Breaking Down Barriers for Student Parents and Caregivers with Family-Friendly Library Spaces     

Anne Cooper Moore  Rebecca Croxton  Lindsey Sprague 《图书馆管理杂志》2020,60(3):215-234

Abstract

In 2016, J. Murrey Atkins Library at the University of North Carolina at Charlotte opened a reservable study room where student parents and caregivers can study with their children on campus. In 2018, the library opened a second family-friendly study room to meet the needs of our growing campus community. To inform the room design, the library conducted a mixed methods research study that included a user survey, an examination of room reservation and usage data, and one-on-one user interviews. This paper focuses on the user-centered design process used to inform the development of the second, family-friendly, library study room.  相似文献   

汇川H2U系列PLC之间RS-485通信的实现     

尚丽  叶国平 《苏州市职业大学学报》2020,(2):15-21

主要研究了汇川公司H2U可编程控制器(PLC)的通信技术,实现了两个H2U系列PLC之间基于RS-485的通信,并详细介绍了PLC之间通信的硬件连接方式、通信串口参数配置、触摸屏画面的设计以及程序实现。所讨论的方法已在采用H2U PLC及辅助设备组建的"运动控制系统"课程的教学实验平台上进行了验证,可以拓展应用于多台H2U PLC之间以及其他设备与H2U PLC之间的RS-485通信实现,对工程应用具有一定的借鉴意义。  相似文献   

Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods     

《International Journal of Information Management》2019

Cross-Company Churn Prediction (CCCP) is a domain of research where one company (target) is lacking enough data and can use data from another company (source) to predict customer churn successfully. To support CCCP, the cross-company data is usually transformed to a set of similar normal distribution of target company data prior to building a CCCP model. However, it is still unclear which data transformation method is most effective in CCCP. Also, the impact of data transformation methods on CCCP model performance using different classifiers have not been comprehensively explored in the telecommunication sector. In this study, we devised a model for CCCP using data transformation methods (i.e., log, z-score, rank and box-cox) and presented not only an extensive comparison to validate the impact of these transformation methods in CCCP, but also evaluated the performance of underlying baseline classifiers (i.e., Naive Bayes (NB), K-Nearest Neighbour (KNN), Gradient Boosted Tree (GBT), Single Rule Induction (SRI) and Deep learner Neural net (DP)) for customer churn prediction in telecommunication sector using the above mentioned data transformation methods. We performed experiments on publicly available datasets related to the telecommunication sector. The results demonstrated that most of the data transformation methods (e.g., log, rank, and box-cox) improve the performance of CCCP significantly. However, the Z-Score data transformation method could not achieve better results as compared to the rest of the data transformation methods in this study. Moreover, it is also investigated that the CCCP model based on NB outperform on transformed data and DP, KNN and GBT performed on the average, while SRI classifier did not show significant results in term of the commonly used evaluation measures (i.e., probability of detection, probability of false alarm, area under the curve and g-mean).  相似文献   

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com     

Wenchao Ma  Jimmy de la Torre 《Educational Measurement》2019,38(2):114-115

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.  相似文献   

全渠道零售场景下配送车辆路径问题     

施天娇  杨斌  朱小林 《上海海事大学学报》2020,41(2):51-57

为研究全渠道零售的配送系统对企业物流成本的影响,综合考虑时间窗、车型选择等因素,以运输成本最低为目标,建立高度协同的全渠道零售场景下的物流配送模型。该模型采用自适应遗传算法求解,利用MATLAB进行算例分析。结果显示:全渠道零售模式下的车辆调度方案能迅速响应消费者需求,与一般配送模式相比可以减少物流成本,优化车辆配置。与粒子群优化算法相比,自适应遗传算法的运行时间更短、优化结果更好,这验证了模型和算法的可行性和有效性。  相似文献   

线状需求下两阶段设施选址问题     

王紫萌  周建勤 《上海海事大学学报》2020,41(3):60-65

鉴于大型交通线路建设项目的物资需求随时间变化(在初期阶段需求较低;在后续阶段项目全面展开,需求显著上升),本文采用线积分对沿线连续分布的线状物资需求进行刻画,构建两阶段设施选址模型,第一阶段进行部分设施的选址,第二阶段对剩余设施选址,以实现系统总成本最低的目标。针对模型特点,设计基于Voronoi图的两阶段交替定位-分配(alternative location-allocation,ALA)算法进行求解,并进行实例分析,比较两阶段模型与传统模型的异同。研究表明,将两阶段设施选址模型应用于交通线路建设项目多物流节点选址,能节约运营成本,并缓解初期资金压力。  相似文献   

FPSO爆燃事故加强机制分析     

张兴东  张彬  丰伟东  吉玛 《上海海事大学学报》2020,41(4):103-107

为探究海上浮式生产储油卸油船(floating production storage and offloading，FPSO)爆燃事故加强机制，采用计算流体力学(computational fluid dynamics, CFD)对FPSO爆燃事故进行数值模拟。模拟结果表明，在拥塞度较大的钢架结构区域，火焰速度和爆燃压力急剧增大。为进一步探究复杂钢架结构和管系对爆燃事故的加强机制，搭建半开敞管道甲烷 空气爆燃实验系统。实验结果表明，在爆燃过程中复杂钢架结构和管系能够诱导火焰产生强烈的湍流作用，加快未燃气体的燃烧速度，导致爆燃事故后果加强。结合数值模拟结果与实验结果，为FPSO爆燃事故防治给出建议。  相似文献   

Digital Module 07: Subscores: Evaluation and Reporting https://ncme.elevate.commpartners.com     

Sandip Sinharay 《Educational Measurement》2019,38(3):114-115

  相似文献   

体育与(健康)课程中的心理健康教育     

王霞 《福建体育科技》2003,22(2):62-64

本文阐述了体育 (与健康 )课程中实施心理健康教育的意义及该课程对心理健康的影响 ,并对体育 (与健康 )课程中实施心理健康教育的途径进行了探讨 ,为全面推进素质教育 ,提高学生心理健康水平提供参考。  相似文献   

体育教育专业学生英语学习方式调查研究   总被引：3，自引：0，他引：3  

孟悦 《沈阳体育学院学报》2003,22(4):88-90

报告了对沈阳体育学院体育教育专业学生外语学习方式倾向的调查研究,并以问卷为研究工具。运用定量研究方法,分析了个体差异如性别、外语水平等对学生学习方式倾向的影响。结果显示学生喜欢多种外语学习方式,外语成绩优、差学生6种学习方式均无显著差异,男生比女生更喜欢听觉学习,女生比男生更喜欢视觉学习。据此提出外语教师应根据学生的认知特点灵活运用各种教学方式,并指导学生调整和扩展多种学习风格以促进教与学的协调发展。  相似文献