语言与哲学在人文素质教育中的功能

语言与哲学是提高大学生特别是理工科大学生人文科学素质的两个重要支撑点.语言修养是提高大学生人文科学素质的基础,哲学修养是引导大学生提高人文科学素质的智慧.人文素质教育功能蕴含在大学生语言修养和哲学修养的养成与提高中.高校应给大学生创造提高人文素质的条件.     

毛泽东农村调查研究方法简论

毛泽东农村调查研究方法是一个完整的科学体系,马克思的辩证唯物主义和历史唯物主义是毛泽东农村调查研究方法的理论基础,即方法论。矛盾分析法和阶级分析法是毛泽东农村调查研究的基本方法。典型调查、类型调查、普遍调查、实地访问、开调查会、表格调查法、文献法、历史法等是毛泽东农村调查研究的方式和具体方法。     

无限家园--读廖志理的组诗《来自生活最初的激情》

文章通过解读组诗文本,抓住家园情结这一内核,较为翔实地剖析了诗人对农耕民族的精神历程与诗意关怀,并归纳了三个艺术特点即忧患精神的张扬、时空转换的把握和整体象征的艺术自觉.     

论军校思想政治教育中的“法制权威教育”

分析了加强法制教育、进一步培养生长干部学员法制权威意识的必要性,指出了目前军队院校"法制权威教育"中存在重视程度不够、教育模式较落后、缺少专业军事法律人才培养等问题,提出了加强军队院校"法制权威教育"应从统一思想认识、普及法律意识和规范教育体系等三个层面做好工作等具体措施。     

施工企业危机管理及其经济分析

危机管理的目的是为了避免和减少危机的损害,是一场"防御性的战斗",也是一项系统工程。论文结合竞争激烈的施工企业市场实际,从施工企业危机管理入手,阐述了施工企业危机管理目前的共性内容,并通过分析对危机管理的重要意义、危机管理效果和经济效果的衡量等问题,进一步通过施工企业危机管理的经济分析对危机管理投入、所得的界定,研究了危机管理投入的量化及归一化,以及危机管理所得的量化及归一化问题,得出单位投入所带来的整体稳定态势,其值越大表明危机管理越有效。可为施工企业开展此项工作提供一定的理论指导。     

论老建筑再生与城市空间品质的塑造

通过老建筑再生对于城市的价值意义的研究以及对城市与老建筑关系的分析，从多个角度阐述由老建筑再生所带来的城市意象、城市肌理、场所精神、城市色彩、城市风貌等要素的变化及其促进城市空间品质的提高，并结合国内外案例对这一观点行论证。     

Quantifying uncertainty in the biospheric carbon flux for England and Wales

Summary.  A crucial issue in the current global warming debate is the effect of vegetation and soils on carbon dioxide (CO₂) concentrations in the atmosphere. Vegetation can extract CO₂ through photosynthesis, but respiration, decay of soil organic matter and disturbance effects such as fire return it to the atmosphere. The balance of these processes is the net carbon flux. To estimate the biospheric carbon flux for England and Wales, we address the statistical problem of inference for the sum of multiple outputs from a complex deterministic computer code whose input parameters are uncertain. The code is a process model which simulates the carbon dynamics of vegetation and soils, including the amount of carbon that is stored as a result of photosynthesis and the amount that is returned to the atmosphere through respiration. The aggregation of outputs corresponding to multiple sites and types of vegetation in a region gives an estimate of the total carbon flux for that region over a period of time. Expert prior opinions are elicited for marginal uncertainty about the relevant input parameters and for correlations of inputs between sites. A Gaussian process model is used to build emulators of the multiple code outputs and Bayesian uncertainty analysis is then used to propagate uncertainty in the input parameters through to uncertainty on the aggregated output. Numerical results are presented for England and Wales in the year 2000. It is estimated that vegetation and soils in England and Wales constituted a net sink of 7.55 Mt C (1 Mt C = 10¹² g of carbon) in 2000, with standard deviation 0.56 Mt C resulting from the sources of uncertainty that are considered.     

改进灰色预测在油田多目标规划决策中的应用

建立了S油田勘探、开发、炼化、机械、公用工程等多个部门和全局的非线性多级目标优化规划模型,应用关联分析、改进灰色预测、回归分析求取规划模型的约束方程并线性化;编制了相应的计算软件,使之快速预测和优化油田各部门“九五”各年的投资和产值;并将优化结果与油田过去或计划值加以对比,给油田规划决策带来一定的参考。     

解读人与自然的和谐

人与自然和谐包含着丰富和深刻的内涵 ,从理论层面上看 ,它应是人与自然互相适应的辩证统一 ;从实践层面上讲 ,它应是人与自然双方均处于既被改造又应保护的关系之中。必须反对在这个问题上的各种片面的观点与看法     

Estimating household structure in ancient China by using historical data: a latent class analysis of partially missing patterns

Summary.  Social data often contain missing information. The problem is inevitably severe when analysing historical data. Conventionally, researchers analyse complete records only. Listwise deletion not only reduces the effective sample size but also may result in biased estimation, depending on the missingness mechanism. We analyse household types by using population registers from ancient China (618–907 AD) by comparing a simple classification, a latent class model of the complete data and a latent class model of the complete and partially missing data assuming four types of ignorable and non-ignorable missingness mechanisms. The findings show that either a frequency classification or a latent class analysis using the complete records only yielded biased estimates and incorrect conclusions in the presence of partially missing data of a non-ignorable mechanism. Although simply assuming ignorable or non-ignorable missing data produced consistently similarly higher estimates of the proportion of complex households, a specification of the relationship between the latent variable and the degree of missingness by a row effect uniform association model helped to capture the missingness mechanism better and improved the model fit.