Usability Evaluation of a Private Social Network on Mental Health for Relatives

Usability is one of the most prominent criteria that must be fulfilled by a software product. This study aims to evaluate the usability of SocialNet, a private social network for monitoring the daily progress of patients by their relatives, using a mixed usability approach: heuristic evaluation conducted by experts and user testing. A double heuristic evaluation with one expert evaluator identified the issues related to consistency, design, and privacy. User testing was conducted on 20 users and one evaluator using observation techniques and questionnaires. The main usability problems were found to be related to the structure of SocialNet, and the users presented some difficulties in locating the buttons or links. The results show a high level of usability and satisfaction with the product. This evaluation provides data on the usability of SocialNet based on the difficulties experienced by the users and the expert. The results help in redesigning the tool to resolve the identified problems as part of an iterative proces

Fear recognition for women using a reduced set of physiological signals

This article belongs to the Section Biomedical Sensors.Emotion recognition is benefitting from the latest research into physiological monitoring and wireless communications, among other remarkable achievements. These technologies can indeed provide solutions to protect vulnerable people in scenarios such as personal assaults, the abuse of children or the elderly, gender violence or sexual aggression. Cyberphysical systems using smart sensors, artificial intelligence and wearable and inconspicuous devices can serve as bodyguards to detect these risky situations (through fear-related emotion detection) and automatically trigger a protection protocol. As expected, these systems should be trained and customized for each user to ensure the best possible performance, which undoubtedly requires a gender perspective. This paper presents a specialized fear recognition system for women based on a reduced set of physiological signals. The architecture proposed is characterized by the usage of three physiological sensors, lightweight binary classification and the conjunction of linear (temporal and frequency) and non-linear features. Moreover, a binary fear mapping strategy between dimensional and discrete emotional information based on emotional self-report data is implemented to avoid emotional bias. The architecture is evaluated using a public multi-modal physiological dataset with two approaches (subject-dependent and subject-independent models) focusing on the female participants. As a result, the proposal outperforms the state-of-the-art in fear recognition, achieving a recognition rate of up to 96.33% for the subject-dependent model.This activity is partially supported by Community of Madrid in the pluri-annual agreement with Universidad Carlos III de Madrid, in the line of action "Excelence with the University Faculty", V Regional Plan of Scientific Research and Technology Innovation 2016-2020, and by the Community of Madrid Region Government under the Synergic Program: EMPATIA-CM, Y2018/TCS-5046

Características sólido-fluido en el crisol del horno alto según el modelo de desgaste nodal (MDN)

La porosidad del coque aparece como unas de las variables que más pueden afectar a la producción de arrabio y a la correspondiente corrosión de los revestimientos. Hasta el momento, en la bibliografía existente sobre la corrosión de los revestimientos, siempre se asocia un mayor desgaste con el correspondiente incremento del flujo del fluido (arrabio) en el crisol. No obstante, no se tiene referencia de ningún modelo determinístico que pudiera relacionar, desde el punto de vista teórico, las siguientes variables: corrosión de los revestimientos, porosidad del coque inactivo y flujo del arrabio en el crisol. El Modelo de Desgaste Nodal (MDN), además de justificar los perfiles de corrosión de los revestimientos a lo largo de la campaña, puede ser un instrumento eficaz para interpretar la porosidad del coque y los gradientes de velocidad del arrabio que se generan dentro del criso

Diseño e implementación de rutas divulgativas STEAM en Madrid: Un proyecto de Aprendizaje-Servicio

Se recoge información sobre el desarrollo de un proyecto de aprendizaje-servicio, implementado en la Universidad Politécnica de Madrid durante el año 2023. Tras introducir esta metodología educativa, se describen el contexto, los objetivos y los resultados del proyecto titulado ‘Madrid a ciencia cierta: Diseño e implementación de rutas guiadas con temática STEAM’. A través del proyecto, un grupo de alumnos y profesores colaboraron en el diseño e implementación de dos rutas divulgativas, en Madrid: ‘Los elementos químicos “españoles”: tres hitos del período de la Ilustración’ y ‘Los “altos del hipódromo”: una zona emblemática de la ‘Edad de Plata’ de la cultura española (1868-1936)’. El trabajo forma parte de la Comunidad ‘Equalitarian Societies: opportunnities for everyone (ES:04E)’, dentro de la comunidad de Universidades europeas EELISA

Tuning melatonin receptor subtype selectivity in oxadiazolone-based analogues: Discovery of QR2 ligands and NRF2 activators with neurogenic properties

New multi-target indole and naphthalene derivatives containing the oxadiazolone scaffold as a bioisostere of the melatonin acetamido group have been developed. The novel compounds were characterized at melatonin receptors MT1R and MT2R, quinone reductase 2 (QR2), lipoxygenase-5 (LOX-5), and monoamine oxidases (MAO-A and MAO-B), and also as radical scavengers. We found that selectivity within the oxadiazolone series can be modulated by modifying the side chain functionality and coplanarity with the indole or naphthalene ring. In phenotypic assays, several oxadiazolone-based derivatives induced signalling mediated by the transcription factor NRF2 and promoted the maturation of neural stem-cells into a neuronal phenotype. Activation of NRF2 could be due to the binding of indole derivatives to KEAP1, as deduced from surface plasmon resonance (SPR) experiments. Molecular modelling studies using the crystal structures of QR2 and the KEAP1 Kelch-domain, as well as the recently described X-ray free-electron laser (XFEL) structures of chimeric MT1R and MT2R, provided a rationale for the experimental data and afforded valuable insights for future drug design endeavoursThe authors gratefully acknowledge the following financial supports: Spanish Ministry of Science, Innovation and Universities; Spanish Research Agency; and European Regional Development Funds (grants RTI2018-093955-B-C21 and SAF2015-64948-C2-1-R to M.I.R.-F.; RTI2018-095793-B-I00 to M.G.L., SAF2015-64629-C2- 2-R to F.G.), General Council for Research and Innovation of the Community of Madrid and European Structural Funds (grant B2017/BMD-3827 e NRF24ADCM), Health Institute Carlos III (Miguel Servet II ProgramCP16/00014 and grant PI17/01700 to R.L.). CH-A and P.M. thank their PhD fellowships from Spanish Ministry of Education (MEC, PhD grant FPU16/01704 and mobility grant FPUEST17/00233 to CH-A and FPU13/03737 to P.M.)

Finding immunological differences to help diagnosis and early treatment of Kawasaki Disease and MIS-C (Multisystem Inflammatory Syndrome in Children)

Resumen del trabajo presentado en el 43 Congreso De La Sociedad Española de Inmunología, celebrado en León (España) del 22 al 24 de septiembre de 2022.The recent COVID-19 pandemic was first thought to spare children from health deprivation caused by infection with SARS-CoV-2. However, soon a new syndrome resembling Kawasaki Disease (KD) was reported: Multisystem Inflammatory Syndrome in Children (MIS-C). The aim of this study is to provide new biomarkers for both diseases in order to facilitate diagnosis and reduce the time-lapse until treatment is provided – which will reduce the risk of developing severe cardiovascular complications. An extensive immune system characterization by flow cytometry and serum protein characterization by a multiplex technology (Olink) was performed from fresh blood samples of patients with acute MIS-C (n=19) and KD (n=10). For protein characterization we also analysed recovery samples for these groups (n=19 and n=8, respectively). Besides the already described lymphopenia in MIS-C, we found additional significant immune differences in both groups. Although lymphocyte numbers (cells/ml) were lower in MIS-C, percentages of activated T-CD4+ and T-CD8+ cells were higher compared to KD. Moreover, when comparing activated T cells in MIS-C and KD individually, regulatory T cells (Treg) showed the highest levels. These data suggest a stronger response of T cells in MIS-C, and higher Treg activity in both groups, which could reflect the response to the excessive inflammation. Ratios previously described in other inflammatory conditions were evaluated: MIS-C showed higher neutrophil/lymphocyte and Th17/Treg ratios than KD, suggesting higher inflammatory conditions in this group. In addition, monocyte and dendritic cells (DCs) numbers were decreased in MIS-C relative to KD. Parallel to these inflammatory cellular profiles, we identified increased levels of inflammatory cytokines in plasma of patients during the acute phase of the disease compared to recovery samples. Moreover, IL-6, which is one of the main cytokines involved in cytokine storm in adult COVID-19, was higher in MIS-C suggesting, again, stronger inflammatory conditions in this pathology compared to KD

Del aprendizaje por competencias a la evaluación formativa de su adquisición: metodología y materiales

Ponencia presentada en: VI Jornadas de Innovación Docente de la UBU, Burgos, 23 y 24 de febrero de 2012, organizadas por el Instituto de Formación e Innovación Educativa-IFIE de la Universidad de Burgo