Andrés Bello University

Repositorio Institucional Académico Universidad Andrés Bello
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    18484 research outputs found

    Generación de un sistema para el apoyo de indicadores de enseñanza básica para el Colegio María Inmaculada

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    Memoria de título (Ingeniero Civil Informático)El proyecto consiste en la generación de un sistema de apoyo de indicadores de rendimiento en la enseñanza básica en el colegio María Inmaculada. Durante el desarrollo de este, se utilizarán datos de los últimos años aportados por el centro de datos del Ministerio de educación. Previo al desarrollo de esta propuesta, se conocerá el contexto actual de la necesidad o problema a satisfacer/resolver, por ende, se dará un breve vistazo a las normas vigentes que limiten el proyecto, junto a la contribución e importancia del trabajo. Durante la elaboración de los documentos que serán parte de este proyecto y que servirán como respaldo de la construcción del sistema, se establece la metodología a seguir con el objetivo de gestionar el proyecto a través de buenas prácticas

    Search for new phenomena in events with two opposite-charge leptons, jets and missing transverse momentum in pp collisions at √s = 13 TeV with the ATLAS detector

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    Indexación ScopusThe results of a search for direct pair production of top squarks and for dark matter in events with two opposite-charge leptons (electrons or muons), jets and missing transverse momentum are reported, using 139 fb−1 of integrated luminosity from proton-proton collisions at s = 13 TeV, collected by the ATLAS detector at the Large Hadron Collider during Run 2 (2015–2018). This search considers the pair production of top squarks and is sensitive across a wide range of mass differences between the top squark and the lightest neutralino. Additionally, spin-0 mediator dark-matter models are considered, in which the mediator is produced in association with a pair of top quarks. The mediator subsequently decays to a pair of dark-matter particles. No significant excess of events is observed above the Standard Model background, and limits are set at 95% confidence level. The results exclude top squark masses up to about 1 TeV, and masses of the lightest neutralino up to about 500 GeV. Limits on dark-matter production are set for scalar (pseudoscalar) mediator masses up to about 250 (300) GeV. [Figure not available: see fulltext.] © 2021, The Author(s).

    Wnt5a promotes hippocampal postsynaptic development and GluN2B-induced expression via the eIF2α HRI kinase

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    Indexación ScopusWnt signaling plays a key role in neurodevelopment and neuronal maturation. Specifically, Wnt5a stimulates postsynaptic assemblies, increases glutamatergic neurotransmission and, through calcium signaling, generates nitric oxide (NO). Trying to unveil the molecular pathway triggering these postsynaptic effects, we found that Wnt5a treatment induces a time-dependent increases in the length of the postsynaptic density (PSD), elicits novel synaptic contacts and facilitates F-actin flow both in in vitro and ex vivo models. These effects were partially abolished by the inhibition of the Heme-regulated eukaryotic initiation factor 2α (HRI) kinase, a kinase which phosphorylates the initiation translational factor eIF2α. When phosphorylated, eIF2α normally avoids the translation of proteins not needed during stress conditions, in order to avoid unnecessary energetic expenses. However, phosphorylated eIF2α promotes the translation of some proteins with more than one open reading frame in its 5′ untranslated region. One of these proteins targeted by Wnt-HRI-eIF2α mediated translation is the GluN2B subunit of the NMDA receptor. The identified increase in GluN2B expression correlated with increased NMDA receptor function. Considering that NMDA receptors are crucial for excitatory synaptic transmission, the molecular pathway described here contributes to the understanding of the fast and plastic translational mechanisms activated during learning and memory processes. © 2021, The Author(s).

    The Construction of a Hegemonic Discourse on Female Crime: Criminologists, doctors and feminists (Argentina, 1898-1927)

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    Indexación: Revista UNAB.Este artículo analiza las tensiones, contradicciones y puntos de encuentro en la construcción de un discurso hegemónico sobre la delincuencia femenina en Argentina de 1898 a 1927. Las mujeres que cometieron delitos pusieron en cuestión las ideas establecidas sobre lo doméstico y la maternidad, por ello la explicación de este fenómeno reunió los argumentos de distintos actores políticos y sociales, que incluyó el conocimiento científico pero, a su vez, lo rebasaron. En este estudio tomaremos como referencia las voces de criminólogos, médicos y feministas para exponer un discurso hegemónico que reforzó estereotipos de género al fundamentar la supuesta contradicción entre delincuencia-mujer mediante la construcción de excepciones que derivaron en distintas fuentes de legitimidad.This article analyses the tensions, contradictions and crossroads in the hegemonic discourse on female criminality in Argentina between 1898 and 1927. Women who committed crimes put into question socially established ideas of domesticity and motherhood. Explanation of this phenomenon brought together arguments from different political and social actors, which included scientific knowledge but, in turn, overcame it. In this article I will analyze arguments of criminologists, doctors and feminists expose for a hegemonic discourse that reinforced gender stereotypes by justifying the alleged contradiction between crime and women with the construction of exceptions

    Co-training for visual object recognition based on self-supervised models using a cross-entropy regularization

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    Indexación ScopusAutomatic recognition of visual objects using a deep learning approach has been successfully applied to multiple areas. However, deep learning techniques require a large amount of labeled data, which is usually expensive to obtain. An alternative is to use semi-supervised models, such as co-training, where multiple complementary views are combined using a small amount of labeled data. A simple way to associate views to visual objects is through the application of a degree of rotation or a type of filter. In this work, we propose a co-training model for visual object recognition using deep neural networks by adding layers of self-supervised neural networks as intermediate inputs to the views, where the views are diversified through the cross-entropy regularization of their outputs. Since the model merges the concepts of co-training and self-supervised learning by considering the differentiation of outputs, we called it Differential Self-Supervised Co-Training (DSSCo-Training). This paper presents some experiments using the DSSCo-Training model to wellknown image datasets such as MNIST, CIFAR-100, and SVHN. The results indicate that the proposed model is competitive with the state-of-art models and shows an average relative improvement of 5% in accuracy for several datasets, despite its greater simplicity with respect to more recent approaches. © 2020 by the authors.

    Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton–proton collisions

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    Indexación ScopusJet substructure has provided new opportunities for searches and measurements at the LHC, and has seen continuous development since the optimization of the large-radius jet definition used by ATLAS was performed during Run 1. A range of new inputs to jet reconstruction, pile-up mitigation techniques and jet grooming algorithms motivate an optimisation of large-radius jet reconstruction for ATLAS. In this paper, this optimisation procedure is presented, and the performance of a wide range of large-radius jet definitions is compared. The relative performance of these jet definitions is assessed using metrics such as their pileup stability, ability to identify hadronically decaying W bosons and top quarks with large transverse momenta. A new type of jet input object, called a ‘unified flow object’ is introduced which combines calorimeter- and inner-detector-based signals in order to achieve optimal performance across a wide kinematic range. Large-radius jet definitions are identified which significantly improve on the current ATLAS baseline definition, and their modelling is studied using pp collisions recorded by the ATLAS detector at s=13TeV during 2017. © 2021, The Author(s).

    Semi-supervised regression using diffusion on graphs

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    Indexación ScopusIn real-world machine learning applications, unlabeled training data are readily available, but labeled data are expensive and hard to obtain. Therefore, semi-supervised learning algorithms have gathered much attention. Previous studies in this area mainly focused on a semi-supervised classification problem, whereas semi-supervised regression has received less attention. In this paper, we proposed a novel semi-supervised regression algorithm using heat diffusion with a boundary-condition that guarantees a closed-form solution. Experiments from artificial and real datasets from business, biomedical, physical, and social domain show that the boundary-based heat diffusion method can effectively outperform the top state of the art methods. © 2021 The Author(s)

    Longitudinal Flow Decorrelations in Xe+Xe Collisions at sNN =5.44 TeV with the ATLAS Detector

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    Indexación ScopusThe first measurement of longitudinal decorrelations of harmonic flow amplitudes vn for n=2-4 in Xe+Xe collisions at sNN=5.44 TeV is obtained using 3 μb-1 of data with the ATLAS detector at the LHC. The decorrelation signal for v3 and v4 is found to be nearly independent of collision centrality and transverse momentum (pT) requirements on final-state particles, but for v2 a strong centrality and pT dependence is seen. When compared with the results from Pb+Pb collisions at sNN=5.02 TeV, the longitudinal decorrelation signal in midcentral Xe+Xe collisions is found to be larger for v2, but smaller for v3. Current hydrodynamic models reproduce the ratios of the vn measured in Xe+Xe collisions to those in Pb+Pb collisions but fail to describe the magnitudes and trends of the ratios of longitudinal flow decorrelations between Xe+Xe and Pb+Pb. The results on the system-size dependence provide new insights and an important lever arm to separate effects of the longitudinal structure of the initial state from other early and late time effects in heavy-ion collisions. © 2021 CERN.

    Identificación no supervisada de zona más relevante en radiografía para la detección de COVID

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    Tesis (Ingeniero Civil Informático)Desde principios del año 2020 el diagnóstico del virus COVID-19 es un problema de vital importancia que ha afectado la vida de millones de personas a lo largo de todo el mundo debido a que, en muchos casos, este se realiza con mucha lentitud, con un tiempo estimado que varía entre 1 y 5 días. Una forma eficiente y rápida de detectar la presencia, tanto del virus COVID-19 como también la presencia de otras enfermedades, es utilizando Inteligencia Artificial aplicada a las imágenes obtenidas en la toma de radiografía de pulmones. Actualmente, esta detección IA de COVID-19 considera la imagen completa, pero no detecta la parte que más aporta a la presencia de esta, la cual podría variar entre personas. Nosotros proponemos usar un algoritmo basado en aprendizaje profundo para aprender a reconocer la zona más relevante para detectar COVID-19 basadas en regiones de imagen y sin supervisión humana.Since the beginning of 2020, the diagnostic of the COVID-19 virus has been a problem of vitally importance that has affected the lives of millions of people throughout the world because, in many cases, it is done very slowly, with an estimated time that varies between 1 and 5 days. An efficient and fastest way to detect the presence of both the COVID-19 virus as well as the presence of other diseases is by using Artificial Intelligence applied to the images obtained from taking a lung X-ray. Currently, this AI detection of COVID-19 considers the complete image, but does not detect the part that contributes the most to its presence, which could vary between people

    Bad vassals and fake Christians: The mild devotion of Santiago de Chile’s worshippers to the Blessed Sacrament and the political-spiritual stronghold of the Spanish Monarchy according to the sermons of Bishop Manuel de Alday (18th century)

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    Indexación: Revista UNAB.La devoción por el cuerpo de Cristo sacramentado, eucaristía, Santísimo Sacramento u hostia consagrada es una de las más antiguas de la monarquía hispánica y fue por siglos el bastión de lucha contra las naciones enemigas de la fe católica. En sus pláticas y sermones, el obispo Manuel de Alday se quejaba en la segunda mitad del siglo XVIII de que los fieles de la diócesis de Santiago de Chile habían perdido el fervor por este importante símbolo de la fe cristiana. En este artículo se recorre la historia del Santísimo Sacramento para evidenciar su importancia político-religiosa y luego se revisa la presencia de este símbolo en fuentes relativas al obispo, para comprender la relevancia de su queja respecto de los fieles de Santiago de Chile.The devotion to the sacred body of Christ, Eucharist, or sanctified Holy Communion, is one of the oldest symbols of the Spanish Monarchy and was a bastion in the struggle against the enemy nations of the Catholic faith. In the 18th century, Santiago’s Bishop, Manuel de Alday complained in his sermons that worshippers in Santiago de Chile had lost the fervor for this important symbol of Christian faith. This article explores the history of the Blessed Sacrament to highlight its politicalreligious importance and to understand the relevance of the bishop’s complaint


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    Repositorio Institucional Académico Universidad Andrés Bello is based in Chile
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