761 research outputs found
Incidencia de idiomas populares en la lengua española con Big Data: análisis masivo de datos mediante Amazon Elastic MapReduce y Google N-grams
La presente tesina analiza, diseña e implementa una solución para el problema de la detección de neologismos y extranjerismos en la lengua Española. Para este fin, realizamos un análisis de investigaciones previas y problemáticas surgidas, y decidimos realizar un aporte mediante un sistema de cloud computing.
Nuestra solución se centra en el uso de tecnologías de análisis masivo de datos para el tratamiento de corpus grandes de una manera eficiente. Realizamos un repaso general de las tecnologías existentes, sin especificar herramientas puntuales, para luego introducir herramientas concisas. Logramos alcanzar una solución sencilla pero eficaz y escalable mediante el uso de herramientas provistas por Amazon Web Services, utilizando el corpus público llamado Google Books Ngrams.
Finalmente, abrimos la posibilidad de utilizar otras herramientas, y la misma metodología en otro tipo de estudios. Demostramos que logramos un aporte a la comunidad de lingüística computacional, y seguiremos trabajando en el tema en cuestión.Facultad de Informátic
Community Mortality due to Respiratory Syncytial Virus in Argentina: Population-based surveillance study
Background. Many deaths in infants from low-middle income countries (LMICs) occur at home or upon arrival to health facilities. Although acute lower respiratory tract illness plays an important role in community mortality, the accuracy of mortality rates due to respiratory syncytial virus (RSV) remains unknown.
Methods. An active surveillance study among children aged under 5 years old (U5) was performed in Buenos Aires, Argentina, between January and December 2019, to define the burden and role of RSV in childhood community mortality.
Results. A total of 63 families of children U5 participated in the study. Based on a combined approach of tissue sampling, verbal autopsies, and expert’s analysis, RSV infection was found in the causal chain of 11 from 12 cases with positive molecular biology results in respiratory samples. The estimated mortality rate due to RSV among infants was 0.27 deaths/1000 live births. The mean age of RSV-related household deaths was 2.8 months of age (standard deviation [SD] 1.7), and 8/12 were male infants (66.7%). Dying at home from RSV was associated with Streptococcus pneumoniae and/or Moraxella catarrhalis lung coinfection (75%), living in slums and settlement (odds ratio [OR], 17.09; 95% confidence interval [CI], 1.3–219.2), and other underlying comorbidities (OR, 14.87; 95% CI, 1.3–164.6).
Conclusions. Infant community mortality rates due to RSV are higher than those reported in industrialized countries and similar to those reported in hospital-based studies in the same catchment population.Fil: Caballero, Mauricio Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Bianchi, Alejandra Silvina. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Diaz Grigaites, Sebastian. Gobierno de la Provincia de Buenos Aires. Ministerio Publico. Ministerio Publico Fiscal. Instituto de Ciencias Forenses de Lomas de Zamora.; ArgentinaFil: de la Iglesia Niveyro, Paola Ximena. Hospital Italiano; ArgentinaFil: Nuño, Alejandra. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Valle, Sandra. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Afarian, Gabriela. Gobierno de la Provincia de Buenos Aires. Ministerio Publico. Ministerio Publico Fiscal. Instituto de Ciencias Forenses de Lomas de Zamora.; ArgentinaFil: Esperante, Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Ferreti, Adrián. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Jares Baglivo, Sofía. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: De Luca, Julián. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Álvarez Paggi, Damián Jorge. Comisión Nacional de Investigación Científica y Tecnológica; Chile. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Diamanti, Adriana. Gobierno de la Provincia de Buenos Aires. Ministerio Publico. Ministerio Publico Fiscal. Instituto de Ciencias Forenses de Lomas de Zamora.; ArgentinaFil: Bassat, Quique. Universidad de Barcelona; España. Centro de investigação de Saúde de Manhiça; Mozambique. Institució Catalana de Recerca i Estudis Avancats; España. Hospital Sant Joan de Deu Barcelona; España. Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública; EspañaFil: Polack, Fernando Pedro. Fundación para la Investigación en Infectología Infantil; Argentin
Uso de tecnologías digitales en el diseño de una autoevaluación formativa en el curso de Genética General de la Facultad de Ciencias Veterinarias
Los nuevos planteamientos curriculares en la universidad demandan una integración de los contenidos, saberes y una actitud renovada de los docentes frente a las estrategias metodológicas, hechos estos que evocan la evaluación formativa como la manera más propia de acompañar el aprendizaje y la enseñanza. En la FCV- UNLP, las nuevas tecnologías de la información y comunicación (TIC), se comenzaron a utilizar ampliamente en los últimos cinco años para mejorar los modelos formativos y organizativos que sustentan el aprendizaje. El curso Genética General de la Carrera de Ciencias Veterinarias- UNLP (Plan 406/04) se concibe como la base del conocimiento de la Genética y el individuo. El objetivo fue diseñar una autoevaluación virtual optativa, utilizando el entorno virtual Moodle. A partir de los conceptos desarrollados por los docentes, se diseño un cuestionario con 20 preguntas del tipo opciones múltiples; respuesta corta; de emparejamiento y verdadero o falso. Sobre un total de 193 (100%) alumnos, 85 (44%) resolvieron el cuestionario; 47 (55%) aprobaron. En una Universidad presencial, el uso de tecnologías digitales como herramienta pedagógica representa una propuesta innovadora, se utiliza como complemento de las actividades curriculares presenciales.Facultad de Ciencias Veterinaria
Early high-titer plasma therapy to prevent severe Covid-19 in older adults
BACKGROUND: Therapies to interrupt the progression of early coronavirus disease 2019 (Covid-19) remain elusive. Among them, convalescent plasma administered to hospitalized patients has been unsuccessful, perhaps because antibodies should be administered earlier in the course of illness. METHODS We conducted a randomized, double-blind, placebo-controlled trial of convalescent plasma with high IgG titers against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in older adult patients within 72 hours after the onset of mild Covid-19 symptoms. The primary end point was severe respiratory disease, defined as a respiratory rate of 30 breaths per minute or more, an oxygen saturation of less than 93% while the patient was breathing ambient air, or both. The trial was stopped early at 76% of its projected sample size because cases of Covid-19 in the trial region decreased considerably and steady enrollment of trial patients became virtually impossible. RESULTS A total of 160 patients underwent randomization. In the intention-to-treat population, severe respiratory disease developed in 13 of 80 patients (16%) who received convalescent plasma and 25 of 80 patients (31%) who received placebo (relative risk, 0.52; 95% confidence interval [CI], 0.29 to 0.94; P = 0.03), with a relative risk reduction of 48%. A modified intention-to-treat analysis that excluded 6 patients who had a primary end-point event before infusion of convalescent plasma or placebo showed a larger effect size (relative risk, 0.40; 95% CI, 0.20 to 0.81). No solicited adverse events were observed. CONCLUSIONS Early administration of high-titer convalescent plasma against SARS-CoV-2 to mildly ill infected older adults reduced the progression of Covid-19. (Funded by the Bill and Melinda Gates Foundation and the Fundación INFANT Pandemic Fund; Dirección de Sangre y Medicina Transfusional del Ministerio de Salud number, PAEPCC19, Plataforma de Registro Informatizado de Investigaciones en Salud number, 1421, and ClinicalTrials.gov number, NCT04479163.).Fil: Libster, Romina Paula. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Pérez Marc, Gonzalo. Hospital Militar Central, Buenos Aires; ArgentinaFil: Wappner, Diego. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Coviello, Silvina Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Bianchi, Alejandra. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Braem, Virginia. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Esteban, Ignacio. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Caballero, Mauricio Tomás. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Wood, Cristian. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Berrueta, Mabel. Hospital Militar Central; ArgentinaFil: Rondan, Aníbal. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Lescano, Gabriela Mariel. Hospital Dr. Carlos Bocalandro; ArgentinaFil: Cruz, Pablo. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Ritou, Yvonne. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Fernández Viña, Valeria Silvina. Hospital Simplemente Evita; ArgentinaFil: Álvarez Paggi, Damián Jorge. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Esperante, Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Bioquímicas de Buenos Aires. Fundación Instituto Leloir. Instituto de Investigaciones Bioquímicas de Buenos Aires; ArgentinaFil: Ferreti, Adrián. Hospital Dr. Carlos Bocalandro; ArgentinaFil: Ofman, Gaston. University of Oklahoma; Estados UnidosFil: Ciganda, Álvaro. Gobierno de la Provincia de Buenos Aires. Hospital Interzonal Especializado de Agudos y Cronicos San Juan de Dios.; ArgentinaFil: Rodriguez, Rocío. Hospital Simplemente Evita; ArgentinaFil: Lantos, Jorge. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Valentini, Ricardo. No especifíca;Fil: Itcovici, Nicolás. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Hintze, Alejandra. No especifíca;Fil: Oyarvide, M. Laura. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Etchegaray, Candela. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Neira, Alejandra. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Name, Ivonne. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Alfonso, Julieta. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Swiss Medical Group; ArgentinaFil: López Castelo, Rocío. Centro de Educación Médica e Investigaciones Clínicas "Norberto Quirno"; ArgentinaFil: Caruso, Gisela. Hospital Militar Central; ArgentinaFil: Rapelius, Sofía. Hospital Militar Central; ArgentinaFil: Alvez, Fernando. Hospital Militar Central; ArgentinaFil: Etchenique, Federico. Hospital Militar Central; ArgentinaFil: Dimase, Federico. Hospital Militar Central; ArgentinaFil: Alvarez, Darío. Hospital Militar Central; ArgentinaFil: Aranda, Sofía S.. Hospital Militar Central; ArgentinaFil: Sánchez Yanotti, Clara Inés. Hospital Militar Central; ArgentinaFil: De Luca, Julián. Hospital Militar Central; ArgentinaFil: Jares Baglivo, Sofía. Hospital Militar Central; ArgentinaFil: Laudanno, Sofía. Fundación Hematológica Sarmiento; ArgentinaFil: Nowogrodzki, Florencia. Swiss Medical Group; ArgentinaFil: Larrea, Ramiro. Hospital Municipal San Isidro; ArgentinaFil: Silveyra, María. Hospital Militar Central; ArgentinaFil: Leberzstein, Gabriel. No especifíca;Fil: Debonis, Alejandra. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Molinos, Juan. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: González, Miguel. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Perez, Eduardo. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Kreplak, Nicolás. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Pastor Argüello, Susana. Fundación para la Investigación en Infectología Infantil; ArgentinaFil: Gibbons, Luz. Hospital Municipal de San Isidro; ArgentinaFil: Althabe, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; ArgentinaFil: Bergel, Eduardo. Sanatorio Sagrado Corazón; ArgentinaFil: Polack, Fernando Pedro. Provincia de Buenos Aires. Ministerio de Salud; Argentin
A deletion and a duplication in distal 22q11.2 deletion syndrome region. Clinical implications and review
<p>Abstract</p> <p>Background</p> <p>Individuals affected with DiGeorge and Velocardiofacial syndromes present with both phenotypic diversity and variable expressivity. The most frequent clinical features include conotruncal congenital heart defects, velopharyngeal insufficiency, hypocalcemia and a characteristic craniofacial dysmorphism. The etiology in most patients is a 3 Mb recurrent deletion in region 22q11.2. However, cases of infrequent deletions and duplications with different sizes and locations have also been reported, generally with a milder, slightly different phenotype for duplications but with no clear genotype-phenotype correlation to date.</p> <p>Methods</p> <p>We present a 7 month-old male patient with surgically corrected ASD and multiple VSDs, and dysmorphic facial features not clearly suggestive of 22q11.2 deletion syndrome, and a newborn male infant with cleft lip and palate and upslanting palpebral fissures. Karyotype, FISH, MLPA, microsatellite markers segregation studies and SNP genotyping by array-CGH were performed in both patients and parents.</p> <p>Results</p> <p>Karyotype and FISH with probe N25 were normal for both patients. MLPA analysis detected a partial <it>de novo </it>1.1 Mb deletion in one patient and a novel partial familial 0.4 Mb duplication in the other. Both of these alterations were located at a distal position within the commonly deleted region in 22q11.2. These rearrangements were confirmed and accurately characterized by microsatellite marker segregation studies and SNP array genotyping.</p> <p>Conclusion</p> <p>The phenotypic diversity found for deletions and duplications supports a lack of genotype-phenotype correlation in the vicinity of the LCRC-LCRD interval of the 22q11.2 chromosomal region, whereas the high presence of duplications in normal individuals supports their role as polymorphisms. We suggest that any hypothetical correlation between the clinical phenotype and the size and location of these alterations may be masked by other genetic and/or epigenetic modifying factors.</p
Psicología social y moral de COVID-19 en 69 países
La pandemia de COVID-19 ha afectado a todos los ámbitos de la vida humana, incluido el tejido económico y social de las sociedades. Una de las estrategias centrales para gestionar la salud pública a lo largo de la pandemia ha sido el envío de mensajes persuasivos y el cambio de comportamiento colectivo. Para ayudar a los estudiosos a comprender mejor la psicología social y moral que subyace al comportamiento en materia de salud pública, presentamos un conjunto de datos compuesto por 51.404 individuos de 69 países. Este conjunto de datos se recopiló para el proyecto de la Colaboración Internacional en Psicología Social y Moral de COVID-19 (ICSMP COVID-19). Esta encuesta de ciencias sociales invitó a participantes de todo el mundo a completar una serie de medidas morales y psicológicas y actitudes de salud pública sobre COVID-19 durante una fase temprana de la pandemia de COVID-19 (entre abril y junio de 2020). La encuesta incluía siete grandes categorías de preguntas: Creencias sobre COVID-19 y conductas de cumplimiento; identidad y actitudes sociales; ideología; salud y bienestar; creencias morales y motivación; rasgos de personalidad; y variables demográficas. Presentamos los datos brutos y depurados, junto con todos los materiales de la encuesta, las visualizaciones de los datos y las evaluaciones psicométricas de las variables clave.The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.Peer reviewe
Les droits disciplinaires des fonctions publiques : « unification », « harmonisation » ou « distanciation ». A propos de la loi du 26 avril 2016 relative à la déontologie et aux droits et obligations des fonctionnaires
The production of tt‾ , W+bb‾ and W+cc‾ is studied in the forward region of proton–proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98±0.02 fb−1 . The W bosons are reconstructed in the decays W→ℓν , where ℓ denotes muon or electron, while the b and c quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions.The production of , and is studied in the forward region of proton-proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98 0.02 \mbox{fb}^{-1}. The bosons are reconstructed in the decays , where denotes muon or electron, while the and quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions
National identity predicts public health support during a global pandemic (vol 13, 517, 2022) : National identity predicts public health support during a global pandemic (Nature Communications, (2022), 13, 1, (517), 10.1038/s41467-021-27668-9)
Publisher Copyright: © The Author(s) 2022.In this article the author name ‘Agustin Ibanez’ was incorrectly written as ‘Augustin Ibanez’. The original article has been corrected.Peer reviewe
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National identity predicts public health support during a global pandemic.
Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics
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