Results 151 to 160 of about 22,053 (245)
The Anatomical Record, Volume 309, Issue 4, Page 826-852, April 2026.Bioimaging of the sense organs and brain of fishes and reptiles. Left panel: 3D reconstruction of the head and brain of the deep‐sea viperfish Chauliodus sloani following diceCT. Right panel: A 3D reconstruction of a 70‐day‐old embryo head of the bearded dragon Pogona vitticeps following diceCT, showing the position of the segmented brain within the ...
Shaun P. Collin +9 more
wiley +1 more source
The Evolution of Large Organism Size: Disparate Physiologies Share a Foundation at the Smallest Physical Scales. [PDF]
Life (Basel)Pierce S.
europepmc +1 more source
Analysis of Multi‐Component Echo Decay in Achilles Tendon by NMR Spectroscopy
NMR in Biomedicine, Volume 39, Issue 4, April 2026.The Achilles tendon was modeled as a set of water‐filled nanocavities. Here, ζ denotes the angle between the main axis ZC of a nanocavity and the normal N to the sample surface; the normal is parallel to the magnetic field H0. The structural and dynamic parameters of the nanocavities were determined by analyzing the decay of a single NMR signal from ...
Theodore Aptekarev +3 more
wiley +1 more source
Development of novel symbolic regression models for prediction of nano filters efficiency using CFD and DPM. [PDF]
Sci RepTaghavi A, Farahani SD.
europepmc +1 more source
Packaging Technology and Science, Volume 39, Issue 4, Page 351-366, April 2026.This study aims to optimise the application methods of a biobased suspension of micro/nano cellulose fibrils from agro‐biomass subjected to high‐pressure homogenisation. Two methods were selected, bar coating (BC) and spray coating (SC), and were tested using an LF factorial design with 3 levels and 2 factors.
Andrea Feroce +2 more
wiley +1 more source
GeoFWI: A Large Velocity Model Data Set for Benchmarking Full Waveform Inversion Using Deep Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Full waveform inversion (FWI) plays an increasingly important role in the field of seismic imaging due to its strong ability to estimate subsurface properties. Specifically, data‐driven FWI (DDFWI) establishes a straightforward mapping relationship between seismic data and the corresponding velocity model, yielding promising results.
Chao Li +5 more
wiley +1 more source
Nonlinear kinematic impacts on nanofluid flow across rough surface with numerical simulation. [PDF]
Sci RepKhan A +8 more
europepmc +1 more source
Agents' Behavior and Interest Rate Model Optimization in DeFi Lending
Mathematical Finance, Volume 36, Issue 2, Page 374-396, April 2026.ABSTRACT Contrasting sharply with traditional money, bond, and bond futures markets, where interest rates emerge organically from participant interactions, DeFi lending platforms employ rule‐based interest rates that are algorithmically set. Thus, the selection of an effective interest rate model (IRM) is paramount for the success of a lending protocol.
Charles Bertucci +4 more
wiley +1 more source
Boosting microparticle tracking with neuromorphic cameras by optical modulation. [PDF]
Sci RepHuenchual-Escobar J +4 more
europepmc +1 more source
On the Mean‐Field Limit of Consensus‐Based Methods
Mathematical Methods in the Applied Sciences, Volume 49, Issue 5, Page 4214-4240, 30 March 2026.ABSTRACT Consensus‐based optimization (CBO) employs a swarm of particles evolving as a system of stochastic differential equations (SDEs). Recently, it has been adapted to yield a derivative free sampling method referred to as consensus‐based sampling (CBS). In this paper, we investigate the “mean‐field limit” of a class of consensus methods, including
Marvin Koß, Simon Weissmann, Jakob Zech
wiley +1 more source