对大水域电厂群温排水环境热影响研究的认识

对大水域电厂群温排水热影响课题研究的方向及路线提出了看法,即在热影响的预测和评估研究方面必须正视大水域电厂群温排水的特点,突破以往着眼于单一电厂的评估模式,提高数值模拟和物理模拟的精度,强化数值模拟和物理模拟之间的协同和互补作用;研发新的水质预报模型和大水域环境热容量的评估模式,建立大水域火、核电厂水环境管理信息系统。提出温排水余热的高效利用研究和水域水质温度标准的修订是水域环境热容量修复研究的主要内容。     

基于超图的生态环境修复模型的研究与应用

通过对生态环境修复过程中对各种影响因素的分析,根据水土流失的发生和分布的时空特性,结合超图数据结构的运算特点、USLE方程以及连接机制,利用GIS技术,对生态环境修复的时空变化规律进行了推理,建立了基于移动对象的超图时空推理模型,通过该模型在生态环境修复系统中的应用,可以对水土流失进行有效的监测、管理和防治,取得了良好的应用效果。     

综合康复措施治疗脊髓损伤中枢性疼痛的临床观察

目的:探讨综合康复治疗措施对脊髓损伤后中枢性疼痛的治疗效果.方法:对31例脊髓损伤后中枢性疼痛患者采用阿米替林、按摩、心理治疗及经皮神经电刺激(TENS)进行治疗.采用McGill疼痛问卷(McGill pain questionnaire,MPQ)、疼痛视觉模拟评分法(Visual Analogous Score,V...     

滹沱河石家庄市区段河道人工湖防渗技术研究

碾压胶结砂是一种创新技术,具有充分利用河道清淤的弃砂、经济、环保的特点.新型防渗材料膨润土防水毯(GCL)的透水性在≤5×10-11 m/s以下,既可满足防渗要求,又具有一定的微渗性,不会隔断与防水层下的水力联系.无毒无害,具有良好的环保性能.在已取得较为系统的室内试验研究成果的基础上,还需对该类防渗结构的整体防渗抗冲刷效能及碾压工艺等问题,进行仿真试验来验证它的可行性.     

甘肃中小型灌区节水改造的共性技术问题

甘肃省中小型灌区节水改造任务艰巨，在节水改造方向和技术路线、技术决策上存在一定的共性．包括以水资源承载能力确定灌区发展规模，根据作物要求分别确定灌溉标准等。因此，甘肃中小灌区节水技术改造有一些具有共性的需求，如灌区水循环的模拟和评价技术、渠道防冻胀技术、管道输水技术、非充分灌溉技术、耕地盐渍化控制技术和灌区分析评价技术。     

Review of Treating the juvenile offender.

Reviews the book, Treating the juvenile offender edited by Robert D. Hoge, Nancy G. Guerra, and Paul Boxer (see record 2008-02979-000). This book rejuvenates interest in treatment for juvenile offenders, outlining the important advances that have been made, key challenges that remain, and useful principles for effectively meeting these challenges. Key themes that are emphasised include the importance of evidence-based approaches, interventions that are sensitive to the ecological systems within which youth are embedded, and rehabilitative strategies that are closely informed by research on youths’ risks, needs, and strengths. This book does not deliver a quick manual on how to deliver a particular program, but instead carefully models how to think about and approach treatment. While the book remains accessible to beginners, it is written in a manner which will be thought-provoking and informative even for experts. Furthermore, it is likely to have the positive effect of leaving readers with a desire to learn and do more to improve current practices. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Self-esteem stability and depressive symptoms in acute stroke rehabilitation: Methodological and conceptual expansion.

Objectives: Explore the relationship of self-esteem level, self-esteem stability, and other moderating variables with depressive symptoms in acute stroke rehabilitation. Measures: One hundred twenty participants completed measures of state self-esteem, perceived recovery, hospitalization-based hassles, impairment-related distress, and tendency to overgeneralize negative self-connotations of bad events. Self-report of depressive symptoms was collected at admission and on discharge. Four regression analyses explored the relationship of self-esteem level and stability and each of 4 moderating variables (perceived recovery, hassles, impairment-related distress, and overgeneralization) with depressive symptoms at discharge. Results: Analyses indicated significant 3-way interactions in the 4 regression models. In general, individuals with unstable high self-esteem endorsed greater depressive symptoms under conditions of vulnerability (e.g., lower perceived recovery) than did individuals with stable high self-esteem. Under conditions of vulnerability, participants with stable low self-esteem indicated the highest levels of depressive symptoms. Implications: Self-esteem level and stability interact with psychological, environmental, and stroke-specific variables to predict depressive symptoms at discharge from stroke rehabilitation. This suggests the viability of self-esteem stability in exploring depressive symptoms in this setting and the complexity of emotional adjustment early after stroke. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A NEW METHOD FOR HANDLING MULTICRITERIA FUZZY DECISION-MAKING PROBLEMS USING FN-IOWA OPERATORS

We use fuzzy numbers to extend the traditional induced ordered weight averaging (IOWA) operator to present the fuzzy-number IOWA (FN-IOWA) operator, wherein fuzzy numbers are used to describe the argument values and the weights of the FN-IOWA operator, and the aggregation results are obtained by using fuzzy-number arithmetic operations. We also present a new method for ranking fuzzy numbers. Based on the proposed FN-IOWA operator and the proposed ranking method of fuzzy numbers, we present a new algorithm to deal with multicriteria fuzzy decision-making problems. The proposed algorithm can deal with multicriteria fuzzy decision-making problems in a more intelligent and more flexible manner.