Prevalencia de factores de riesgo de enfermedad coronaria en trabajadores del Hospital General de México Prevalence of risk factors of coronary disease in personnel of the General Hospital of Mexico

Objetivo. Conocer la prevalencia de algunos factores de riesgo coronario en trabajadores de una institución de salud. Material y métodos. De 1993 a 1995 se evaluaron 2 228 trabajadores del Hospital General de México, 1 531 mujeres (68.7%) y 697 hombres (31.2%) con edades entre 16 a 65 años, y se les clasificó por áreas de trabajo: en Intendencia hubo 477 participantes (21.4%); en Administración, 697 (31.2%); en Personal Médico, 495 (22.2%), y en Enfermería, 559 (25.0%). Se les practicó historia clínica, mediciones antropométricas y determinación de glucosa, colesterol total, LDL, HDL y triglicéridos. Resultados. Trescientos sesenta y siete sujetos (14.9%) tenían colesterol por arriba de 240 mg/dl, con valores altos en las mujeres del área administrativa (17.1%) y en los hombres del departamento de enfermería (26%) que presentó la mayor tendencia (26%). Se encontraron niveles de triglicéridos por arriba de los 200 mg/dl en 471 personas (19.1%); obesidad, en 329 (13.5%); hipertensión arterial, en 549 sujetos (22.2%), y tabaquismo positivo, en 32% de los trabajadores. La prevalencia de diabetes mellitus fue de 6.24%. Conclusiones. Se confirma la elevada prevalencia de factores de riesgo de enfermedad cardiovascular entre los trabajadores del Hospital General de México, factores que en muchos casos son modificables, lo que confiere la posibilidad de realizar acciones preventivas.Objective. To evaluate the prevalence of risk factors of coronary heart disease in the personnel of the General Hospital in Mexico City. Material and methods. We studied 2 228 workers, 1 531 female (68.7%) and 697 male (31.2%) whose ages ranged from 16 to 65 years old in the period of 1993 to 1995. They were divided in work areas: Intendancy 477 (21.4%), Administrative, 697 (31.2%), Physicians, 495 (22.2%) and Nurses, 559 (25.0%). We collected clinical histories, anthropometric measures, and laboratory determinations of glucose, total cholesterol, LDL, HDL and triglicerydes. Results. We found that 367 (14.9%) had total cholesterol above 240 mg/dl, with high values in females of the administrative area (17.1%) and males in the nursing department (26%), which was the highest tendency. Trigliceryde levels above 200 mg/dl were found in 208 males (24.6%) and 263 females (16.2%), with high prevalence in the nursing and administrative departments, in males (39.1 and 34.1% respectively). Obesity was present in 236 females (14.5%) and 97 males (11.5%). High blood pressure in 549 individuals (22.2%), 297 females (18.3%) and 252 males (29.8%) without significance regarding to work area. Smoking habits were positive in 32% of the total with highest prevalence in males from 30 to 45 years and in females from 30 to 50 years. We found an incidence of 6.24% of diabetes in all the subjects studied, 2.27% ignored the diagnosis at the moment they were studied.Conclusions. In this study we confirmed the high prevalence of risk factors of coronary heart disease in personnel of the General Hospital in Mexico City. In most cases, these risk factors that can be modified and, therefore, prevented

Prevalencia de factores de riesgo de enfermedad coronaria en trabajadores del Hospital General de México

Objetivo. Conocer la prevalencia de algunos factores de riesgo coronario en trabajadores de una institución de salud. Material y métodos. De 1993 a 1995 se evaluaron 2 228 trabajadores del Hospital General de México, 1 531 mujeres (68.7%) y 697 hombres (31.2%) con edades entre 16 a 65 años, y se les clasificó por áreas de trabajo: en Intendencia hubo 477 participantes (21.4%); en Administración, 697 (31.2%); en Personal Médico, 495 (22.2%), y en Enfermería, 559 (25.0%). Se les practicó historia clínica, mediciones antropométricas y determinación de glucosa, colesterol total, LDL, HDL y triglicéridos. Resultados. Trescientos sesenta y siete sujetos (14.9%) tenían colesterol por arriba de 240 mg/dl, con valores altos en las mujeres del área administrativa (17.1%) y en los hombres del departamento de enfermería (26%) que presentó la mayor tendencia (26%). Se encontraron niveles de triglicéridos por arriba de los 200 mg/dl en 471 personas (19.1%); obesidad, en 329 (13.5%); hipertensión arterial, en 549 sujetos (22.2%), y tabaquismo positivo, en 32% de los trabajadores. La prevalencia de diabetes mellitus fue de 6.24%. Conclusiones. Se confirma la elevada prevalencia de factores de riesgo de enfermedad cardiovascular entre los trabajadores del Hospital General de México, factores que en muchos casos son modificables, lo que confiere la posibilidad de realizar acciones preventivas

DUNE Offline Computing Conceptual Design Report

This document describes Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE) experiment, in particular, the conceptual design of the offline computing needed to accomplish its physics goals. Our emphasis in this document is the development of the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from the DUNE experiment and its prototypes. In this effort, we concentrate on developing the tools and systems thatfacilitate the development and deployment of advanced algorithms. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions as HEP computing evolves and to provide computing that achieves the physics goals of the DUNE experiment

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

Highly-parallelized simulation of a pixelated LArTPC on a GPU

The rapid development of general-purpose computing on graphics processing units (GPGPU) is allowing the implementation of highly-parallelized Monte Carlo simulation chains for particle physics experiments. This technique is particularly suitable for the simulation of a pixelated charge readout for time projection chambers, given the large number of channels that this technology employs. Here we present the first implementation of a full microphysical simulator of a liquid argon time projection chamber (LArTPC) equipped with light readout and pixelated charge readout, developed for the DUNE Near Detector. The software is implemented with an end-to-end set of GPU-optimized algorithms. The algorithms have been written in Python and translated into CUDA kernels using Numba, a just-in-time compiler for a subset of Python and NumPy instructions. The GPU implementation achieves a speed up of four orders of magnitude compared with the equivalent CPU version. The simulation of the current induced on $10^3$ pixels takes around 1 ms on the GPU, compared with approximately 10 s on the CPU. The results of the simulation are compared against data from a pixel-readout LArTPC prototype

Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora

International audienceThe Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/$c$ charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1$\pm0.6$% and 84.1$\pm0.6$%, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation

The DUNE Far Detector Vertical Drift Technology, Technical Design Report

International audienceDUNE is an international experiment dedicated to addressing some of the questions at the forefront of particle physics and astrophysics, including the mystifying preponderance of matter over antimatter in the early universe. The dual-site experiment will employ an intense neutrino beam focused on a near and a far detector as it aims to determine the neutrino mass hierarchy and to make high-precision measurements of the PMNS matrix parameters, including the CP-violating phase. It will also stand ready to observe supernova neutrino bursts, and seeks to observe nucleon decay as a signature of a grand unified theory underlying the standard model. The DUNE far detector implements liquid argon time-projection chamber (LArTPC) technology, and combines the many tens-of-kiloton fiducial mass necessary for rare event searches with the sub-centimeter spatial resolution required to image those events with high precision. The addition of a photon detection system enhances physics capabilities for all DUNE physics drivers and opens prospects for further physics explorations. Given its size, the far detector will be implemented as a set of modules, with LArTPC designs that differ from one another as newer technologies arise. In the vertical drift LArTPC design, a horizontal cathode bisects the detector, creating two stacked drift volumes in which ionization charges drift towards anodes at either the top or bottom. The anodes are composed of perforated PCB layers with conductive strips, enabling reconstruction in 3D. Light-trap-style photon detection modules are placed both on the cryostat's side walls and on the central cathode where they are optically powered. This Technical Design Report describes in detail the technical implementations of each subsystem of this LArTPC that, together with the other far detector modules and the near detector, will enable DUNE to achieve its physics goals

DUNE Offline Computing Conceptual Design Report

International audienceThis document describes Offline Software and Computing for the Deep Underground Neutrino Experiment (DUNE) experiment, in particular, the conceptual design of the offline computing needed to accomplish its physics goals. Our emphasis in this document is the development of the computing infrastructure needed to acquire, catalog, reconstruct, simulate and analyze the data from the DUNE experiment and its prototypes. In this effort, we concentrate on developing the tools and systems thatfacilitate the development and deployment of advanced algorithms. Rather than prescribing particular algorithms, our goal is to provide resources that are flexible and accessible enough to support creative software solutions as HEP computing evolves and to provide computing that achieves the physics goals of the DUNE experiment