Results 171 to 180 of about 37,619,125 (281)

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

Trends and Patterns in Wealth Index Assets: Observations From 68 Countries. [PDF]

Glob Health Sci Pract
Corley A, Dunn C, Hung YW, Sprockett A, Montagu D, Chakraborty N.   +5 more
europepmc   +1 more source

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

Creative health assets in Staffordshire: Harnessing community power to tackle health inequalities. [PDF]

Perspect Public Health
Marsden R.
europepmc   +1 more source

The Effect of Sustainability Information on Consumers' Preferences for Fungus‐Resistant Grape Wine

Agribusiness, EarlyView.
ABSTRACT The demand for sustainable food production is intensifying the need to reduce the environmental and social impacts of pesticide use in agriculture. In viticulture, where dependence on pesticides is high because grapevines are susceptible to fungal diseases, fungus‐resistant grape varieties (PIWI) offer a promising strategy to reduce chemical ...
Daniel Vecchiato, Andrea Dominici, Fabio Boncinelli   +2 more
wiley   +1 more source

Investing in the Next Generation: How the CDC John R. Lewis Undergraduate Public Health Scholars Program Is Transforming the US Public Health Workforce. [PDF]

J Public Health Manag Pract
Lichtveld M, Buchanich J, Klousnitzer J, Kirkpatrick Heimke K, Belcher H, Fleming P, Joseph M, Piercey G, Prelip M, Trawick C.   +9 more
europepmc   +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

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Strengthening Partnerships in School-Based Substance Use Prevention and Intervention for Adolescents. [PDF]

J Sch Health
Casella J, Goodwin AKB, Lever N, Schaeffer CM.   +3 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source