Advanced Functional Materials, EarlyView.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
Morning Appointment Time Rather Than Training Load Affects Sleep During a Training Camp in Young Elite Rugby Union Players. [PDF]
Eur J Sport SciChauvineau M +6 more
europepmc +1 more source
Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
Advanced Functional Materials, EarlyView.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
Comparison of Weekly Training Load and Acute: Chronic Workload Ratio Methods to Estimate Change in Training Load in Running. [PDF]
J Athl TrainCloosterman KLA +5 more
europepmc +1 more source
Advanced Functional Materials, EarlyView.This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian +5 more
wiley +1 more source
A Muscle Physiology-Based Framework for Quantifying Training Load in Resistance Exercises. [PDF]
Sports (Basel)Imbach F, Perrey S, Brioche T, Candau R.
europepmc +1 more source
Advanced Functional Materials, EarlyView.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
Equity in training load: research design considerations for intervention assessment in sports science and physical therapy. [PDF]
Eur J Appl PhysiolKowalski T +3 more
europepmc +1 more source
Gourd‐Inspired Design of Unit Cell with Multiple Gradients for Physiological‐Range Pressure Sensing
Advanced Functional Materials, EarlyView.Gourd‐shaped micro‐dome arrays with coordinated modulus, conductivity, and geometric gradients co‐optimize sensitivity and linearity in piezoresistive tactile sensors. Under pressure, a solid upper dome embeds into a porous lower dome, triggering rapid contact‐area growth and series‐to‐parallel conduction, enabling unsaturated, intensity‐resolved ...
Jiayi Xu +6 more
wiley +1 more source
Weekly Fluctuations in Subjective and Objective Measures of Internal Training Load and Their Relationships in Male Elite Rowers. [PDF]
J Sports Sci MedDai X, Yan J, Bi X.
europepmc +1 more source