Resultados de investigación

This work was supported by Instituto Universitario Tecnológico de Asturias (IUTA), sponsored by the University of Oviedo, and the Gijón Council under the Project SV-12-GIJON-2. The following projects contributed for the financial support of the investigation: (1) “Caracterización y predicción de la generación aerodinámica de ruido en perfiles de turbinas eólicas”, DPI2011-25419, provided by the Spanish Ministry of Economy and Competitiveness; (2) “Desarrollo y construcción de turbinas eólicas de eje vertical para entornos urbanos”, ENE2017-89965-P, from the Spanish Ministry of Economy and Business.

Experimental data associated with the ORP entitled: "Design of a new turbine for OWC wave energy converters: The DDT concept" https://doi.org/10.1016/j.renene.2020.12.125 authored by Manuel Garcia-Diaz and co-authored by Bruno Pereiras, Celia Miguel-Gonzalez, Laudino Rodriguez and Jesus Fernandez-Oro, all members of FERES research group of the University of Oviedo., At data collection date, Manuel Garcia-Diaz was supported by the “Ministerio de Educación, Cultura y Deporte” within the “Formación del Profesor Universitario” Program (grant number FPU15/04375).

This dataset contains information (simulation and measurement) obtained during the design and experimental validation of circularly polarized antenna implemented in fully-woven textile technology, with capability for Simultaneous Wireless Power Transfer (WPT)., This research was funded by AGENCIA ESTATAL DE INVESTIGACIÓN-GOBIERNO DE ESPAÑA, under grants number PID2021-126301NA-I00 and EQC2019-005768-P, by GOBIERNO DEL PRINCIPADO DE ASTURIAS, under grants number IDE/2024/0007693, AYUD/2021/51706, and IDI/2021/000207, and by UNIVERSIDAD DE OVIEDO under grant number GR-2010-0015.

Contents of the deposit (ZIP): • Benchmark instances in plain text format (instances/). • Experimental results in CSV/TSV (data/results/), plus original raw exports (raw/). • Documentation for reuse (README, data dictionary, instance format specification). • Integrity information: MANIFEST.tsv with SHA-256 checksums. Relationship to publication: This dataset is the supplementary research output associated with the RUO record https://digibuo.uniovi.es/dspace/handle/10651/81709 (journal article DOI: 10.1177/10692509251353343). Reuse: The recommended citation is provided in CITATION.txt. Data are provided in open, machine-readable formats to facilitate benchmarking and reproducibility., This dataset provides benchmark instance files and experimental results for the energy-aware flexible job shop scheduling problem (EA-FJSP) addressed with a memetic algorithm. It includes: (i) a set of benchmark instances encoded as plain text files; (ii) tabular results in interoperable formats (CSV/TSV) describing solution quality metrics and algorithm settings; and (iii) documentation to enable reuse (README, data dictionary, and integrity manifest with checksums). The dataset complements the associated journal article deposited in RUO (handle: 10651/81709; DOI: 10.1177/10692509251353343) and is intended to support reproducibility, benchmarking, and comparative research in energy-aware scheduling and metaheuristic optimization., This research has been supported by the Spanish Government under research Grants TED2021-131938B-I00 and PID2022- 141746OB-I00, and by the Principality of Asturias under research Grant GRU-GIC-24-018.

The authors wish to thank the financial support of the Spanish Ministry of Economy, Industry and Competitiveness for the R + D Project entitled “Development and Construction of Vertical Axis Wind Turbines for Urban Environments” (DEVTURB) – Ref. ENE2017-89965-P, under the National Plan for Scientific and Technical Research and Innovation. The grant provided by the Principality of Asturias for the support of Research Activities, funded by the Institute for Economic Development (IDEPA) under reference GRUPIN IDI/2018/000205 is also gratefully acknowledged. Additionally, the support given by the University Institute for Industrial Technology of Asturias (IUTA) and the City Hall of Gijon, through the financed project SV-18-GIJON-1-05, is also recognized.

Data from the article "Fernandez-Lanvin, D., Gonzalez-Rodriguez, M., De-Andres, J. et al. Towards an automatic early screening system for autism spectrum disorder in toddlers based on eye-tracking. Multimed Tools Appl 83, 55319–55350 (2024). https://doi.org/10.1007/s11042-023-17694-8", This dataset includes the data gathered from the experiment described in the published paper. Data has been recorded using a Tobii Pro Spectrum with Tobii Lab Pro software. It containes the data used in the paper "Towards an automatic early screening system for autism spectrum disorder in toddlers based on eye-tracking" (https://doi.org/10.1007/S11042-023-17694-8), This work has been funded by the Government of the Principality of Asturias, with support from the European Regional Development Fund (ERDF) under project IDE/2024/000751 (GRU-GIC-24-070) and by the Fundación Trapote (Ayuntamiento de Gijón). Additional funding was provided by the University of Oviedo through its support for official research groups (PAPI-24-GR-REFLECTION).

Data from the article "A. Losada, G. Facundo, M. Garcia, F. Ortin. Mining Common Syntactic Patterns used by Java Programmers. Latin America Transactions, Volume 20(5), pp. 753-762, 2022. https://doi.org/10.1109/TLA.2022.9693559", Open source code repositories provide massive data as programs that have been used to develop different tools. These kinds of works have been included in the active Big Code and Mining Software Repositories research fields. Although different machine learning works already classify the syntactic constructs used by programmers, there are no reports about the most common syntactic patterns used by Java programmers. In this article, we describe a system we build to provide such a report. Our system retrieves the syntactic patterns used by Java programmers, distinguishing those utilized by experts and beginners. We also present the anomalies found in the usage of different syntactic constructs. We modify the OpenJDK compiler to double the syntactic information included in its Abstract Syntax Tree (AST), define a mechanism to translate ASTs into n-dimensional vectors, combine the information of different syntax constructs to build heterogeneous patterns, and apply the Frequent Pattern Growth algorithm to mine the syntactic patterns as association rules. The mined patterns allow expressing hierarchical subpatterns connected to one another, providing a high level of expressiveness., This work has been partially funded by the Spanish Department of Science, Innovation and Universities: project RTI2018-099235-B-I00. The authors have also received funds from the University of Oviedo, Spain through its support of official research groups (GR-2011-0040).

Datos sobre los que se apoya el artículo "Pobrezas laborales antes y después de la Gran Recesión (2009-2019)", Archivos de texto .log y word con anexos

Presentamos un útil protocolo en flujo para la preparación de tioéteres alquenilos a partir de bromuros alquenilos y tioles en medio básico bajo irradiación con luz visible. Las reacciones muestran una amplia tolerancia a grupos funcionales, se llevan a cabo bajo condiciones suaves, son estereoselectivas y no requieren el uso de catalizadores. Las transformaciones pueden ampliarse exitosamente a una escala de 5 mmol sin comprometer el rendimiento. La clave del éxito de estas reacciones es la excitación fotoquímica de complejos de enlace halógeno para formar radicales alquenilos y centrados en azufre, un protocolo desarrollado recientemente en nuestros laboratorios., Beca predoctoral “Severo Ochoa” concedida a H. F. P. (BP21/050) por FICYT (Principado de Asturias). Beca postdoctoral “Ramón y Cajal” concedida a M. P. (MCINN-24-RYC2022-035485-I) por el Ministerio de Ciencia e Innovación de España (Agencia Estatal de Investigación). Este trabajo está financiado por la Universidad de Oviedo (PAPI-23-GR-COM-04) y el Ministerio de Ciencia e Innovación de España (MCINN-23-PID2022-140635NB-I00 / MCIN / AEI / 10.13039/501100011033 / FEDER, UE).

The dataset contains all the Mumax3 scripts and data used for the writing of the work entitled "Nucleation of magnetic textures in stripe domain bifurcations for reconfigurable domain wall racetracks" in order to support for the repeatability of the work and further analysis., Victoria Vega Fernández acknowledges support from the Severo Ochoa Predoctoral Fellowship Program (nos. PA-22-BP21- 124). This work has been supported by Spanish MCIN/AEI/10.13039/501100011033/ FEDER,UE under grant PID2022-136784NB and by Agencia SEKUENS (Asturias) under grant UONANO IDE/2024/000678 with the support of FEDER funds.