Generación de información geoespacial para la evaluación estacional del agua en la cuenca de la laguna de Cajititlán mediante el modelo InVEST: una iniciativa del Proyecto Charco Bendito para la preservación ambiental

Con el fin de preservar y gestionar los recursos hídricos de manera sostenible en la cuenca de la laguna de Cajititlán, México, estudiantes del Proyecto de Aplicación Profesional del Laboratorio de Datos del Instituto Tecnológico y de Estudios Superiores de Occidente (ITESO) colaboraron con el Proyecto Charco Bendito para llevar a cabo este proyecto. Se centró en generar y analizar información geoespacial utilizando el modelo de producción estacional del agua de InVEST, un software desarrollado por la organización Natural Capital Project de la Universidad de Stanford para evaluar y cuantificar los servicios ecosistémicos proporcionados por los recursos naturales, lo que permitió tomar decisiones informadas sobre su gestión y conservación. El objetivo principal fue establecer una línea base ambiental para medir la ganancia de agua y evaluar el éxito de futuros proyectos de conservación y gestión sostenible de los recursos hídricos en la cuenca de la laguna de Cajititlán. Para lograr esto, se obtuvo y generó la información necesaria para correr el modelo de InVEST, incluyendo capas de área de interés, uso de suelo, modelo digital de elevación, hidrología, tabla de datos biofísicos, precipitación y evapotranspiración. Además, se validó la calidad de la información y se configuró el modelo, ejecutándose para analizar los resultados obtenidos y determinar la línea base ambiental en la cuenca de la laguna de Cajititlán. El proyecto también se centró en estudiar la infiltración y el escurrimiento en la cuenca de la laguna de Cajititlán, procesos clave para la regulación del ciclo hidrológico y la preservación de los recursos hídricos. Se generaron guías detalladas de cada paso del proceso para la creación de cada una de las capas con la finalidad de poder replicar el modelo en futuros años y así poder medir el progreso y la ganancia o pérdida de agua en la cuenca. Con los resultados del modelo se pudo observar que los bosques de pino y los bosques mixtos de pino-encino generan menor escurrimiento, mientras que los cambios en el uso del suelo hacia la agricultura, la urbanización y los suelos desnudos, debido a incendios agrícolas o forestales, incrementan los volúmenes de escurrimiento. La investigación también destaca la importancia de la preservación del agua y la restauración de áreas naturales para la sostenibilidad y la responsabilidad social y ambiental. Es importante destacar que los datos utilizados en este proyecto corresponden al año 2018, ya que no se contaba con datos más actualizados de evapotranspiración y precipitación para realizar ambas capas. Sin embargo, se encontró que es posible emplear datos climatológicos históricos para estimar el rendimiento estacional del agua en ausencia de datos actualizados, y que la gestión del paisaje puede afectar el flujo estacional del agua. Asimismo, se propone la inclusión de un modelo financiero en futuros estudios, que permita medir las ganancias o pérdidas económicas asociadas a la conservación y gestión sostenible de los recursos hídricos en la cuenca de la laguna de Cajititlán. De esta manera, se podrá evaluar no solo el impacto ambiental, sino también el impacto económico de las acciones efectuadas en la región.ITESO, A.C

Economía y finanzas sociales: avances en la investigación

Esta obra colectiva propone un cambio de paradigma en la investigación científica, financiera y económica, cuyo centro de atención es reducir las desigualdades sociales y económicas, mejorar la sostenibilidad ambiental y la creación eficiente de valor económico. Desde un punto de vista crítico y mediante diversos enfoques teóricos, metodológicos y disciplinares, los autores analizan el esquema financiero predominante en las economías de mercado, al tiempo que abordan temas como la inclusión financiera, la banca ética o las experiencias e intervenciones en y sobre la economía social.ITESO, A.C

Gain of DNA methylation is enhanced in the absence of CTCF at the human retinoblastoma gene promoter

<p>Abstract</p> <p>Background</p> <p>Long-term gene silencing throughout cell division is generally achieved by DNA methylation and other epigenetic processes. Aberrant DNA methylation is now widely recognized to be associated with cancer and other human diseases. Here we addressed the contribution of the multifunctional nuclear factor CTCF to the epigenetic regulation of the human <it>retinoblastoma </it>(<it>Rb</it>) gene promoter in different tumoral cell lines.</p> <p>Methods</p> <p>To assess the DNA methylation status of the <it>Rb </it>promoter, genomic DNA from stably transfected human erythroleukemic K562 cells expressing a <it>GFP </it>reporter transgene was transformed with sodium bisulfite, and then PCR-amplified with modified primers and sequenced. Single- and multi-copy integrants with the CTCF binding site mutated were isolated and characterized by Southern blotting. Silenced transgenes were reactivated using 5-aza-2'-deoxycytidine and Trichostatin-A, and their expression was monitored by fluorescent cytometry. <it>Rb </it>gene expression and protein abundance were assessed by RT-PCR and Western blotting in three different glioma cell lines, and DNA methylation of the promoter region was determined by sodium bisulfite sequencing, together with CTCF dissociation and methyl-CpG-binding protein incorporation by chromatin immunoprecipitation assays.</p> <p>Results</p> <p>We found that the inability of CTCF to bind to the <it>Rb </it>promoter causes a dramatic loss of gene expression and a progressive gain of DNA methylation.</p> <p>Conclusions</p> <p>This study indicates that CTCF plays an important role in maintaining the <it>Rb </it>promoter in an optimal chromatin configuration. The absence of CTCF induces a rapid epigenetic silencing through a progressive gain of DNA methylation. Consequently, CTCF can now be seen as one of the epigenetic components that allows the proper configuration of tumor suppressor gene promoters. Its aberrant dissociation can then predispose key genes in cancer cells to acquire DNA methylation and epigenetic silencing.</p

Model-independent search for the presence of new physics in events including H → γγ with s \sqrt{s} = 13 TeV pp data recorded by the ATLAS detector at the LHC

Abstract A model-independent search for new physics leading to final states containing a Higgs boson, with a mass of 125.09 GeV, decaying to a pair of photons is performed with 139 fb−1 of s $$\sqrt{s}$$ = 13 TeV pp collision data recorded by the ATLAS detector at the Large Hadron Collider at CERN. This search examines 22 final states categorized by the objects that are produced in association with the Higgs boson. These objects include isolated electrons or muons, hadronically decaying τ-leptons, additional photons, missing transverse momentum, and hadronic jets, as well as jets that are tagged as containing a b-hadron. No significant excesses above Standard Model expectations are observed and limits on the production cross section at 95% confidence level are set. Detector efficiencies are reported for all 22 signal regions, which can be used to convert detector-level cross-section limits reported in this paper to particle-level cross-section constraints

Co-limitation towards lower latitudes shapes global forest diversity gradients

The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection

An embedding technique to determine ττ backgrounds in proton-proton collision data

An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).Peer reviewe

Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions

Peer reviewe

Bose-Einstein correlations of charged hadrons in proton-proton collisions at s\sqrt s = 13 TeV

Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s}$ = 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s}$ = 7 TeV, as well as with theoretical predictions.[graphic not available: see fulltext]Bose-Einstein correlations of charged hadrons are measured over a broad multiplicity range, from a few particles up to about 250 reconstructed charged hadrons in proton-proton collisions at $\sqrt{s} =$ 13 TeV. The results are based on data collected using the CMS detector at the LHC during runs with a special low-pileup configuration. Three analysis techniques with different degrees of dependence on simulations are used to remove the non-Bose-Einstein background from the correlation functions. All three methods give consistent results. The measured lengths of homogeneity are studied as functions of particle multiplicity as well as average pair transverse momentum and mass. The results are compared with data from both CMS and ATLAS at $\sqrt{s} =$ 7 TeV, as well as with theoretical predictions

Search for dark matter in events with a leptoquark and missing transverse momentum in proton-proton collisions at 13 TeV

A search is presented for dark matter in proton-proton collisions at a center-of-mass energy of root s= 13 TeV using events with at least one high transverse momentum (p(T)) muon, at least one high-p(T) jet, and large missing transverse momentum. The data were collected with the CMS detector at the CERN LHC in 2016 and 2017, and correspond to an integrated luminosity of 77.4 fb(-1). In the examined scenario, a pair of scalar leptoquarks is assumed to be produced. One leptoquark decays to a muon and a jet while the other decays to dark matter and low-p(T) standard model particles. The signature for signal events would be significant missing transverse momentum from the dark matter in conjunction with a peak at the leptoquark mass in the invariant mass distribution of the highest p(T) muon and jet. The data are observed to be consistent with the background predicted by the standard model. For the first benchmark scenario considered, dark matter masses up to 500 GeV are excluded for leptoquark masses m(LQ) approximate to 1400 GeV, and up to 300 GeV for m(LQ) approximate to 1500 GeV. For the second benchmark scenario, dark matter masses up to 600 GeV are excluded for m(LQ) approximate to 1400 GeV. (C) 2019 The Author(s). Published by Elsevier B.V.Peer reviewe