Slow eyelid closure as a measure of driver drowsiness and its relationship to performance

Objective: Slow eyelid closure is recognized as an indicator of sleepiness in sleep-deprived individuals, although automated ocular devices are not well validated. This study aimed to determine whether changes in eyelid closure are evident following acute sleep deprivation as assessed by an automated device and how ocular parameters relate to performance after sleep deprivation.

Methods: Twelve healthy professional drivers (45.58 ± 10.93 years) completed 2 randomized sessions: After a normal night of sleep and after 24 h of total sleep deprivation. Slow eye closure (PERCLOS) was measured while drivers performed a simulated driving task.

Results: Following sleep deprivation, drivers displayed significantly more eyelid closure (P < .05), greater variation in lane position (P < .01) and more attentional lapses (P < .05) compared to after normal sleep. PERCLOS was moderately associated with variability in both vigilance performance (r = 0.68, P < .05) and variation in lane position on the driving task (r = 0.61, P < .05).

Conclusions: Automated ocular measurement appears to be an effective means of detecting impairment due to sleep loss in the laboratory.     

基于三角模糊数的HAZOP分析在石油化工装置中的应用

工艺危害分析强调运用系统的方法对危害进行辨识、分析,并采取必要的措施消除和减少危害。HAZOP分析能对工艺过程非常系统、全面的进行分析,但传统的HAZOP分析在量化风险时,对于偏差原因发生的可能性评价存在较大的主观性。本文对于没有统计资料的HAZOP分析偏差原因发生可能性,采用专家打分法,利用三角模糊数来表示其模糊发生概率。对于有统计资料的偏差原因,直接表示成三角模糊数。这种方法能够很好的表示HAZOP分析偏差发生概率。介绍了基于三角模糊数的HAZOP分析步骤,并在石油化工装置中进行了应用。这对HAZOP分析技术在石油化工装置中的推广具有重要意义。     

电离层对短波测向系统的影响分析

目的研究电离层对短波测向系统的影响。方法从电离层传播介质入手,分析路径偏离效应和波干涉效应的形成机理及其对短波测向的影响。结果电离层系统倾斜引起的测向误差可借助电离层长期预测模型、短期预测算法或电离层实时探测数据对测向方位偏差进行补偿。行波扰动不可预测,只能依据行波扰动观测结果进行测向误差校正。波干涉误差可通过时间平滑进行抑制。结论提升现有短波测向系统测向性能的根本途径是为短波测向系统配备电离层探测设备,准确获取系统覆盖区内电离层状态信息,并进行传播效应补偿。     

农业可持续发展状态评价指标(体系)框架及其分析

通过对农业活动、农业政策与农业环境变化关系的研究,提出了反映农业可持续发展状态的指标结构以及面向农业决策的状态指标分析框架,建议采用“离差法”来评价农业系统的可持续发展状态,其评价结果可以用来判断和制定正确的农业政策;同时还论述了状态评价的具体方法、步骤及评价标准     

Prevalence-adjusted optimisation of fuzzy models for species distribution

Most performance criteria which have been applied to train ecological models focus on the accuracy of the model predictions. However, these criteria depend on the prevalence of the training set and often do not take into account ecological issues such as the distinction between omission and commission errors. Moreover, a previous study indicated that model training based on different performance criteria results in different optimised models. Therefore, model developers should train models based on different performance criteria and select the most appropriate model depending on the modelling objective. This paper presents a new approach to train fuzzy models based on an adjustable performance criterion, called the adjusted average deviation (aAD). This criterion was applied to develop a species distribution model for spawning grayling in the Aare River near Thun, Switzerland. To analyse the strengths and weaknesses of this approach, it was compared to model training based on other performance criteria. The results suggest that model training based on accuracy-based performance criteria may produce unrealistic models at extreme prevalences of the training set, whereas the aAD allows for the identification of more accurate and more reliable models. Moreover, the adjustable parameter in this criterion enables modellers to situate the optimised models in the search space and thus provides an indication of the ecological model relevance. Consequently, it may support modellers and river managers in the decision making process by improving model reliability and insight into the modelling process. Due to the universality and the flexibility of the approach, it could be applied to any other ecosystem or species, and may therefore be valuable to ecological modelling and ecosystem management in general.     

对单项污染评价中污染分界线问题的讨论

根据数理统计的原理,将环境质量标准,平均值,标准偏差以及样本容量综合进行考虑,提出了污染分界线的计算公式,并以表格形式给出了不同显著性水平下,不同的相对标准偏差和样本容量所对应的污染分界线,对污染分界线与样本容量及相对标准的偏差的关系进行了讨论,指出提高监测精度和适当增加监测数据个数,可以使污染分界线接近评价标准。     

静电除尘器气流分布数值模拟

简要分析了电除尘器在干法除尘系统中的重要作用。指出了除尘效率的高低是衡量除尘系统的关键参数,而气流分布是影响电除尘器效率的重要因素。通过计算流体力学软件对电除尘器内部流场进行数值模拟。根据主要影响气流分布的因素确定了4种方案进行模拟,并对结果进行对比分析,最终为电除尘器气流分布的设计提供了建议。     

水中全盐量的电导法测定

本文介绍了用电导法测定水样中全盐量的新方法,与经典的重量法相比,具有快速、简便、准确的优点。经对水样分析,结果令人满意     

定性与定量评估4种重金属及2种农药混合物对费氏弧菌的毒性相互作用

重金属与农药共同暴露产生的联合毒性作用可以对实际环境产生潜在的风险。为了研究重金属与农药混合物在不同浓度比毒性相互作用(协同、拮抗与加和)及其定量评估相互作用大小,根据单个物质无观测浓度(NOEC)、5%效应浓度(EC5)、10%效应浓度(EC10)和50%效应浓度(EC50),设计3组混合物体系(即农药-农药、重金属-重金属和农药-重金属)分别按NOEC、EC5、EC10和EC50浓度比的12条混合物射线,测试单个化合物及混合物对以费氏弧菌的发光抑制急性毒性,利用浓度加和(CA)、独立作用(IA)、模型偏差比(MDR)及其观测值置信区间定性和定量评估12条混合物射线的毒性相互作用。结果表明,农药-农药二元混合物体系和农药-重金属六元混合物体系均产生明显的协同作用,其中农药-农药混合物体系中,混合物射线EE-NOEC在50%效应下协同作用大小达到30.6(MDRCA和MDRIA数值);混合物射线EE5、EE10的协同作用大小接近于混合物射线EE-NOEC,混合物射线EE50的效应大于15%时CA和IA计算的MDR值均在置信区间上限的上方,即混合物发生协同作用;农药-重金属混合物体系的4条混合物射线EE-NOEC、EE5、EE10和EE50在所有测试浓度水平的MDR值均在置信区间上限的上方,呈现出明显的协同作用;在50%效应下,混合物射线EE-NOEC、EE5、EE10和EE50的MDRCA和MDRIA值分别为4.05和4.91、6.12和7.98、3.70和4.60、2.62和2.59。重金属-重金属四元混合物体系除了EC50浓度比混合物表现出拮抗作用,其余混合物在所有测试浓度范围的MDR值均在置信区间范围内,均为加和作用。因此,混合物的毒性相互作用大小随着组分浓度比变化而发生变化。     

HAZOP分析技术改进研究

通过HAZOP分析技术研究,提出针对性的3方面改进措施:开发HAZOP偏差专家库,并在开发的辅助分析软件中进行自动关联提示,弥补分析成员经验不足;基于专业化的计划安排与分工控制分析过程,提高分析工作效率;简化分析范围,并借助偏差库的帮助简化重复工作。对开展HAZOP分析的时间给出了具体建议。最后,以改进的技术方案为基础,针对某装置HAZOP分析过程为例,与改进前HAZOP分析过程进行了对比。