湖南可持续发展战略的科技对策研究

新型工业化道路是湖南可持续发展战略的必然选择,其途径是把工业化与信息化融合起来,大力发展以信息技术为核心的高新技术,通过运用最新科技成果,提高经济效益,减少资源消耗与环境污染,实现湖南可持续发展的战略目标。     

知识经济与甘肃人力资源的开发管理

本文在探讨知识经济时代人力资源开发与管理特点的基础上 ,从劳动力资源、人才资源等方面入手 ,分析了甘肃人力资源的现状 ,提出了我省应大力发展教育、注重素质培养 ,营造“尊重知识 ,尊重人才”的社会氛围 ,建立合理的人才资源流动、使用新机制等政策性建议     

试论我国行政事业单位人力资源管理的现状及对策

行政事业单位的管理水平对整个国民经济的发展有着重要的作用。目前我国人力资源管理还存在种种缺陷,为改变现状,从宏观上应改革现有的行政事业单位管理体制;从微观上对基层工作人员引入竞争机制,对中上层干部,实行终身雇佣制,同时应建立公平的干部选拔机制和合理的分配体制。     

国民精神重塑的百年追思

中国最早于１９世纪末提出国民精神重塑的问题。五四新文化运动虽然抓住提高国民素质的两大关键性问题──科学与民主,然而由于其新思想是“舶来品”,与民众的思想观念存在着严重的脱节,难以产生广泛的社会效果。在紧张的政治斗争中,又对农民身上的封建文化因素作某些体让。所以,中国民众始终未受现代性的陶冶与训练。今天,我们要站在时代的高度,进行科学与民主的普及与提升的工作。当前,重点是培育国民的科学精神;不但要把民主作为社会制度来实现,而且要作为培育人的独立性人格的价值目标来实现。同时要认识中国民主化进程的特殊性、长期性。     

Decision settings analysis – a tool for analysis and design of human activity systems

The paper describes a methodology to be used for analysis and design of human activity systems. The methodology is based on an analysis of the decision settings whereas most other decision analysis methodologies are analysing the process. The decision concept is analysed and discussed. A distinction between programmed and programmable as well as non-programmed and non-programmable decisions is proposed. A classification of different information types for decision making is presented. A methodology based on a systemic and systematic analysis of the information requirements of an organization is proposed. This methodology also indicates organizational discrepancies and information imbalances. The methodology focuses the settings of the decisions on all levels of organizations. The methodology can be regarded as a dynamic, learning system. The author proposes further research on the individuals decision making abilities.     

Coherent mortality forecasting by the weighted multilevel functional principal component approach

In human mortality modelling, if a population consists of several subpopulations it can be desirable to model their mortality rates simultaneously while taking into account the heterogeneity among them. The mortality forecasting methods tend to result in divergent forecasts for subpopulations when independence is assumed. However, under closely related social, economic and biological backgrounds, mortality patterns of these subpopulations are expected to be non-divergent in the future. In this article, we propose a new method for coherent modelling and forecasting of mortality rates for multiple subpopulations, in the sense of nondivergent life expectancy among subpopulations. The mortality rates of subpopulations are treated as multilevel functional data and a weighted multilevel functional principal component (wMFPCA) approach is proposed to model and forecast them. The proposed model is applied to sex-specific data for nine developed countries, and the results show that, in terms of overall forecasting accuracy, the model outperforms the independent model and the Product-Ratio model as well as the unweighted multilevel functional principal component approach.     

Robust inference for estimating equations with nonignorably missing data based on SIR algorithm

Nonresponse is a very common phenomenon in survey sampling. Nonignorable nonresponse – that is, a response mechanism that depends on the values of the variable having nonresponse – is the most difficult type of nonresponse to handle. This article develops a robust estimation approach to estimating equations (EEs) by incorporating the modelling of nonignorably missing data, the generalized method of moments (GMM) method and the imputation of EEs via the observed data rather than the imputed missing values when some responses are subject to nonignorably missingness. Based on a particular semiparametric logistic model for nonignorable missing response, this paper proposes the modified EEs to calculate the conditional expectation under nonignorably missing data. We can apply the GMM to infer the parameters. The advantage of our method is that it replaces the non-parametric kernel-smoothing with a parametric sampling importance resampling (SIR) procedure to avoid nonparametric kernel-smoothing problems with high dimensional covariates. The proposed method is shown to be more robust than some current approaches by the simulations.     

以迹求心，破解先秦诸子六大迷津

思考中国现在的文明形态和人文气象需要建立起贯通文、史、哲、宗教、人类学的人文学,其战略思想和核心方法是将空间维度有机嵌入时间维度,确立汉族和少数民族共同创造中华文明的整体文化观,高度关注并科学对待不同文化层次的本质价值和互动关系问题,还原历史文化典籍蕴藏的生命状态和生命过程。具体到先秦诸子研究领域,则可以利用上述文化要义破解诸如老子的母系氏族特征、“唯女子与小人为难养也”的含义、孙武其人的有无、墨子的出生地、庄子的家世、《疠怜王》的作者等六大迷津。     

LGBTQI-identified human rights defenders: courage in the face of adversity at the United Nations

The role of LGBTQI human rights defenders in the international arena at the United Nations (UN) is a particularly risky and insecure one, especially for those who themselves identify as lesbian, gay, bisexual, transsexual, transgender, two spirit, queer, and intersex (LGBTQI). This article focuses on the anecdotal experiences of LGBTQI-identified human rights defenders and their work at the UN, observed and noted during a research study examining the degree of recognition and legitimacy LGBTQIs have at the UN. Much courage is required on the part of LGBTQI-identified human rights defenders who, while defending others in their communities, themselves face opposition from those within the UN who hold traditional, religious, and culturally based values, as well as a result of state sovereignty and state-sanctioned criminalisation of their gender and sexual diversity.     

The significance of meaning. Why IPBES needs the social sciences and humanities

The term “biodiversity” is often used to describe phenomena of nature, which can be studied without a reference to the socially constructed, evaluative, or indeed normative contexts. In our paper, we challenge this conception by focusing particularly on methodological aspects of biodiversity research. We thereby engage with the idea of interdisciplinary biodiversity research as a scientific approach directed at the recognition and management of contemporary society in its ecological embedding. By doing this, we explore how research on and assessments of biodiversity can be enhanced if meaning, aspiration, desires, and related aspects of agency are methodically taken into account. In six sections, we substantiate our claim that the discourse on biodiversity (including the IPBES (Intergovernmental science-policy Platform on Biodiversity and Ecosystem Services) debate) is incomplete without contributions from the social sciences and humanities. In the introduction, a brief overview of biodiversity’s conceptual history is provided showing that “biodiversity” is a lexical invention intended to create a strong political momentum. However, that does not impede its usability as a research concept. Section 2 examines the origins of the Convention on Biological Diversity (CBD) by way of sociological discourse analysis. Subsequently, it proposes a matrix as a means to structure the ambiguities and tensions inherent in the CBD. The matrix reemphasizes our main thesis regarding the need to bring social and ethical expertise to the biodiversity discourse. In Section 3, we offer a brief sketch of the different methods of the natural and social sciences as well as ethics. This lays the groundwork for our Section 4, which explains and illustrates what social sciences and ethics can contribute to biodiversity research. Section 5 turns from research to politics and argues that biodiversity governance necessitates deliberative discourses in which participation of lay people plays an important role. Section 6 provides our conclusions.