UNA APLICACIÓN COLABORATIVA PARA LA GESTIÓN DE PROTOCOLOS DE TESIS BASADA EN UNA RASPBERRY PI (A COLLABORATIVE APPLICATION FOR THE MANAGEMENT OF THESIS PROTOCOLS BASED ON RASPBERRY PI)

Resumen Una aplicación colaborativa apoya a un grupo de personas alcanzar conjuntamente un objetivo común a través de una interfaz de usuario compartida; siendo utilizadas estas aplicaciones en el ámbito educativo (e-learning), de comunicación (videoconferencias) de entretenimiento (redes sociales), de gestión (compartir archivos) y en muchos otros. Esta interacción entre los miembros del grupo implica una gran cantidad de peticiones (incluyendo concurrentes) de cada uno a la aplicación y entre ellos. Lo que implica realizar un manejo adecuado de las mismas para una pronta y adecuada respuesta. Por tanto, en este artículo se plantea desarrollar una aplicación colaborativa para la gestión de protocolos de tesis, funcionando como una API colocada en una Raspberry PI, que será el servidor; para gestionar el almacenamiento, peticiones y respuestas de información de una manera simple y económica tanto para dispositivos moviles como aplicaciones en la Web. Palabras Clave: API, aplicación colaborativa, protocolos de tesis, Raspberry PI, desarrollo móvil y Web. Abstract A collaborative application supports a group of people to jointly achieve a common goal through a shared user interface; being used these applications in the educational (e-learning), of communication (videoconferences) of entertainment (social networks), of management (sharing files) environment, and in many others. This interaction between group members implies a large number of requests (including concurrent ones) from each to the application and between them. Which implies to carry out an adequate handling of them for a prompt and adequate response. Therefore, in this paper a collaborative application for the management of thesis protocols, is proposed; by functioning as an API placed in a Raspberry PI. This will be the server; to manage the storage, requests and responses of information in a simple and economical way for both mobile devices and applications on the Web. Keywords: API, collaborative application, mobile and Web development, Raspberry PI, thesis protocols

SISTEMA DE RECONOCIMIENTO DE VOZ BASADO EN UN MÉTODO DE APRENDIZAJE SUPERVISADO Y LA CORRELACIÓN DE PEARSON (K-NN ALGORITHM AND PEARSON CORRELATION-BASED A VOICE RECOGNITION SYSTEM)

Resumen El reconocimiento automático de voz es una disciplina de la inteligencia artificial, que tiene como objetivo permitir la comunicación hablada entre seres humanos y computadoras. Este artículo propone un sistema de reconocimiento de voz, basado en la extracción de características distintivas de la voz y el método de aprendizaje supervisado, denominado algoritmo k-NN (k-Nearest Neighbors), que requiere del entrenamiento del sistema. Así como se plantea calcular automáticamente por medio de la correlación de Pearson, para que el sistema de reconocimiento de voz sea más del algoritmo k-NN. Finalmente, se evalúa el sistema con voces de personajes conocidos para centrarse en la eficiencia del sistema. Palabras Clave: Algoritmo K-vecinos más cercanos, correlación de Pearson, entrenamiento, extracción de características, sistema de reconocimiento de voz. Abstract Automatic speech recognition or automatic voice recognition is a discipline of artificial intelligence, which aims to allow spoken communication between humans and computers. This paper proposes a speech recognition system, based on the extraction of distinctive characteristics of the voice, and the k-NN (k-Nearest Neighbors) algorithm, which requires training of the system. As well as, it, presents the calculation of through Pearson's correlation, in this way k will not be fixed, and the speech recognition will be most efficient. Finally, the system is evaluated; by using known characters for it focuses on the efficiency of such system. Keywords: Feature extraction, k-Nearest neighbors Pearson correlation, training, voice recognition system

APLICACIÓN MOVIL PARA EL ANÁLISIS, RECONOCIMIENTO Y RECUPERACIÓN DE INFORMACIÓN DE OBRAS DE ARTE DE UN MUSEO (MOBILE APP FOR ANALYSIS, RECOGNITION, AND RETRIEVAL OF INFORMATION OF MUSEUM ARTWORKS)

Resumen Al visitar un museo, la información completa sobre una obra de arte puede requerirse; sin embargo, a un lado de la misma sólo se encuentran su nombre y del artista. Por tanto, en este trabajo se presenta el análisis y reconocimiento una obra de arte mediante la fotografía tomada con el celular del visitante, así como la recuperación de los datos más relevantes de la misma. De tal manera, que se obtenga la información completa en ese momento. Esta propuesta resulta importante para cualquier persona interesada en la cultura o que simplemente sienta curiosidad por una obra de arte. Consecuentemente, la aplicación resultante se puede ofrecer como un servicio en la nube a todas estas personas, con un tiempo de respuesta mínimo. Además, en la literatura revisada no se encontró una aplicación que brinde este servicio, tal y como, se especifica en este artículo. Palabras Clave: Análisis de información, obras de arte, museo, reconocimiento de información, recuperación de información. Abstract When visiting a museum, you may want complete information about an artwork. However, to one side of it, only its name and artist are found. Therefore, in this work, the photograph analysis and recognition of an artwork taken with the visitor's cell phone, as well as, the retrieving the most relevant data from it; are presented. In such a way, that it obtains the complete information at that moment. This proposal is important for anyone interested in culture, or simply curious about an art work. Consequently, the resulting application can be offered as a cloud service to all of these people, with minimal response time. Furthermore, in the literature reviewed, an application that provides this service as specified in this article, was not found. Keywords: Artworks, information analysis, information recognition, information retrieval, museum

Effectiveness of an intervention for improving drug prescription in primary care patients with multimorbidity and polypharmacy:Study protocol of a cluster randomized clinical trial (Multi-PAP project)

This study was funded by the Fondo de Investigaciones Sanitarias ISCIII (Grant Numbers PI15/00276, PI15/00572, PI15/00996), REDISSEC (Project Numbers RD12/0001/0012, RD16/0001/0005), and the European Regional Development Fund ("A way to build Europe").Background: Multimorbidity is associated with negative effects both on people's health and on healthcare systems. A key problem linked to multimorbidity is polypharmacy, which in turn is associated with increased risk of partly preventable adverse effects, including mortality. The Ariadne principles describe a model of care based on a thorough assessment of diseases, treatments (and potential interactions), clinical status, context and preferences of patients with multimorbidity, with the aim of prioritizing and sharing realistic treatment goals that guide an individualized management. The aim of this study is to evaluate the effectiveness of a complex intervention that implements the Ariadne principles in a population of young-old patients with multimorbidity and polypharmacy. The intervention seeks to improve the appropriateness of prescribing in primary care (PC), as measured by the medication appropriateness index (MAI) score at 6 and 12months, as compared with usual care. Methods/Design: Design:pragmatic cluster randomized clinical trial. Unit of randomization: family physician (FP). Unit of analysis: patient. Scope: PC health centres in three autonomous communities: Aragon, Madrid, and Andalusia (Spain). Population: patients aged 65-74years with multimorbidity (≥3 chronic diseases) and polypharmacy (≥5 drugs prescribed in ≥3months). Sample size: n=400 (200 per study arm). Intervention: complex intervention based on the implementation of the Ariadne principles with two components: (1) FP training and (2) FP-patient interview. Outcomes: MAI score, health services use, quality of life (Euroqol 5D-5L), pharmacotherapy and adherence to treatment (Morisky-Green, Haynes-Sackett), and clinical and socio-demographic variables. Statistical analysis: primary outcome is the difference in MAI score between T0 and T1 and corresponding 95% confidence interval. Adjustment for confounding factors will be performed by multilevel analysis. All analyses will be carried out in accordance with the intention-to-treat principle. Discussion: It is essential to provide evidence concerning interventions on PC patients with polypharmacy and multimorbidity, conducted in the context of routine clinical practice, and involving young-old patients with significant potential for preventing negative health outcomes. Trial registration: Clinicaltrials.gov, NCT02866799Publisher PDFPeer reviewe

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

Actas de las V Jornadas ScienCity 2022. Fomento de la Cultura Científica, Tecnológica y de Innovación en Ciudades Inteligentes

ScienCity es una actividad que viene siendo continuada desde 2018 con el objetivo de dar a conocer los conocimientos y tecnologías emergentes siendo investigados en las universidades, informar de experiencias, servicios e iniciativas puestas ya en marcha por instituciones y empresas, llegar hasta decisores políticos que podrían crear sinergias, incentivar la creación de ideas y posibilidades de desarrollo conjuntas, implicar y provocar la participación ciudadana, así como gestar una red internacional multidisciplinar de investigadores que garantice la continuación de futuras ediciones. En 2022 se recibieron un total de 48 trabajos repartidos en 25 ponencias y 24 pósteres pertenecientes a 98 autores de 14 instituciones distintas de España, Portugal, Polonia y Países Bajos.Fundación Española para la Ciencia y la Tecnología-Ministerio de Ciencia, Innovación y Universidades; Consejería de la Presidencia, Administración Pública e Interior de la Junta de Andalucía; Estrategia de Política de Investigación y Transferencia de la Universidad de Huelva; Cátedra de Innovación Social de Aguas de Huelva; Cátedra de la Provincia; Grupo de investigación TEP-192 de Control y Robótica; Centro de Investigación en Tecnología, Energía y Sostenibilidad (CITES

UNA METODOLOGÍA PARA APLICAR UN ASISTENTE DE VOZ EN TESTS DE RITMO Y ESTILO DE APRENDIZAJE PARA LA EDUCACIÓN PRIMARIA (A METHODOLOGY FOR APPLYING A VOICE VIRTUAL ASSISTANT IN THE LEARNING RHYTHM AND STYLE TESTS IN ELEMENTARY SCHOOL)

Resumen En el ámbito educativo se han llevado a cabo varias estrategias para reducir el rezago, cada una tiene sus ventajas y desventajas; pero coinciden en que es necesario conocer la rapidez y la forma en cada estudiante aprende. En consecuencia, se recomienda aplicar test de ritmo de aprendizaje y test de estilo de aprendizaje. Sin embargo, cuando estos tests se aplican en la escuela primaria, es posible que los estudiantes no sepan leer, ni escribir; impidiendo a los niños responder a éstos. Por ello, en este trabajo se presenta una metodología que permite aplicar un asistente de voz virtual para realizar dichos tests en escuelas primarias en México. Esta metodología integra algunos pasos del asistente y su incorporación en una plataforma de aprendizaje colaborativo asistido por computadora, llamado TUTOAULA, que apoya el proceso de enseñanza-aprendizaje. Finalmente, se presenta un estudio de caso para demostrar la viabilidad de la propuesta. Palabras Clave: Aprendizaje colaborativo asistido por computadora, asistente de voz, metodología, test de ritmo de aprendizaje, test de estilo de aprendizaje. Abstract In the educational field several strategies have been carried out to reduce the educational lag. Each has its advantages and disadvantages; but they agree that there are things that should be known like: the speed to learn from each student and the way they do it. Consequently, rhythm and learning style test should be applied. However, when these tests are performed at the elementary school, the students may not know to read or write; which would prevent them from responding to the tests. Therefore, in this paper a methodology to apply a virtual voice assistant on such tests, is presented, in order to performed these in elementary school in Mexico. This methodology integrates some steps of the assistant and its incorporation to a platform of Computer Supported Collaborative Learning (CSCL), called TUTOAULA, which supports the teaching-learning process. Finally, a case study is presented to demonstrate the viability of the proposal. Keywords: Computer Supported Cooperative Learning, learning rhythm test, learning style test, methodology, voice assistant

Successful engraftment of gene-corrected hematopoietic stem cells in non-conditioned patients with Fanconi anemia

International audienceFanconi anemia (FA) is a DNA repair syndrome generated by mutations in any of the 22 FA genes discovered to date1,2. Mutations in FANCA account for more than 60% of FA cases worldwide3,4. Clinically, FA is associated with congenital abnormalities and cancer predisposition. However, bone marrow failure is the primary pathological feature of FA that becomes evident in 70–80% of patients with FA during the first decade of life5,6. In this clinical study (ClinicalTrials.gov, NCT03157804; European Clinical Trials Database, 2011-006100-12), we demonstrate that lentiviral-mediated hematopoietic gene therapy reproducibly confers engraftment and proliferation advantages of gene-corrected hematopoietic stem cells (HSCs) in non-conditioned patients with FA subtype A. Insertion-site analyses revealed the multipotent nature of corrected HSCs and showed that the repopulation advantage of these cells was not due to genotoxic integrations of the therapeutic provirus. Phenotypic correction of blood and bone marrow cells was shown by the acquired resistance of hematopoietic progenitors and T lymphocytes to DNA cross-linking agents. Additionally, an arrest of bone marrow failure progression was observed in patients with the highest levels of gene marking. The progressive engraftment of corrected HSCs in non-conditioned patients with FA supports that gene therapy should constitute an innovative low-toxicity therapeutic option for this life-threatening disorder