Browsing by Author "Gonzalez, M."

Now showing 1 - 4 of 4
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    Fuzzy Inference System for Predicting Functional Service Life of Concrete Pavements in Airports
    (2022) Prieto, A. J.; Guinez, F.; Ortiz, M.; Gonzalez, M.
    Concerning one of the most important tasks of road structure management is the development of methods to predict their own functional or physical service life, which allows for objectively evaluating the state of road structures that are being considered or are already in operation with minimal labor and monetary incomes. Fuzzy logic systems constitute one successful methodology used for the valuation of pavement degradation. The clustering that focuses on pavement degradation conditions is normally performed by a visual inspection or using data collected by automated distress measurement equipment. Fuzzy sets theory provides different advantages for including a certain degree of uncertainty in the pavement performance index, subjective analysis, and maintenance assessments and can greatly improve consistency and reduce subjectivity in the degradation process. The main objective of this study was to develop a new fuzzy logic-based model to predict the functional service life of concrete pavement conditions and maintenance action evaluations concerning the airport network of Vina del Mar, Central Chile, and using pavement distress data from the Directorate of Airports, Ministry of Public Works of Chile. The proposed fuzzy logic model can be remarkably beneficial for design, construction, and maintenance, to evaluate design decisions for the measurable and objective valuation of deviations in the quality of construction, and for timely forecasting work based on continuous observing of the current infrastructure system.
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    Genetic structure based on EST–SSR: a putative tool for fruit color selection in Japanese plum (Prunus salicina L.) breeding programs
    (2016) Gonzalez, M.; Salazar, E.; Castillo, J.; Morales, P.; Mura, I.; Maldonado, J.; Silva M., Hugo; Carrasco Gálvez, Basilio Alejandro
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    In the general hospital
    (2006) Gonzalez, M.; Calderon, J.; Olguin, P.; Flores, J. L.; Ramirez, S.
    Psychosocial factors play an important role in the clinical practice in the general hospital. The main objective of this study is to evaluate the relevance assigned by non psychiatry physicians who work in a teaching general hospital, to psychosocial factors in the context of their day-to-day clinical practice, and the coping strategies they adopt to deal with them. A second objective is to assess the evaluation of the Consultation-Liaison (C-L) service in a teaching hospital.
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    QUBIC I: Overview and science program
    (2022) Hamilton, J. -Ch.; Mousset, L.; Battistelli, E. S.; de Bernardis, P.; Bigot-Sazy, M. -A.; Chanial, P.; Charlassier, R.; D'Alessandro, G.; De Petris, M.; Lerena, M. M. Gamboa; Grandsire, L.; Landau, S.; Mandelli, S.; Marnieros, S.; Masi, S.; Mennella, A.; O'Sullivan, C.; Piat, M.; Ricciardi, G.; Scoccola, C. G.; Stolpovskiy, M.; Tartari, A.; Torchinsky, S. A.; Voisin, F.; Zannoni, M.; Ade, P.; Alberro, J. G.; Almela, A.; Amico, G.; Arnaldi, L. H.; Auguste, D.; Aumont, J.; Azzoni, S.; Banfi, S.; Bau, A.; Belier, B.; Bennett, D.; Berge, L.; Bernard, J. -Ph.; Bersanelli, M.; Bonaparte, J.; Bonis, J.; Bunn, E.; Burke, D.; Buzi, D.; Cavaliere, F.; Chapron, C.; Cerutti, A. C. Cobos; Columbro, F.; Coppolecchia, A.; De Gasperis, G.; De Leo, M.; Dheilly, S.; Duca, C.; Dumoulin, L.; Etchegoyen, A.; Fasciszewski, A.; Ferreyro, L. P.; Fracchia, D.; Franceschet, C.; Ganga, K. M.; Garcia, B.; Redondo, M. E. Garcia; Gaspard, M.; Gayer, D.; Gervasi, M.; Giard, M.; Gilles, V.; Giraud-Heraud, Y.; Berisso, M. Gomez; Gonzalez, M.; Gradziel, M.; Hampel, M. R.; Harari, D.; Henrot-Versille, S.; Incardona, F.; Jules, E.; Kaplan, J.; Kristukat, C.; Lamagna, L.; Loucatos, S.; Louis, T.; Maffei, B.; Marty, W.; Mattei, A.; May, A.; McCulloch, M.; Mele, L.; Melo, D.; Montier, L.; Mundo, L. M.; Murphy, J. A.; Murphy, J. D.; Nati, F.; Olivieri, E.; Oriol, C.; Paiella, A.; Pajot, F.; Passerini, A.; Pastoriza, H.; Pelosi, A.; Perbost, C.; Perciballi, M.; Pezzotta, F.; Piacentini, F.; Piccirillo, L.; Pisano, G.; Platino, M.; Polenta, G.; Prele, D.; Puddu, R.; Rambaud, D.; Rasztocky, E.; Ringegni, P.; Romero, G. E.; Salum, J. M.; Schillaci, A.; Scully, S.; Spinelli, S.; Stankowiak, G.; Supanitsky, A. D.; Thermeau, J. -P.; Timbie, P.; Tomasi, M.; Tucker, C.; Tucker, G.; Vigano, D.; Vittorio, N.; Wicek, F.; Wright, M.; Zullo, A.
    The Q & U Bolometric Interferometer for Cosmology (QUBIC) is a novel kind of polarimeter optimized for the measurement of the B-mode polarization of the Cosmic Mi-crowave Background (CMB), which is one of the major challenges of observational cosmology. The signal is expected to be of the order of a few tens of nK, prone to instrumental system-atic effects and polluted by various astrophysical foregrounds which can only be controlled through multichroic observations. QUBIC is designed to address these observational issues with a novel approach that combines the advantages of interferometry in terms of control of instrumental systematic effects with those of bolometric detectors in terms of wide-band, background-limited sensitivity. The QUBIC synthesized beam has a frequency-dependent shape that results in the ability to produce maps of the CMB polarization in multiple sub-bands within the two physical bands of the instrument (150 and 220 GHz). These features make QUBIC complementary to other instruments and makes it particularly well suited to characterize and remove Galactic foreground contamination. In this article, first of a series of eight, we give an overview of the QUBIC instrument design, the main results of the calibration campaign, and present the scientific program of QUBIC including not only the measurement of primordial B-modes, but also the measurement of Galactic foregrounds. We give forecasts for typical observations and measurements: with three years of integration on the sky and assuming perfect foreground removal as well as stable atmospheric conditions from our site in Argentina, our simulations show that we can achieve a statistical sensitivity to the effective tensor-to-scalar ratio (including primordial and foreground B-mo des) Sigma(r) = 0.015.