Changes in the Factors Influencing Public Acceptance of Nuclear Power Generation in Japan Since the 2011 Fukushima Daiichi Nuclear Disaster

Public support for nuclear power generation has decreased in Japan since the Fukushima Daiichi nuclear accident in March 2011. This study examines how the factors influencing public acceptance of nuclear power changed after this event. The influence factors examined are perceived benefit, perceived risk, trust in the managing bodies, and pro‐environmental orientation (i.e., new ecological paradigm). This study is based on cross‐sectional data collected from two online nationwide surveys: one conducted in November 2009, before the nuclear accident, and the other in October 2011, after the accident. This study's target respondents were residents of Aomori, Miyagi, and Fukushima prefectures in the Tohoku region of Japan, as these areas were the epicenters of the Great East Japan Earthquake and the locations of nuclear power stations. After the accident, trust in the managing bodies was found to have a stronger influence on perceived risk, and pro‐environmental orientation was found to have a stronger influence on trust in the managing bodies; however, perceived benefit had a weaker positive influence on public acceptance. We also discuss the theoretical and practical implications of these findings.     

Japanese and American Children's Reasoning about Accepting Credit for Prosocial Behavior

Children's reasoning about the appropriateness of accepting credit for one's own prosocial behavior was examined. Participants aged 7–11 years old in Japan and the USA (total N = 206) were presented with a series of stories in which a protagonist performs a good deed and is asked about it by another character. Across stories, the protagonist either truthfully acknowledges the deed or falsely denies it, in a statement that is made either in public or in private, and is addressed to either a teacher or to a peer. As predicted, Japanese children judged protagonists less favorably when they acknowledged the good deed in public rather than in private. Further, Japanese children tended to view modest lies more favorably overall than did children in the USA. These results point to the importance of modesty in Japan and to the ways in which Japanese children take into account the social context of communication when deciding whether it is appropriate for individuals to convey information about themselves.     

The Folk and the Sociology of Takata Yasuma: —His Life and Thoughts—

Abstract  Takata Yasuma, hailed as the father of sociology in Japan and recipient of the prestigious Cultural Meritorious Award in 1964, was also admired by western sociologists for his originality. In this article I discuss The Folk in 1941 with his discussions on ethnic problems around the year 1940 in connection with his inner life and thoughts.
First, I point out Takata makes much of the subjective aspect of the folk, or folk-consciousness, and distinguishes it by this ethnic ego from similar but enforced groups such as nation-state. Then I analyze his folk theory in connection with class, the modern state, nationalism, capitalism and imperialism, and conclude that Takata conflates nationalism quite easily and directly with imperialism without defining narrow-minded nationalism clearly though he rejects Lenin's view of imperialism as the consequence of the development of capitalism.
Secondly I consider the interrelationship of the folk with the slowly but enlarging world society, and make clear that Takata appreciates the socialization of interest (Vergesellschaftung) in the progress of society, though in his heart he has pursued Gemeinschaft 9s the child of a village in spirit. Finally, I emphasize that folk theory thoroughly reflects his inner life and thoughts: the perfect leveler, a free-spoken person, a village child in spirit, and a scholar of originality     

Doing good while doing business: Using financial viability to enhance employability for the disadvantaged

The employment social enterprise (ESE) model can provide an opportunity to create a financially viable business that helps individuals with employment barriers become integrated into the labor force. This research studied eight ESEs. Findings suggest that by applying private‐sector business principles to a workforce development programs, social enterprises can provide participants with meaningful and valuable work experience, while offsetting program costs. Analysis identified four promising practices that social entrepreneurs should adopt when setting up a new enterprise. Enterprises should (a) provide soft‐skill training and social services to participants; (b) operate at a size that allows for economies of scale in production and the provision of support services; (c) have few occupational skill requirements; and (d) hire supervisors with both industry knowledge and the capacity to support individuals with employment barriers.     

Optimal dividend distribution policy from the perspective of the impatient and loss-averse investor

This paper discusses a problem concerning intertemporal decision-making under uncertainty when its subject has psychological biases. Here, we consider an investment company as a decision maker that invests money from investors in a financial asset and pays some dividend every period depending on the performance of the investment. On the other hand, we assume investors have such psychological biases as inconsistent time preference and loss aversion. Through numerical experiments we show that the optimal dividend distribution under inconsistent time preference and loss aversion is quite different from the distribution without these psychological factors, and that combinations of the two factors produce various patterns of dividend distribution.     

通过日本有关梁漱溟研究而窥视其学术研究掠影

文章通过介绍日本有关梁漱溟的研究成果来与中国学者进行学术上的交流,那么,全面性的介绍将有助于中国学者对日本学术界有个全面的把握和了解.     

How to Build an Intentional Android: Infants' Imitation of a Robot's Goal‐Directed Actions

This study examined whether young children are able to imitate a robot's goal‐directed actions. Children (24–35 months old) viewed videos showing a robot attempting to manipulate an object (e.g., putting beads inside a cup) but failing to achieve its goal (e.g., beads fell outside the cup). In 1 video, the robot made eye contact with a human before and after it failed the action. In another video, the robot did not make eye contact with the human adult. Only in the former condition did children “imitate” the robot's “intended” but unconsummated actions (e.g., putting beads inside a cup). When the robot did not make eye contact, children performed poorly, at the baseline level. These results suggest that human‐like gaze behaviors, not human‐like morphology, may play an important role in young children's imitation of a nonhuman agent's goal‐directed behaviors.     

Matrix decomposition in meta-analysis for extraction of adverse event pattern and patient-level safety profile

The purpose of assessing adverse events (AEs) in clinical studies is to evaluate what AE patterns are likely to occur during treatment. In contrast, it is difficult to specify which of these patterns occurs in each patient. To tackle this challenging issue, we constructed a new statistical model including nonnegative matrix factorization by incorporating background knowledge of AE-specific structures such as severity and drug mechanism of action. The model uses a meta-analysis framework for integrating data from multiple clinical studies because insufficient information is derived from a single trial. We demonstrated the proposed method by applying it to real data consisting of three Phase III studies, two mechanisms of action, five anticancer treatments, 3317 patients, 848 AE types, and 99,546 AEs. The extracted typical treatment-specific AE patterns coincided with medical knowledge. We also demonstrated patient-level safety profiles using the data of AEs that were observed by the end of the second cycle.     

Nonparametric estimation of nonlinear dynamics by metric-based local linear approximation

This paper discusses nonparametric estimation of nonlinear dynamical system models by a method of metric-based local linear approximation. We assume no functional form of a given model but estimate it from experimental data by approximating the curve implied by the function by the tangent plane around the neighborhood of a tangent point. To specify an appropriate neighborhood, we prepare a metric defined over the Euclidean space in which the curve exists and then evaluate the closeness to the tangent point according to the distances. The proposed method differs from the first order polynomial modeling in discerning the metric and the weighting function, but the first order polynomial modeling with Gaussian kernels is shown to be a special version of the proposed method. Simulation studies and application to ECG signals show the proposed method is easy to manipulate and has performance comparable to or better than the first order local polynomial modeling.