PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Correction: Inflammatory markers as potential mediators on the negative association between training load and bone mineral density in adolescent competitive swimmers: ABCD-growth study. [PDF]
Agostinete RR +7 more
europepmc +1 more source
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Protonic devices that couple ionic and electronic transport are demonstrated as bioinspired neuromorphic elements. The devices exhibit rubber‐like asymmetric memristive behavior with slow voltage‐driven conductance increase and rapid relaxation, enabling simplified read–write operation.
Nada H. A. Besisa +6 more
wiley +1 more source
External training load and rating of perceived exertion comparison between different playing styles and winning vs. losing matches in elite tennis. [PDF]
Tóth PJ +6 more
europepmc +1 more source
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim +10 more
wiley +1 more source
Exercise type, training load, velocity loss threshold, and sets affect the relationship between lifting velocity and perceived repetitions in reserve in strength-trained individuals. [PDF]
Paulsen G +3 more
europepmc +1 more source
Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan +9 more
wiley +1 more source
The Influence of Weekly Training Load on Match Physical Demands in Spanish Professional Soccer Players: A Full In-Season Study. [PDF]
Ponce-Bordón JC +6 more
europepmc +1 more source
Changes in ultrasound and bioelectrical-derived body composition parameters in response to training load during pre-season in professional male road cyclists. [PDF]
Giorgi A +4 more
europepmc +1 more source
Training Load and Post-Exercise Recovery Following Varied Game Intervals in 3x3 Basketball. [PDF]
Paulauskas R +3 more
europepmc +1 more source

