Non-ketotic hyperglycinaemia: Glycine/serine ratio in amniotic fluid–an unreliable method for prenatal diagnosis

We describe a prenatal diagnosis of a fetus at risk for non-ketotic hyperglycinaemia based on the glycine/serine ratio in amniotic fluid at 16 weeks of gestation. Although the glycine level and the glycine/serine ratio in amniotic fluid were within the normal range, the fetus was affected and therefore a false-negative prediction was made. The reliability of this method is questioned.     

用灰色组合模型预测环保投资

针对环保投资变化的非平稳性，采用灰以ＧＭ（１，１）模型分析环保投资的趋势项并与历史环保投资比较得一系列残差，然后应用人工神经网络模型进行了正以提高精度。     

行为科学关于安全控制的研究述评与未来研究展望

从行为科学的视角,探讨人的因素在事故发生过程中的作用,取得了许多重要的进展。笔者从个体因素、群体因素、组织因素以及跨水平的多因素交互作用等4个方面总结了行为科学关于安全控制的相关研究,分析了各种因素对安全绩效的影响。在此基础上,提出一个包含个体、群体和组织因素在内的整合性事故发生路径模型,指出行为科学关于安全控制的未来研究方向,尤其是需要深入揭示一些高阶变量,如领导、组织学习等对安全生产的影响机制,以及采用跨层次的方法来探讨组织因素、群体因素和个体因素在安全生产过程中的交互作用。     

Inherently safer design review and their timing during chemical process development and design

This paper discusses the enhancement of inherent safety review and its implementation in the chemical process development and design. The aim is to update and improve the existing inherently safer design review (ISDR) practices during design of chemical process plant by exploiting major accident cases from the U.S. Chemical Safety Board (CSB) and Failure Knowledge Database (FKD). Although the basic guidelines to conduct ISDR during design phase are available, however they are too general and incomplete. The review criteria and their best timing for application are still missing. This paper attempts to develop the accident-based ISDR for chemical process plant design. The proposed accident-based ISDR is supported with detail review criteria for each phase of process design. The timing of ISDR application is corresponding to the common design tasks and decisions made in the design project. Therefore, timely design review could be done at the specific design task and the findings help designer to make a correct decision making.     

Active learning climate and employee errors: The moderating effects of personality traits

This study developed and tested a cross‐level model of the relationship between two components of active learning climate—enactive exploration and guided learning—and employee errors, and the moderating roles of the individual's traits of openness to experience and conscientiousness. The study examined the medical errors made by 142 resident physicians in 22 hospital departments. Results demonstrated significant interactions between climate and traits: when an individual had a low level of the trait of openness to experience, there was a curvilinear relationship between enactive exploration climate and number of errors. With a high level of openness to experience, the enactive exploration climate was positively associated with the number of errors up to a certain point. In addition, when an individual had a low level of conscientiousness, there was a negative association between guided learning climate and number of errors; with a high level of conscientiousness, there was a positive association between guided learning climate and number of errors. Thus, individual performance was better when the climate complemented the individual's lack of a trait. When the level of the individual's trait was high, the climate intensified the already pronounced trait up to an extent that impaired the individual's performance. Copyright © 2015 John Wiley & Sons, Ltd.     

THE INFLUENCE OF (x,y) UNCERTAINTY ON PREDICTION ERROR AND CONTOUR LINES FROM A THREE-DIMENSIONAL SURFACE1

ABSTRACT: In geohydrology, three-dimensional surfaces are typically represented as a series of contours. Water levels, saturated thickness, precipitation, and geological formation boundaries are a few examples of this practice. These surfaces start as point measurements that are then analyzed to interpolate between the known point measurements. This first step typically creates a raster or a set of grid points. In modeling, subsequent processing uses these to represent the shape of a surface. For display, they are usually converted to contour lines. Unfortunately, in many field applications, the (x, y) location on the earth's surface is much less confidently known than the data in the z dimension. To test the influence of (x, y) locational accuracy on z dimension point predictions and their resulting contours, a Monte Carlo study was performed on water level data from northwestern Kansas. Four levels of (x, y) uncertainty were tested ranging in accuracy from one arc degree-minute (± 2384 feet in the x dimension and ± 3036 feet in the y dimension) to Global Positioning Systems (GPS) accuracy (± 20 feet for relatively low cost systems). These span the range of common levels of locational uncertainty in data available to hydrologists in the United States. This work examines the influence that locational uncertainty can have on both point predictions and contour lines. Results indicate that overall mean error exhibits a small sensitivity to locational uncertainty. However, measures of spread and maximum errors in the z domain are greatly affected. In practical application, this implies that estimates over large regions should be asymptotically consistent. However, local errors in z can be quite large and increase with (x, y) uncertainty.     

Trend analysis of machinery safety for globalization: From the Japanese point of view

In Japan, the work of translation to JIS faced many obstacles. Support groups in Western countries have submitted comments on technical problems. The movement to standard harmonization in safety has rapidly developed in international standardization. The movement for global standardization is developing throughout all the economic areas of the EU. The aim of the Machine Directive that comes into effect in stages is to provide an international formula for a type of qualification in machine safety. EN292 is a nucleus for related standards, which are like a group of planets in a universe. It is a European standard as well as a guideline for implementation, showing practical safety requirements for machines. Horizontal standards, such as EN954 and IEC61508, apply in actual practice.     

复杂人机系统班组人误模型与量化分析

讨论一个班组人员行为模型,即包括:任务模型、事件模型、班组模型和人-机交互模型4个模块,并用其模拟和分析事故状态下的运行班组对异常事故的响应过程;利用班组认知过程流程图模型表征事件发展过程中班组成员对事故的征兆识别、决策、计划和行动执行的响应过程;采用CREAM的量化分析技术,对核电站的蒸汽发生器管道破管事故的班组认知失误事件进行量化分析。     

影响我国民航飞行安全的个体与组织因素——基于HFACS框架的事件分析

主要通过民航事故征候(事件)的分析,对影响飞行安全的人的因素进行研究。数据分析主要采用编码分析的方法,结果发现:在个体层面,对事故征候影响顺序是技能差错、决策差错与知觉差错;机组内部的沟通与协调不畅在各个飞行阶段都存在;在组织层面,监督、资源管理、文化与氛围是比较有影响的组织因素;组织内部与外部的信息界面是飞行安全的隐患之一。与此同时,分析了该项目研究的不足之处,提出改善民航飞行安全的建并指出今后研究的方向。     

基于人差错纠正能力的人因可靠性模型研究

根据人-机系统中人的操作行为具有时序性和差错可纠正性的特点,结合船舶舱室行为形成主因子,开展船舶舱室人因可靠性研究。以人因失误的时序性和差错纠正参数为基础,建立人-机系统中操作者行为模式和人因失误事件树模型。通过对人的差错纠正能力的分析,开展人因可靠性量化模型纠正理论研究。最后,以船舶舱室操作台的监控任务人因可靠性为例进行量化计算,定量评估操作人员执行任务的可靠度。