Results 131 to 140 of about 5,841 (245)
Increasing contextualization of care rates through clinician prompting interventions. [PDF]
Schwartz A, Weiner SJ.
europepmc +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
This review brings together 20 publications describing 11 robotic system families developed for instrument handling, sterile‐package opening, supply delivery, and operating room logistics. Perception is becoming more capable through deep learning and language‐guided control, but autonomy remains limited, evidence is largely laboratory‐based, and no ...
Eugenia Mawuenya Akpo +4 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Temperature‐dependent electron diffraction on tin monochalcogenides demonstrates a gradual displacive transformation between ferroelectric and paraelectric phases with significant variability in lattice constants and Curie temperature (TC). Periodic variations exist even between domains in individual crystals, implying a domain‐specific Curie ...
Peter Sutter, Eli Sutter
wiley +1 more source
Is Tori seeing red? A lesson for first-year biology that unveils the complexity of phenotypic variation with pedigree analysis. [PDF]
Mohammed Kamal A +5 more
europepmc +1 more source
This review identifies current and future directions in abiotic nanostructured catalysts to develop reliable and sustainable glucose fuel cells to power the next generation of bioelectronic devices. ABSTRACT The global rise in incidence of chronic diseases has led to the demand for innovative solutions that help patients manage their conditions with ...
Asghar Niyazi +3 more
wiley +1 more source
ABSTRACT The LRRK2 G2019S mutation, a Parkinson's disease–linked variant, has been associated with depression‐like phenotypes, but mechanisms remain unclear. We chart age‐dependent behavioral changes and astrocyte reactivity in G2019S mice and define a pathway connecting LRRK2 to TFEB/GDNF signaling, cellular energetics, and inflammation.
Longping Yao +5 more
wiley +1 more source
Penetrating Neck Injury in a Child Presenting as a Simple Laceration: A Case Report. [PDF]
Davitt B, Quinn E.
europepmc +1 more source
The pre‐regenerative vascular niche (PVN) is essential for nerve repair, yet its endothelial blueprint remains unclear. We identified angiogenic ECs (AECs) as the dominant pre‐regenerative subset and found that antler blood–derived exosomes (AB‐EXO) promote repair via IMP3.
Jinsheng Huang +11 more
wiley +1 more source

