一种新的高分辨定位去噪方法

高分辨定位技术在近几年得到人们的广泛注意,在这方面的研究工作相当活跃。本文提出一种新的多目标阵列接收信号协方差矩阵的去噪方法,并对结果进行了计算机模拟。     

社会主义核心价值观下的当代大学生人格教育

我国正处在经济、社会全面转型的关键时期,各种思想观念、文化意识深刻碰撞、交融,对大学生的思想意识形成强烈冲击。成长需要价值导航,必须在培育社会主义核心价值观的实践中提升大学生健全人格。根据大学生人格教育现状,提出大学生人格教育只有以社会主义核心价值观为引领,才能培养大学生的现代人格。     

Attenuating Initial Beliefs: Increasing the Acceptance of Anthropogenic Climate Change Information by Reflecting on Values

Anthropogenic climate change information tends to be interpreted against the backdrop of initial environmental beliefs, which can lead to some people being resistant toward the information. In this article (N = 88), we examined whether self‐affirmation via reflection on personally important values could attenuate the impact of initial beliefs on the acceptance of anthropogenic climate change evidence. Our findings showed that initial beliefs about the human impact on ecological stability influenced the acceptance of information only among nonaffirmed participants. Self‐affirmed participants who were initially resistant toward the information showed stronger beliefs in the existence of climate change risks and greater acknowledgment that individual efficacy has a role to play in reducing climate change risks than did their nonaffirmed counterparts.     

An upper bound for the distribution function of a positive definite quadratic form

In this paper the researchers are presenting an upper bound for the distribution function of quadratic forms in normal vector with mean zero and positive definite covariance matrix. They also will show that the new upper bound is more precise than the one introduced by Okamoto [4] and the one introduced by Siddiqui [5]. Theoretical Error bounds for both, the new and Okamoto upper bounds are derived in this paper. For larger number of terms in any given positive definite quadratic form, a rough and easier upper bound is suggested.     

The Ethical Challenges of Socially Responsible Science

Social responsibility is an essential part of the responsible conduct of research that presents difficult ethical questions for scientists. Recognizing one’s social responsibilities as a scientist is an important first step toward exercising social responsibility, but it is only the beginning, since scientists may confront difficult value questions when deciding how to act responsibly. Ethical dilemmas related to socially responsible science fall into at least three basic categories: 1) dilemmas related to problem selection, 2) dilemmas related to publication and data sharing, and 3) dilemmas related to engaging society. In responding to these dilemmas, scientists must decide how to balance their social responsibilities against other professional commitments and how to avoid compromising their objectivity. In this article, we will examine the philosophical and ethical basis of social responsibility in science, discuss some of the ethical dilemmas related to exercising social responsibility, and make five recommendations to help scientists deal with these issues.     

Anticipating modernity: the Jewish ‘welfare state’ in biblical and medieval times

The impact of religion on social policies and its role in the development, structuring and functioning of welfare states has only recently attracted significant attention. Studies of the relationship between religion and the welfare state have given little consideration to whether the religious precepts and values of the major religions, and the ways of life which they have shaped, are consistent with the idea of the welfare state. This paper shows that the elements of the definition of the modern welfare state were reflected in Jewish communal life as either prescribed by Jewish law (halakha) or lived during both ancient and medieval times, and that communal life was ‘welfare‐state‐like‘. In doing so this paper demonstrates that the idea of the welfare state is consistent with Judaism.     

Model-based clustering of multivariate skew data with circular components and missing values

Motivated by classification issues that arise in marine studies, we propose a latent-class mixture model for the unsupervised classification of incomplete quadrivariate data with two linear and two circular components. The model integrates bivariate circular densities and bivariate skew normal densities to capture the association between toroidal clusters of bivariate circular observations and planar clusters of bivariate linear observations. Maximum-likelihood estimation of the model is facilitated by an expectation maximization (EM) algorithm that treats unknown class membership and missing values as different sources of incomplete information. The model is exploited on hourly observations of wind speed and direction and wave height and direction to identify a number of sea regimes, which represent specific distributional shapes that the data take under environmental latent conditions.     

Otherness and empathy—implications of Lévinas ethics for social work education

This paper examines the concept of otherness in Lévinas’ ethics and raises related issues regarding the limits of empathy on philosophical grounds. This study also identifies and discusses a number of linguistic, social and cultural barriers that can establish such limits on practical grounds. This paper raises various considerations for social work educators teaching empathy. Such considerations suggest that social work educators could adopt a stance of ‘understanding and not understanding’ and a dialectical approach in using knowledge and skills. Furthermore, this study challenges the common assumption that empathy leads to compassionate action. Apart from empathy, moral commitment is necessary to engage in such action. This article discusses such moral commitment in relation to Lévinas’ notions of face and responsibility that place ethics before knowledge. Hence, the present study brings the attention of social work educators back to the importance of nourishing virtue and the moral character of students.     

Tracing the roots of mindfulness: Transcendence in Buddhism and Christianity

The field of social work has embraced mindfulness skills in the training of social workers and as an intervention used in practice. However, there is little discussion regarding the theoretical or religious roots of mindfulness. In addition, social workers often employ mindfulness by practicing within a behaviorist frame. Missing from this behaviorist frame are the historic religious definitions, aims, and values of mindfulness, which lead to a fuller understanding of mindfulness in social work practice. This article traces the religious roots of mindfulness to clarify its goals in both Buddhism and Christianity, with an emphasis on the Mahayana branch of Buddhism and the contemplative and mystical traditions within Christianity. In both religions, mindfulness leads one to an experience of transcendence, assisting the follower to realize that the self belongs in relationship with a divine oneness in Buddha nature, that is believed to be intrinsic to all sentient beings (in Buddhism), or a divine God through the person of Jesus Christ (in Christianity) where the self is retained. Social workers uphold the values of mindfulness and the profession itself when being sensitive to root mindfulness practice within its historical and religious contexts, particularly within Buddhist and Christian faith systems.     

General results for the Kumaraswamy-G distribution

For any continuous baseline G distribution [G.M. Cordeiro and M. de Castro, A new family of generalized distributions, J. Statist. Comput. Simul. 81 (2011), pp. 883–898], proposed a new generalized distribution (denoted here with the prefix ‘Kw-G’ (Kumaraswamy-G)) with two extra positive parameters. They studied some of its mathematical properties and presented special sub-models. We derive a simple representation for the Kw-G density function as a linear combination of exponentiated-G distributions. Some new distributions are proposed as sub-models of this family, for example, the Kw-Chen [Z.A. Chen, A new two-parameter lifetime distribution with bathtub shape or increasing failure rate function, Statist. Probab. Lett. 49 (2000), pp. 155–161], Kw-XTG [M. Xie, Y. Tang, and T.N. Goh, A modified Weibull extension with bathtub failure rate function, Reliab. Eng. System Safety 76 (2002), pp. 279–285] and Kw-Flexible Weibull [M. Bebbington, C.D. Lai, and R. Zitikis, A flexible Weibull extension, Reliab. Eng. System Safety 92 (2007), pp. 719–726]. New properties of the Kw-G distribution are derived which include asymptotes, shapes, moments, moment generating function, mean deviations, Bonferroni and Lorenz curves, reliability, Rényi entropy and Shannon entropy. New properties of the order statistics are investigated. We discuss the estimation of the parameters by maximum likelihood. We provide two applications to real data sets and discuss a bivariate extension of the Kw-G distribution.