Hydrogen Sulfide Metabolite,Sodium Thiosulfate: Clinical Applications and Underlying Molecular Mechanisms

Thiosulfate in the form of sodium thiosulfate (STS) is a major oxidation product of hydrogen sulfide (H₂S), an endogenous signaling molecule and the third member of the gasotransmitter family. STS is currently used in the clinical treatment of acute cyanide poisoning, cisplatin toxicities in cancer therapy, and calciphylaxis in dialysis patients. Burgeoning evidence show that STS has antioxidant and anti-inflammatory properties, making it a potential therapeutic candidate molecule that can target multiple molecular pathways in various diseases and drug-induced toxicities. This review discusses the biochemical and molecular pathways in the generation of STS from H₂S, its clinical usefulness, and potential clinical applications, as well as the molecular mechanisms underlying these clinical applications and a future perspective in kidney transplantation.     

新闻视频结构化浏览与标注系统

阐述一种新颖的新闻视频结构化浏览和标注系统。应用基于时空切片分析的新闻主播检测方法和基于颜色直方图的镜头分割方法实现新闻视频的结构化。通过自动语音识别技术和特定语义概念模型的建立实现了对主播场景的文本信息标注和对新闻故事镜头的语义概念标注。该系统有利于用户根据个人爱好进行新闻视频的浏览和编辑,有效实现新闻视频的索引和浏览。     

STS管幕结构抗弯性能试验研究及参数优化

沈阳地铁某车站采用STS（Steel Tube Slab）管幕结构作为初期支护,在施工阶段需承受上覆土压力和路面荷载,其横向承载力对整个工程的安全尤为重要。该文基于6榀STS管幕简支梁的对称集中荷载抗弯试验,研究了STS管幕构件的破坏过程、裂缝开展模式及破坏机理,并对比分析了混凝土强度、钢管间距以及管间横向连接方式对承载力的影响规律。基于ABAQUS建立数值计算模型,进一步研究了钢管壁厚、翼缘板厚度等参数对STS管幕构件承载力的影响规律,并根据计算结果提供了翼缘板厚度与钢管壁厚之比的合理取值范围。研究成果将为STS管幕构件的设计提供参考依据。     

土木工程专业成人高等教育培养模式研究

根据时代进步的要求和社会发展的需要,结合成人高等教育的规律和土木工程专业的特点,寓STS教育思想于成人高等教育之过程,通过教学计划的制定、教学内容的更新、教学方法的改进,构建了KAQ课程体系。同时强化各项管理工作,制定并实施一系列行之有效的管理制度,对整个教育过程的各个环节实行全程监控,效果良好。     

球面上微透镜阵列超精密慢伺服加工精度影响因素的研究

超精密慢伺服车削可加工出高精度的连续和非连续自由曲面,但是在微透镜阵列的加工过程中,不同位置的透镜加工精度也不同,个别子透镜的质量降低可能引起整个功能部件的失效。为了研究曲面上微透镜阵列超精密慢伺服加工精度的影响因素,本文采用实验的方法分析基面几何形状和子透镜位置对球面上微透镜阵列慢伺服车削加工精度的影响,通过在三种不同球径的基面上加工微透镜阵列,并使用Bruker GT-X白光干涉仪测量所加工的基面和微透镜阵列,分析了不同基面上不同位置的子镜表面粗糙度和形状精度的变化趋势。实验结果表明,同一基面上不同位置的子透镜,慢伺服车削加工表面微观形貌不同,表面粗糙度和形状精度也不同;基面的几何形状也会影响子镜的加工精度,当基面球径从50 mm增大至150 mm时,外圈子镜的表面粗糙度从75.78 nm(Ra)变小为69.08 nm(Ra)。在超精密慢伺服加工微透镜阵列过程中,必须考虑基面几何形状和子透镜位置两个因素对加工精度的影响,这将有助于提高微透镜阵列加工精度的一致性并保证微透镜阵列功能的有效性。     

慢刀伺服车削刀具半径定向补偿的分段逼近求解

复杂曲面的慢刀伺服车削加工过程中,采用刀具法向补偿算法会在各个直线轴产生补偿量,加工法向矢量突变的曲面时,这种算法并非最优,将补偿量只应用于负载较低的直线轴却是更优的选择。提出一种基于线段逼近的刀具半径定向补偿数值求解算法来求解定向刀位点,通过半径细分的策略使法向误差收敛。算法实例验证及与相关算法的对比结果显示,该算法适用于点云构成的曲面或分段曲面的刀具半径补偿。     

浅谈STS教育在物理化学课程教学改革中的渗透

阐述了STS教育的理念,指出将该理念渗透到理工科学生的专业基础课程教学过程中的必要性。并以作者所从事的物理化学课程教学改革实践为例,提出在教学过程中鼓励学生思考STS,即科学-技术-社会这三者之间的关系,使学生们建立一种新型的价值观,抛弃以往传统的只注重科学技术的经济价值而忽视其社会文化价值的价值观和思维方式,树立起科学技术与社会可持续发展的意识。     

模块化UPS可靠性计算与分析

文章通过对模块化UPS系统的基本可靠性/任务可靠性/可用性指标计算,分析出有冗余的模块化UPS系统的可用度会大大提高。对于模块化UPS系统,系统的瓶颈将是静态开关以及模块的独立性(故障模块的可靠退出和正常模块的顺利接入UPS系统)。     

Making clustering in delay-vector space meaningful

Sequential time series clustering is a technique used to extract important features from time series data. The method can be shown to be the process of clustering in the delay-vector space formalism used in the Dynamical Systems literature. Recently, the startling claim was made that sequential time series clustering is meaningless. This has important consequences for a significant amount of work in the literature, since such a claim invalidates these work’s contribution. In this paper, we show that sequential time series clustering is not meaningless, and that the problem highlighted in these works stem from their use of the Euclidean distance metric as the distance measure in the delay-vector space. As a solution, we consider quite a general class of time series, and propose a regime based on two types of similarity that can exist between delay vectors, giving rise naturally to an alternative distance measure to Euclidean distance in the delay-vector space. We show that, using this alternative distance measure, sequential time series clustering can indeed be meaningful. We repeat a key experiment in the work on which the “meaningless” claim was based, and show that our method leads to a successful clustering outcome. Jason R. Chen received the B.E. degree from Sydney University, Australia, in 1991 and then worked mainly in the banking and finance industry until 1997. From 1997 to 2001, he completed the Ph.D. at Australian National University, Canberra, Australia, in robotics. From 2001 to the present, he has been a Research Engineer in the Research School of Information Science and Engineering, at Australian National University. His research interests broadly include robotics, data mining, and AI.