Results 181 to 190 of about 549,018 (333)

Determinants of local food producer participation in state‐sponsored marketing programs: Evidence from Missouri

Agribusiness, EarlyView.
Abstract This study examines producer participation choices considering a variety of potential benefits linked to state‐sponsored marketing programs, using a real choice dataset of farmers in Missouri. Multinomial logit models are employed to predict determinants of farmer enrollment in three tiers of the Missouri Grown local food marketing program ...
Lan Tran, Ye Su, Laura McCann
wiley   +1 more source

Sketched and truncated polynomial Krylov methods: Evaluation of matrix functions [PDF]

, 2023
Davide Palitta, Marcel Schweitzer, Valeria Simoncini   +2 more
openalex   +1 more source

Is Youth's Engagement in Agribusiness an Opportunity or a Necessity? A Closer Look at the Situation in South Kivu, Eastern Democratic Republic of the Congo

Agribusiness, EarlyView.
ABSTRACT Despite the broad focus on necessity‐ and opportunity‐driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push‐pull motivation
Cool Dady Mangole, Paul Martin Dontsop Nguezet, Shiferaw Feleke, Victor Manyong, Kamala Kaghoma Christian, Zoumana Bamba, Tahirou Abdoulaye   +6 more
wiley   +1 more source

Matrix valued orthogonal polynomials of Jacobi type: the role of group representation theory [PDF]

, 2005
F. Alberto Grünbaum, Inés Pacharoni, Juan Tirao   +2 more
openalex   +1 more source

Finite Orthogonal M Matrix Polynomials

Symmetry
In this study, we aim to construct a finite set of orthogonal matrix polynomials for the first time, along with their finite orthogonality, matrix differential equation, Rodrigues’ formula, several recurrence relations including three-term relation, forward and backward shift operators, generating functions, integral representation and their relation ...
openaire   +2 more sources

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +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

Mathematical Modeling and Computation of NM-Polynomial Indices for Physicochemical Properties Prediction. [PDF]

Sci Rep
Tawhari QM, Naeem M, Koam ANA, Ahmad A, Oyelakin O.   +4 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

A Practical Identifiability Criterion Leveraging Weak-Form Parameter Estimation. [PDF]

Bull Math Biol
Heitzman-Breen N, Dukic V, Bortz DM.
europepmc   +1 more source