Results 191 to 200 of about 194,005 (326)
Mutual information-based best linear unbiased prediction for enhanced genomic prediction accuracy
Zhixu Pang +7 more
openalex +2 more sources
Correlative species distribution models (SDMs) are quantitative tools in biogeography and macroecology. Building upon the ecological niche concept, they correlate environmental covariates to species presence to model habitat suitability and predict species distributions.
Moritz Klaassen +3 more
wiley +1 more source
polyGBLUP: a modified genomic best linear unbiased prediction improved the genomic prediction efficiency for autopolyploid species. [PDF]
Song H, Zhang Q, Hu H.
europepmc +1 more source
Multivariate Genomic Best Linear Unbiased Prediction (GBLUP) Can Improve Genomic Selection in Mungbean [PDF]
Mark Edward Fabreag +9 more
openalex +1 more source
From shadows to data: first robust population assessment of snow leopards in Pakistan
The snow leopard Panthera uncia is a flagship species of the greater Himalayan region and symbolizes the integrity of this ecological system. Within the greater Himalayas, Pakistan holds special significance as the north of the country represents a confluence of three major mountain ranges (Hindu Kush, Pamir–Karakoram, and Himalaya).
Muhammad Ali Nawaz +9 more
wiley +1 more source
This work discovered stable V2B2 monolayer exhibits promising HER catalytic activity via unbiased swarm‐intelligence structural search. Further doping with transition metals such as Sc, Y, Ti, Zr, Hf significantly enhances the HER activity. Bader charge analysis reveals a linear correlation between ΔGH* and the electron gain by the hydrogen atom, which
Ziqi Li +5 more
wiley +1 more source
Abstract Implantable cardioverter defibrillators (ICDs) reliably prevent death due to life‐threatening arrhythmias; this may become less relevant in people with more severe heart failure who are reaching the end of life (EOL). This review aimed to explore the ICD deactivation process and identify ethical issues, especially around the initiation of ...
Siobhan C. Murray +2 more
wiley +1 more source
Empirical Best Linear Unbiased Prediction for Out of Sample Areas
Models for small area estimation based on a random effects specification typically assume population units in different areas are uncorrelated. However, they can be extended to account for the correlation between areas by assuming that area random effects are spatially correlated. In this paper we suggest a simple variance-covariance structure for such
Saei, Ayoub, Chambers, Ray
openaire +1 more source
Abstract The artificial intelligence (AI) revolution is upon us. It will inevitably form a central component of epilepsy workflows and patient advocacy. Therefore, it behooves us as health care providers to ride the crest of this wave and guide its direction for the benefit of all people with epilepsy.
Colin B. Josephson +13 more
wiley +1 more source

