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针对下肢外骨骼机器人的基于概率运动基元的黑盒优化运动学习 Research Article
王嘉琪,高永卓,吴冬梅,董为
《信息与电子工程前沿(英文)》 2023年 第24卷 第1期 页码 104-116 doi: 10.1631/FITEE.2200065
一种机械臂在线标定装置开发 Research Article
万梓威1,2,周春琳1,3,张昊天4,吴俊1
《信息与电子工程前沿(英文)》 2023年 第24卷 第2期 页码 217-230 doi: 10.1631/FITEE.2200172
六自由度并联平台特性分析及其电液位置伺服系统的CMAC神经网络控制
翟传润,战兴群,张炎华,冉祥耒,赵克定
《中国工程科学》 2001年 第3卷 第10期 页码 36-40
以六自由度运动平台为研究对象,分析了平台的运动学和动力学问题,采用了CMAC神经网络作为控制器,实现运动轨迹的跟踪。仿真表明所作的运动学、动力学分析是正确的,控制器具有较强的抗负载干扰能力和良好的鲁棒性。
降低自行车运动中股四头肌消耗的无动力膝关节外骨骼研究 Article
Ronnapee Chaichaowarat,Jun Kinugawa,Kazuhiro Kosuge
《工程(英文)》 2018年 第4卷 第4期 页码 471-478 doi: 10.1016/j.eng.2018.07.011
张霞,郑南宁,张光烈,吴勇,王少瑞,徐维朴
《中国工程科学》 2002年 第4卷 第1期 页码 47-53
在各种视频处理算法中,运动补偿型算法大大提高了各种视频处理效果。运动估计器的硬件实现是各种运动补偿视频处理算法在实际系统中运用的关键。由于块匹配运动估计算法较低的运算复杂度和硬件实现难度以及块匹配检测标准函数很高的调用频率,已经广泛应用到各种实际系统中。文中提出了加权最小最大误差的匹配检测标准,能够降低运动估计器的运算复杂度,减少估计器的硬件面积,提高硬件速度,而且能够降低递归搜索块匹配运动估计算法固有误差传递带来的负面影响。
利用编织熵探测人群运动的相互作用/复杂程度 Research Papers
Murat AKPULAT, Murat EKİNCİ
《信息与电子工程前沿(英文)》 2019年 第20卷 第6期 页码 849-861 doi: 10.1631/FITEE.1800313
王桂丽,李兴国
《中国工程科学》 2008年 第10卷 第7期 页码 184-187
运动规划的高效配置空间构建与优化 Article
潘佳, Dinesh Manocha
《工程(英文)》 2015年 第1卷 第1期 页码 46-57 doi: 10.15302/J-ENG-2015009
关键词: 配置空间 运动规划 图形处理器(GPU)并行算法
许绍燮
《中国工程科学》 2006年 第8卷 第6期 页码 14-22
报告了观察到大尺度地层内分层运动的新发现,以及大尺度层块活动的直接证据——大尺度地层垂向同步运动,其层块的尺度可大到数千公里洲际尺度。
关键词: 大尺度地层内的分层运动 高强颤振事件 地震预测
代谢组扩展生物学的“旁中心法则”——对理解基因组学-糖组学-代谢组学-表观基因组学互作的意义
Albert Stuart Reece
《工程(英文)》 2023年 第26卷 第7期 页码 16-16 doi: 10.1016/j.eng.2022.07.011
The central dogma of biology holds that the transcription of DNA into RNA and the translation of RNA into proteins forms the primary axis of biological activity [1]. Following major advances in the description of the complex glycan and lipid chains that are added onto these basic building blocks, the glycome and lipidome have recently been added to this doctrine as an exciting new extension named the ‘‘paracentral dogma” [2]. However, it has been pointed out that biological systems can include many layers, which are described in modern omics technology platforms relating to both cell-intrinsic and cell-extrinsic layers of control, including metabolomic, microbiomic, immunological, epigenomic, epitranscriptomic, proteomic and phosphoproteomic layers [3].
It is well known that stem and progenitor cells have a metabolism that is based on glycolysis and glutaminolysis [4]. Although this provides less energy to the cell than oxidative phosphorylation, it suffices for these cells’ needs, since such cells are generally relatively quiescent and normally suppress energy-intensive processes such as genome duplication and transcription. Moreover, it has been shown that the high intracellular lactate levels involved in such states not only inhibits the key gatekeeper enzymes of oxidative phosphorylation (i.e., pyruvate dehydrogenase and carnitine palmitoyl acyltransferase) but also actually covalently modifies them by lactylation in order to maintain this inhibited metabolic–epigenomic state [5]. In addition, intermediate metabolism and nutrients are the source of the very extensive library of post-translational modifications to DNA, RNA, and proteins, as well as supplying cellular energy for many of the required reactions. Hence, the metabolic state locks in and reinforces the epigenomic state, and the metabolome and epigenome thereby play mutually reinforcing roles. This self-reinforcing coordination explains why it is so difficult to generate induced pluripotent cells and is a contributory explanation for why the described protocols typically have such low cellular yields.
These concepts become even more important when it is considered that cancer cells are de-differentiated, similarly rely on glycolysis and glutaminolysis, and are similarly metabolically–epigenomically–genomically synchronized. The disruption of this metabolic system is a key focus of mechanistic cancer research.
These important considerations imply that the descriptive and predictive power of the newly described ‘‘paracentral dogma” of biology may be usefully and meaningfully extended by including the metabolome, along with the genome, transcriptome, proteome, glycome, and lipidome, to describe cell-intrinsic regulation—not only in terms of another omics analytical layer but also as a fully predictive and interactive partner in the symphonic-like multilayer coordination that evidently comprises cellular regulatory layering.
胡隆华,霍然,李元洲,王浩波
《中国工程科学》 2003年 第5卷 第8期 页码 59-63
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