Use of statistical techniques to evaluate the potential environmental impact to the groundwater from the employment of agricultural chemicals: Application to Campo de Cartagena GWB

La Directiva Marco del Agua y la Directiva de Aguas Subterráneas, desarrollada a través del artículo 17 de la primera, establecen una serie de requerimientos a los Estados Miembros con objeto de prevenir y luchar contra la contaminación de las aguas subterráneas. Las redes de observación proporcionan dicha información, verificando si la concentración de una sustancia determinada supera los umbrales ambientales en los puntos de control. Los límites de evaluación representan la máxima concentración admisible en dichos puntos. Cuando se evalúa el impacto potencial en el agua subterránea asociado a las actividades agrícolas, los parámetros relevantes son nitratos y pesticidas. La aplicación de técnicas estadísticas permite obtener concentraciones representativas, que pueden ser comparadas con los estándares ambientales. Con objeto de evaluar los impactos potenciales sobre el medio ambiente en general y el agua subterránea en particular en relación con la utilización rutinaria de productos químicos en la agricultura, se proporciona una visión de conjunto de la aplicación de técnicas estadísticas básicas, incluyendo análisis espacial y temporal. Este último se realiza mediante el análisis exploratorio de datos y ensayos de Mann-Kendall, mientras que el krigeaje es la técnica de referencia en el análisis espacialUnder article 17 of Water Framework Directive and the Groundwater Daughter Directive the Member States are required to provide measures to prevent and control groundwater pollution. Information on the concentration of a substance should be obtained from groundwater monitoring data. Pollution will be prevented if groundwater quality does not exceed a relevant assessment limit at an assessment point. Assessment limits represent the maximum concentration of a substance that should be present at the assessment point. When assessing the potential environmental impact to groundwater associated with agricultural activities, nitrates and pesticides are the relevant parameters.A number of techniques can then be applied to statistically derive a representative concentration for comparison to environmental standards.An insight into the ways in which basic statistical tools can be applied to evaluate potential impacts to the state of the environment, and water in particular, from the routine application of agricultural chemicals is provided. These include temporal and spatial analysis. Temporal evaluation is accomplished by means of exploratory data analysis and Mann Kendall trend test, while spatial analysis is realized by using kriging technique

(árabe - العربية‎) 2024 الرزنامة الدراسية العلمية

El proyecto “Calendario Científico Escolar 2024” ha consistido en la elaboración de un calendario dirigido al alumnado de educación primaria y secundaria obligatoria. Cada día se ha recogido un aniversario científico o tecnológico como, por ejemplo, nacimientos de personas de estos ámbitos o conmemoraciones de hallazgos destacables. Además, el calendario se acompaña de una guía didáctica con orientaciones para el aprovechamiento educativo transversal del calendario en las clases, incluyendo actividades adaptadas a cada rango de edad y al alumnado con necesidades especiales. Se trata de la cuarta edición de este proyecto de divulgación científica.El proyecto “Calendario Científico Escolar 2024” ha consistido en la elaboración de un calendario dirigido al alumnado de educación primaria y secundaria obligatoria. Cada día se ha recogido un aniversario científico o tecnológico como, por ejemplo, nacimientos de personas de estos ámbitos o conmemoraciones de hallazgos destacables. Además, el calendario se acompaña de una guía didáctica con orientaciones para el aprovechamiento educativo transversal del calendario en las clases, incluyendo actividades adaptadas a cada rango de edad y al alumnado con necesidades especiales. Se trata de la cuarta edición de este proyecto de divulgación científica.Instituto Geológico y Minero de España (IGME); Instituto de Recursos Naturales y Agrobiología de Salamanca (IRNASA); Centro de Biología Molecular Severo Ochoa (CBMSO); Instituto Español de Oceanografía (IEO); Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA); Museo Nacional de Ciencias Naturales (MNCN); Centre d'Estudis Avançats de Blanes (CEAB); Institut d’Investigació en Intel.ligéncia Artificial (IIIA); Institut de Microelectrònica de Barcelona - Centre Nacional de Microelectrònica (IMB-CNM); Institut de Ciències del Mar (ICM, CSIC). Discapacitodos; Mujeres con Ciencia; Comisión Mujeres y Ciencia de la Sociedad Geológica de España; Asociación Española para el Avance de la Ciencia (AEAC); PRISMA – Asociación para la diversidad afectivo-sexual y de género en ciencia, tecnología e innovación; Círculo Escéptico; Universitat de les Illes Balears (UIB); Asociaţia Secular-Umanistă din România; Civiencia; Universidad Autónoma de Madrid; Evento Ciencia; Europa Laica; Canaima; Universitat Autònoma de Barcelona; Fundación Odón de BuenPeer reviewe

D-Piper (Diagrama Piper de Densidad): representación de grandes conjuntos de datos mediante el Diagrama de Piper: manual de uso

36 p.D-Piper es un software diseñado para representar grandes conjuntos de análisis químicos de agua en un único gráfico de Piper conservando toda la información relevante. Los grupos de análisis representados pueden tener cualquier tamaño, no hay límite, de hecho cuanto más grande es el grupo mayor es la utilidad del gráfico pues la estructura interna de la información se desvela con más claridad. D-Piper también permite dibujar los diagramas de Piper clásicos e incluye en los mismos, además de opciones como el color y tamaño de los puntos y la posibilidad de superponer el diagrama clásico y el D-Piper, otras menos frecuentes como incluir puntos traslúcidos o modificar el tamaño de las celdas del diagrama. En esta publicación se explica en detalle la utilidad y funcionamiento de D-Piper, se muestran los principios matemáticos sobre los que se fundamenta su construcción y se incluye información de utilidad para quien desee modificar el código. D-Piper es un software gratuito y de libre distribución, escrito en lenguaje Python y distribuido bajo licencia GPL 3.0, el código puede ser usado y compartido libremente con la única condición de citar adecuadamente la fuente original no permitiéndose el uso comercial. Los aspectos técnicos y de desarrollo, así como el código fuente, han sido publicados en la revista Environmental Modelling and SoftwareInstituto Geológico y Minero de España, Españ

Global variation in postoperative mortality and complications after cancer surgery: a multicentre, prospective cohort study in 82 countries

© 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 licenseBackground: 80% of individuals with cancer will require a surgical procedure, yet little comparative data exist on early outcomes in low-income and middle-income countries (LMICs). We compared postoperative outcomes in breast, colorectal, and gastric cancer surgery in hospitals worldwide, focusing on the effect of disease stage and complications on postoperative mortality. Methods: This was a multicentre, international prospective cohort study of consecutive adult patients undergoing surgery for primary breast, colorectal, or gastric cancer requiring a skin incision done under general or neuraxial anaesthesia. The primary outcome was death or major complication within 30 days of surgery. Multilevel logistic regression determined relationships within three-level nested models of patients within hospitals and countries. Hospital-level infrastructure effects were explored with three-way mediation analyses. This study was registered with ClinicalTrials.gov, NCT03471494. Findings: Between April 1, 2018, and Jan 31, 2019, we enrolled 15 958 patients from 428 hospitals in 82 countries (high income 9106 patients, 31 countries; upper-middle income 2721 patients, 23 countries; or lower-middle income 4131 patients, 28 countries). Patients in LMICs presented with more advanced disease compared with patients in high-income countries. 30-day mortality was higher for gastric cancer in low-income or lower-middle-income countries (adjusted odds ratio 3·72, 95% CI 1·70–8·16) and for colorectal cancer in low-income or lower-middle-income countries (4·59, 2·39–8·80) and upper-middle-income countries (2·06, 1·11–3·83). No difference in 30-day mortality was seen in breast cancer. The proportion of patients who died after a major complication was greatest in low-income or lower-middle-income countries (6·15, 3·26–11·59) and upper-middle-income countries (3·89, 2·08–7·29). Postoperative death after complications was partly explained by patient factors (60%) and partly by hospital or country (40%). The absence of consistently available postoperative care facilities was associated with seven to 10 more deaths per 100 major complications in LMICs. Cancer stage alone explained little of the early variation in mortality or postoperative complications. Interpretation: Higher levels of mortality after cancer surgery in LMICs was not fully explained by later presentation of disease. The capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Early death after cancer surgery might be reduced by policies focusing on strengthening perioperative care systems to detect and intervene in common complications. Funding: National Institute for Health Research Global Health Research Unit

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

© 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground: Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide. Methods: A multimethods analysis was performed as part of the GlobalSurg 3 study—a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital. Findings: Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3·85 [95% CI 2·58–5·75]; p<0·0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63·0% vs 82·7%; OR 0·35 [0·23–0·53]; p<0·0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer. Interpretation: Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised. Funding: National Institute for Health and Care Research

Effects of pre-operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study an international prospective cohort study

We aimed to determine the impact of pre-operative isolation on postoperative pulmonary complications after elective surgery during the global SARS-CoV-2 pandemic. We performed an international prospective cohort study including patients undergoing elective surgery in October 2020. Isolation was defined as the period before surgery during which patients did not leave their house or receive visitors from outside their household. The primary outcome was postoperative pulmonary complications, adjusted in multivariable models for measured confounders. Pre-defined sub-group analyses were performed for the primary outcome. A total of 96,454 patients from 114 countries were included and overall, 26,948 (27.9%) patients isolated before surgery. Postoperative pulmonary complications were recorded in 1947 (2.0%) patients of which 227 (11.7%) were associated with SARS-CoV-2 infection. Patients who isolated pre-operatively were older, had more respiratory comorbidities and were more commonly from areas of high SARS-CoV-2 incidence and high-income countries. Although the overall rates of postoperative pulmonary complications were similar in those that isolated and those that did not (2.1% vs 2.0%, respectively), isolation was associated with higher rates of postoperative pulmonary complications after adjustment (adjusted OR 1.20, 95%CI 1.05–1.36, p = 0.005). Sensitivity analyses revealed no further differences when patients were categorised by: pre-operative testing; use of COVID-19-free pathways; or community SARS-CoV-2 prevalence. The rate of postoperative pulmonary complications increased with periods of isolation longer than 3 days, with an OR (95%CI) at 4–7 days or ≥ 8 days of 1.25 (1.04–1.48), p = 0.015 and 1.31 (1.11–1.55), p = 0.001, respectively. Isolation before elective surgery might be associated with a small but clinically important increased risk of postoperative pulmonary complications. Longer periods of isolation showed no reduction in the risk of postoperative pulmonary complications. These findings have significant implications for global provision of elective surgical care. We aimed to determine the impact of pre-operative isolation on postoperative pulmonary complications after elective surgery during the global SARS-CoV-2 pandemic. We performed an international prospective cohort study including patients undergoing elective surgery in October 2020. Isolation was defined as the period before surgery during which patients did not leave their house or receive visitors from outside their household. The primary outcome was postoperative pulmonary complications, adjusted in multivariable models for measured confounders. Pre-defined sub-group analyses were performed for the primary outcome. A total of 96,454 patients from 114 countries were included and overall, 26,948 (27.9%) patients isolated before surgery. Postoperative pulmonary complications were recorded in 1947 (2.0%) patients of which 227 (11.7%) were associated with SARS-CoV-2 infection. Patients who isolated pre-operatively were older, had more respiratory comorbidities and were more commonly from areas of high SARS-CoV-2 incidence and high-income countries. Although the overall rates of postoperative pulmonary complications were similar in those that isolated and those that did not (2.1% vs 2.0%, respectively), isolation was associated with higher rates of postoperative pulmonary complications after adjustment (adjusted OR 1.20, 95%CI 1.05–1.36, p = 0.005). Sensitivity analyses revealed no further differences when patients were categorised by: pre-operative testing; use of COVID-19-free pathways; or community SARS-CoV-2 prevalence. The rate of postoperative pulmonary complications increased with periods of isolation longer than 3 days, with an OR (95%CI) at 4–7 days or ≥ 8 days of 1.25 (1.04–1.48), p = 0.015 and 1.31 (1.11–1.55), p = 0.001, respectively. Isolation before elective surgery might be associated with a small but clinically important increased risk of postoperative pulmonary complications. Longer periods of isolation showed no reduction in the risk of postoperative pulmonary complications. These findings have significant implications for global provision of elective surgical care