Computer Science Faculty
Computer Science Faculty
Rio O.,Technical University of Madrid |
Rio O.,CSIC - Eduardo Torroja Institute for Construction Science |
Rodriguez A.,Association for the Research and Industrial Development of Natural Resources AITEMIN |
Alvarez M.,Computer Science Faculty
ACI Materials Journal | Year: 2011
This paper presents an on-site control-by-sensors methodology, a nondestructive measuring means to obtain the main tribological parameters for concrete pumpability quality control (QC). Special emphasis is made on the accumulated knowledge of the different' closed-loop circuit pumping experiments, which confirm that for actual concrete pumping conditions, some simplifying assumptions can be made to model the laws of the flow-pressure relationship. The simplifying solution refers to a mathematical expression similar to the Bingham plastic model, which considers the corresponding constants of yield stress and plastic viscosity. It also considers the multiplying factor of the tribological effect of the boundary layer. Assuming the simplifying conditions, the constants can be established for a given mixture, pump, and pumping environment. Experiments confirm that this is a promising procedure to obtain the constants and its suitability for QC, as they are very sensitive to the changes while a mixture is being pumped. Copyright © 2011, American Concrete Intitute. All rights reserved.
Martin M.A.,Complutense University of Madrid |
Reyes M.,Computer science Faculty |
Taguas F.J.,Complutense University of Madrid
Mathematics and Computers in Simulation | Year: 2015
In a large number of physical, biological and environmental processes interfaces with high irregular geometry appear separating media (phases) in which the heterogeneity of constituents is present. In this work the quantification of the interplay between irregular structures and surrounding heterogeneous distributions in the plane is made For a geometric set A ⊂ R2 and a mass distribution (measure) μ supported in S ⊂ R2, being ⊂S, the mass μ(A(ε)) gives account of the interplay between the geometric structure and the surrounding distribution. A computation method is developed for the estimation and corresponding scaling analysis of μ(A(ε)), being A a fractal plane set of Minkowski dimension D and μ a multifractal measure produced by random multiplicative cascades. The method is applied to natural and mathematical fractal structures in order to study the influence of both, the irregularity of the geometric structure and the heterogeneity of the distribution, in the scaling of μ(A(ε)). Applications to the analysis and modeling of interplay of phases in environmental scenarios are given. © 2014 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
Gonzalez-Diaz H.,University of Santiago de Compostela |
Prado-Prado F.,University of Santiago de Compostela |
Garcia-Mera X.,University of Santiago de Compostela |
Alonso N.,University of Santiago de Compostela |
And 10 more authors.
Journal of Proteome Research | Year: 2011
Many drugs with very different affinity to a large number of receptors are described. Thus, in this work, we selected drug-target pairs (DTPs/nDTPs) of drugs with high affinity/nonaffinity for different targets. Quantitative structure-activity relationship (QSAR) models become a very useful tool in this context because they substantially reduce time and resource-consuming experiments. Unfortunately, most QSAR models predict activity against only one protein target and/or they have not been implemented on a public Web server yet, freely available online to the scientific community. To solve this problem, we developed a multitarget QSAR (mt-QSAR) classifier combining the MARCH-INSIDE software for the calculation of the structural parameters of drug and target with the linear discriminant analysis (LDA) method in order to seek the best model. The accuracy of the best LDA model was 94.4% (3,859/4,086 cases) for training and 94.9% (1,909/2,012 cases) for the external validation series. In addition, we implemented the model into the Web portal Bio-AIMS as an online server entitled MARCH-INSIDE Nested Drug-Bank Exploration & Screening Tool (MIND-BEST), located at http://miaja.tic.udc.es/Bio-AIMS/MIND-BEST.php. This online tool is based on PHP/HTML/Python and MARCH-INSIDE routines. Finally, we illustrated two practical uses of this server with two different experiments. In experiment 1, we report for the first time a MIND-BEST prediction, synthesis, characterization, and MAO-A and MAO-B pharmacological assay of eight rasagiline derivatives, promising for anti-Parkinson drug design. In experiment 2, we report sampling, parasite culture, sample preparation, 2-DE, MALDI-TOF and -TOF/TOF MS, MASCOT search, 3D structure modeling with LOMETS, and MIND-BEST prediction for different peptides as new protein of the found in the proteome of the bird parasite Trichomonas gallinae, which is promising for antiparasite drug targets discovery. © 2010 American Chemical Society.
Escalera M.F.P.,Computer Science Faculty |
Chavez M.A.L.,Computer Science Faculty
CCE 2012 - 2012 9th International Conference on Electrical Engineering, Computing Science and Automatic Control | Year: 2012
This paper proposes a model of a standard application programming interface (API) for common services used by cloud applications. It aims to homogenize the development over clouds in order to ease portability. The model includes the analysis, design and implementation using the Unified Modeling Language (UML). The paper discusses also quality criteria for its evaluation. © 2012 IEEE.