Results 251 to 260 of about 103,187 (313)
Eemian palaeogenetics demonstrates loss of diversity in modern fallow deer (<i>Dama dama</i>). [PDF]
Rocha-Méndez A +6 more
europepmc +1 more source
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
The first complete mitochondrial genome of <i>Trichaptum biforme</i> (Fr.) Ryvarden 1972 within the family Trichaptaceae, Hymenochaetales. [PDF]
Wei J +5 more
europepmc +1 more source
ABSTRACT Growing concerns about the environmental and social consequences of plastics around the world, manufacturing industries are associated with business are focusing on sustainable end‐of‐life options‐based solutions which aim at increasing the product life cycle.
Sivakumar Kirupanandan +3 more
wiley +1 more source
Emergence of a novel H4N6 avian influenza virus with mammalian adaptation isolated from migratory birds in Zhejiang Province, China, 2024. [PDF]
Yang Y +5 more
europepmc +1 more source
CytoScan: Automated Detection of Technical Anomalies for Cytometry Quality Control
ABSTRACT Studies evaluating cellular phenotypes by cytometry techniques are increasingly facing analytical challenges due to the multitudes of samples and parameters that are evaluated concurrently. Spurious technical effects resulting from a lack of standardization can affect marker distributions and further complicate multi‐sample analyses.
Tim R. Mocking +7 more
wiley +1 more source
Prediction of Composite Supercapacitor Performance Through Combining Machine Learning with Novel Binder-Related Features. [PDF]
Gong T, Yu W, Wang X.
europepmc +1 more source
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley +1 more source
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley +1 more source
Age-dependent Phylodynamics with Application to Single-cell Lineage Trees. [PDF]
Mulberry N +3 more
europepmc +1 more source

