Results 161 to 170 of about 5,103 (262)
ABSTRACT Sustaining soil potassium (K) supply in intensive continuous cropping systems is increasingly challenging because long‐term crop removal often exceeds the natural replenishment capacity of soil K‐bearing minerals, leading to progressive depletion of plant‐available K pools.
Hangming Guo +7 more
wiley +1 more source
Explainable Meta-Learning Ensemble Framework for Predicting Insulin Dose Adjustments in Diabetic Patients: A Comparative Machine Learning Approach with SHAP-Based Clinical Interpretability. [PDF]
Guldogan E +5 more
europepmc +1 more source
Soil Contamination Around the Copper Smelter and the Use of Soil Microarthropods as Bioindicators
ABSTRACT Soil contamination from smelter emissions, including heavy metals (HM), rare earth elements (REEs), and sulfur, poses a significant threat to soil ecosystems. In the immediate vicinity of the Głogów Copper Smelter, HM concentrations were several times higher than in more distant forest stands.
Jacek Malica +10 more
wiley +1 more source
Individual lipid alterations at the origin of neuronal Ceramide Synthase defects. [PDF]
Ziegler AB +8 more
europepmc +1 more source
Modification of the existing MRLs for tebuconazole in various citrus fruits
European Food Safety Authority
doaj +1 more source
Abstract Choosing an appropriate analyzer to measure concentrations of oxygen (O2) and carbon dioxide (CO2) during biogeochemical cycling studies can be difficult, considering the range of options available. While several studies examine the abilities of specific analyzers, comparison of multiple analyzers and environmental sample types is lacking.
Elizabeth Jakobsson +2 more
wiley +1 more source
Chromosome-Scale, De Novo, Phased Genome Assemblies of Three Australian Limes: Citrus australasica, C. inodora, and C. glauca. [PDF]
Singh K +11 more
europepmc +1 more source
ABSTRACT Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation.
Antonio Lavecchia
wiley +1 more source
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid +2 more
wiley +1 more source

