Results 251 to 260 of about 38,524 (343)
Solid‐state nanopores are used to interrogate dendrimer‐peptide conjugates with systematically varied peptide loading. Single‐particle ionic current signatures reveal how ligand density modulates deformability, transport pathways, and electromechanical coupling during translocation.
Chaoming Gu +7 more
wiley +1 more source
The intersection between logical empiricism and qualitative nursing research: a post-structuralist analysis. [PDF]
Salzmann-Erikson M.
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Artificial Intelligence Must Be Made More Scientific. [PDF]
Coveney PV, Highfield R.
europepmc +1 more source
Parallel wiring of bioelectrochemical devices with conventional generators unexpectedly boosts output. A biophotovoltaic paired with a solar cell delivers up to 50% more power at low loads than their separate contributions; a plant microbial fuel cell shows similar current gains.
Valeria Marsaglia +4 more
wiley +1 more source
Hydraulic geometry hypothesis allows reverse engineering of 3D quasi-equilibrium landscapes from 2D channel networks: Earth, Mars, Titan. [PDF]
Zhang L +5 more
europepmc +1 more source
Liquid metal direct writing is advanced from a technological and fundamental point. Utilizing a kinematic bed, printing on large surfaces with irregularities is enabled. Furthermore, a pressure‐driven flow during printing is discovered that affects the thickness of traces.
Maximilian Krack +15 more
wiley +1 more source
Statins, skeletal muscle, and ryanodine receptor activation: resolving a 30-year mystery behind statin myotoxicity. [PDF]
Santulli G.
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Keeping AI in medicine and radiology within the framework of scientific method: measuring to close the epistemic gap. [PDF]
Pesapane F, Sardanelli F.
europepmc +1 more source

