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Weighted Echo State Graph Neural Networks Based on Robust and Epitaxial Film Memristors.
Adv Sci (Weinh)
January 2025
College of Physics Science & Technology, School of Life Sciences, Institute of Life Science and Green Development, Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei Province, Hebei University, Baoding, 071002, China.
Hardware system customized toward the demands of graph neural network learning would promote efficiency and strong temporal processing for graph-structured data. However, most amorphous/polycrystalline oxides-based memristors commonly have unstable conductance regulation due to random growth of conductive filaments. And graph neural networks based on robust and epitaxial film memristors can especially improve energy efficiency due to their high endurance and ultra-low power consumption.
View Article and Find Full Text PDFUnifying topological structure and self-attention mechanism for node classification in directed networks.
Sci Rep
January 2025
College of Computer and Information Engineering, Nanjing Tech University, Nanjing, 211800, China.
Graph data is essential for modeling complex relationships among entities. Graph Neural Networks (GNNs) have demonstrated effectiveness in processing low-order undirected graph data; however, in complex directed graphs, relationships between nodes extend beyond first-order connections and encompass higher-order relationships. Additionally, the asymmetry introduced by edge directionality further complicates node interactions, presenting greater challenges for extracting node information.
View Article and Find Full Text PDFStress-induced self-assembly of hierarchically twisted stripe arrays.
Sci Bull (Beijing)
December 2024
Department of Chemistry, Laboratory of Advance Materials, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, State Key Laboratory of Molecular Engineering of Polymers, and iChEM, Fudan University, Shanghai 200433, China. Electronic address:
Hierarchical organization is prevalent in nature, yet the artificial construction of hierarchical materials featuring asymmetric structures remains a big challenge. Herein, we report a stress-induced self-assembly strategy for the synthesis of hierarchically twisted stripe arrays (HTSAs) with mesoporous structures. A soft and thin mesostructured film assembled by micelles and TiO oligomers is the prerequisite.
View Article and Find Full Text PDFData and AI-driven synthetic binding protein discovery.
Trends Pharmacol Sci
January 2025
School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China; Western (Chongqing) Collaborative Innovation Center for Intelligent Diagnostics and Digital Medicine, Chongqing National Biomedicine Industry Park, Chongqing 401329, China. Electronic address:
Synthetic binding proteins (SBPs) are a class of protein binders that are artificially created and do not exist naturally. Their broad applications in tackling challenges of research, diagnostics, and therapeutics have garnered significant interest. Traditional protein engineering is pivotal to the discovery of SBPs.
View Article and Find Full Text PDFSon of a beach: Coastal development and the loss of natural beaches over time (1919 to 2018) on Okinawa Island, southern Japan.
Mar Pollut Bull
January 2025
Molecular Invertebrate Systematics and Ecology Laboratory, Faculty of Science, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan; Tropical Biosphere Research Center, University of the Ryukyus, 1 Senbaru, Nishihara, Okinawa 903-0213, Japan. Electronic address:
The coastline of Okinawa Island, Japan, has been affected by human-made alterations for decades, often from land reclamation and coastal defense construction. Here, we use an Imperial Japanese Army map made between 1919 and 1921 to describe the composition of the Okinawan coastline approximately 100 years ago, and by overlapping this old map with a modern-day map of Okinawa (2018), we identified 131 sites where coastlines showed clear human-made alterations. For these sites, we examined what kinds of ecosystems were lost and what has replaced them.
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