Resultados de investigación

Este proyecto de investigación-creación se sitúa en la vanguardia de las artes performativas y la interacción cuerpo-tecnología. La investigación se centra en el desarrollo de interfaces corporales (wearables) sensorizadas que permiten la captura de datos cinéticos y biométricos para su transformación en entornos sonoros a tiempo real. A través de una metodología basada en el prototipado electrónico y la experimentación corporal y sonora, la obra explora el concepto de hiper-instrumento, donde el cuerpo del intérprete se convierte en el generador directo de la composición musical. La relevancia de este trabajo reside en su capacidad para hibridar la danza contemporánea, la creación sonora con la ingeniería de sistemas de control, habiendo sido validado en escenarios de alto prestigio nacional e internacional en Londres, Taipei y Madrid. El documento depositado incluye el dossier técnico, la memoria de investigación y el registro visual de las presentaciones institucionales apoyadas por organismos e instituciones El proyecto contó con el respaldo institucional y la promoción de la Cámara de Comercio de España en Taiwán (Secretaría de Estado de Comercio - ICEX), siendo reconocido como un exponente de la innovación en el arte español contemporáneo así como el DAP-Lab (Brunel University. Londres, Reino Unido)., SynBody es un proyecto de investigación-creación que explora la convergencia entre las artes escénicas, las prendas de vestir programables (wearable computing) y la síntesis sonora. La investigación se centra en el diseño y desarrollo de hiper-instrumentos y dispositivos textiles provistos de sensores que transforman los datos cinéticos del cuerpo en parámetros musicales a tiempo real. El proyecto propone una nueva metodología en la interacción humano-computadora, donde la danza actúa como el motor de generación sonora. Los resultados de esta investigación han sido validados internacionalmente mediante su presentación en instituciones de prestigio como la Brunel University (Londres), Universidad de Taipei (Taiwán) , así como en foros de arte contemporáneo nacionales (ArtMadrid, Museo Complutense). Esta aportación documenta tanto el desarrollo técnico de los prototipos como su impacto en la escena digital contemporánea., ICEX España Exportación e Inversiones; Cámara de Comercio de España en Taiwán; Universidad de Taipei, (Taiwán); DAP-Lab. Brunel University London (reino Unido); Museo Complutense (Exposición Arte y Carne / INJUVE). El desarrollo y la difusión internacional de este trabajo de investigación-creación han contado con el respaldo de diversas instituciones públicas y organismos de promoción exterior. La producción y exhibición en el contexto asiático fueron apoyadas institucionalmente por el ICEX España Exportación e Inversiones y la Cámara de Comercio de España en Taiwán, en colaboración con el Departamento de Danza de la Universidad de Taipei, Taiwán. Asimismo, el proyecto ha recibido soporte logístico y de infraestructura para su validación tecnológica por parte del DAP-Lab (Brunel University London) y soporte para su difusión nacional a través del Museo Complutense, en el marco de la colaboración con el INJUVE. El soporte institucional de la Universidad Carlos III (UC3M) ha sido fundamental para la consolidación de la línea de investigación.

Cartel elaborado para la difusión de la actividad cultural titulada “Cine y Pueblo Gitano. La imagen olvidada”, centrada en la representación del Pueblo Gitano en el ámbito audiovisual. El programa del evento incluye la presentación del libro La imagen del Pueblo Gitano: De la literatura al cine, con Emilio I. Cortés y Sally Cortés, y la proyección de la película Gran redada gitana: Historia de un genocidio, con la participación de su directora, Pilar Távora. El acto tendrá lugar el 28 de abril 2026 a las 16:00 h en el Auditorio de la Facultad de Bellas Artes de la Universitat Politècnica de València.

This dataset contains network traffic data captured from a real Industrial Control System (ICS) testbed, designed to support research on cybersecurity, intrusion detection, and anomaly detection in industrial environments. The dataset has been generated from a laboratory-scale industrial installation that emulates a real operational scenario, including Programmable Logic Controllers (PLCs), industrial communication protocols, and controlled cyber-attack scenarios. Traffic includes both normal operation and malicious behavior introduced through Man-in-the-Middle (MitM) attacks. The dataset is intended for academic and research purposes, particularly for the evaluation of Machine Learning and Deep Learning techniques applied to ICS cybersecurity.

Background The molecular effects involved in the cellular response to non-ioninzing electromagnetic radiation on marine and freshwater microalgae and fish cell lines are incompletely understood. Objectives The direct impact of non-ionizing electromagnetic radiation on marine and freshwater microalgae and fish cell lines was investigated. Methods Six microalgae species from different taxonomic groups were exposed to extremely low-frequency electromagnetic fields (ELF-EMF) for five days. Four fish cell lines (SAF-1, DLB-1, DLEC, and Fugu eye) were exposed to ultraviolet (UV) radiation, with SAF-1 demonstrating the highest sensitivity. In addition, three commercial antioxidants (2101, 3600, and 4004) were tested for their possible radioprotective effects. Results Although no statistically significant differences in cell density were observed, certain taxa (Chlorotylium sp., Mayamea sp., and Scenedesmus sp.) exhibited a declining trend compared to the controls, suggesting species-specific sensitivity to ELF-EMF. Principal component analysis revealed significant differences in physiological responses, particularly in photosynthetic variables such as electron transport rate and dissolved carbon. The total antioxidant capacity did not differ significantly between the control and exposed microalgae, and Chlorotylium sp. showed the highest basal levels. The photosystem II productivity index remained largely unaffected by ELF-EMF exposure, except for an increase in irradiated Scenedesmus sp. Low antioxidant concentrations (≤125 µg/ml) and short incubation times (6 h) of 2101 and 3600 induced proliferation or increased cell viability, particularly under irradiation. However, prolonged incubation time (24 h) or high antioxidant concentrations (≥250 µg/ml) resulted in significant cytotoxicity in all cell lines.

1.Description of the methodology used to generate the dataset. Basic descriptive methods (standard deviation, range, etc.) were used for descriptive statistical analysis of the measured variables. Cronbach’s alpha was applied to assess the reliability of the scales, with values of 0.70 for the IFIS scale and 0.79 for the PACES scale. Because the sample size was over 50, the Kolmogorov–Smirnov test was performed to verify a normal distribution of the data for each variable. A mean analysis of independent samples was performed for the gender variable through a student’s t-test and for the weight percentile category variable through an ANOVA. Bivariate correlations between numerical variables were established through the Pearson test to determine possible interactions between variables. 2. Software or tools needed to interpret the data. [Include the version of the software. If specific software with restricted access is required, explain how to obtain it. Assess whether it is possible to change the dataset to an open format (recommended)]. Data analysis was conducted using the Statistical Package for Social Science® software, version 28 (SPSS®, Chicago, IL, USA). 3. Procedures followed for data quality assurance. With a significance level of α = 0.05 and a perfect correlation coefficient when r = |1|, very strong when |0.8| ≤ r < |1|, strong when |0.5| ≤ r < |0.8|, weak when |0.3| ≤ r < 0 and null when r = 0.

1.Description of the methodology used to generate the dataset. Qualitative variables were described by absolute (n) and relative (%) frequencies; mean and standard deviation (SD) for quantitative variables. For the study of the evolution of children’s psychomotor skills according to gender, a two-factor ANOVA test with repeated measures in one of them was carried out using the General Linear Model (GLM) procedure. The dimensions of performance were studied using the Wilcoxon test. The logistic regression model was used to determine the effect of the improvement in the dimensions of psychomotor skills on the improvement in each of the performance dimensions: SA, LG, and KE. 2. Software or tools needed to interpret the data. [Include the version of the software. If specific software with restricted access is required, explain how to obtain it. Assess whether it is possible to change the dataset to an open format (recommended)]. Statistical analysis was performed with SPSS 25.0 for Windows. 3. Procedures followed for data quality assurance. The differences considered statistically significant are those whose p < 0.05.

1.Description of the methodology used to generate the dataset. Se diseñó una hoja de registro en la que se apuntaron los valores obtenidos por cada jugador en cada una de las pruebas. 2. Software or tools needed to interpret the data. [Include the version of the software. If specific software with restricted access is required, explain how to obtain it. Assess whether it is possible to change the dataset to an open format (recommended)]. Los programas informáticos utilizados para el análisis de datos fueron Microsoft Excel y SPSS Statistics 23. 3. Procedures followed for data quality assurance. Se aplicaron técnicas de estadística descriptiva: media y desviación estándar. Además, para analizar las diferencias entre grupos de edad se utilizó ANOVA de un factor o sentido (Análisis de Varianza), con análisis Post-hoc y comparaciones múltiples de la prueba HSD Tukey. En cada uno de los casos, el valor P < 0.05 fue considerado como diferencia significativa. A continuación, se estudiaron los valores medios obtenidos de los jugadores y los correspondientes percentiles, analizando las diferencias en función de la edad de los sujetos. Para el estudio de los percentiles se utilizaron referencias reconocidas internacionalmente: CN (Prat, 1993), MG (McCarthy, Cole, Fry, Jebb y Prentice, 2006), IMC (Cole y Lobstein, 2012), FC (Fleming et al., 2011) y MME (McCarthy, Samani-Radia, Jebb y Prentice, 2014).

1.Description of the methodology used to generate the dataset. The data were analysed using non-parametric statistical tests because they did not conform to a normal distribution. For this purpose, the Kolmogorov–Smirnov normality test was used. A bivariate correlation was performed using Spearman’s Rho test between the different constructs and factors that made up the SCQ-S tool in the sample under study. Likewise, using the chi-square test, we attempted to determine the relationship between the different nominal categorical variables added to the tool. Independent samples mean analysis was also performed using the Mann–Whitney U-test when the number of groups was 2 and the Kruskal–Wallis test when the number of groups was greater than 2. In addition, exploratory factor analysis was performed using principal axis factoring and Vari-max rotation based on a fixed number of 9 factors to be extracted, determined by a previous thorough literature review. The adequacy of the sample and the reliability of the factor models were assessed using Kaiser–Meyer–Olkin and Cronbach’s alpha. Descriptive data on means and standard deviations of the numerical variables included in the study were also obtained. 2. Software or tools needed to interpret the data. [Include the version of the software. If specific software with restricted access is required, explain how to obtain it. Assess whether it is possible to change the dataset to an open format (recommended)]. Data analysis was carried out with Statistical Package for Social Science® software, version 28 (SPSS®, Chicago, IL, USA). 3. Procedures followed for data quality assurance. The level of statistical significance was p < 0.05. For those cases where significance was obtained, effect size and statistical power were analysed using G*Power 3.1.9.7.