compared the experience (...) of applying the AIEFs from the perspective of (a) a third-party auditor conducting an AI ethics risk assessment for the company, and (b) the company receiving the audit outcomes. Our results suggest that the feel-good factor of doing an assessment is common across the AIEFs that can take anywhere between 1.5 and 20 h to complete. However, each framework provides different benefits (e.g., issue discovery vs. issue monitoring) and is likely best used in conjunction with one another at different stages of an AI development process. As such, we call on the AI ethics community to better specify the suitability and expected benefits of existing frameworks to enable better adoption of AI ethics practice in the industry. (shrink)

PurposeThe primary angle-closure glaucoma is an irreversible blinding eye disease in the world. Previous neuroimaging studies demonstrated that PACG patients were associated with cerebral changes. However, the effect of optic atrophy on local and remote brain functional connectivity in PACG patients remains unknown.Materials and MethodsIn total, 23 patients with PACG and 23 well-matched Health Controls were enrolled in our study and underwent resting-state functional magnetic resonance imaging scanning. The regional homogeneity method and functional connectivity method were used to evaluate the (...) local and remote brain functional connectivity. Moreover, support vector machine method was applied to constructing PACG classification model.ResultsCompared with the HC, PACG patients showed increased ReHo values in right cerebellum _8, left CER_4-5, and right CER_8. In contrast, PACG patients showed decreased ReHo values in the bilateral lingual gyrus /calcarine /superior occipital gyrus and right postcentral gyrus. The ReHo value exhibited an accuracy of 91.30% and area under curve of 0.95 for distinguishing the PACG patients from HC.ConclusionOur study demonstrated that the PACG patients showed abnormal ReHo value in the cerebellum, visual cortex, and supplementary motor area, which might be reflect the neurological mechanisms underlying vision loss and eye pain in PACG patients. Moreover, the ReHo values can be used as a useful biomarker for distinguishing the PACG patients from HCs. (shrink)

Mental illness stigma is imposed on patients in mental illness stigma mark, mainly referring to the disease and psychological stereotypes lead to the loss of social status and discrimination. Study confirmed the existence of stigma would prevent the patient's treatment and rehabilitation, stigma issues resulting widespread concern in the world health community, which is a hotspot of research on the impact of stigma. Labeling theory and theories of stigma affect the correct label for the analysis of the mechanism; stigma of (...) mental illness and related populations of the various effects can be measured in two ways: public stigma and self-stigma; protest, education and exposure is to reduce the stigma effective way. Chinese culture in the future to carry out the stigma of mental illness, should be closely combined with the stigma of traditional culture analysis of the impact mechanism, and should explore the feasibility of stigma strategies. Mental illness stigma is an ashamed mark attached to people with mental illness, which is the status loss and discrimination triggered by negative stereotypes about people labeled as having mental illness. Some researches have showed that stigma may impede the treating and rehabilitating process of clients. The effect of mental illness stigma is currently a hot subject of research. Labeling theory and modified labeling theory are both the theories of the mechanism of the effect of stigma. Researchers investigate the effects of stigma and the ways of diminishing it from two aspects: public- stigma and self-stigma. The future research orientations in China should be combined with culture analysis. (shrink)

Background Social responsibility can motivate disaster relief nurses to devote themselves to safeguarding rights and interests of people when facing challenges that threaten public health. However, few studies focused on the relationship of moral courage, job-esteem, and social responsibility among disaster relief nurses. Objective To explore the influence of moral courage and job-esteem on the social responsibility in disaster relief nurses and clarify the relationship model between them. Methods A cross-sectional study was conducted among 716 disaster relief nurses from 14 (...) hospitals in central China through an online survey, including moral courage scale, job-esteem scale, and social responsibility questionnaire. The data were analyzed by Pearson’s correlation, and the mechanism of the effect of moral courage and job-esteem on social responsibility was completed. Ethical considerations This study was approved by the Medical Ethics Committee of the Second Xiangya Hospital of Central South University (Approval Number: 2019016). Results Disaster relief nurses’ moral courage positively impacted social responsibility (r = 0.677, p < 0.01), and moral courage could affect social responsibility through the mediating role of job-esteem. Conclusion Job-esteem mediated between moral courage and social responsibility among disaster relief nurses. Nursing managers regular assessment of nurses’ moral courage and interventions such as meetings and workshops can reduce moral distress, foster morally courageous behavior, enhance job-esteem, and improve social responsibility performance among disaster relief nurses. (shrink)

ObjectivesSeveral studies have examined the effects of repetitive transcranial magnetic stimulation (rTMS) on associative memory (AM) but findings were inconsistent. Here, we aimed to test whether twice-daily rTMS could significantly improve AM.MethodsIn this single-blind, sham-controlled experiment, 40 participants were randomized to receive twice-daily sham or real rTMS sessions for five consecutive days (a total of 16,000 pulses). The stimulation target in left inferior parietal lobule (IPL) exhibiting peak functional connectivity to the left hippocampus was individually defined for each participant. Participants (...) completed both a picture-cued word association task and Stroop test at baseline and 1 day after the final real or sham rTMS session. Effects of twice-daily rTMS on AM and Stroop test performance were compared using two-way repeated measures analysis of variance with main factors Group (real vs. sham) and Time (baseline vs. post-rTMS).ResultsThere was a significant Group × Time interaction effect. AM score was significantly enhanced in the twice-daily real group after rTMS, but this difference could not survive the post hoc analysis after multiple comparison correction. Further, AM improvement in the twice-daily real group was not superior to a previously reported once-daily rTMS group receiving 8,000 pulses. Then, we combined the twice- and once-daily real groups, and found a significant Group × Time interaction effect. Post hoc analysis indicated that the AM score was significantly enhanced in the real group after multiple comparisons correction.ConclusionOur prospective experiment did not show significant rTMS effect on AM, but this effect may become significant if more participants could be recruited as revealed by our retrospective analysis. (shrink)

Background The ethical competence of head nurses plays a pivotal role in nursing ethics. Ethical climate is a prerequisite for ethical competence, and moral resilience can positively influence an individual’s ethical competence. However, few studies have focused on the relationship between ethical climate, moral resilience, and ethical competence among them. Objectives To investigate the relationship between ethical climate, moral resilience, and ethical competence, and examine the mediating role of moral resilience between ethical climate and ethical competence among head nurses. Design (...) A quantitative, cross-sectional study. Methods A total of 309 Chinese head nurses completed an online survey, including ethical climate questionnaire, Rushton moral resilience scale, and ethical competence questionnaire. Inferential statistical analysis includes Pearson’s correlation and a structural equation model. Ethical considerations This study received ethical approval from the Institutional Review Board of Xiangya Nursing School of Central South University (No. E2023146). Results Head nurses’ ethical climate score positively impacted ethical competence (r = 0.208, p <.001), and ethical climate could affect ethical competence through the mediating role of moral resilience. Conclusion This study emphasized the value of ethical climate in moral resilience of head nurses, ultimately leading to an enhancement in their ethical competence. (shrink)

Fully embracing previous achievements in the research of Taoist philosophy, this paper attempts to create a sound analysis and investigation of the value concern of Taoism and reconstruct a new set of Taoist philosophy conforming to the requirement of modern science from the perspective of modern philosophy. The author sincerely wishes that the preliminary understanding of the Taoist philosophy presented in this paper would contribute to the construction of the Taoist philosophy.

国家哲学社会科学创新基地浙江大学语言与认知研究中心研究成果中国博士后科学基金资助.

In the context of coronavirus pandemic, the face-recognition-based access control system has been intensively adopted to protect students’ and teachers’ health and safety in school. However, the impact of FACS, as a new technology, on students’ attitude toward accepting FACS has remained unknown from the psychological halo effect. Drawn on “halo effect” theory where psychological effects affect the sense of social identity and belonging, the present study explored college students’ sense of school identity and belonging in using FACS during COVID-19 (...) based on the technology acceptance model. Data collected from 391 college students was analyzed using SEM to verify the relationship among perceived usefulness, perceived ease of use, intention to use, school identity, and school belonging. The results show that PU and PEU can positively predict IU, and consequentially can positively predict school identity and school belonging. Our study expands the application of halo effect theory to study FACS acceptance based on TAM, and provides strong evidence to support the effect of school FACS during the pandemic. The findings of this study also suggest that FACS acceptance can enhance students’ sense of school identity and belonging. (shrink)

Brain structural covariance network can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders. Recently, causal analysis of structural covariance network, winner-take-all and cortex–subcortex covariance network, and modulation analysis of structural covariance network have expended the technology breadth of SCN. However, the lack of user-friendly software limited the further application of SCN for the research. In this work, we developed the graphical user interface toolkit of brain structural (...) covariance connectivity based on MATLAB platform. The software contained the analysis of SCN, CaSCN, MOD-SCN, and WTA-CSSCN. Also, the group comparison and result-showing modules were included in the software. Furthermore, a simple showing of demo dataset was presented in the work. We hope that the toolkit could help the researchers, especially clinical researchers, to do the brain covariance connectivity analysis in further work more easily. (shrink)

本书以政治科学的基础理论为核心,以当代思想和思维水平为支持,批判性地系统阐述了基础理论研究在政治知识求取中的重要地位和作用,涉及政治科学的学科论、范式论、方法论和范畴论四个论题,指出回归基础理论的研究 是当今政治科学繁荣的根本途径。.

本书以政治科学的基础理论为核心,以当代思想和思维水平为支持,批判性地系统阐述了基础理论研究在政治知识求取中的重要地位和作用,涉及政治科学的学科论、范式论、方法论和范畴论四个论题,指出回归基础理论的研究 是当今政治科学繁荣的根本途径。.

Purpose: We aimed to find out the distributed functional connectome of white matter in patients with functional dyspepsia.Methods: 20 patients with FD and 24 age- and gender-matched healthy controls were included into the study. The functional connectome of white matter and graph theory were used to these participants. Two-sample t-test was used for the detection the abnormal graph properties in FD. Pearson correlation was used for the relationship between properties and the clinical and neuropshychological information.Results: Patients with FD and healthy (...) controls showed small-world properties in functional connectome of white matter. Compared with healthy controls, the FD group showed decreased global properties. Four pairs of fiber bundles that are connected to the frontal lobe, insula, and thalamus were affected in the FD group. Duration and Pittsburgh Sleep Quality Index positively correlated with the betweenness centrality of white matter regions of interest.Conclusion: FD patients turned to a non-optimized functional organization of WM brain network. Frontal lobe, insula, and thalamus were key regions in brain information exchange of FD. It provided some novel imaging evidences for the mechanism of FD. (shrink)

Climate change and farming malpractices are harmful to the globe's productive soil and biodiversity, thereby posing a hazard to the survival of future generations. Innovative technologies provide continuous smart conservation solutions, such as regenerative farming, to confront the ongoing climate crisis and maintain biodiversity. Albeit, regenerative farming has the potential to conserve climate change by upgrading the soil's organic materials and reinstating biodiversity leading to carbon attenuation. However, a critical problem remains concerning adapting conservation farming practices that can assist low-income (...) farmers. In this scenario, theoretical-driven communication campaigns are critical for addressing individuals' resistance to innovation. Thereby, this research uncovers the moderating influence of the numerous communication tools in determining the adoption of regenerative farming through diminishing farmers' resistance to innovation. The study employed a cross-sectional design vis-à-vis a survey method. A sample of 863 farmers participated by responding to the self-administrated questionnaire. In line with prior theories, the study's results identified that communication campaigns such as public service advertisements and informative scientific documentaries could reduce the resistance to innovation that increases the attitude toward the adoption of regenerative farming with varied intensity. Besides, informational support also remained a significant contributor in determining the intention to adopt regenerative farming. This specifies that implanting habits of conservation farming requires the initiation of communication campaigns using different media content. These results may be advantageous for policymakers to influence farmers' intentions to adopt regenerative farming. (shrink)

Understanding and solving the psychological health problems of college students have become a focus of social attention. Complex networks have become important tools to study the factors affecting psychological health, and the Gaussian graphical model is often used to estimate psychological networks. However, previous studies leave some gaps to overcome, including the following aspects. When studying networks of subpopulations, the estimation neglects the intrinsic relationships among subpopulations, leading to a large difference between the estimated network and the real network. Because (...) of the high cost, previous psychological surveys often have a small sample size, and the psychological description is insufficient. Here, the intrinsic connections among multiple tasks are used, and multitask machine learning is applied to develop a multitask Gaussian graphical model. The psychological networks of the population and subpopulations are estimated based on psychological questionnaire data. This study is the first to apply a psychological network to such a large-scale college student psychological analysis, and we obtain some interesting results. The model presented here is a dynamic model based on complex networks which predicts individual behavior and provides insight into the intrinsic links among various symptoms. (shrink)

As a NP-hard problem that needs to be solved in real time, the dynamic task allocation problem of unmanned aerial vehicle swarm has gradually become a difficulty and hotspot in the current planning field. Aiming at the problems of poor real-time performance and low quality of the solution in the dynamic task allocation of heterogeneous UAV swarm in uncertain environment, this paper establishes a dynamic task allocation model that can meet the actual needs and uses the binary wolf pack algorithm (...) to solve it, so as to propose a dynamic task allocation method of heterogeneous UAV swarm in uncertain environment. In this method, a dynamic mechanism of attacking while searching and priority attacking of important targets is designed. A dynamic task allocation model of multitarget, multitask, heterogeneous multiaircraft platform and multiconstraint is established based on the target cost-effectiveness ratio and task execution time window. In addition, one-dimensional 0–1 coding method is adopted to encode the task allocation scheme. Furthermore, the wolf pack algorithm is introduced in brief. This paper focuses on the BWPA with the good computational robustness and strong global search ability to solve the dynamic allocation model. According to the simulation results, the designed task allocation method not only has good adaptability to the change of target and UAV number, as well as good stability and scalability, but also can effectively solve the dynamic task allocation problem of heterogeneous UAV swarm in unknown environment. Therefore, the established model and solution method can provide a useful reference for task allocation and other related problems. (shrink)

The product market competition has become a global challenge for business organizations in the challenging and competitive market environment in the influx of the COVID-19 outbreak. The influence of products competition on organizational performance in developed economies has gained scholars’ attention, and numerous studies explored its impacts on business profitability. The existing studies designate mixed findings between the linkage of CSR practices and Chinese business firms’ healthier performance in emerging economies; however, the current global crisis due to the coronavirus has (...) made product market completion fierce, which ultimately affects business firms’ performance. This study focuses on this logical global challenge, investigates the rationale, and examines product-market completion impact on firms’ performance operating in the Chinese markets. The study collected data from the annual reports of Chinese business organizations with A-share listing and registered with the database of China Stock Markets and Accounting Research. The study employed a Generalized Method of Moment technique and investigated the connection between product market competition and Chinese firm performance. The empirical analysis of this study highlights the conclusion that market competition positively and significantly affected business firms’ performance. This study specified that product market competition play a dynamic and indispensable role in achieving healthier firm performance in the Chinese markets. This study provides valuable insights on practical implications and future research directions for the scholars to draw interesting results with new study models. (shrink)