Bello M.,University of Caribe |
Becerril-Montekio V.M.,Instituto Nacional Of Salud Publica
Salud Publica de Mexico | Year: 2011
This paper describes the health system of Argentina. This system has three sectors: public, social security and private. The public sector includes the national and provincial ministries as well as the network of public hospitals and primary health care units which provide care to the poor and uninsured population. This sector is financed with taxes and payments made by social security beneficiaries that use public health care facilities. The social security sector or Obras Sociales (OS) covers all workers of the formal economy and their families. Most OS operate through contracts with private providers and are financed with payroll contributions of employers and employees. Finally, the private sector includes all those private providers offering services to individuals, OS beneficiaries and all those with private health insurance. This sector also includes private insurance agencies called Prepaid Medicine Enterprises, financed mostly through premiums paid by families and/or employers. This paper also discusses some of the recent innovations implemented in Argentina, including the program Remediar.
Pacheco J.R.,University of Caribe |
Roman D.T.,CINVESTAV |
Cruz H.T.,University of Quintana Roo
Mathematical Problems in Engineering | Year: 2012
Classification of processes as stationary or nonstationary has been recognized as an important and unresolved problem in the analysis of scaling signals. Stationarity or nonstationarity determines not only the form of autocorrelations and moments but also the selection of estimators. In this paper, a methodology for classifying scaling processes as stationary or nonstationary is proposed. The method is based on wavelet Tsallis q -entropies and particularly on the behaviour of these entropies for scaling signals. It is demonstrated that the observed wavelet Tsallis q -entropies of 1 / f signals can be modeled by sum-cosh apodizing functions which allocates constant entropies to a set of scaling signals and varying entropies to the rest and that this allocation is controlled by q. The proposed methodology, therefore, differentiates stationary signals from non-stationary ones based on the observed wavelet Tsallis entropies for 1/f signals. Experimental studies using synthesized signals confirm that the proposed method not only achieves satisfactorily classifications but also outperforms current methods proposed in the literature. © 2012 Julio Ramirez Pacheco et al.
Ramirez-Pacheco J.C.,University of Caribe |
Rizo-Dominguez L.,University of Guadalajara |
Cortez-Gonzalez J.,Sonora Institute of Technology
Entropy | Year: 2015
Long-memory processes, in particular fractional Gaussian noise processes, have been applied as models for many phenomena occurring in nature. Non-stationarities, such as trends, mean level-shifts, etc., impact the accuracy of long-memory parameter estimators, giving rise to biases and misinterpretations of the phenomena. In this article, a novel methodology for the detection and location of mean level-shifts in stationary long-memory fractional Gaussian noise (fGn) signals is proposed. It is based on a joint application of the wavelet-Tsallis q-entropy as a preprocessing technique and a peak detection methodology. Extensive simulation experiments in synthesized fGn signals with mean level-shifts confirm that the proposed methodology not only detects, but also locates level-shifts with high accuracy. A comparative study against standard techniques of level-shift detection and location shows that the technique based on wavelet-Tsallis q-entropy outperforms the one based on trees and the Bai and Perron procedure, as well. © 2015 by the authors.
Lara O.D.,University of South Florida |
Prez A.J.,University of South Florida |
Labrador M.A.,University of South Florida |
Posada J.D.,University of Caribe
Pervasive and Mobile Computing | Year: 2012
This paper presents Centinela, a system that combines acceleration data with vital signs to achieve highly accurate activity recognition. Centinela recognizes five activities: walking, running, sitting, ascending, and descending. The system includes a portable and unobtrusive real-time data collection platform, which only requires a single sensing device and a mobile phone. To extract features, both statistical and structural detectors are applied, and two new features are proposed to discriminate among activities during periods of vital sign stabilization. After evaluating eight different classifiers and three different time window sizes, our results show that Centinela achieves up to 95.7% overall accuracy, which is higher than current approaches under similar conditions. Our results also indicate that vital signs are useful to discriminate between certain activities. Indeed, Centinela achieves 100% accuracy for activities such as running and sitting, and slightly improves the classification accuracy for ascending compared to the cases that utilize acceleration data only. © 2011 Elsevier B.V. All rights reserved.
Duran J.,University of Caribe |
Perez V.,University of Caribe
Proceedings of the 2015 IEEE 35th Central American and Panama Convention, CONCAPAN 2015 | Year: 2015
A city is smart when the social investment, human resources, communications and the building infrastructure, coexist harmoniously and systematically through the use of Information and Communication Technologies (ICT), which generates better quality of life and natural resources efficient management through the citizens participation. In Latin America and the Caribbean region some countries implement smart city model, those are: Santiago de Chile, México City, Bogota, Medellín, Buenos Aires, Rio de Janeiro, Curitiba and Montevideo. In Caracas, there is a need to modernize the technological infrastructure in order to integrate new elements to ease and automate processes and therefore offer more comfort to the population; with the development of Intelligent and Ecological Capital be reached Caracas will provide the facilities to offer multiple services with the latest technologies. © 2015 IEEE.
Hernandez Ortiz H.,University of Caribe |
Fulda J.S.,701 West 177th Street and 21
Journal of Pragmatics | Year: 2012
We show how the problem of strengthening the antecedent which is both formally valid and yet often intuitively invalid, concessive conditionals, and conditional rhetorical questions fit into the theory of conditional elements put forth in Fulda (2010). © 2011.
Herrera A.,University of Caribe |
Bone D.,Simon Bolivar University of Venezuela
Latin American Journal of Aquatic Research | Year: 2011
The influence of riverine outputs from the Tuy River on the coastal processes of near sandy beaches was assessed by measuring the physical and chemical characteristics of water and sediment samples at eight sites along the north central Venezuelan coast and from the rivers that flow through this region into the sea (Tuy, Capaya, Curiepe) during two field surveys. In addition, the behavior of the Tuy River discharge plume was evaluated using remote sensors, and its effect on the population abundance and size structure of the clam Tivela mactroides was determined. Of the three rivers evaluated, the Tuy River had the highest impact on the coastal zone (789.15 ± 190.63 km2) in terms of flow rate (246.39 m3 s-1), nutrients (659.61 ± 503.27 g s-1 total nitrogen; 52 ± 53.09 g s-1 total phosphorus) and sedimentary material (9320.84 ± 9728.15 g s-1). The variables measured (salinity, total nitrogen and phosphorus, pH, turbidity, and total organic carbon) showed a spatial gradient along the coast. Tivela mactroides had the highest biomass and density (9126.8 ± 1562 g m-2; 9222.22 ± 1976.72 ind m-2) at the sites farthest from the river mouths and smaller sizes (< 13 mm long) at sites close to the river mouths. The Tuy River plume modifies the functioning of the coastal system processes by discharging large amounts of nutrients and sedimentary material into the water column, which are then distributed by marine currents and alongshore transport. These contributions are used by T. mactroides populations, which show high abundances and differentiation in size structure along this coastline.
Romero V.M.,University of Caribe |
Cerezo E.,University of Caribe |
Garcia M.I.,University of Caribe |
Sanchez M.H.,University of Caribe
Energy Procedia | Year: 2014
This paper presents the results of simulation and validation of vanilla drying process in an indirect solar dryer prototype for 50 kg capacity designed and constructed at Universidad del Caribe in Cancún, México. This work arises from the necessity of the vanilla agriculturists from the State of Quintana Roo to have a solar dryer capable of preserving the properties of the vanilla obtained with the traditional drying method. In previous work, simulation results are presented which showed only changes of airflow properties through the solar dryer prototype without vanilla. In this study, also are presented results from the drying tests for the vanilla pods. © 2014 The Authors Published by Elsevier Ltd.
Trejo-Sanchez J.A.,University of Caribe |
Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2012 | Year: 2012
In this paper we present a time optimal self-stabilizing algorithm for the maximal 2-packing in a cactus graph. The cactus is a network topology such that any edge belongs to at most one cycle. The cactus has important applications in telecommunication networks, location problems, biotechnology, among others. The execution time of this algorithm is proportional to the diameter of the cactus. To the best of our knowledge, this algorithm outperforms current algorithms presented in the literature for this problem and in this topology. © 2012 IEEE.
Sansores C.E.,University of Caribe |
Reyes-Ramirez F.,University of Caribe |
Calderon-Aguilera L.E.,Research Center Cientifica Educacion Superior Of Ensenada |
Gomez H.F.,University of Caribe
Ecological Informatics | Year: 2016
There is a growing demand for "end-to-end" models, which are modeling tools used to analyze and understand the fundamental complexities of marine ecosystems and processes emerging from the interaction of individuals from different trophic groups with respect to the physical environment and, even, human activity. These models are valuable quantitative tools for ecosystem-based management. To explore potential answers to complex questions regarding ecosystems using these models, it is necessary to incorporate classical ontogenic changes through the life cycle of target individuals, in addition to inherited behavioral strategies, as an additional differentiating aspect, particularly when the behavior has a direct impact on the ecosystem phenomena under study. However, it is difficult to combine different fine scale time and spatial granularities to infer animal behavior and ontogenic development. This complexity has kept these two levels of analysis separated, because most current tools do not have the required computational resources and advanced software architecture. To address this issue, we propose an individual-based modeling framework that is capable of handling and unifying the two experimental categories with a comprehensive biological and behavioral model that strictly adheres to the physiological functions of ingestion, growth, and metabolism of organisms. In addition, this model incorporates the exchange and transfer of mass and energy through local interactions at all trophic levels (lower to higher), the physical environment, and anthropogenic activity. For the framework to model short time events, such as classical predator-prey interactions, while also generating long-term ecosystem emergent properties, a special interleaving scheduling engine and physical space computer model was devised, which optimizes memory and processing resources. The framework was tested through several experiments with a three-population ecosystem containing up to 40 thousand organisms evolving inside a 200,000m2 simulation environment during 12,000 model-hours; yet, requiring only a few hours of program execution on a regular personal computer. The model included various environmental physical elements, such as several hundred shelters, the number of which can be easily modified in each experiment to simulate substrate degradation and its impact on populations. With the aid of the quantitative and qualitative tools provided by the model, it was possible to observe a coupling between prey and predator population dynamics. In conclusion, we confirmed that the end-to-end model developed here could successfully generate detailed specific hypotheses about fish behavior and quantify impacts on population dynamics. © 2016 Elsevier B.V.