Results 41 to 50 of about 40,737 (219)
Temporal dynamic convolution neural networks (TDY-CNNs) extract speaker embeddings considering the time-varying characteristics of speech and improve text-independent speaker verification performance.
Seong-Hu Kim, Hyeonuk Nam, Yong-Hwa Park
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CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source
Advanced clear cell renal cell carcinoma metastasis is driven by a FOXC2+ tumor subpopulation. These cells execute vasculogenic mimicry for dissemination and secrete LAMA4. LAMA4 engages macrophage ITGA6, activating the STAT6/GATA3 axis to polarize macrophages into a pro‐metastatic, immunosuppressive phenotype.
Jiaxi Yao +11 more
wiley +1 more source
Convolutional neural network (CNN)-based models are widely used in human movement decoding based on surface electromyography. However, they capture only the spatial information of the surface electromyography and lack prior knowledge of the system ...
Anyuan Zhang +3 more
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This study develops a 3D co‐culture and co‐differentiation system for porcine muscle stem cells (pMuSCs) and mesenchymal stem cells (pMSCs) on edible starch‐based scaffolds. The system simultaneously generates myotubes and adipocytes without using serum or chemical inducers.
Xin Guan +9 more
wiley +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Vanilla is one of the export commodities with a relatively high economic value. One of the problems with vanilla cultivation is the health of vanilla seedlings.
Dwi Erwin Kusbianto +4 more
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Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
The purpose of this research was to observe vanillin retention and color changes during storage of concentrated vanilla extract at the low temperature (10°C), room temperature (30°C), and high temperature (55°C) for 49 days.
Mira Sofyaningsih1)* +2 more
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