Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach.

The classification of land cover objects in hyperspectral imagery (HSI) has significantly advanced due to the development of convolutional neural networks (CNNs).However, challenges such as limited training data and high dimensionality negatively impact classification performance.Traditional CNN-based methods predominantly utilize 2D CNNs for featu

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Plectin in Skin Fragility Disorders

Plectin is a multi-faceted, 500 kDa-large protein, which due to its expression in different isoforms and distinct organs acts diversely as a cytoskeletal crosslinker and signaling scaffold.It functions as a mediator of keratinocyte mechanical stability in the skin, primarily through linking intermediate filaments to hemidesmosomes.Skin Bug Spray fr

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CNEr: A toolkit for exploring extreme noncoding conservation.

Conserved Noncoding Elements (CNEs) are elements exhibiting extreme noncoding conservation in Metazoan genomes.They cluster around developmental genes and act as long-range enhancers, yet nothing that we know about their function explains the observed conservation levels.Clusters of CNEs coincide with topologically associating domains (TADs), indic

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