Results 131 to 140 of about 772,644 (300)

Mapping the Social Network Structure and Composition of Black Individuals With Rheumatic and Musculoskeletal Conditions

open access: yesArthritis Care &Research, EarlyView.
Objective Our objective was to describe the social networks of Black individuals with rheumatic and musculoskeletal conditions and understand the clustering of health‐related behaviors to inform future community‐based, peer‐led interventions. Methods We used an adapted Personal Network Survey for Clinical Research (PERSNET) to map the personal social ...
Taussia Boadi   +27 more
wiley   +1 more source

Understanding inner self-states in eating disorders: preliminary findings from a structured elicitation study

open access: yesEating and Weight Disorders
Purpose Eating disorders are frequently associated with fragmented self-experiences, including harsh self-criticism, shame, and withdrawal, which may be difficult to articulate using standard clinical interviews.
Paolo Meneguzzo   +7 more
doaj   +1 more source

The Relationship Between Nutrition Knowledge and Dietary Intake of University Students: A Scoping Review

open access: yesDietetics
This study aimed to provide an overview of published studies that assess the relationship between nutrition knowledge and dietary intake among university students.
Michelle O’Leary   +2 more
doaj   +1 more source

Estradiol and appetite: To eat or not to eat

open access: yesMolecular Metabolism, 2020
Nathalia Dragano   +2 more
openaire   +3 more sources

To eat or not to eat / Eat, Create, Think, Enjoy

open access: yes, 2009
"To Eat or Not to Eat" was a project that sought to investigate the relations between art, food and hunger through the images of twentieth-century visual culture. The exhibition and its parallel events took place in Salamanca (Spain) from November 2002 to January 2003.
openaire   +2 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

Insomnia Symptoms and Self-Regulated Eating Behavior in Hispanic Emerging Adults: An Exploration of Acculturative Stress

open access: yesBrain Sciences
Background/Objectives: Research regarding the relationship between insomnia symptoms and self-regulated eating behaviors in Hispanic populations is limited, particularly that pertaining to emerging adulthood (18–25 years old) and the potential role of ...
Ainsley A. Miller   +6 more
doaj   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios   +5 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

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