¿Todavía interesa normalizar bases de datos? Reflexionando sobre su enseñanza

El objetivo principal de este trabajo es hacer una reflexión sobre la normalización de bases de datos en la actualidad, incluyendo su utilidad práctica, el enfoque seguido en su enseñanza y su utilización en proyectos reales. Identificamos cómo muchos libros de fundamentos de bases de datos pasan por alto aspectos fundamentales en el proceso de normalización como el cálculo de las claves de una relación. Presentamos un algoritmo informal de obtención de claves basado en una representación gráfica que nos resulta útil para la docencia. Incluimos un estudio de herramientas relacionadas con la normalización y finalmente describimos casos prácticos que nos permiten reflexionar sobre cuestiones poco claras relacionadas con esta actividad.Peer Reviewe

Gut microbial composition and functionality of school-age Mexican population with metabolic syndrome and type-2 diabetes mellitus using shotgun metagenomic sequencing

Gut metagenome in pediatric subjects with metabolic syndrome (MetS) and type-2 diabetes mellitus (T2DM) has been poorly studied, despite an alarming worldwide increase in the prevalence and incidence of obesity and MetS within this population. The objective of this study was to characterize the gut microbiome taxonomic composition of Mexican pediatric subjects with MetS and T2DM using shotgun metagenomics and analyze the potential relationship with metabolic changes and proinflammatory effects. Paired-end reads of fecal DNA samples were obtained through the Illumina HiSeq X Platform. Statistical analyses and correlational studies were conducted using gut microbiome data and metadata from all individuals. Gut microbial dysbiosis was observed in MetS and T2DM children compared to healthy subjects, which was characterized by an increase in facultative anaerobes (i.e., enteric and lactic acid bacteria) and a decrease in strict anaerobes (i.e., Erysipelatoclostridium, Shaalia, and Actinomyces genera). This may cause a loss of gut hypoxic environment, increased gut microbial nitrogen metabolism, and higher production of pathogen-associated molecular patterns. These metabolic changes may trigger the activation of proinflammatory activity and impair the host's intermediate metabolism, leading to a possible progression of the characteristic risk factors of MetS and T2DM, such as insulin resistance, dyslipidemia, and an increased abdominal circumference. Furthermore, specific viruses (Jiaodavirus genus and Inoviridae family) showed positive correlations with proinflammatory cytokines involved in these metabolic diseases. This study provides novel evidence for the characterization of MetS and T2DM pediatric subjects in which the whole gut microbial composition has been characterized. Additionally, it describes specific gut microorganisms with functional changes that may influence the onset of relevant health risk factors

Propuestas de actividades de enseñanza virtual del teatro para el Nivel Inicial y Primario.

Este cuadernillo busca recuperar las producciones de actividades pedagógicas de formación artística teatral destinadas a los niveles inicial y primario de las instituciones escolares. Fueron elaboradas durante julio y agosto de 2020 por estudiantes de la cátedra Práctica Docente III y Residencia en el Nivel Inicial y Primario del Profesorado de Teatro de la Facultad de Artes de la UNC. Estas producciones fueron pensadas dentro del contexto tan particular que nos tocó vivir (y que aún nos toca) debido a la pandemia mundial por el Covid-19. Las actividades que encontrarán en este cuadernillo se produjeron en un momento en el que las Prácticas y Residencias de los profesorados de la Facultad de Artes, tomamos la difícil decisión de posponer las Residencias hasta el 2021. Docentes y estudiantes aún nos estábamos conociendo sin saber quiénes éramos las personas que estábamos del otro lado de las pantallas. A las cátedras de Prácticas y Residencias nos estaba costando mucho retomar el contacto con les docentes orientadores y las instituciones asociadas con las que veníamos trabajando desde años anteriores.Fil: Altamirano, Ivana. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Brunetti, Cintia. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Drewniak, Abril. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Álvarez, Alexia. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Braida, Agustina. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Sidorowicz, Agustina. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Reyes, Carolina. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Copertari, Daniela. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Soria, Facundo. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Beltramone, Fátima. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Boero, Federico. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Vargas, María de los Ángeles. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Scándalo, Mariana. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Ferrer, Natacha. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Susperregui, Paula. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Ceballos, Susana. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Rizzo Veiga, Sol Merlina. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Elizondo, Tomás. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Vaccalluzzo, Victoria. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina.Fil: Bilikyan, Vilma. Universidad Nacional de Córdoba. Facultad de Artes. Departamento Académico de Teatro; Argentina

Computational approaches to explainable artificial intelligence: Advances in theory, applications and trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.MCIU - Nvidia(UMA18-FEDERJA-084

Computational approaches to Explainable Artificial Intelligence:Advances in theory, applications and trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9th International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications.</p

Computational Approaches to Explainable Artificial Intelligence:Advances in Theory, Applications and Trends

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted in complex and non-linear artificial neural systems, excel at extracting high-level features from data. DL has demonstrated human-level performance in real-world tasks, including clinical diagnostics, and has unlocked solutions to previously intractable problems in virtual agent design, robotics, genomics, neuroimaging, computer vision, and industrial automation. In this paper, the most relevant advances from the last few years in Artificial Intelligence (AI) and several applications to neuroscience, neuroimaging, computer vision, and robotics are presented, reviewed and discussed. In this way, we summarize the state-of-the-art in AI methods, models and applications within a collection of works presented at the 9 International Conference on the Interplay between Natural and Artificial Computation (IWINAC). The works presented in this paper are excellent examples of new scientific discoveries made in laboratories that have successfully transitioned to real-life applications

Arte contemporáneo, inclusión y transformación social.

Actividad CePIAbierto (RHCD FA Nº 103/2018). El eje central del proyecto es una exposición de los procesos realizados en los talleres de artes del Centro Vida Nueva (San Juan) y el Centro Educativo Terapéutico Lihue Vidas (Córdoba), junto a una selección de sus producciones visuales. Tanto éstas producciones como su montaje se propone desde un planteo contemporáneo y ampliado de las artes visuales, donde diversas disciplinas (como pintura, fotografía, video, registro de experiencias, textos e instalaciones) y diversos campos no artísticos (como pedagógico, social, psicológico, etc) se entrecruzan y construyen de manera colaborativa la experiencia propuesta, rescatando y revalorizando sobre todo el proceso de trabajo y no sólo el resultado final. Se realizó también una charla-debate con lxs artistas que pone en cuestión ideas ejes que atraviesan el trabajo artístico de las personas con discapacidad, la valoración positiva de la diferencia, la importancia y necesidad de poner en práctica concreta la inclusión en los diferentes ámbitos educativos-artísticos-culturales. Por último, se pintó colectivamente un mural como modo de compartir una experiencia de creación colectiva, junto a lxs artistas expositorxs.Actividad CePIAbierto (RHCD FA Nº 103/2018). Una experiencia artística expositiva que propone pensar la discapacidad no como un problema, sino como una pregunta que nos despierta. Pinturas, dibujos, charlas y un mural colectivo, dan cuenta de un proceso de trabajo artístico y de encuentro entre diversas personas que comparten un mismo hacer y placer: pintar, dibujar (¡y bailar!).Fil: Tamagni, Julia. Universidad Nacional de Córdoba. Centro Educativo Terapéutico Lihue Vidas; Argentina.Fil: Bula, Nadia. Centro Vida Nueva, Institución Aleluya-ARID.Fil: Maggio, Natalia. Universidad Católica de Cuyo. Centro Vida Nueva, Institución Aleluya-ARID.Fil: Scheidegger, Emiliano. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Walter, Florencia. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Belkys Scolamieri, Delia Lozano. Universidad Católica de Córdoba. Facultad de Educación. Apukay; Argentina

Evolving trends in the management of acute appendicitis during COVID-19 waves. The ACIE appy II study

Background: In 2020, ACIE Appy study showed that COVID-19 pandemic heavily affected the management of patients with acute appendicitis (AA) worldwide, with an increased rate of non-operative management (NOM) strategies and a trend toward open surgery due to concern of virus transmission by laparoscopy and controversial recommendations on this issue. The aim of this study was to survey again the same group of surgeons to assess if any difference in management attitudes of AA had occurred in the later stages of the outbreak. Methods: From August 15 to September 30, 2021, an online questionnaire was sent to all 709 participants of the ACIE Appy study. The questionnaire included questions on personal protective equipment (PPE), local policies and screening for SARS-CoV-2 infection, NOM, surgical approach and disease presentations in 2021. The results were compared with the results from the previous study. Results: A total of 476 answers were collected (response rate 67.1%). Screening policies were significatively improved with most patients screened regardless of symptoms (89.5% vs. 37.4%) with PCR and antigenic test as the preferred test (74.1% vs. 26.3%). More patients tested positive before surgery and commercial systems were the preferred ones to filter smoke plumes during laparoscopy. Laparoscopic appendicectomy was the first option in the treatment of AA, with a declined use of NOM. Conclusion: Management of AA has improved in the last waves of pandemic. Increased evidence regarding SARS-COV-2 infection along with a timely healthcare systems response has been translated into tailored attitudes and a better care for patients with AA worldwide