Results 241 to 250 of about 1,106,534 (306)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Multi‐omics analyses uncover breed‐specific cis‐regulatory landscapes and higher‐order chromatin architectural differences that underlie early postnatal muscle fiber divergence in pigs. A super‐enhancer upstream of PPP3CB recruits MEF2C to activate PPP3CB transcription, while the PPP3CB–MEF2C positive feedback loop promotes oxidative muscle fiber ...
Shuailong Zheng +8 more
wiley +1 more source
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng +17 more
wiley +1 more source
Strength estimation of damaged wood by Xylotrechus arvicola Olivier in grapevine branches in relation to the density. [PDF]
Antolín-Rodríguez A +5 more
europepmc +1 more source
Color Stability and Photo-Degradation of Steamed Beech Wood with False Heartwood Under UV Exposure. [PDF]
Dudiak M, Výbohová E, Dzurenda L.
europepmc +1 more source
Effects of UV Aging on Antimicrobial Performance and Color Stability of Hygienic Additive-Modified Polyurethane and Waterborne Coatings Applied to Oriental Beech (<i>Fagus orientalis</i> L.). [PDF]
Kesik Hİ, Aykan R, Akbaş P.
europepmc +1 more source

