Automated model-based testing based on an agnostic-platform modeling language

Currently multiple Domain Specific Languages (DSLs) are used for model-driven software development, in some specific domains. Software development methods, such as agile development, are test-centered, and their application in model-based frameworks requires model support for test development. We introduce a specific language to define generic test models, which can be automatically transformed into executable tests for particular testing platforms. The resulting test models represent the test plan for applications also built according to a model-based approach. The approach presented here includes some customisations for the application of the developed languages and transformation tools for some specific testing platforms. These languages and tools have been integrated with some specific DSL designed for software development

Marco activo de recursos de innovación docente: Madrid

Una guía de espacios e instituciones para actividades educativas complementarias en enseñanza secundaria y Formación Profesional

Spatiotemporal Characteristics of the Largest HIV-1 CRF02_AG Outbreak in Spain: Evidence for Onward Transmissions

Background and Aim: The circulating recombinant form 02_AG (CRF02_AG) is the predominant clade among the human immunodeficiency virus type-1 (HIV-1) non-Bs with a prevalence of 5.97% (95% Confidence Interval-CI: 5.41–6.57%) across Spain. Our aim was to estimate the levels of regional clustering for CRF02_AG and the spatiotemporal characteristics of the largest CRF02_AG subepidemic in Spain.Methods: We studied 396 CRF02_AG sequences obtained from HIV-1 diagnosed patients during 2000–2014 from 10 autonomous communities of Spain. Phylogenetic analysis was performed on the 391 CRF02_AG sequences along with all globally sampled CRF02_AG sequences (N = 3,302) as references. Phylodynamic and phylogeographic analysis was performed to the largest CRF02_AG monophyletic cluster by a Bayesian method in BEAST v1.8.0 and by reconstructing ancestral states using the criterion of parsimony in Mesquite v3.4, respectively.Results: The HIV-1 CRF02_AG prevalence differed across Spanish autonomous communities we sampled from (p < 0.001). Phylogenetic analysis revealed that 52.7% of the CRF02_AG sequences formed 56 monophyletic clusters, with a range of 2–79 sequences. The CRF02_AG regional dispersal differed across Spain (p = 0.003), as suggested by monophyletic clustering. For the largest monophyletic cluster (subepidemic) (N = 79), 49.4% of the clustered sequences originated from Madrid, while most sequences (51.9%) had been obtained from men having sex with men (MSM). Molecular clock analysis suggested that the origin (tMRCA) of the CRF02_AG subepidemic was in 2002 (median estimate; 95% Highest Posterior Density-HPD interval: 1999–2004). Additionally, we found significant clustering within the CRF02_AG subepidemic according to the ethnic origin.Conclusion: CRF02_AG has been introduced as a result of multiple introductions in Spain, following regional dispersal in several cases. We showed that CRF02_AG transmissions were mostly due to regional dispersal in Spain. The hot-spot for the largest CRF02_AG regional subepidemic in Spain was in Madrid associated with MSM transmission risk group. The existence of subepidemics suggest that several spillovers occurred from Madrid to other areas. CRF02_AG sequences from Hispanics were clustered in a separate subclade suggesting no linkage between the local and Hispanic subepidemics

Mecanismos de compensación de variabilidad en memorias a nivel de sistema = Variability compensation mechanisms for system-level memory management

Tesis de la Universidad Complutense de Madrid, Facultad de Informática, Departamento de Arquitectura de Computadores y Automática, leída el 08-02-2012. Texto en inglés y españolDepto. de Arquitectura de Computadores y AutomáticaFac. de InformáticaTRUEpu

Uso y gestión de objetos de aprendizaje en la web

El proyecto “ Uso y gestión de objetos de aprendizaje en un entorno Web” se ha desarrollado en la asignatura Sistemas Informáticos. Tiene como objetivo el desarrollo de la versión 0.0 del Museo Virtual García Santesmases de la Facultad de Informática de la Universidad Complutense de Madrid. Las características más importantes que se encuentran implementadas en la aplicación se centran en la necesidad de utilizar todo el material del que dispone el museo con fines educativos. Esto implica que todos los “objetos” del museo estén organizados y relacionados para facilitar la visita e investigación de alumnos, profesores e investigadores. Otras de las características más importantes que se ha tratado es proporcionar mecanismos al museo para que los usuarios accedan a la información sin necesidad de estar en el museo, y la transportabilidad de la información que compone el museo entre sistemas de características similares. [ABSTRACT] The proyect called “Use and Management of Learning Objects in the Web” has been developed into the subject “Sistemas Informáticos”. The main target is the development of the fisrt version of the “Virtual García Santesmases Museum” located at the School of Computer Science of the Complutense University of Madrid. The most important features implemented in the aplication are related to use all the available data of the Museum for educational purposes. This means that the “objects” must be organized and bound to provide the visit and research of the student, professors, and researchers. In addition, the museum supplies the users with procedures to move data between systems that understand the same standards used to organize the data

Sars-Cov-2 Infection in Patients on Long-Term Treatment with Macrolides in Spain: A National Cross-Sectional Study

The aim of this study was to know the prevalence and severity of COVID-19 in patients treated with long-term macrolides and to describe the factors associated with worse outcomes. A cross-sectional study was conducted in Primary Care setting. Patients with macrolides dispensed continuously from 1 October 2019 to 31 March 2020, were considered. Main outcome: diagnosis of coronavirus disease-19 (COVID-19). Secondary outcomes: symptoms, severity, characteristics of patients, comorbidities, concomitant treatments. A total of 3057 patients met the inclusion criteria. Median age: 73 (64–81) years; 55% were men; 62% smokers/ex-smokers; 56% obese/overweight. Overall, 95% of patients had chronic respiratory diseases and four comorbidities as a median. Prevalence of COVID-19: 4.8%. This was in accordance with official data during the first wave of the pandemic. The most common symptoms were respiratory: shortness of breath, cough, and pneumonia. Additionally, 53% percent of patients had mild/moderate symptoms, 28% required hospital admission, and 19% died with COVID-19. The percentage of patients hospitalized and deaths were 2.6 and 5.8 times higher, respectively, in the COVID-19 group (p < 0.001). There was no evidence of a beneficial effect of long-term courses of macrolides in preventing SARS-CoV-2 infection or the progression to worse outcomes in old patients with underlying chronic respiratory diseases and a high burden of comorbidity