Multi-Temporal Analysis of Land Subsidence in Toluca Valley (Mexico) through a Combination of Persistent Scatterer Interferometry (PSI) and Historical Piezometric Data

The Toluca Valley Aquifer (TVA) is considered one of the most overexploited aquifers in Mexico because of the high rate of groundwater extraction for supplying urban and industrial water to Mexico City and Toluca City, which causes land subsidence in urban and suburban areas. In this paper, we propose a multi-temporal analysis that uses persistent scatterer interferometry (PSI) method to evaluate the subsidence processes in Toluca Valley. The PSI results revealed differentialn movements of the ground of as much as 83 mm/year. A spatial variation of PSI results was identified with respect to previous studies using the conventional Din SAR methodology. The spatial distribution and density suggested the possibility of an expanding trend of subsidence process at north, northeast and east of the TVA, which corresponds to the region with the highest density of pumping wells for industrial and agricultural usePRODEP, CONACY

Procesos de subsidencias en la ciudad de Toluca y alrededores asociadas a la sobreexplotación de los mantos acuíferos. una aproximación a partir de correlación de técnicas radar y datos geológicos superficiales

El crecimiento urbano desmedido en México ha causado diversos impactos negativos en el ambiente. Entre los problemas ambientales más sentidos en la sociedad es la escasez de agua. La Ciudad de Toluca se encuentra asentada sobre el Acuífero del Valle de Toluca (AVT), siendo considerado el segundo más sobreexplotado de México debido a la cantidad de población que depende de su aprovechamiento. En el presente trabajo se empleó una técnica de Interferometría de Radar (InSAR), conocida como Persistent Scatterer (PS) para la evaluación multitemporal (2003-2010) de procesos de subsidencia asociados al abatimiento del AVT. Para ello se utilizó imágenes complejas de radar del sensor ENVISAT-ASAR, de donde se obtuvieron valores promedio de deformación superficial anual a escala milimétrica. El proceso de validación del método PS consistió en la correlación de columnas estratigráficas y estimación de curvas de abatimiento. Los resultados derivados del análisis mostraron velocidades máximas de subsidencia de hasta 69 mm/año que se concentran en el área este-noreste de la Ciudad de Toluca, la ubicación de las deformaciones guarda una relación intrínseca con secuencias de depósitos vulcanoclasticos y lacustres ricos en arcilla. De igual forma, dichas áreas de subsidencia máxima corresponden con la mayor concentración de los pozos de extracción de agua.CONACY

The role of multimorbidity in short-term mortality of lung cancer patients in Spain: a population-based cohort study

M.A.L.F. received support from the Instituto de Salud Carlos III, Madrid, Spain (grant/award no. CP17/00206-EU-FEDER). This work was supported by the Instituto de Salud Carlos III, Madrid, Spain [EU-FEDER-FIS PI-18/01593], the Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiologia y Salud Publica), the Cancer Epidemiological Surveillance Subprogram (VICA) from the Instituto de Salud Carlos III, Madrid, Spain, and the Andalusian Department of Health [PI-0152/2017]. The funders had no role in the design and conduct of the study, data collection, management, analysis, and interpretation of the data, the preparation, review, or approval of the manuscript or the decision to submit the manuscript for publication.Aim: Chronic diseases often occur simultaneously and tend to be associated with adverse health outcomes, but limited research has been undertaken to understand their role in lung cancer mortality. Therefore, this study aims to describe the prevalence and patterns of having one (comorbidity) or ≥ 2 chronic diseases (multimorbidity) among lung cancer patients in Spain, and to examine the association between comorbidity or multimorbidity and short-term mortality risk at six months after cancer diagnosis. Methods: In this population-based cohort study, data were drawn from two Spanish population-based cancer registries, Girona and Granada, and electronic health records. We identified 1259 adult lung cancer patients, diagnosed from 1st January 2011 to 31st December 2012. We identified the most common patterns of individual comorbidities and their pairwise correlations. We used a flexible parametric modelling approach to assess the overall short-term mortality risk 6 months after cancer diagnosis by levels of comorbidity after adjusting for age, sex, smoking status, province of residence, surgery, cancer stage, histology, and body mass index. Results: We found high prevalence of comorbidity in lung cancer patients, especially among the elderly, men, those diagnosed with advanced-stage tumours, smokers, and obese patients. The most frequent comorbidities were chronic obstructive pulmonary disease (36.6%), diabetes (20.7%) and heart failure (16.8%). The strongest pairwise correlation was the combination of heart failure with renal disease (r = 0.20, p < 0.01), and heart failure with diabetes (r = 0.16, p < 0.01). Patients with either one or two or more comorbidities had 40% higher overall mortality risk than those without comorbidities (aHR for comorbidity: 1.4, 95%CI: 1.1–1.7; aHR for multimorbidity: 1.4, 95%CI: 1.1–1.8), when relevant confounding factors were considered. Conclusions: The presence of comorbid diseases, rather than the number of comorbidities, was associated with increasing the risk of short-term lung cancer mortality in Spain. Comorbidity was a consistent and independent predictor of mortality among lung cancer patients, six months after diagnosis. The most common comorbid conditions were age-, obesity- and tobacco-related diseases. Our findings highlight the need to develop targeted preventive interventions and more personalised clinical guidelines to address the needs of lung cancer patients with one or more comorbidities in Spain.Instituto de Salud Carlos III CP17/00206-EU-FEDER EU-FEDER-FIS PI-18/01593Consortium for Biomedical Research in Epidemiology and Public Health (CIBER en Epidemiologia y Salud Publica)Cancer Epidemiological Surveillance Subprogram (VICA) from the Instituto de Salud Carlos III, Madrid, SpainAndalusian Department of Health PI-0152/201

Enfrentando los riesgos socionaturales

El objetivo del libro es comprender la magnitud de los Riesgos Socionaturales en México y Latinoamérica, para comprender el peligro que existe por algún tipo de desastre, ya sea inundaciones, sismos, remoción en masa, entre otros, además conocer qué medidas preventivas, correctivas y de contingencias existen para estar atentos ante alguna señal que la naturaleza esté enviando y así evitar alguna catástrofe. El libro se enfoca en los aspectos básicos de análisis de los peligros, escenarios de riesgo, vulnerabilidad y resiliencia, importantes para la gestión prospectiva o preventiva

Circulating tumor cells criteria (CyCAR) versus standard RECIST criteria for treatment response assessment in metastatic colorectal cancer patients

The use of circulating tumor cells (CTCs) as indicators of treatment response in metastatic colorectal cancer (mCRC) needs to be clarified. The objective of this study is to compare the Response Evaluation Criteria in Solid Tumors (RECIST) with the Cytologic Criteria Assessing Response (CyCAR), based on the presence and phenotypic characterization of CTCs, as indicators of FOLFOX–bevacizumab treatment response. We observed a decrease of CTCs (42.8 vs. 18.2%) and VEGFR positivity (69.7% vs. 41.7%) after treatment. According to RECIST, 6.45% of the patients did not show any clinical benefit, whereas 93.55% patients showed a favorable response at 12 weeks. According to CyCAR, 29% had a non-favorable response and 71% patients did not. No significant differences were found between the response assessment by RECIST and CyCAR at 12 or 24 weeks. However, in the multivariate analysis, RECIST at 12 weeks and CyCAR at 24 weeks were independent prognostic factors for OS (HR: 0.1, 95% CI 0.02–0.58 and HR: 0.35, 95% CI 0.12–0.99 respectively). CyCAR results were comparable to RECIST in evaluating the response in mCRC and can be used as an alternative when the limitation of RECIST requires additional response analysis techniques.This work was supported by Roche Spain and a Ph.D. grant from the University of Granada

Tendencias y retos de la geografía en América Latina en el siglo XXI: una perspectiva desde el VII CGAL

Su estructura contempla siete capítulos: en el primero denominado Origen y devenir histórico del Coloquio Geográfico sobre América Latina de la Facultad de Geografía de la UAEM de los autores Carlos Reyes Torres, Agustín Olmos Cruz y Fernando Carreto Bernal, integrantes del Cuerpo Académico en Educación y Enseñanza de la Geografía, da cuenta del origen de los Coloquios Geográficos de AL, estableciendo sus etapas de desarrollo desde 1993 al 2014, caracterizando sus comités organizadores, ejes temáticos, así como la representación de los ponentes de las instituciones y países participantes. La relevancia de estos estudios radica en la recuperación de la historia de los eventos para fomentar la identidad y sentido de pertenencia con la disciplina y con la institución.El presente libro intitulado Tendencias y retos de la geografía en América Latina en el siglo XXI: una perspectiva desde el VII CGAL, es un producto derivado del 7° Coloquio Geográfico sobre América Latina, celebrado en desde hace ya dos décadas en la Facultad de Geografía de la Universidad Autónoma del Estado de México, convocando con el eje temático sobre “Las Tendencias y retos de la Geografía en América Latina en el siglo XXI”Universidad Autónoma del Estado de México Facultad de Geografí

Una perspectiva multidisciplinaria

Derivado de la necesidad de fomentar la investigación multidisciplinaria, la Facultad de Economía de la Universidad Autónoma del Estado de México llevó a cabo los días 8 y 9 de septiembre de 2016, el VIII Coloquio de Investigación intitulado “Desarrollo económico, regional y sustentable”. En este magno evento se presentaron 36 ponencias agrupadas en cinco mesas de trabajo: sectores productivos, crecimiento económico y mercado de trabajo; tecnología, innovación y organizaciones; desigualdad regional, pobreza y migración; economía financiera e internacional; y medio ambiente y sociedad. Del material expuesto en el VIII Coloquio, se eligieron 16 investigaciones, mismas que integran este libro. Los estudios presentados en cada uno de los subsiguientes capítulos fueron seleccionados de acuerdo a un proceso de rigurosidad científica, siendo sometidos a dictamen por pares ciegos a partir de la integración de un Comité Académico de expertos. Lo anterior con la finalidad de proporcionar al lector un material de investigación de calidad y solidez científica respecto a temas de trascendencia vinculados con los sectores productivos, la innovación, las organizaciones, la responsabilidad social, la desigualdad, la educación y el medioambiente.Consecuencia de la apertura de los mercados y los preceptos competitivos dictados por la globalización, se manifiesta la necesidad de vincular los diversos saberes provenientes de las ciencias naturales y sociales, con el fin de complementar el conocimiento y generar nuevas formas de visualizar el entorno. A raíz de ello, la investigación multidisciplinaria asume un papel cada vez más importante en los círculos académicos, empresariales y gubernamentales. En este marco, entra en desuso la visualización del individuo como un sujeto atomístico desvinculado del medio ambiente que le rodea. El objetivo de este libro es otorgar una visión multidisciplinaria al estudio de temas económicos incorporando visiones teóricas y empíricas procedentes de las ciencias sociales y naturales. La obra está compuesta por 16 capítulos agrupados en cuatro secciones. La primera parte, conglomera cinco capítulos en torno a los tópicos sectores productivos y crecimiento económico.Facultad de Economía. Universidad Autónoma del Estado de Méxic

Ciencias del Agua: perspectiva desde la académia

En este libro se realiza un importante esfuerzo que abre un camino por el que deben avanzar la gestión gubernamental y la conciencia pública, para emprender acciones de prevención ante actos que vulneren el equilibrio del ambiente en las entidades y la salud de sus pobladores.A lo largo de 17 capítulos se estudian temas como el tratamiento de aguas y control de la contaminación, hidrología y gestión integrada del agua. En la remoción de contaminantes se analiza la electrosíntesis de oxidantes, oxidación avanzada, procesos anaerobios y desinfección; así como los lodos provenientes de la depuración del agua. En hidrología se tratan temas como el sistema de modelos termohidrológicos, diseño de redes de monitoreo de niveles piezométricos, vulnerabilidad y protección de acuíferos.Universidad Autónoma del Estado de México

External validation of a prediction model for estimating fat mass in children and adolescents in 19 countries: individual participant data meta-analysis

OBJECTIVE: To evaluate the performance of a UK based prediction model for estimating fat-free mass (and indirectly fat mass) in children and adolescents in non-UK settings. DESIGN: Individual participant data meta-analysis. SETTING: 19 countries. PARTICIPANTS: 5693 children and adolescents (49.7% boys) aged 4 to 15 years with complete data on the predictors included in the UK based model (weight, height, age, sex, and ethnicity) and on the independently assessed outcome measure (fat-free mass determined by deuterium dilution assessment). MAIN OUTCOME MEASURES: The outcome of the UK based prediction model was natural log transformed fat-free mass (lnFFM). Predictive performance statistics of R2, calibration slope, calibration-in-the-large, and root mean square error were assessed in each of the 19 countries and then pooled through random effects meta-analysis. Calibration plots were also derived for each country, including flexible calibration curves. RESULTS: The model showed good predictive ability in non-UK populations of children and adolescents, providing R2 values of >75% in all countries and >90% in 11 of the 19 countries, and with good calibration (ie, agreement) of observed and predicted values. Root mean square error values (on fat-free mass scale) were <4 kg in 17 of the 19 settings. Pooled values (95% confidence intervals) of R2, calibration slope, and calibration-in-the-large were 88.7% (85.9% to 91.4%), 0.98 (0.97 to 1.00), and 0.01 (-0.02 to 0.04), respectively. Heterogeneity was evident in the R2 and calibration-in-the-large values across settings, but not in the calibration slope. Model performance did not vary markedly between boys and girls, age, ethnicity, and national income groups. To further improve the accuracy of the predictions, the model equation was recalibrated for the intercept in each setting so that country specific equations are available for future use. CONCLUSION: The UK based prediction model, which is based on readily available measures, provides predictions of childhood fat-free mass, and hence fat mass, in a range of non-UK settings that explain a large proportion of the variability in observed fat-free mass, and exhibit good calibration performance, especially after recalibration of the intercept for each population. The model demonstrates good generalisability in both low-middle income and high income populations of healthy children and adolescents aged 4-15 years

External validation of a prediction model for estimating fat mass in children and adolescents in 19 countries: individual participant data meta-analysis

Peer reviewed: TrueAcknowledgements: We thank John Reilly for his advice on data sources and data access; Cara L Eckhardt, Josephine Avila, Igor Y Kon, and Jinzhong Wang from the Eckhardt et al study23; and all staff involved in recruitment and data collection from the included studies. Data gathered from South Africa was supported by South Africa Medical Research Council and National Research Foundation.Objective To evaluate the performance of a UK based prediction model for estimating fat-free mass (and indirectly fat mass) in children and adolescents in non-UK settings. Design Individual participant data meta-analysis. Setting 19 countries. Participants 5693 children and adolescents (49.7% boys) aged 4 to 15 years with complete data on the predictors included in the UK based model (weight, height, age, sex, and ethnicity) and on the independently assessed outcome measure (fat-free mass determined by deuterium dilution assessment). Main outcome measures The outcome of the UK based prediction model was natural log transformed fat-free mass (lnFFM). Predictive performance statistics of R2 , calibration slope, calibration-in-the-large, and root mean square error were assessed in each of the 19 countries and then pooled through random effects meta-analysis. Calibration plots were also derived for each country, including flexible calibration curves. Results The model showed good predictive ability in non-UK populations of children and adolescents, providing R2 values of >75% in all countries and >90% in 11 of the 19 countries, and with good calibration (ie, agreement) of observed and predicted values. Root mean square error values (on fat-free mass scale) were <4 kg in 17 of the 19 settings. Pooled values (95% confidence intervals) of R2 , calibration slope, and calibration-in-the-large were 88.7% (85.9% to 91.4%), 0.98 (0.97 to 1.00), and 0.01 (−0.02 to 0.04), respectively. Heterogeneity was evident in the R2 and calibration-in-the-large values across settings, but not in the calibration slope. Model performance did not vary markedly between boys and girls, age, ethnicity, and national income groups. To further improve the accuracy of the predictions, the model equation was recalibrated for the intercept in each setting so that country specific equations are available for future use. Co nclusion The UK based prediction model, which is based on readily available measures, provides predictions of childhood fat-free mass, and hence fat mass, in a range of non-UK settings that explain a large proportion of the variability in observed fat-free mass, and exhibit good calibration performance, especially after recalibration of the intercept for each population. The model demonstrates good generalisability in both low-middle income and high income populations of healthy children and adolescents aged 4-15 year