The Universidad Católica del Uruguay Dámaso Antonio Larrañaga is a private university in Uruguay opened in 1985 . It was the only private university in the country for 11 years until 1996. It is named after Dámaso Antonio Larrañaga.Its main campus is located in Montevideo and 2 other campuses in Maldonado and Salto. Wikipedia.
Gehrke S.A.,Catholic University of Uruguay |
Neto H.L.,University of Sao Paulo |
Mardegan F.E.C.,University of Sao Paulo
British Journal of Oral and Maxillofacial Surgery | Year: 2013
We have compared the results of the external irrigation technique with those of a double irrigation technique with continuous intermittent movement. Maximum thermal measurements were made in the cortical part of 10 samples of bovine ribs during osteotomy to simulate the preparation of a surgical bed for the installation of dental implants at a depth of 10 mm. Twenty specimens were drilled for each group: external irrigation and continuous movement (control group 1, CG1); external irrigation and intermittent movement (control group 2, CG2); double irrigation and continuous movement (test group 1, TG1); and double irrigation and intermittent movement (test group 2, TG2). The double irrigation technique gave significantly better results regardless of the drilling movement used. Thermal increases between samples was 19.2% in group CG1, 10.4% in CG2, 5.4% in TG1, and 3.4% in TG2. The double irrigation technique produced a significantly smaller increase in temperature in the cortical bone during both types of drilling (p = 0.001), which illustrated its greater efficiency compared with that of the external irrigation technique. © 2013 The British Association of Oral and Maxillofacial Surgeons.
Noma A.,University of Sao Paulo |
Pardo A.,Catholic University of Uruguay |
Cesar Jr. R.M.,University of Sao Paulo
Pattern Recognition Letters | Year: 2011
2D electrophoresis is a well-known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation and the goal is to perform a differential analysis between pairs of images to study changes in protein content. It is thus necessary to register two images by finding spot correspondences. Although it may seem a simple task, generally, the manual processing of this kind of images is very cumbersome, especially when strong variations between corresponding sets of spots are expected (e.g. strong non-linear deformations and outliers). In order to solve this problem, this paper proposes a new quadratic assignment formulation together with a correspondence estimation algorithm based on graph matching which takes into account the structural information between the detected spots. Each image is represented by a graph and the task is to find a maximum common subgraph. Successful experimental results using real data are presented, including an extensive comparative performance evaluation with ground-truth data. © 2010 Elsevier B.V. All rights reserved.
Amer A.,Santa Clara University |
Long D.D.E.,University of California at Santa Cruz |
Thomas Schwarz S.J.,Catholic University of Uruguay
2014 International Conference on Computing, Networking and Communications, ICNC 2014 | Year: 2014
As we move towards data centers at the exascale, the reliability challenges of such enormous storage systems are daunting. We demonstrate how such systems will suffer substantial annual data loss if only traditional reliability mechanisms are employed. We argue that the architecture for exascale storage systems should incorporate novel mechanisms at or below the object level to address this problem. Our argument for such a research focus is that focusing solely on the device level will not scale, and in this study we analytically evaluate how rapidly this problem manifests. © 2014 IEEE.
Lecumberry F.,University of the Republic of Uruguay |
Pardo A.,Catholic University of Uruguay |
Sapiro G.,University of Minnesota
IEEE Transactions on Image Processing | Year: 2010
Shape models (SMs), capturing the common features of a set of training shapes, represent a new incoming object based on its projection onto the corresponding model. Given a set of learned SMs representing different objects classes, and an image with a new shape, this work introduces a joint classification-segmentation framework with a twofold goal. First, to automatically select the SM that best represents the object, and second, to accurately segment the image taking into account both the image information and the features and variations learned from the online selected model. A new energy functional is introduced that simultaneously accomplishes both goals. Model selection is performed based on a shape similarity measure, online determining which model to use at each iteration of the steepest descent minimization, allowing for model switching and adaptation to the data. High-order SMs are used in order to deal with very similar object classes and natural variability within them. Position and transformation invariance is included as part of the modeling as well. The presentation of the framework is complemented with examples for the difficult task of simultaneously classifying and segmenting closely related shapes, such as stages of human activities, in images with severe occlusions. © 2010 IEEE.
Da Silva Neto U.T.,Postgraduate Program in Implantology of APCD |
Joly J.C.,University of Campinas |
Gehrke S.A.,Catholic University of Uruguay
British Journal of Oral and Maxillofacial Surgery | Year: 2014
We used resonance frequency analysis to evaluate the implant stability quotient (ISQ) of dental implants that were installed in sites prepared by either conventional drilling or piezoelectric tips. We studied 30 patients with bilateral edentulous areas in the maxillary premolar region who were randomised to have the implant inserted with conventional drilling, or with piezoelectric surgery. The stability of each implant was measured by resonance frequency analysis immediately after placement to assess the immediate stability (time 1) and again at 90 days (time 2) and 150 days (time 3). In the conventional group the mean (SD) ISQ for time 1 was 69.1 (6.1) (95% CI 52.4-77.3); for time 2, 70.7 (5.7) (95% CI 60.4-82.8); and for time 3, 71.7 (4.5) (95% CI 64.2-79.2). In the piezosurgery group the corresponding values were: 77.5 (4.6) (95% CI 71.1-84.3) for time 1, 77.0 (4.2) (95% CI, 69.7-85.2) for time 2, and 79.1 (3.1) (95% CI 74.5-87.3) for time 3. The results showed significant increases in the ISQ values for the piezosurgery group at each time point (p = 0.04). The stability of implants placed using the piezoelectric method was greater than that of implants placed using the conventional technique. © 2013 The British Association of Oral and Maxillofacial Surgeons.
Rossel C.,Catholic University of Uruguay
Voluntas | Year: 2016
This paper analyzes some aspects of the third sector’s involvement process in the provision of public social services. Using evidence garnered in previous research based on in-depth interviews, I offer elements toward an assessment of the consequences this process has produced not only in terms of the gains and losses it has produced for social policy, but also for the very identity and constitutive characteristics of the third sector. The evidence hereby compiled strengthens skepticism toward the hypothesis that sees a transformative potential in the role of the third sector in social policy in Latin America. This skepticism arises from issues detected by involved actors themselves and that are linked to the weakness of the sector as a whole. © 2015, International Society for Third-Sector Research and The Johns Hopkins University.
Dodel M.,Catholic University of Uruguay
Electronic Journal of Information Systems in Developing Countries | Year: 2015
This paper explores the inequalities in the Uruguayan education-to-work transition at the light of new technological determinants: the skills needed for critical and autonomous use of Information and Communications Technologies (ICT) or e-skills. While important cumulative experience exists regarding the increasing diversification of formal education and labor market pathways and its serious consequences for the process of Uruguay's social inequality reproduction, none of them relates to the role of ICTs. The central hypothesis presented here argues that even after controlling the factors traditionally associated with unequal pathways, such as social class, gender, cognitive skills, educational attainment and labor history, there is an additional explanatory component of ICT on occupational attainment at the first stages of education-to-work-transitions. With this objective in mind, nested logistic models were fitted, using a longitudinal survey with a representative panel of a sub-sample of the Programme for International Student Assessment (PISA) tests. Findings tend to corroborate the hypothesis, showing a statistically significant effect of digital skills attained until the age of 15/16 on white collar occupational achievements at the age of 19/20. Based on the model's results public policy implications for ICT training are discussed.
Suarez-Antola R.,Catholic University of Uruguay
Advanced Materials Research | Year: 2014
Clay, rocks, concrete and other composite solids show evidence of a hierarchical structure. A fractal tree of nested viscoelastic boxes is proposed to describe the elastic after-effects in these composite solids. A generalized fractal transmission line approach is developed to relate the strain and stress responses. Power law for strain, under an applied stress step, is derived. The exponent in the power law is obtained as a well-defined function of the branching numbers and scaling parameters of the viscoelastic hierarchy. Then, a composite solid with both instantaneous (linear) elastic strain response and power law type (linear) elastic after-effect for an applied stress step, is considered. The stretched exponential stress relaxation to an applied strain step is derived as an approximation. For the same composite solid, the stretch parameter of the stretched exponential and the exponent of the power law result to be equal to each other. © (2014) Trans Tech Publications, Switzerland.
Dodel M.,Catholic University of Uruguay
ACM International Conference Proceeding Series | Year: 2016
The purpose of this study is to investigate the determinants of governmental online services' use. Extensive digital divide literature's findings show that the chances of using online services - governmental in this case- vary extremely from one population group to another. Consequently, the groups that already accumulate several socioeconomic and digital advantages are the ones with considerably higher chances to enjoy the benefits of online services, thus perpetuating the rich-get-richer circle of inequalities. This document tries to present empirical evidence about this phenomenon in Latin America, using a nationally representative sample of 15 years and older Uruguayan Internet users, based on the World Internet Project + Uruguay 2013 survey. A binary logistic model regressing the chances of having ever used online governmental services is developed, taking into account stratification and digital divide hypotheses. Findings show that socioeconomic status (highest education level achieved, and adult ages), digital divide variables (more years since started using the Internet and daily frequency of use) and ownership of electronic means of payment are strong predictors of e-services' use. Simulations are developed to demonstrate how diverse ideal type-like Internet users have strikingly different probabilities of engaging with online governmental services. The document ends discussing the role of public policies to reduce the regressive externalities of e-government investments in a context of high social and digital stratification, presenting some of the initiatives the Uruguayan government has already developed to promote digital inclusion as good study cases. © 2016 ACM.
Pardo A.,Catholic University of Uruguay
Pattern Recognition Letters | Year: 2011
Image denoising is probably one of the most studied problems in the image processing community. Recently a new paradigm on non-local denoising was introduced. The non-local means method proposed by Buades, Morel and Coll computes the denoised image as a weighted average of pixels across the whole image. The weight between pixels is based on the similarity between neighborhoods around them. This method attracted the attention of other researchers who proposed improvements and modifications to it. In this work we analyze those methods trying to understand their properties while connecting them to segmentation based on spectral properties of the graph that represents the similarity of neighborhoods of the image. We also propose a method to automatically estimate the parameters which produce the optimal results in terms of mean square error and perceptual quality. © 2011 Elsevier B.V. All rights reserved.