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顾江 《常熟理工学院学报》2001,15(2):36-38,42
本文介绍了一种抑制模拟积分器“漂移”现象的改进电路。并对改进后的积分电路(近似积分电路)输出电压进行误差分析。论证了改进电路的合理性,并给出了合理设计电路的有关参数,以使误差控制在允许范围内,这在实验教学中有利于培养学生分析问题和解决问题的能力。 相似文献
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《Communication monographs》2012,79(2):115-132
The propensity to believe information to be predominately truthful has been called the truth-bias (e.g., McCornack & Levine, 1990), although the lie-bias is the tendency to believe that information is mostly false. The purpose of the current study is to investigate the effect that timing of suspicion and outcome involvement has on biased message processing. A two-way interaction between timing of suspicion and outcome involvement is hypothesized. Specifically, suspicion induced prior to communication will make receivers more suspicious of the communicator and therefore encode more of their nonverbal cues as “suspicious” or “fishy.” This effect is predicted to be magnified in conditions of high outcome involvement. If receivers are already suspicious, and carefully scrutinizing the message, it will be likely that they will note more “fishy behaviors” and demonstrate a heightened lie-bias. In two studies, Participants (Ps) were asked to view videotaped segments of a confederate making true or false statements. The Ps were induced to feel suspicious before or after viewing the videotaped interview. They were also induced to perceive high or low levels of outcome involvement. Results of Study 1 indicated that timing of suspicion has little effect on biased processing, but perceived suspicion did influence biased processing. Results of Study 2 indicated that the timing of suspicion did influence the strength of the truth-bias but did not create a lie-bias. Both studies demonstrated the strong effect of perceived outcome involvement on honesty perceptions. 相似文献
315.
《Communication monographs》2012,79(3):248-269
This meta-analysis reviews the findings of 56 studies (n=19,745) examining the associations among family communication patterns (i.e., conversation and conformity orientations) and information-processing, behavioral, and psychosocial outcomes. When both conversation and conformity orientations are considered collectively, the cumulative evidence indicates a small, but meaningful relationship between family communication patterns and overall outcomes (r=.285). Similar overall effect sizes were observed for conversation (r=.262) and conformity orientations (r=.253), though the average effect size for conversation orientation and psychosocial outcomes (r=.460) was greater in magnitude than those obtained for information processing (r=.238) or behavioral outcomes (r=.276). Slightly larger effect sizes were observed when researchers used the Revised Family Communication Patterns scale (r=.332) as compared with the Family Communication Patterns scale (r=.261), though this difference in magnitude was statistically non-significant. Collectively, the results suggest that family communication patterns have a meaningful association with a variety of cognitive activities and relational behaviors, as well as individual well-being. 相似文献
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铁路运输、公路运输、水路运输和航空运输等系统中积累了大量的原始数据信息,为了有效地从这些异地的海量数据信息中抽取知识给无缝运输管理者提供决策支持,结合网格技术和数据挖掘技术提出了一个基于无缝运输信息网格(STIG)的并行数据挖掘方案。该方案的架构包括四层:用户层、挖掘任务分析和管理层、计算层、数据层。该方案的实现主要涉及数据挖掘算法服务的发现、数据分配和大数据源的分布式处理等技术。 相似文献
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《Government Information Quarterly》2022,39(4):101679
In today's global culture where the Internet has established itself as the main tool for communication and commerce, the capability to massively analyze and predict citizens' behavior has become a priority for governments in terms of collective intelligence and security. At the same time, in the context of novel possibilities that artificial intelligence (AI) brings to governments in terms of understanding and developing collective behavior analysis, important concerns related to citizens' privacy have emerged. In order to identify the main uses that governments make of AI and to define citizens' concerns about their privacy, in the present study, we undertook a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques. Based on our results, we classified and discussed the risks to citizens' privacy according to the types of AI strategies used by governments that may affect collective behavior and cause massive behavior modification. Our results revealed 11 uses of AI strategies used by the government to improve their interaction with citizens, organizations in cities, services provided by public institutions or the economy, among other areas. In relation to citizens' privacy when AI is used by governments, we identified 8 topics related to human behavior predictions, intelligence decision making, decision automation, digital surveillance, data privacy law and regulation, and the risk of behavior modification. The paper concludes with a discussion of the development of regulations focused on the ethical design of citizen data collection, where implications for governments are presented aimed at regulating security, ethics, and data privacy. Additionally, we propose a research agenda composed by 16 research questions to be investigated in further research. 相似文献