Resultados de investigación

This work was supported by the Ministerio de Econom a e Industria under Grant (R&D projects PID2019-105726RB-I00)

Data from the article "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326", Parsers are used in different software development scenarios such as compiler construction, data format processing, machine-level translation, and natural language processing. Due to the widespread usage of parsers, there exist different tools aimed at automizing their generation. Two of the most common parser generation tools are the classic Lex/Yacc and ANTLR. Even though ANTLR provides more advanced features, Lex/Yacc is still the preferred choice in many university courses. There exist different qualitative comparisons of the features provided by both approaches, but no study evaluates empirical features such as language implementor productivity and tool simplicity, intuitiveness, and maintainability. In this article, we present such an empirical study by conducting an experiment with undergraduate students of a Software Engineering degree. Two random groups of students implement the same language using a different parser generator, and we statistically compare their performance with different measures. Under the context of the academic study conducted, ANTLR has shown significant differences for most of the empirical features measured., 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 through its support of official research groups (GR-2011-0040).

Data of manuscript "1‑Methylnaphthalene Hydrogenation over Supported Precious Metal Catalysts: A Kinetic Study for Deciphering the Roles of the Metal and Support", Ind. Eng. Chem. Res. 2025, 64, 9640−9649 , https://doi.org/10.1021/acs.iecr.5c00989, Spanish Ministry of Science, Innovation and Universities

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.

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.

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).

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.