Results 61 to 70 of about 1,001,350 (314)
Measuring Large Scale Space Perception in Literary Texts
The center and radius of perception associated with a written text are defined, and algorithms for their computation are presented. Indicators for anisotropy in large scale space perception are introduced.
Rossi, Paolo
core +2 more sources
Cryptochrome and PAS/LOV proteins play intricate roles in circadian clocks where they act as both sensors and mediators of protein–protein interactions. Their ubiquitous presence in signaling networks has positioned them as targets for small‐molecule therapeutics. This review provides a structural introduction to these protein families.
Eric D. Brinckman +2 more
wiley +1 more source
Scale invariant Einstein-Cartan gravity and flat space conformal symmetry
We find the conditions under which scale-invariant Einstein-Cartan gravity with scalar matter fields leads to an approximate conformal invariance of the flat space particle theory up to energies of the order of the Planck mass.
Georgios K. Karananas +2 more
doaj +1 more source
A scale-based approach to finding effective dimensionality in manifold learning [PDF]
The discovering of low-dimensional manifolds in high-dimensional data is one of the main goals in manifold learning. We propose a new approach to identify the effective dimension (intrinsic dimension) of low-dimensional manifolds.
Marron, J. S., Wang, Xiaohui
core +5 more sources
In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka +11 more
wiley +1 more source
The CUG_CLMFM3D series comprises high-resolution three-dimensional lithospheric magnetic field models for China and its surroundings. The first version, CUG_CLMFM3Dv1, is a spherical cap harmonic model integrating the WDMAMv2 (World Digital Magnetic ...
Pan Zhang +7 more
doaj +1 more source
Computing an Exact Gaussian Scale-Space
Gaussian convolution is one of the most important algorithms in image processing. The present work focuses on the computation of the Gaussian scale-space, a family of increasingly blurred images, responsible, among other things, for the scale-invariance ...
Ives Rey Otero, Mauricio Delbracio
doaj +1 more source
Scale-Space Texture Analysis [PDF]
In this paper we propose a technique for classifying images by modelling features extracted at different scales. Specifically, we use texture measures derived from Pap smear cell nuclei images using grey level Co-occurrence Matrix (GLCM).
Bradley, Andrew P. +2 more
core
We study the asymptotic behavior of piecewise constant least squares regression estimates, when the number of partitions of the estimate is penalized. We show that the estimator is consistent in the relevant metric if the signal is in $L^2([0,1])$, the ...
Boysen, L. +8 more
core +4 more sources
Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source

