Results 151 to 160 of about 17,324,730 (295)
ABSTRACT The California dairy industry has experienced considerable consolidation over the past 30 years. During this period, there has also been substantial technological innovation, implementation of the state's Low Carbon Fuel Standard program, and rapid adoption of anaerobic digesters.
Michael McCullough, Jarrett Hart
wiley +1 more source
Chromatin remodeling and epigenetic regulation of mesenchymal stem/stromal cells in osteoarthritis. [PDF]
Wu M +8 more
europepmc +1 more source
ABSTRACT This study investigates how consumer taste and brand equity perceptions shape the acceptance of plant‐based milk products. Using a blind/informed tasting experiment, we evaluated consumers' willingness to buy (WTB) and taste perception of a plant‐based milk alternative produced by a traditional dairy brand, compared with competing plant‐based ...
Federico Parmiggiani +6 more
wiley +1 more source
Systemic barriers to geriatric care in South Africa: a qualitative stakeholder-informed analysis. [PDF]
Mayer L +7 more
europepmc +1 more source
From Barter to Digital Currency: Modeling the Evolution of Exchange Systems
This article explores the historical evolution and underlying dynamics of exchange systems, from barter economies to modern digital currencies. By integrating economic theory, historical analysis, and systems modeling, we develop a comprehensive framework that identifies key drivers of the transformation of exchange mechanisms, such as trust ...
openaire +2 more sources
Elizabeth Barter raconte un conte, et puis parle des traditions et coutumes
Elizabeth Barter finit un conte, puis raconte une histoire à dormir debout appris de Battis Cornect. Elle discute d’une chanson qui s’appelle « Ol’ Tommy Caul’ ». Ensuite elle conte le conte « La fille avec les deux mains coupées ».
Thomas, Gerald;
core
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
A sampling-event dataset from the survey of wintering waterbirds in Coastal Fujian Province, China. [PDF]
Ding L, Cao J, Cao L, Xu Z, Zhao Q.
europepmc +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source

