5 research outputs found
Humanitarian Logistics and the Problem of Floods in a Smart City
No full textFloods are natural disasters resulting from various factors, such as poor urban planning, deforestation and climate change, to provide just a couple of examples. The consequences of such disasters are often devastating and bring with them not only losses of millions of dollars but also of human lives. The purpose of this work is to offer a first approximation of people’s reactions in the case of an evacuation due to a hypothetical flood in an area located in the Colonia Bellavista of Ciudad Juárez that is adjacent to the Río Bravo, the Acequia Madre, and the Díaz Ordaz viaduct, which are plausible to be subject to overflow or flooding after heavy torrential rains in a scenario where climate change has seriously affected the city's climate
Numerical Analysis of the Crashworthiness Performance of Multicell Tubes Under Oblique Loads
No full textWhen a car crash occurs, the probability that the collision will be oblique and not entirely frontal is high. In this way, the current article evaluates by a finite element analysis, the crashworthiness performance of multicell structures subjected to oblique loads. In this sense, five multicell structures manufactured with 6063-T5 aluminum alloy were designed and evaluated by an oblique compression test. During the analysis, special emphasis was placed on determining the effect of the cross-section and the angle of incidence of the load (θ) on the energy absorption of the structures. For this purpose, values of θ equal to 0°,5°,10° and 15° were analyzed. To guarantee a correct comparison between tubes, all the structures had the same mass equal to 0.80 kg. Then, adjustments to the thickness were realized. In all cases, the most important indicators of impact resistance such as energy absorption (Ea), crushing force efficiency (CFE), and mean force (Pm) were calculated. According to the results, the angle of incidence of the load defined the plastic deformation mode of the structure. In this sense, a 47.75% decrease in the Pmax and Pm was observed as the angle θ increased. Moreover, at the end of the study, the MC-02 profile presented the best CFE with an average value of 0.74 at different loading angles. Thus, this structure could be considered as a baseline among engineers and designers for the design of structures subjected to bending loads
Dynamics of coherent states in regular and chaotic regimes of the non-integrable Dicke model
No full textAnálisis explicativo de la inclusión de las mujeres en la carrera de matemáticas en México
No full textEquality of educational opportunities in Mexico was and has been a pending subject and, slow in the opinion of academics. The study of mathematics as a subject of professional development was largely influenced by gender stereotypes, this mostly focused on development in this field of science and which is estimated to have a greater male predominance.
This article was a brief analysis of the poor participation of women in mathematics and related sciences, taking as a sample the low percentage of women in the Mexican Mathematical Society over the last 50 years.La igualdad de oportunidades educativas en México fue y ha sido una asignatura pendiente y lenta en la opinión de académicos. El estudio de la matemática como una asignatura de desarrollo profesional se vio influenciada mayormente por estereotipos de género, este mayormente focalizado en el desarrollo en este campo de la ciencia y que se estima como de mayor predominio masculino.
Este artículo fue un breve análisis de la pobre participación de las mujeres en la carrera de matemáticas y ciencias afines, tomando como muestra, el bajo porcentaje de mujeres en la Sociedad Matemática Mexicana a lo largo de los últimos 50 años
Heredabilidad de la obesidad en el noreste de México. Estudio basado en el índice de masa corporal de diadas (madre-hijo). 6 Cuarta época, año 2 (2018) septiembre-diciembre. Diario de Campo. Nombrar y contar. Visibilidad estadística de las poblaciones afromexicanas
No full textEl propósito de este estudio de genética cuantitativa consiste en estimar la heredabilidad (h2) del índice de masa corporal (IMC) en 2 840 diadas madre-descendiente con residencia en cinco estados del noreste de México. La h2 total entre los cinco estados fue de 51.6% y no se encontraron diferencias entre ellas (X2 = 5.24, p = 0.26). En conclusión, desde un punto de vista de la epidemiologia genética, cualquiera de estas poblaciones es ideal para la búsqueda de genes candidatos no sólo de la obesidad (OB), sino de otras enfermedades multifactoriales.Alcalde-Rabanal, Jacqueline Elizabeth et al. (2018). “The complex scenario of obesity, diabetes and hypertension in the area of influence of primary healthcare facilities in Mexico”. PLoS One. 13 (1), e0187028. doi: 10.1371/journal.pone.0187028Barquera, Simón y White, Mariel (2018). “Treating obesity seriously in Mexico: Realizing, much too late, action must be immediate”. Obesity Research, 26 (10), pp. 1530-1531.Bastarrachea, Raúl et al. (2007). “Heritability and genetic correlations of metabolic disease-related phenotypes in Mexico: Preliminary report from the GEMM Family Study”, Human Biology, 79 (1), pp. 121-129.Calderón-Garcidueñas, Ana Laura et al. (2008). “Genetic structure of Mexican mestizo women with breast cancer based on three STR loci”. Human Biology, 20 (2), pp. 191-193.Candelero-Juárez, Yadira et al. (2016). “Mínima contribución genética de la obesidad y mínima concordancia entre la percepción materna del peso del hijo (PMPH) con el estado nutricio en Tabasco, México”.Medicina de Torreón, 8 (2), pp. 16-19.Center for Disease and Control Prevention. Overweight and Obesity (mayo, 2018). Recuperado de: https://www.cdc.gov/obesity/index.htmlCerda-Flores, Ricardo Martín et al. (2002). “Maximum likelihood estimates of admixture in Northeastern Mexico using 13 short tandem repeat loci”, American Journal of Human Biology, 14 (4), pp. 429-439._____ (2004). “Epidemiologia genética de la obesidad en el noreste de México. Estimación de la heredabilidad en adolescentes”, Revista de Investigación Clínica, 56 (6), pp. 804-805._____ (2013). “Genetic structure of Mexican Mestizos with type 2 diabetes mellitus based on three STR loci”,Gene, 525 (1), pp. 41-46.Dávila-Rodríguez, Martha I. et al. (2005). “Epidemiología genética de la obesidad en el noreste de México. Búsqueda de familias nucleares informativas”, Gaceta Médica de México, 141 (3), pp. 243-246.Del Río-Navarro, Blanca E. et al. (2004). “The high prevalence of overweight and obesity in Mexican children”, Obesity Research, 12 (2), pp. 215-223.Di Bonaventura, Marco et al. (2018). “Obesity in Mexico: prevalence, comorbidities, associations with patient outcomes, and treatment experiences”. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 22 (11), pp. 1-10.Elrod, Susan L., y William D. Stansfield (2010). Schaum’s Outline of Genetics (5a ed.). Nueva York: Mc Graw Hill.Flores-Peña, Yolanda et al. (2011). “Evaluation of the maternal perception of her child´s weight and body mass index heritability in mestizas dyads in Southeastern Mexico”, Archivos Latinoamericanos de Nutrición, 61 (4), pp. 389-395._____ (2014). “Homogeneity of maternal perception of child weight in Northeastern Mexico”. The Anthropologist, 17 (3), pp. 991-1001.Liu, Yong-Jun et al. (2003). “Molecular and genetic mechanisms of obesity: implications for future management”. Current Molecular Medicine, 3, pp. 325-340.Maes, Hermine H. et al. (1997). “Genetic and environmental factors in relative body weight and human adiposity”. Behavior Genetics, 27, pp. 325-351.Mechanick, Jeffrey I. et al. (2017). “Adiposity-Based Chronic Disease as a new diagnostic term: The American Association of Clinical Endocrinologists and American College of Endocrinology position statement”. Endocrine Practice, 23 (3), pp. 372-378.ton in Forensic Medicine. Springfield:Charles C. Thomas Publisher.Nelson, Tracy L. et al. (1999). “Genetic and environmental influences on waist-to hip ratio and waist circumference in an older Swedish twin population”. International Journal of Obesity and Related Metabolic Disorders, 23, pp. 449-455.Peraza-González, Irma (2010). Epidemiologia genética de la obesidad en familias nucleares de Mazatlán (tesis de maestría). Universidad Autónoma de Nuevo León, Monterrey.Rankinen, Tuomo et al. (2006). “The human obesity gene map: the 2005 update”. Obesity Research, 14 (4), pp. 529-644.Rose, Kathryn M. et al. (1998). “Genetic and behavioral determinants of waist-hip ratio and waist circumference in women twins”. Obesity Research, 6 (6), pp. 383-92.Sánchez-Castillo, Claudia P. et al. (2001). “Unusually high prevalence rates of obesity in four Mexican rural communities”. European Journal of Clinical Nutrition, 55, pp. 833-40._____ (2002). “Epidemiología de la obesidad”. En Nahúm Méndez y Misael Uribe, Obesidad, epidemiología, fisiopatología y manifestaciones clínicas (pp. 5-31). México: El Manual Moderno.Secretaría de Salud (2001). Programa Nacional de Salud 2001-2006. México: Secretaría de Salud.Snyder, Emily E. et al. (2004). “The human obesity gene map: the 2003 update”. Obesity Research, 12, pp. 369-439.Stunkard Albert J., y Thomas A. Wadden (eds.) (1993). Obesity: theory and therapy (2a ed). Nueva York: Raven Press.Walder Ken et al. (2000). “An autosomal genomic scan for loci linked to plasma leptin concentration in Pima Indians”. International Journal of Obesity and Related Metabolic Disorders, 24, pp. 559-565
