Results 31 to 40 of about 1,970,939 (305)

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

open access: yesFEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Synergizing physics and machine learning for advanced battery management

open access: yesCommunications Engineering
Improving battery health and safety motivates the synergy of a powerful duo: physics and machine learning. Through seamless integration of these disciplines, the efficacy of mathematical battery models can be significantly enhanced.
Manashita Borah   +4 more
doaj   +1 more source

Fast and generalisable parameter-embedded neural operators for lithium-ion battery simulation

open access: yesEnergy and AI
Digital twins of lithium-ion batteries are increasingly used to enable predictive monitoring, control, and design at system scale. Increasing their capabilities involves improving their physical fidelity while maintaining sub-millisecond computational ...
Amir Ali Panahi   +5 more
doaj   +1 more source

An Information Theoretic Evaluation of Software Metrics for Object Lifetime Prediction [PDF]

open access: yes, 2008
Accurate object lifetime prediction can be exploited by allocators to improve the performance of generational garbage collection by placing immortal or long-lived objects directly into immortal or old generations.
Watson, Ian   +6 more
core  

Genetic prediction of lifetime risk of fracture_Appendix.docx

open access: yes, 2023
This is the appendix for the manuscript entitled "Genetic prediction of lifetime risk of fracture"
Thach Tran (15214864)
core   +1 more source

The human gut microbiome across the life course

open access: yesFEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero   +4 more
wiley   +1 more source

In‐Vitro Electrochemical Prelithiation: A Key Performance‐Boosting Strategy for Carbon Nanotube‐Containing Silicon‐Based Negative Electrodes in Li‐Ion Batteries

open access: yesChemElectroChem
Prelithiation technology has emerged as an enabling approach towards the practical deployment of Silicon negative electrode‐based Li‐Ion batteries, leading to significant advancement in initial Coulombic efficiency (ICE), energy density and cycle life ...
Leyla Ünal   +3 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Data-driven modeling of open circuit voltage hysteresis for LiFePO4 batteries with conditional generative adversarial network

open access: yesEnergy and AI
The hysteresis effect represents the difference in open circuit voltage (OCV) between the charge and discharge processes of batteries. An accurate estimation of open circuit voltage considering hysteresis is critical for precise modeling of LiFePO4 ...
Lisen Yan   +6 more
doaj   +1 more source

A covariance-based test for shared frailty in multivariate lifetime data [PDF]

open access: yes, 2012
We decompose the score statistic for testing for shared finite variance frailty in multivariate lifetime data into marginal and covariance-based terms.
Kimber, Alan, Sarker, Shah-Jalal
core   +1 more source

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