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101.
目的:基于网络药理学与分子对接技术探讨青蛇方外用治疗湿疹的作用机制。方法:应用TCMSP和UniProt数据库平台查询青蛇方组方的有效活性成分及靶基因,与疾病靶基因取交集后构建蛋白质-蛋白质相互作用(PPI)网络;应用DAVID数据库,对潜在核心作用靶点基因进行基因本体(GO)功能、京都基因与基因组百科全书(KEGG)通路富集分析。利用分子对接原理论证青蛇方生物活性成分与核心靶点的分子结合能力。结果:筛选出青蛇方有效成分63种,作用靶点99个;主要有β-谷甾醇、2,4,7-三羟基-9,10-二氢菲、靛蓝素、豆甾醇、色氨酸等关键成分;转录因子AP-1(JUN)、肿瘤坏死因子(TNF)、原癌基因(RELA)、干扰素γ(IFNG)、转化生长因子-β1(TGF-β1)等核心基因。关键信号通路有癌症信号通路、恰加斯病通路、弓形体病通路、脂质和动脉粥样硬化通路等,分子对接结果显示活性成分与核心靶点基因结合能力较强。结论:青蛇方外用可以通过多种活性成分、多种通路有效抑制免疫炎症反应,促进免疫系统正常运行,从而达到治疗湿疹的目的。 相似文献
102.
为了研究福建省有效致灾雷电的分布情况,基于福建省2004—2012年闪电定位数据及雷击人员伤亡数据、福建省L17级谷歌遥感影像瓦片,引入卷积神经网络模型对遥感影像所在区域是否属于人员活动的属性进行建模、训练和预测,得到福建省人员活动属性的格点产品,结合福建省历史雷电数据对有效致灾的雷电分布情况进行了分析,结果表明:①设计的遥感影像+CNN识别模型具有一定的可行性和准确率,通过显著性水平为0.01的假设检验;②福建省有63.55%的格点为无人员活动区域;③平均有45.36%的闪电落在无人员活动的区域,因地制宜地对其他致灾闪电进行预警是提高应急减灾服务效果的可行途径;④有效致灾雷电密度与历史雷击人员伤亡数据的相关性远大于常规雷电密度与历史雷击人员伤亡数据的相关性,有效致灾雷电分布在表征雷电灾害上比常规雷电分布更具有指示意义。 相似文献
103.
N. Kosheleva E. Karabanov A. Kositskiy D. Williams S. Armstrong 《Journal of Geochemical Exploration》2006,88(1-3):118
A channel account approach is proposed to estimate longitudinal changes in runoff along large river systems. This new method provides a quantitative basis for describing the fluvial transport of suspended particulate material and dissolved substances. This method includes an evaluation of basic elements of water balance in separate sections of the river network and subsequent correction of channel accounting equations for the entire system using a maximum likelihood principle. To calculate water discharges of tributaries that have no hydrological information, structural analysis of river network is performed. This approach provides less error in comparison with traditional methods of estimating lateral inflow. The method is used to trace water discharge with increasing distance along the Lena river basin and to evaluate the contribution of geologically and lithologically uneven sub-basins in water discharge formation during a summer low water period. 相似文献
104.
Estimating concentrations or flow rates along a stream network requires specific models. Two classes of models, recently proposed in the literature, are generalized, to the intrinsic case in particular. We present a global construction by ‘streams’, i.e. on the whole set of paths between sources and outlet. Combining stationary or intrinsic one-dimensional random functions leads to stationary or intrinsic models on segments, with discontinuities at the forks. A construction from outlet to sources, leads to stationary or intrinsic models on each stream, without any discontinuity at the forks. The linear variogram is found as a particular case. The extension to the linear model of coregionalization is immediate, allowing a multivariate modelling of concentrations. To cite this article: C. de Fouquet, C. Bernard-Michel, C. R. Geoscience 338 (2006). 相似文献
105.
106.
Debris flows have caused serious loss of human lives and a lot of damage to properties in Taiwan over the past decades. Moreover, debris flows have brought massive mud causing water pollution in reservoirs and resulted in water shortage for daily life locally and affected agricultural irrigation and industrial usages seriously. A number of methods for prediction of debris flows have been studied. However, the successful prediction ratio of debris flows cannot always maintain a stable and reliable level. The objective of this study is to present a stable and reliable analytical model for occurrence predictions of debris flows. This study proposes an Artificial Neural Networks (ANN) model that was constructed by seven significant factors using back-propagation (BP) algorithm. These seven factors include (1) length of creek, (2) average slope, (3) effective watershed area, (4) shape coefficient, (5) median size of soil grain, (6) effective cumulative rainfall, and (7) effective rainfall intensity. A total of 178 potential cases of debris flows collected in eastern Taiwan were fed into the ANN model for training and testing. The average ratio of successful prediction reaching 93.82% demonstrates that the presented ANN model with seven significant factors can provide a stable and reliable result for the prediction of debris flows in hazard mitigation and guarding systems. 相似文献
107.
The stochastic nature of the cyclic swelling behavior of mudrock and its dependence on a large number of interdependent parameters was modeled using Time Delay Neural Networks (TDNNs). This method has facilitated predicting cyclic swelling pressure with an acceptable level of accuracy where developing a general mathematical model is almost impossible. A number of total pressure cells between shotcrete and concrete walls of the powerhouse cavern at Masjed–Soleiman Hydroelectric Powerhouse Project, South of Iran, where mudrock outcrops, confirmed a cyclic swelling pressure on the lining since 1999. In several locations, small cracks are generated which has raised doubts about long term stability of the powerhouse structure. This necessitated a study for predicting future swelling pressure. Considering the complexity of the interdependent parameters in this problem, TDNNs proved to be a powerful tool. The results of this modeling are presented in this paper. 相似文献
108.
The hydrogeological effectiveness of fracture sets is determined and evaluated by the fuzzy c-mean and hierarchical clustering.
These cluster analyses combine the geological spatial attributes and the hydraulic relevant attributes of fractures. Based
on the results of the clustering the fracture set volumes are estimated. 相似文献
109.
概述了深空测控网的基本技术要求,总结了我国卫星测控网和国内现有射电观测设施的技术、组成和分布,分析和论述了将我国现有的测控设施建设成深空测控网的具体方案。 相似文献
110.
层次化网络SCADA通讯模型及其应用 总被引:1,自引:1,他引:1
陈志文 《物探化探计算技术》2005,27(4):354-357
为在大型网络分布式SCADA(Super Control and Data Acquisition)应用系统中解决诸如电力、通信、石油、化工、制造业等行业或领域,在过程、流程、状态方面的数据监视、数据控制、数据采集与数据管理的高效、实时问题,解决各级子系统之间人工逐级汇接的问题,提高应用系统的稳定性、可维护性,这里提出了一种层次化网络SCADA通讯模型。该模型是通过在层次化网络SCADA模型中,引入基于TCP/IP协议的客户机/服务器查询方式数据通讯技术和点对点主动数据传递技术而建立的。根据该模型所设计的产品,经过生产实践证明,应用该模型可以较方便地构造分布在不同区域计算机上的SCADA系统,进行高效的实时通信。该模型为具有多层结构的大型分布式网络化集中SCADA系统的设计、开发,探索出了一条十分有效的新路径。 相似文献