Results 141 to 150 of about 42,084 (260)

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

Dynamic Bayesian network modeling for intervention mechanism

BMC Neuroscience, 2012
Sun Yan, Tang Yi-Yuan
doaj   +1 more source

Dynamic Bayesian network analysis of the social determinants of mental health. [PDF]

PNAS Nexus
Skinner A, Li I, Varidel M, Iorfino F, Occhipinti JA, Song YJC, Chong MK, Hickie IB.   +7 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

Risk Assessment of Hydrogen-Powered Aircraft: An Integrated HAZOP and Fuzzy Dynamic Bayesian Network Framework. [PDF]

Sensors (Basel)
Dang X, Shao Y, Liu H, Yang Z, Zhong M, Zhao H, Deng W.   +6 more
europepmc   +1 more source

Protection Motivation Theory and Farmers' Participation in Futures Markets: Evidence From Germany

Agribusiness, EarlyView.
ABSTRACT This study examines why German farmers show limited adoption of commodity futures contracts despite substantial price volatility, applying Protection Motivation Theory (PMT) to understand the cognitive processes driving participation decisions in futures markets. Survey data from 303 German farmers collected in 2024 were analyzed using Partial
Hendrik Wever, Marius Michels, Oliver Musshoff   +2 more
wiley   +1 more source

A dynamic Bayesian network approach to modeling engagement and walking behavior: insights from a yearlong micro-randomized trial (<i>Heartsteps II</i>). [PDF]

Health Psychol Behav Med
De La Torre SA, El Mistiri M, Tung K, Hekler E, Klasnja P, Pavel M, Rivera DE, Spruijt-Metz D, Marlin B.   +8 more
europepmc   +1 more source

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

Advanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002-2016). [PDF]

Front Public Health
Begashaw GB, Zewotir T, Fenta HM.
europepmc   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source