Results 191 to 200 of about 7,302,591 (280)
Honouring complexity and social justice in mental health: The socio-political economy of global mental health framework. [PDF]
Burgess RA +7 more
europepmc +1 more source
ABSTRACT The U.S. Department of Agriculture's (USDA) World Agricultural Supply and Demand Estimates (WASDE) play a central role in how agricultural commodity markets process information about supply, demand, and prices. This study examines how global and domestic shocks, as well as policy interventions, are reflected in the similarity of WASDE ...
Zhining Sun +2 more
wiley +1 more source
Injustice unmasked: a systematic review of social justice struggles during the COVID pandemic in Canada. [PDF]
Mensah C, Bodunrin S.
europepmc +1 more source
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 +2 more
wiley +1 more source
From rupture to recourse: building a new economic order for health. [PDF]
Labonté R.
europepmc +1 more source
Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review
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 +2 more
wiley +1 more source
The ecology of urban segregation. [PDF]
Pickett STA, McPhearson T.
europepmc +1 more source
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source

