A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming. [PDF]
Kim Y +3 more
europepmc +1 more source
Unpacking the Farmland Capitalization Effect of Ethanol Establishment
ABSTRACT We unpack the impact of expansions in ethanol production—as measured by proximity to newly constructed ethanol plants and capacity expansions—on farmland values using land transaction data from Kansas in combination with modern causal inference techniques.
Gabriel S. Sampson, Jisang Yu
wiley +1 more source
The Cost of a Nutritious Diet in Cafeterias: Evidence From US Military Dining Facilities
ABSTRACT Providing nutritious meals in institutional settings with financial constraints, such as military dining facilities, is challenging. The US Department of War (DoW) and US Department of Agriculture (USDA) collaborated to modernize the Basic Daily Food Allowance (BDFA) using an optimization model that incorporates service members' consumption ...
Linlin Fan +8 more
wiley +1 more source
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Exploration of the sputum methylome and omics deconvolution by quadratic programming in molecular profiling of asthma and COPD: the road to sputum omics 2.0. [PDF]
Groth EE +9 more
europepmc +1 more source
Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain
Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Quadratic programming-based autonomous cruise control of an intelligent tugboat. [PDF]
He H, Peng T, Li H, Huang D, Liu C.
europepmc +1 more source

