Global slowness and increased intra-individual variability are key features of attentional deficits and cognitive fluctuations in post COVID-19 patients. [PDF]
Ortelli P +7 more
europepmc +1 more source
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
Inter- and Intra-Individual Variability of Personal Health Risk of Combined Particle and Gaseous Pollutants across Selected Urban Microenvironments. [PDF]
Hossain S, Che W, Lau AK.
europepmc +1 more source
An ultrasound‐activatable piezoelectric hydrogel reprograms chondrocyte mitochondrial epigenetics via the mTOR/GATD3A axis, clearing damaged mitochondria and alleviating osteoarthritis progression in both mouse models and human cartilage explants. ABSTRACT The avascular nature of cartilage hinders drug delivery for osteoarthritis (OA) therapy.
Hui Zheng +9 more
wiley +1 more source
Intra-individual variability of plasma cholesterol concentrations.
L G, Howes, H, Krum
openaire +2 more sources
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Implications of Intra-Individual Variability in Motor Performance on Functional Mobility in Stroke Survivors. [PDF]
Lodha N +4 more
europepmc +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Ferroelectric Catalysts in the Hydrogen Evolution Reaction: A Perspective
This perspective summarizes recent advances in ferroelectric (FE) catalysts for the hydrogen evolution reaction (HER). It first introduces HER fundamentals and FE mechanisms, then classifies FE catalysts into single‐phase, single‐atom‐modified, heterostructured, and other engineered types, with representative examples.
Rongxuan Lu +6 more
wiley +1 more source
Sensitivity analysis for time-to-event data accounting for intra-individual variability in time-varying covariates with missing data. [PDF]
Liaqat M +5 more
europepmc +1 more source

