Multidimensional Machine Learning Model to Calculate a COVID-19 Vulnerability Index

In Colombia, the first case of COVID-19 was confirmed on 6 March 2020. On 13 March 2023, Colombia registered 6,360,780 confirmed positive cases of COVID-19, representing 12.18% of the total population. The National Administrative Department of Statistics (DANE) in Colombia published in 2020 a COVID-19 vulnerability index, which estimates the vulnerability (per city block) of being infected with COVID-19. Unfortunately, DANE did not consider multiple factors that could increase the risk of COVID-19 (in addition to demographic and health), such as environmental and mobility data (found in the related literature). The proposed multidimensional index considers variables of different types (unemployment rate, gross domestic product, citizens’ mobility, vaccination data, and climatological and spatial information) in which the incidence of COVID-19 is calculated and compared with the incidence of the COVID-19 vulnerability index provided by DANE. The collection, data preparation, modeling, and evaluation phases of the Cross-Industry Standard Process for Data Mining methodology (CRISP-DM) were considered for constructing the index. The multidimensional index was evaluated using multiple machine learning models to calculate the incidence of COVID-19 cases in the main cities of Colombia. The results showed that the best-performing model to predict the incidence of COVID-19 in Colombia is the Extra Trees Regressor algorithm, obtaining an R-squared of 0.829. This work is the first step toward a multidimensional analysis of COVID-19 risk factors, which has the potential to support decision making in public health programs. The results are also relevant for calculating vulnerability indexes for other viral diseases, such as dengue

Modelación Integrada de Sistemas Socio-ecológicos Complejos: Caso de Estudio la Ecorregión de la Mojana

Context: It was observed that the modeling of complex socio-ecological systems based on Agent-Based Simulations has the advantage of allowing the integration of different processes, scales, variables and the possibility to generate scenarios with actors in the context of the modeling with stakeholders.Method: A computational tool for planning and support of decision-making processes related with water resources management, specifically in the case of floods in the Mojana ecoregion (Colombia) is designed along with social participation workshops related with beliefs, values, social networks and resilience.Results: The model has two components: the first one represents the hydrodynamic of flooding by means of the numerical platform ISIS 2D. The second one, regarding the social aspects of the region, is handled via agent systems modeling. Both schemes are integrated into the NetLogo platform.Conclusions: The integrated modeling of complex socio-ecological systems allow us to visualize the behavior of the population and the natural resources in a territory, contributing to the design of policies and educational processes involving different disciplines and actors. Future work will focus on regional modeling and the analysis of the impact produced by the use of these tools.Contexto: Se ha observado que la modelación de sistemas socio-ecológicos complejos a partir de simulaciones basadas en agentes, tienen la ventaja de integrar diferentes procesos, escalas, variables y la posibilidad de generar escenarios con actores en el marco de procesos de modelación participativa.Método: Se diseña una herramienta computacional para la planificación y apoyo a los procesos de toma de decisión relacionados con la gestión de los recursos hídricos, específicamente para el caso de las inundaciones en la ecorregión de la Mojana (Colombia). Son desarrollados talleres de participación social relacionados con creencias, valores, redes sociales y resiliencia.Resultados: El modelo tiene dos componentes: el primero representa la hidrodinámica de las inundaciones por medio de la plataforma numérica ISIS 2D; el segundo, en relación con los aspectos sociales de la región, se maneja a través de modelado de sistemas de agentes. Ambos sistemas están integrados  en la plataforma NetLogo.Conclusiones: La modelación integrada de sistemas socio-ecológicos complejos permite visualizar el comportamiento de la población y los recursos naturales en un territorio, contribuyendo al diseño de políticas y los procesos educativos con la participación de diferentes disciplinas y actores. Trabajos futuros, pueden enfocarse en la modelación regional y el análisis del impacto producido por el uso de estas herramientas. 

Modelación Integrada de Sistemas Socio-ecológicos Complejos: Caso de Estudio la Ecorregión de la Mojana

Context: It was observed that the modeling of complex socio-ecological systems based on Agent-Based Simulations has the advantage of allowing the integration of different processes, scales, variables and the possibility to generate scenarios with actors in the context of the modeling with stakeholders.Method: A computational tool for planning and support of decision-making processes related with water resources management, specifically in the case of floods in the Mojana ecoregion (Colombia) is designed along with social participation workshops related with beliefs, values, social networks and resilience.Results: The model has two components: the first one represents the hydrodynamic of flooding by means of the numerical platform ISIS 2D. The second one, regarding the social aspects of the region, is handled via agent systems modeling. Both schemes are integrated into the NetLogo platform.Conclusions: The integrated modeling of complex socio-ecological systems allow us to visualize the behavior of the population and the natural resources in a territory, contributing to the design of policies and educational processes involving different disciplines and actors. Future work will focus on regional modeling and the analysis of the impact produced by the use of these tools.Contexto: Se ha observado que la modelación de sistemas socio-ecológicos complejos a partir de simulaciones basadas en agentes, tienen la ventaja de integrar diferentes procesos, escalas, variables y la posibilidad de generar escenarios con actores en el marco de procesos de modelación participativa.Método: Se diseña una herramienta computacional para la planificación y apoyo a los procesos de toma de decisión relacionados con la gestión de los recursos hídricos, específicamente para el caso de las inundaciones en la ecorregión de la Mojana (Colombia). Son desarrollados talleres de participación social relacionados con creencias, valores, redes sociales y resiliencia.Resultados: El modelo tiene dos componentes: el primero representa la hidrodinámica de las inundaciones por medio de la plataforma numérica ISIS 2D; el segundo, en relación con los aspectos sociales de la región, se maneja a través de modelado de sistemas de agentes. Ambos sistemas están integrados  en la plataforma NetLogo.Conclusiones: La modelación integrada de sistemas socio-ecológicos complejos permite visualizar el comportamiento de la población y los recursos naturales en un territorio, contribuyendo al diseño de políticas y los procesos educativos con la participación de diferentes disciplinas y actores. Trabajos futuros, pueden enfocarse en la modelación regional y el análisis del impacto producido por el uso de estas herramientas. 

Estado del Arte de la Investigación en Educación, Pedagogía, Didáctica, Aportes teóricos a las discusiones educativas sobre la diversidad, y Diversidad en procesos de aprendizaje y transformación de la escuela en la MEVI – 2018 - 2021.

Elaborar un estado del arte de la investigación en la MEVI en relación con la educación, la pedagogía, la didáctica, los aportes teóricos a las discusiones educativas sobre la diversidad y la diversidad en procesos de aprendizaje y transformación de la escuela entre 2018 y 2021El presente estado del arte evidencia los intereses investigativos y las conceptualizaciones derivadas en el campo de la educación la pedagogía, la didáctica, los aportes teóricos a las discusiones educativas sobre la diversidad y la diversidad en procesos de aprendizaje y transformación de la escuela, en las investigaciones realizadas en el programa de Maestría en Educación Virtual (en adelante MEVI), de la Corporación Universitaria Minuto de Dios ( en adelante UNIMINUTO), entre los años 2018 y 2021. Este proyecto sombrilla, se desarrolla bajo la sub-línea de Procesos educativos para la diversidad y la transformación cultural se realiza bajo un enfoque cualitativo descriptivo a partir de una selección aleatoria de 160 tesis de la MEVI. En el capítulo 1 se presenta una contextualización sobre el proceso investigativo dentro de la MEVI. También, se presentan los estudios nacionales e internacionales relacionados con la investigación; al tiempo que se presenta en detalle el planteamiento de objetivos con la intención de lograr categorías de estudio

The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients

Background: Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three days of mechanical ventilation in patients with COVID-19 intubated at ICU admission. Methods: Multicenter, observational, cohort study includes consecutive patients with COVID-19 admitted to 44 Spanish ICUs between February 25 and July 31, 2020, who required intubation at ICU admission and mechanical ventilation for more than three days. We collected demographic and clinical data prior to admission; information about clinical evolution at days 1 and 3 of mechanical ventilation; and outcomes. Results: Of the 2,095 patients with COVID-19 admitted to the ICU, 1,118 (53.3%) were intubated at day 1 and remained under mechanical ventilation at day three. From days 1 to 3, PaO2/FiO2 increased from 115.6 [80.0-171.2] to 180.0 [135.4-227.9] mmHg and the ventilatory ratio from 1.73 [1.33-2.25] to 1.96 [1.61-2.40]. In-hospital mortality was 38.7%. A higher increase between ICU admission and day 3 in the ventilatory ratio (OR 1.04 [CI 1.01-1.07], p = 0.030) and creatinine levels (OR 1.05 [CI 1.01-1.09], p = 0.005) and a lower increase in platelet counts (OR 0.96 [CI 0.93-1.00], p = 0.037) were independently associated with a higher risk of death. No association between mortality and the PaO2/FiO2 variation was observed (OR 0.99 [CI 0.95 to 1.02], p = 0.47). Conclusions: Higher ventilatory ratio and its increase at day 3 is associated with mortality in patients with COVID-19 receiving mechanical ventilation at ICU admission. No association was found in the PaO2/FiO2 variation

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio

Penilaian Kinerja Keuangan Koperasi di Kabupaten Pelalawan

This paper describe development and financial performance of cooperative in District Pelalawan among 2007 - 2008. Studies on primary and secondary cooperative in 12 sub-districts. Method in this stady use performance measuring of productivity, efficiency, growth, liquidity, and solvability of cooperative. Productivity of cooperative in Pelalawan was highly but efficiency still low. Profit and income were highly, even liquidity of cooperative very high, and solvability was good

Search for stop and higgsino production using diphoton Higgs boson decays

Results are presented of a search for a "natural" supersymmetry scenario with gauge mediated symmetry breaking. It is assumed that only the supersymmetric partners of the top-quark (stop) and the Higgs boson (higgsino) are accessible. Events are examined in which there are two photons forming a Higgs boson candidate, and at least two b-quark jets. In 19.7 inverse femtobarns of proton-proton collision data at sqrt(s) = 8 TeV, recorded in the CMS experiment, no evidence of a signal is found and lower limits at the 95% confidence level are set, excluding the stop mass below 360 to 410 GeV, depending on the higgsino mass

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

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 ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. 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

Juxtaposing BTE and ATE – on the role of the European insurance industry in funding civil litigation

One of the ways in which legal services are financed, and indeed shaped, is through private insurance arrangement. Two contrasting types of legal expenses insurance contracts (LEI) seem to dominate in Europe: before the event (BTE) and after the event (ATE) legal expenses insurance. Notwithstanding institutional differences between different legal systems, BTE and ATE insurance arrangements may be instrumental if government policy is geared towards strengthening a market-oriented system of financing access to justice for individuals and business. At the same time, emphasizing the role of a private industry as a keeper of the gates to justice raises issues of accountability and transparency, not readily reconcilable with demands of competition. Moreover, multiple actors (clients, lawyers, courts, insurers) are involved, causing behavioural dynamics which are not easily predicted or influenced. Against this background, this paper looks into BTE and ATE arrangements by analysing the particularities of BTE and ATE arrangements currently available in some European jurisdictions and by painting a picture of their respective markets and legal contexts. This allows for some reflection on the performance of BTE and ATE providers as both financiers and keepers. Two issues emerge from the analysis that are worthy of some further reflection. Firstly, there is the problematic long-term sustainability of some ATE products. Secondly, the challenges faced by policymakers that would like to nudge consumers into voluntarily taking out BTE LEI