摘要(Abstract)：Understanding the characteristics of drawing body shape is essential for optimization of drawing parameters in longwall top coal caving mining. In this study, both physical experiments and theoretical analysis are employed to investigate these characteristics and derive a theoretical equation for the drawing body shape along the working face in an inclined seam. By analyzing the initial positions of drawn marked particles, the characteristics of the drawing body shape for different seam dip angles are obtained. It is shown that the drawing body of the top coal exhibits a shape-difference and volume-symmetry characteristic, on taking a vertical line through the center of support opening as the axis of symmetry, the shapes of the drawing body on the two sides of this axis are clearly different, but their volumes are equal. By establishing theoretical models of the drawing body in the initial drawing stage and the normal drawing stage, a theoretical equation for the drawing body in an inclined seam is proposed, which can accurately describe the characteristics of the drawing body shape. The shape characteristics and volume symmetry of the drawing body are further analyzed by comparing the results of theoretical calculations and numerical simulations. It is shown that one side of the drawing body is divided into two parts by an inflection point, with the lower part being a variation development area. This variation development area increases gradually with increasing seam dip angle, resulting in an asymmetry of the drawing body shape. However, the volume symmetry coefficient fluctuates around 1 for all values of the seam dip angle variation, and the volumes of the drawing body on the two sides are more or less equal as the variation development volume is more or less equal to the cut volume. Both theoretical calculations and numerical simulations confirm that the drawing body of the top coal exhibits the shape-difference and volume-symmetry characteristic.

摘要(Abstract)：不同尺度研究的内容、研究的方法不同，康红普院士以空间尺度为主线，介绍了煤炭开采与岩层控制在不同尺度范围内的主要研究内容、研究方法和典型实例，分析了不同尺度之间的关系。

摘要(Abstract)：复杂性和不确定性仍将是未来几年制造业面临的主要挑战。人工智能和机器学习可以在很大程度上提供缓解甚至解决这些挑战的机会。例如，可以使用深度学习来更好地理解制造环境，并在制造过程发生之前更准确地预测未来的问题或失败，从而实现无缺陷制造。

摘要(Abstract)：智能故障诊断有望成为大数据下机械装备数据处理与故障诊断的一把利器。 这是因为智能诊断摆脱了传统故障诊断方法过分依赖诊断专家和专业技术人员的困境，打破了机械装备诊断数据量大与诊断专家相对稀少之间的僵局 “数据为王”的学术思想有望成为主流、诊断整机或系统级对象成为可能、全面解析故障演化过程成为趋势等。

摘要(Abstract)：研究指出未来的研究应集中在：复杂采动煤岩体力学性状与量化表征，复杂采动煤岩体力学行为及其对工作面灾变的控制作用，大倾角长壁采场“支架-围岩”系统多维交互动力学与多目标非稳态控制方法，非规则回采空间随机分离体形成-运动-损害过程及防护机制，大倾角、急倾斜煤层颠覆性开采方法、技术与装备等方面。

摘要(Abstract)：成果发表于美国《国家科学院院报》，对我国及世界发展中国家合理制定减排措施以治理雾霾、改善空气质量及应对气候变化具有切实有效的理论指引意义。

摘要(Abstract)：长水平段水平井和分段水力压裂技术是提高我国页岩气单井产量的关键技术。 随着页岩气勘探开发面向深层，水平井钻完井面临安全钻进风险高、高效压裂难度大和单井产量低且递减快等难题。

摘要(Abstract)：研究人员利用Citespace软件对文献中的关键词和高频词的名词短语进行聚类分析，得到了出现频次和中心度分别为前15位的关键词，并通过关键词共现识别出“采煤沉陷区、采煤塌陷和复垦”等研究热点，形成了采煤塌陷地、采煤沉陷和综合治理等14个聚类，该领域研究内容广泛，主题丰富。

摘要(Abstract)：利用超临界水的“独特化学性质”将有机材料分解为具有多种潜在用途的气体，并轻度溶解无机材料。这里的超临界水，是将水加热到超过374℃并加压到超过219个大气压，导致水达到无法明显区别出其液相和气相的状态。

摘要(Abstract)：在对待机器人的态度上，人类一方面因强调机器人的能力而对其过度信任；另一方面却忽视其体验而对其进行攻击。拟人化可能是影响人类对机器人接受度的核心变量，而机器人接受度的最终问题则必然是涉及机器人的道德问题。