Results 151 to 160 of about 5,769,339 (257)
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
Model predictive control with inline parameter adaptation for direct crystal growth rate regulation
Abstract In batch cooling crystallization, many interactive factors, including supersaturation, reactor dimensions, and operating conditions, govern crystal growth and significantly influence product properties. Variables such as temperature or refractive index are used as surrogate control variables but have limitations in capturing growth rate ...
Huitian Yu, Jiewen Zhao, Heiko Briesen
wiley +1 more source
How Team Science Is Documented and Described in Published Family Medicine Research
Purpose: Increasingly emphasized by leaders in family medicine and primary care research, team science is an approach to research that requires clear documentation for replicability. Here, we report the approach to documenting team science in 2 US family
Armin, Julie S. +4 more
core +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
This is a descriptive-exploratory study of quali-quantitative nature accomplished with students living in a boarding school, with the objective of identifying the family characteristics, how the option for the boarding school was made, and to know what ...
Edlene LA Goes +5 more
doaj
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Evaluation of the impact of family relations on prisoners' health in Spain. [PDF]
Caravaca-Sánchez F, Pastor-Seller E.
europepmc +1 more source
Probing Machine Learning Interatomic Potentials on Ion Transport Properties
We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia +2 more
wiley +1 more source
Mothers' and Fathers' Experiences of Family Relations and Parenting During the First Year of Parenthood. [PDF]
Bokhan TG +6 more
europepmc +1 more source

