Psychological Research Online: Report of Board of Scientific Affairs' Advisory Group on the Conduct of Research on the Internet.

As the Internet has changed communication, commerce, and the distribution of information, so too it is changing psychological research. Psychologists can observe new or rare phenomena online and can do research on traditional psychological topics more efficiently, enabling them to expand the scale and scope of their research. Yet these opportunities entail risk both to research quality and to human subjects. Internet research is inherently no more risky than traditional observational, survey, or experimental methods. Yet the risks and safeguards against them will differ from those characterizing traditional research and will themselves change over time. This article describes some benefits and challenges of conducting psychological research via the Internet and offers recommendations to both researchers and institutional review boards for dealing with them. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

浙江省硫酸工业进展

介绍近6年来浙江省的硫酸产能和产量及下游耗酸产业结构.浙江省2005年硫酸产量占全国总产量的3%,预计2006年产量将达到1 600 kt.建议缓建硫酸装置,积极发展耗酸行业,控制进口酸量,加强企业间的协调,以使浙江省的硫酸市场在新的供需形势下建立起新的平衡.     

Psychological Stress Exacerbates Inflammation of the Ileum via the Corticotropin-Releasing Hormone-Mast Cell Axis in a Mouse Model of Eosinophilic Enteritis

The effects of psychological stress on eosinophilic gastrointestinal disorders have not been elucidated. This study investigated the effects of psychological stress in a mouse model of eosinophilic enteritis (EoN). BALB/c mice were treated with ovalbumin (OVA) to create an EoN model and subjected to either water avoidance stress (WAS) or sham stress (SS). Microscopic inflammation, eosinophil and mast cell counts, mRNA expression, and protein levels of type 2 helper T cell (Th2) cytokines in the ileum were compared between groups. We evaluated ex vivo intestinal permeability using an Ussing chamber. A corticotropin-releasing hormone type 1 receptor (CRH-R1) antagonist was administered before WAS, and its effects were analyzed. WAS significantly increased diarrhea occurrence and, eosinophil and mast cell counts, and decreased the villus/crypt ratio compared to those in the SS group. The mRNA expression of CRH, interleukin IL-4, IL-5, IL-13, eotaxin-1, and mast cell tryptase β2 significantly increased, and the protein levels of IL-5, IL-13, and OVA-specific immunoglobulin E (IgE) also significantly increased in the WAS group. Moreover, WAS significantly increased the intestinal permeability. The CRH-R1 antagonist significantly inhibited all changes induced by WAS. Psychological stress exacerbated ileal inflammation via the CRH-mast cell axis in an EoN mouse model.     

计及负荷转移需求响应的低碳数据中心光储容量优化配置

为了解决高耗能数据中心低碳化转型问题,提出一种计及负荷转移需求响应的低碳数据中心光储容量配置方法。根据延时特性将数据中心负载分为交互性负载与延时性负载,通过比特-瓦特变换与数据中心电能使用效率得出负载与数据中心能耗之间的关系,以总净现值成本最低为目标函数,考虑清洁能源高渗透率水平、数据流需求响应管控约束,获得数据中心的光储容量配置结果。算例验证了所提方法的有效性。     

电解铝工业园区的源荷协同优化配置方法

随着风电和光伏并网容量的不断增加,其固有的波动性与间歇性特征加剧了火电机组调峰的难度。电解铝负荷具有耗电量大、调节速度快等特点,可作为负荷侧灵活性资源参与系统规划。分析了电解铝负荷的生产原理与供电方式,推导了电解铝负荷的功率与产量的关系,进而建立了电解铝负荷的多阶段需求响应模型。针对电解铝工业园区,以新能源场站的建设成本与工业园区电力系统的运行成本最小为目标,计及电解铝负荷的调节时间、调节深度等特性,建立了考虑电解铝负荷需求响应的源荷协同优化配置模型,促进电解铝负荷与火电机组、可再生能源的协调互补。在求解时,使用变量替换、大M法对模型中的非线性约束进行线性化,将原问题转化为混合整数二次规划问题,从而实现利用商业求解器快速求解。采用实际算例进行仿真计算,结果表明所提方法可以同时兼顾系统经济性与新能源利用率,实现电力系统经济优质运行的目标。     

浅论适宜老年人的居住区户外闲暇环境

从我国人口老龄化问题出发,以老年人的生理机能与心理需求为依据,在对居住区的户外环境的调查的基础上,对目前存在的问题进行分析,探讨了适合老年人的居住区户外闲暇环境的设计原则。     

无线传感器网络自适应紧急上报与兴趣命令协议

针对无线传感器网络的节能要求,提出了自适应断链恢复、事件源数据融合、信道预约等新技术,进而提出了一种新的MAC层网络协议。该协议由紧急上报和兴趣命令驱动数据传输,适用于大规模数据采集与环境监测。与其他同类型协议比较的仿真结果表明,该协议具有更好的节能效果和更短的延时。     

基于jBPM4的临时动态性需求研究

介绍了国内目前的工作流领域特点,尤其对临时动态性需求(会签、撤销、任意回退等)的各种场景进行了分析,提出了基于jBPM4的解决思路及一种动态路由的方法,以解决临时回退的问题.     

住宅室内热环境与光环境互动关系的探讨

通常,电光源在室内照明时会产生热量,并对人体的热舒适产生一定的影响;同时,室内光源色温的变化会引起人们在心理上对热环境感受的差异.有些住宅由于灯光组合设计单一, 住户在夏季最炎热时,往往减少室内照明电光源的开启数量达到舒适要求,从而降低了室内的照度,影响了光环境的质量;由于灯光设计缺乏足够的应变功能,到了家庭团聚、会客或冬季较冷的时候又会感到灯光有些昏暗.因而,建立和谐的光和热建筑物理环境,不仅应达到生理上的舒适,还应注意心理舒适的特殊要求.     

考虑边信息的多层贝叶斯需求预测模型

随着工业互联网经济的发展,需求的不确定性日益增大,为提高需求预测的准确性,提出一个考虑边信息的多层贝叶斯需求预测模型(DFSI)。DFSI模型通过构造隐层的网络结构以实现对客户需求更加精确的刻画,该隐层结构主要包含两组参数:一组用于描述客户需求在时间上固有的连续性特征,另一组则用于融合相关的边信息特征。进一步,以贝叶斯推断为理论基础,以最大化后验概率为目标,推导出了DFSI的优化目标,并基于梯度下降方法设计了相应的求解算法。使用京东商城及某制造企业的真实销售数据对提出的模型进行了检验。结果显示,与常用的需求预测模型相比,DFSI能获得更好的预测结果。