Graphene Based Electrochemical Sensor for the Detection of Volatile Organic Compounds

Many household consumables contain volatile organic compounds(VOCs)as the active ingredient.Long term exposure to VOCs could cause various health problems,especially to the respiratory system.Graphene has attracted a lot of attention recently for its potential to be used as sensing material for VOCs.In this project we have constructed graphene/PVA composite based gas sensors for VOC detection.It was perceived that the polymer could introduce better selectivity to the sensor.Results suggest that the proposed sensor is highly sensitive to low molecular weight VOCs and that the manner in which the sensor respond to the vapour depends on the polarity or hydrophobicity of the vapour.     

Combining fiber dissection,plastination, and tractography for neuroanatomical education: Revealing the cerebellar nuclei and their white matter connections

In recent years, there has been a growing interest in white matter anatomy of the human brain. With advances in brain imaging techniques, the significance of white matter integrity for brain function has been demonstrated in various neurological and psychiatric disorders. As the demand for interpretation of clinical and imaging data on white matter increases, the needs for white matter anatomy education are changing. Because cross‐sectional images and formalin‐fixed brain specimens are often insufficient in visualizing the complexity of three‐dimensional (3D) white matter anatomy, obtaining a comprehensible conception of fiber tract morphology can be difficult. Fiber dissection is a technique that allows isolation of whole fiber pathways, revealing 3D structural and functional relationships of white matter in the human brain. In this study, we describe the use of fiber dissection in combination with plastination to obtain durable and easy to use 3D white matter specimens that do not require special care or conditions. The specimens can be used as a tool in teaching white matter anatomy and structural connectivity. We included four human brains and show a series of white matter specimens of both cerebrum and cerebellum focusing on the cerebellar nuclei and associated white matter tracts, as these are especially difficult to visualize in two‐dimensional specimens and demonstrate preservation of detailed human anatomy. Finally, we describe how the integration of white matter specimens with radiological information of new brain imaging techniques such as diffusion tensor imaging tractography can be used in teaching modern neuroanatomy with emphasis on structural connectivity. Anat Sci Educ. 7: 47–55. © 2013 American Association of Anatomists.     

多元智能理论在高校体育教育专业毽球选项课中的应用

多元智能理论是在1983年由美国心理学家马丁·加德纳提出的,将多元智能理论引入高校体育教育专业毽球选项课中是一项重大的教学改革。在分析多元智能理论的含义和毽球运动的作用的基础上探究多元智能理论在高校体育教育专业毽球选项课中的应用。从而构造出一种多元智能化的毽球选项课教学模式,为高校体育教育专业发展提供参考。     

“飞”义的“非”声符字解析

"非"是个独体字,是截取"飛下翅,取其相背"而来的,从"非"的字,有一些仍有"飞"意,或多含有"相背"之义。因此,原字"飞"仍按照其固有的语义系统发展,而"非"一方面含有其截取"飛下翅"时的最初意图所要表达的意义,另一方面仍保留了"飞"的某些遗传基因,所以有时还可以起一点"部分表全体"的作用。"基于此,我们解析了《说文解字》中收录的"俳、蜚、霏"等"飞"义的"非"声符字,并解析了《汉语大字典》中收录的《说文》以外的"飞"义的"非"声符字。     

多元智能理论与英美文学阅读

英美文学阅读课,一直是传统教育中较难的一个环节,多数教师没有考虑学生自身特点,仍然采用统一教学模式,学生学习效果不理想.如果教师能够将多元智能理论运用到课堂教学中,根据每个学生特质进行有针对性的阅读教学,可有效激发学生在英美文学阅读课上的学习热情,能够主动参与小组交流,课堂展示等学习环节,达到预期学习效果.教师在此时要将学习主动权交给学生,让他们在轻松自由的环境中掌握知识,体会学习的快慰.     

释“食”

（食）字由“（亼）”和“ （皀）”两部分构成。当我们结合“（食）”→“（即）”→“（饗）”→“（既）”这一系相连贯的古人用食动作,或者“”→“（飤）”→“”这一过程分析时,就会明确食字所从的“（亼）”象盖形,本义为盖子。食字所从的“皀”字甲骨文作：,其象：食器中堆满饭（小米饭）的形状（上部的数点表示饭散发的热气或香气）。食字由这两部分构成,但又不是如《说文》及《注》所认为的：食是会意字,意思由“亼”与“皀”两字所会。实际上（食）为象形字,象：食器中堆满饭并盖上盖子之形;它与（皀）字的意思相同都指：食器中堆满饭,二者仅有的不同在于（食）有盖子（皀）没有盖子。这是食字的本义,由这个意思可引出仅指食器中的饭食之食物,食物是供人吃的,由此又可指食用之食,如甲文（食麦）。在吃食的过程中食器中堆积如小山般的饭食会逐渐缺少,这就有了缺损义,由此又可指日月食,如（月有食）。吃食在一个时间段进行,由此又可指时间,如（大食）（小食）。     

光子晶体线缺陷波导中的光孤子通信研究

采用平面波展开法分析光子晶体线缺陷波导结构的色散效应,用理论结合数值模拟的方法研究了光孤子的产生机理,给出了波导的色散曲线和入射脉冲的透射谱。结果表明群速度色散(GVD)和自相位调制(SPM)同时起作用时能够实现光孤子传输。     

网络传输的方向是群对群传输研究

网络传输可以分为四种形态：“一对一”,“多对一”,“一对多”和“多对多”。“一对一”是问题分解的终极,而“多对多”则是效率所追求的终极。由四种形态之间转变展开讨论,为了提高效率,网络传输应该转向“多对多”。群对群是“多对多”的另一种传输方式,或者说,是强调分群的“多对多”传输。     

社会化搜索研究进展综述

首先,引入互联网群体协作的思想,对社会化搜索的概念进行初步界定;随后,在宏观与微观两个层面上,重点从动因（why）、用户（who）、目标（what）、形式（how）4个维度对社会化搜索的概念进行深入解析,并分别从行为、技术、应用、资源4个视角对当前社会化搜索的主要研究内容和主题进行归纳,试图从理论上明晰社会化搜索今后的研究思路与方向;最后阐述当前社会化搜索的研究不足和发展趋势。