Business Ethics, the Environment &Responsibility, Volume 31, Issue 4, Page 999-1013, October 2022.

Entrepreneurship education has a lot of research on influencing factors of entrepreneurial intention but rarely studies the influence mechanism of emotional competences on entrepreneurial intention from the perspective of social entrepreneurship. This article takes college students’ social entrepreneurs as research objects, drawing on Krueger’s model, theory of planned behavior, social cognitive theory, and triadic reciprocal determinism theory. This paper constructs a conceptual model with emotional ability, entrepreneurial self-efficacy, and entrepreneurial intention, to further study their relationship. The 312 students from China (...) College Students’ Social Entrepreneurship Project engaged in early entrepreneurship practice, conducted a questionnaire survey and used the empirical test of the structural equation model to analyze the relationship between college students’ emotional competences, entrepreneurial self-efficacy, and entrepreneurial intention. The result show: First, social–emotional competence had a positive effect on entrepreneurial intention, and the positive effect of personal affective competence on entrepreneurial intention was not supported or only partially supported. Second, all the dimensions of entrepreneurial self-efficacy were significantly and positively correlated with entrepreneurial intention. Third, emotional competence has a significant positive impact on entrepreneurial self-efficacy. Fourth, entrepreneurial self-efficacy mediated the relationship between emotional competence and entrepreneurial intention. (shrink)

This study deals with the problem of radar waveform design based on the weighted mutual information and the difference of two mutual information metrics in signal-dependent interference. Since the target and clutter information are included in the received signal at the beginning of the design, DMI-based waveform is designed according to the following criterion: maximizing the MI between the received signal and target impulse response while minimizing the MI between the received signal and the clutter impulse response. This criterion is (...) equivalent to maximizing the difference between the first MI and the second MI. Then maximizing the difference of two types of MI is used as the objective function, and the optimization model with the transmitted waveform energy constraint is established. In order to solve it, we resort to maximum marginal allocation method to find the DMI-based waveform. Since DMI-based waveform does not allocate energy to the frequency band where the clutter power spectral density is greater than the target PSD, we propose to weight the MI-based waveform and DMI-based waveform to synthesize the final optimal waveform. It could provide different trade-offs between two types of MI. Simulation results show the proposed algorithm is valid. (shrink)

A 2011 National Academies of Sciences report called for an “Information Commons” and a “Knowledge Network” to revolutionize biomedical research and clinical care. We interviewed 41 expert stakeholders to examine governance, access, data collection, and privacy in the context of a medical information commons. Stakeholders' attitudes about MICs align with the NAS vision of an Information Commons; however, differences of opinion regarding clinical use and access warrant further research to explore policy and technological solutions.

Cybersecurity research often describes people as understanding internet security in terms of metaphorical mental models (e.g., disease risk, physical security risk, or criminal behavior risk). However, little research has directly evaluated if this is an accurate or productive framework. To assess this question, two experiments asked participants to respond to a statistical reasoning task framed in one of four different contexts (cybersecurity, plus the above alternative models). Each context was also presented using either percentages or natural frequencies, and these tasks (...) were followed by a behavioral likelihood rating. As in previous research, consistent use of natural frequencies promoted correct Bayesian reasoning. There was little indication, however, that any of the alternative mental models generated consistently better understanding or reasoning over the actual cybersecurity context. There was some evidence that different models had some effects on patterns of responses, including the behavioral likelihood ratings, but these effects were small, as compared to the effect of the numerical format manipulation. This points to a need to improve the content of actual internet security warnings, rather than working to change the models users have of warnings. (shrink)

Python language has become the most popular computer language. Python is widely adopted in computer courses. However, Python language’s effects on the college and university students’ learning performance, motivations, computer programming self-efficacy, and maladaptive cognition have still not been widely examined. The main objective of this study is to explore the effects of learning Python on students’ programming learning. The junior students of two classes in a college are the research participants. One class was taught Java language and the other (...) class was taught Python language. The learning performance, motivations, and maladaptive cognition in the two classes were compared to evaluate the differences. The results showed that the motivations, computer programming self-efficacy, and maladaptive cognition on the learning performance were significant in the Python class. The results and findings of this study can be used in Python course arrangement and development. (shrink)

Although considerable research indicates that mental energy is an important factor in many domains, including athletic performance (Cook & Davis, 2006), athletic mental energy (AME) has never been conceptualized and measured. Therefore, the aim of this study was to conceptualize and develop a reliable and valid instrument to assess athletic mental energy. In Study 1, a focus group interview established the initial framework of athletic mental energy. Study 2 used a survey to collect athletes’ experiences of athletic mental energy and (...) develop a scale draft titled “Athletic Mental Energy Scale (AMES).” In Study 3, we examined the psychometric properties and the underlying structure of AMES via item analysis, internal consistency, and exploratory factor analysis (EFA). In Study 4, we used confirmatory factor analysis (CFA) to examine AMES’s factorial validity; and examined concurrent and discriminant validity by examining correlations with athletes’ life stress, positive state of mind, and burnout. In study 5, we examined the measurement invariance of the 6-factor, 18-item AMES with Taiwanese and Malaysian samples. Study 6 examined the predictive validity by comparing AMES scores of successful and unsuccessful martial artists. Across these phases, results showed a 6-factor, 18-item AMES had adequate content validity, factorial structure, nomological validity, discriminant validity, predictive validity, measurement invariance, and reliability. We suggest future studies may use AMES to examine its relationships with athletes’ cognition, affect, and performance. The application of AMES in sport psychology was also discussed. (shrink)

Emotion recognition plays an important part in human-computer interaction. Currently, the main challenge in electroencephalogram -based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose a two-level domain adaptation neural network to construct a transfer model for EEG-based emotion recognition. Specifically, deep features from the topological graph, which preserve topological information from EEG signals, are extracted using a deep neural network. These features are then passed through (...) TDANN for two-level domain confusion. The first level uses the maximum mean discrepancy to reduce the distribution discrepancy of deep features between source domain and target domain, and the second uses the domain adversarial neural network to force the deep features closer to their corresponding class centers. We evaluated the domain-transfer performance of the model on both our self-built data set and the public data set SEED. In the cross-day transfer experiment, the ability to accurately discriminate joy from other emotions was high: sadness, anger, and fear on the self-built data set. The accuracy reached 74.93% on the SEED data set. In the cross-subject transfer experiment, the ability to accurately discriminate joy from other emotions was equally high: sadness, anger, and fear on the self-built data set. The average accuracy reached 87.9% on the SEED data set, which was higher than WGAN-DA. The experimental results demonstrate that the proposed TDANN can effectively handle the domain transfer problem in EEG-based emotion recognition. (shrink)

Background Supporting physicians in Intensive Care Units s as they face dying patients at unprecedented levels due to the COVID-19 pandemic is critical. Amidst a dearth of such data and guided by evidence that nurses in ICUs experience personal, professional and existential issues in similar conditions, a systematic scoping review is proposed to evaluate prevailing accounts of physicians facing dying patients in ICUs through the lens of Personhood. Such data would enhance understanding and guide the provision of better support for (...) ICU physicians. Methods An SSR adopts the Systematic Evidenced Based Approach to map prevailing accounts of caring for dying patients in ICUs. To enhance the transparency and reproducibility of this process, concurrent and independent use of tabulated summaries, thematic analysis and directed content analysis is adopted. Results Eight thousand three hundred fifty-eight abstracts were reviewed from four databases, 474 full-text articles were evaluated, 58 articles were included, and the Split Approach revealed six categories/themes centered around the Innate, Individual, Relational and Societal Rings of Personhood, conflicts in providing end of life care and coping mechanisms employed. Conclusion This SSR suggests that caring for dying patients in ICU impacts how physicians view their personhood. To resolve conflicts within individual concepts of personhood, physicians use prioritization, reframing and rely on accessible, personalized support from colleagues to steer coping strategies. An adapted form of the Ring Theory of Personhood is proposed to direct timely personalized, appropriate and holistic support. (shrink)

This co-edited volume compares Chinese and Western experiences of engineering, technology, and development. In doing so, it builds a bridge between the East and West and advances a dialogue in the philosophy of engineering. Divided into three parts, the book starts with studies on epistemological and ontological issues, with a special focus on engineering design, creativity, management, feasibility, and sustainability. Part II considers relationships between the history and philosophy of engineering, and includes a general argument for the necessity of dialogue (...) between history and philosophy. It continues with a general introduction to traditional Chinese attitudes toward engineering and technology, and philosophical case studies of the Chinese steel industry, railroads, and cybernetics in the Soviet Union. Part III focuses on engineering, ethics, and society, with chapters on engineering education and practice in China and the West. The book’s analyses of the interactions of science, engineering, ethics, politics, and policy in different societal contexts are of special interest. The volume as a whole marks a new stage in the emergence of the philosophy of engineering as a new regionalization of philosophy. This carefully edited interdisciplinary volume grew out of an international conference on the philosophy of engineering hosted by the University of the Chinese Academy of Sciences in Beijing. It includes 30 contributions by leading philosophers, social scientists, and engineers from Australia, China, Europe, and the United States. (shrink)

This study attempts to identify customer retention strategies for legal software and discusses their effectiveness for three consumer groups (stayers, dissatisfied switchers, and satisfied switchers). Although previous studies propose several antipirating strategies, they do not discuss how to enhance customer intentions to use legal software, which is crucial for software companies. The authors provide four generic retention strategies developed from both antipiracy and customer loyalty literature. The results indicate lower-pricing, legal, communication, and product strategies all enhance customer purchase intentions toward (...) legal software. The lower-pricing strategy is more useful for stayers and dissatisfied switchers, and the communication strategy is most useful for dissatisfied switchers. Both the legal and product strategies have similar impacts on purchase intentions across the three segments. From a firm perspective, a product strategy is most worthwhile and useful across all segments. (shrink)

This paper selected Vanke as the case to study the governance problems of Vanke and the protection of the interests of small and medium shareholders under the situation of equity disputes. At the same time, the study further explored the advantages and disadvantages of the dispersed ownership structure, the long-term impact on the company’s development and the choice of the involved corporate governance methods under the current Chinese capital market conditions. This paper adopted the event research method and selected the (...) period from June 2015 to June 2017 as the observation period to analyze the market performance impact of Vanke in the equity disputes. At the same time, this paper also measured Vanke’s individual stock rate of return and market rate of return, and calculated Vanke’s normal rate of return [E], abnormal rate of return, and cumulative abnormal rate of return during different event windows. Vanke’s shareholding was too dispersed and the stock price had been sluggish for a long time, which had greatly reduced the acquisition difficulty and cost of Baoneng, thus triggering the “barbarian invasion” of Baoneng. In the struggle for control, whether it was Vanke’s anti-takeover measures or China Resources, Baoneng, and Evergrande’s competition for equity, their actions had harmed the interests of small and medium shareholders. The market supervision department was too lenient to supervise and punish the interests of small and medium shareholders, and opportunism made behaviors that infringe on the interests of others more reckless. However, small and medium shareholders cannot actively participate in the company’s management decision-making to safeguard their legitimate rights and interests, which intensifies the violations of all parties in the equity disputes, thus forming a vicious circle. Therefore, the protection of the interests of small and medium shareholders required the joint efforts and consciousness of regulators, small and medium shareholders, and acquirers. (shrink)

This comprehensive volume features the proceedings of the Third International Workshop on Logics for New-Generation Artificial Intelligence and the International Workshop on Logic, AI and Law, held in Hangzhou, China on September 8-9 and 11-12, 2023. The collection offers a diverse range of papers that explore the intersection of logic, artificial intelligence, and law. With contributions from some of the leading experts in the field, this volume provides insights into the latest research and developments in the applications of logic in (...) these areas. It is an essential resource for researchers, practitioners, and students interested in the latest advancements in logic and its applications to artificial intelligence and law. (shrink)