Resultados de investigación

Fishmeal (FM) reduction can improve shrimp feed sustainability, but low FM formulations remain insufficiently validated across production stages, scales, and post-harvest quality traits. This study evaluated alternative protein strategies for Penaeus vannamei reared under super-intensive biofloc technology (BFT) at different production scales. In a medium-scale grow-out trial, a Control diet containing 15% FM was compared with diets containing 7.5% FM using animal-derived proteins (A7.5) or combined animal- and plant-derived proteins (AP7.5). AP7.5 maintained growth and apparent feed conversion comparable to those of the Control diet, whereas A7.5 showed poorer performance. Post-harvest quality was assessed in commercial-size shrimp during refrigerated storage without antimelanosis treatment. Sensory differences were limited shortly after harvest but became more evident during storage, with AP7.5 maintaining a comparatively stable sensory profile and showing lower panel-assessed melanosis after seven days. Subsequently, the AP7.5 diet was validated against the Control in a pilot large-scale trial covering the juvenile and grow-out phases, maintaining comparable growth, economic conversion ratio, and profitability index. Sensitivity analysis further showed that its relative economic performance was maintained across simulated FM and shrimp price scenarios and became more favorable as FM prices increased. In conclusion, the consistent productive and economic performance of AP7.5 across production stages and scales, together with maintained sensory quality and lower panel-assessed melanosis, supports its potential as a scalable low-FM strategy for BFT shrimp production., This work was supported by the I+D+i Research Project “Optimizing Shrimp Feeding and Nutrition in Biofloc Systems (BioFlango)” (PID2020-114574RB-C21) and by a predoctoral Research Personnel Training Grant awarded to S. Ferrando-Juan (PRE2021-098367), both funded by MCIN/AEI/10.13039/501100011033. Additionally, J. Gomez-Aguilera’s contract was supported by the European Union Next-Generation Plan of Conselleria d’Innovació, Universitats, Ciència i Societat Digital of Generalitat Valenciana (INVEST/2022/434).

This dataset contains the experimental data generated during the evaluation of different materials as potential barriers against radon released from phosphogypsum. It includes the raw radon concentration measurements recorded in the source and receiver chambers during 148.5-hour tests, the main specifications of the experimental set-up used to perform the measurements, and the thickness measurements of the tested materials. The experimental data were used to determine the radon concentration reduction achieved by each material, as reported in the associated conference proceedings paper. The experimental data were generated using a two-chamber experimental set-up designed in accordance with ISO/TS 11665-13:2017 to evaluate the effectiveness of different materials as barriers against radon released from phosphogypsum. It consisted of two sealed AISI 316L stainless steel chambers (2 mm thickness, 0.801 L volume and 78.5 cm² test area) separated by the test sample. Phosphogypsum with an activity of 2.29 Bq 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. Ten different materials were evaluated. Each test lasted 148.5 hours, during which radon concentrations in the source and receiver chambers were recorded at 1.5 hour intervals. These raw experimental data were used to determine the percentage reduction in radon concentration achieved by each material. The radon concentration data recorded by the RAD7 detectors at 1.5 hour 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 148.5 hour test. No additional processing was applied to the concentration data. The experimental set-up specifications were compiled. For the thickness data, the reported mean thickness and standard deviation were calculated from eight thickness measurements taken at different locations on each material. The dataset also includes the main specifications of the experimental set-up, such as chamber characteristics, phosphogypsum activity and test area. The thickness of each material was determined from eight measurements taken at different locations, from which the mean thickness and the standard deviation were calculated.

This dataset includes the results of the analysis of four marketplace apps (Aliexpress, Amazon, Shein, Zalando) and four learning apps (Busuu, Duolingo, Impulse, Mimo) using the tool Analysis System of Time in Applications (SATime). During the evaluation, three analysts applied the system obtaining the raw scores. Afterwards, the authors of the paper computed the final scoring. Documents included in this dataset: (1) results obtained by three analysts and the final score calculated by the authors of the article, (2) data sheet used as a method for analysis, (3) details and guidance on the parameters analyzed. This dataset includes the results of the analysis of four marketplace apps (Aliexpress, Amazon, Shein, Zalando) and four learning apps (Busuu, Duolingo, Impulse, Mimo) using the tool Analysis System of Time in Applications (SATime). Documents included: (1) results obtained by three analysts and the final scoring computed by authors of the paper, (2) data sheet used for the analysis, (3) details and guidance of the elements analysed.

[EN] This dataset includes, as supplementary material, the detailed calculations and expert questionnaires required to carry out the prioritization of Ecosystem Services in three wetlands in Spain, aggregating expert opinions and using the Analytic Network Process (ANP) method.

This dataset contains the experimental data generated during the evaluation of commercial wallpapers composed of different layers of polymeric and cellulosic materials as potential radon barriers for indoor spaces. It includes the raw radon concentration measurements for a single layer, double layer and double layer with aluminium configuration recorded in the source and receiver chambers during 48-hour diffusion tests, 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 wallpaper sample was determined from eight measurements taken at different locations on the sample, 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 laminated waste sample.

Cocoa roasting triggers coupled thermal reactions that shape bioactive composition and promote neoformed contaminants (NFCs), but frameworks linking precursor dynamics and bioactivity remain limited. Here, multivariate relationships among Maillard precursors, physicochemical variables, bioactive descriptors and NFCs were evaluated during cocoa roasting at 110–130º C across six roast progression (RP) stages. RP was the main driver of chemical change: sucrose decreased by >95%, while glucose and fructose peaked at RP1-RP2 (up to ~2500 mg/ g) before declining, alongside a decrease in asparagine to ~0.1–0.2 mg/g. NFCs peaked at intermediate stages and then decreased with advanced roasting (40–95%), as did phenols, antioxidant activity (60–85%) and methylxanthines (~90%). Pareto-PCA revealed a safety-bioactivity trade-off, identifying RP3-RP4 as relevant window. Partial Least Squares Regression showed that furfuryl alcohol (R (R 2 2 2 =0.83) and 5-hydroxymethylfurfural = 0.82) were well explained by information on precursors, physicochemical properties and bioactive compounds, while acrylamide (R = 0.34) remained poorly predictable.

El presente archivo presenta la compilación de los resultados del entrenamiento de los modelos MLP, Catboost y SVR para la caracterización del fenomeno de la cavitación en valvulas hidráulicas.

An electrochemical and photoelectrochemical characterization of WO3 nanostructures has been performed by means of Electrochemical Impedance Spectroscopy and Mott–Schottky measurements, as well as using cyclic voltammetry and Photocurrent density curves.

This dataset is about the experimental results obtained and published in the article by the authors I. Patrao, E. Tor n, R. Gonz lez-Medina, M. Liberos, E. Figueres and G. Garcer , "DC-Bus Signaling Control Laws for the Operation of DC-Microgrids With Renewable Power Sources," in IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol. 5, no. 3, pp. 1120-1131, July 2024, doi: 10.1109/JESTIE.2023.3345797. The behaviour of the different agents in a microgrid is managed by using the voltage at each node of the microgrid as the DBS signal. The technique proposed in this paper uses an improved DBS technique to coordinate interlinking converters, photovoltaic generators, Energy Storage Systems and loads in a microgrid. The DBS technique proposed in this paper is adapted to integrate renewable power sources in the microgrid. The DBS-controlled Energy Storage Systems (ESS) will store the surplus energy if the generated power exceeds consumption. In the case of fully charged ESS, the renewable generators will limit their output power to those demanded by the loads. The proposed control laws have been tested in an experimental microgrid.

ZnO nanowires with high aspect ratio were obtained by fast and simple electrochemical anodization. Morphological and photoelectrochemical characteristics of the synthesized ZnO nanowires were evaluated by using different techniques: high resolution transmission electron microscopy, X-ray photoelectron spectroscopy, UV–VIS spectroscopy and Mott-Schottky analysis.