Han Fei was a famous Legalist in the late Warring States period. During the struggle to criticize the Confucian school, he developed the theory of the "rule of law," which laid a theoretical groundwork on which the newly emerging landlord class could build a centralized feudal state. His works had been appreciated by Ch'in Shih-huang. When Ch'in Shih-huang read the book Han Fei Tzu, he sighed and said, "I would feel no regret about dying if I could meet this person (...) and become his friend." Later Ch'in Shih-huang applied this progressive theory of Han Fei in practice and developed it through practice. (shrink)

Little is known about the time of development of the binocular suppression. In the present study, we evaluated the emergence of binocular suppression in infants by using continuous flash suppression (CFS, Tsuchiya & Koch, 2006). In our experiment, one eye of infants presented with a static face image at one side of the screen, while another eye is presented with dynamic Mondrian patterns in full screen. Adult observers confirmed that the static face image was consciously repressed by the changing Mondrian (...) patterns. If binocular suppression were functional, the infant would not perceive the face as did the adults, and thus would not show any preference in the experiment. However, if binocular suppression in the infants were not yet acquired, they would perceive the face and the Mondrian patterns at the same time, and would thus show preference for the side where the face was presented. The results showed that infants aged 2–3 months, but not those aged 4–5 months, detected the position of the face. Furthermore, this detection was not due to weak contrast sensitivity to the dynamic Mondrian mask. These results indicated that the immature binocular visual system may perceive different images from different eyes simultaneously, and that infants may lose this ability after establishing binocular suppression at 4–5 months of age. (shrink)

이데올로기 문제, 상업주의적 평화사상, 인간의 소중 함을 피력한 저자의 글 모음.

We investigate the role of social-media-triggered public pressure on corporate social responsibility that includes expectations of transparency and accountability on the firm’s part, and participative/evaluative inputs on the public’s part. Using the date when S&P 500 firms established corporate Twitter accounts, we investigate the impact of corporate social media exposure on CSR outcomes. Results from baseline regressions indicate that firms with Twitter accounts significantly outperform industry peers in CSR rating, after controlling for firm and industry characteristics. To test potential reverse (...) causality, we use a dynamic treatment effect model to explore within firm changes of CSR, and find that firms’ CSR rating improves in year one- and year two after establishing a Twitter account, while no difference emerged in similar comparisons with peers prior to the Twitter account establishment. Additionally, Granger causality tests results show that corporate Twitter presence improves CSR performance; it is also shown that CSR outcomes do not motivate corporations to establish a social media presence on Twitter. Finally, firms with more experience on Twitter, and those with more followers, tweets or Twitter accounts are associated with improved CSR outcomes. We draw on two theories and qualitative interviews with senior CSR executives to explain why social media influences CSR firm behaviors. (shrink)

Business Ethics: A European Review, EarlyView.

In this article we review the emerging literature on the self-transcendent emotions. We discuss how the self-transcendent emotions differ from other positive emotions and outline the defining features of this category. We then provide an analysis of three specific self-transcendent emotions—compassion, gratitude, and awe—detailing what has been learned about their expressive behavior, physiology, and likely evolutionary origins. We propose that these emotions emerged to help humans solve unique problems related to caretaking, cooperation, and group coordination in social interactions. In our (...) final section we offer predictions about the self-transcendent emotions that can guide future research. (shrink)

PurposeThis study aims to examine the mediating role recovery plays in the relationship between resilience and posttraumatic growth among breast cancer patients.MethodsA cross-sectional study design was implemented between January 02, 2021 and April 29, 2021. A total of 789 breast cancer patients from eight hospitals in Liaoning province were selected for participation in this study. These participants completed questionnaires, which included the Post-Traumatic Growth Inventory, EGO Resilience Scale and the Questionnaire about the Process of Recovery. The associated factors of PTG (...) were analyzed using hierarchical multiple regression. The proposed relationships among resilience, recovery, and PTG were checked by structural equation modeling analyses.ResultsThe average PTG score of breast cancer patients was 53.00 ± 28.30. PTG was positively correlated with both recovery and PTG.ConclusionBreast cancer patients were found to exhibit a moderate degree of PTG. Resilience was positively associated with PTG and recovery mediated the positive effect of resilience on PTG. Resilience might serve as a crucial protective factor that could explain positive growth in life-threatening illnesses through the mediating path of recovery. (shrink)

Targeting of cell ablation agents under the control of tissue‐specific promoters promises to be an important tool for studies of development and function in higher organisms. Temperature‐sensitive cell ablation agents, recently developed for Drosophila, extend control to temporal as well as spatial aspects of toxin expression. Here we discuss achievements to date, together with a novel form of enhancer trap technology with the potential for driving toxin expression in a large range of cell types.

Clinical mental health researchers may understandably struggle with how to incorporate biological assessments in clinical research. The options are numerous and are described in a vast and complex body of literature. Here we provide guidelines to assist mental health researchers seeking to include biological measures in their studies. Apart from a focus on behavioral outcomes as measured via interviews or questionnaires, we advocate for a focus on biological pathways in clinical trials and epidemiological studies that may help clarify pathophysiology and (...) mechanisms of action, delineate biological subgroups of participants, mediate treatment effects, and inform personalized treatment strategies. With this paper we aim to bridge the gap between clinical and biological mental health research by (1) discussing the clinical relevance, measurement reliability, and feasibility of relevant peripheral biomarkers; (2) addressing five types of biological tissues, namely blood, saliva, urine, stool and hair; and (3) providing information on how to control sources of measurement variability. (shrink)

Adaptation to climate change impacts is a key research topic in business ethics that poses substantial implications on the good lives of human beings. The commercial port sector is a highly relevant study focus with its pivotal roles in supply chains and international trade. Hence, it is important to investigate whether the port planning system and practice is appropriate in tackling climate change impacts. But beforehand, we must thoroughly understand the attitude and behaviors of port planners and operators on ports’ (...) climate adaptation planning. Through a survey towards 21 ports in Canada, the paper investigates the attitude and behaviors of port planners and operators on ports’ climate adaptation planning. Towards the end, we propose a new approach so as to enable port stakeholders to carry out climate adaptation planning effectively. The paper offers important insight to researchers to investigate the ways in developing effective climate adaptation plans and practice for ports and other business sectors. (shrink)

Objectives: To quantify the use of do-not-resuscitate orders in a tertiary-care children’s hospital and to characterise the circumstances in which such orders are written.Design: Retrospective study conducted in a 500-bed children’s hospital in Taiwan.Patients: The course of 101 patients who died between January 2002 and December 2005 was reviewed. The following data were collected: age at death, gender, disease and its status, place of death and survival. There were 59 males and 42 females with a median age of 103 months (...) . 50 children had leukaemias, and 51 had malignancies other than leukaemia. The t test and the χ2 test were applied as appropriate.Results: The study found that 44% of patient deaths occurred in the paediatric oncology ward; 29% of patient deaths occurred in the intensive care unit; and 28% of patients died in their home or at another hospital. Other findings included the following: 46 of 101 patients died after attempted cardiopulmonary resuscitation and 55 died with a DNR order in effect. The mean age at death was 9.8 years in both groups with or without DNR orders.Conclusions: From the study of patient deaths in this tertiary-care children’s hospital, it was concluded that an explicit DNR order is now the rule rather than the exception, with more DNR orders being written for patients who have been ill longer, who have solid tumours, who are not in remission and who are in the ward. (shrink)

Knearest neighbor search is an important problem in location-based services and has been well studied on static road networks. However, in real world, road networks are often time-dependent; i.e., the time for traveling through a road always changes over time. Most existing methods forkNN query build various indexes maintaining the shortest distances for some pairs of vertices on static road networks. Unfortunately, these methods cannot be used for the time-dependent road networks because the shortest distances always change over time. To (...) address the problem ofkNN query on time-dependent road networks, we propose a novel voronoi-based index in this paper. Furthermore, we propose a novel balanced tree, namedV-tree, which is a secondary level index on voronoi-based index to make our querying algorithm more efficient. Moreover, we propose an algorithm for preprocessing time-dependent road networks such that the waiting time is not necessary to be considered. We confirm the efficiency of our method through experiments on real-life datasets. (shrink)