Results 201 to 210 of about 1,008,986 (352)
A 3D nanowire‐network SERS substrate with robust adhesion is developed, featuring pronounced z‐direction optical activity, ultralow detection limit (1.5 × 10−13 M), and excellent signal uniformity (RSD < 10%). Enabled by enhanced light scattering, increased optical density of states, and structural reinforcement, the substrate demonstrates stable, high‐
Jinglai Duan +6 more
wiley +1 more source
Dynamic graph neural networks for UAV-based group activity recognition in structured team sports. [PDF]
Zahra I +6 more
europepmc +1 more source
Artificial Intelligence in the Selection of Top-Performing Athletes for Team Sports: A Proof-of-Concept Predictive Modeling Study [PDF]
Dan Cristian Mănescu +1 more
openalex +1 more source
This work provides a novel interpretation of the nitrate reduction mechanism on iron oxides (FeOx) by employing constant‐potential density functional calculations and reports the design and synthesis of a robust and high‐performance Fe3O4/Fe‐N4‐C catalyst with remarkable Faradaic efficiency, current density, and stability under practical reaction ...
Qiang Zhou +8 more
wiley +1 more source
Physical and Biomechanical Relationships with Countermovement Jump Performance in Team Sports: Implications for Athletic Development and Injury Risk. [PDF]
Bygate-Smith MK, Beaven CM, Drury M.
europepmc +1 more source
Female Athletes and the Menstrual Cycle in Team Sports: Current State of Play and Considerations for Future Research. [PDF]
Vogel K, Larsen B, McLellan C, Bird SP.
europepmc +1 more source
Are we sports physiotherapists working as a team as well as we could? [PDF]
Hamish Ashton
openalex +1 more source
Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann +8 more
wiley +1 more source

