Results 181 to 190 of about 15,725,763 (286)
Antisolvent Vapour‐Assisted Crystallization (AVAC) enables controlled perovskite crystallization through precisely metered antisolvent vapour, eliminating liquid antisolvent waste. Compatible with roll‐to‐roll (R2R) slot‐die coating, AVAC produces uniform, pinhole‐free films with enlarged grains, delivering efficiencies of 18.3% for R2R fabricated ...
Narendra Pai +11 more
wiley +1 more source
From testbeds to high-stakes work: a review of Human-AI teaming domains and teaming factors. [PDF]
Kargarnovin S +5 more
europepmc +1 more source
Polymer‐coated IONPs functionalized with IL‐4 display respective neuroactive and anti‐inflammatory actions on neural progenitor cells and macrophages/microglia in vitro. When examined chronically in a rat experimental model of spinal cord injury, rGO scaffolds carrying these nanosystems adequately integrate into the lesion, significantly reduce ...
Julia Martínez‐Ramírez +12 more
wiley +1 more source
Evaluating foundation models on official German medical licensing examinations: Implications for high-stakes assessment and AI-assisted medical education. [PDF]
Cirkel L +5 more
europepmc +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Low incidence, high stakes: BCMA CAR-T and parkinsonism
Oliver Van Oekelen, Samir Parekh
doaj +1 more source
Intermittent inflow occlusion during robotic donor hepatectomy: technical refinement in a high-stakes operation through a randomized controlled trial. [PDF]
Mascherini J, Sucandy I.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

