Results 161 to 170 of about 112,249 (274)
The microscopic structure of the leg muscle of the sea‐spider, Anoplodactylus lentus [PDF]
, 1916 H. E. Jordan
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Shared and Unique Neural Codes for Biological Motion Perception in Humans and Macaque Monkeys
Advanced Science, EarlyView.Cross‐species fMRI studies reveal distinct neural mechanisms for biological motion (BM) processing. In humans, the posterior superior temporal sulcus (hpSTS) selectively responds to conspecific BM, while monkeys process BM from both species in the middle temporal area (MT).
Yuhui Cheng +7 more
wiley +1 more source
Electrostatically Reinforced Double Network Granular Hydrogels
Advanced Science, EarlyView.Electrostatically reinforced double network granular hydrogels (DNGHs) with cartilage‐like fracture energy are introduced. An empirical model predicts the composition‐dependent fracture energy based on dissipation zone size, contact area, and inter‐particle adhesion energy. Thanks to their granular structure and the inter‐particle attraction, the DNGHs
Tianyu Yuan +3 more
wiley +1 more source
RAB3B Dictates mTORC1/S6 Signaling in Chordoma and Predicts Response to mTORC1‐Targeted Therapy
Advanced Science, EarlyView.RAB3B is unveiled as a prominent oncogenic regulator in chordoma, which can block the DUSP12‐mediated dephosphorylation of p‐S6 (S235/236). The combination of RAB3B and p‐S6 indicates a good prognostic value and predicts mTORC1 inhibitors response for chordoma patients.
Jianxuan Gao +15 more
wiley +1 more source
Advanced Science, EarlyView.This review explores the potential of electroactive electrospun nanofibrous (EEN) scaffolds for enhanced skin wound healing. It discusses how a variety of electroactive materials can be prepared into EEN scaffolds via electrospinning technology, and their applications in various wound types. The review provides insights into the future perspectives for
Yang Zhang +10 more
wiley +1 more source
On the Nesting Grounds of the Solitary Sandpiper and the Lesser Yellow-Legs [PDF]
, 1923 J. Fletcher Street
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AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices
Advanced Science, EarlyView.Triboelectric nanogenerators (TENGs) enable sustainable energy harvesting and self‐powered sensing but face challenges in material optimization, fabrication, and stability. Integrating artificial intelligence (AI) enhances TENG performance through machine learning, improving energy output, adaptability, and predictive maintenance.
Aiswarya Baburaj +4 more
wiley +1 more source