工业噪声对脑认知影响的功率谱估计分析

为明确工业噪声对大脑认知的负面影响,采集火电厂球磨机的工业噪声,征集10名在校大学生在90 dB(A)的稳态工业噪声状态下及安静状态下的32导联脑电图(EEG)。采用傅里叶变换方法进行频域分析,提取δ频段、θ频段、α1频段、α2频段和β频段功率谱,并进行统计分析。结果表明:噪声环境与静音环境相比较,被试在δ频段、θ频段功率谱值明显增加,在α1频段内,噪声状态的功率谱值高于静音状态,在α2频段内正好相反。生产性噪声刺激可导致被试注意力分散,可通过各波段功率谱值或比率参数等评估噪声对认知的影响程度大小。     

海南岛潜在震源区的研究

本文应用人工神经网络原理,以地震构造和地震活动性为主要特征,对我国海南岛进行了潜在震源区的定量划分。这种划分既反映了当前人们对地震发生规律的认识水平,又为城建部门按照工程重要性和使用年限选取相应的抗震设计参数提供了依据。     

Methodology for the quantification of toxic dispersions originated in warehouse fires and its application to the QRA in Catalonia (Spain)

A tool for the quantification of the consequences of toxic dispersions coming from fires in warehouses has been developed. This tool is expected to be applied in the framework of the risk assessment in Catalonia, specifically in the Quantitative Risk Assessment. The present study is based on the criteria gathered in the technical guide BEVI 3.2 and the methodology CPR-15 used in the Netherlands. Hence, the approach performed accepts the main body of the foresaid methodology but implements a different and free source dispersion model, a modified Gaussian model that takes into account the warehouse effect. In the work conducted, a historical analysis of accidents involving fire in warehouses has been performed in order to justify the importance of assessing their potential toxic dispersions. Furthermore, the tool has been tested in different case studies providing results that have been compared with other methodologies, observing similar results that can be useful for the stakeholders and decision makers in the framework of the risk assessment.     

基于多层次灰色评价理论的海洋输油管道安全评估方法

针对海上输油管道在多层次、多变量、多种非定量因素的影响下缺乏有效定量评估手段的情况,建立输油管道体系的多层次安全评估指标,结合层次分析法,确定各层指标对应的权重,提出采用多层次灰色理论,对输油管道体系进行安全评估,将风险影响程度进行定量化处理,给出了在役输油管道的可靠性量化结果。多层次灰色评估方法针对少数据、小样本、信息不完全和经验缺乏的不确定性问题有着计算简便、直接、科学和实用的特点,可为海上输油管道的在役安全评估提供一种有效手段。     

染料结构-光催化降解活性关系初步研究

以近20种水溶性染料为研究对象,选择正辛醇-水分配系数(Kow)、分子最高占据轨道能(EHOMO)及分子最低空轨道能(ELUMO)等理化参数,建立了染料的定量结构-光催化降解反应活性关系模型,得到定量关系式为:lgk＝0.016 28×lgKow 0.132 46×(ELUMO-EHOMO)-2.148 56,很好地表示反应活性与结构之间的定量关系,为水溶性染料的光催化降解活性预测提供了有效的工具.     

Exploring differences between self-report and electrophysiological indices of drowsy driving: A usability examination of a personal brain-computer interface device

IntroductionImpaired driving has resulted in numerous accidents, fatalities, and costly damage. One particularly concerning type of impairment is driver drowsiness. Despite advancements, modern vehicle safety systems remain ineffective at keeping drowsy drivers alert and aware of their state, even temporarily. Until recently the use of user-centric brain-computer interface (BCI) devices to capture electrophysiological data relating to driver drowsiness has been limited. Method: In this study, 25 participants drove on a simulated roadway under drowsy conditions. Results: Neither subjective nor electrophysiological measures differed between individuals who showed overt signs of drowsiness (prolonged eye closure) during the drive. However, the directionality and effect size estimates provided by the BCI device suggested the practicality and feasibility of its future implementation in vehicle safety systems. Practical applications: This research highlights opportunities for future BCI device research for use to assess the state of drowsy drivers in a real-world context.     

基于EEG的有限空间检修工脑疲劳特性研究

为了探究有限空间内检修工在高温高湿状态下的脑疲劳特征,采用对照与模拟有限空间作业环境相结合的方法,对作业人员脑电波变化进行监测,利用傅里叶变换对原波信号进行时频转换,提取相对频率、重心频率等特征参数。研究结果表明:在高温高湿的有限空间环境中,人体脑波功率变化幅度明显变大;在进入疲劳状态时有限空间环境的脑波功率低于对照组;高频的β波在高温高湿环境中减少的比例较大,平均下降7.1%;脑波重心频率由8 Hz降为6 Hz,平均下降11.3%,由α波变为θ波,大脑活动进入疲劳状态。说明有限空间的高温高湿环境对人体脑疲劳具有明显影响,可用于脑电智能穿戴监测设备监测工人脑疲劳状况。     

Insights into the structure of urea-like compounds as inhibitors of the juvenile hormone epoxide hydrolase (JHEH) of the tobacco hornworm Manduca sexta: analysis of the binding modes and structure-activity relationships of the inhibitors by docking and CoMFA calculations

Substituted urea compounds are well-known as potent inhibitors of juvenile hormone epoxide hydrolase (JHEH) of the tobacco hornworm Manduca sexta. Docking simulations of 47 derivatives inside JHEH were performed to gain insight into the structural characteristics of these complexes. The obtained orientations show a strong similitude with the observed in the known X-ray crystal structures of human soluble epoxide hydrolase (sEH) complexed with dialkylurea inhibitors. In addition, the predicted inhibitor concentration (IC₅₀) of the above-mentioned compounds as JHEH inhibitors were obtained by a quantitative structure-activity relationship (QSAR) method by using comparative molecular field analysis (CoMFA) applied to aligned dataset. The best models included steric and electrostatic fields and had adequate predictive abilities. In addition, these models were used to predict the activity of an external test set of compounds that was not used for building the model. Furthermore, plots of the CoMFA fields allowed conclusions to be drawn for the choice of suitable inhibitors.