Results 81 to 90 of about 60,108 (204)
Detection of protein symmetry and structural rearrangements using secondary structure elements
Abstract Many proteins exhibit a degree of internal symmetry in their tertiary structure, including circular permutations. These characteristics play an important role in terms of the functional robustness of proteins against mutations, and are pivotal for the study of protein function and evolution.
Runfeng Lin, Sebastian E. Ahnert
wiley +1 more source
Sensor-Based Random Number Generator Seeding
Random number generators (RNGs) are the foundation of strong security and privacy measures. With an increasing number of smart devices being connected to the Internet, the demand for secure communication will only increase.
Siang Lee Hong, Chang Liu
doaj +1 more source
An analysis of RNG based turbulence models for homogeneous shear flow [PDF]
In a recent paper, the authors compared the performance of a variety of turbulence models including the k-epsilon model and the second-order closure model based on Renormalization Group (RNG) Methods.
Fitzmaurice, Nessan +2 more
core +1 more source
HISTAI: a valuable dataset with a valuable lesson
Abstract The application of artificial intelligence in computational pathology depends on both robust algorithms and high‐quality, clinically reliable data. Progress in this field has been limited by the scarcity of large, diverse, and well‐validated whole slide image (WSI) datasets.
Katherine J Hewitt +5 more
wiley +1 more source
Continuum Percolation in the Relative Neighborhood Graph
In the present study, we establish the existence of nontrivial site percolation threshold in the Relative Neighborhood Graph (RNG) for Poisson stationary point process with unit intensity in the ...
Billiot, Jean-Michel +2 more
core
A numerical investigation using 3D RANS simulations demonstrates significant effects of protuberance geometry—cubic, cylindrical, spherical, and conical—on shock‐induced thrust vectoring in supersonic nozzles. Cubic protuberances provide the maximum jet deflection (˜2°) with negligible thrust reduction.
Mohammadreza Soufivand +3 more
wiley +1 more source
The effect of Turbulence Models on Numerical Prediction of Air Flow within Street Canyons [PDF]
November 15-17 ...
Crowther, J, Mumovic, D, Stevanovic, Z
core
Abstract Over recent years, several deep learning (DL) models have been presented to predict colorectal cancer (CRC) patient survival directly from haematoxylin and eosin (H&E)‐stained routine whole‐slide images (WSIs). Unlike traditional studies that rely on manually defined histopathological features, weakly supervised DL allows training directly on ...
Nic G Reitsam +23 more
wiley +1 more source
Renormalization group analysis of turbulence [PDF]
The objective is to understand and extend a recent theory of turbulence based on dynamic renormalization group (RNG) techniques. The application of RNG methods to hydrodynamic turbulence was explored most extensively by Yakhot and Orszag (1986).
Smith, Leslie M.
core +1 more source
Abstract The rapid expansion of biodiversity data presents new opportunities to understand and forecast biosphere dynamics. However, disparate and dispersed data, taxonomic and geographic inconsistencies, pervasive quality issues, and a lack of reproducable workflows hinder synthesis, introduce biases and limit accurate assessment of biodiversity ...
Brian J. Enquist +38 more
wiley +1 more source

