Silva E.B.D.,Federal University of Goais |
Silva B.D.D.S.,Federal University of Goais |
Leon J.R.R.,University of Granma |
Kipnis A.,Federal University of Goais |
And 2 more authors.
Veterinary Journal | Year: 2011
This study evaluated the Mycobacterium tuberculosis protein antigen MPT-51, the trimeric antigen 85 (Ag85) complex, and Bacillus Calmette-Guérin (BCG) in an indirect ELISA to diagnose bovine tuberculosis (TB) from serum samples. Serum was collected from 208 intra-dermal tuberculin test (ITT)-positive and 54 ITT-negative animals from a region where bovine TB is endemic. Using the Ag85 and BCG antigens, the indirect ELISA was able to discriminate ITT-positive from ITT-negative animals. This level of discrimination was not achieved when using the MPT-51 antigen. The highest sensitivity (Se) and specificity (Sp) of the test was found when BCG was used (Se, 82%; Sp, 91%). Further work in different epidemiological settings and with larger numbers of animals will be required to validate these findings. © 2009 Elsevier Ltd.
Arevalo A.A.S.,University of Granma
Revista del Hospital Psiquiatrico de la Habana | Year: 2012
An interpretive methodological approach and elements of the research-action method were used in this research that shows the results of a study made with a group of families from Bayamo city which have a five years old or younger child with Down Syndrome (DS), with the objective of characterizing the significance of their birth. A purposeful and intensive, typical case sampling was chosen; 14 fathers and mothers were interviewed, 10 of them participated in the sessions of a Formative Group, guided by one coordinator and two observers, supervised by an expert in the planning, implementation and analysis of the intervention. The emergent topics detected aimed to the significance that has in the family the birth of a Down syndrome child; in the Formative Group some of these aspects and the difficulties in the functioning of the family were approached; the group reflection facilitated the incorporation of new analysis, cognitive and affective elements for the initiation of change processes in these families. Diagnostic Indicators of population, which according to their diagnostic and predictive importance, can be used in the design of other similar programs for community intervention linked to the Primary Health Care, Education, Community Extension among other, were identified, which is one of the most important value of this research.
Govea-Alcaide E.,University of Granma |
Machado I.F.,University of Sao Paulo |
Jardim R.F.,University of Sao Paulo
Journal of Applied Physics | Year: 2015
Pre-reacted powders of (Bi-Pb)2Sr2Ca2Cu3O10+ δ (Bi-2223) were consolidated by using the spark plasma sintering (SPS) technique under vacuum and at two different temperatures TD: 750 and 830 °C. The results indicate the occurrence of grains with core-shell morphology, where the shell is oxygen deficient. A post-annealing heat treatment (PAHT), performed in air, at 750 °C, and for a brief time interval, is responsible for a 10 to 25-fold increase in the transport superconducting current density at 77 K. The role of the oxygen-deficient shell, before and after the PAHT, was investigated by means of magnetic and transport measurements. We argue that the PAHT is two folds: (i) it is responsible for the decrease of the width of the oxygen-deficient shell, then increasing the oxygen content along the grain boundaries; (ii) it promotes the formation of conduction current paths along the grain boundaries of the SPS material. © 2015 AIP Publishing LLC.
Ghanbarian-Alavijeh B.,University of Tehran |
Ghanbarian-Alavijeh B.,Wright State University |
Millan H.,University of Granma |
Huang G.,China Agricultural University
Canadian Journal of Soil Science | Year: 2011
The soil water retention curve is an important hydraulic parameter for characterizing water flow and contaminant transport in porous media. Therefore, many empirical, semi physical, and physical models of the soil water retention curve have been proposed. Among them, fractal models appear to be a useful approach for modeling soil as a heterogeneous porous medium and its hydraulic characteristics. Fractal models are mathematically based, and their parameters have physical meanings. In this study, we review published fractal, prefractal and pore-solid-fractal models for soil water retention curves including Tyler and Wheatcraft, Rieu and Sposito, Perrier et al., Perfect, Bird et al., Millán and González-Posada, and Cihan et al. models. In the pore-solid fractal (PSF) approach the pore phase and matrix phase have a finite volume even for an infinite number of iterations. The results of fitting the PSF model to measured soil water retention data indicate that this model works well, particularly at lower water contents.
Frias-Blanco I.,University of Granma |
Del Campo-Avila J.,University of Malaga |
Ramos-Jimenez G.,University of Malaga |
Morales-Bueno R.,University of Malaga |
And 2 more authors.
IEEE Transactions on Knowledge and Data Engineering | Year: 2015
Incremental and online learning algorithms are more relevant in the data mining context because of the increasing necessity to process data streams. In this context, the target function may change over time, an inherent problem of online learning (known as concept drift). In order to handle concept drift regardless of the learning model, we propose new methods to monitor the performance metrics measured during the learning process, to trigger drift signals when a significant variation has been detected. To monitor this performance, we apply some probability inequalities that assume only independent, univariate and bounded random variables to obtain theoretical guarantees for the detection of such distributional changes. Some common restrictions for the online change detection as well as relevant types of change (abrupt and gradual) are considered. Two main approaches are proposed, the first one involves moving averages and is more suitable to detect abrupt changes. The second one follows a widespread intuitive idea to deal with gradual changes using weighted moving averages. The simplicity of the proposed methods, together with the computational efficiency make them very advantageous. We use a Naïve Bayes classifier and a Perceptron to evaluate the performance of the methods over synthetic and real data. © 1989-2012 IEEE.