邓小平与江泽民发展观比较研究

邓小平与江泽民的发展观内容广泛、内涵丰富,涵盖社会经济、政治、文化、科技教育以及人的发展等方面。在新的历史条件下,学习和研究他们的发展观,对于我们更好地树立科学的发展观,全面建设小康社会不仅具有重大的现实意义,而且具有深远的历史意义。     

Goodness-of-fit tests based on the distance between the Dirichlet process and its base measure

The Dirichlet process is a fundamental tool in studying Bayesian nonparametric inference. The Dirichlet process has several sum representations, where each one of these representations highlights some aspects of this important process. In this paper, we use the sum representations of the Dirichlet process to derive explicit expressions that are used to calculate Kolmogorov, Lévy, and Cramér–von Mises distances between the Dirichlet process and its base measure. The derived expressions of the distance are used to select a proper value for the concentration parameter of the Dirichlet process. These tools are also used in a goodness-of-fit test. Illustrative examples and simulation results are included.     

The Dynamics of Research Alliances: Examining the Effect of Alliance Experience and Partner Characteristics on the Speed of Alliance Entry in the Biotech Industry

Few studies have moved beyond the dyadic level of an ongoing alliance and examined factors contributing to the success of entering a series of alliances. In this paper we expect biotechnology firms over time to learn from their alliance experience and to develop general alliance capabilities. Specifically, we expect the speed with which they enter into new research alliances, e.g. their alliance formation rate, to be affected by capabilities built up in prior alliances as well as by characteristics of their partners. We use longitudinal event history data for the complete population of US biotechnology firms for 1973–1999 to test four hypotheses about factors affecting the rate of new alliance formation. Our analysis suggests that the speed of entering research alliances is affected by prior experience of the focal firm, but not by partner characteristics. Our findings provide evidence that biotech firms learn how to learn more effectively from multiple research alliances; however, this effect is generalized and not tied to specific characteristics of the alliance partner.     

Generalized method of moments for an extended gamma process

In reliability theory, a widely used process to model the phenomena of the cumulative deterioration of a system over time is the standard gamma process (SGP). Based on several restrictions, such as a constant variance-to-mean ratio, this process is not always a suitable choice to describe the deterioration. A way to overcome these restrictions is to use an extended version of the gamma process introduced by Cinlar (1980), which is characterized by shape and scale functions. In this article, the aim is to propose statistical methods to estimate the unknown parameters of parametric forms of the shape and scale functions. We here develop two generalized methods of moments (Hansen 1982 Hansen, L. P. 1982. Large sample properties of generalized method of moments estimators. Econometrica 50 (4):1029–54.[Crossref], [Web of Science ®] , [Google Scholar]), based either on the moments or on the Laplace transform of an extended gamma process. Asymptotic properties are provided and a Wald-type test is derived, which allows to test SGPs against extended ones with a specific parametric shape function. Also, the performance of the proposed estimation methods is illustrated on simulated and real data.     

Getting Beyond the Productivity Gap

Although contemporary definitions of scholarship describe diverse activities through which faculty develop, verify, and advance knowledge of their profession, evaluations of social work program productivity have continued to emphasize the quantity of full-length articles published in selected social work journals. For this study, the authors applied a conceptual framework based on the intended audience and the function of over 1,700 articles and book reviews published from 1990-1993 by faculty of professorial rank at 45 social work doctoral programs. Hierarchical cluster analysis revealed four qualitatively distinct patterns of scholarly productivity, none of which was associated with quantitative productivity. Implications for social work practice and for knowledge development are identified and discussed.     

Emotional intelligence and counterproductive work behavior: The mediating role of organizational climate

ABSTRACT

This research investigates the impact of emotional intelligence on counterproductive work behavior through examining the mediating role of organizational climate. Data were collected from 304 administrative employees working in nine private universities in Amman, Jordan. Validity and reliability tests were conducted using factor analysis and Cronbach’s alpha. Research hypotheses were tested through multiple regression analysis and structural equation modeling methods. Outcomes of the analysis indicate that there is a significant impact on the relationship between emotional intelligence and counterproductive work behavior. The research proposes several recommendations for managers to apply specifically in private universities, and/or in any type of sector in Amman- Jordan. It also laid the groundwork for future research.     

Testosterone,testosterone therapy and prostate cancer

Abstract

With prostate cancer not observed in eunuchs and total androgen suppression by castration an effective first-line treatment for advanced prostate cancer, the dramatic regression seen in tumour symptoms after castration, lead to the theory that high levels of circulating androgens were a risk factor for prostate cancer. This theory however, ignored the effects testosterone variations within a physiologic range could have on early tumour events and since the early 2000s, clinical evidence discounting testosterone as a linear mechanistic cause of prostate cancer growth mounted, with alternative mechanistic hypotheses such as the saturation model being proposed. Together with a growing understanding of the negative health effects and decreased quality of life in men with testosterone deficiency or hypogonadism, a paradigm shift away from testosterone as a prostate cancer inducer occurred allowing clinicians to use testosterone therapy as potential treatment for men with difficult and symptomatic hypogonadism that had been previously treated for prostate cancer. In this review we contextualise the idea of testosterone as a risk factor for prostate cancer inducement and compile the most current literature with regards to the influence of testosterone and testosterone therapy in prostate cancer.     

Measuring is Believing! Improving Conventional Indicators of Welfare State Development

Welfare effort (social spending as a percentage of GDP) has conventionally been the preferred measure for comparisons in space and time of the level of development of welfare states. However, a wide variety of other measuring systems are potentially available in this field, because there are different sources and different methods for calculating social spending, so a variety of indicators can be calculated, each of which best reflects a different aspect of social protection systems. This paper presents two innovations: first it proposes options other than those generally used to measure the relative development of welfare states. Secondly, it uses those new measurements to show that some widely accepted conclusions on the relative development of welfare states need to be reviewed.     

Using Prior Risk‐Related Knowledge to Support Risk Management Decisions: Lessons Learnt from a Tunneling Project

The authors of this article have developed six probabilistic causal models for critical risks in tunnel works. The details of the models' development and evaluation were reported in two earlier publications of this journal. Accordingly, as a remaining step, this article is focused on the investigation into the use of these models in a real case study project. The use of the models is challenging given the need to provide information on risks that usually are both project and context dependent. The latter is of particular concern in underground construction projects. Tunnel risks are the consequences of interactions between site‐ and project‐ specific factors. Large variations and uncertainties in ground conditions as well as project singularities give rise to particular risk factors with very specific impacts. These circumstances mean that existing risk information, gathered from previous projects, is extremely difficult to use in other projects. This article considers these issues and addresses the extent to which prior risk‐related knowledge, in the form of causal models, as the models developed for the investigation, can be used to provide useful risk information for the case study project. The identification and characterization of the causes and conditions that lead to failures and their interactions as well as their associated probabilistic information is assumed to be risk‐related knowledge in this article. It is shown that, irrespective of existing constraints on using information and knowledge from past experiences, construction risk‐related knowledge can be transferred and used from project to project in the form of comprehensive models based on probabilistic‐causal relationships. The article also shows that the developed models provide guidance as to the use of specific remedial measures by means of the identification of critical risk factors, and therefore they support risk management decisions. Similarly, a number of limitations of the models are discussed.