Mission At and From the Margins Patterns, Protagonists and Perspectives

It is our hope that these chapters, though fragmentary in nature, will provide glimpses of how the ‘margins’ can both inform and re-form missiological thought as we build further upon what has happened since Edinburgh 1910. These fragments are offered with the hope that they will not only feed and nourish but also provoke hunger for working towards God’s kingdom of justice and righteousness.https://scholar.csl.edu/edinburghcentenary/1016/thumbnail.jp

Factores que determinan la disposición en el uso de sustitutos oseos en profesionales ded ortopedia maxilofacial y neurocirugia en la ciudad de Bogotá

Las opciones para estabilizar y fusionar el sistema óseo se han multiplicado en los últimos años, en cuanto a los hábitos de consumo por parte de los especialistas, ha pasado del uso de auto injerto (fragmento de hueso tomado del cuerpo del mismo paciente), al uso de productos procesados (sustitutos óseos), que se encuentran muy bien posicionados en el mercado de la salud de nuestro país; cada día crece la demanda de sustitutos óseos en las especialidades de ortopedia, maxilofacial y neurocirugía por su alta calidad y su notable diferencia respecto a lo tradicional, por sus enormes ventajas para producir hueso. Los profesionales consumidores de sustitutos óseos, buscan la estabilidad de los implantes cuando son colocados simultáneamente con el injerto, disminuir los índices de infección y de fácil uso, con el fin de darle bienestar y calidad de vida a sus pacientes, los beneficios adicionales hacen que el segmento crezca cada vez más en Colombia

Christianity and Hinduism: An Annotated Bibliography

No abstract availabl

How developing world concerns need to be part of drug development plans: A case study of four emerging antiretrovirals

Clinical trials are usually designed to meet registration requirements in developed countries, and do not always address key concerns for use in developing countries. Four late-stage investigational new drugs - rilpivirine, etravirine, raltegravir and maraviroc - show potential to improve antiretroviral therapy. However, a number of issues could limit their use in developing countries, including dose selection, treatment strategy, combination with other drugs, use in specific populations and reliance on expensive tests. Key research questions relevant for developing countries need to be answered early in the drug development process to ensure maximum benefit for the majority

Estudio documental de las competencias profesionales docentes en educación superior mediante la cartografía conceptual

In this article, the concept of professional teaching competencies in higher education was analyzed, where the predominant competencies and those necessary that favor teacher professionalization were highlighted. The research method used was a documentary analysis where information was collected from scientific articles and books, they were analyzed through the conceptual mapping strategy developing the eight axes that characterize it. The results indicate that the teacher must have intellectual, inter and intrapersonal and social capacities that allow them to perform satisfactorily in their professional practice. It was concluded that the main competences that teachers must possess in their professional performance are: planning, communication, evaluation, tutoring, continuous training and meaningful teaching of knowledge.En el presente artículo, se analizó el concepto de competencias profesionales docentes en educación superior, en donde se resaltó las competencias predominantes y las necesarias que favorezcan la profesionalización docente. El método de investigación empleado fue un análisis documental en donde se recopiló información de artículos científicos y libros, se analizaron a través de la estrategia cartografía conceptual, desarrollando los ocho ejes que la caracterizan. Los resultados indican que el docente debe poseer capacidades intelectuales, inter e intrapersonales y sociales que le permitan un desempeño satisfactorio en su práctica profesional. Se concluyó que las competencias principales que los docentes deben dominar en su desempeño profesional son: la planificación, comunicación, evaluación, tutorizar, formación continua y la enseñanza significativa del conocimiento

Violencia familiar y dependencia emocional en mujeres del Programa Vaso de Leche del distrito de Santa Rosa de Ocopa, 2023

El presente trabajo de estudio tiene como finalidad determinar la relación que existe entre violencia familiar y dependencia emocional en las mujeres del Programa Vaso de Leche del Distrito de Santa Rosa de Ocopa, 2023. La muestra de trabajo estaba conformada por 96 mujeres mayores de edad. Este estudio es de tipo cuantitativo con diseño descriptivo correlacional entre dos variables. Los instrumentos utilizados fueron la Escala de Violencia Familiar de Julio Jaramillo Oyervide (VIF-J4) y el Inventario de Dependencia Emocional de Jesús Joel Aiquipa Tello (IDE). Los resultados que se evidenció fueron que, si existe una correlación directa, significativa y de intensidad moderada entre violencia familiar y dependencia emocional con un valor de significancia de (sig. 0.000 siendo esto < 0,05) y con una correlación de la Rho de Spearman de 0,586**; lo que indica que a mayor violencia familiar mayor será la dependencia emocional o viceversa. Del mismo modo se encontró una correlación positiva débil entre violencia familiar y miedo a la ruptura (Rho. 0.446); entre violencia familiar y miedo e intolerancia (0,499); entre violencia familiar y prioridad a la pareja (Rho. 0, 371); entre violencia familiar y deseos de exclusividad (Rho. 0,482) y entre violencia familiar y subordinación y sumisión (Rho. 0,399). Continuando se encontró una correlación positiva moderado entre violencia familiar y necesidad de acceso (Rho. 0,568) y entre violencia familiar y deseos de control (Rho. 0,501)

Using Machine Learning Tools to Classify Sustainability Levels in the Development of Urban Ecosystems

[EN] Different studies have been carried out to evaluate the progress made by countries and cities towards achieving sustainability to compare its evolution. However, the micro-territorial level, which encompasses a community perspective, has not been examined through a comprehensive forecasting method of sustainability categories with machine learning tools. This study aims to establish a method to forecast the sustainability levels of an urban ecosystem through supervised modeling. To this end, it was necessary to establish a set of indicators that characterize the dimensions of sustainable development, consistent with the Sustainable Development Goals. Using the data normalization technique to process the information and combining it in different dimensions made it possible to identify the sustainability level of the urban zone for each year from 2009 to 2017. The resulting information was the basis for the supervised classification. It was found that the sustainability level in the micro-territory has been improving from a low level in 2009, which increased to a medium level in the subsequent years. Forecasts of the sustainability levels of the zone were possible by using decision trees, neural networks, and support vector machines, in which 70% of the data were used to train the machine learning tools, with the remaining 30% used for validation. According to the performance metrics, decision trees outperformed the other two tools.Molina-Gomez, NI.; Rodriguez-Rojas, K.; Calderón-Rivera, D.; Díaz Arévalo, JL.; López Jiménez, PA. (2020). Using Machine Learning Tools to Classify Sustainability Levels in the Development of Urban Ecosystems. Sustainability. 12(8):1-20. https://doi.org/10.3390/su12083326S120128Shen, L., Kyllo, J., & Guo, X. (2013). An Integrated Model Based on a Hierarchical Indices System for Monitoring and Evaluating Urban Sustainability. Sustainability, 5(2), 524-559. doi:10.3390/su5020524Verma, P., & Raghubanshi, A. S. (2018). Urban sustainability indicators: Challenges and opportunities. Ecological Indicators, 93, 282-291. doi:10.1016/j.ecolind.2018.05.007Phillis, Y. A., Kouikoglou, V. S., & Verdugo, C. (2017). Urban sustainability assessment and ranking of cities. Computers, Environment and Urban Systems, 64, 254-265. doi:10.1016/j.compenvurbsys.2017.03.002Gerry Marten, Human Ecology: Basic Concepts for Sustainable Development—Populations and Feedback Systemshttp://gerrymarten.com/ecologia-humana/capitulo02.htmlTanguay, G. A., Rajaonson, J., Lefebvre, J.-F., & Lanoie, P. (2010). Measuring the sustainability of cities: An analysis of the use of local indicators. Ecological Indicators, 10(2), 407-418. doi:10.1016/j.ecolind.2009.07.013Mapar, M., Jafari, M. J., Mansouri, N., Arjmandi, R., Azizinejad, R., & Ramos, T. B. (2017). Sustainability indicators for municipalities of megacities: Integrating health, safety and environmental performance. Ecological Indicators, 83, 271-291. doi:10.1016/j.ecolind.2017.08.012Rajaonson, J., & Tanguay, G. A. (2017). A sensitivity analysis to methodological variation in indicator-based urban sustainability assessment: a Quebec case study. Ecological Indicators, 83, 122-131. doi:10.1016/j.ecolind.2017.07.050Dizdaroglu, D. (2015). Developing micro-level urban ecosystem indicators for sustainability assessment. Environmental Impact Assessment Review, 54, 119-124. doi:10.1016/j.eiar.2015.06.004Niemeijer, D., & de Groot, R. S. (2008). A conceptual framework for selecting environmental indicator sets. Ecological Indicators, 8(1), 14-25. doi:10.1016/j.ecolind.2006.11.012Scipioni, A., Mazzi, A., Mason, M., & Manzardo, A. (2009). The Dashboard of Sustainability to measure the local urban sustainable development: The case study of Padua Municipality. Ecological Indicators, 9(2), 364-380. doi:10.1016/j.ecolind.2008.05.002Hák, T., Janoušková, S., & Moldan, B. (2016). Sustainable Development Goals: A need for relevant indicators. Ecological Indicators, 60, 565-573. doi:10.1016/j.ecolind.2015.08.003Sotelo, J. A., Tolón, A., & Lastra, X. (2011). Indicadores por y para el desarrollo sostenible, un estudio de caso. Estudios Geográficos, 72(271), 611-654. doi:10.3989/estgeogr.201124Feleki, E., Vlachokostas, C., & Moussiopoulos, N. (2018). Characterisation of sustainability in urban areas: An analysis of assessment tools with emphasis on European cities. Sustainable Cities and Society, 43, 563-577. doi:10.1016/j.scs.2018.08.025Ocampo, L., Ebisa, J. A., Ombe, J., & Geen Escoto, M. (2018). Sustainable ecotourism indicators with fuzzy Delphi method – A Philippine perspective. Ecological Indicators, 93, 874-888. doi:10.1016/j.ecolind.2018.05.060Torres-Delgado, A., & López Palomeque, F. (2018). The ISOST index: A tool for studying sustainable tourism. Journal of Destination Marketing & Management, 8, 281-289. doi:10.1016/j.jdmm.2017.05.005Cui, X., Fang, C., Liu, H., & Liu, X. (2019). Assessing sustainability of urbanization by a coordinated development index for an Urbanization-Resources-Environment complex system: A case study of Jing-Jin-Ji region, China. Ecological Indicators, 96, 383-391. doi:10.1016/j.ecolind.2018.09.009Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical Modelling, 9(3-5), 161-176. doi:10.1016/0270-0255(87)90473-8Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273-297. doi:10.1007/bf00994018R package version 6.0-72https://CRAN.R-project.org/package=caretnnet: Feed-Forward Neural Networks and Multinomial Log-Linear Modelshttps://cran.r-project.org/web/packages/nnet/index.htmle1071: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wienhttps://cran.r-project.org/web/packages/e1071/index.htm

Consideraciones generales para la realización de un protocolo de investigación en cirugía

Un protocolo es el documento central de un proyecto de investigación clínico y tiene en cuenta consideraciones de carácter científico, ético y reglamentario. La investigación clínico-quirúrgica pudiese incluir productos farmacéuticos, dispositivos médicos, procedimientos y diversas intervenciones relacionadas con la prevención, el diagnóstico, el tratamiento y la rehabilitación1. Hoy en día, se ha visto una transición de la cirugía tradicional a la cirugía académica, planteando objetivos que pretenden abordar cuestiones relacionadas con el éxito profesional y el desarrollo académico y científico de la cirugía; aunando conceptos quirúrgicos y no quirúrgicos

Analysis of incidence of air quality on human health: a case study on the relationship between pollutant concentrations and respiratory diseases in Kennedy, Bogotá

[EN] Thousands of deaths associated with air pollution each year could be prevented by forecasting the behavior of factors that pose risks to people's health and their geographical distribution. Proximity to pollution sources, degree of urbanization, and population density are some of the factors whose spatial distribution enables the identification of possible influence on the presence of respiratory diseases (RD). Currently, Bogota is among the cities with the poorest air quality in Latin America. Specifically, the locality of Kennedy is one of the zones in the city with the highest recorded concentration levels of local pollutants over the last 10 years. From 2009 to 2016, there were 8619 deaths associated with respiratory and cardiovascular diseases in the locality. Given these characteristics, this study set out to identify and analyze the areas in which the primary socioeconomic and environmental conditions contribute to the presence of symptoms associated with RD. To this end, information collected in field by performing georeferenced surveys was analyzed through geostatistical and machine learning tools which carried out cluster and pattern analyses. Random forests and AdaBoost were applied to establish hot spots where RD could occur, given the conjugation of predictor variables in the micro-territory. It was found that random forests outperformed AdaBoost with 0.63 AUC. In particular, this study's approach applies to densely populated municipalities with high levels of air pollution. In using these tools, municipalities can anticipate environmental health situations and reduce the cost of respiratory disease treatments.Many thanks to the members of the Intelligence and Territorial Analysis Group of the Universidad Santo Tomás for their collaboration in conducting the fieldwork.Molina-Gomez, NI.; Calderón-Rivera, DS.; Sierra-Parada, R.; Díaz Arévalo, JL.; López Jiménez, PA. (2021). Analysis of incidence of air quality on human health: a case study on the relationship between pollutant concentrations and respiratory diseases in Kennedy, Bogotá. International Journal of Biometeorology. 65(1):119-132. https://doi.org/10.1007/s00484-020-01955-4S119132651Altman DG, Bland JM (1994) Diagnostic tests 3: receiver operating characteristic plots. BMJ 309(6948):188. https://doi.org/10.1136/bmj.309.6948.188Billionnet C, Sherrill D, Annesi-Maesano I (2012) Estimating the health effects of exposure to multi-pollutant mixture. Ann Epidemiol 22:126–141. https://doi.org/10.1016/J.ANNEPIDEM.2011.11.004Bobb JF, Valeri L, Claus Henn B, Christiani DC, Wright RO, Mazumdar M, Godleski JJ, Coull BA (2015) Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures. Biostatistics 16:493–508. https://doi.org/10.1093/biostatistics/kxu058Borja-Aburto VH (2000) Ecological studies. Salud Publica Mex 42:533–538Breiman L (2001) Random forests. Mach Learn 45:5–32. https://doi.org/10.1023/A:1010933404324CRAN Comprensive R Archive Network (2018) R-3.5.2 for Windows (32/64 bit). https://cran.r-project.org/bin/windows/base/old/3.5.2/. Accessed 10 June 2019. Accessed 10 Jun 2019DANE National Administrative Department of Statistics (2018) Multi-purpose survey -MS 2017. Bogotá, ColombiaDHS (2019) SALUDATA- Health Observatory of Bogota http://saludata.saludcapital.gov.co/osb/index.php/datos-de-salud/salud-ambiental/consultaurgencias14anios/. Accessed 11 April 2019. Accessed 11 April 2019Franceschi F, Cobo M, Figueredo M (2018) Discovering relationships and forecasting PM10 and PM2.5 concentrations in Bogotá, Colombia, using artificial neural networks, principal component analysis, and k-means clustering. Atmos Pollut Res 9:912–922. https://doi.org/10.1016/j.apr.2018.02.006Galindo WG (2013) Construction dynamics by use, the locality of Kennedy 2002/2012. BogotáGarcía-Ubaque JC, García-Ubaque CA, Vaca-Bohórquez ML (2011) Medical consultation in productive age population related with air pollution levels in Bogota city. Procedia Environ Sci 4:165–169. https://doi.org/10.1016/j.proenv.2011.03.020Gorai AK, Tchounwou PB, Biswal S, Tuluri F (2018) Spatio-temporal variation of particulate matter (PM2.5) concentrations and its health impacts in a mega city, Delhi in India. Environ Health Insights 12:1–9. https://doi.org/10.1177/1178630218792861Habibi R, Alesheikh AA, Mohammadinia A, et al (2017) An assessment of spatial pattern characterization of air pollution: a case study of CO and PM2.5 in Tehran, Iran. ISPRS Int J Geo-Inf 6:270. https://doi.org/10.3390/ijgi6090270Hand DJ (2009) Measuring classifier performance: a coherent alternative to the area under the ROC curve. Mach Learn 77:103–123. https://doi.org/10.1007/s10994-009-5119-5Hernández B, Velasco-Mondragón HE (2000) Cross-sectional surveys. Salud Publica Mex 42:447–455Huang K, Xiao Q, Meng X, Geng G, Wang Y, Lyapustin A, Gu D, Liu Y (2018) Predicting monthly high-resolution PM2.5 concentrations with random forest model in the North China plain. Environ Pollut 242:675–683. https://doi.org/10.1016/j.envpol.2018.07.016IDEAM Institute of Hydrology,Meteorology and Environmental Studies (2016) State of air quality in Colombia, 2011–2015 Report. Bogotá D.C.Ivanov A, Voynikova D, Stoimenova M et al (2018) Random forests models of particulate matter PM10: a case study, in: AIP conference proceedings 2025, 030001. https://doi.org/10.1063/1.5064879Jenks GF (1967) The data model concept in statistical mapping. International Yearbook of Cartography 7:186–190Kami JA (2019) A random forest partition model for predicting NO2 concentrations from traffic flow and meteorological conditions. Sci Total Environ 651:475–483. https://doi.org/10.1016/j.scitotenv.2018.09.196Kassomenos P, Petrakis M, Sarigiannis D, Gotti A, Karakitsios S (2011) Identifying the contribution of physical and chemical stressors to the daily number of hospital admissions implementing an artificial neural network model. Air Qual Atmos Health 4:263–272. https://doi.org/10.1007/s11869-011-0139-2Kestenbaum B (2019) Epidemiology and biostatistics. Seattle, USA. https://doi.org/10.1007/978-3-319-96644-1Kuhn M, Johnson K (2016) Applied predictive modeling. New York, USA. https://doi.org/10.1007/978-1-4614-6849-3Lazcano-Ponce E, Fernández E, Salazar-Martínez E, Hernández-Avila M (2000) Cohort studies. Methodology, biases and application. Salud Publica Mex 42:230–241Li S, Batterman S, Wasilevich E, Elasaad H, Wahl R, Mukherjee B (2011) Asthma exacerbation and proximity of residence to major roads: a population-based matched case-control study among the pediatric Medicaid population in Detroit, Michigan. Environ Health 10:34. https://doi.org/10.1186/1476-069X-10-34Jin L, Heap Andrew D (2014) Spatial interpolation methods applied in the environmental sciences: a review. Environ Model Softw 53:173–189 https://doi.org/10.1016/j.envsoft.2013.12.008Ly S, Charles C, Degr A (2011) Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium. Hydrol Earth Syst Sci 15:2259–2274. https://doi.org/10.5194/hess-15-2259-2011MAVDT Ministry of Environment, Housing and Territorial Development (2010) Protocol for air quality monitoring. Bogota, ColombiaMazenq J, Dubus J-C, Gaudart J, Charpin D, Viudes G, Noel G (2017) City housing atmospheric pollutant impact on emergency visit for asthma: a classification and regression tree approach. Respir Med 132:1–8. https://doi.org/10.1016/j.rmed.2017.09.004Pandey G, Zhang B, Jian L (2013) Predicting submicron air pollution indicators: a machine learning approach. Environ Sci Processes Impacts 15:996–1005. https://doi.org/10.1039/c3em30890aPolezer G, Tadano YS, Siqueira HV, Godoi AFL, Yamamoto CI, de André PA, Pauliquevis T, Andrade MF, Oliveira A, Saldiva PHN, Taylor PE, Godoi RHM (2018) Assessing the impact of PM2.5 on respiratory disease using artificial neural networks. Environ Pollut 235:394–403. https://doi.org/10.1016/j.envpol.2017.12.111Ramírez O, Sánchez de la Campa AM, Amato F, Catacolí RA, Rojas NY, de la Rosa J (2018) Chemical composition and source apportionment of PM10 at an urban background site in a high–altitude Latin American megacity (Bogota, Colombia). Environ Pollut 233:142–155. https://doi.org/10.1016/j.envpol.2017.10.045Reid CE, Jerrett M, Tager IB, Petersen ML, Mann JK, Balmes JR (2016) Differential respiratory health effects from the 2008 northern California wildfires: a spatiotemporal approach. Environ Res 150:227–235. https://doi.org/10.1016/J.ENVRES.2016.06.012Rodríguez-Villamizar LA, Rojas-Roa NY, Blanco-Becerra LC, Herrera-Galindo V, Fernández-Niño J (2018) Short-term effects of air pollution on respiratory and circulatory morbidity in Colombia 2011−2014: a multi-city, time-series analysis. Int J Environ Res Public Health 15:2–12. https://doi.org/10.3390/ijerph15081610Rokach L, Maimon O (2015) Data mining with decision trees: theory and applications, 2nd edn. World Scientific Publishing Co. Pte. Ltd, Singapore, p 5Salam MT, Islam T, Gilliland FD (2008) Recent evidence for adverse effects of residential proximity to traffic sources on asthma. Curr Opin Pulm Med 14:3–8. https://doi.org/10.1097/MCP.0b013e3282f1987aSajjadia SA, Zolfagharib G, Adabc H et al (2017) Measurement and modeling of particulate matter concentrations: applying spatial analysis and regression techniques to assess air quality. MethodsX 4:372–390. https://doi.org/10.1016/j.mex.2017.09.006Schapire RE, Freund Y (2012) Boosting: foundations and algorithms, adaptive computation and machine learning. MIT Press, LondonSDA District Secretariat for the Environment (2017) Air quality annual report of Bogota, 2016. Bogotá, ColombiaSDP District Planning Secretariat (2018) Monograph 2017 assessment of the main territorial, infrastructure, demographic and socio-economic aspects of the locality of Kennedy 08. Bogotá, ColombiaValle Benavides AR del (2017) ROC curves (receiver-operating-characteristic) and their applications. Universidad de SevillaWeizhen H, Zhengqiang L, Yuhuan Z, et al (2014) Using support vector regression to predict PM10 and PM2.5, in: IOP conference series: Earth and Environmental Science. IOP. https://doi.org/10.1088/1755-1315/17/1/012268Westerlund J, Urbain JP, Bonilla J (2014) Application of air quality combination forecasting to Bogota. Atmos Environ 89:22–28. https://doi.org/10.1016/j.atmosenv.2014.02.015WHO (2006) WHO Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide. Global update (2005) Geneva. SwitzerlandYu Y, Yao S, Dong H, Wang L, Wang C, Ji X, Ji M, Yao X, Zhang Z (2019) Association between short-term exposure to particulate matter air pollution and cause-specific mortality in Changzhou, China. Environ Res 170:7–15. https://doi.org/10.1016/j.envres.2018.11.041Zhan Y, Luo Y, Deng X, Chen H, Grieneisen ML, Shen X, Zhu L, Zhang M (2017) Spatiotemporal prediction of continuous daily PM2.5 concentrations across China using a spatially explicit machine learning algorithm. Environ Pollut 233:464–473. https://doi.org/10.1016/j.atmosenv.2017.02.02

Diethyl 2-[(3,5-dimethyl-1H-pyrazol-1-yl)(4-meth­oxy­phen­yl)meth­yl]propane­dioate

The title compound, C20H26N2O5, was prepared in good yield (76%) through condensation of diethyl (4-meth­oxy­benz­yl)propane­dioate with 3,5-dimethyl-1H-pyrazole. The dihedral between the benzene and pyrazole rings is 83.96 (10)°. The crystal packing is stabilized by a C—H⋯O inter­action, which links the mol­ecules into centrosymmetric dimers