撰写科技论文的要素

本文讨论了撰写科技论文时,包括论文的题目、前言、推导、实例、结论、提要和关键词等各种要素的作用和正确的撰写方法,列举一些写得比较好的范例和一些不很恰当的例子。同时也分析了在岩土工程科技论文写作中出现的一些如泛泛而谈、钻牛角尖、大而无当、背离工程实际、结论与前提不符等值得注意的倾向,指出了产生的原因并提出了解决的方法。     

Externalizing lupus: A therapist/patient's challenge.

Coping with a serious and chronic illness poses unique challenges for individuals in helping professions. What techniques and resources can be used to help the helpers? A narrative framework using the process of externalizing the problem is presented as a potentially useful approach for psychotherapists experiencing a serious illness. The author describes her own experience with lupus and offers recommendations for therapists struggling to balance their professional responsibilities with their own personal needs. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A visual news processing environment

CPP-TRS (Tonfoni 1989–94) is both a methodology and a language. Through the methodology (CPP — Communicative Positioning Program) those invisible aspects of communication are identified and represented by the meta-language (TRS — Text Representation Systems), which complements natural language. CPP-TRS is a new paradigm which applies to any communicative context.Icons in CPP-TRS are not intended to represent words or sentences in order to substitute them; they are rather intended to represent visually what natural language does not convey naturally. The improvement of communication is a challenge of the present and the future: CPP-TRS is designed explicitly for it.The CPP-TRS system thus is able to support the user with a set of visual tools, that are specifically suited to structuring text and communicating effectively.The same tools can support communication very effectively in situations where ambiguity can highly compromise the final result.The system may be used in a way that is either opaque or transparent to the reader of the text.Author of CPP-TRS¢ and CPP-TRS¢ Applications Designer.     

Concurrent reading while writing revisited

A modification is proposed to Peterson's construction of 1-writern-reader multivalued atomic shared variableusingn+2 multivalued safe variables and some boolean atomic variables. The resulting construction is elegant and is simpler than the original one. K. Vidyasankar received B.E. (Elec. Engg.) from Thiagarajar College of Engineering, Madurai, M. Tech. from I.I.T. Kanpur, India, and Ph.D. in Computer Science from University of Waterloo, Canada. He is now an Associate Professor in Computer Science at Memorial University of Newfoundland, Canada. His research interests include concurrency control and recovery in database systems, concurrency in interprocess communication, design and analysis of algorithms, and graph theory.A prelininary version of this paper, under the title Improving Peterson's Construction of 1-Writern-Reader Multivalued Atomic Register, appears in the Proc. 26th Annual Allerton Conference on Communication, Control, and Computing, University of Illinois at Urbana Champaign, September 1988, pp 693–700     

电纺直写制备聚己内酯支架形貌及精度

作为一种新型的微纳制造技术，熔体直写电纺被广泛用于组织工程支架的可控制备,有序的纤维沉积是该领域应用的前提条件。对于支架成型精度的探究，本文使用生物可降解材料聚己内酯（PCL），采用自行设计的熔体电纺三维可控成型设备进行实验，考察了纤维间距对二维并行纤维沉积形貌及成型精度的影响，以及纺丝电压和网格大小对三维网格结构形貌及精度影响。结果表明，随着并行纤维设定距离的增大，纤维的沉积误差减小，并最终趋于平稳。对于三维网格结构，随电压的增加，最大沉积层数量先增大后减小，当纺丝电压为6kV时达到最大沉积层数15层。成型精度误差先减小后增大，当纺丝电压为7kV时，精度最高误差小于5%。随设定网格边长的增大，沉积层数不断增大。成型精度逐渐提高，当网格边长大于等于1.5mm时，沉积误差趋于稳定，并维持在5%左右。     

读写频繁云存储网络应用的数据备份方法

文章根据读写频繁的云存储网络应用的数据存储特点,提出了一种新的数据备份方法,旨在最优化地利用已有的系统资源,为用户提供更好的用户体验。文章中的数据备份方法包括基于数据节点废弃度计算与用户访问预测的副本创建机制和基于存储平衡预测算法与副本健康度计算的负载调整机制。文章的数据备份方法与现有技术相比针对日益流行的社交类云存储网络应用进行了优化,将多种数据参数加权计算作为衡量数据节点优劣和副本文件价值的标准,在保证用户使用体验的前提下使各数据节点达到负载的均衡,并且避免了云服务器端将有限的计算资源浪费在频繁的副本调整过程中。     

面向实践性教学的当代文学史写作

在面向实践性教学的教育背景下,当代文学史的写作应当从学生主体出发,打破研究型、教学型的简单对立,将学术研究的思考过程引入教学,让学生在体验文本的同时培育问题意识,从而获得真正属于中文专业学生的实践能力。正是从这一认识出发,当代文学史写作中经典选择的难题才能转化成丰富的实践性资源。     

英语专业写作教学中存在问题及解决方案

详细分析了目前英语专业写作教学实践中存在的若干问题,并探讨了解决策略,以期提高英语专业写作的教学质量。     

高职应用文写作教学的现状分析及方法探究

采用问卷调查法,对本校应用文写作教学现状进行了调研,找出了应用文写作教学过程中存在的问题,并对存在问题进行了分析,在此基础上提出了高职应用文写作教学方法改革的建议。     

在书写任务中的基于轨迹匹配的模仿学习

针对书写任务中运动轨迹较复杂的问题,引入基于轨迹匹配的模仿学习算法对书写轨迹进行表征和泛化,进而实现机器人书写技能的获取。机器人从示教者处获取示教数据,利用高斯混合模型( Gaussian mixture model, GMM)进行编码,学习示教行为的本质特征,通过高斯混合回归进行泛化处理,实现行为再现。实验结果表明：该方法具有良好的行为编码能力和抗干扰性,能够实现轨迹可连续的汉字书写,通过对GMM的扩展能够进行多任务学习,进而实现轨迹不可连续汉字的书写,泛化效果较好。