Results 181 to 190 of about 2,026 (260)
Generations in the grove: the Dongria Kondh's ecological kinship and intergenerational resilience. [PDF]
Yadav A.
europepmc +1 more source
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen +6 more
wiley +1 more source
ONRAMP-AI-VRAR: an operational protocol for ethics and governance of AI-enabled immersive psychotherapy. [PDF]
Rahangdale A +2 more
europepmc +1 more source
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu +5 more
wiley +1 more source
Socio-Healthcare for Older People in the Mediterranean Basin: An Integrative Review and Quality Appraisal. [PDF]
Porcel-Gálvez AM +5 more
europepmc +1 more source
An intelligent odor monitoring system integrates an IVC animal model, gas sensor array, real‐time resistance readout, and machine‐learning analysis to continuously monitor infection‐associated odor changes. The platform captures longitudinal sensor responses, distinguishes infected from healthy states, and supports early‐stage respiratory viral ...
Yajie Shen +17 more
wiley +1 more source
Rubrene microcrystals, forming two distinct sector types, are investigated using photoemission electron spectroscopy. The two sectors exhibit a built‐in charge landscape, arising from anisotropic conductivities. Upon excitation with UV light, the diamond‐shaped sectors accumulate significant charge, whereas the triangular sectors remain essentially ...
Moha Naeimi, Ingo Barke, Sylvia Speller
wiley +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source

