基于小角度高位技术的钻孔初采期瓦斯治理

回采工作面初采期瓦斯涌出不均衡,易出现瓦斯超限现象。针对新源煤矿近距离煤层群开采、瓦斯涌出量大等特点,提出了小角度高位钻孔抽采治理初采期瓦斯的方法;2219工作面应用实践表明,初采期内,小角度高位钻孔抽采瓦斯纯量最高5.25m3/min,瓦斯抽采率64.02%,回风流瓦斯浓度最高为0.32%,上隅角最高瓦斯浓度0.96%,未出现瓦斯超限现象,取得了很好的初采期瓦斯治理效果。     

Effect laws and mechanisms of different temperatures on isothermal tensile fracture morphologies of high-strength boron steel

The fracture behaviour and morphologies of high-strength boron steel were investigated at different temperatures at a constant strain rate of 0.1 s-1 based on isothermal tensile tests. Fracture mechanisms were also analyzed based on the relationship between microstructure transformation and continuous cooling transformation(CCT) curves. It is found that 1) fractures of the investigated steel at high temperatures are dimple fractures; 2) the deformation of high-strength boron steel at high temperatures accelerates diffusion transformations; thus, to obtain full martensite, a higher cooling rate is needed; and 3) the investigated steel has the best plasticity when the deformation temperature is 750 °C.     

大数据时代法律流程外包视阈下的法律法规翻译

大数据时代的到来,改变了人们的生活方式、思想方式和工作方式,也为国际服务外包产业带来了新的发展机遇。本文首先介绍了WTO透明度原则和我国加入WTO后在法律法规翻译方面应承担的义务及履行情况;其次,从法律流程外包(Legal Process Outsourcing,LPO)的概念、内容和特征出发,分析了大数据技术条件下我国政府法律法规译审外包的必要性,并根据大数据应用的可实时性、可解释性、数据准确性稳定性等基本原则,探讨了大数据技术条件下我国政府法律法规译审外包的运行模式及主要举措;最后,讨论了法律流程外包在我国的发展前景。     

基于Web的3D模型浏览与交互系统的研究与实现

设计了基于Web的3D模型浏览与交互系统，主要采用基于WebGL的第三方库Three.js来实现。该系统的建立主要包括场景的构建、场景的交互控制和模型的云存储。模型是场景构建的前提，用户可从外部导入所需模型或利用系统自带的简单模型进行模型的构建。场景交互技术主要包括模型的平移、旋转、缩放、拾取、剖切、3D动画模型的播放以及信息的显示等。模型的云存储是指用户可以通过登录账户将3D模型存储到服务器，日后需要时直接从服务器中加载即可。     

浅谈冶金实验室绿色化建设

介绍了实验室绿色化建设的措施,叙述了实验室废弃物的处理方法。从化学试剂的科学管理和应用,检测方法的选择,减少常规湿法分析,实验室废弃物的管理以及实验室废弃物的处理方法等方面提出了具体方案。     

象山煤矿11~#煤层带压开采危险性预测

采用突水系数法对象山煤矿北一采区11#煤层突水危险性进行了预测,结果显示,北一采区西北角、东南角属于相对安全区,突水系数0.06 MPa/m,北一采区北部B6孔附近为相对危险区,突水系数在0.1~0.119 MPa/m之间,其它区域处在临界区。该研究成果可为矿井防治水提供参考依据。     

基于Q-learning的不确定环境BDI Agent最优策略规划研究

BDI模型能够很好地解决在特定环境下的Agent的推理和决策问题,但在动态和不确定环境下缺少决策和学习的能力。强化学习解决了Agent在未知环境下的决策问题,却缺少BDI模型中的规则描述和逻辑推理。针对BDI在未知和动态环境下的策略规划问题,提出基于强化学习Q-learning算法来实现BDI Agent学习和规划的方法,并针对BDI的实现模型ASL的决策机制做出了改进,最后在ASL的仿真平台Jason上建立了迷宫的仿真,仿真实验表明,在加入Q-learning学习机制后的新的ASL系统中,Agent在不确定环境下依然可以完成任务。     

Inhibition of microbial growth in ready‐to‐eat food stored at ambient temperature by modified atmosphere packaging

This study was undertaken to develop a modified atmosphere package to control microbial growth in ready‐to‐eat (RTE) products stored at ambient temperature. Ethanol and/or limonene associated with modified atmosphere (CO₂ : O₂ : N₂ = 30% : 5% : 65%) was used to inhibit the growth of total air‐borne microorganisms and Escherichia coli in RTE products stored at 25°C. The results indicated that 0.05% ethanol vapour in the headspace was effective to inhibit the growth of air‐borne microorganisms and E. coli at 25°C for 72 h in a model study, and the effectiveness was related to ethanol content. Both 73 ppm limonene and 0.05% ethanol vapour enhanced the bacteriostatic effect of modified atmosphere in RTE sushi roll products, and no off‐flavour was detected using this formulated gas; however, no significant inhibitory effect was observed for RTE cold noodle products. This study concludes that combinations of carbon dioxide, ethanol or limonene vapours are effective to inhibit microbial growth in RTE food at ambient temperature, and the outcome may be due to the hurdle effect. Copyright © 2003 John Wiley & Sons, Ltd.