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11.
Sheila A. Anderson Christopher P. Nizzi Yuan-I. Chang Kathryn M. Deck Paul J. Schmidt Bruno Galy Alisa Damnernsawad Aimee T. Broman Christina Kendziorski Matthias W. Hentze Mark D. Fleming Jing Zhang Richard S. Eisenstein 《Cell metabolism》2013,17(2):282-290
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Mahnaz Mohammadi Jessica Cooper Ognjen Arandelovi Christina Fell David Morrison Sheeba Syed Prakash Konanahalli Sarah Bell Gareth Bryson David J Harrison David Harris-Birtill 《Experimental biology and medicine (Maywood, N.J.)》2022,247(22):2025
Fully supervised learning for whole slide image–based diagnostic tasks in histopathology is problematic due to the requirement for costly and time-consuming manual annotation by experts. Weakly supervised learning that utilizes only slide-level labels during training is becoming more widespread as it relieves this burden, but has not yet been applied to endometrial whole slide images, in iSyntax format. In this work, we apply a weakly supervised learning algorithm to a real-world dataset of this type for the first time, with over 85% validation accuracy and over 87% test accuracy. We then employ interpretability methods including attention heatmapping, feature visualization, and a novel end-to-end saliency-mapping approach to identify distinct morphologies learned by the model and build an understanding of its behavior. These interpretability methods, alongside consultation with expert pathologists, allow us to make comparisons between machine-learned knowledge and consensus in the field. This work contributes to the state of the art by demonstrating a robust practical application of weakly supervised learning on a real-world digital pathology dataset and shows the importance of fine-grained interpretability to support understanding and evaluation of model performance in this high-stakes use case. 相似文献
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Qiaohan Yang Guangyu Zhou Torben Noto Jessica W. Templer Stephan U. Schuele Joshua M. Rosenow Gregory Lane Christina Zelano 《PLoS biology》2022,20(1)
Studies of neuronal oscillations have contributed substantial insight into the mechanisms of visual, auditory, and somatosensory perception. However, progress in such research in the human olfactory system has lagged behind. As a result, the electrophysiological properties of the human olfactory system are poorly understood, and, in particular, whether stimulus-driven high-frequency oscillations play a role in odor processing is unknown. Here, we used direct intracranial recordings from human piriform cortex during an odor identification task to show that 3 key oscillatory rhythms are an integral part of the human olfactory cortical response to smell: Odor induces theta, beta, and gamma rhythms in human piriform cortex. We further show that these rhythms have distinct relationships with perceptual behavior. Odor-elicited gamma oscillations occur only during trials in which the odor is accurately perceived, and features of gamma oscillations predict odor identification accuracy, suggesting that they are critical for odor identity perception in humans. We also found that the amplitude of high-frequency oscillations is organized by the phase of low-frequency signals shortly following sniff onset, only when odor is present. Our findings reinforce previous work on theta oscillations, suggest that gamma oscillations in human piriform cortex are important for perception of odor identity, and constitute a robust identification of the characteristic electrophysiological response to smell in the human brain. Future work will determine whether the distinct oscillations we identified reflect distinct perceptual features of odor stimuli.Intracranial recordings from human olfactory cortex reveal a characteristic spectrotemporal response to odors, including theta, beta and gamma oscillations, and show that high-frequency responses are critical for accurate perception of odors. 相似文献
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Previous far-UV time-resolved optical rotatory dispersion (TRORD) studies of the sub-millisecond (burst) phase of secondary structure formation in horse and tuna cytochromes c after photoreduction in denaturant suggested that the non-native His18-Fe-His33 heme ligation dominant in the unfolded horse protein facilitated this fast folding better than did the His18-Fe-His26 coordination dominant in tuna [Chen, E., Goldbeck, R.A., and Kliger, D.S. (2003) J. Phys. Chem. A 107, 8149-8155; Chen, E., Goldbeck, R.A., and Kliger, D.S. (2004) J. Am. Chem. Soc. 126, 11175-11181]. Whether His18-Fe-His33 coordination actually facilitates fast secondary structure formation or just slows folding less than His18-Fe-His26 coordination is probed by examining the double histidine mutant H26QH33N of horse heart cytochrome c. The fast folding phase is absent in H26QH33N, indicating that His18-Fe-His33 misligation does promote fast secondary structure formation, as does His18-Fe-His26 to a lesser extent. His33 may be better able to facilitate folding because it is not as constrained by hydrogen bonding interactions in the denatured state as is His26. A greater flexibility, not only because of weakened or disrupted Van der Waals interactions in the presence of guanidine hydrochloride (GuHCl) but also because of its position relative to His18, may allow His33 to ligate to the heme group more easily than His26. These results are discussed along with the results of far-UV CD and Soret and visible region MCD measurements, which were performed to probe heme ligation in H26QH33N and to understand how GuHCl affects its folding stability and cooperativity. 相似文献
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Correction: Caldendrin–Jacob: A Protein Liaison That Couples NMDA Receptor Signalling to the Nucleus
Daniela C Dieterich Anna Karpova Marina Mikhaylova Irina Zdobnova Imbritt K?nig Marco Landwehr Martin Kreutz Karl-Heinz Smalla Karin Richter Peter Landgraf Carsten Reissner Tobias M Boeckers Werner Zuschratter Christina Spilker Constanze I Seidenbecher Craig C Garner Eckart D Gundelfinger Michael R Kreutz 《PLoS biology》2009,7(1)