Results 241 to 250 of about 137,432 (352)
Targeting Plastic Exposure in Infertile Couples: A Pilot Intervention Study. [PDF]
Hua J +7 more
europepmc +1 more source
Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley +1 more source
Isolation leads to greater clonality and reduced seed production in a temperate seagrass. [PDF]
Smith TM +7 more
europepmc +1 more source
Alternatives to the Swan–Ganz catheter
D. De Backer +14 more
semanticscholar +1 more source
This study investigates friction and wear of AISI 52100 steel under dry sliding in CO2, air, and N2 atmospheres, with and without contact electrification. CO2 forms a stable carbon‐rich tribofilm that reduces friction by ∼30% and wear by ∼85%. High‐resolution TEM, EELS, and molecular dynamics reveal pressure‐dependent lubrication mechanisms, showing ...
Julio A. Cao‐Romero‐Gallegos +6 more
wiley +1 more source
Cardiorenal Syndrome Type 1 Complicated by Uremic Pericarditis and a Small Pericardial Effusion Causing Cardiac Tamponade. [PDF]
Khoury F +4 more
europepmc +1 more source
This work highlights the impact of incorporating graphene nanoflakes into precursor inks of MAPbBr3 for inkjet‐printed optoelectronic device applications. A substantial modification of the crystallization dynamics is reported despite miniscule concentrations.
Kenneth Lobo +12 more
wiley +1 more source
20-year follow-up of physeal growth plate microvascular transfer in a finger reconstruction. [PDF]
Cavadas PC +2 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source

