Menarquia temprana como factor de riesgo de asma bronquial en mujeres de 18 a 21 años de edad

OBJETIVOS: Identificar si la menarquia temprana es factor de riesgo de incidencia de asma bronquial después de adolescencia en mujeres de 18 a 21 años de edad. MATERIAL Y MÉTODOS: Mediante un estudio seccional transversal, en estudiantes mujeres de la UPAO Trujillo. Se encuestaron a 400 mujeres para comparar la incidencia de asma bronquial de aparición después de la adolescencia en dos grupos: las que tuvieron menarquia temprana o no. RESULTADOS: Se estudiaron 400 mujeres con una edad promedio de 19.627 años (DE=1,35) la edad promedio de la menarquia fue de 12,159 (DE=1.569) con un rango de 7-17 años. El 11.5% tuvieron menarquia temprana y el 16.3% tuvieron asma después de la adolescencia. En las mujeres que tuvieron menarquia temprana el 37% tuvieron asma bronquial de aparición después de la menarquia mientras que en el grupo que no tuvieron menarquia temprana el 13,6% tuvieron asma después de la menarquia. La diferencia del riesgo es de 23,4%. El OR = 3,73 (IC 95% fue de 1,909-7,315) p=0.000. La presencia de sobrepeso no influye significativamente en la asociación de menarquia temprana como factor de riesgo de asma después de la pubertad CONCLUSIONES: La menarquia temprana es factor de riesgo de incidencia asma bronquial de aparición después de la adolescencia.OBJECTIVES: To identify if the menarche early is factor of risk of incidence of asthma bronchial after adolescence on women from 18 to 21 years of age. MATERIAL AND METHODS: through a study sectional transverse, in students women of the UPAO Trujillo; is surveyed to 400 women to compare the incidence of asthma bronchial of appearance after the adolescence in two groups: which had menarche early or no RESULTS: We studied 400 women with an average age of 19.627 yeas (DE=1,35), the average age of menarche was of 12,159 (of = 1.569) with a range of 7 - 17 years. The 11.5% had menarche early and the 16.3% had asthma after her adolescence. In the women that had menarche early the 37% had asthma bronchial of appearance after the menarche while in the group that not had menarche early the 13.6% had asthma after her menarche. The difference of the risk is of 23.4%. He OR = 3.73 (IC 95% was of 1, 909-7, 315) p = 0.000. The presence of overweight does not significantly influence the association of early menarche as a risk factor for asthma after puberty CONCLUSIONS: The menarche early is factor of risk of incidence asthma bronchial of emergence after the adolescence.Tesi

Quantum molecular dynamics and ab initio studies of the crystal structure of hydrogen and deuterium

Hydrogen isotopes play a critical role both in inertial and magnetic confinemen Nuclear Fusion. Since the preferent fuel needed for this technology is a mixture of deuterium and tritium. The study of these isotopes particularly at very low temperatures carries a technological interest in other applications. The present line promotes a deep study on the structural configuration that hydrogen and deuterium adopt at cryogenic temperatures and at high pressures. Typical conditions occurring in present Inertial Fusion target designs. Our approach is aims to determine the crystal structure characteristics, phase transitions and other parameters strongly correlated to variations of temperature and pressure

Nanocrystals in the manufacture of target for inertial confinement fusion

Systems inertial confinement fusion (ICF) need of a manufacturing process targets very accurate and efficient (Fig. A). Due to the frequency needed for energy production techniques are necessary to achieve high repetition rates, however it is also necessary to increase or maintain the quality and efficiency of these targets. In order to observe more resolution possible problems in the target manufacture (B), we propose the following theoretical methodology, by means of which analyze different phenomena present in the conditions which are fabrication and handled deuterium tritium target spheres (DT ice). Recent experiments show that addition of instabilities caused by the geometry of the solid layer of DT ice (C), and the cover (ablator), one can relate the loss of power delivery in the implosion due to different conformations of the solid layers with regarding handling conditions

Propuesta de Mejora en los Procesos en una Empresa de Construcción de Obras Hidráulicas

Este artículo explora las consideraciones tomadas en cuenta para efectuar una propuesta de mejora de procesos en una empresa del sector metal mecánico peruano. El documento resume el marco teórico básico que define a los tipos de sistemas de producción, las técnicas para identificación de problemas y mejoramiento continuo de procesos; posteriormente pasa describir las pautas que rigieron la selección de uno de los procesos de la empresa, donde se centro detenidamente el estudio. En la última parte se detallan las conclusiones resultantes del estudio de mejora, donde se puede encontrar muchas vinculadas a la parte operativas del proceso, al estudio en sí y a la parte organizativa y metas que se maneja dentro la empresa. Proposal to Improve Processes in a Hydraulic Construction CompanyThis article explores the considerations taken into account to make a proposal to improve business processes in a mechanical metal Peruvian sector. The document summarizes the basic theoretical framework that defines the types of production systems, techniques for problem identification and continuous process improvement, and subsequently passes describe patterns that governed the selection of one of the processes of the company, where he focused carefully study. In the last part details the findings resulting from the study of improvement, where you can find many related to the process operating at the study itself and the organizational and goals that is handled within the company

Minhocas e Fusarium oxysporum: efeito no crescimento e produção do morangueiro

Earthworms are soil invertebrates that play an important environmental role and are often referred to as “ecosystem engineers”. These invertebrates can influence several organisms, from microscopic life forms to plants. Although many works had reported positive effects of earthworms on plant growth, studies combining these invertebrates and soil pathogens showed numerous positive interactions. Fusarium wilt is a global disease that can cause severe damage to strawberry fields. The aim of this study was to evaluate the effects of inoculation of earthworms (Lumbricus terrestris) and Fusarium wilt (Fusarium oxysporum f. sp. fragariae) in strawberry plants. This greenhouse experiment was carried out in the University of Seville School of Agricultural Engineering, Utrera City, Spain. Strawberries (Rooted cuttings) were planted in plastic pots and administered the following treatments: Control (absence of F. oxysporum f. sp. fragariae and earthworms), T1 (absence of F. oxysporum f. sp. fragariae, two L. terrestris per pot), T2 (inoculum of F. oxysporum f. sp. fragariae, absence of L. terrestris), and T3 (inoculum of F. oxysporum f. sp. fragariae and two L. terrestris). Weekly fruit production was measured for seven months. After this period the shoot fresh weight and the leaf nutrient content was measured. The results obtained showed no interaction between L. terrestris and F. oxysporum f. sp. fragariae on strawberry production. T1 treatment resulted in fruit production superior to other treatments, including the control. An absence of differences in dry shoot matter was observed with earthworm treatment, and small differences were found in the leaf nutrient content. The earthworm inoculation was unable to suppress the negative effects of Fusarium wilt in strawberry production. However, positive effects such as a reduction in the disease severity were found in the earthworm treated plants. In treatments without F. oxysporum f. sp. fragariae inoculation, the presence of earthworms increased plant productivity by 44.21 g per pot, compared with the control

Single trajectory characterization via machine learning

[EN] In order to study transport in complex environments, it is extremely important to determine the physical mechanism underlying diffusion and precisely characterize its nature and parameters. Often, this task is strongly impacted by data consisting of trajectories with short length (either due to brief recordings or previous trajectory segmentation) and limited localization precision. In this paper, we propose a machine learning method based on a random forest architecture, which is able to associate single trajectories to the underlying diffusion mechanism with high accuracy. In addition, the algorithm is able to determine the anomalous exponent with a small error, thus inherently providing a classification of the motion as normal or anomalous (sub- or super-diffusion). The method provides highly accurate outputs even when working with very short trajectories and in the presence of experimental noise. We further demonstrate the application of transfer learning to experimental and simulated data not included in the training/test dataset. This allows for a full, high-accuracy characterization of experimental trajectories without the need of any prior information.This work has been funded by the Spanish Ministry MINECO (National Plan 15 Grant: FISICATEAMO No. FIS2016-79508-P, SEVEROOCHOA No. SEV-2015-0522, FPI), European Social Fund, Fundacio Cellex, Generalitat de Catalunya (AGAUR Grant No. 2017 SGR 1341 and CERCA/Program), ERC AdG OSYRIS, EU FETPRO QUIC, and the National Science Centre, Poland-Symfonia Grant No. 2016/20/W/ST4/00314. CM acknowledges funding from the Spanish Ministry of Economy and Competitiveness and the European Social Fund through the Ramon y Cajal program 2015 (RYC-2015-17896) and the BFU2017-85693-R and from the Generalitat de Catalunya (AGAUR Grant No. 2017SGR940). GM acknowledges financial support from Fundacio Social La Caixa. MAGM acknowledges funding from the Spanish Ministry of Education and Vocational Training (MEFP) through the Beatriz Galindo program 2018 (BEAGAL18/00203). We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU.Munoz-Gil, G.; Garcia March, MA.; Manzo, C.; Martin-Guerrero, JD.; Lewenstein, M. (2020). Single trajectory characterization via machine learning. New Journal of Physics. 22(1):1-9. https://doi.org/10.1088/1367-2630/ab6065S1922

Simulación Ab Initio de los Isótopos de Hidrógeno en Altas Presiones

Tenemos una Metodología Multiescala por medio de la cual es posible estudiar las propiedades mecanicas de los isótopos de Hidrógeno. Observamos transiciones de Fase acorde con las reportadas por estudios experimentales. Existen discontinuidades en la variación de la velocidad del sonido que deben ser mejor estudiadas. Proponemos nuevas estructuras cristalinas para el Hidrógeno en Altas Presiones P mayor que 200 Gpa