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1.
Patrycja Kaczara Kamil Przyborowski Tasnim Mohaissen Stefan Chlopicki 《International journal of molecular sciences》2021,22(7)
Carbon monoxide (CO)—gaseous or released by CO-RMs—both possess antiplatelet properties; however, it remains uncertain whether the mechanisms involved are the same. Here, we characterise the involvement of soluble guanylate cyclase (sGC) in the effects of CO—delivered by gaseous CO–saturated buffer (COG) and generated by CORM-A1—on platelet aggregation and energy metabolism, as well as on vasodilatation in aorta, using light transmission aggregometry, Seahorse XFe technique, and wire myography, respectively. ODQ completely prevented the inhibitory effect of COG on platelet aggregation, but did not modify antiplatelet effect of CORM-A1. In turn, COG did not affect, whereas CORM-A1 substantially inhibited energy metabolism in platelets. Even though activation of sGC by BAY 41-2272 or BAY 58-2667 inhibited significantly platelet aggregation, their effects on energy metabolism in platelets were absent or weak and could not contribute to antiplatelet effects of sGC activation. In contrast, vasodilatation of murine aortic rings, induced either by COG or CORM-A1, was dependent on sGC. We conclude that the source (COG vs. CORM-A1) and kinetics (rapid vs. slow) of CO delivery represent key determinants of the mechanism of antiplatelet action of CO, involving either impairment of energy metabolism or activation of sGG. 相似文献
2.
Sobha Karuthedom George Lucia Laukov Ren Weiss Vladislav Semak Birgit Fendl Victor U. Weiss Stephanie Steinberger Günter Allmaier Carla Tripisciano Viktoria Weber 《International journal of molecular sciences》2021,22(8)
Growing interest in extracellular vesicles (EVs) has prompted the advancements of protocols for improved EV characterization. As a high-throughput, multi-parameter, and single particle technique, flow cytometry is widely used for EV characterization. The comparison of data on EV concentration, however, is hindered by the lack of standardization between different protocols and instruments. Here, we quantified EV counts of platelet-derived EVs, using two flow cytometers (Gallios and CytoFLEX LX) and nanoparticle tracking analysis (NTA). Phosphatidylserine-exposing EVs were identified by labelling with lactadherin (LA). Calibration with silica-based fluorescent beads showed detection limits of 300 nm and 150 nm for Gallios and CytoFLEX LX, respectively. Accordingly, CytoFLEX LX yielded 40-fold higher EV counts and 13-fold higher counts of LA+CD41+ EVs compared to Gallios. NTA in fluorescence mode (F-NTA) demonstrated that only 9.5% of all vesicles detected in scatter mode exposed phosphatidylserine, resulting in good agreement of LA+ EVs for CytoFLEX LX and F-NTA. Since certain functional characteristics, such as the exposure of pro-coagulant phosphatidylserine, are not equally displayed across the entire EV size range, our study highlights the necessity of indicating the size range of EVs detected with a given approach along with the EV concentration to support the comparability between different studies. 相似文献
3.
This work describes the procedure used to define the measurement uncertainties of horizontal two-phase air-water flow experiments conducted to determine influences due to pipe diameter on pressure gradient on such flows. These experiments were performed with 4 different pipe diameters, always using the same test section length, therefore varying the length-to-diameter (L/D) ratio. Several parameters were measured, such as volumetric/mass flow rate, pressures, temperatures and pressure drop; other parameters were calculated, such as the superficial velocities of each fluid, as well as their corresponding properties. The main parameters studied were the flow patterns for different velocity configurations and the two-phase pressure drop to be used for model improvement, thus the importance of uncertainties analysis. The sources of uncertainty were defined, detailed, systematically studied and quantified. Also, the reproducibility capacity of the experimental setups were analysed through the uncertainty analysis and proving them to be able for future similar studies. The flow maps with their uncertainties could help understand the thresholds for each defined flow pattern region, and the plots of two-phase pressure drop variation with diameter confirmed the homogeneous model as a possible approach to calculate pressure drop if the uncertainties are considered. 相似文献
4.
为提高压电泵的输出性能,设计了一种新型轴向出流的单腔有阀压电泵。泵体结构主要由3部分构成,即固定压电振子的上盖、带有腔体结构和被动截止阀的中间体及起压紧和密封作用的下盖。轴向出流的单腔压电泵的结构是将进口阀安装在圆柱形腔体的中心位置,保证进口管的轴线与压电振子垂直,出口阀安装在泵腔外,通过导流槽与泵腔连接,形成轴向进出流方式。将轴向出流的单腔压电泵和早期设计的侧向出流压电泵进行输出性能测试,试验发现,在低频工作阶段,侧向出流的单腔压电泵输出效果要略高于轴向出流,在高频工作阶段,后者要高于前者,而在整个40~400 Hz测试范围内,后者输出的液体压力都要高于前者。 相似文献
5.
考虑可再生能源出力、电力负荷和电价等一系列不确定性因素,提出了高比例可再生能源渗透下的多虚拟电厂日内两阶段优化调度模型。该模型通过对多虚拟电厂中运行设备小时级时间尺度和分钟级时间尺度的协调优化,达到分级消除系统中随机和扰动因素的影响,实现高比例可再生能源的安全消纳。并且在多虚拟电厂优化调度模型中,借助Markowitz均值-方差理论,提出利润函数的风险刻画,准确描述不确定性的影响。最后,通过算例分析,说明所提出模型可有效降低决策风险和不确定性因素的影响。 相似文献
6.
智能软开关(SOP)可控制潮流、提供无功补偿,进而改善配电网电压、降低网损。因此,针对可再生能源大规模接入配电网后电能质量下降问题,采用K-means算法构建风-光典型场景,同时建立了基于SOP、可投切电容器的含高渗透率分布式电源的主动配电网优化运行模型。该模型以电压偏差、系统网损最小以及系统运行成本最低为目标,综合考虑了能源利用率及系统运行稳定性。最后利用基于参考点的非支配排序方法的多目标优化算法(NSGA-III)进行求解,输出Pareto最优解集,并采用改进的IEEE 33节点系统对所建立模型的有效性进行了验证。 相似文献
7.
本文提出将单向悬浮交错Boost变换器扩展到双向工作模式,得到可用于储能系统的悬浮交错双向DC/DC变换器FIBDC(floating interleaved bi-directional converter)。详细分析了该变换器在双向模式下的工作过程,推导出电压增益、功率器件承受的电压应力以及电流纹波表达式,采用共同占空比交错控制策略实现了工作电压稳定和内部子单元平衡。最后通过仿真和实验对该变换器的性能及控制策略进行验证。该变换器具有输入输出电流纹波小、电压增益高、开关管应力低以及可多相扩展等优点,适用于高压大功率场合。 相似文献
8.
旨在确定全钒液流电池(VRB)储能系统(ESS)的最佳配置,以应对主动配电网(ADN)中风力发电的集成。相应地,提出了一种考虑储能的动态效率和寿命的电池储能系统优化配置方法。与以前的研究不同,所提出的储能优化配置方法中考虑了VRB的动态效率和寿命。此外,该方法综合考虑了风电消纳、减少负荷中断、减少温室气体排放、网损、VRB ESS的投资成本等综合收益,以经济指标用于评估VRB ESS的渗透率,设计的VRB ESS可以使得ADN的经济性达到最佳。最后,通过改进的IEEE 33节点系统对提出的电池储能系统优化配置方法进行了验证。测试结果证明了所提方法的正确性并分析了主动配电网的潮流运行特性。 相似文献
9.
Shraddha Parate Vikas Kumar Danishuddin Jong Chan Hong Keun Woo Lee 《International journal of molecular sciences》2021,22(10)
Heparanase (Hpse) is an endo-β-D-glucuronidase capable of cleaving heparan sulfate side chains. Its upregulated expression is implicated in tumor growth, metastasis and angiogenesis, thus making it an attractive target in cancer therapeutics. Currently, a few small molecule inhibitors have been reported to inhibit Hpse, with promising oral administration and pharmacokinetic (PK) properties. In the present study, a ligand-based pharmacophore model was generated from a dataset of well-known active small molecule Hpse inhibitors which were observed to display favorable PK properties. The compounds from the InterBioScreen database of natural (69,034) and synthetic (195,469) molecules were first filtered for their drug-likeness and the pharmacophore model was used to screen the drug-like database. The compounds acquired from screening were subjected to molecular docking with Heparanase, where two molecules used in pharmacophore generation were used as reference. From the docking analysis, 33 compounds displayed higher docking scores than the reference and favorable interactions with the catalytic residues. Complex interactions were further evaluated by molecular dynamics simulations to assess their stability over a period of 50 ns. Furthermore, the binding free energies of the 33 compounds revealed 2 natural and 2 synthetic compounds, with better binding affinities than reference molecules, and were, therefore, deemed as hits. The hit compounds presented from this in silico investigation could act as potent Heparanase inhibitors and further serve as lead scaffolds to develop compounds targeting Heparanase upregulation in cancer. 相似文献
10.