Resultados de investigación

The dataset contains the data that have been obtained during the synthesis and the characterization (structural, compositional, and electrochemical) of TiO2/ZnO2 hybrid nanostructures used in photoelectrochemical applications. TiO2/ZnO hybrid nanostructures were synthetized by electrochemical anodization of titanium to form TiO2 nanosponges with crystalline structure and subsequently ZnO electrodeposition. Different Zn(NO3)2 concentrations were used for electrodeposition (10–60 mM). A structural and compositional characterisation was performed using X-Ray Diffraction (XRD). Electrochemical characterisation of nanostructures was performed by Photoelectrochemical Water Splitting (PWS), stability to photocorrosion, Electrochemical Impedance Spectroscopy (EIS), and Mott-Schottky tests.

[EN] This dataset includes the scripts used to collect and analyze ResearchGate DOIs on the one hand, and the raw data collected on the other hand., Grant PID2022-142569NA-I00 funded by MCIN/AEI/10.13039/501100011033 and, by “ERDF A way of making Europe”, by the “European Union”.

This dataset includes supplementary material consisting of information on expert judgments, influence matrices, and calculations derived from the different case studies analyzed, which may help other researchers reproduce the work presented in the article.

This dataset contains the experimental data generated during the evaluation of six commercially available paints as potential indoor radon barriers. It includes the raw radon concentration measurements recorded in the source and receiver chambers during 48-hour diffusion tests performed on filter paper substrates coated with a single coat of each paint, the main specifications of the experimental set-up used to perform the measurements, and the thickness measurements of the coated samples. The experimental data were used to determine the radon concentration reduction and the radon diffusion coefficient following a modified version of the ISO/TS 11665-13:2017 standard, as reported in the associated conference contribution. The experimental data were generated using a two-chamber radon diffusion test following a modified version of ISO/TS 11665-13:2017. The experimental set-up consisted of two sealed AISI 316L stainless steel chambers separated by the test sample. A sealed pitchblende stone (1.469 kBq) was placed inside the source chamber, while the receiver chamber collected the radon that permeated through the sample. Radon concentration in both chambers was continuously monitored using two Durridge RAD7 detectors connected in closed-loop circuits. Temperature and relative humidity were monitored throughout the experiments. Six commercially available water-based decorative paints were evaluated by applying a single coat of each paint onto a filter paper substrate. Two independent diffusion tests were performed for each paint. Each test lasted 48 hours, during which radon concentrations in the source and receiver chambers were recorded at 30-minute intervals. These raw experimental data were subsequently used to determine the radon concentration reduction and the radon diffusion coefficient following the procedure described in ISO/TS 11665-13:2017. The dataset also includes the main specifications of the experimental set-up, such as chamber characteristics, radon source activity and test area. The thickness of each coated sample was determined from eight measurements taken at different locations , from which the mean thickness and the standard deviation were calculated. The radon concentration data recorded by the RAD7 detectors at 30-minute intervals were exported. For each experiment, the dataset includes the test date and the radon concentration values measured in the source and receiver chambers throughout the 48-hour test. No additional processing, filtering or normalization was applied to the concentration data before their inclusion in the dataset. The experimental set-up specifications were compiled from the laboratory protocol used during the diffusion tests. For the thickness data, the reported mean thickness and standard deviation were calculated from eight thickness measurements taken at different locations on each coated sample.

[EN] In this study, flexible textile supercapacitors were obtained on jute fabrics. Insulating jute fibers were converted into electrically conducting using an optimized reduced graphene oxide (rGO) deposition method. Supercapacitors were made of jute fabric and polypyrrole (PPy) as conducting polymer. rGO improved the electrical behavior of PPy-jute supercapacitors obtained by chemical polymerization. These chemical PPy-jute supercapacitors presented a low surface resistivity (6 Ω/sq) suitable for subsequent electrochemical polymerization. The best results were obtained for rGO-PPy-jute supercapacitors synthesized by electrochemical polymerization, with capacitance values of 5127 mF cm-2 (117 F g-1) in a 3-electrode system; and 1770 mF cm-2, 39.9 F g-1, 250 μW h cm-2 and 1100 μW cm-2 in a 2-electrode system. It is essential to highlight that the jute supercapacitors obtained are eco-friendly, low cost, flexible and with very competitive energy-storage values compared to recent investigations., This research is part of the Spanish R + D + i contract PDC2021-121617-C22 funded by MCIN/AEI/10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR” as well as the Red E3Tech Plus: Proyecto Redes de Investigación de la AEI Network E3Tech PLUS (RED2022-134552-T) project. Funding for open access charge: CRUE-Universitat Politècnica de València. Electron Microscopy Service of Universitat Politècnica de València is gratefully acknowledged for help with FESEM microscope.

This dataset contains the experimental data generated during the evaluation of two configurations of laminated wastes, composed of polymeric and aluminium materials, as potential radon barriers for indoor spaces. It includes the raw radon concentration measurements recorded in the source and receiver chambers during 48-hour diffusion tests for each configuration, the main specifications of the experimental set-up used to perform the measurements, and the thickness of the laminated waste samples used in the study. The experimental data were used to calculate the radon concentration reduction and the radon diffusion coefficient, following a modified version of the ISO/TS 11665–13:2017 standard, as reported in the associated publication. The experimental data were generated using a two-chamber radon diffusion test following a modified version of ISO/TS 11665-13:2017. The experimental set-up consisted of two sealed AISI 316L stainless steel chambers separated by the test sample. A sealed pitchblende stone (1.469 kBq) was placed inside the source chamber, while the receiver chamber collected the radon that permeated through the sample. Radon concentration in both chambers was continuously monitored using two Durridge RAD7 detectors connected in closed-loop circuits. Temperature and relative humidity were monitored throughout the experiments. Each test lasted 48 hours, during which radon concentrations in the source and receiver chambers were recorded at 30-minute intervals. These raw experimental data were subsequently used to calculate the radon concentration reduction and the radon diffusion coefficient following the procedure described in ISO/TS 11665-13:2017. The dataset also includes the main specifications of the experimental set-up, such as chamber characteristics, radon source activity and test area. The thickness of each laminated waste sample was determined from eight measurements taken at different locations on the sample, from which the mean thickness and the standard deviation were calculated. Following the recommendations of the ISO/TS 11665-13:2017, the thickness of materials installed with an overlap is the same as that of the material unbound, provided that the length on each side of the overlap exceeds the width of the overlap by at least 2 cm. The radon concentration data recorded by the RAD7 detectors at 30-minute intervals were exported. For each experiment, the dataset includes the test date and the radon concentration values measured in the source and receiver chambers throughout the 48-hour test. No additional processing, filtering or normalization was applied to the concentration data before their inclusion in the dataset. The experimental set-up specifications were compiled from the laboratory protocol used during the diffusion tests. For the thickness data, the reported mean thickness and standard deviation were calculated from eight thickness measurements taken at different locations on each laminated waste sample.

This dataset includes the raw data collected from Ai2 ASTA, a scholarly research assistant, through its functionality "Summarize literature". Specifically, the dataset includes the reports generated to ten tailored prompts, and the metadata of the cited references embedded in the reports., Grant PID2022-142569NA-I00 funded by MCIN/AEI/10.13039/501100011033 and, by “ERDF A way of making Europe”, by the “European Union”.

Virtual learning environments are growing in importance as fast as e-learning, which is becoming highly demanded by universities and students worldwide. We have investigated how to automatically evaluate User eXperience in this domain using sentiment analysis techniques. For this purpose, the UX-comments corpus has been built with the opinions of 583 users (107 English speakers and 476 Spanish speakers) about three learning management systems in different courses. All the collected opinions were manually labeled with polarity information (P=positive, N=negative, or NEU=neutral) by three human annotators, both at the whole opinion and sentence levels. Dataset Information P NEU N Total Spanish Observations 338 53 85 476 Spanish Sentences 404 41 142 587 English Observations 56 21 30 107 English Sentences 90 14 80 184, Special thanks to the following biomedical organizations: Fundación IVI and Medigene Press S.L.; both have provided data from their Master and Posgraduate Courses through the academic stay research of Rosario Sanchis-Font, during 2017 and 2018. Many thanks to Carlos Turró-Ribalta and Ignacio Despujol-Zabala for supporting this research with data from UPV MOOCs.

Hybrid TiO2-WO3 nanostructures has been synthesized by electrochemical anodization under controlled hydrodynamic conditions followed by electrodeposition in the presence of different contents of Na2WO4 (5, 15 and 25 mM) and H2O2 (20, 30 and 40 mM). The influence of the electrolyte used for electrodeposition on the morphology, crystalline structure and photoelectrochemical response for water splitting has been evaluated through Field Emission Electronic Microscopy, High-Resolution Transmission Electron Microscopy, Confocal Raman Spectroscopy, Grazing Incidence X Ray Diffraction and photocurrent versus potential measurements.

[ES] La sostenibilidad económica y el desarrollo social de la mayoría de los países dependen, entre otros, del comportamiento fiable y duradero de sus infraestructuras. HYDELIFE aborda el reto de la sostenibilidad social y medioambiental de las estructuras a lo largo de su ciclo de vida. Para ello se propone una metodología híbrida emergente entre Deep Learning (DL) procedente de la inteligencia artificial, metamodelos y metaheurísticas de optimización multiobjetivo y técnicas de toma de decisión multicriterio. El foco se centra en el diseño robusto y resiliente aplicado a la construcción industrializada modular, tanto en edificación, como en puentes mixtos de hormigón y acero y en estructuras híbridas de acero. El gran reto será disponer de infraestructuras capaces de maximizar su beneficio social sin comprometer su sostenibilidad. Por otra parte, el envejecimiento de las infraestructuras, la mayor demanda en su desempeño o los riesgos naturales afectan al rendimiento previsto de estas infraestructuras. Si a ello añadimos la profunda crisis financiera y sanitaria que ha afectado la economía de nuestro país, el deterioro de las infraestructuras puede provocar una alarma social puntual. La hipótesis de partida es que las emergentes metaheurísticas híbridas son capaces de extraer información no trivial de las inmensas bases de datos procedentes de la optimización y mejorar la calidad y el tiempo de cálculo tanto en el diseño automático como en el mantenimiento óptimo de puentes y estructuras. Con esta propuesta metodológica se pretende abordar las incertidumbres del mundo real planteando el diseño y el mantenimiento óptimo basándose en la fiabilidad y en diseños robustos. Esta hipótesis debe extenderse a los procesos de toma de decisión multicriterio que atienda a la sostenibilidad social y ambiental del ciclo de vida completo que contemple las fluctuaciones tanto de los parámetros como de los escenarios posibles, especialmente en el caso de fuertes restricciones presupuestarias. Esta metodología presenta, no obstante, serias dificultades, por lo que se deben explorar metamodelos y DL capaces de acelerar los complejos procesos de cálculo. Además, se pretende profundizar en las técnicas de decisión multicriterio emergentes como la lógica neutrosófica y otras como las redes bayesianas. En este contexto, a pesar de que se ha avanzado en la optimización multiobjetivo de las estructuras, en el mundo real existen incertidumbres, imperfecciones o desviaciones respecto a los parámetros utilizados en los códigos. Una estructura óptima se encuentra cercana a la región de infactibilidad, por lo que es necesario incorporar las incertidumbres para proporcionar diseños más robustos y fiables. Por otra parte, la fuerte limitación presupuestaria presente en momentos de crisis compromete seriamente las políticas de creación y conservación de las infraestructuras. Los resultados esperados, tras un análisis de sensibilidad de distintas políticas presupuestarias asociadas a un horizonte temporal, pretenden detallar qué tipologías, actuaciones concretas de conservación y alternativas de demolición y reutilización son adecuadas para minimizar los impactos ambientales y sociales considerando la variabilidad. En este sentido, un aspecto importante consiste en determinar los criterios e indicadores clave para garantizar una efectiva integración de la sostenibilidad en la licitación de proyectos de obra y de mantenimiento de construcciones modulares y puentes mixtos., Los autores agradecen la financiación del proyecto PID2020-117056RB-I00 financiado por el Ministerio de Ciencia e Innovación MCIN / AEI / 10.13039 / 501100011033 y por “FEDER Una manera de hacer Europa”.