可靠性强化试验技术在平板电视电源模块研发中的应用

简要介绍了可靠性强化试验技术原理与特点,总结了其在平板电视电源模块研发阶段中的应用方法,着重阐述了试验过程和五个类型的试验剖面;引述了激发应力范围的统计学方法,并给出了部分产品应用实施可靠性强化试验技术的典型案例,说明其在激发暴露产品设计、工艺缺陷等方面的突出效果。     

赤潮灾害经济损失评估技术方法

为有效应对赤潮灾害防灾减灾、灾后救援及管理的需求,在综合分析前人提出的赤潮灾害损失评估技术方法的基础上,参考赤潮灾害对受灾体的危害特点,结合实际工作的需求及在实际中可获取的业务数据,提出了赤潮灾害经济损失评估指标体系;根据灾害经济学理论,借鉴其他自然灾害经济损失评估的先进思想,采用市场价格法,分别建立了包括海水养殖业经济损失、滨海旅游业经济损失、赤潮灾害业务与应急监测费用和赤潮灾害处置费用的赤潮灾害经济损失评估模型;最后,提出了赤潮灾害损失评估的技术流程。     

用水协会运行绩效及其影响因素分析——基于江西省3949个用水协会的实证研究

近年来我国用水协会的数量呈爆炸式增长,但学者对其运行绩效及影响因素的研究不够全面和深入。论文使用江西省11个市3 949个用水协会数据,对用水协会的运行绩效及其影响因素进行实证研究。研究表明,是否注册、参与农户数、组建边界、协会主要领导人产生方式、是否有工程产权证、灌溉设施完好率、灌区规模对用水协会运行绩效有显著正影响;而租用和借用办公场所、协会工作人员数、协会起源、协会主要领导人身份则有显著负影响。要使用水协会运行良好,应重视协会的注册工作,完善协会主要领导人产生方式,控制协会工作人员规模,深化小型农田水利工程设施产权制度改革。     

省会城市机动车环保监管部门管理对策研究

贵阳市机动车排气污染防治管理中心成立以来,在机动车环保监管方面做了许多有益的探索和思考,得到国家环保部、省环保厅的充分肯定和表扬,得到了市民的大力支持,先后有长春、昆明、重庆等多个省会城市前来学习调研。文章简述了全国省会城市机动车环保监管现状;介绍了贵阳市机动车排气污染防治管理中心的运行管理情况,分析管理过程中存在的问题和积累的经验;提出修改完善地方法规、强化机构能力建设、制定从业资质认定地方标准等管理对策和建议。     

屏蔽电机主泵双金属飞轮飞射物对承压边界完整性破坏作用

目的掌握反应堆冷却剂泵双金属飞轮飞射物对承压边界完整性的影响规律。方法基于ANSYS/LS-DYNA对飞轮保持环失效后钨合金块与承压边界的碰撞过程进行分析,模拟承压边界在重要因素(电机壳厚度、钨合金块数)的影响下对飞轮飞射物的包容过程。结果在保持飞射物入射初速度不变的情况下,当电机壳厚度小于118 mm时,发生非包容性失效。改变钨合金块数(4、8、12、16块),可以发现钨合金块数越多,飞射物对承压边界施加的破坏能量就越小。结论增加电机壳厚度、钨合金块数有利于承压边界能够很好地包容住所有飞射物。该研究成果对屏蔽电机主泵惰转飞轮的可靠性设计具有重要意义。     

行星传动起升机构飞车原因分析

建立行星传动起升机构电动机飞车的模型,计算电动机失电后各瞬间重物的速度、加速度,电动机的转速,从而分析事故的原因。     

Characteristics of animal-related motor vehicle crashes in select National Park Service units—United States, 1990–2013

Objectives: Nationally, animal–motor vehicle crashes (AVCs) account for 4.4% of all types of motor vehicle crashes (MVCs). AVCs are a safety risk for drivers and animals and many National Park Service (NPS) units (e.g., national park, national monument, or national parkway) have known AVC risk factors, including rural locations and substantial animal densities. We sought to describe conditions and circumstances involving AVCs to guide traffic and wildlife management for prevention of AVCs in select NPS units.

Methods: We conducted an analysis using NPS law enforcement MVC data. An MVC is a collision involving an in-transit motor vehicle that occurred or began on a public roadway. An AVC is characterized as a collision between a motor vehicle and an animal. A non-AVC is a crash between a motor vehicle and any object other than an animal or noncollision event (e.g., rollover crash). The final data for analysis included 54,068 records from 51 NPS units during 1990–2013. Counts and proportions were calculated for categorical variables and medians and ranges were calculated for continuous variables. We used Pearson’s chi-square to compare circumstances of AVCs and non-AVCs. Data were compiled at the park regional level; NPS parks are assigned to 1 of 7 regions based on the park’s location.

Results: AVCs accounted for 10.4% (5,643 of 54,068) of all MVCs from 51 NPS units. The Northeast (2,021 of 5,643; 35.8%) and Intermountain (1,180 of 5,643; 20.9%) regions had the largest percentage of the total AVC burden. November was the peak month for AVCs across all regions (881 of 5,643; 15.6%); however, seasonality varied by park geographic regions. The highest counts of AVCs were reported during fall for the National Capital, Northeast/Southeast, and Northeast regions; winter for the Southeast region; and summer for Intermountain and Pacific West regions.

Conclusions: AVCs represent a public health and wildlife safety concern for NPS units. AVCs in select NPS units were approximately 2-fold higher than the national percentage for AVCs. The peak season for AVCs varied by NPS region. Knowledge of region-specific seasonality patterns for AVCs can help NPS staff develop mitigation strategies for use primarily during peak AVC months. Improving AVC data collection might provide NPS with a more complete understanding of risk factors and seasonal trends for specific NPS units. By collecting information concerning the animal species hit, park managers can better understand the impacts of AVC to wildlife population health.     

Operational leeway in work situations: do ergonomic risk assessment tools consider operational leeway for job analysis?

Our study shows that information on operational leeway is limited in the originator articles of the ergonomic risk assessment tools for prevention of musculoskeletal disorders (MSDs). The tools’ underlying theoretical models do not consider the indicators of operational leeway, and they cannot determine the sufficiency of the situational operational leeway in a work situation. Consequently, regulation of the activity, which ensures the performance goals and the individual's health, has been overlooked. The lack of literature on indicators of situational operational leeway is one of the reasons for this deficit. Defining the indicators for this concept would be an innovation in the approach of MSD risk prevention. Developing empirically the concept of situational operational leeway in risk assessment tools would help to progress the current approach of MSD prevention. This study therefore proposes indicators of situational operational leeway to increase the representativeness and reliability of the risk assessment tools for MSDs.     

Driving self-regulation and ride service utilization in a multicommunity,multistate sample of U.S. older adults

Objectives: This study examined a multicommunity alternative transportation program available 24 hours a day, 7 days a week, for any purpose, offering door-through-door service in private automobiles to members who either do not drive or are transitioning away from driving. Specific aims were to describe the characteristics of members by driving status and ride service usage of these members.

Methods: Data came from administrative records maintained by a nonprofit ride service program and include 2,661 individuals aged 65+ residing in 14 states who joined the program between April 1, 2010, and November 8, 2013. Latent class analysis was used to group current drivers into 3 classes of driving status of low, medium, and high self-regulation, based on their self-reported avoidance of certain driving situations and weekly driving frequency. Demographics and ride service use rate for rides taken through March 31, 2014, by type of ride (e.g., medical, social, etc.) were calculated for nondrivers and drivers in each driving status class.

Results: The majority of ride service users were female (77%) and aged 65–74 years (82%). The primary method of getting around when enrolling for the transportation service was by riding with a friend or family member (60%). Among the 67,883 rides given, nondrivers took the majority (69%) of rides. Medical rides were the most common, accounting for 40% of all rides.

Conclusions: Reported ride usage suggests that older adults are willing to use such ride services for a variety of trips when these services are not limited to specific types (e.g., medical). Further research can help tailor strategies to encourage both nondrivers and drivers to make better use of alternative transportation that meets the special needs of older people.