基于ISM的建筑施工高处坠落事故致因分析

高处坠落是建筑工程事故统计中发生频率最高的一类事故,会造成极大的人员伤害和经济损失。通过分析123例典型高处坠落事故调查报告,采用关键词检索抽取出19种导致该类事故发生的致因要素;针对一般事故和较大事故分别对致因要素发生频率进行了统计,得出一般事故中人的因素更关键,较大事故中物的因素更关键。采用ISM模型进一步分析致因要素间的作用关系,构建了7个层级的高处坠落致因要素解释结构模型;对不同层级要素进行分析,发现其与频率度量有良好的一致性,最后得出行政监管和违法承发包两个致因要素是事故发生的深层原因。     

基于煤矿安全生产标准化的双控机制APP系统研究

针对我国煤矿安全生产标准化工作中数据采集的时效性差、数据录入工作量繁琐、数据汇总分析不明确的问题,利用易安卓编程语言与SQLite数据库技术,采用瀑布生命周期模型的软件开发方法,以《煤矿安全生产标准化考核定级办法》中双控机制的基本内容为依据,设计包括个人信息管理、法律知识库检索、安全风险分级管控、事故隐患排查治理、数据可视化分析、其他6大功能模块的APP系统。结果表明:该系统可提供适合相关管理人员使用的可视化界面,减少了复杂繁琐的工作量,为标准化工作的定点巡检与数据的完整性提供了良好的技术支持,也为非煤矿山、冶金、石油化工等行业的标准化工作实现信息化管理提供了较好的应用模式。     

浙江省萧山市山一村农村生态良性循环与系统管理研究 Ⅴ.农田病虫害综合防治试验与实施

本项调控工程分两步:1984—1986年在山一村106ha农田开展病虫害综合防治试验示范;1987—1989年将试验成果应用于生产。试验研究取得了明显的经济效益、生态效益和社会效益:农药用量比1983年前减少80.6％,稻谷中农药残留不超标(原有机氯农药666残留超标率31.6％);害虫天敌稻田蜘蛛增加83.3—180.0％,稻虱多索线虫增加2倍;防治农药成本减少53.7％。并制定了《山一村农田农药污染防治技术规程》,其主要内容有:开展病虫害“二查二定”,达到防治指标时用药;制定病虫害防治策略,在防治适期内用药;推广高效低残留农药,遵守农药安全间隔期;推广抗性良种,适施N肥,增施P、K肥;保护利用天敌,发挥天敌自然抑制作用。     

我国民用机场航空噪声影响现状及原因分析

描述了我国民用机场航空噪声影响的现状,通过调查发现航空噪声影响严重、比较严重、一般和轻微的民用机场数量分别占全国航班机场总数的0．83％、14．05％、14．88％和70．24％。论文分析了该问题在法规标准、管理、环境影响评价、规划控制和技术研究等5个方面原因。     

浅谈供应链企业之间动机控制机制

供应链管理强调供应链上节点企业及其活动的整体集成,其管理范围不仅包括企业内部的生产经营活动,而且涉及整体供应链管理技术,并且在管理中特别重视企业之间的合作.基于期望理论从动机控制机制角度浅谈供应链企业之间的运作.图1,参4.     

天空蓝色饱和程度与城市空气质量等级的相关性

以大气散射理论为基础,结合颜色学、大气环境监测及城市空气质量日报等相关原理,从理论分析与实证研究2个方面证实了天空蓝色饱和程度与城市空气质量等级之间存在着显著的负相关性,即:天空蓝色饱和程度越低,空气污染等级越高,空气质量状况越差;天空蓝色饱和程度越高,空气污染等级较低,空气质量状况越好;通过相关及回归分析与检验,制得“城市空气质量等级目测色卡”,适用于晴朗天气肉眼观察天空颜色,进而目测估计空气质量等级状况,以采取必要防护措施。     

调节细胞通透性促进天蓝色链霉菌蓝色素生物合成

在天蓝色链霉菌分批发酵中，36h时一次加入20mg/L的青霉素，色素浓度和分泌率分别提高了26．2％和39．2％；与一次性添加青霉素相比，分多次添加可使色素浓度再提高9％，但分泌率没有明显变化。DMSO浓度为6g/L时，色素浓工和分泌率较对照分别提高了20．5％和50％；2－50g/L的DMSO对菌体生长没有影响。36h时lg/L的吐温80，色素浓度和分泌率分别提高了16．9％和37．5％，60h时加入0.2g/L浓度的SDS，色素浓度较对照基本相当，但分泌率却提高了16．1％。图4表1参7     

悬挂链曝气技术应用于河流污染治理

在介绍了悬挂链曝气技术的特点和在复氧曝气方面的适用性的基础上,对该技术的局限性进行了阐述,并认为悬挂链技术为河流污染治理提供了一种新选择。     

Uncertainty, learning, and the optimal management of wildlife

Wildlife management is limited by uncontrolled and often unrecognized environmental variation, by limited capabilities to observe and control animal populations, and by a lack of understanding about the biological processes driving population dynamics. In this paper I describe a comprehensive framework for management that includes multiple models and likelihood values to account for structural uncertainty, along with stochastic factors to account for environmental variation, random sampling, and partial controllability. Adaptive optimization is developed in terms of the optimal control of incompletely understood populations, with the expected value of perfect information measuring the potential for improving control through learning. The framework for optimal adaptive control is generalized by including partial observability and non-adaptive, sample-based updating of model likelihoods. Passive adaptive management is derived as a special case of constrained adaptive optimization, representing a potentially efficient suboptimal alternative that nonetheless accounts for structural uncertainty.     

The control of water collection in honey bee colonies

A honey bee (Apis mellifera) colony adaptively controls the collection of water by its foragers, increasing it when high temperatures necesssitate evaporative cooling inside the hive and decreasing it when the danger of overheating passes. This study analyzes the mechanisms controlling water collection once it has begun, that is, how a colony's water collectors know whether to continue or stop their activity. M. Lindauer suggested that water collectors acquire information about their colony's need for more water by noting how easily they can unload their water to bees inside the hive. In support of this hypothesis, we found that a water collector's ease of unloading does indeed change when her colony's need for water changes. How does a water collector sense the ease of unloading? Multiple variables of the unloading experience change in relation to a colony's water need. Three time-based variables – initial search time, total search time, and delivery time – all change quite strongly. But what changes most strongly is the number of unloading rejections (refusals by receiver bees to take the water), suggesting that this is the primary index of ease of unloading. Why does a water collector's ease of unloading change when her colony's need for water changes? Evidently, what links these two variables is change in the number of water receivers. These are middle-aged bees that receive water just inside the hive entrance, then transport it deeper inside the hive, and finally smear it on the walls of cells or give it to other bees, or both. A colony increases the number of water receivers when its water need increases by having bees engaged in nectar reception and other tasks (and possibly also bees that are not working) switch to the task of water reception. Evidently the activation of additional water receivers does not strongly reduce the number of nectar receivers in a colony, since a colony can increase greatly its water collection without simultaneously decreasing its collection of rich nectar. This study provides a clear example of the way that the members of a social insect colony can use indirect indicators of their colony's labor needs to adaptively control the work that they perform.