Cardiovascular disease is a major complication of type 2 diabetes mellitus. In addition to traditional risk factors, psychological determinants play an important role in CVD risk. This study applied Deep Neural Network to develop a CVD risk prediction model and explored the bio-psycho-social contributors to the CVD risk among patients with T2DM. From 2017 to 2020, 834 patients with T2DM were recruited from the Department of Endocrinology, Affiliated Hospital of Harbin Medical University, China. In this cross-sectional study, the patients' bio-psycho-social (...) information was collected through clinical examinations and questionnaires. The dataset was randomly split into a 75% train set and a 25% test set. DNN was implemented at the best performance on the train set and applied on the test set. The receiver operating characteristic curve analysis was used to evaluate the model performance. Of participants, 272 were diagnosed with CVD. The developed ensemble model for CVD risk achieved an area under curve score of 0.91, accuracy of 87.50%, sensitivity of 88.06%, and specificity of 87.23%. Among patients with T2DM, the top five predictors in the CVD risk model were body mass index, anxiety, depression, total cholesterol, and systolic blood pressure. In summary, machine learning models can provide an automated identification mechanism for patients at CVD risk. Integrated treatment measures should be taken in health management, including clinical care, mental health improvement, and health behavior promotion. (shrink)

Transformational leadership has been becoming increasingly vital to the provision of high-quality health care, particularly during major public health emergencies. The present study aims to investigate the impact of transformational leadership on physicians’ performance and explore the cross-level underlying mechanisms with achievement motivations and coping styles among Chinese physicians. During 2017–2019, 1,527 physicians of 101 departments were recruited from six hospitals in China with a cluster random sampling method. Participants completed several questionnaires regarding their job performance, achievement motivations, coping styles, (...) and transformational leadership. Multilevel mediation effects were tested using cross-level path analysis. The result of this study indicated that transformational leadership was applied well in Chinese medical settings with a score of 101.56 ± 6.42. The hierarchical linear model showed that transformational leadership had a cross-level direct positive effect on physicians’ performance. Furthermore, results of cross-level path analyses revealed that transformational leadership contributed to physicians’ performance by sequentially influencing achievement motivations first and then coping styles. In addition, the path “transformational leadership → positive coping style → physicians’ performance” showed the strongest cross-level indirect effect. In summary, public health leaders should enhance physicians’ performance by promoting individual development, especially achievement motivation and PC style. (shrink)

本书共收录了丘汉平在《法学杂志》和《东方杂志》等刊物公开发表的法学论文36篇,涉及领域有法理学、法史学、宪法学、民商法学、罗马法、华侨问题等。.

With only two to five slots of visual working memory (VWM), humans are able to quickly solve complex visual problems to near optimal solutions. To explain the paradox between tightly constrained VWM and impressively complex human visual problem‐solving ability, we propose several principles for dynamic VWM allocation. In particular, we propose that complex visual information is represented in a temporal manner using only a few slots of VWM that include global and local visual chunks. We built a model of human (...) traveling salesman problem solving based on these principles of VWM allocation and tested the model with eye‐movement data. Exactly as the model predicted, human eye movements during traveling salesman problem solving have precise quantitative regularities with regard to both the general statistical pattern of attentional fixations and how they vary across individuals with different VWM capacities. Even though VWM capacity is very limited, eye movements dynamically allocate VWM resources to both local and global information, enabling attention to fine details without loss of the big picture. (shrink)

This study aims to explore the promoting effect of the combination of mental health education and ideological and political education for college students on improving their comprehensive psychological quality and ideological and political theoretical level. The research adopts a combination of system analysis methods, experimental methods and clustering algorithms, and conducts course experiments through experimental methods, providing basic data. In the process of the experiment, from the perspective of educational psychology theory, the systematic analysis method is used to distinguish subject (...) and object, and functional analysis is carried out. At the same time, clustering algorithms are used to classify the mental health problems of different students. The research results indicate that in terms of subjectivity, teachers’ psychological communication ability, psychological understanding ability and psychological guidance ability have a significant positive impact on students’ psychological state. The level of ideological and political theory and psychological strain ability also have a significant positive impact on students’ psychological state. Intervention on students’ values and personality psychological issues is also effective. These findings provide an important basis and guidance for further carrying out higher education reform. Contribution: With the development of society, students need to face more and more external concepts during their growth. Students whose mental growth is not mature are likely to have certain psychological problems in this process. This research can be utilised by scholars in the field of youth ministry and religious educational studies. (shrink)

We examine the link between a firm’s environmental and social disclosures and measures of its risk including total, systematic, and idiosyncratic risk. While we do not find any link between a firm’s E and S disclosures and its systematic risk, we find a negative and significant association between these disclosures and a firm’s total and idiosyncratic risk. These are novel findings and are consistent with the predictions of the stakeholder theory and the resource-based view of the firm suggesting that firms (...) which make extensive and objective E and S disclosures promote corporate transparency that can help them build a positive reputation and trust with their stakeholders. This in turn can help mitigate the firms' idiosyncratic/operational risk. These findings are important for all corporate stakeholders including managers, employees, and suppliers who have a significant economic interest in the survival and success of the firm. (shrink)

This study focuses on mindfulness programs in the corporate world, which are receiving increasing attention from business practitioners and organizational scholars. The workplace mindfulness literature is rapidly evolving, but most studies are oriented toward demonstrating the positive impacts of mindfulness as a state of mind. This study adopts a critical perspective to evaluate workplace mindfulness practice as a developmental process, with a focus on its potential risks that have ethical implications and are currently neglected by both researchers and practitioners. We (...) draw from a Buddhist perspective that understands mindfulness training as an ethics-based, longitudinal, and holistic path. To this end, we develop a four-stage model to illustrate a potential developmental process for participants in workplace mindfulness programs. This model comprises four stages of preliminary concentration, deep concentration, self-transcendence, and reengagement, each of which has its own underlying characteristics and impacts on individual participants and organizations. (shrink)

In this paper, dynamic behavior analysis has been discussed for a class of switched complex-valued neural networks with interval parameter uncertainties and impulse disturbance. Sufficient conditions for guaranteeing the existence, uniqueness, and global robust exponential stability of the equilibrium point have been obtained by using the homomorphism mapping theorem, the scalar Lyapunov function method, the average dwell time method, and M-matrix theory. Since there is no result concerning the stability problem of switched neural networks defined in complex number domain, the (...) stability results we describe in this paper generalize the existing ones. The effectiveness of the proposed results is illustrated by a numerical example. (shrink)

In this paper, the stability of switched neural networks with interval parameter uncertainties and time delays is investigated. First, the conditions for the existence and uniqueness of the equilibrium point of the system are discussed. Second, the average dwell time approach and M-matrix property are employed to obtain conditions to ensure the globally exponential stability of the delayed SNNs under constrained switching. Third, by resorting to inequality technique and the idea of vector Lyapunov function, sufficient condition to ensure the robust (...) exponential stability of the delayed SNNs under arbitrary switching is derived. The form of the constructed Lyapunov functions is simple, which has certain commonality in studying delayed SNNs, and the proposed results not only are explicit but also reveal the relationship between the constrained switching and the arbitrary switching of the SNNs. Finally, two numerical examples are presented to illustrate the effectiveness and less conservativeness of the main results compared with the existing literature. (shrink)

Customers are increasingly talking positively about brands that are socially responsible and authentic. However, little empirical research has related corporate social responsibility (CSR) to brand authenticity and brand authenticity to customers’ positive word-of-mouth. Moreover, although highly attractive alternative brands are increasingly appearing in the marketplace, there is a lack of research examining the role of alternative attractiveness in the relationship between CSR and brand authenticity. We address these shortcomings in the literature drawing on data from 1,101 customers of insurance services (...) brands and analyze them using structural equation modeling. The findings show that CSR is positively related to customers’ positive word-of-mouth, both directly and indirectly, through brand authenticity. Moreover, alternative attractiveness positively moderates the effect of CSR on brand authenticity. This implies that CSR can act as a differentiation mechanism to further enhance the focal brand’s authenticity, when an alternative brand is perceived as highly attractive. (shrink)

The need for sustainable corporate governance has gained the interests of researchers for a while now and it has been found as a very significant component of successful organizational operations. The current paper has examined the role of sustainable corporate governance in achieving sustainable economic space along with measuring the indirect impact of technological innovation and IT governance on the whole process. This paper has followed the quantitative-positivism approach to measure the hypotheses developed in the study. The population considered in (...) this study are the managers currently employed in the corporate sector in China. The data is analyzed using the Smart-PLS 3.3.3 software for checking the data for preliminary screening and the measurement of hypotheses. The findings of the study show that the three components of sustainable corporate governance, i.e., concern for employees, sustainable corporate governance awareness, and the environmental aspects have a significant as well as a positive effect on technological innovation and hence on the sustainable economic space. Similarly, the study has recorded a significant moderating effect of IT governance on the relationship of technological innovation and the sustainable economic space. Overall, it can be seen that corporate governance, innovative technology, and a sustainable digital economy share a reciprocal relationship. Where corporate governance helps as a supporting force to keep both innovation and sustainability in action. Whereas IT governance provides enhanced communication and delivery of public services, business, and advanced human capital. The study will be of high advantage for the corporate sector in China for devising and modifying their policies that consider the employee’s concerns for the governance mechanisms prevailing at priority in the organizations. Further, it will be interesting for the organizations to incorporate the IT governance mechanism in their technological innovations for achieving a sustainable economic space. (shrink)

In the evaluation of teaching quality, aiming at the shortcomings of slow convergence of BP neural network and easy to fall into local optimum, an online teaching quality evaluation model based on analytic hierarchy process and particle swarm optimization BP neural network is proposed. Firstly, an online teaching quality evaluation system was established by using the analytic hierarchy process to determine the weight of each subsystem and each index in the online teaching quality evaluation system and then combined with actual (...) experience, the risk value of each index was constructed according to safety regulations. The regression model is established through BP neural network, and the weight and threshold of the model are optimized by the particle swarm algorithm. Based on the online teaching quality evaluation model of BP neural network, the parameters of the model are constantly adjusted, the appropriate function is selected, and the particle swarm algorithm which is used in the training and learning process of the neural network is optimized. The scientificity of the questionnaire was verified by reliability and validity test. According to the scoring results and combined with the weight coefficient of each indicator in the online course quality evaluation index system, the key factors affecting the quality of online courses were obtained. Based on the survey data, descriptive statistics, analysis of variance, and Pearson’s correlation coefficient method are used to verify the research hypothesis and obtain valuable empirical results. By comparing the model with the standard BP model, the results show that the accuracy of the PSO-BP model is higher than that of the standard BP model and PSO-BP effectively overcomes the shortcomings of the BP neural network. (shrink)

In this paper, we present a probabilistic-based method to predict malaria disease at an early stage. Malaria is a very dangerous disease that creates a lot of health problems. Therefore, there is a need for a system that helps us to recognize this disease at early stages through the visual symptoms and from the environmental data. In this paper, we proposed a Bayesian network model to predict the occurrences of malaria disease. The proposed BN model is built on different attributes (...) of the patient’s symptoms and environmental data which are divided into training and testing parts. Our proposed BN model when evaluated on the collected dataset found promising results with an accuracy of 81%. One the other hand, F1 score is also a good evaluation of these probabilistic models because there is a huge variation in class data. The complexity of these models is very high due to the increase of parent nodes in the given influence diagram, and the conditional probability table also becomes more complex. (shrink)

Angle is an important concept in geometry. Young children have difficulty separating angle size from other dimensions such as the length of angle sides, perhaps due to whole-object bias in word learning. The present study used the pre-test–training–post-test design to investigate the effectiveness of two ways of separating angle from angle size in 3–6-year-old Chinese preschoolers. A total of 228 children were given a pre-test and 219 of them failed the crucial test. 168 of the 219 children were present at (...) school during the training phase and were randomly assigned to three groups: the “toma” group, which received training to call the whole angle figure as “toma” and angle size as angle size; the “angle/angle size” group, which received the training of separating “angle” from “angle size”; and the control group, which used “angle size” alone to represent both the overall angle figure and angle size. Results showed that the “toma” group improved significantly more than the other two groups, the latter of which did not differ from each other. These results suggest that it is insufficient to have two separate words/phrases for children to learn to differentiate angle from angle size, perhaps due to their shared usage of the word angle. Instead, the use of a novel term is necessary and sufficient to improve learning. Implications for preschool education are discussed. (shrink)

Chinese medicine has a history of at least 2,000 years. The first explicit literature on medical ethics did not appear until the seventh century when a physician named Sun Simiao wrote a famous treatise titled “On the Absolute Sincerity of Great Physicians” in his work The Important Prescriptions Worth a Thousand Pieces of Gold. In this treatise, later called The Chinese Hippocratic Oath, Sun Simiao required the physician to develop first a sense of compassion and piety, and then to make (...) a commitment to try to save every living creature, to treat every patient on equal grounds, and to avoid seeking wealth because of his expertise. (shrink)

In this paper, we draw on insights from theories in the management and corporate governance literature to develop a theoretical model that makes explicit the links between a firm’s corporate social responsibility related board attributes, its board CSR strategy, and its environmental and social performance. We then test the model using structural equation modeling approach. We find that the greater the CSR orientation of the board, the more proactive and comprehensive the firm’s CSR strategy, and the higher its environmental and (...) social performance. Moreover, we find this link to be endogenous and self-reinforcing, with superior CSR performers tending to further strengthen their board CSR orientation. This result while positive is also suggestive of the widening of the gap between the leads and laggards in CSR. Therefore, the question arises as to how ‘leaders’ are using their superior CSR competencies seen by many scholars as a source of corporate competitive advantage. Stakeholders of corporations therefore need to be cognizant of this aspect of CSR when evaluating a firm’s CSR activities. Policy makers also need to be cognizant of these concerns when designing regulation in this field. (shrink)

This is a review of the literature in the philosophy of medicine published in China from 1930 to 1980. The topics dealt with include the relationship between medicine and philosophy, the basic concepts of medicine, etiology and causality, the bearing of psychology on physiology and pathology, epistemology in diagnostics, methodology of medical sciences, philosophical and methological problems in traditional Chinese medicine, philosophical problems in health policy, and medical ethics.

In this chapter, we argue that Du Châtelet’s account of motion is an important contribution to the history of the absolute versus relative motion debate. The arguments we lay out have two main strands. First, we clarify Du Châtelet’s threefold taxonomy of motion, using Musschenbroek as a useful Newtonian foil and showing that the terminological affinity between the two is only apparent. Then, we assess Du Châtelet’s account in light of the conceptual, epistemological, and ontological challenges posed by Newton to (...) any relational theory of motion. What we find is that, although Du Châtelet does not meet all the challenges to their full extent, her account of motion is adequate for the goal of the Principia: determining the true motions in our planetary system. (shrink)

The application of digital technology in teaching has triggered the evolution of traditional teaching. Students have different corresponding relationships under digital behavior. The interactive technology of artificial intelligence and virtual reality provides a new driving force for the development of art education and psychology. Firstly, this thesis analyzes the limitations and existing problems of traditional art education. Especially, the influence of the teaching mode of art education on the teaching of other disciplines develops a targeted student-centered digital education program. Secondly, (...) the author used VR equipment and technology to let students experience the virtual world freely, and then, the relevant data model was established on the basis of analyzing the reasons affecting students’ creativity and concentration. Thirdly, the data model was applied to art education in order to improve students’ concentration and creativity. Then, the author compared and analyzed the data of the students under different teaching models through questionnaires. The results show that introducing VR and AI technology into art education and encouraging students to carry out deep learning can significantly improve student concentration and creativity. Finally, the influence reasons are analyzed from the perspective of psychology. VR interaction and Artificial Intelligence can be introduced into middle school fine art education which is to the benefit of students’ deep learning, thus students’ concentration and creativity can be improved. (shrink)

Many studies have revealed the top-down modulation on unconscious processing. However, there is little research about how category-selective attention could modulate the unconscious processing. In the present study, using functional magnetic resonance imaging , the results showed that category-selective attention modulated unconscious face/tool processing in the middle occipital gyrus . Interestingly, MOG effects were of opposed direction for face and tool processes. During unconscious face processing, activation in MOG decreased under the face-selective attention compared with tool-selective attention. This result was (...) in line with the predictive coding theory. During unconscious tool processing, however, activation in MOG increased under the tool-selective attention compared with face-selective attention. The different effects might be ascribed to an interaction between top-down category-selective processes and bottom-up processes in the partial awareness level as proposed by Kouider, De Gardelle, Sackur, and Dupoux . Specifically, we suppose an “excessive activation” hypothesis. (shrink)