高职院校环境监察专业教学改革研究

高职院校学生与本科院校学生的教育特点不同,高职院校环境监察专业有其特殊的专业特色。环境监察专业为了达到更好的教育目的,需要从人才培养、课程体系建设、教学方法改革和实践教学探索等方面入手,不断改革人才培养方案,才能满足社会对专业人才的需求。     

浅析篮球训练和比赛中合理补水的重要性

在篮球训练和比赛中,运动员丢失大量的汗液,使机体内水、电解质平衡紊乱.因此,运动前、中、后的合理补水对保持体内水和电解质的平衡,提高耐力,延迟疲劳的出现,从而提高运动能力非常重要.     

基于遗传神经网络模型的大气环境质量评价方法

设计了用遗传算法训练神经网络权重的新方法，实验结果显示了遗传算法快速学习网络权重和全局搜索的能力，有效地解决了BP算法的局部收敛问题。误差反向传播的遗传——神经网络(GA—BP)模型用于大气环境质量综合评价，具有简便、准确、客观和适应性强等优点。     

21世纪安全类专业专科培养目标与模式

安全类专业高等教育是培养安全人才的主要途径，对安全类专业人才的需求进行了简要的分析，以安全类专生高等教育体系的现状分析为基础指出。应重视该类专业的专科层次教育，并从当前的具体情况出发，探讨安全类专业专科层次的教育模式。     

石油建设施工中的安全管理与培训

在石油建设施工这个高危行业中,安全问题涉及工程项目的各个环节,其事故的发生主要与安全管理和个人的安全意识息息相关。本文以油田工程项目各个阶段的生产特征为依据,根据相关事故的调查,系统地介绍了石油建设施工中如何加强安全管理和培训工作。     

Recent developments in young driver education, training and licensing in Australia

Australian young driver education and training approaches have differed from the mandatory school-based programs found internationally; generally comprising voluntary programs conducted outside of licensing. This paper reports on recent developments pertaining to the pre-learner, learner, and provisional license stages. Given its important context, state-based graduated driver licensing systems are also reviewed. There has been a shift toward starting driver education younger (pre-learner), greater involvement of parents, and more school-based programs; many now conducted by licensing authorities. The majority of initiatives are yet to be evaluated, particularly relative to crash outcomes; however, some studies suggest other positive outcomes, including increased supervised practice and delayed licensure. Furthermore, the federal government is proceeding with plans for a national license-based program. Several jurisdictions have also announced the introduction of passenger and nighttime restrictions on provisional licenses. Together these initiatives offer promise of reductions in young driver-related fatalities and injuries in the very near future.     

基于LEC法的煤矿安全投资决策

利用基于作业条件危险性评价法(LEC)的综合评分决策法,对煤矿安全培训、通风除尘设施投资的合理性进行评价,分析了系数的取值过程并得到综合评分决策的合理度值.结果表明,基于LEC的综合评分决策法对煤矿安全投资合理度进行分析决策,具有直观、量化的优点,在一定程度上解决了安全投资规模难以把握的难题,可以对煤矿企业的安全投资提供合理化建议,便于管理者决策.     

构建科学合理的环境监测培训效果评估体系

以检验和提高环境监测培训活动的质量为目的,利用Kirkpatrick 4层评估模型,提出了构建环境监测培训效果评估体系的思路和方法,对如何明确评估对象、确定评估主体以及设计评估方案等问题进行了探讨。     

污染源自动监测异常数据识别规则及处理方法探索

基于大量污染源自动监测数据的特征分析与异常原因解析,探索建立针对自动监测异常数据的识别规则与标志处理方法,并通过模型训练实现了异常数据的自动标志.经实例验证,该方法可识别异常偏高、异常偏低、异常为0、迟滞不变、逻辑错误等5种类型的异常数据,按照数据有效性及异常原因进行标志处理,可以为后续数据分析及各类模型训练提供数据基...     

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.