1,243 research outputs found

    Food insecure in Colombian’s households according to geographic region and social demographic conditions

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    ABSTRACT: household food security is a country s` indicator of quality of life and poverty. The characterization of these indicators is necessary to develop social policies. Objective: to describe the level of food security in Colombian families according to their geographic location and socioeconomic conditions. Materials and methods: the Household Food Security Scale was applied to 17.740 Colombian families. The prevalence of food insecurity was established in relation to their geographic place, Health security classification (Sisben), access to number of utilities, number of individuals living in a house and the average household size. Odds ratio (OR) was used to calculated food insecurity related to socioeconomic variables. Results: the prevalence of severe food insecurity was three times higher in rural areas than in urban local households. The highest prevalence was identified in the Atlantic region. The prevalence of food insecurity decreased in the same way as the health security classification (Sisben) changed, and the number of utilities and the number of rooms for house increased. However, the opposite situation was evidenced along with the average household size. Conclusion: deprive and inequity conditions influencing household food insecurity significantly, especially in these families that present moderate and severe food insecurity levels. Recommendations: to impact family‚Äôs life conditions is necessary to take actions concerning to reduce poverty, hunger and malnutrition among these people at high risk.RESUMEN: la seguridad alimentaria en los hogares de un pa√≠s es un indicador de calidad de vida y de pobreza. Su caracterizaci√≥n es √ļtil para la focalizaci√≥n de las pol√≠ticas sociales. Objetivo: describir el grado de seguridad alimentaria en los hogares colombianos seg√ļn la localizaci√≥n geogr√°fica y algunas condiciones socioecon√≥micas. Materiales y m√©todos: en 17.740 hogares colombianos se aplic√≥ la escala de seguridad alimentaria en el hogar. Se establecieron las proporciones de ocurrencia de inseguridad alimentaria seg√ļn la regi√≥n, nivel de Sisb√©n, hacinamiento, n√ļmero de servicios p√ļblicos presentes en la vivienda y tama√Īo promedio del hogar. Se calcul√≥ la raz√≥n de disparidad de inseguridad alimentaria con las variables socioecon√≥micas. Resultados: la proporci√≥n de inseguridad severa fue tres veces mayor en los hogares rurales que en los urbanos. La regi√≥n Atl√°ntica present√≥ las mayores prevalencias. A medida que se asciende en el nivel de Sisben, en el n√ļmero de servicios p√ļblicos y en el n√ļmero de cuartos para dormir, se disminuy√≥ la prevalencia de inseguridad alimentaria, situaci√≥n inversa se present√≥ con el tama√Īo promedio del hogar. Conclusi√≥n: las condiciones de marginalidad e inequidad inciden de manera importante en la inseguridad alimentaria de los hogares de manera especial en aquellos que se encuentran en los niveles moderados y severos. Recomendaciones: focalizar las acciones para la reducci√≥n de la pobreza, el hambre y la desnutrici√≥n en los hogares de mayor vulnerabilidad

    Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

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    Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function √į√į¬•with constraints√į √į √į¬• ¬• √įand√į¬ī√į¬• = √į. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

    Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions