Results 131 to 140 of about 99,191 (258)

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

Bayesian inference for integrated pharmacokinetic modelling of mitragynine and 7-hydroxymitragynine. [PDF]

ADMET DMPK
Notario D, Gunawan U, Kambira PFA, Wulandari E, Wulandari E, Prasetyanto EA.   +5 more
europepmc   +1 more source

Effects of Outsourced Agricultural Extension Services on the Technical Efficiency and Financial Returns of Soybean Farms in Northern Cameroon

Agribusiness, EarlyView.
ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda, Doria A. Medondjeu, Dorothy E. Fon, Stefan Sieber   +3 more
wiley   +1 more source

Fused ensembles of dynamic-rupture earthquake simulations to accelerate Bayesian inference. [PDF]

GEM
Kurapati V, Schneller D, Seelinger L, Niu Z, Gabriel AA, Bader M.   +5 more
europepmc   +1 more source

Blockchain‐Based Smart Contracts in US Specialty Crop Marketing: Grower Preferences and Adoption Potential

Agribusiness, EarlyView.
ABSTRACT Using survey and discrete choice experiment data, we examined US specialty crop growers' preferences for marketing contract attributes in the context of emerging blockchain‐based technologies and expanding traceability initiatives. Results show that farmers preferred traditional written contracts but might be willing to accept digital ...
Elizabeth Canales, Alba J. Collart, Matthew G. Interis, Esther Mmenaa Agyemang‐Duah   +3 more
wiley   +1 more source

Efficient sequential Bayesian inference for state-space epidemic models using ensemble data assimilation. [PDF]

PLoS Comput Biol
Temfack D, Wyse J.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Intelligent Optimization of Gas-Assisted Electrospinning via LLM-Guided Bayesian Inference. [PDF]

Micromachines (Basel)
Zeng J, Zhang R, Ou W, Zhang X, Huang S, Chen X, Xu G.   +6 more
europepmc   +1 more source

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source

Bayesian inference of RNA velocity incorporating timepoints, lineage bifurcations, and count data. [PDF]

PLoS Comput Biol
Gu Y, Song Y, Blaauw D, Welch JD.
europepmc   +1 more source