Results 141 to 150 of about 8,423,604 (262)

Extension Economists: Valued in Mission, Penalized in Practice

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT As the public engagement arm of the land‐grant mission, we argue that Extension faculty in US agricultural economics departments face an identity crossroads as they struggle for institutional support. Specifically, we argue that Extension economists function as boundary‐spanning professionals within academic structures that often devalue ...
Trey Malone, Craig W. Carpenter, Courtney Bir, Andrew J. Van Leuven, Rebecca Wasserman‐Olin, Wendong Zhang   +5 more
wiley   +1 more source

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

How Does Patient Capital Enhance Agribusiness Resilience? Evidence From Chinese Listed Agribusinesses

Agribusiness, EarlyView.
ABSTRACT In emerging economies where smallholder farming dominates agricultural production, agribusinesses serve as critical intermediaries linking smallholders to broader markets, and their resilience directly affects agricultural sustainability. Short‐term‐oriented capital is reluctant to adequately finance highly uncertain and cyclical agricultural ...
Siyuan Lyu, Jianling Qi, Liling Jiang, Ronghua Jin, Yuanhao Yu, Lingjing Zhang   +5 more
wiley   +1 more source

Domestic and External Drivers of Brazilian Pork Price Volatility Under Russian Trade Policies

Agribusiness, EarlyView.
ABSTRACT This study investigates how Russian trade policies and domestic factors influence the volatility of Brazilian live swine prices from 2004 to 2019. We employ a DCC‐MGARCH framework, along with volatility impulse‐response functions and the connectedness approach, to analyze time‐varying co‐movement and dynamic volatility spillovers across pork ...
Gabriel Rosero, Tinoush Jamali Jaghdani, Bernhard Brümmer   +2 more
wiley   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source

Ecological governance and population subjective wellbeing: the mediating role of social trust. [PDF]

Front Psychol
Wen M, Lu R, Sun W.
europepmc   +1 more source

Review of Somogy Varga’s Science, Medicine, and the Aims of Inquiry: A Philosophical Analysis (Cambridge University Press, 2024)

Philosophy of Medicine
Elisabetta Lalumera
doaj   +1 more source

Bond Energy Descriptors Enable Machine Learning With Limited Data: Design of Capping Agents for Thermoplastic Polyurethane Recycling

Advanced Intelligent Discovery, EarlyView.
Data scarcity is a critical bottleneck for machine learning in applied chemistry. We show that physics‐informed descriptors enable a simple linear model to predict the deblocking temperatures of capped diisocyanates to within 11 °C from just 19 measurements, demonstrating that embedding physical insight into descriptors, rather than relying on ...
Remsha Rafiq, Barbaro Zulueta, Hannah Zucco, Ramakrishna Suresh, Jason E. Shoemaker, Michael Call, Daylan Sheppard, Glenn Cormack, John A. Keith, Götz Veser   +9 more
wiley   +1 more source

Integrating Normative Philosophy of Medicine in Interdisciplinary Research

Philosophy of Medicine
Elisabetta Lalumera
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source