Contaminación en las fuentes hídricas por causa de usos excesivos de agroquímicos producto de actividad agrícola en el municipio de Sapuyes Nariño, a partir de geoprocesos utilizando sistemas de información geográfica.

La contaminación por agroquímicos es una de las problemáticas más frecuentes en todo el territorio nacional, ya que Colombia es un país productor de una amplia gama de productos fundamentales para la alimentación de los hogares colombianos. El departamento de Nariño es uno de los departamentos paperos líderes en el país. Concentra cerca del 24 % de la producción nacional, que corresponde aproximadamente a 845.000 toneladas al año, cultivadas en 45.034 hectáreas, en 37 municipios. Asimismo, la papa es la protagonista de varios platos típicos de la región y del menú diario. (UPRA, 2023) El área de estudio está dentro de esta región se encuentra el municipio de Sapuyes, caracterizado por su importante aporte a la producción de la papa. El uso de agroquímicos y funguicidas es parte de la línea de producción para proteger sus cultivos y darles un óptimo crecimiento en todo el ciclo de vida del cultivo lo cual incrementa de manera desmedida la contaminación en el suelo, aire y fuentes hídricas de la región, esto se debe al tiempo residual de los agroquímicos utilizados como son los insecticidas, herbicidas y funguicidas los cuales permanecen presentes en el suelo por un gran periodo de tiempo causando contaminación a los yacimientos de agua y a su vez evidencia la contaminación por residuos sólidos producto del desecho de los envases tanto de fertilizantes como de funguicidas cerca de fuentes de agua, contaminando así los diferentes factores del ambiente (Agua, suelos y aire) Se plantea plasmar mediante imágenes utilizando sistemas de información geográfica, el uso del suelo, su aptitud y la cercanía con las fuentes hídricas utilizando geo procesos, tablas y análisis de información para visibilizar los problemas de contaminación.Pollution by agrochemicals is one of the most frequent problems throughout the national territory, since Colombia is a country producing a wide range of essential food products of Colombian homes. The department of Nariño is one of the leading paper departments in the country. It concentrates about 24% of the production national, which corresponds approximately to 845,000 tons per year, grown in 45,034 hectares, in 37 municipalities. In addition, The potato is the protagonist of several dishes typical of the region and the daily menu. (UPRA, 2023) The study area is within this region find the municipality of Sapuyes, characterized by its important contribution to the potato production. The use of agrochemicals and fungicides is part of the line of production to protect their crops and give them optimal growth throughout the cycle of crop life which increases pollution in the soil, air and water sources of the region, this is due to the residual time of the agrochemicals used such as insecticides, herbicides and fungicides which remain present in the soil for a long time period of time causing contamination to the water deposits and in turn shows the contamination by solid waste product of packaging waste from both fertilizers and fungicides near water sources, thus contaminating different environmental factors (water, soils and air) It is proposed to capture through images using geographic information systems, the use of the land, its suitability and the proximity to water sources using geo processes, tables and analysis of information for make pollution problems visible

La Imagen y la Narrativa como Herramientas para el Abordaje Psicosocial en Escenarios de Violencia, Municipios de Güepsa, Málaga, San Gil y Vélez. Departamento de Santander

El presente trabajo se lleva a cabo bajo el análisis crítico de las subjetividades de cada historia, que sin lugar a dudas, desde lo psicosocial se presentan como un medio de ejercicio del psicólogo; alternando estrategias y confrontando referentes conceptuales, ya que, en los escenarios de violencia se forja un impacto emocional latente. Los escenarios presentados permiten exponer de manera tangible los diferentes emergentes que surgen de la guerra, así mismo, todo lo que implica estar sumergido en ella, donde las secuelas físicas y emocionales son inevitables, en este sentido, los diferentes contextos afectan la subjetividad del individuo que desde lo psicosocial se lograr abordar a través de diversas herramientas. Por lo tanto, el rol del profesional de la salud mental es trascendental ya que forja un ente mediador y potencializador exponiendo ejercicios de reconocimiento de derechos y exploración de las diferentes escenas a través de las narrativas, desde las cuales los psicólogos en formación permiten una trasformación de pensamiento y empoderamiento en la forma de ver el mundo y apropiarse de él. Así mismo, desde el caso de las comunidades de Cacarica se dan a conocer algunas propuestas de intervención con el objetivo de contribuir al cambio psicológico y social, dando como resultado una mejor calidad de vida.This work has been developed according to the critical analysis of the subjectivities of each story, which without a doubt, from the psychosocial point of view is presented as a way of working for the psychologist; alternating strategies and confronting conceptual references, as, in situations of violence a latent emotional impact is forged. The selected scenarios can tangibly expose the different emergent that arise from the war as well as everything that implies being submerged in it, where the physical and emotional consequences are inevitable, in this sense, the different contexts are affected by the subjectivity of the psychological individual, which from the psychosocial point of view can be studied through various tools. Therefore, the role of the mental health professional is transcendental because it forges a mediating and empowering entity exposing rights recognition exercises and exploring different scenes through narratives, from which psychologists-in-training transfer a transformation thinking and empowerment in the way of seeing the world and appropriating it. Likewise, in the case of Cacarica communities some intervention proposals are disclosed with the aim of contributing to psychological and social change, resulting in a better quality of life

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Discutindo a educação ambiental no cotidiano escolar: desenvolvimento de projetos na escola formação inicial e continuada de professores

A presente pesquisa buscou discutir como a Educação Ambiental (EA) vem sendo trabalhada, no Ensino Fundamental e como os docentes desta escola compreendem e vem inserindo a EA no cotidiano escolar., em uma escola estadual do município de Tangará da Serra/MT, Brasil. Para tanto, realizou-se entrevistas com os professores que fazem parte de um projeto interdisciplinar de EA na escola pesquisada. Verificou-se que o projeto da escola não vem conseguindo alcançar os objetivos propostos por: desconhecimento do mesmo, pelos professores; formação deficiente dos professores, não entendimento da EA como processo de ensino-aprendizagem, falta de recursos didáticos, planejamento inadequado das atividades. A partir dessa constatação, procurou-se debater a impossibilidade de tratar do tema fora do trabalho interdisciplinar, bem como, e principalmente, a importância de um estudo mais aprofundado de EA, vinculando teoria e prática, tanto na formação docente, como em projetos escolares, a fim de fugir do tradicional vínculo “EA e ecologia, lixo e horta”.Facultad de Humanidades y Ciencias de la Educació

Transverse-momentum and pseudorapidity distributions of charged hadrons in pppp collisions at s\sqrt{s} = 7 TeV

Charged-hadron transverse-momentum and pseudorapidity distributions in proton-proton collisions at $\sqrt{s} = 7$~TeV are measured with the inner tracking system of the CMS detector at the LHC. The charged-hadron yield is obtained by counting the number of reconstructed hits, hit-pairs, and fully reconstructed charged-particle tracks. The combination of the three methods gives a charged-particle multiplicity per unit of pseudorapidity \dnchdeta|_{|\eta| < 0.5} = 5.78\pm 0.01\stat\pm 0.23\syst for non-single-diffractive events, higher than predicted by commonly used models. The relative increase in charged-particle multiplicity from $\sqrt{s} = 0.9$ to 7~TeV is 66.1\%\pm 1.0\%\stat\pm 4.2\%\syst. The mean transverse momentum is measured to be 0.545\pm 0.005\stat\pm 0.015\syst\GeVc. The results are compared with similar measurements at lower energies.Charged-hadron transverse-momentum and pseudorapidity distributions in proton-proton collisions at sqrt(s) = 7 TeV are measured with the inner tracking system of the CMS detector at the LHC. The charged-hadron yield is obtained by counting the number of reconstructed hits, hit-pairs, and fully reconstructed charged-particle tracks. The combination of the three methods gives a charged-particle multiplicity per unit of pseudorapidity, dN(charged)/d(eta), for |eta| < 0.5, of 5.78 +/- 0.01 (stat) +/- 0.23 (syst) for non-single-diffractive events, higher than predicted by commonly used models. The relative increase in charged-particle multiplicity from sqrt(s) = 0.9 to 7 TeV is 66.1% +/- 1.0% (stat) +/- 4.2% (syst). The mean transverse momentum is measured to be 0.545 +/- 0.005 (stat) +/- 0.015 (syst) GeV/c. The results are compared with similar measurements at lower energies

Measurement of the charge ratio of atmospheric muons with the CMS detector

We present a measurement of the ratio of positive to negative muon fluxes from cosmic ray interactions in the atmosphere, using data collected by the CMS detector both at ground level and in the underground experimental cavern at the CERN LHC. Muons were detected in the momentum range from 5 GeV/ c to 1 TeV/ c . The surface flux ratio is measured to be 1.2766±0.0032(stat.)±0.0032(syst.) , independent of the muon momentum, below 100 GeV/ c . This is the most precise measurement to date. At higher momenta the data are consistent with an increase of the charge ratio, in agreement with cosmic ray shower models and compatible with previous measurements by deep-underground experiments.We present a measurement of the ratio of positive to negative muon fluxes from cosmic ray interactions in the atmosphere, using data collected by the CMS detector both at ground level and in the underground experimental cavern at the CERN LHC. Muons were detected in the momentum range from 5 GeV/c to 1 TeV/c. The surface flux ratio is measured to be 1.2766 \pm 0.0032(stat.) \pm 0.0032 (syst.), independent of the muon momentum, below 100 GeV/c. This is the most precise measurement to date. At higher momenta the data are consistent with an increase of the charge ratio, in agreement with cosmic ray shower models and compatible with previous measurements by deep-underground experiments