异构数据集成方法研究与实现

为解决异构数据集成的复杂性问题，文章提出了一种异构数据同步的新方法——半集成式中间件法。该方法成功地应用在重庆市社会保障综合信息系统中，具有易于实现、可扩展性、跨平台性和效率高等特点。     

Zooplankton population in the river tigris: Effects of samarra impoundment

The influences of the Samarra impoundment on the ecology of the downstream sector of the river Tigris are investigated. Zooplankton were collected monthly from July 1987 to July 1988. It was found that zooplankton were most abundant during high river discharges in March. During the month of low river discharge, September, the zooplankton population was greatly reduced immediately below the barrage and remained so to the last downstream station. Several factors seem to explain such differences. The high discharge from the impoundment was found to be the dominating factor and may flush the small backwaters in which zooplankton were abundant, thus increasing the population in the river. Zooplankton species vary in their ability to sustain populations in the river, variations which are due mainly to species-specific characteristics.     

基于多数据库的异地业务实现

中国的电信市场已进入一个以服务为核心的时代,电信运营商之间的竞争愈趋激烈,服务将是赢得客户的关键因素。异地业务是指用户在漫游地办理业务。按照漫游地异地业务分为省内异地业务与跨省异地业务。实现异地业务涉及到多数据库技术、数据库复制技术、中间件技术等多项技术的融合。结合实际应用进行了深入分析,同时对于采用单数据库技术、交换技术实现的异地业务也进行了分析。     

Applications of Telos

EuLisp has an integrated object system with reflective capabilities. We discuss some example applications which use these facilities to experiment with some advanced and powerful concepts, namely, finalization, virtual shared memory and persistence. A secondary goal is to attempt to illustrate the additional possibilities of metaobject programming over non-metalevel techniques.     

实时中间件的研究与实现

解决分布式应用日益增多的实时问题需要实时中间件.实时中间件是分布式实时应用的支撑平台,它为应用提供表达实时约束的手段,并提供调度请求的机制和多种控制资源的方法,从而为分布式应用实现执行时间的可预测性提供方法.本文给出了实时中间件的概念体系,在分析中间件的体系结构模型的基础上,提出了一个多级线程池实时中间件体系结构,该模型不仅具有较强的并发处理能力,而且可以控制网络和请求使用的各种资源,能够提高系统的时间可预测性.采用该体系结构,我们实现了一个遵循实时CORBA规范的实时ORB,并通过详细的对比测试验证了多级线程池实时中间件模型的有效性.     

NGN问题及其发展策略考虑

本文在分析讨论NGN的背景，目前存在的争议基础上，结合中国国情，重点对NGN框架目标进行了展望并提出了发展策略考虑。     

Self-regulation and extended now: Controlling the self alters the subjective experience of time.

These studies investigated self-regulation and subjective experience of time from the perspective of the regulatory resource model. Studies 1-2 showed that participants who were instructed to regulate their emotions while viewing a film clip perceived that the film lasted longer than participants who did not regulate their emotions. In Study 3, participants provided time estimates during a resource-depleting or nondepleting task. Subsequent task persistence was measured. Time perceptions mediated the effect of initial self-regulation on subsequent self-regulated performance. In Study 4, participants performed either a resource-depleting or a nondepleting thought-listing task and then performed a different regulatory task. Compared with nondepleted participants, depleted participants persisted less on the 2nd task but estimated that they had persisted longer. Subjective time estimates statistically accounted for reduced persistence after depletion. Together, results indicate people believe that self-regulatory endeavors last overly long, a belief that may result in abandonment of further self-control. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于RFID中间件技术的第三方移动支付模式研究

随着移动电话的迅速普及,移动支付模式应运而生.鉴于目前移动支付流程中所面临的信用缺失问题,提出了第三方移动支付的思想,同时结合RFID (Radio Frequency Identification)技术,设计了一种基于RFID中间件移动支付的体系结构,并对该体系结构下数据交易的安全性作了相应分析.     

Micro-persistence and difficulty in a game-based learning environment for computational thinking acquisition

Persistence has been identified as a crucial quality of learning. However, it is hard to attain in online game-based environments as the drive to progress in the game may influence the ability to achieve the learning goals. This study aimed to examine the associations between micro-persistence, that is, the tendency to complete an individual task successfully, and task difficulty while acquiring computational thinking (CT). We further explored whether contextual or personal attributes better explain micro-persistence. We analysed data of 111 school students who used the CodeMonkey platform. We took a learning analytics approach for analysing the platform's log files. We found that micro-persistence is associated with task difficulty and that students who demonstrated an aptitude to learn new material are motivated to achieve the best solution. We also found that contextual variables better-explained micro-persistence than personal attributes. Encouraging micro-persistence can improve CT acquisition and the learning processes involved.