国家潮流能试验场选址决策指标体系与分析方法

国家潮流能试验场是潮流能开发利用技术领域的海上公共试验与服务平台。目前国内尚没有海上试验场的建设经验,系统的选址决策标准仍处于空白阶段。本文在对与试验场建设相关的影响因素进行分析与归纳总结的基础上,提出了国家潮流能试验场选址决策的指标体系和分析方法。通过选址方法的研究,对丰富完善国家海洋能试验场标准体系、加快推进国家海洋能试验场建设具有重要意义。     

O／R mapping技术比较研究

针对当前出现的越来越多的O/R Mapping技术,对其中影响最大的几种实现技术进行了深入的研究,并通过实验数据对它们进行了详细的分析和比较。     

一种基于元启发式策略的迭代自学习K-Means算法

类内误差平方和最小化的聚类准则求解是NP难问题,K-Means采用的迭代重定位方法本质上是一种局部搜索的爬山算法,因此聚类结果对初始代表点的选择非常敏感,只能保证局部最优.为此,引入元启发式策略,通过建立评估函数对K-Means初始代表点和目标函数之间的依赖关系进行近似,然后利用近似评估函数指导新的初始代表点的选择,构成一种迭代自学习框架下的K-Means算法.实验表明算法可以很好地克服K-Means对初始代表点的依赖性,获得较高质量的聚类结果.     

生物芯片扫描仪研究进展

简要介绍生物芯片的基本概念以及生物芯片检测装置的国内外发展动态;分别介绍了本文设计的CCD系统生物芯片检测仪和激光共聚焦生物芯片扫描仪的原理、结构、工作状况以及设备的技术参数。最后指出更高分辨率(小于1μm)的生物芯片扫描仪是该设备今后的发展趋势。     

水文土壤学理论及其应用研究进展

围绕水文土壤学的基本理论和核心科学问题,从地球关键区理论出发,介绍了水文土壤学的基本理论框架、水文土壤学所能填补的知识鸿沟,并回顾了水文土壤学在农业、流域管理、面源污染、湿地保护和环境政策制定以及土壤传递函数等方面的应用,最后对水文土壤学的发展和应用做了展望。     

访问控制框架及其在Linux中的应用研究

简要介绍了ISO通用访问控制框架,比较详细地阐述和分析了当前几种主要的访问控制框架理论及其在Linux中的实现,对这几种访问控制框架的相同点和不同点进行了比较,最后指出了这些访问控制框架存在的一些问题及今后的发展趋势.     

车辆检测线工位检测软件的研制

探讨了车辆检测线工位检测软件的开发.软件的开发以面向对象理论为基础,综合运用了UML、CASE工具、Java及相应的集成开发环境,强调了软件框架和设计模式的运用.简介了车辆检测行业的基本情况和现有工位检测软件的基本功能、组成及不足,然后将系统研制分为系统分析、系统设计和系统实现三部分并作了详细介绍;探讨了工位检测软件的开发.最终得到一个可配置、跨平台、高可靠性的检测软件.     

A heterogeneous multi-criteria multi-expert decision-support system for scoring combinations of flood mitigation and recovery options

In this study, we developed an innovative operational decision-support system (DSS) based on flood data and mitigation or recovery options, that can be used by both naïve and expert users to score portfolios of flood mitigation or recovery measures. The DSS combines exposure (i.e., economic, social, or environmental values at risk) and resilience (i.e., protection of the main equilibrium functions of human and physical systems). Experts from different fields define indices and functions, stakeholders express their attitudes towards risk, relative weights, and risk perceptions, and both groups use a shared learning process for risk assessment. The DSS algorithms include the “technique for order performance by similarity to ideal solution” (TOPSIS) and the “basic linguistic term set” (BLTS) methods for heterogeneous multi-criteria multi-expert decision-making. Decisions are illustrated using fixed or bounded values of flood depth, duration, and frequency, with plausible parameter values, for a case study of Cesenatico. The best mitigation option was construction of sand dunes and development of evacuation plans, which achieved 32% of the potential net benefit. The best recovery option was construction of sand dunes and development of evacuation plans and insurance schemes, which achieved 42% of the potential net benefit. Mitigation options outperformed recovery options whenever the relative importance of exposure with respect to resilience was greater than 95%. Sensitivity analysis revealed that the best mitigation option was most robust with respect to flood duration and depth; the best recovery option was most robust with respect to the relative weights attached to economic, social, and environmental factors. Both options were similarly robust with respect to interdependencies between the options.     

A guiding framework and approach for implementation research in substance use disorders treatment.

This paper introduces readers to the concepts of implementation science, implementation theory, and implementation frameworks and models. A wide range of models has been published in the literature related to implementation. The paper will present an overview of the Consolidated Framework for Implementation Research (CFIR), which is a comprehensive typology that unifies and consolidates the array of constructs that influence implementation from the perspective of these models. The CFIR is then used to evaluate implementation models used in studies of substance use disorder (SUD) treatments. Implementation research is scarce, with few prospective studies of theory-driven implementation. We assert that future research in SUD needs to meet three overarching objectives to promote wider implementation of evidence-based practices: (a) differentiation of core versus adaptable components of evidence-based interventions need; (b) development of methods to design implementation strategies, effectively adapted to the broad context; and (c) design and testing of predictive models to assess likelihood of effective implementation and prospects for sustainability while taking into account salient contextual factors. A recommended strategy for accomplishing these objectives is described. (PsycINFO Database Record (c) 2011 APA, all rights reserved)