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StructMatrix: large-scale visualization of graphs by means of structure detection and dense matrices
(Institute of Electrical and Electronics Engineers – IEEEAtlantic City, 2015-11)
Given a large-scale graph with millions of nodes and edges, how to reveal macro patterns of interest, like cliques, bi-partite cores, stars, and chains? Furthermore, how to visualize such patterns altogether getting insights ...
Self interactive dark matter in large scale structure
(Universidad de Chile, 2016)
Cold Dark matter (ΛCDM) models have been remarkably successful to explain the observed large
scale structure of our universe on scales of the order of galaxy clusters (≥ 4 Mpc) and above (therefore
in this work we consider ...
Scaling of the 1-halo terms with bias
(2015-01-01)
In the Halo Model, galaxies are hosted by dark matter haloes, while the haloes themselves are biased tracers of the underlying matter distribution. Measurements of galaxy correlation functions include contributions both ...
Differential scaling of locomotor performance in small and large terrestrial mammals
(Company of Biologists Ltd, 2002)
It has been observed that the relationship between
locomotor performance and body mass in terrestrial
mammals does not follow a single linear trend when the entire range of body mass is considered. Large taxa tend to ...
Evaluation of students’ Noncognitive Large Scale Assessments measures: Problem Solving Experiences scale as a case study
(Universidad del Zulia, 2020)
Evaluation of students’ Noncognitive Large Scale Assessments measures: Problem Solving Experiences scale as a case study
(Universidad del Zulia, 2020)
A Vectorial DEVS Extension for Large Scale System Modeling and Parallel Simulation
(Sage Publications Ltd, 2014-03)
In this article we introduce an extension to the Discrete Event System (DEVS) formalism called Vectorial DEVS (VECDEVS) that allows to represent large scale systems in a graphic block diagram way. A pure VECDEVS model ...
Scaling-up of slurry reactors for the photocatalytic oxidation of cyanide with TiO2 and silica-supported TiO2 suspensions
(Elsevier Science, 2009-02)
A scaling-up methodology for the design of large-scale slurry reactors for the photocatalytic oxidation of cyanide is proposed. The only experimental information required to be determined at laboratory-scale is the intrinsic ...
Machine Learning Based Method for Estimating Energy Losses in Large-Scale Unbalanced Distribution Systems with Photovoltaics
In the recent years, the penetration of photovoltaics (PV) has obviously been increased in unbalanced power distribution systems. Driven by this trend, comprehensive simulation tools are required to accurately analyze ...