Results 221 to 230 of about 1,442,152 (332)
The association of nitrate exposure with bone mineral density in adolescents aged 12 to 19: A cross-sectional study. [PDF]
Duan S +5 more
europepmc +1 more source
Explainable spatial machine learning for hedonic real estate modeling
Abstract Accurately modeling rents and prices is a key challenge in real estate analysis. Traditional linear models may fail to capture complex non‐linear relationships, and spatial dependencies are often ignored in existing machine‐learning approaches.
Tim Gyger +5 more
wiley +1 more source
Bat echolocation signals based on the time-varying autoregressive method. [PDF]
Zhong X, Wang Z, Wang J, Yin K, Luo J.
europepmc +1 more source
Vegetation cover promotes rodent activity and acorn dispersal, while wild boars exert a direct negative effect on mice. Conversely, deer and predators displayed no significant impact on rodent behavior. These results identify wild boars as the main disruptors of rodent‐mediated forest regeneration.
David Notario Rincón +9 more
wiley +1 more source
A predator-prey model with age-structured role reversal. [PDF]
Suarez LC, Cameron MK, Fagan WF, Levy D.
europepmc +1 more source
Urban Eurasian tree sparrows exhibit pronounced nest‐site plasticity, exploiting vertical building space while preferring lower nest heights when sites are abundant. Nest decisions are driven by altitude and building height rather than other factors, indicating a shift toward anthropogenic resources in cities.
Yang Wang +11 more
wiley +1 more source
Association of serum ferritin with bone turnover markers and bone mineral density in children and adolescents: Finding from NHANES 1999-2002. [PDF]
Zheng W, Chen Z, Chen H, Pan Y, Chen J.
europepmc +1 more source
Trait coevolution and causal inference using generalized dynamic phylogenetic models
Abstract Phylogenetic comparative methods are widely used to study trait coevolution across biological and cultural domains. The most common methods are phylogenetic generalized linear (mixed) models, phylogenetic path analysis, Pagel's ‘discrete’ method and Ornstein–Uhlenbeck models. While some frameworks like generalized linear mixed models are quite
Erik J. Ringen +3 more
wiley +1 more source
Machine learning and engagement insights for personalized blood glucose management. [PDF]
Breuer Asher I +3 more
europepmc +1 more source

