Beyond demographic identities and motivation to learn: The effect of organizational identification on diversity training outcomes

There is a pressing need for better explanations of diversity training effectiveness so that organizations can administer training programs that facilitate positive intergroup interactions. In this paper, we consider the unique predictive effect of organizational identification on diversity training outcomes beyond the effects of the traditional predictors of demographic-based identities and motivation to learn across two samples of employees involved in diversity-related training at their employing organizations. Organizational identification predicted unique variance in voluntary participation in diversity training, diversity training-related knowledge application, motivation to transfer diversity training, and diversity training-related organizational citizenship behavior intentions. Research and practitioner implications are discussed based on our findings.     

Expert system application for prioritizing preventive actions for shift work: shift expert

Introduction. Shift patterns, work hours, work arrangements and worker motivations have increasingly become key factors for job performance. The main objective of this article is to design an expert system that identifies the negative effects of shift work and prioritizes mitigation efforts according to their importance in preventing these negative effects. The proposed expert system will be referred to as the shift expert. Methods. A thorough literature review is conducted to determine the effects of shift work on workers. Our work indicates that shift work is linked to demographic variables, sleepiness and fatigue, health and well-being, and social and domestic conditions. These parameters constitute the sections of a questionnaire designed to focus on 26 important issues related to shift work. The shift expert is then constructed to provide prevention advice at the individual and organizational levels, and it prioritizes this advice using a fuzzy analytic hierarchy process model, which considers comparison matrices provided by users during the prioritization process. An empirical study of 61 workers working on three rotating shifts is performed. After administering the questionnaires, the collected data are analyzed statistically, and then the shift expert produces individual and organizational recommendations for these workers.     

基于SPA-VFRM的城市要害系统综合应急能力研究

为反映城市要害系统综合应急能力的发展现状及过程,在分析城市要害设施系统构成与面临的主要灾害类型基础上,提出从充分性、精确性、抵御性和及时性4个维度评价应急能力的思路,建立城市要害系统综合应急能力评估指标体系,并应用层次分析法与变异系数法确定指标综合权重,结合集对分析（SPA）与可变模糊识别模型（VFRM）构建城市要害系统综合应急能力的评价模型;运用该模型实证分析某市要害系统综合应急能力发展现状。实证表明:该市要害系统综合应急能力呈现“波浪式升高”的动态发展趋势,灾害抵御能力是构成综合应急能力的主要方面;3种方法的评价结果排序基本一致,表明该模型的评估结果稳健、可靠,能够有效反映城市要害系统综合应急能力发展情况。     

基于模糊贝叶斯网络的煤气化职业健康风险分析

针对煤气化行业职业健康风险影响因素不确定及模糊的特点,建立了职业健康风险计算模型。该模型将模糊数学与贝叶斯网络相耦合,模拟事件概率,找出导致风险的主要因素。通过分析煤气化行业中存在的多种风险因素,应用问卷调查法和模糊集理论模拟了根节点的发生概率,得出职业健康风险概率的预测值;应用贝叶斯网络反向推理的功能计算根节点后验概率并排序,确定了薄弱环节。该模型不仅能解决概率缺失情况下的风险量化推算问题,定量进行职业健康风险评估,还可以实现关键因素的识别,并能有针对性地提出改进措施,为职业健康风险预防提供决策依据。     

基于模糊评价的VDT系统搜索策略绩效形成机理研究

为优化视觉显示终端（VDT）结构性搜索界面的布局,提高作业绩效和安全,设计了VDT系统搜索实验,构建了搜索目标位置在4个主观偏好指标下的Pythagorean模糊集决策矩阵,运用交互式多准则决策（TODIM）法计算各目标位置偏好的总体优势度并排序;同时对VDT系统搜索实验中各目标位置的绩效进行方差分析并排序,分析系统搜索策略下作业者对目标位置的主观偏好与绩效之间的关系。研究结果表明:基于系统搜索策略的VDT作业绩效在不同目标位置差异显著;导致绩效差异的根本原因是作业者对搜索目标位置的主观偏好度,而不是搜索目标的位置属性;除中心区域外,偏好度高的区域搜索绩效要优于偏好度低的区域。     

一株甲醛降解真菌Aspergillus spp.H4的分离鉴定

甲醛是一种广泛使用和很重要的化工原材料,但它同时也是对大多数生物有机体有高毒性的物质。通过添加甲醛的选择性培养基从淤泥里分离了一株甲醛耐受真菌,将其接种于加孟加拉红的PDA培养基、察氏培养基、麦芽汁培养基平板培养,观察它的培养特征和孢子结构,结合DNA提取、PCR扩增、产物测序、GenBank比对等分子鉴定手段,结果表明:其培养特征、显微特征和黄曲霉(Aspergillus flavus)相似,18SrDNA序列与黄曲霉(Aspergillus flavus)同源率达99.8%。我们把它命名为Aspergillus flavus H4。该真菌最适生长pH值为pH5.5,在培养的144h内ρ(甲醛)从1241mg·L-1下降到4mg·L-1。在培养的96h内ρ(甲醛)下降迅速,A值上升缓慢,当ρ(甲醛)下降到10mg·L-1时,也就是120h时,A值迅速上升,ρ(甲醛)下降缓慢。结论是这株Aspergillus flavus H4是甲醛耐受(降解)真菌。     

高产黑色素菌株的分离及鉴定

对从土壤中分离出的321株菌株进行了筛选,得到1株高产胞外黑色素的菌株,比较了其在不同培养基上产黑色素的能力.初步确定该菌株为链霉菌属.该菌黑色素产量高,约为0.70g/L,在产黑色素的微生物中,链霉菌可以作为一类新的菌种资源.图2表1参15     

一些硝化细菌的分离与鉴定

采用硝化细菌选择培养基从土壤、污水中筛选获得了 10株细菌 (X0 1～X10 ) ,经革兰氏染色及生理生化鉴定均为革兰氏阴性菌 ,呈杆状或球状 ,均能够利用亚硝酸盐 .电镜观察发现 ,这 10株细菌均具有比较复杂的细胞膜结构 ,与报道的硝化细菌所特有的膜结构相同 .对硝化细菌的特征性基因norB进行检测结果表明 ,所有菌株均可扩增出该基因 .初步判断所筛选的细菌为硝化细菌 ,依据《伯杰细菌鉴定手册》进行分类 ,主要为硝化杆菌、硝化球菌和硝化刺菌属等 .图 3表 4参 15     

嗜盐光合细菌的分离鉴定及其营养成分分析

从大连海岸的海泥中分离到 4株海洋光合细菌 :菌株C4 10、菌株DS2、菌株E3 和E4,它们都能在厌氧光照下营光异养生长 ,菌株C4 10还能够利用还原性硫化物营光自养生长 .依菌对NaCl的需求 ,菌株C4 10、DS2归属于嗜盐光合细菌 ,菌株E3 和E4属于耐盐光合细菌 .根据形态和培养特征、生理生化特征、光合作用内膜结构、泛醌组成、(G +C)的摩尔百分比等指标 ,菌株C4 10鉴定为Rhodovulumsulfidophilus (嗜硫小红卵菌 )、菌株DS2鉴定为Rhodobiummarinum (海红菌 )、菌株E3 和E4鉴定为Rhodobacterazotoformans.4株菌的营养成分分析表明 ,它们的细胞的最大生长量为 4× 10 9mL-1.粗蛋白含量占细胞干重的 5 5 %左右 ,菌株DS2高达 6 4 .2 % .4菌株所含氨基酸种类齐全 ,特别具备人和动物所必需的氨基酸 .4株菌均含有辅酶Q10和类胡萝卜素 .其中菌株C4 10的类葫萝卜素含量最高 .图 1表 6参 14     

NONLINEAR MODELING AND PREDICTION OF A RIVER FLOW SYSTEM1

ABSTRACT: Model estimation and prediction of a river flow system are investigated using nonlinear system identification techniques. We demonstrate how the dynamics of the system, rainfall, and river flow can be modeled using NARMAX (Nonlinear Autoregressive Moving Average with eXogenuous input) models. The parameters of the model are estimated using an orthogonal least squares algorithm with intelligent structure detection. The identification of the nonlinear model is described to represent the relationship between local rainfall and river flow at Enoree station (inputs) and river flow at Whitmire (output) for a river flow system in South Carolina.