Medicion y comparacion de la inteligencia emocional de alumnos de distintos niveles de la carrera de Ingeniería Comercial de la Universidad de Talca

114 p.La investigación consiste en la medición y comparación de la Inteligencia Emocional de alumnos de distintos anos de ingreso de la carrera de Ingeniería Comercial de la Universidad de Talca. El propósito de este estudio es aportar información que sirva para enfocar la formación de los alumnos de la carrera de Ingeniería Comercial de la Universidad de Talca tanto a los conocimientos como a las aptitudes emocionales. El trabajo se realiza a través de la aplicación del Cuadro de CE (Coeficiente Emocional), cuestionario que sirve para medir la Inteligencia Emocional, a una muestra de 166 alumnos matriculados en el primer semestre del ano 2002, de la carrera de Ingeniería Comercial de la Universidad de Talca, que cursen alguna asignatura de la Línea académica de Administración que corresponda a su ano de ingreso. Los resultados obtenidos muestran que la categoría de inteligencia o manejo emocional que poseen los alumnos de la carrera de Ingeniería Comercial de la Universidad de Talca corresponde a la categoría vulnerable o de insuficiencia de inteligencia emocional. Por otra parte, se observa que no existen diferencias significativas en la inteligencia emocional de los alumnos de cada año de la carrera, es decir, no hay una evolución en la inteligencia emocional a medida que los alumnos avanzan en la malla curricular, por lo tanto, bajo el supuesto de que no hay cambio en las características de ingreso de los alumnos de cada ano, se puede concluir que la carrera de Ingeniería Comercial de la Universidad de Talca no aporta al desarrollo de las habilidades emocionales de sus alumnos

A global metagenomic map of urban microbiomes and antimicrobial resistance

We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.Funding: the Tri-I Program in Computational Biology and Medicine (CBM) funded by NIH grant 1T32GM083937; GitHub; Philip Blood and the Extreme Science and Engineering Discovery Environment (XSEDE), supported by NSF grant number ACI-1548562 and NSF award number ACI-1445606; NASA (NNX14AH50G, NNX17AB26G), the NIH (R01AI151059, R25EB020393, R21AI129851, R35GM138152, U01DA053941); STARR Foundation (I13- 0052); LLS (MCL7001-18, LLS 9238-16, LLS-MCL7001-18); the NSF (1840275); the Bill and Melinda Gates Foundation (OPP1151054); the Alfred P. Sloan Foundation (G-2015-13964); Swiss National Science Foundation grant number 407540_167331; NIH award number UL1TR000457; the US Department of Energy Joint Genome Institute under contract number DE-AC02-05CH11231; the National Energy Research Scientific Computing Center, supported by the Office of Science of the US Department of Energy; Stockholm Health Authority grant SLL 20160933; the Institut Pasteur Korea; an NRF Korea grant (NRF-2014K1A4A7A01074645, 2017M3A9G6068246); the CONICYT Fondecyt Iniciación grants 11140666 and 11160905; Keio University Funds for Individual Research; funds from the Yamagata prefectural government and the city of Tsuruoka; JSPS KAKENHI grant number 20K10436; the bilateral AT-UA collaboration fund (WTZ:UA 02/2019; Ministry of Education and Science of Ukraine, UA:M/84-2019, M/126-2020); Kyiv Academic Univeristy; Ministry of Education and Science of Ukraine project numbers 0118U100290 and 0120U101734; Centro de Excelencia Severo Ochoa 2013–2017; the CERCA Programme / Generalitat de Catalunya; the CRG-Novartis-Africa mobility program 2016; research funds from National Cheng Kung University and the Ministry of Science and Technology; Taiwan (MOST grant number 106-2321-B-006-016); we thank all the volunteers who made sampling NYC possible, Minciencias (project no. 639677758300), CNPq (EDN - 309973/2015-5), the Open Research Fund of Key Laboratory of Advanced Theory and Application in Statistics and Data Science – MOE, ECNU, the Research Grants Council of Hong Kong through project 11215017, National Key RD Project of China (2018YFE0201603), and Shanghai Municipal Science and Technology Major Project (2017SHZDZX01) (L.S.

Searches for lepton-flavour-violating decays of the Higgs boson into eτe\tau and μτ\mu\tau in s=13\sqrt{s}=13 TeV pppp collisions with the ATLAS detector

This paper presents direct searches for lepton flavour violation in Higgs boson decays, H → eτ and H → μτ, performed using data collected with the ATLAS detector at the LHC. The searches are based on a data sample of proton-proton collisions at a centre-of-mass energy $\sqrt{s}$ = 13 TeV, corresponding to an integrated luminosity of 138 fb$^{−1}$. Leptonic (τ → ℓν$_{ℓ}$ν$_{τ}$) and hadronic (τ → hadrons ν$_{τ}$) decays of the τ-lepton are considered. Two background estimation techniques are employed: the MC-template method, based on data-corrected simulation samples, and the Symmetry method, based on exploiting the symmetry between electrons and muons in the Standard Model backgrounds. No significant excess of events is observed and the results are interpreted as upper limits on lepton-flavour-violating branching ratios of the Higgs boson. The observed (expected) upper limits set on the branching ratios at 95% confidence level, $\mathcal{B}$(H → eτ) < 0.20% (0.12%) and $\mathcal{B}$(H → μτ ) < 0.18% (0.09%), are obtained with the MC-template method from a simultaneous measurement of potential H → eτ and H → μτ signals. The best-fit branching ratio difference, $\mathcal{B}$(H → μτ) → $\mathcal{B}$(H → eτ), measured with the Symmetry method in the channel where the τ-lepton decays to leptons, is (0.25 ± 0.10)%, compatible with a value of zero within 2.5σ.[graphic not available: see fulltext