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101.
目的:了解襄城区王府街道办事处两社区65岁以上人群的健康状况,更好地为老年人提供健康服务。方法:对两个社区742名老年人的体检资料进行统计和分析,针对性地采取干预措施。结果:体检项目结果异常的总检出率85.4%,其中男性85.6%、女性85.4%;血压增高占51.5%,血糖增高占26.7%,心电图异常19.1%,血脂异常11.6%,肾功能异常8.9%,肥胖占7.8%,胸透异常3.8%。结论:社区老年人的健康状况不容乐观,应重视对老年人的健康教育,加强对老年人心脑血管慢性病的健康干预,提高其生活质量。  相似文献   
102.
The continued growth of online programs in higher education has resulted in concerns about how institutions monitor the quality of their online programs. These concerns indicate a need for a process by which online programs may be evaluated and compared. They provided the impetus for this study, the goals of which were to identify quality indicators specific to community college online programs and to determine stakeholders' perceived importance of those indicators.

Categories of indicators were identified through a literature review, and these items were used to guide the development of a Delphi study to identify potential indicators. The results of the Delphi study were then used to create a three-part Stakeholder Survey designed to collect input on perceived levels of importance for each potential indicator using the magnitude estimation technique. The Stakeholder Survey was also used to validate the results of the Delphi. To refine the results of the Delphi study and Stakeholder Survey, a final survey was distributed to a group of distance learning experts, identified through their scholarly research and professional activity. The participants were asked to review the earlier results and classify each item as a factor, indicator, or other according to definitions provided.

The three research stages produced a set of potential data sources that a community college may want to pursue when assessing the effectiveness of its online programs and services. Each of the potential sources of data will be reviewed with a goal towards identifying specific indicators that may be used in developing future instruments.  相似文献   
103.
根据2005-2010年能源消费数据及相关经济数据,分析了河北省能源消耗强度的时空变化特征;运用Laspeyres指数及其分解模型将河北省能源消耗强度的影响因素分解为结构因素和效率因素。结果表明:研究期内河北省能源消耗强度稳步下降,但空间差异较大;研究期能源消耗强度降低主要贡献因素是第二产业能源利用效率的提高;相对于效率份额,结构份额对能源消耗强度的影响很小,研究期内产业结构变动对能源消耗强度降低的总体影响是负面的。  相似文献   
104.
Pound’s poem In a Station of a Metro is a masterpiece of imagism. Pound once talked about the energy in language, and American scholar Allen Tate told us that the meaning of poetry is its tension. Base...  相似文献   
105.
针对Adhoc网络中移动节点能量受限的问题,考虑节点剩余能量和节点能量消耗速率两方面因素,对AODV协议,在选路机制,hello机制几个方面作了改进,改进后的路由协议能够有效均衡负载,保护低能量节点,延长网络生存时间。  相似文献   
106.
The electrical power sector must undergo a thorough metamorphosis to achieve the ambitious targets in greenhouse gas reduction set forth in the Paris Agreement of 2015. Reducing uncertainty about demand and, in case of renewable electricity generation, supply is important for the determination of spot electricity prices. In this work we propose and evaluate a context-based technique to anticipate the electricity production and consumption in buildings. We focus on a household with photovoltaics and energy storage system. We analyze the efficiency of Markov chains, stride predictors and also their combination into a hybrid predictor in modelling the evolution of electricity production and consumption. All these methods anticipate electric power based on previous values. The main goal is to determine the best method and its optimal configuration which can be integrated into a (possibly hardware-based) intelligent energy management system. The role of such a system is to adjust and synchronize through prediction the electricity consumption and production in order to increase self-consumption, reducing thus the pressure over the power grid. The experiments performed on datasets collected from a real system show that the best evaluated predictor is the Markov chain configured with an electric power history of 100 values, a context of one electric power value and the interval size of 1.  相似文献   
107.
陈星  张星  肖泉 《现代情报》2019,39(11):55-68
[目的/意义] 近些年来,在线健康社区变得越来越流行。然而,较少社区能成功地维持用户并激励他们持续的分享知识。本文将社会支持理论和承诺-信任理论结合起来,构建一个集成模型来研究在线健康社区用户的持续知识分享意愿的影响因素。[方法/过程] 根据获得的475份有效调查问卷,本文使用SPSS20.0和AMOS20.0检验所提出的假设。[结果/结论] 研究发现,信息支持、情感支持对满意度和信任均有显著影响,网络支持仅对满意度有显著影响。此外,满意度和信任除了对持续知识分享意愿有直接正向影响外,还通过关系承诺的中介,有间接的作用。研究有助于深化对知识分享行为的认识以及帮助在线健康社区的管理者更好地维系用户。  相似文献   
108.
ABSTRACT

We compared cardiometabolic demand and post-exercise enjoyment between continuous walking (CW) and time- and intensity-matched interval walking (IW) in insufficiently active adults. Sixteen individuals (13 females and three males, age 25.3 ± 11.1 years) completed one CW and one IW session lasting 30 min in a randomised-counterbalanced design. For CW, participants walked at a mean intensity of 65–70% predicted maximum heart rate (HRmax). For IW, participants alternated between 3 min at 80% HRmax and 2 min at 50% HRmax. Expired gas was measured throughout each protocol. Participants rated post-exercise enjoyment following each protocol. Mean HR and V˙O2 showed small positive differences in IW vs. CW (2, 95%CL 0, 4 beat.min?1; d = 0.23, 95%CL 0.06, 0.41 and 1.4, 95%CL 1.2 ml.kg?1.min?1, d = 0.36, 95%CL 0.05, 0.65, respectively). There was a medium positive difference in overall kcal expenditure in IW vs. CW (25, 95%CL 7 kcal, d = 0.58, 95%CL 0.33, 0.82). Post-exercise enjoyment was moderately greater following IW vs. CW (9.1, 95%CL 1.4, 16.8 AU, d = 0.62, 95%CL 0.06, 0.90), with 75% of participants reporting IW as more enjoyable. Interval walking elicits meaningfully greater energy expenditure and is more enjoyable than CW in insufficiently active, healthy adults.  相似文献   
109.
Energy efficiency of public sector is an important issue in the context of smart cities due to the fact that buildings are the largest energy consumers, especially public buildings such as educational, health, government and other public institutions that have a large usage frequency. However, recent developments of machine learning within Big Data environment have not been exploited enough in this domain. This paper aims to answer the question of how to incorporate Big Data platform and machine learning into an intelligent system for managing energy efficiency of public sector as a substantial part of the smart city concept. Deep neural networks, Rpart regression tree and Random forest with variable reduction procedures were used to create prediction models of specific energy consumption of Croatian public sector buildings. The most accurate model was produced by Random forest method, and a comparison of important predictors extracted by all three methods has been conducted. The models could be implemented in the suggested intelligent system named MERIDA which integrates Big Data collection and predictive models of energy consumption for each energy source in public buildings, and enables their synergy into a managing platform for improving energy efficiency of the public sector within Big Data environment. The paper also discusses technological requirements for developing such a platform that could be used by public administration to plan reconstruction measures of public buildings, to reduce energy consumption and cost, as well as to connect such smart public buildings as part of smart cities. Such digital transformation of energy management can increase energy efficiency of public administration, its higher quality of service and healthier environment.  相似文献   
110.
This national study of US counties (n = 2963) investigated whether county-level drug overdose mortality is associated with maltreatment report rates, and whether the relationship between overdose mortality and maltreatment reports is moderated by a county’s rural, non-metro or metro status. Data included county-level 2015 maltreatment reports from the National Child Abuse and Neglect Data System, modeled drug-overdose mortality from the Centers for Disease Control, United States Department of Agriculture Rural-Urban Continuum Codes, US Census demographic data and crime reports from the Federal Bureau of Investigation. All data were linked across counties. Zero-inflated negative binomial (ZINB) regression was used for county-level analysis. As hypothesized, results from the ZINB model showed a significant and positive relationship between drug overdose mortality and child maltreatment report rates (χ = 101.26, p < .0001). This relationship was moderated by position on the rural-urban continuum (χ=8.76, p = .01). For metro counties, there was a 1.9% increase in maltreatment report rate for each additional increment of overdose deaths (IRR=1.019, CI=[1.010, 1.028]). For non-metro counties, the rate of increase was 1.8% higher than for metro counties (IRR=1.018, CI=[1.006, 1.030]); for rural counties, the rate of increase was 1.2% higher than for metro counties (IRR=1.012, CI=[0.999, 1.026]). Additional research is needed to determine why the relationship between drug overdose mortality and maltreatment reports is stronger in non-metro and rural communities. One potential driver requiring additional inquiry is that access to mental and physical health care and substance use treatment may be more limited outside of metropolitan counties.  相似文献   
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