Results 81 to 90 of about 3,687,370 (267)

What Explains Racial Differences in Farm Succession Planning? Evidence From Decomposition and Counterfactual Analysis

Agribusiness, EarlyView.
ABSTRACT This paper examines racial differences in farm succession planning using survey data from Tennessee farmers. While observed differences between White and Black farmers are small, decomposition and counterfactual analyses show that structural characteristics, particularly farm size, would predict higher succession planning among White farmers ...
Abdelaziz Lawani, Anna‐Liisa Ihuhwa, Armine Poghosyan   +2 more
wiley   +1 more source

An Application of Furuta Inequality to Linear Operator Equations

Kyungpook mathematical journal, 2009
A class of Hermitian operators B admitting a positive semidefinite solution of the linear operator equation for a fixed positive definite operator A is given via the Furuta inequality.
Eun-Kyung Ahn, Yong-Do Lim
openaire   +2 more sources

Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review

Agribusiness, EarlyView.
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara, Eugenio Pomarici, Leonardo Cei   +2 more
wiley   +1 more source

Learning regime‐dependent governing equations: A symbolic decision tree approach

AIChE Journal, EarlyView.
Abstract Many chemical engineering systems are governed by mechanisms that switch across operating regimes, making the data‐driven discovery of regime‐dependent governing equations essential for predictive modeling, optimization, and control. We propose symbolic decision trees for the data‐driven discovery of regime‐dependent governing equations.
Ilias Mitrai, Tongjia Liu, Gabriel E. Sanoja   +2 more
wiley   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source

Opial type inequalities for linear differential operators [PDF]

Mathematical Inequalities & Applications, 1998
In the present paper, the author has given various \(L_p\) form Opial type inequalities for a linear differential operator \(L\), involving its related initial value problem solution \(y\), \(Ly\), the associated Green's function \(H\) and initial conditions points \(x_0\in\mathbb{R}\).
openaire   +2 more sources

Programmable Flocks: Hierarchical Swarm Control via Dynamic Parameter Injection

Advanced Intelligent Systems, EarlyView.
We present a method for the control of robot swarms which allows the shaping and the translation of patterns of simple robots (“smart particles”), using two types of devices. These two types represent a hierarchy: a larger group of simple, oblivious robots (which we call the workers) that is governed by simple local attraction forces and a smaller ...
Vivek Shankar Varadharajan, Giovanni Beltrame   +1 more
wiley   +1 more source

The Uniqueness Theorem of the Solution for a Class of Differential Systems with Coupled Integral Boundary Conditions

Discrete Dynamics in Nature and Society, 2018
We discuss the uniqueness of the solution to a class of differential systems with coupled integral boundary conditions under a Lipschitz condition. Our main method is the linear operator theory and the solvability for a system of inequalities.
Shuman Meng, Yujun Cui
doaj   +1 more source

Models of linear operators satisfying operator inequalities

, 2020
Tesis doctoral inédita leída en la Universidad Autónoma de Madrid, Facultad de Ciencias Económicas y Empresariales, Departamento de Matemáticas.
openaire   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source