The effect of air pollution on children’s health: a comparative study between La Plata and Bahía Blanca, Buenos Aires Province, Argentina

We present the results of a study of outdoor air quality in two comparable regions of Buenos Aires province (Argentina), La Plata and Bahía Blanca, developed jointly by researchers of National University in both cities, and of the Hospital of Bahía Blanca, between 2009 and 2011. Both regions are characterized by a large petrochemical complex and a village with outstanding traffic. In this study, we measure levels of volatile organic compounds (VOCs), particulate matter suspended in air (PM) in air outdoor and affectation of respiratory system in children between 6 and 12 years. Also, analysis of the effect of the air pollution exposure was done thought the calculation of potentially increased life time cancer risk (LCR) in children. In both regions, including three areas: urban, industrial and residential (reference area), 20 VOCs were sampled by passive monitoring (3M 3500), and determined by GC/FID, comprising n-alkanes, cycloalkanes, aromatics, chlorinated compounds, terpenoids and ketones; particulate matter (PM10) was token using a low flow sampler MiniVol TAS, and spirometry were performed, using a portable spirometer. The collected data show higher levels of PM10 in Bahía Blanca, both in the industrial zone and urban areas, industrial area of Bahía Blanca with very bad air quality, associable with a 5% increased in mortality. The levels of total VOCs found in the residential area for both regions are comparable. Spirometry parameters of children living in industrial area evidence respiratory disease respect to urban and residential areas.Fil: Colman Lerner, Jorge Esteban. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Morales, A.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Aguilar, M.. Universidad Nacional de La Plata. Fundación Ciencias Exactas; ArgentinaFil: Giuliani, Daniela Silvana. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Orte, Marcos Agustín. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ditondo, J.. Hospital Interzonal General de Agudos “Dr. José Penna”; ArgentinaFil: Dodero, Veronica Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Massolo, L.. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; ArgentinaFil: Sanchez, Erica Yanina. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Matamoros, N.. Universidad Nacional de La Plata. Facultad de Ingenieria; ArgentinaFil: Porta, A.. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentin

Modelo y simulación de regiones de afectación por un incidente químico

El rápido desarrollo industrial ofrece prosperidad y altos niveles de vida, sin embargo, la contaminación asociada a este desarrollo junto a los incidentes con materiales peligrosos sigue siendo motivo de preocupación y estudio. Generalmente, los errores humanos o las fallas de equipos crean condiciones propicias para la ocurrencia de un incidente. A tal efecto, la necesidad de conocer el riesgo potencial asociado a una descarga química impulsa el desarrollo de modelos matemáticos para estimar zonas vulnerables y evaluar los potenciales impactos en las poblaciones afectadas. Los autores consideran de suma importancia el desarrollo de metodologías y de modelos de aplicación directa al contexto en que vivimos, ya que los recursos limitados disponibles para la gestión requieren de un uso eficiente para una respuesta óptima. En tal sentido, toda mejora y optimización que contribuya a la menor sobreestimación de los daños potenciales en la población expuesta, resulta útil para la gestión integral de la emergencia al suministrar una idea más precisa de las consecuencias de un incidente. A través del modelo DDC se ha logrado optimizar la forma de estimar cuali y cuantitativamente la población afectada por una nube tóxica. El análisis temporal y la estimación progresiva que ofrece DDC permiten un enfoque más descriptivo y preciso que otras metodologías de uso corriente, contribuyendo además al mejor análisis del escenario y al conocimiento del tiempo disponible para la intervención oportuna. Por último, la modularidad de DDC permite tomar como entrada los datos de salida de cualquier modelo de transporte, logrando de este modo una aplicación versátil en todas las etapas de la gestión integral de emergencias.Centro de Investigaciones del Medioambient

ESC core curriculum for the general cardiologist (2013)

[No abstract available

Risk analysis of technological hazards: Simulation of scenarios and application of a local vulnerability index

The potential impact of a technological accident can be assessed by risk estimation. Taking this into account, the latent or potential condition can be warned and mitigated. In this work we propose a methodology to estimate risk of technological hazards, focused on two components. The first one is the processing of meteorological databases to define the most probably and conservative scenario of study, and the second one, is the application of a local social vulnerability index to classify the population. In this case of study, the risk was estimated for a hypothetical release of liquefied ammonia in a meat-packing industry in the city of La Plata, Argentina. The method consists in integrating the simulated toxic threat zone with ALOHA software, and the layer of sociodemographic classification of the affected population. The results show the areas associated with higher risks of exposure to ammonia, which are worth being addressed for the prevention of disasters in the region. Advantageously, this systemic approach is methodologically flexible as it provides the possibility of being applied in various scenarios based on the available information of both, the exposed population and its meteorology. Furthermore, this methodology optimizes the processing of the input data and its calculation.Centro de Investigaciones del MedioambienteCentro de Investigación y Desarrollo en Ciencias Aplicada

Inflammation and tissue repair markers distinguish the nodular sclerosis and mixed cellularity subtypes of classical Hodgkin's lymphoma

Background: Classical Hodgkin's lymphoma (cHL), although a malignant disease, has many features in common with an inflammatory condition. The aim of this study was to establish the molecular characteristics of the two most common cHL subtypes, nodular sclerosis (NS) and mixed cellularity (MC), based on molecular profiling and immunohistochemistry, with special reference to the inflammatory microenvironment. Methods: We analysed 44 gene expression profiles of cHL whole tumour tissues, 25 cases of NS and 19 cases of MC, using Affymetrix chip technology and immunohistochemistry. Results: In the NS subtype, 152 genes showed a significantly higher expression, including genes involved in extracellular matrix (ECM) remodelling and ECM deposition similar to wound healing. Among these were SPARC, CTSK and COLI. Immunohistochemistry revealed that the NS-related genes were mainly expressed by macrophages and fibroblasts. Fifty-three genes had a higher expression in the MC subtype, including several inflammation-related genes, such as C1Qα, C1Qβ and CXCL9. In MC tissues, the C1Q subunits were mainly expressed by infiltrating macrophages. Conclusions and interpretations: We suggest that the identified subtype-specific genes could reflect different phases of wound healing. Our study underlines the potential function of infiltrating macrophages in shaping the cHL tumour microenvironment

The effect of air pollution on children's health: A comparative study between La Plata and Bahía Blanca, Buenos Aires province, Argentina

We present the results of a study of outdoor air quality in two comparable regions of Buenos Aires province (Argentina); La Plata and Bahía Blanca, developed jointly by researchers of the National University in both cities, and of the Hospital of Bahía Blanca, between 2009 and 2011. Both regions are characterized by a large petrochemical complex and a village with outstanding traffic. In this study, we measure levels of volatile organic compounds (VOCs), particulate matter suspended in air (PM) in air outdoor and affectation of respiratory system in children between 6 and 12 years. Also, analysis of the effect of the air pollution exposure was made through the calculation of potentially increased life time cancer risk (LCR) in children. In both regions, including three areas: urban, industrial and residential (reference area), 20 VOCs were sampled by passive monitoring (3M 3500), and determined by GC/FID, comprising n-alkanes, cycloalkanes, aromatics, chlorinated compounds, terpenoids and ketones; particulate matter (PM10) was token using a low flow sampler MiniVol TAS, and spirometry were performed, using a portable spirometer. The collected data show higher levels of PM10 in Bahía Blanca, both in the industrial zone and urban areas, the industrial area of Bahía Blanca with very bad air quality, associable with a 5% increase in mortality. The levels of total VOCs found in the residential area for both regions are comparable. Spirometry parameters of children living in an industrial area evidence respiratory disease with respect to urban and residential areas.Facultad de Ciencias ExactasFacultad de Ingenierí

Constraints on the χ_(c1) versus χ_(c2) polarizations in proton-proton collisions at √s = 8 TeV

The polarizations of promptly produced χ_(c1) and χ_(c2) mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at √s=8  TeV. The χ_c states are reconstructed via their radiative decays χ_c → J/ψγ, with the photons being measured through conversions to e⁺e⁻, which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the χ_(c2) to χ_(c1) yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/ψ → μ⁺μ⁻ decay, in three bins of J/ψ transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the helicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum