Uso de la analogía de flujo compresible para elaborar un modelo numérico de aguas someras

En este trabajo se exploran las capacidades y limitaciones que ofrecen las ecuaciones de aguas someras basadas en la analogía del flujo compresible para representar el flujo en canales por medio de la validación con datos analíticos. La teoría de aguas someras se ha utilizado ampliamente para analizar diversos problemas hidrodinámicos, principalmente los relacionados con el flujo en cuerpos de agua, debido a su versatilidad para resolver problemas de tres dimensiones (3D) en forma simplificada en 2D. Por su parte la analogía de de flujo compresible ha sido empleada para reducir los costos experimentales. Le metodología consiste en establecer las relaciones matemáticas existentes entre las ecuaciones que representan el flujo en aguas someras y las ecuaciones que representan el flujo de un gas compresible, para luego implementarlas en el código PHOENICS. Se proponen dos casos básicos de validación con base en resultados analíticos (Rouse, 1946)

Ingeniería del software e ingeniería del conocimiento. Dos disciplinas interrelacionadas

El libro que ahora nos ocupa, titulado “Ingeniería de Software e Ingeniería del Conocimiento: dos disciplinas interrelacionadas” surge con los aportes de una gran cantidad de grupos iberoamericanos que presentan conclusiones importantes sobre estas dos disciplinas. Se presentan proyectos en diferentes temas, como entornos virtuales de aprendizaje, transferencia del conocimiento, modelos y metodologías del software como PSP y Scrum, elementos de ingeniería de requisitos, arquitecturas y lenguajes, además de varias técnicas y estrategias de enseñanza y tendencias modernas como Semat. Todos estos temas se conjugan y, en ocasiones, sus límites se hacen borrosos entre las dos disciplinas que dan nombre a este libro, entregando en 22 Capítulos aportes de gran relevancia para el entorno científico Iberoamericano. Confiamos en que las contribuciones que se incluyen en este libro susciten nuevas maneras de aproximar aún más la Ingeniería de Software y la Ingeniería del Conocimiento, como áreas que tienen mucho que aportarse la una a la otra

Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease

Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report

International audienceThe Deep Underground Neutrino Experiment (DUNE) is an international, world-class experiment aimed at exploring fundamental questions about the universe that are at the forefront of astrophysics and particle physics research. DUNE will study questions pertaining to the preponderance of matter over antimatter in the early universe, the dynamics of supernovae, the subtleties of neutrino interaction physics, and a number of beyond the Standard Model topics accessible in a powerful neutrino beam. A critical component of the DUNE physics program involves the study of changes in a powerful beam of neutrinos, i.e., neutrino oscillations, as the neutrinos propagate a long distance. The experiment consists of a near detector, sited close to the source of the beam, and a far detector, sited along the beam at a large distance. This document, the DUNE Near Detector Conceptual Design Report (CDR), describes the design of the DUNE near detector and the science program that drives the design and technology choices. The goals and requirements underlying the design, along with projected performance are given. It serves as a starting point for a more detailed design that will be described in future documents

Impact of cross-section uncertainties on supernova neutrino spectral parameter fitting in the Deep Underground Neutrino Experiment

International audienceA primary goal of the upcoming Deep Underground Neutrino Experiment (DUNE) is to measure the O(10)  MeV neutrinos produced by a Galactic core-collapse supernova if one should occur during the lifetime of the experiment. The liquid-argon-based detectors planned for DUNE are expected to be uniquely sensitive to the νe component of the supernova flux, enabling a wide variety of physics and astrophysics measurements. A key requirement for a correct interpretation of these measurements is a good understanding of the energy-dependent total cross section σ(Eν) for charged-current νe absorption on argon. In the context of a simulated extraction of supernova νe spectral parameters from a toy analysis, we investigate the impact of σ(Eν) modeling uncertainties on DUNE’s supernova neutrino physics sensitivity for the first time. We find that the currently large theoretical uncertainties on σ(Eν) must be substantially reduced before the νe flux parameters can be extracted reliably; in the absence of external constraints, a measurement of the integrated neutrino luminosity with less than 10% bias with DUNE requires σ(Eν) to be known to about 5%. The neutrino spectral shape parameters can be known to better than 10% for a 20% uncertainty on the cross-section scale, although they will be sensitive to uncertainties on the shape of σ(Eν). A direct measurement of low-energy νe-argon scattering would be invaluable for improving the theoretical precision to the needed level