分类定位 整合资源：我国事业单位改革的关键

目前我国的改革开放已到了攻坚阶段,事业单位改革作为对计划经济体制核心部分改造的一项重要工程,改革难度极大.本文针对我国事业单位目前存在的问题,提出分类定位、整合事业单位资源是我国事业单位改革的关键.     

Consortium for Atlantic Regional Assessment: Information Tools for Community Adaptation to Changes in Climate or Land Use

To inform local and regional decisions about protecting short-term and long-term quality of life, the Consortium for Atlantic Regional Assessment (CARA) provides data and tools (for the northeastern United States) that can help decision makers understand how outcomes of their decisions could be affected by potential changes in both climate and land use. On an interactive, user-friendly website, CARA has amassed data on climate (historical records and future projections for seven global climate models), land cover, and socioeconomic and environmental variables, along with tools to help decision makers tailor the data for their own decision types and locations. CARA Advisory Council stakeholders help identify what information and tools stakeholders would find most useful and how to present these; they also provide in-depth feedback for subregion case studies. General lessons include: (1) decision makers want detailed local projections for periods short enough to account for extreme events, in contrast to the broader spatial and temporal observations and projections that are available or consistent at a regional level; (2) stakeholders will not use such a website unless it is visually appealing and easy to find the information they want; (3) some stakeholders need background while others want to go immediately to data, and some want maps while others want text or tables. This article also compares what has been learned across case studies of Cape May County, New Jersey, Cape Cod, Massachusetts, and Hampton Roads, Virginia, relating specifically to sea-level rise. Lessons include: (1) groups can be affected differently by physical dangers compared with economic dangers; (2) decisions will differ according to decision makers' preferences about waiting and risk tolerance; (3) future scenarios and maps can help assess the impacts of dangers to emergency evacuation routes, homes, and infrastructure, and the natural environment; (4) residents' and decision makers' perceptions are affected by information about potential local impacts from global climate change.     

A Unified Approach to the Characterization of Equivalence Classes of DAGs, Chain Graphs with no Flags and Chain Graphs

Abstract.  A Markov property associates a set of conditional independencies to a graph. Two alternative Markov properties are available for chain graphs (CGs), the Lauritzen–Wermuth–Frydenberg (LWF) and the Andersson–Madigan– Perlman (AMP) Markov properties, which are different in general but coincide for the subclass of CGs with no flags . Markov equivalence induces a partition of the class of CGs into equivalence classes and every equivalence class contains a, possibly empty, subclass of CGs with no flags itself containing a, possibly empty, subclass of directed acyclic graphs (DAGs). LWF-Markov equivalence classes of CGs can be naturally characterized by means of the so-called largest CGs , whereas a graphical characterization of equivalence classes of DAGs is provided by the essential graphs . In this paper, we show the existence of largest CGs with no flags that provide a natural characterization of equivalence classes of CGs of this kind, with respect to both the LWF- and the AMP-Markov properties. We propose a procedure for the construction of the largest CGs, the largest CGs with no flags and the essential graphs, thereby providing a unified approach to the problem. As by-products we obtain a characterization of graphs that are largest CGs with no flags and an alternative characterization of graphs which are largest CGs. Furthermore, a known characterization of the essential graphs is shown to be a special case of our more general framework. The three graphical characterizations have a common structure: they use two versions of a locally verifiable graphical rule. Moreover, in case of DAGs, an immediate comparison of three characterizing graphs is possible.     

中小企业发展与融资体系的构建

中小企业在其不同的发展阶段面临着不同的融资需求。文章以金融支持为主线,先从宏观层面上考察了企业融资结构分别对宏观经济波动和企业融资体系的影响,再从微观角度出发,试图在对中小企业各发展过程中融资行为、融资约束、融资结构等的分析中探求其“融资难”之所在。最后再依据我国的现实国情,并结合发达国家先进经验,探讨我国中小企业融资体系的构建。     

关于外汇期货套期保值比率的实证研究

最佳套期保值比率(OHR)的估计方法一直是金融工程理论研究的核心问题,从最开始的幼稚法到JSE法 以及随后的很多其他改进方法,保值效率都有不同程度的提高。使用包含误差修正结构的GARCH模型估计外汇 (澳大利亚元)期货的套期保值比率。通过效率比较,证实该模型所得到的套期保值比率比起传统方法都具有更好 的降低风险能力。     

突出人才素质培养的教学模式改革

从高职教育的培养目标入手 ,就高等职业技术教育中机械类和近机类专业的技术基础课《机械设计基础》如何改革教学模式 ,培养新型人才 ,提出了以下设想 :建立具有“双师型”的教师队伍 ;装备机械设计专用教室 ;针对不同问题做小设计 ;改革考核方式     

《国际私法》课程的教学方法探讨

案例教学和差异比较法教学是适合《国际私法》课程特点的教学方式方法。其中 ,案例教学是将教学内容、教学目的和教学方法等融汇于特定的案例分析和评价的一种教学过程和教学组织架构 ,一般由案例的准备、呈现、问题、思与行、评价和回归教材 6个环节动态地建构而成 ;而差异比较法教学则是以一个特定的国家的法律为比较基准 ,通过对各被比较国家在同一问题上的法律规定作相应的对比和分析 ,找出相应的差异并进一步探索国际私法的基本原理和解决法律冲突的方法的一种教学过程和教学方法 ,一般包括准备、实体法上的差异比较、法律冲突、解决冲突的方案、冲突规范的比较、综合评价 6个步骤。教师在《国际私法》课程的教学过程中应精心设计和实施案例教学和差异比较法教学且应将二者结合运用     

有错检验情况下标准型抽样方案的设计

本文给出了在有错检验情况下标准型抽样方案的设计方法，讨论了误检概率ｐ，ｐ′对抽样方案的影响，并给出抽样方案的实际应用。     

Mapping water quality by local scoring

The mean density of bacteria in a water body is commonly monitored using quantal assay. This paper describes the use of local scoring in estimating the spatial distribution of mean density from quantal assay results at a set of point locations. An application to estimating the mean density of fecal conform bacteria in a coastal pond is presented. Model diagnostics based on a parametric bootstrap are also presented.     

Modelling map positional error to infer true feature location

The authors consider the issue of map positional error, or the difference between location as represented in a spatial database (i.e., a map) and the corresponding unobservable true location. They propose a fully model‐based approach that incorporates aspects of the map registration process commonly performed by users of geographic informations systems, including rubber‐sheeting. They explain how estimates of positional error can be obtained, hence estimates of true location. They show that with multiple maps of varying accuracy along with ground truthing data, suitable model averaging offers a strategy for using all of the maps to learn about true location.