Results 161 to 170 of about 277,784 (216)
Explaining hidden mechanisms: a generative model for causal graphs with nonlinear latent factors. [PDF]
Maruhashi K +3 more
europepmc +1 more source
In this study, we analysed data collected at 40 sites in the Northwest of Scotland (from 2018 to 2020) to quantify the relative contributions of hypothesised pathogen transmission hosts (deer and sheep) and non‐transmission hosts (birds and rodents) on the environmental abundance of ecotypes I and II of Anaplasma phagocytophilum. Our results add to our
William McLellan +8 more
wiley +1 more source
We employed maximum entropy species distribution modeling to assess current and future suitable habitat for Tetramorium caldarium, a pantropical invasive ant species, using 346 occurrence records and bioclimatic variables projected under two climate scenarios (RCP 2.6 and RCP 8.5) for 2050 and 2070. The model demonstrated excellent performance (AUC = 0.
Mohamed Nasser +8 more
wiley +1 more source
We developed a SNP panel for non‐invasive genetic monitoring of introduced sambar deer which enables the integration of faecal‐derived genotypes with existing data. Our degradation study found that exposed faecal samples were viable up to 4 days, with ~200 SNPs successfully genotyped, while protected samples were still viable after 14 days.
Tamandra H. D'Ombrain +4 more
wiley +1 more source
The equilibrium point hypothesis revisited: why threshold control does not explain human movement. [PDF]
Mangalam M, Stergiou N.
europepmc +1 more source
Bulk‐ and eDNA‐metabarcoding were compared across 50 groundwater sites (monitoring wells, springs, hydrants) to assess invertebrate communities. Both recovered different community structures with limited overlap (13.8% OTUs); eDNA was dominated by non‐stygobionts, and bulk samples by stygobionts.
Hannah Rau +3 more
wiley +1 more source
Sifting through the noise: A survey of diffusion probabilistic models and their applications to biomolecules. [PDF]
Norton T, Bhattacharya D.
europepmc +1 more source
ABSTRACT In spatial regression models, unmeasured spatial variables, represented by spatial random effects, are typically not independent of observed covariates and can induce significant bias in covariate effect estimates. This fundamental problem, known as spatial confounding, has been extensively studied, but sometimes with puzzling and seemingly ...
Emiko Dupont, Isa Marques, Thomas Kneib
wiley +1 more source
Stationary Subspace Analysis for Spatial Data
ABSTRACT Stationary subspace analysis (SSA) is a blind source separation framework that decomposes linearly mixed multivariate data into stationary and nonstationary components. We extend SSA to spatially indexed data by introducing spatial stationary subspace analysis (spSSA), which explicitly accounts for spatial dependence.
Perttu Saarela +3 more
wiley +1 more source
Beach Gold and Heavy Mineral Concentrates on Tiwai Spit Gravel Strand Plain, Southland, New Zealand
The Holocene Tiwai Spit on Foveaux Strait is a 12 km by 2 km gravel‐dominated strand plain, ∼10 m above present sea level. Gravel clasts are dominated by well‐rounded quartz cobbles, pebbles and granules derived from Otago Schist 200 km to the north in evolving river drainage systems during late Cenozoic.
Marshall Palmer, Dave Craw
wiley +1 more source

