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Multiview attention networks for fine-grained watershed categorization via knowledge distillation.
PLoS One
January 2025
College of Landscape Architecture and Art, Jiangxi Agricultural University, Nanchang, China.
With the rapid development of artificial intelligence technology, an increasing number of village-related modeling problems have been addressed. However, first, the exploration of village-related watershed fine-grained classification problems, particularly the multi-view watershed fine-grained classification problem, has been hindered by dataset collection limitations; Second, village-related modeling networks typically employ convolutional modules for attentional modeling to extract salient features, yet they lack global attentional feature modeling capabilities; Lastly, the extensive number of parameters and significant computational demands render village-related watershed fine-grained classification networks infeasible for end-device deployment. To tackle these challenges, we introduce a multi-view attention mechanism designed for precise watershed classification, leveraging knowledge distillation techniques, abbreviated as MANet-KD.
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Stroke
January 2025
Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, Korea. (K.-D.S.).
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Department of Aeronautical & Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
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View Article and Find Full Text PDFPromoter engineering with programmable upstream activating sequences in Aspergillus Niger cell factory.
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Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.
Background: Aspergillus niger is an important industrial filamentous fungus used to produce organic acids and enzymes. A wide dynamic range of promoters, particularly strong promoters, are required for fine-tuning the regulation of gene expression to balance metabolic flux and achieve the high yields of desired products. However, the limited understanding of promoter architectures and activities restricts the efficient transcription regulation of targets in strain engineering in A.
View Article and Find Full Text PDFDynamic Reconstruction of Fluid Interface Manipulated by Fluid Balancing Agent for Scalable Efficient Perovskite Solar Cells.
Adv Mater
January 2025
Institute for Advanced Materials & Guangdong Provincial Key Laboratory of Optical Information Materials and Technology, South China Academy of Advanced Optoelectronics, South China Normal University, Guangzhou, 510006, China.
Laboratory-scale spin-coating techniques are widely employed for fabricating small-size, high-efficiency perovskite solar cells. However, achieving large-area, high-uniformity perovskite films and thus high-efficiency solar cell devices remain challenging due to the complex fluid dynamics and drying behaviors of perovskite precursor solutions during large-area fabrication processes. In this work, a high-quality, pinhole-free, large-area FAPbI perovskite film is successfully obtained via scalable blade-coating technology, assisted by a novel bidirectional Marangoni convection strategy.
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