Impacts of Online Remote Education on the Learning Process among Nursing Students

The period of existence and spread of Corona virus has led to the use of all means of remote education as an urgent necessity for all educational facilities, especially universities. Aim: Therefore, it was necessary to study the impacts of online remote education on the learning process among nursing students through studying of two courses;health information management at 6th semester and gerontology nursing course at 4th semester. Tool of Data Collection: A modified questionnaire comprised of forty statements was used through paper-based survey and online survey. Sample: A total samples (224) of nursing students were participated in the survey who enrolled in 2019 and 2020 spring semesters. Setting: The field of study was the nursing department of Applied Medical Science at Misr University for Science and Technology. Results: Induced positive impacts of online education on the learning process for nursing students experience were proven as more than half of the students (53.9%) had prior experience on online system use, and more than two thirds (62.5%) were competent in mobile/computer applications. Almost, two thirds (59.3%) agreed about online assessment experience, except that the online exam was anxious, and the time was insufficient to answer all questions. Also, more than two thirds (64.7%) agreed about the learning process of the two nursing courses. Conclusion: The study concluded that there were positive impacts of online education system on the learning process for nursing students except that the students were not able to decide that the remote online education system can replace traditional face-to-face learning as the clinical experience was not evaluated through this study. Recommendation: This study is recommended to be repeated on a large scale of participants to assess the possibility of achieving clinical experience through online remote education if Corona virus still coexists.

通过NFS实现Informix-Online数据库异地备份

介绍了NFS(网络文件系统)的原理和在SCO UNIX中配置NFS的方法,并给出了一个利用NFS对Inform ix-On line数据库进行异地备份的实例。由于数据异地备份是保证数据安全的基本要求,因此,该方法对需要异地备份数据的应用系统极具实用价值。

E-commerce development in rural and remote areas of BRICS countries

E-commerce plays an essential role in modern trade today.It is expected that e-commerce volume amounted to 29 trillion USD in the world in 2017,and would grow with the spread of the Internet and information and communication technologies(ICTs).Brazil,Russia,India,China and South Africa(BRICS),together with many others,consider e-commerce a means to facilitate rapid,inclusive and sustainable economic growth,improving the living standards and alleviating poverty.This article examines areas for potential cooperation by BRICS countries in e-commerce development across rural and remote areas to fight poverty.It analyses the current state of e-commerce development in rural and remote areas in each of the BRICS countries,including cases of public and private initiatives to support it.The article also defines the opportunities which e-commerce brings to people living in rural and remote areas.Moreover,it evaluates the existing challenges and risks.The article concludes that despite the rapid e-commerce development in BRICS countries,and significant opportunities created,there are still issues of disproportionate e-commerce in varied regions and the lack of BRICS cooperation in this sphere.Based on a comparative and normative in-depth,systematic analysis,the article develops a set of recommendations for deepening BRICS countries'cooperation in the following areas:infrastructure in rural and remote regions;education;consumer protection;online dispute resolution;coordinated policy in the international scene,including representation of BRICS countries in international indexes,such as the Organization of Economic Co-operation and Development(OECD)Digital Services Trade Restrictiveness Index(STRI).

利用RemoteApp实现涉密电子信息集中管控系统的安全在线编辑

从涉密电子信息分散存储在用户的电脑、手机或移动存储,到采用涉密电子信息集中管控系统来集中管控涉密电子信息,体现了质的飞跃.然而,涉密电子信息集中管控系统对电子文件的在线编辑必须依赖本地第三方软件,存在失泄密的隐患.提出一种基于RemoteApp的安全在线编辑方法,从根本上巩固了电子信息在编辑环节的安全性.

Smart Photogrammetric and Remote Sensing Image Processing for Very High Resolution Optical Images——Examples from the CRC-AGIP Lab at UNB

This paper introduces some of the image processing techniques developed in the Canada Research Chair in Advanced Geomatics Image Processing Laboratory (CRC-AGIP Lab) and in the Department of Geodesy and Geomatics Engineering (GGE) at the University of New Brunswick (UNB), Canada. The techniques were developed by innovatively/“smartly” utilizing the characteristics of the available very high resolution optical remote sensing images to solve important problems or create new applications in photogrammetry and remote sensing. The techniques to be introduced are: automated image fusion (UNB-PanSharp), satellite image online mapping, street view technology, moving vehicle detection using single set satellite imagery, supervised image segmentation, image matching in smooth areas, and change detection using images from different viewing angles. Because of their broad application potential, some of the techniques have made a global impact, and some have demonstrated the potential for a global impact.

Customized Online Aggregation &Summarization Tool for Environmental Rasters (COASTER)

The Customized Online Aggregation & Summarization Tool for Environmental Rasters (COASTER) system (www.COASTERdata.net) was developed by Yellowstone Ecological Research Center (YERC) (www.yellowstoneresearch.org) in response to the information needs of end-user communities interested in decision-support for natural resource management. The purpose of COASTER is to greatly simplify the process of creating predictor datasets for research exploring environmental impacts driven by climate change, land-use activities, disturbance, and invasive spread. COASTER achieves this goal by providing users with a web-based system for processing environmental (gridded, raster) datasets, using a set of standardized functions, to create output customized to meet their analytical needs. In doing so, COASTER effectively translates large and cumbersome datasets into user-specified information useful for parameterizing statistical models and for visualizing spatial and temporal patterns within environmental datasets. The COASTER system currently contains over 10 terabytes of climate data from several sources. These datasets have daily temporal resolutions, spatial resolutions ranging from 1km to 330km, and temporal extents ranging from 30 to 64 years (1948-2011). COASTER datasets are primarily limited to North America, but gridded datasets from other regions can easily be added to the system. Variables within the climatic datasets available on COASTER include metrics quantifying temperature, precipitation, shortwave radiation, vapor pressure deficit, humidity, and wind conditions. Notable features of COASTER include a conceptually simple yet flexible set of functions capable of producing a wide range of outputs, a design applicable to many types of raster datasets, and results formatted for seamless integration within most GIS and remote sensing software packages.

A RBF classification method of remote sensing image based on genetic algorithm

The remote sensing image classification has stimulated considerable interest as an effective method for better retrieving information from the rapidly increasing large volume, complex and distributed satellite remote imaging data of large scale and cross-time, due to the increase of remote image quantities and image resolutions. In the paper, the genetic algorithms were employed to solve the weighting of the radial basis faction networks in order to improve the precision of remote sensing image classification. The remote sensing image classification was also introduced for the GIS spatial analysis and the spatial online analytical processing (OLAP), and the resulted effectiveness was demonstrated in the analysis of land utilization variation of Daqing city.

An Effective Online Collaborative Training in Developing Listening Comprehension Skills

The COVID-19 outbreak severely affected formal face-to-face classroom teaching and learning.ICT-based online education and training can be a useful measure during the pandemic.In the Pakistani educational context,the use of ICT-based online training is generally sporadic and often unavailable,especially for developing English-language instructors’listening comprehension skills.The major factors affecting availability include insufficient IT resources and infrastructure,a lack of proper online training for speech and listening,instructors with inadequate academic backgrounds,and an unfavorable environment for ICT-based training for listening comprehension.This study evaluated the effectiveness of ICT-based training for developing secondary-level English-language instructors’listening comprehension skills.To this end,collaborative online training was undertaken using random sampling.Specifically,60 private-school instructors in Chakwal District,Pakistan,were randomly selected to receive online-listening training sessions using English dialogs.The experimental group achieved significant scores in the posttest analysis.Specifically,there were substantial improvements in the participants’listening skills via online training.Given the unavailability of face-to-face learning during COVID-19,this study recommends using ICT-based online training to enhance listening comprehension skills.Education policymakers should revise curricula based on online teaching methods and modules.

Development of Online Based Smart House Renting Web Application

The house rental issue is one of the elemental parts of society. Nowadays, it is extremely difficult to find suitable accommodation in city areas if people search for it physically. On the other hand, the land owner also needs to rent the house. It can be difficult to find tenants just to hang a lease sign on a building, and as a result, they lose money. An online common platform can play a vital role in this case. The purpose of the study is to develop a common web-based online platform for both tenants and house owners so that both tenants and landowners will mutually benefit from the system. This paper presents the development of web applications for the people of Bangladesh where both house owners and tenants can register and tenants can have houses for rent via sophisticated contact with the house owner. In this paper, a common online-based smart house rental web application has been developed both for tenants and for house owners. This web application is very user-friendly, efficient and it has got many unique features that are not offered by other currently available house rental websites here in Bangladesh. Tenants can register using their phone number, store information about their identity, search for available houses, send messages to house owners, and choose a suitable house using developed web applications. House owners can also register for the system, which will manually verify and authenticate the knowledge provided by the house owner can view a tenant’s information history whenever a tenant makes contact through text and supply house-related information accordingly. The proposed online smart house system has been tested and validated. It works very efficiently with many features. The application provided faster and improved opportunities to get houses, as well as ensuring the availability of houses for rent in the greatest number of areas. The system will help to spread trustworthy services nationwide and supply users with the chance to speak and improve the house rent in Bangladesh. Because it has many smart features, this developed online smart house rental web application will make it very easy for tenants to find a house to rent. House owners, on the other hand, can easily rent out their properties.

低轨遥感卫星全时在线测控技术综述

本文分析了低轨遥感卫星实现全时在线的4个随时需求,概述基于中继、北斗以及移动通信卫星系统等开展低轨遥感卫星天基测控的现状,提出了对应的天基测控方案,对比分析了各种途径的特点,提出构建天地基综合测控服务体系、发展多手段一体化综合测控终端、优化遥感卫星分级分类测控运管策略等设想,为实现低轨遥感卫星全时在线、随时指控应用探索了一种发展路径。

同伴面对面互动和远程互动中的学习者投入研究

本研究考察了同伴面对面互动和远程互动中的学习者投入。12名(6对)英语专业一年级学生在一学期中经历了同伴面对面互动和远程互动。通过分析他们的三次面对面互动和三次远程互动的录音文本,研究表明,在两类互动中,学习者在行为、认知和社会三个维度的投入并无显著差异。对8名学生的访谈结果显示,在情感投入方面,尽管学习者更加倾向于面对面互动,但同伴之间的配合没有因互动方式的改变而出现差异。上述结果表明,远程环境中的同伴互动效果与传统课堂环境中的同伴互动效果差别有限,这在一定程度上为开展远程互动提供了实证支撑。

煤矿井下钻探远程支持技术及其应用前瞻

为提升钻探工艺技术信息化程度,进一步提高业务水平、服务效率和企业管理水平,提出以煤矿井下钻探技术为理论支撑,基于网络有线、无线传输等建构煤矿井下钻探技术远程支持服务体系,开发出基于该远程支持服务体系的煤矿井下钻探技术远程服务平台系统。平台的功能实现由5个模块组成,包括慕课视频点播模块、远程故障维修模块、远程技术支持模块、消息推送模块、信息安全模块。通过基于“端对端”的钻探技术标准化培训平台和基于浏览器/B/S架构的钻探技术装备远程指导系统,为施工现场提供了故障诊断、技术查询、可视化维修等技术支持,使煤矿井下钻探技术服务更高效、更及时,有力提高了服务效率,降低了人工成本,更有效地提升了钻探工艺服务信息化程度,为钻探设备的智能化发展赋能。

网络远程招生方式前后三年脑血管病方向统招硕士研究生生源情况分析

目的 通过对比网络远程招生与非网络远程招生方式下脑血管病方向统招硕士研究生的一般情况和成绩等信息,探讨网络远程招生方式对生源质量的影响。方法 以首都医科大学附属北京天坛医院2017-2022年脑血管病方向的统招硕士研究生为研究对象,根据招生方式将其分为两组,2017-2019年招收的统招硕士研究生为非网络远程招生组,2020-2022年招收的为网络远程招生组。本研究主要通过历年的研究生复试名单来获取研究数据,收集的信息包括考生的性别、年龄、民族、毕业院校、是否是应届生等基本信息以及其初试成绩和复试成绩,并对两组考生的上述指标进行差异化分析。结果 2017-2022年,首都医科大学附属北京天坛医院脑血管病方向的统招硕士研究生生源数量总体呈增长趋势。在所招收的统招硕士研究生中,女性88名(33.98%),比例低于男性,民族以汉族(246名,94.98%)为主,来源以应届毕业生(203名,78.38%)为主,网络远程招生组与非网络远程招生组相比,上述指标的差异均不具有统计学意义。网络远程招生组生源的平均年龄显著小于非网络远程招生组[(23.1±1.1)岁vs.(23.5±1.3)岁,P=0.014]。网络远程招生组神经病学和外科学(神经外科)专业的统招硕士研究生复试成绩均显著高于非网络远程招生组[神经病学,(255.5±12.3)分vs.(241.0±13.8)分,P<0.001;外科学(神经外科),(259.9±11.6)分vs.(249.3±13.1)分,P<0.001]。结论 网络远程招生的硕士研究生复试成绩在一定程度上优于非网络远程招生,为未来研究生招生形式提供了参考。

物联网+大数据技术的制浆造纸设备远程在线故障监测系统研究

机械装置若是有了故障,不能对其进行及时处理,则会对最终的生产质量、效率带来负面作用。将制浆造纸设备作为对象,开发出以物联网+大数据作为基础的故障监测方法,并可支持远程。国家经济的持续发展,离不开造纸业的支持,想要提升该行业稳步发展,就需得到先进造纸设备支持,为了及时发觉故障,并对其迅速处理,就需通过远程故障监测法进行实现。为此,还进一步对这种远程监测技术概念进行了论述,并对其应用进行分析,剖析了这种监测技术受到在线监测、大数据等技术的积极影响,同时还对制浆造纸远程故障监测技术的未来发展趋向进行了展望。

煤矿井下低压供电系统远程集控漏电试验平台设计研究

对目前煤矿井下低压供电系统特征及漏电原因进行了深入研究,分析了导致漏电的影响因素以及由此所带来的危害;在此基础之上通过对远程通信技术、数据采集技术以及漏电检测技术的统筹运用,立足煤矿电力监控系统软件的自身实际,设计了与之相匹配的远程集控漏电试验平台。对该平台的结构进行了详细阐述,并对其中的重要构成部件,如监控系统、漏电试验电阻箱等和相关的软硬件设计进行了具体介绍;并对低压漏电试验的有效性进行了现场有效验证;实际应用结果表明,符合煤矿远程低压漏电试验的相关要求,大幅降低了由于漏电而产生的停电、送电安全风险,提高了煤矿井下低压供电系统的远程在线安全监控能力。

航天设备的FPGA安全远程更新与快速在线重构技术

为了解决航天设备中现场可编程逻辑门阵列(FPGA)总装后需远程更新,以及在轨运行时多模式快速切换的问题,实现了一种基于快速启动的FPGA安全远程更新技术和采用内部配置访问端口(ICAP)的FPGA快速在线重构方法。通过文件传输时的握手机制、数据多次校验和在Flash存储区设计关键开关字,保证了更新镜像的安全可靠远程更新;利用ICAP发送热启动跳转序列和内部编程(IPROG)命令,实现了FPGA的快速在线重构。实验验证了多个FPGA设备同时远程更新和在线重构,并在更新失败的情况下,依然可以运行旧版本和再次远程更新,提高了航天设备的研制效率,增强了系统运行的安全可靠性。

智能监测系统在工业循环水检测中的应用

文章在传统的工业循环水分析方法的基础上,开展了工业循环水水质智能监测系统的研究。该系统采用先进的智能化的中央控制技术及一体化的信息集成技术,满足多种终端场景应用的数据监控平台,能够实现在线监控和远程操作,可连接实验室信息管理系统(LIMS)自动上传数据。该系统配置多通道采配水、连续流动分析模块,实现了循环水无交叉污染的多参数实时测量。结果显示,该系统功能多、准确度高、实时性好、操作性强。

刑事诉讼证人出庭与远程视频作证——基本权干预的视角

面对刑事诉讼证人出庭难的实践挑战,远程视频作证成为技术层面的创新应对之策.然而,以证人在线出庭作为传统线下出庭的替代方案,存在正当性疑问.证人出庭对于查明案件事实至关重要,更是确保对质诘问权得以实现的程序保障.被告人与证人的直接对质诘问,是人的本能追求,也被国际司法规范认定为公正审判的基础性要求.从我国宪法文本出发,可以推导出对质诘问权的基本权地位.作为诉讼行为的远程视频作证,将不可避免地触及对质诘问权的核心内涵,从而具有基本权干预的性质.为规范远程视频作证,确保基本权干预的正当性,立法需要为其设置适当的正当化事由,包括但不限于当事人同意、证人无法出庭及证人保护等.

基于红外热成像的钢包监测系统设计

冶金行业在生产过程中钢包一直运行在恶劣的环境中,对钢包内壁材料的健康程度进行及时检测对安全生产具有非常重要的意义。本文运用机器视觉技术对钢包号码进行识别、运用红外热成像仪对钢包外壁温度进行在线测量,并结合软件编程技术设计基于红外热成像的钢包监测系统,实现了钢包外壁温度的远程在线测量,并通过红外历史图片与历史数据曲线判断钢包内壁材料的缺损程度。本系统对钢铁行业的安全生产和智能制造水平具有一定的推动作用。

公选课程线上线下同步混合教学实践研究

在高校合并和扩建的大潮下,我国高校目前普遍形成多校区办学格局。这样虽然扩大了教育规模、优化了学科结构,但是也导致了公共教学资源学科不均衡、优质选修课程异地难共享等问题。基于中山大学“科学前沿新视野”系列公选课程,在2020—2022年期间分别开展了单校区线下教学、多校区线上教学,并探索了基于远程同步课堂的线上线下混合教学实践,从选课情况、课程考勤、课程讨论、课程评价等角度对不同教学模式进行分析比较,综合讨论了公选课程在多校区线上线下同步混合教学的可行性和必要性。