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Life has most likely originated as a consequence of processes taking place in non-equilibrium conditions (e.g. in the proximity of deep-sea thermal vents) selecting states of matter that would have been otherwise unfavorable at equilibrium. Here we present a simple chemical network in which the selection of states is driven by the thermodynamic necessity of dissipating heat as rapidly as possible in the presence of a thermal gradient: states participating to faster reactions contribute the most to the dissipation rate, and are the most populated ones in non-equilibrium steady-state conditions. Building upon these results, we show that, as the complexity of the chemical network increases, the velocity of the reaction path leading to a given state determines its selection, giving rise to non-trivial localization phenomena in state space. A byproduct of our studies is that, in the presence of a temperature gradient, thermophoresis-like behavior inevitably appears depending on the transport properties of each individual state, thus hinting at a possible microscopic explanation of this intriguing yet still not fully understood phenomenon.
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http://dx.doi.org/10.1038/s42004-021-00454-w | DOI Listing |
J Org Chem
September 2025
State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Ocean and Life Sciences, Dalian University of Technology, Panjin 124221, P. R. China.
The Buchwald-Hartwig (B-H) reaction graph, a novel graph for deep learning models, is designed to simulate the interactions among multiple chemical components in the B-H reaction by representing each reactant as an individual node within a custom-designed reaction graph, thereby capturing both single-molecule and intermolecular relationship features. Trained on a high-throughput B-H reaction data set, B-H Reaction Graph Neural Network (BH-RGNN) achieves near-state-of-the-art performance with an score of 0.971 while maintaining low computational costs.
View Article and Find Full Text PDFJMIR Rehabil Assist Technol
September 2025
Department of Computer Science, Faculty of Technology, Art and Design, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Background: Over the past decade, the proportion of the world's population aged ≥65 years has grown exponentially, presenting significant challenges, such as social isolation and loneliness among this population. Assistive technologies have shown potential in enhancing the quality of life for older adults by improving their physical, cognitive, and communication abilities. Research has shown that smart televisions are user-friendly and commonly used among older adults.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Institute for Collaboration on Health, Intervention, and Policy, University of Connecticut, Storrs, CT, United States.
Background: Children in the United States have poor diet quality, increasing their risk for chronic disease burden later in life. Caregivers' feeding behaviors are a critical factor in shaping lifelong dietary habits. The Strong Families Start at Home/Familias Fuertes Comienzan en Casa (SFSH) was a 6-month, home-based, pilot randomized-controlled feasibility trial that aimed to improve the diet quality of 2-5-year-old children and promote positive parental feeding practices among a predominantly Hispanic/Latine sample.
View Article and Find Full Text PDFHum Reprod
September 2025
Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.
Study Question: Does weight loss from a hypocaloric dietary intervention improve antral follicle dynamics in women with PCOS?
Summary Answer: During a 3-month hypocaloric dietary intervention, women with PCOS who experienced clinically meaningful weight loss showed more organized antral follicle development including fewer recruitment events, but no change in the overall frequency of selection, dominance, or ovulation.
What Is Known Already: There is a spectrum of disordered antral follicle development in women with PCOS including excessive follicle recruitment and turnover, decreased frequency of selection and dominance, and failure of ovulation. Lifestyle intervention aimed at weight loss is recommended to improve metabolic health in women with PCOS yet benefits on ovarian follicle development and ovulation are unclear.
JMIR AI
September 2025
Faculty of Medicine, Universidade Federal de Alagoas, Av. Lourival Melo Mota, S/n - Tabuleiro do Martins, Maceió, 57072-900, Brazil, 558232141461.
Background: Artificial intelligence (AI) has the potential to transform global health care, with extensive application in Brazil, particularly for diagnosis and screening.
Objective: This study aimed to conduct a systematic review to understand AI applications in Brazilian health care, especially focusing on the resource-constrained environments.
Methods: A systematic review was performed.