Results 201 to 210 of about 30,626 (312)

Quantitative Characterization of Gravel Bed Structures Using 2DSSFs and Machine Learning‐Based Surrogate Surface Generation

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Accurate characterization of gravel structures is essential for understanding riverbed roughness, flow resistance, and sediment transport. However, quantifying the definitive characteristics of these gravel structures remains challenging due to the inherent complexity of particle spatial arrangement. This study presents an improved statistical
Jie Qin, Teng Wu
wiley   +1 more source

Scattering from `Babinet' particles (or not…): spherical particles made up of spheres and spherical particles with spherical voids

open access: yesJournal of Applied Crystallography, Volume 59, Issue 1, Page 59-68, February 2026.
Small‐angle scattering form factors of composite particles built from either embedded spheres or randomly distributed voids within a sphere are obtained by Monte Carlo simulations, and analytical expressions that reproduce the simulations are derived.The small‐angle scattering form factors of two classes of composite particles with contrasting internal
Jan Skov Pedersen   +2 more
wiley   +1 more source

A complex network perspective on brain disease

open access: yesBiological Reviews, Volume 101, Issue 1, Page 364-399, February 2026.
ABSTRACT If brain anatomy and dynamics have a complex network structure as it has become standard to posit, it is reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and whether at least some pathologies can be ...
David Papo, Javier M. Buldú
wiley   +1 more source

Informational Efficiency in Cryptocurrency Markets: A Bibliometric and Thematic Literature Review (2015–2024)

open access: yesJournal of Economic Surveys, Volume 40, Issue 1, Page 443-468, February 2026.
ABSTRACT Cryptocurrency markets are known for their wide price fluctuations, lack of central control, and fast‐paced development. These characteristics present serious challenges to traditional theories about how markets work and how prices reflect available information.
Giulia Fantini, Joy Jia, Chiara Oldani
wiley   +1 more source

Home - About - Disclaimer - Privacy