Results 141 to 150 of about 206,039 (334)

ESTIMATION OF NUTRIENT INPUTS THROUGH SUBMARINE GROUNDWATER DISCHARGE TO THE ARIAKE BAY AREA -OFF THE OURA COAST, TARA-TOWN IN SAGA-

, 2007
Jun Yasumoto, Yoshinari HIROSHIRO, Hidetomo Takaoka, Hisashi Furuichi, Hidetaka MATSUBARA, Kenji Jinno   +5 more
openalex   +2 more sources

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Empirical Bayes Estimation of Semi-parametric Hierarchical Mixture Models for Unbiased Characterization of Polygenic Disease Architectures. [PDF]

Front Genet, 2018
Nishino J, Kochi Y, Shigemizu D, Kato M, Ikari K, Ochi H, Noma H, Matsui K, Morizono T, Boroevich KA, Tsunoda T, Matsui S.   +11 more
europepmc   +1 more source

Food Prices and Inflation Expectations in New Zealand

Agribusiness, EarlyView.
ABSTRACT Food prices are conspicuous, and spending on food constitutes a considerable share of household expenditure. In this study, we use partially identified Bayesian structural vector autoregression models to analyze the effects of food price shocks on core inflation and 1‐ and 5‐year inflation expectations in New Zealand.
Puneet Vatsa, Gabriel Pino, Alex Acheampong   +2 more
wiley   +1 more source

Variance adaptive shrinkage (vash): flexible empirical Bayes estimation of variances. [PDF]

Bioinformatics, 2016
Lu M, Stephens M.
europepmc   +1 more source

Overcoming limitations of the independent clusters model for CFA by means of Bayes-estimation and buffered simple structure

, 2019
André Beauducel, Norbert Hilger
openalex   +1 more source

On Bayesian estimation of densities and sampling distributions: The posterior predictive distribution as the Bayes estimator [PDF]

, 2021
Agustín García Nogales
openalex   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

AN ESTIMATION METHOD OF EQUILIBRIUM GRAIN SIZE DISTRIBUTION IN INNER BAY

, 2008
Hiroshi Aki, Susumu Nakano, Haruo MORI, Naoya OKADA   +3 more
openalex   +2 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source