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1.
We have used Escherichia coli B/r to test the proposal that hydroxyl radicals (.OH) are major contributors to lethal damage when bacteria in equilibrium with air or 100% nitrogen are exposed to ionizing radiation. In addition, we have tested the hypothesis that oxygen sensitizes bacterial cells to radiation by reacting at radical sites previously formed by reactions of .OH. Our results with B/r indicate that the involvement of OH radicals in damage may have been overestimated. We believe that simple .OH removal provides B/r with only a relatively small amount of protection in N2 and air. Although some .OH scavengers can have large protective effects in air, evidence supports the tentative conclusion that these effects are not based on simple .OH removal. If this conclusion is correct, then radiation sensitization by oxygen--at least of this bacterial strain--would be unrelated to reactions of .OH. 相似文献
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Szoszkiewicz Krzysztof Jusik Szymon Lewin Iga Czerniawska-Kusza Izabela Kupiec Jerzy Mirosław Szostak Marta 《Hydrobiologia》2018,808(1):327-342
Hydrobiologia - The aim of the study was to compare the patterns of development of macrophytes and macroinvertebrates in different types of reference mountain rivers. The study is based on... 相似文献
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Cioch-Skoneczny Monika Satora Paweł Skoneczny Szymon Skotniczny Magdalena 《Archives of microbiology》2021,203(1):153-162
Archives of Microbiology - Biodiversity of native yeasts, especially in winemaking, has hidden potential. In order to use the value of non-Saccharomyces strains in wine production and to minimise... 相似文献
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Szymon ??ski Henrik Lindén Tom Tetzlaff Klas H. Pettersen Gaute T. Einevoll 《PLoS computational biology》2013,9(7)
Despite its century-old use, the interpretation of local field potentials (LFPs), the low-frequency part of electrical signals recorded in the brain, is still debated. In cortex the LFP appears to mainly stem from transmembrane neuronal currents following synaptic input, and obvious questions regarding the ‘locality’ of the LFP are: What is the size of the signal-generating region, i.e., the spatial reach, around a recording contact? How far does the LFP signal extend outside a synaptically activated neuronal population? And how do the answers depend on the temporal frequency of the LFP signal? Experimental inquiries have given conflicting results, and we here pursue a modeling approach based on a well-established biophysical forward-modeling scheme incorporating detailed reconstructed neuronal morphologies in precise calculations of population LFPs including thousands of neurons. The two key factors determining the frequency dependence of LFP are the spatial decay of the single-neuron LFP contribution and the conversion of synaptic input correlations into correlations between single-neuron LFP contributions. Both factors are seen to give low-pass filtering of the LFP signal power. For uncorrelated input only the first factor is relevant, and here a modest reduction (<50%) in the spatial reach is observed for higher frequencies (>100 Hz) compared to the near-DC () value of about . Much larger frequency-dependent effects are seen when populations of pyramidal neurons receive correlated and spatially asymmetric inputs: the low-frequency () LFP power can here be an order of magnitude or more larger than at 60 Hz. Moreover, the low-frequency LFP components have larger spatial reach and extend further outside the active population than high-frequency components. Further, the spatial LFP profiles for such populations typically span the full vertical extent of the dendrites of neurons in the population. Our numerical findings are backed up by an intuitive simplified model for the generation of population LFP. 相似文献
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Lukáš Kubala Hana Kolářová Jan Víteček Silvie Kremserová Anna Klinke Denise Lau Anna L.P. Chapman Stephan Baldus Jason P. Eiserich 《Biochimica et Biophysica Acta (BBA)/General Subjects》2013
Background
Myeloperoxidase (MPO) is an abundant hemoprotein expressed by neutrophil granulocytes that is recognized to play an important role in the development of vascular diseases. Upon degranulation from circulating neutrophil granulocytes, MPO binds to the surface of endothelial cells in an electrostatic-dependent manner and undergoes transcytotic migration to the underlying extracellular matrix (ECM). However, the mechanisms governing the binding of MPO to subendothelial ECM proteins, and whether this binding modulates its enzymatic functions are not well understood.Methods
We investigated MPO binding to ECM derived from aortic endothelial cells, aortic smooth muscle cells, and fibroblasts, and to purified ECM proteins, and the modulation of these associations by glycosaminoglycans. The oxidizing and chlorinating potential of MPO upon binding to ECM proteins was tested.Results
MPO binds to the ECM proteins collagen IV and fibronectin, and this association is enhanced by the pre-incubation of these proteins with glycosaminoglycans. Correspondingly, an excess of glycosaminoglycans in solution during incubation inhibits the binding of MPO to collagen IV and fibronectin. These observations were confirmed with cell-derived ECM. The oxidizing and chlorinating potential of MPO was preserved upon binding to collagen IV and fibronectin; even the potentiation of MPO activity in the presence of collagen IV and fibronectin was observed.Conclusions
Collectively, the data reveal that MPO binds to ECM proteins on the basis of electrostatic interactions, and MPO chlorinating and oxidizing activity is potentiated upon association with these proteins.General significance
Our findings provide new insights into the molecular mechanisms underlying the interaction of MPO with ECM proteins. 相似文献9.
Julio Caballero Szymon Zilocchi William Tiznado Daniela Rossi Simona Collina 《Molecular simulation》2013,39(3):227-235
Sigma-1 (σ1) affinities of methyl 2-(aminomethyl)-1-phenylcyclopropane-1-carboxylate (MAPCC) derivatives were modelled by the genetic algorithm with linear assignment of hypermolecular alignment of datasets (GALAHAD) and the comparative molecular field analysis (CoMFA)/comparative molecular similarity indices analysis (CoMSIA) methods. GALAHAD was used for deriving the 3D pharmacophore pattern that encompasses the most potent σ1 ligands within this series. Five MAPCC derivatives with a high σ1 affinity were used for deriving this model. The obtained model included a nitrogen atom, the hydrophobes and the hydrogen bond acceptor features; it was able to identify other potent σ1 ligands. On the other hand, CoMFA and CoMSIA methods were used for deriving quantitative structure–activity relationship (QSAR) models. All QSAR models were trained with 17 compounds, after which they were evaluated for predictive ability with additional five compounds. The best QSAR model was obtained by using CoMSIA, including steric, electrostatic and hydrophobic fields, and had a good predictive quality according to both internal and external validation criteria. In general, the models described herein provide meaningful information relevant for the rational design of new σ1 ligands. 相似文献
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