FOLIAGE EFFICIENCY OF FOREST-FORMING SPECIES IN THE CLIMATIC GRADIENTS OF EURASIA


Distinct brain morphometry patterns revealed by deep learning improve prediction of post-stroke aphasia severity

Abstract Background Emerging evidence suggests that post-stroke aphasia severity depends on the integrity of the brain beyond the lesion.While measures of lesion anatomy and brain integrity combine synergistically to explain aphasic symptoms, substantial interindividual variability remains unaccounted.One explanatory factor may be the spatial distr

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Historical development of epistemology and the study of pain: Place of neuromodulation of electroacupuncture in the experimental pain research

Despite the diffusion of acupuncture and its related techniques in Cuba and the World, its mechanism of action is still controversial, being considered by the most sceptics as placebo or some kind oriental myth, and it only should by related to this subjects as a matter of cultural-historical elements and not to science.The FLOR-ESSENCE purpose of

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Host Cell Entry of Powdery Mildew Is Correlated with Endosomal Transport of Antagonistically Acting VvPEN1 and VvMLO to the Papilla

Challenge by a nonadapted powdery mildew fungal pathogen leads to the formation of a local cell-wall apposition (papilla) beneath the point of attempted penetration.Several plasma membrane (PM) proteins with opposing roles in powdery mildew infection, including Arabidopsis thaliana PENETRATION1 (PEN1) and barley (Hordeum vulgare) MILDEW RESISTANCE

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Graph Adaptive Attention Network with Cross-Entropy

Non-Euclidean data, such as social networks and citation relationships between documents, have node and structural information.The Graph Convolutional Network (GCN) can automatically learn node features and association information between nodes.The core ideology of the Graph Convolutional Network is to aggregate node information by using edge infor

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