BUSCADOR RECOLECTA

This work was conducted to establish the efficiency of an impressed current cathodic protection system for musical instruments’ steel strings in protecting them from corrosion caused by human sweat. To conduct this research, the harmonic content degradation of a guitar string subjected to different corrosion stages by artificial human sweat, with and without cathodic protection by an impressed current, was studied. String corrosion is characterised by not only the electrochemical technique of polarisation resistance, but also by weight loss by gravimetric measurements and FESEM microscopy. From the correlation between the acoustic and electrochemical results, it can be concluded that harmonic content degradation of guitar strings increases corrosion but is less significant in the strings protected by impressed current., Funding for Open Access charge: CRUE-Universitat Politècnica de València is acknowledged.

Background and Objective: Assessment of drug cardiotoxicity is critical in the development of new compounds and modeling of drug-binding dynamics to hERG can improve early cardiotoxicity assessment. We previously developed a methodology to generate Markovian models reproducing preferential state-dependent binding properties, trapping dynamics and the onset of IKr block using simple voltage clamp protocols. Here, we test this methodology with real IKr blockers and investigate the impact of drug dynamics on action potential prolongation. Methods: Experiments were performed on HEK cells stably transfected with hERG and using the Nanion SyncroPatch 384i. Three protocols, P-80, P0 and P40, were applied to obtain the experimental data from the drugs and the Markovian models were generated using our pipeline. The corresponding static models were also generated and a modified version of the O´Hara-Rudy action potential model was used to simulate the action potential duration. Results: The experimental Hill plots and the onset of IKr block of ten compounds were obtained using our voltage clamp protocols and the models generated successfully mimicked these experimental data, unlike the CiPA dynamic models. Marked differences in APD prolongation were observed when drug effects were simulated using the dynamic models and the static models. Conclusions: These new dynamic models of ten well-known IKr blockers constitute a validation of our methodology to model dynamic drug–hERG channel interactions and highlight the importance of state-dependent binding, trapping dynamics and the time-course of IKr block to assess drug effects even at the steady-state.

The dataset contains the data that have been used to synthesize and characterize different types of nanostructures (WO3, WO3-Mo, TiO2, and TiO2-ZnO) for a comparison of hybrid and pure nanostructures to use them as a photoanodes for photoelectrocatalytic degradation of emerging contaminants. A structural and compositional characterization was performed using Raman confocal laser spectroscopy and X-Ray Diffraction (XRD). Photoelectrochemical characterization of nanostructures was performed by Photoelectrochemical Impedance Spectroscopy (PEIS), Mott-Schottky (M-S), and Water Splitting (WS) tests. Finally, the photoelectrocatalytic degradation of the pesticide Imazalil was carried out with the best optimized nanostructure (TiO2-ZnO).

This research study investigates the electrooxidation of naproxen (NPX), an anti-inflammatory pharmaceutical, on modified carbon paper (CP) electrodes. Electrochemical modification of CP electrodes was accomplished with Pt or reduced graphene oxide (RGO)-Pt coatings, resulting in the production of electroactive electrodes. RGO coatings synthesized by cyclic voltammetry (CV) for 10 scans provided the optimal coverage for the CP electrode surface. The deposition of Pt nanoparticles (Pt NPs) on the electrodes (CP or CP-RGO) by CV produced a good electrode surface coverage with 20 synthesis scans. The voltammetric analysis of the electrodes in 230 mg/L NPX solution showed oxidation peaks around 1.0 to 1.2 V. Moreover, the inclusion of RGO in the coating led to an increase in the current density of these oxidation peaks and a decrease of the electrode electron transfer resistance as measured by electrochemical impedance spectroscopy. The electrolysis of NPX in different electrolytes (Na2SO4 and Na2SO4/NaCl) was conducted at 1.4 V, and the removal of NPX was analyzed using high-performance liquid chromatography. The CP-RGO-Pt electrode in Na2SO4/NaCl media showed the fastest NPX degradation kinetics, resulting in a 90 % degradation in only 90 min with low charge consumption (0.07 A⋅h⋅L-1). The smaller size of Pt NPs deposited on CP-RGO, as observed by field emission scanning electron microscopy and transmission electron microscopy, contributed to the higher electrochemical response in CV and a faster kinetic degradation of NPX., This research is part of the Spanish R + D + i contract TED2021-130905B-I00 funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR as well as the Red E3Tech Plus: Proyecto Redes de Investigaci´on de la AEI Network E3Tech PLUS (RED2022-134552-T) project. Funding for open access charge: CRUE Universitat Polit`ecnica de Val`encia. The Electron Microscopy Service of the UPV (Universitat Polit`ecnica de Val`encia) is gratefully acknowledged for help with FESEM and EDX characterization.

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.

Concerns about the health of the planet have grown dramatically, and the dyeing sector of the textile industry is one of the most polluting of all industries. Nanoclays can clean dyeing wastewater using their adsorption capacities. In this study, as a new finding, it was possible to analyze and quantify the amount of metal ions substituted by anionic dyes when adsorbed, and to determine the optimal amount of nanoclay to be used to adsorb all the dye. The tests demonstrated the specific amount of nanoclay that must be used and how to optimize the subsequent processes of separation and processing of the nanoclay. Hydrotalcite was used as the adsorbent material. Direct dyes were used in this research. X-ray diffraction (XRD) patterns allowed the shape recovery of the hydrotalcite to be checked and confirmed the adsorption of the dyes. An FTIR analysis was used to check the presence of characteristic groups of the dyes in the resulting hybrids. The thermo-gravimetric (TGA) tests corroborated the dye adsorption and the thermal fastness improvement. Total solar reflectance (TSR) showed increased radiation protection for UV-VIS-NIR. Through the work carried out, it has been possible to establish the maximum adsorption point of hydrotalcite.

The dataset contains the data that have been obtained during the calculation of the equilibrium conditions used for the construction of the Pourbaix diagrams for iron-chromium alloys in the absence of and in the presence of lithium bromide (LiBr)/water (H2O) solutions with high concentrations (400-992 g/L) to simulate the aggressive conditions in the LiBr absorption machines. Equilibrium conditions for electrochemical and chemical reactions are calculated. The activity values of aqueous species considered are 10^–6, 10^–4, 10^–2 and 10^0. The bromide ion activities are 15.61, 194.77, 650.06 and 2042.65 and the water activities are 0.715, 0.358, 0.216 and 0.118, corresponding respectively to LiBr/H2O concentrations of 400, 700, 850 and 992 g/L at 25 ºC.

This dataset includes supplementary material (code, raw data) created and collected to support a study on the visibility of Spanish Institutional Repositories on Google Search results.

[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”.

Datos de investigación: Aplicación del método Delphi para consulta a expertos sobre la idoneidad de los indicadores seleccionados para la elaboración del modelo HVCRA (Hazards, Vulnerability, Capacity and Risk Assesment) aplicado a los Servicios Sociales andaluces. Datos primarios asociados al artículo enviado a SAGE Open, The pandemic caused by covid-19 has revealed an enormous vulnerability in health, economic and social terms. We are facing a new unprecedented environmental and socioeconomic reality, which poses a challenge for risk control and management. This forces a methodological effort to be made in all areas in the creation of models for the prevention and prediction of existing impacts, risks, and potential threats. In Social Services’ field, we propose a tool that will allow, on the one hand, to measure the impact of COVID-19 on the Social Services system and, on the other hand, to evaluate the areas with the highest socioeconomic risk in the post-COVID scenario. The modified Delphi technique has been used to reach a consensus on a proposal of 37 indicators with a group of experts, which in the final phase resulted in 34. To our knowledge, this represents the first risk assessment tool in social services designed specifically for use at local level. The proposed tool can help determine the situation of municipal social services in relation to risk, assessing weaknesses and improving the capacity of the system., Este trabajo está financiado por el programa de ayudas a la I+D+i, en régimen de concurrencia competitiva, en el ámbito del plan andaluz de investigación, desarrollo e innovación (PAIDI 2020), dentro del proyecto de investigación “Riesgo e impacto de la covid-19 en el sistema de servicios sociales de Andalucía. IRIS”. Riesgo e impacto de la covid-19 en el sistema de servicios sociales de Andalucía. IRIS”. PAIDI 2020