Results 211 to 220 of about 284,994 (309)

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

open access: yesAdvanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu   +7 more
wiley   +1 more source

Spatiotemporal Control of Formation of Dynamic Protein Fiber Assemblies via Photophysical Effects of a Focused Laser Beam

open access: yesAdvanced Science, EarlyView.
Tightly focused laser irradiation can accumulate tubulin proteins at/around the laser focus, which leads to the formation of highly ordered microtubule assemblies. The assemblies can exhibit various dynamic behaviors such as radial motion, bundling, and flagella‐like rotation with motor protein and chemical energy, highlighting as a unique tool for ...
Hiroshi Y. Yoshikawa   +16 more
wiley   +1 more source

Reprogramming the Immune Landscape of Inflammatory Breast Cancer

open access: yesAdvanced Science, EarlyView.
Inflammatory breast cancer is the most lethal subtype of breast cancer and is characterized by an immunosuppressive tumor microenvironment (TME) driven by a complex network of immune cells and inflammatory cytokines, contributing to its aggressiveness and treatment challenges. Immune checkpoint inhibitors, either alone or in combination, show potential
Verena Martinez‐Rodriguez   +3 more
wiley   +1 more source

MiR‐940 Suppresses Ferroptosis by Controlling Expression of Key Regulatory Genes

open access: yesAdvanced Science, EarlyView.
A CRISPR‐based screening identified miR‐940 as a critical suppressor of ferroptosis in cancer. By coordinating the downregulation of pro‐ferroptotic genes with the upregulation of GPX4, miR‐940 establishes a regulatory network that protects against ferroptosis and correlates with poor clinical outcomes in distinct cancer entities.
Andrea Kolak   +19 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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