17 research outputs found

    Modelo de gestión urbana sostenible

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    Este libro tiene como propósito brindar al lector un compendio de opiniones y puntos de vista generados por expertos desde diferentes áreas del conocimiento, que le permitan tener una visión global de los elementos que se deben considerar cuando se busca entender y generar soluciones a problemas que emergen de sistemas urbanos. Vale mencionar que lo presentado aquí no contiene todos los puntos de vista y opiniones posibles, y que en muchos casos es factible aportar desde algún tópico no incluido aquí. Este libro está dirigido a todas aquellas personas que tengan algún interés en el análisis de problemas urbanos, así como a un público más amplio que pueda encontrar aquí ideas y opiniones que le permitan formarse las suyas propias sobre estos asuntos

    Innovar para Educar: Prácticas universitarias exitosas. Tomo 5

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    La Universidad del Norte y el Centro para la Excelencia Docente (CEDU), interesados en compartir con la comunidad académica y público en general las experiencias pedagógicas exitosas realizadas por docentes de diferentes áreas disciplinares, trae ahora el tomo 5 de la colección “Innovar para Educar: Prácticas universitarias exitosas”, en donde encontrarán 8 capítulos que describen las diferentes propuestas de 14 docentes de la institución, que en un momento de reflexión decidieron cambiar el desarrollo habitual de sus clases. Este impulso los condujo por caminos de planificación, implementación y evaluación sistemática que hoy se ven reflejados en su buena práctica de aula y en los resultados de aprendizaje de sus estudiantes

    Multi-parametric MR Imaging Biomarkers Associated to Clinical Outcomes in Gliomas: A Systematic Review

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    [EN] Purpose: To systematically review evidence regarding the association of multi-parametric biomarkers with clinical outcomes and their capacity to explain relevant subcompartments of gliomas. Materials and Methods: Scopus database was searched for original journal papers from January 1st, 2007 to February 20th , 2017 according to PRISMA. Four hundred forty-nine abstracts of papers were reviewed and scored independently by two out of six authors. Based on those papers we analyzed associations between biomarkers, subcompartments within the tumor lesion, and clinical outcomes. From all the articles analyzed, the twenty-seven papers with the highest scores were highlighted to represent the evidence about MR imaging biomarkers associated with clinical outcomes. Similarly, eighteen studies defining subcompartments within the tumor region were also highlighted to represent the evidence of MR imaging biomarkers. Their reports were critically appraised according to the QUADAS-2 criteria. Results: It has been demonstrated that multi-parametric biomarkers are prepared for surrogating diagnosis, grading, segmentation, overall survival, progression-free survival, recurrence, molecular profiling and response to treatment in gliomas. Quantifications and radiomics features obtained from morphological exams (T1, T2, FLAIR, T1c), PWI (including DSC and DCE), diffusion (DWI, DTI) and chemical shift imaging (CSI) are the preferred MR biomarkers associated to clinical outcomes. Subcompartments relative to the peritumoral region, invasion, infiltration, proliferation, mass effect and pseudo flush, relapse compartments, gross tumor volumes, and high-risk regions have been defined to characterize the heterogeneity. For the majority of pairwise cooccurrences, we found no evidence to assert that observed co-occurrences were significantly different from their expected co-occurrences (Binomial test with False Discovery Rate correction, alpha=0.05). The co-occurrence among terms in the studied papers was found to be driven by their individual prevalence and trends in the literature. Conclusion: Combinations of MR imaging biomarkers from morphological, PWI, DWI and CSI exams have demonstrated their capability to predict clinical outcomes in different management moments of gliomas. Whereas morphologic-derived compartments have been mostly studied during the last ten years, new multi-parametric MRI approaches have also been proposed to discover specific subcompartments of the tumors. MR biomarkers from those subcompartments show the local behavior within the heterogeneous tumor and may quantify the prognosis and response to treatment of gliomas.This work was supported by the Spanish Ministry for Investigation, Development and Innovation project with identification number DPI2016-80054-R.Oltra-Sastre, M.; Fuster García, E.; Juan -Albarracín, J.; Sáez Silvestre, C.; Perez-Girbes, A.; Sanz-Requena, R.; Revert-Ventura, A.... (2019). Multi-parametric MR Imaging Biomarkers Associated to Clinical Outcomes in Gliomas: A Systematic Review. Current Medical Imaging Reviews. 15(10):933-947. https://doi.org/10.2174/1573405615666190109100503S9339471510Louis D.N.; Perry A.; Reifenberger G.; The 2016 world health organization classification of tumors of the central nervous system: a summary. 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Radiology 2011,259(2),540-549Xintao H.; Wong K.K.; Young G.S.; Guo L.; Wong S.T.; Support vector machine multi-parametric MRI identification of pseudoprogression from tumor recurrence in patients with resected glioblastoma. J Magn Reson Imaging 2011,33(2),296Ingrisch M.; Schneider M.J.; Nörenberg D.; Radiomic Analysis reveals prognostic information in T1-weighted baseline magnetic resonance imaging in patients with glioblastoma. Invest Radiol 2017,52(6),360-366Ulyte A.; Katsaros V.K.; Liouta E.; Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients. Neuroradiology 2016,58(12),1197-1208O’Neill A.F.; Qin L.; Wen P.Y.; de Groot J.F.; Van den Abbeele A.D.; Yap J.T.; Demonstration of DCE-MRI as an early pharmacodynamic biomarker of response to VEGF Trap in glioblastoma. J Neurooncol 2016,130(3),495-503Kickingereder P.; Bonekamp D.; Nowosielski M.; Radiogenomics of glioblastoma: machine learning-based classification of molecular characteristics by using multiparametric and multiregional mr imaging features. Radiology 2016,281(3),907-918Roberto S-R.; Antonio R-V.; Luis M-B.; Angel A-B.; Gracián G-M.; Quantitative mr perfusion parameters related to survival time in high-grade gliomas. European Radiology 2013,23(12),3456-3465Jain R.; Poisson L.; Narang J.; Genomic mapping and survival prediction in glioblastoma: molecular subclassification strengthened by hemodynamic imaging biomarkers. Radiology 2013,267(1),212-220Fathi K.A.; Mohseni M.; Rezaei S.; Bakhshandehpour G.; Saligheh R.H.; Multi-parametric (ADC/PWI/T2-W) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme. MAGMA 2015,28(1),13-22Caulo M.; Panara V.; Tortora D.; Data-driven grading of brain gliomas: a multiparametric MR imaging study. Radiology 2014,272(2),494-503Alexiou G.A.; Zikou A.; Tsiouris S.; Comparison of diffusion tensor, dynamic susceptibility contrast MRI and (99m)Tc-Tetrofosmin brain SPECT for the detection of recurrent high-grade glioma. Magn Reson Imaging 2014,32(7),854-859Van Cauter S.; De Keyzer F.; Sima D.M.; Integrating diffusion kurtosis imaging, dynamic susceptibility-weighted contrast-enhanced MRI, and short echo time chemical shift imaging for grading gliomas. Neuro-oncol 2014,16(7),1010-1021Seeger A.; Braun C.; Skardelly M.; Comparison of three different MR perfusion techniques and MR spectroscopy for multiparametric assessment in distinguishing recurrent high-grade gliomas from stable disease. Acad Radiol 2013,20(12),1557-1565Chawalparit O.; Sangruchi T.; Witthiwej T.; Diagnostic performance of advanced mri in differentiating high-grade from low-grade gliomas in a setting of routine service. 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    International nosocomial infection control consortium (INICC) report, data summary of 36 countries, for 2004-2009

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    The results of a surveillance study conducted by the International Nosocomial Infection Control Consortium (INICC) from January 2004 through December 2009 in 422 intensive care units (ICUs) of 36 countries in Latin America, Asia, Africa, and Europe are reported. During the 6-year study period, using Centers for Disease Control and Prevention (CDC) National Healthcare Safety Network (NHSN; formerly the National Nosocomial Infection Surveillance system [NNIS]) definitions for device-associated health care-associated infections, we gathered prospective data from 313,008 patients hospitalized in the consortium's ICUs for an aggregate of 2,194,897 ICU bed-days. Despite the fact that the use of devices in the developing countries' ICUs was remarkably similar to that reported in US ICUs in the CDC's NHSN, rates of device-associated nosocomial infection were significantly higher in the ICUs of the INICC hospitals; the pooled rate of central line-associated bloodstream infection in the INICC ICUs of 6.8 per 1,000 central line-days was more than 3-fold higher than the 2.0 per 1,000 central line-days reported in comparable US ICUs. The overall rate of ventilator-associated pneumonia also was far higher (15.8 vs 3.3 per 1,000 ventilator-days), as was the rate of catheter-associated urinary tract infection (6.3 vs. 3.3 per 1,000 catheter-days). Notably, the frequencies of resistance of Pseudomonas aeruginosa isolates to imipenem (47.2% vs 23.0%), Klebsiella pneumoniae isolates to ceftazidime (76.3% vs 27.1%), Escherichia coli isolates to ceftazidime (66.7% vs 8.1%), Staphylococcus aureus isolates to methicillin (84.4% vs 56.8%), were also higher in the consortium's ICUs, and the crude unadjusted excess mortalities of device-related infections ranged from 7.3% (for catheter-associated urinary tract infection) to 15.2% (for ventilator-associated pneumonia). Copyright © 2012 by the Association for Professionals in Infection Control and Epidemiology, Inc. Published by Elsevier Inc. All rights reserved

    Celdas de combustible Una alternativa amigable con el medio ambiente para la generación de potencia y su impacto en el desarrollo sostenible de Colombia en el siglo xxi

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    Este artículo trata sobre la utilización en un futuro próximo de las celdas de combustible como fuente de generación de potencia; así como también de su forma de operación, su eficiencia y rendimiento, previa descripción de la misma

    Análisis comparativo de un modelo teórico de mediciones sonoras y el software SOUNDPLAN Ver. 6.2 aplicado a el tráfico vehicular

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    A nivel internacional se ha demostrado que la contaminación acústica es uno de los principales impactos ambientales que afecta a la población y al medio urbano, y su diversidad en fuentes e intensidades sonoras dificulta mucho su control. El control y la evaluación del impacto ambiental en la infraestructura vial es relativamente reciente en los países en vía de desarrollo y la tendencia mundial apunta en la incorporación de los estudios de impacto ambiental dentro de los planes de ordenamiento territorial y la disponibilidad de herramientas ambientales que permitan desarrollar los planes, programas y proyectos preventivos correctivos o de seguimiento con el fin de identificar las fuentes generadoras potenciales que futuros proyectos urbanos generarían en el medio ambiente. Debido a la importancia en el ámbito urbano, el Ministerio De Ambiente, Vivienda y Desarrollo Territorial, MAVDT, emitió la resolución 0627 del 7 de abril de 2006, con el fin de establecer niveles máximos de ruido y la elaboración de los mapas de ruidos por parte de las autoridades ambientales. Un modelo de predicción de ruido del parque vehicular es una herramienta que permite determinar los niveles de intensidades sonoras y simular varias situaciones adversas y favorables que se producirán en una vía de circulación de tráfico rodado o bien una modificación a una vía existente.En este estudio se realizará una comparación de los resultados arrojados por un modelo teórico y uno computacional, la cual nos permitirá validar el modelo teórico y reconocer la desviación porcentual entre sus intensidades sonoras calculadas. Con los resultados obtenidos se realizará una correlación con la normatividad vigente colombiana y otra norma alemana RLS90 con el fin de conocer la desviación existente con los niveles permisibles legales. La modelación computacional también nos permitirá predecir el ruido generado por el crecimiento del flujo vehicular y realizar recomendaciones para reducir la contaminación acústica en el sector urbano

    Artificial intelligence for aging and longevity research: Recent advances and perspectives

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