Enriching Service Learning by its Diversity: Combining University Service Learning and Corporate Social Responsibility to Help the NGOs Adapt Technology to Their Needs

Community-based service learning helps students link subject matter to everyday life and developing sense of responsibility to their community. Corporate social responsibility (CSR) is a form of corporate self-regulation integrated into a business model. Both promote civic engagement but the two hardly come across each other. We explore the process that enriched service learning with its diversity by combining CSR practices of a multinational software company. It begins by exploring different forms of action research with a focus on action engagement to improve students’ involvement in marginalized communities. The article provides field-based reflections of the sustained engagement and suggests ways in which service learning experiences may create rooms for innovation and growth in the non-profit sector, local communities, businesses, and students themselves.     

直线滚动导轨额定静载荷的计算

本文采用轴承理论关于额定静载荷的定义,推导了直线滚动导轨分别以滚动体与滚道接触处的最大接触应力小于或等于许用接触应力为许用判据;以及应用Palmgren计算公式和Harris修正方程,以接触应力最大处滚动体和滚道的总塑性变形量小于或等于滚动体直径的万分之一为许用判据的额定静载荷计算公式.同时说明安顿极限(shake-down limit)也可能作为计算直线滚动导轨额定静载荷的许用判据.     

服装计算机集成制造系统的信息集成方案

服装ＣＩＭＳ实现的关键在于信息集成．本文提出了一种服装ＣＩＭＳ的信息集成设计方案，具体地阐述了服装生产全过程的规划与控制的信息集成，以及服装ＣＩＭＳ各子系统信息集成的方法，同时还介绍了服装ＣＩＭＳ信息集成的核心支撑子系统──数据库系统的设计．     

大丽花脱毒方法的探讨

本文针对大丽花受病毒侵染严重的现状,放弃了成功率很低的茎尖脱毒生产无毒苗的方法,进行了花培法脱毒的尝试,经过多次实验表明,大丽花的花也能诱导出苗,花培法可以使脱毒苗的成功率提高,可以加快无毒苗生产速度.用花培法脱毒,为大丽花的试管苗脱毒开辟了一条新的途径.     

基于深度学习和经验模态分解的 双列圆锥滚动轴承故障诊断

双列圆锥滚动轴承在列车走行部应用广泛,由于该类轴承结构比较复杂,传统的故障诊断方法难以识别该类轴承的早期微弱故障.为此,提出基于深度学习的双列圆锥滚动轴承早期微弱故障诊断方法.首先,对轴承的振动信号进行经验模态分解,提取信号的瞬时能量构造特征向量;最后,利用深度学习方法对特征向量进行无监督学习,生成故障诊断分类器,完成故障的分类识别.实验中对某型号双列圆锥滚动轴承的正常状态、内圈故障和外圈故障进行信号分析与故障识别.结果表明,所提方法能有效识别双列圆锥滚动轴承的早期微弱故障,分类准确率达到98%.     

纳米TiO2的制备及甲醛光催化降解的研究

以钛酸丁酯为前驱体，采用溶胶—凝胶法制备Ti02粉体，并通过TEM和XRD对其进行了结构性能表征。将Ti02粉体制备成薄膜后，进行甲醛的光催化降解实验，考察了制备条件对光催化性能的影响。TEM和XRD检测结果表明，Ti02粉体平均粒径为10-40nm，晶型绝大部分为锐钛型。实验研究表明，在溶肢体系pH＝3，钛酸丁酯5mL，无水乙醇34mL，去离子水2mL，冰醋酸2mL，活化温度600℃，活化时间5h条件下，制得的Ti02光催化活性最高。     

A note on stability of the split-step backward Euler method for linear stochastic delay integro-differential equations

In the literature(Tan and Wang,2010),Tan and Wang investigated the convergence of the split-step backward Euler(SSBE) method for linear stochastic delay integro-differential equations (SDIDEs) and proved the mean-square stability of SSBE method under some condition.Unfortunately, the main result of stability derived by the condition is somewhat restrictive to be applied for practical application.This paper improves the corresponding results.The authors not only prove the mean-square stability of the numerical method but also prove the general mean-square stability of the numerical method.Furthermore,an example is given to illustrate the theory.     

粉煤灰堆积体地层连拱隧道开挖错距影响分析

粉煤灰堆积体自稳能力差,受力即破碎成散颗粒,隧道穿越粉煤灰场区时失稳围岩对施工安全构成极大威胁。以盐坪坝连拱隧道为依托,根据粉煤灰力学性质对比选用了塑性-硬化本构,通过有限差分软件FLAC3D对不同开挖错距施工进行数值模拟,研究5、10、15 m不同开挖错距对粉煤灰堆积地层中双连拱隧道的围岩和结构的影响。结果表明：中导洞台阶开挖错距不宜超过10 m, 15 m错距工况相比10 m错距工况应力最大值增长了36.82%,左右洞采用小开挖错距可以有效减少中导洞拱顶位移;中导洞开挖完成后左右洞拱顶竖向位移达到总沉降量约50%,左洞拱顶沉降位移与开挖错距近似线性增长,后行洞开挖过程中对先行洞造成的影响较大;主洞采用不同开挖错距时应力集中区域分布在不同位置,开挖错距大于10 m后结构应力增幅快速增长,15 m错距相比10 m错距应力最大值增长了17.28%,主洞开挖错距不宜超过10 m。     

Photosynthesis characteristics of three species of forages in the arid-hot valleys

By using TPS-1 portable photosynthesis measuring system, the photosynthesis characteristics of three kinds of high quality forages used in the arid-hot valley eco-agricultural models in Yuanmou were measured. The paper shows that Pennisetum purpureum Schumach is the heliophilous shade tolerance C4 plant and Styiosanthes guianensis is the heliophilous shade tolerance plant, both of them could make full use of the light energy under the weak light environment and have relatively strong CO2 assimilation capacity. Cajanus cajan（L.） Millspaugh is the strong heliophilous plant with high requirement for light and has a relatively weak CO2 assimilation capacity. Generally, these three kinds of high quality forages are drought resistant and show a relatively good adaptability to the arid-hot valley environment. To improve cultivation administration level and to interplant timely in the forest can be helpful to the ecological niche and to improve the productivity force.     

Application of the concepts of neural network and tree structure in rare earth separations

The concepts of neural network and tree structure are introduced to rare earth separations. The recursive relations and analytical expression for calculating the possible flow sheets and processes are derived in multicomponent systems based on dichotomy. As an example, the application of the concepts is elucidated in detail in a separation of light rare earths containing La, Ce, Pr and Nd in the HEH(EHP)-HCl system. The results show that this method is beneficial to summarizing and classifying the flow sheets and processes in rare earth separations, and is essential to the optimization of separation flow sheets. It can also be applied to the separation into group situations and other similar cases, too.