Aerobic degradation of methyl tert-butyl ether by a Proteobacteria strain in a closed culture system

The contamination of methyl ten-butyl ether （MTBE） in underground waters has become a widely concerned problem all over the world. In this study, a novel dosed culture system with oxygen supplied by H2O2 was introduced for MTBE aerobic biodegradation. After 7 d, almost all MTBE was degraded by a pure culture, a member of β-Proteobacteria named as PMI, in a closed system with oxygen supply, while only 40% MTBE was degraded in one without oxygen supply. Dissolved oxygen （DO） levels of the broth in closed systems respectively with and without H2O2 were about 5-6 and 4 mg/L. Higher DO may improve the activity of monooxygemase, which is the key enzyme of metabolic pathway from MTBE to tert-butyl alcohol and finally to CO2, and may result in the increase of the degrading activity of PM1 cell. The purge and trap GC-MS result of the broth in closed systems showed that tea-butyl alcohol, isopronol and acetone were the main intermediate products.     

基于改进RPS的共因失效模型及在安全仪表系统中的应用研究

基于安全仪表系统共因失效机理的定性分析,在单一冲击下的RPS模型基础上,以泊松分布作为冲击的先验分布,建立了多冲击下考虑共因失效的安全仪表系统可靠性模型;采用基于专家经验和估计的方法,对模型参数进行估计;并通过定量分析确定出影响系统共因失效的最大冲击因子,为降低系统共因失效对可靠性的影响提供辅助决策支持。将改进的多冲击RPS模型的可靠性分析结果与β模型和PDS模型进行比较,验证了该模型的工程准确性。     

基于矿井通风三维仿真系统软件的矿用空气幕选型方法

根据矿井风流调节的具体要求,合理选择矿用空气幕的型号是应用矿用空气幕技术的关键。在分析矿用空气幕选型依据及原理的基础上,应用矿井通风三维仿真系统软件模拟矿用空气幕运行的效果,来研究确定矿用空气幕的选型参数及影响因素。结果表明,应用矿井通风三维仿真系统软件所选择的矿用空气幕与理论推导的计算结果一致,此方法能够最大限度地反映矿山实际情况,具有直观、高效等特点。     

抗生素药物诺氟沙星对锦鲤的毒性效应

为明确抗生素药物诺氟沙星对锦鲤的毒性效应,采用鱼类毒性试验方法,研究了诺氟沙星(Norfloxacin,NFLX)对锦鲤的急性毒性和亚急性毒性效应.结果表明,当NFLX暴露质量浓度达到1 000 mg/L时,NFLX对锦鲤无急性毒性.NFLK暴露15 d,在1 mg/L、5 mg/L、25mg/L和125 mg/L 4个组中,5 mg/L组锦鲤肝脏SOD活性在6d时达到最大(p＜0.01);125 mg./L组MDA含量在15 d时达到最大值(p＜0.01);25 mg/L、125 mg/L组锦鲤肝脏中MDA含量与暴露时间呈正相关,相关系数分别为0.938 1、0.953 5.各组GST活性和GSH质量比均受到不同程度的诱导,1 mg/L组NFLX可使鱼肝GST与GSH产生适应性反应;5 mg/L组诱导GST与GSH效应最为显著,呈现“钟形”变化趋势,5 mg/L很可能是NFLX对GST活性和GSH质量比影响的一个阈值或转折点.鱼肝GPT与GOT活性变化表现出一定的相似性,均呈现先升高后降低的变化规律,其中5 mg/L组被诱导效应最为显著(p＜0.01).5 mg/L很可能是锦鲤适应NFLX暴露和机体中生物酶发挥作用的一个转折点.比较上述抗氧化和转氨酶指标的敏感性和稳定性发现,在NFLX作用下,锦鲤肝脏中GST、GSH两个指标对NFLX的反应比SOD、MDA、GPT、GOT灵敏,变化规律稳定,更适合评价水环境中NFLX暴露的毒性效应.     

Individual adaptive performance in organizations: A review

Modern work is frequently characterized by jobs where adaptive performance (AP) is crucial for employees to succeed in light of new or altered task demands. This recognition has fueled growing interest in AP as a dimension of workplace performance. To this point, however, research on AP has evolved from disparate perspectives and methods, resulting in fragmentation and a less than coherent knowledge base. This paper presents a comprehensive review of research studies regarding the nomological network of individual AP. In doing so, we synthesize the current knowledge base surrounding correlates of AP, elucidate current ambiguities, and suggest directions for future research efforts. We conclude that although the extant AP literature has amassed a critical body of studies linking various predictors to successful AP outcomes, much remains unknown, most critically regarding the implications of different methods of assessing AP, the effects of different types of changes in the task environment, the process of AP, and the steps organizations can take to foster AP among their employees. We hope that our synthesis and analysis paves the way for efforts to address these important questions. Copyright © 2014 John Wiley & Sons, Ltd.     

基于AGA-BP神经网络的采空区危险性评价

针对采空区危险性评价的影响因素众多且关系复杂的特点,提出了基于AGA-BP神经网络算法评价采空区危险性。将岩体结构、地质构造、岩石抗压强度等13个影响因子作为神经网络输入,采空区危险性等级作为输出,建立一个采空区危险性评价的BP神经网络模型;采用自适应遗传算法(AGA)对BP网络的初始权值和阈值进行全局寻优,将寻优结果回代入网络中进行训练并预测得出采空区危险性等级;利用其它智能算法与该预测结果做出比较,以验证AGA-BP算法的有效性及优越性。结果表明:该算法的优化效果明显,同时在训练时间与预测精度上较其它智能算法有突出的优势,是一种在采空区危险性评价方面值得推广的新方法。     

基于ICEEMDAN和MC-CNN的矿山声发射信号识别分类方法

为精准识别地下矿山声发射事件,采用基于改进的完全集合经验模态分解模型(ICEEMDAN)和多通道卷积神经网络(MC-CNN)模型对声发射信号进行处理后得到分量图,根据各通道输入分量峭度值赋予不同权重,并利用卷积神经网络对输入数据进行训练,最终采用五折交叉实验方法验证该分类识别方法的可行性及有效性.结果表明:基于ICEE...     

安全系统工程Web课件的设计与开发

随着网络教育在我国的蓬勃发展，《安全系统工程》课程面临着教学手段和方式的重要变革，开发适用于网络教育的高质量的课件成了一个非常重要而迫切的课题。对该课程Web课件的设计与开发进行了探讨，综合运用了当今网络课件开发的新技术，规划了课件的总体结构、各模块功能和开发方案，为安全工程学科Web课件的开发提供参考。     

Photophysical and photochemical properties of the pharmaceutical compound salbutamol in aqueous solutions

Salbutamol is a potent β₂-adrenergic receptor agonist widely used in the treatment of bronchial asthma and chronic obstructive pulmonary disease. An increasing number of studies have detected salbutamol in natural water systems worldwide. Studies have shown that sunlight degrades salbutamol resulting in the formation of products; some showing higher toxicity to bacteria Vibrio fischeri than the parent compound. In this contribution, steady-state absorption and emission techniques, high-performance liquid chromatography, and transient absorption spectroscopy are used to investigate the photochemistry of salbutamol in aqueous buffer solutions at controlled pH values. Ground- and excited-state calculations that include solvent effects are performed to guide the interpretation of the experimental results. Salbutamol is sensitive to UVB light absorption in the pH range from 3 to 12, forming products that absorb light at longer wavelengths than the parent compound. Quantum yields of degradation reveal that the deprotonated species is 10-fold more photo-active than the protonated species. In line with this result, the fluorescence quantum yield of the protonated species is more than an order of magnitude higher than that of the deprotonated species. Transient absorption spectroscopy shows that population of the triplet state occurs with a rate constant of 7.1 × 10⁸ s⁻¹ in the protonated species, while a rate constant of 1.7 × 10¹⁰ s⁻¹ is measured for the deprotonated species. While degradation of the deprotonated species is not affected by the presence of molecular oxygen, a twofold increase in the photodegradation yield of the protonated species in air-saturated conditions is observed.     

Active Adaptive Management for Conservation

Abstract:  Active adaptive management balances the requirements of management with the need to learn about the system being managed, which leads to better decisions. It is difficult to judge the benefit of management actions that accelerate information gain, relative to the benefit of making the best management decision given what is known at the time. We present a first step in developing methods to optimize management decisions that incorporate both uncertainty and learning via adaptive management. We assumed a manager can allocate effort to discrete units (e.g., areas for revegetation or animals for reintroduction), the outcome can be measured as success or failure (e.g., the revegetation in an area is successful or the animal survives and breeds), and the manager has two possible management options from which to choose. We further assumed that there is an annual budget that may be allocated to one or both of the two options and that the manager must decide on the allocation. We used Bayesian updating of the probability of success of the two options and stochastic dynamic programming to determine the optimal strategy over a specified number of years. The costs, level of certainty about the success of the two options, and the timeframe of management all influenced the optimal allocation of the annual budget. In addition, the choice of management objective had a large influence on the optimal decision. In a case study of Merri Creek, Melbourne, Australia, we applied the approach to determining revegetation strategies. Our approach can be used to determine how best to manage ecological systems in the face of uncertainty.