Development and Diagnosis of a Teaching Experience Using Participatory Methods: Towards an Ecosystemic Learning in Higher Education

The redefinition of the objectives of the European Higher Education Area (EHEA) generates novelty in the teaching design developed by universities. The constructivist perspective encourages the use of methods that promote teamwork, an interest for information searching, autonomy and an increased motivation for learning, among others. Currently, the acquisition of the established curricular content receives feedback thanks to information and communication technologies (ICTs). This research describes the implementation of an experience related to the use of teaching/learning participatory methods with first- and second-year students in Early Childhood Education and Primary Education bachelor’s degrees. This experience is based on flipped classrooms and role-playing and is supported by ICTs. A questionnaire was delivered to a total of 100 individuals on their perception of participatory methods and their assessment of the methods used for the described experience. After performing the analysis, the conclusions showed that higher education students considered that classroom implementation of emerging methods helped them at a theoretical, practical and professional level as well as motivated them, which allows us to advance towards the goals of the EHEA

Cov-caldas: A new COVID-19 chest X-Ray dataset from state of Caldas-Colombia

The emergence of COVID-19 as a global pandemic forced researchers worldwide in various disciplines to investigate and propose efficient strategies and/or technologies to prevent COVID-19 from further spreading. One of the main challenges to be overcome is the fast and efficient detection of COVID-19 using deep learning approaches and medical images such as Chest Computed Tomography (CT) and Chest X-ray images. In order to contribute to this challenge, a new dataset was collected in collaboration with “S.E.S Hospital Universitario de Caldas” (https://hospitaldecaldas.com/) from Colombia and organized following the Medical Imaging Data Structure (MIDS) format. The dataset contains 7,307 chest X-ray images divided into 3,077 and 4,230 COVID-19 positive and negative images. Images were subjected to a selection and anonymization process to allow the scientific community to use them freely. Finally, different convolutional neural networks were used to perform technical validation. This dataset contributes to the scientific community by tackling significant limitations regarding data quality and availability for the detection of COVID-19. © 2022, The Author(s)

Study protocol for the multicentre cohorts of Zika virus infection in pregnant women, infants, and acute clinical cases in Latin America and the Caribbean: The ZIKAlliance consortium

Background: The European Commission (EC) Horizon 2020 (H2020)-funded ZIKAlliance Consortium designed a multicentre study including pregnant women (PW), children (CH) and natural history (NH) cohorts. Clinical sites were selected over a wide geographic range within Latin America and the Caribbean, taking into account the dynamic course of the ZIKV epidemic. Methods: Recruitment to the PW cohort will take place in antenatal care clinics. PW will be enrolled regardless of symptoms and followed over the course of pregnancy, approximately every 4 weeks. PW will be revisited at delivery (or after miscarriage/abortion) to assess birth outcomes, including microcephaly and other congenital abnormalities according to the evolving definition of congenital Zika syndrome (CZS). After birth, children will be followed for 2 years in the CH cohort. Follow-up visits are scheduled at ages 1-3, 4-6, 12, and 24 months to assess neurocognitive and developmental milestones. In addition, a NH cohort for the characterization of symptomatic rash/fever illness was designed, including follow-up to capture persisting health problems. Blood, urine, and other biological materials will be collected, and tested for ZIKV and other relevant arboviral diseases (dengue, chikungunya, yellow fever) using RT-PCR or serological methods. A virtual, decentralized biobank will be created. Reciprocal clinical monitoring has been established between partner sites. Substudies of ZIKV seroprevalence, transmissio

Failure analysis of firewater pipeline

This paper presents the failure analysis of a fire water pipe line from a petrochemical industry. Leakages were noticed at the top portion of the pipeline. Severe deep pits were observed at the top inner surface and deposits found at the bottom inner surface of the pipe line. Visual inspection, microscopic examination, chemical and water analyses were employed in the present failure analysis. The analysis results showed that the failure occurred due to the severe oxygen corrosion attack at the top portion of the pipe while the bottom surface of the pipe suffered from under deposit corrosion. The fire water pipe line was made of low carbon steel

Análisis de la información financiera 2019 – 2020 del impacto generado por la emergencia sanitaria asociada al Covid -19 en la Cooperativa Cootraban, Apartadó

En el año 2020 las empresas del sector solidario, como las Cooperativas, Fundaciones, Fondos de empleados, entre otras, se vieron obligadas a implementar medidas para la disminución, propagación y prevención de contagios del Coronavirus por la emergencia sanitaria a nivel nacional estipulada el 25 de marzo de este mismo año, medidas las cuales afectaron de manera directa la realidad operacional y actividades ordinarias de estas entidades. Por lo tanto, en el presente trabajo se realizará un análisis a la información financiera de los años 2019-2020 del impacto generado por la emergencia sanitaria asociada al Covid-19 en la Cooperativa Cootraban de Apartadó, por ello se realizó un diseño de una monografía de grado desde un enfoque mixto, lo cual, esta acción brindo insumos e información relevante que permitieron identificar una serie de impactos en la información de esta entidad al finalizar el cierre de periodo del 2020. Las medidas que ocasionaron efectos como cierres temporales, recorte de personal, disminución en ingresos por ventas, aumento de las obligaciones con tercero bien sean proveedores o entidades financieras, aumento en los intereses bancarios donde esta eventualidad ha atraído efectos financieros sobre los niveles de liquidez, endeudamiento y rentabilidad.In 2020, companies in the solidarity sector, such as Cooperatives, Foundations, Employee Funds, among others, were forced to implement measures to reduce, spread and prevent Coronavirus infections due to the national health emergency stipulated on the 25th March of this year, measures which directly affected the operational reality and ordinary activities of these entities. Therefore, in this work an analysis of the financial information for the years 2019-2020 will be made of the impact generated by the health emergency associated with Covid-19 in the Cooperativa Cootraban de Apartadó, for this reason a monograph design was made degree from a mixed approach, which, this action provided inputs and relevant information that allowed to identify a series of impacts on the information of this entity at the end of the 2020 period end. The measures that caused effects such as temporary closures, staff cuts, decrease in sales income, increase in obligations with third parties, whether they are suppliers or financial entities, increase in bank interest where this eventuality has attracted financial effects on liquidity levels, indebtedness and profitability.Agradecimientos. -- Resumen. -- Abstract. -- Introducción. -- Planteamiento del problema. -- Antecedentes. -- Justificación. -- Objetivos -- Objetivo General. -- Objetivos específicos. -- Marco referencial. -- Marco contextual. -- Marco teórico. -- Marco legal. -- Marco conceptual. -- Metodología. -- Enfoque metodológico. -- Población y muestra. -- Población. -- Recursos. -- Técnicas e instrumentos. -- Resultados. -- Análisis de resultado. -- Interpretación de datos. -- Conclusiones. -- Recomendaciones. -- [email protected]@[email protected]

Virtual network topology adaptability based on data analytics for traffic prediction

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The introduction of new services requiring large and dynamic bitrate connectivity can cause changes in the direction of the traffic in metro and even core network segments throughout the day. This leads to large overprovisioning in statically managed virtual network topologies (VNTs), which are designed to cope with the traffic forecast. To reduce expenses while ensuring the required grade of service, in this paper we propose a VNT reconfiguration approach based on data analytics for traffic prediction (VENTURE). It regularly reconfigures the VNT based on the predicted traffic, thus adapting the topology to both the current and the predicted traffic volume and direction. A machine learning algorithm based on an artificial neural network is used to provide robust and adaptive traffic models. The reconfiguration problem that takes as its input the traffic prediction is modeled mathematically, and a heuristic is proposed to solve it in practical times. To support VENTURE, we propose an architecture that allows collecting and storing data from monitoring at the routers and that is used to train predictive models for every origin-destination pair. Exhaustive simulation results of the algorithm, together with the experimental assessment of the proposed architecture, are finally presented.Peer ReviewedPostprint (published version

Colon Cancer Pharmacogenetics: A Narrative Review

Currently, metastatic colon cancer is treated with monotherapeutic regimens such as folinic acid, fluorouracil, and oxaliplatin (FOLFOX), capecitabine and oxaliplatin (CapeOX), and leucovorin, fluorouracil, and irinotecan hydrochloride (FOLFIRI). Other treatments include biological therapies and immunotherapy with drugs such as bevacizumab, panitumumab, cetuximab, and pembrolizumab. After the research, it was found that some mutations make those treatments not as effective in all patients. In this bibliographic review, we investigated the pharmacogenetic explanations for how mutations in the genes coding for rat sarcoma virus (RAS) and rapidly accelerated fibrosarcoma (RAF) reduce the effectiveness of these treatments and allow the continued proliferation of tumors. Furthermore, we note that patients with mutations in the dihydropyrimidine dehydrogenase (DPDY) gene usually require lower doses of therapies such as 5-fluorouracyl (5-FU) and capecitabine to avoid severe adverse effects. Some other mutations in the thymidylate synthase gene (TSYM), methylenetetrahydrofolate reductase gene (MTHFR), and ATP binding cassette transporter B (ABCB1 and ABCB2) affect efficacy and security of the treatments. It is important to address the clinical implication of the oncologist in the study of gene mutations than can influence in the antitumoral response and safety of colon cancer treatments