Results 81 to 90 of about 5,986,901 (283)
Endoplasmic reticulum stress response in nonalcoholic fatty liver disease
The prevalence of nonalcoholic fatty liver disease (NAFLD) has increased over the past few decades due to a rise in the incidence of Type 2 diabetes and obesity.
Arushana Ali, Kezhong Zhang
doaj +1 more source
Maternal age alters offspring lifespan, fitness, and lifespan extension under caloric restriction
Maternal age has a negative effect on offspring lifespan in a range of taxa and is hypothesized to influence the evolution of aging. However, the mechanisms of maternal age effects are unknown, and it remains unclear if maternal age alters offspring ...
Martha J. Bock +4 more
semanticscholar +1 more source
Machine Learning Applied to High Entropy Alloys under Irradiation
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour +8 more
wiley +1 more source
Paradigms and Postmodern Politics from an Islamic Perspective
The paradigm shifts from the 1950s to the 1980s in political science are best explained with reference to the encounter with the Other, an encounter which has three stages: first, the self-confident representation of the Other which is characteristic of ...
Eric A. Winkel
doaj +1 more source
Background Inappropriate gestational weight gain in pregnancy may negatively impact health outcomes for mothers and babies. While optimal gestational weight gain is often not acheived, effective counselling by antenatal health care providers is ...
Beth Murray-Davis +9 more
doaj +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
The share of technical thermoplastics is expected to grow further in the e‐mobility segment. In this study, a detailed temperature‐based tribological characterization of technical thermoplastics is performed. The tribological properties are discussed in terms of the dynamic mechanical properties of polymers at different ambient temperatures. A proof of
Harsha Raghuram +2 more
wiley +1 more source
BackgroundType 2 diabetes mellitus is highly prevalent in the Arab Gulf countries. Despite this, limited culturally-adapted lifestyle intervention studies have been conducted in this region.MethodsIn this culturally adapted 12-month cluster randomized ...
Habiba I Ali +12 more
doaj +1 more source
IntroductionHealth-related food choices are often influenced by two central attributes: food type (such as healthy vs. less healthy) and food quantity (such as large vs. small portions).
Eunho Kim, Yoon-Hee Kang
doaj +1 more source

