Sensory traits are associated with global differences in the pupillary light reflex waveform in young adults. [PDF]
Kanari K, Tsutsumi T.
europepmc +1 more source
Quantitative asymptotics for polynomial patterns in the primes
Abstract We prove quantitative estimates for averages of the von Mangoldt and Möbius functions along polynomial progressions n+P1(m),…,n+Pk(m)$n+P_1(m),\ldots, n+P_k(m)$ for a large class of polynomials Pi$P_i$. The error terms obtained save an arbitrary power of logarithm, matching the classical Siegel–Walfisz error term.
Lilian Matthiesen +2 more
wiley +1 more source
Crack detection in structural images using a hybrid Swin Transformer and enhanced features representation block. [PDF]
Anusha N, Anbarasi LJ.
europepmc +1 more source
Are West African Heat‐Lows Analogous to Dry Tropical Cyclones?
Heat‐lows qualitatively resemble dry tropical cyclones (TCs), though their underlying physics has yet to be compared. In this study, we show that West African transient heat‐low climatology correlates well with TC potential intensity generalised over land.
Aaron Kruskie +2 more
wiley +1 more source
Singularity in nonlinear systems: differential inclusion model for the standard and transformed fractional pantograph equation. [PDF]
Mobayen S +4 more
europepmc +1 more source
Shallow Modeling and Site‐Amplification From Telecommunications Fibers in Istanbul
Abstract We use pre‐existing fiber‐optic telecommunications fibers in Istanbul, Türkiye, to generate a seismic velocity model of the subsurface down to 100 m depth, and estimate site‐amplification in the region. We collect ambient noise, predominantly from urban traffic, along the 8 km segment fiber, extract Rayleigh wave dispersion curves, and use a ...
Daniel Bowden +9 more
wiley +1 more source
Automatic Retinal Nerve Fiber Segmentation and the Influence of Intersubject Variability in Ocular Parameters on the Mapping of Retinal Sites to the Pointwise Orientation Angles. [PDF]
Luján Villarreal D, Vera-Tizatl AL.
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Digital image correlation technique for the kinematic assessment of laser system optomechanical mounts. [PDF]
Pisonero J +5 more
europepmc +1 more source

