Results 41 to 50 of about 2,364,994 (254)
Bayesian logistic regression analysis for spatial patterns of inter-seasonal drought persistence
Geocarto International, 2023 Drought is one of the disastrous natural hazards with complex seasonal and spatial patterns. Understanding the spatial patterns of drought and predicting the likelihood of inter-seasonal drought persistence can provide substantial operational guidelines ...
Muhammad Ahmad Raza +5 more
doaj +1 more source
Advanced Functional Materials, EarlyView.This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli +4 more
wiley +1 more source
Learnable Markov Chain Monte Carlo Sampling Methods for Lattice Gaussian Distribution
IEEE Access, 2019 As a key ingredient of machine learning and artificial intelligence, the sampling algorithms with respect to lattice Gaussian distribution has emerged as an important problem in coding and decoding of wireless communications.
Zheng Wang, Shanxiang Lyu, Ling Liu
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Italian Journal of Animal Science, 2022 The Italian National Pig Breeders Association (ANAS) manages the breeding programs of the Italian Large White (ILW), Landrace (IL), and Duroc (ID) breeds, mainly oriented to the production of PDO hams.
M. Cappelloni, M. Gallo, A Cesarani
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Electron‐Deficient Linkers Enhance H2O2 Electrosynthesis in Covalent Organic Frameworks
Advanced Functional Materials, EarlyView.Linker π‐conjugation modulates the electronic state of the Ni–N4 centers and their interaction with the key *OOH intermediate while preserving the primary coordination motif. NiPc‐PTDA delivers an H2O2 selectivity of 92% and a production rate of 34.8 mol gcat−1 h−1, highlighting linker electronic properties as a molecular design parameter for NiPc ...
Houting Xie +7 more
wiley +1 more source
Bayesian Inference for Finite Mixture Regression Model Based on Non-Iterative Algorithm
Mathematics, 2021 Finite mixtures normal regression (FMNR) models are widely used to investigate the relationship between a response variable and a set of explanatory variables from several unknown latent homogeneous groups.
Ang Shan, Fengkai Yang
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Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices
Advanced Functional Materials, EarlyView.This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies +2 more
wiley +1 more source
Protein‐Nanoarchitectures for Low‐Field Intracellular Electro‐Immunomodulation
Advanced Functional Materials, EarlyView.DHQ‐SDH‐mediated binding of AuNPs drives the formation of interconnected, chain‐like nanoarchitectures with enhanced electrical conductivity. These conductive assemblies undergo macrophage uptake and enable low‐field electrical stimulation, promoting M1‐to‐M2 phenotypic switching with decreased iNOS and increased CD206 expression. Such protein‐mediated
Viktoriya Pakharenko +7 more
wiley +1 more source
Genetics Selection Evolution, 2019 Background Hamiltonian Monte Carlo is one of the algorithms of the Markov chain Monte Carlo method that uses Hamiltonian dynamics to propose samples that follow a target distribution.
Motohide Nishio, Aisaku Arakawa
doaj +1 more source
Genetics Selection Evolution, 2007 Simulated data were used to investigate the influence of the choice of priors on estimation of genetic parameters in multivariate threshold models using Gibbs sampling.
Hoeschele Ina +2 more
doaj +1 more source