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关键词： 计算机科学与技术   现代化运用   策略  

摘要： 为促进计算机科学与技术的现代化运用,分析了计算机科学与技术的主要特点,即多极化、智能化、网络化、多媒体化。指出了其发展过程中存在的问题,如工作人员能力不足,网络安全有待提升,使用不够规范等。提出了计算机科学与技术现代化运用策略。应加强培训,提升操作能力,保障信息安全,完善发展体系,提升信息技术应用效率,加强数据管理能力。

关键词： 传播学视野   “黑洞效应”   媒介文化   智能媒介   文化融合   自媒体私信力  

摘要： 媒介的影响渗透于文化的各个层面,形成一种新的社会文化系统——媒介文化(Media Culture),其成为当代世界最值得关注的文化景观与当代文化的重要形态之一。通过对媒介文化研究的传播学反思,发现媒介文化研究客体的重点已从大众传播变迁为小众传播或分众传播、媒介文化参与主体呈现出传统大众传播媒介机构、网络与新媒体、政务媒体和自媒体多元包容的格局。在社会生活中,媒介犹如"黑洞",当前媒介"黑洞效应"主要体现为新媒体的热点效应、"媒介间性"的融合效应、消解用户意见的"极化"效应、"媒介娱乐化"的吞噬效应、文化表面繁荣的"中空"效应和"穿越"文化的反思效应。媒介"黑洞效应"深刻影响媒介文化走向,媒介文化呈现出从媒体融合到文化融合与融合文化、从优化舆论引导到践行文化引领、从提升大众传媒公信力到强化自媒体私信力的发展态势。

摘要： In Fall 2016, the learning communities program at Texas A&M University Corpus Christi, a four-year public institution in Texas, offered its first learning community for incoming Computer Science majors that linked the introductory Computer Science course with a Mathematics course and First-Year Seminar in an effort to improve student performance in first-year Computer Science courses and increase retention rates for students in the major and at the institution. Over the course of the past four years, the faculty members in the Computer Science learning community have developed an assignment sequence that integrates the first-year experience and takes advantage of the inherent benefits of the learning community model in order to promote student success and engagement. Preliminary analysis of grades in the Computer Science introductory sequence courses and retention figures after the first and second year for Computer Science learning community students appear to indicate that the creation of this learning community has had a positive impact on the first-year experience for incoming Computer Science majors.

关键词： 互动式教育   植入心脏永久起搏器   结构性心理干预   自我效能  

摘要： 目的探究互动式教育结合结构性心理干预对植入心脏永久起搏器患者情绪状态、生活质量和自我效能的影响。方法选取我科2017年1月~2019年9月期间94例植入心脏永久起搏器患者作为研究对象,随机分为两组,均给予围术期管理,对照组47例给予互动式教育,观察组47例增加结构性心理干预,3月后,对比两组患者情绪状态、生活质量、和自我效能。结果治疗3个月后,观察组焦虑自评量表(SAS)和抑郁自评量表(SDS)评分较对照组下降(P<0.05);观察组除躯体功能评分较对照组差异无统计学意义(P>0.05)外,心理功能、社会功能、认知功能评分均较对照组高(P<0.05);观察组自我效能感量表(GSES)评分较对照组高(P<0.05)。结论采取探究互动式教育结合结构性心理干预对植入心脏永久起搏器患者治疗效果确切,能够通过让患者掌握心脏永久起搏器的相关知识缓解焦虑、抑郁状态,通过缓解负面情绪提高患者生活质量,通过增强患者信心提高自我效能,且术后并发症发生率低,值得临床推广使用。

关键词： 课堂教学   信息技术教育   美国K-12计算机科学课程标准  

摘要： 普及信息技术教育,是我国国家战略和教育发展改革的重要组成部分,扎根于课堂教学是有效落实的根本。《CSTA K-12计算机科学课程标准(2017年修订版)》基于全纳教育的教育理念、计算机科学的学科本质、面向未来的教育需求和实践可操作的教学标准进行研制和表达,其学科概念结构化体系、普及计算机科学教育、将计算思维作为思维方式和教学目标融于多学科教学中、系统进阶的结构化表述与呈现方式等方面的设计,对我国信息技术学科课程建设、课程标准内容的设计、面向每个学生的课堂教学的推进,提供了有益的参考和借鉴。

关键词： Correlation   Clustering algorithms   Silicon compounds   Optimization   Computer science   Visualization   Trees   insulation   Multi-label learning   label distribution learning   label correlations  

摘要： Label distribution learning (LDL) is proposed for solving the label ambiguity problem in recent years, which can be seen as an extension of multi-label learning. To improve the performance of label distribution learning, some existing algorithms exploit label correlations in a global manner that assumes the label correlations are shared by all instances. However, the instances in different groups may share different label correlations, and few label correlations are globally applicable in real-world tasks. In this paper, two novel label distribution learning algorithms are proposed by exploiting label correlations on local samples, which are called GD-LDL-SCL and Adam-LDL-SCL, respectively. To utilize the label correlations on local samples, the influence of local samples is encoded, and a local correlation vector is designed as the additional features for each instance, which is based on the different clustered local samples. Then, the label distribution for an unseen instance can be predicted by exploiting the original features and the additional features simultaneously. Extensive experiments on some real-world data sets validate that our proposed methods can address the label distribution problems effectively and outperform state-of-the-art methods.

摘要： Our institution has adopted a Maymester, a brief academic term held at the end of the academic year. Students who enroll in this optional term take a single immersive course for three weeks. This paper describes the authors' experiences in teaching five different computer science courses during the Maymester. The small class size, brief duration, and intense schedule pose special teaching opportunities and challenges. Some classes are programming intensive, while others have a broader or more liberal arts focus. Daily class activities are highly interactive. The Maymester has allowed us to offer a greater variety of new courses in subjects that otherwise could not be taught at our small college.

摘要： Single Board Computers (SBCs) are a key enabler of the Maker movement and have found a place in education. The two dominant SBCs in education, the Arduino and Raspberry Pi, are now commonly used in courses in Engineering, Computer Science, and Robotics [4, 3, 2, 5]. Their ability to inexpensively work with sensors, servos, Wifi, Bluetooth, audio, video, and images opens opportunities for exciting and engaging projects [1]. New, more powerful and/or cheaper platforms continue to be added to the SBC landscape. Examples include the micro:bit, Arduino MKR series, Adafruit Feather, and Teensy.

关键词： 地方院校   人才培养   计算机学科   拔尖创新人才  

摘要： 构建拔尖创新人才的有效培养模式,使拔尖创新人才茁壮成长,是建设创新型社会、进一步提升高校教学质量的迫切要求。在计算机学科本科生拔尖创新人才培养方面,长沙学院从人才选拔、师资配备、人才培养等环节着手,形成了集教学科研融合、校企融合、以赛促教、以赛促学于一体的全新育人模式,有效提高了学生的综合素质和实践创新能力,对地方院校计算机学科拔尖创新人才培养具有一定的参考价值。

关键词： Protocols   Radiofrequency identification   Servers   Computational efficiency   Mobile computing   Real-time systems   Computer science   RFID system   grouping   unexpected tag   communication time lower bound   optimal protocol  

摘要： Radio frequency identification (RFID) has been widely used in many fields such as object tracking and inventory management. For RFID systems, grouping is a fundamental issue which can support efficient multicast transmissions, dynamic tag management, and accurate aggregate queries. Existing grouping protocols have drawbacks of unknown theoretical communication time, high computational cost on the server end and inability to deal with unexpected tags which are those tags whose IDs have not been collected by readers. In this paper, we would like to address the above limitations and consider a more general grouping problem that allows an arbitrary number of unexpected tags to present. Our objective is to design a protocol that guarantees the reader to efficiently and correctly notify each known tag of its group-ID, while the probability that an unexpected tag is mistakenly notified of any group-ID is smaller than a pre-determined value. In this paper, we first obtain a lower bound on the communication time for solving this generalized grouping problem. Then, we propose a near-optimal protocol, called OPT-G, and prove that its communication time approximately equals the lower bound. Finally, we report extensive simulation results that demonstrate OPT-G's near-optimal performance and its superiority over existing baseline schemes.