Resultados totales (Incluyendo duplicados): 1744
Encontrada(s) 175 página(s)
Encontrada(s) 175 página(s)
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/75917
Set de datos (Dataset). 2021
DATASERIUSG
- Sánchez Castro, Susana
- Pascual Sevillano, María Ángeles|||0000-0001-6942-6198
- Fombona Cadavieco, Javier|||0000-0001-5625-5588
Esta investigación de carácter naturalista, obtiene datos del impacto de un proyecto basado en el empleo de juegos serios para la mejora de la competencia en comunicación lingüística del alumnado en situación de desventaja socieducativa
Proyecto: //
DOI: https://hdl.handle.net/10651/75917, https://dx.doi.org/10.17811/ruo_datasets.75917
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/75917
HANDLE: https://hdl.handle.net/10651/75917, https://dx.doi.org/10.17811/ruo_datasets.75917
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/75917
PMID: https://hdl.handle.net/10651/75917, https://dx.doi.org/10.17811/ruo_datasets.75917
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/75917
Ver en: https://hdl.handle.net/10651/75917, https://dx.doi.org/10.17811/ruo_datasets.75917
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/75917
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70833
Set de datos (Dataset). 2021
DATA FROM "AN EMPIRICAL EVALUATION OF LEX/YACC AND ANTLR PARSER GENERATION TOOLS"
- Ortín Soler, Francisco|||0000-0003-1199-8649
- Quiroga Álvarez, José|||0000-0002-1646-4796
- Rodríguez Prieto, Óscar|||0000-0003-2168-9962
- García Rodríguez, Miguel|||0000-0002-3150-2826
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).
Proyecto: //
DOI: https://hdl.handle.net/10651/70833, https://dx.doi.org/10.17811/ruo_datasets.70833
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70833
HANDLE: https://hdl.handle.net/10651/70833, https://dx.doi.org/10.17811/ruo_datasets.70833
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70833
PMID: https://hdl.handle.net/10651/70833, https://dx.doi.org/10.17811/ruo_datasets.70833
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70833
Ver en: https://hdl.handle.net/10651/70833, https://dx.doi.org/10.17811/ruo_datasets.70833
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70833
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80284
Set de datos (Dataset). 2021
DATA FROM "NOVEL METHODOLOGY FOR PERFORMANCE CHARACTERIZATION OF VERTICAL AXIS WIND TURBINES (VAWT) PROTOTYPES THROUGH ACTIVE DRIVING MODE"
- Fernández Oro, Jesús Manuel|||0000-0002-4270-7552
- Santamaría Bertolín, Luis|||0000-0001-8028-3837
- Argüelles Díaz, Katia María|||0000-0003-1641-637X
- Meana Fernández, Andrés|||0000-0002-1865-3814
- Pereiras García, Bruno|||0000-0002-1820-1711
- Velarde Suárez, Sandra|||0000-0002-4967-4642
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.
Proyecto: //
DOI: https://hdl.handle.net/10651/80284, https://dx.doi.org/10.17811/ruo_datasets.80284
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80284
HANDLE: https://hdl.handle.net/10651/80284, https://dx.doi.org/10.17811/ruo_datasets.80284
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80284
PMID: https://hdl.handle.net/10651/80284, https://dx.doi.org/10.17811/ruo_datasets.80284
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80284
Ver en: https://hdl.handle.net/10651/80284, https://dx.doi.org/10.17811/ruo_datasets.80284
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80284
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80347
Set de datos (Dataset). 2021
DATA FROM "ENHANCING THE ELECTROCATALYTIC ACTIVITY OF PALLADIUM NANOCLUSTER TAGS BY SELECTIVE INTRODUCTION OF GOLD ATOMS: APPLICATION FOR A WOUND INFECTION BIOMARKER DETECTION"
- Toyos Rodríguez, Celia|||0000-0003-4941-2578
- Hassan, Alaa Adawy Mohamed|||0000-0001-5517-6693
- García Alonso, Francisco Javier
- Escosura Muñiz, Alfredo de la|||0000-0002-9600-0253
Spanish Ministry of Economy and Competitiveness (MINECO), Spanish Ministry of Science and Innovation (MICINN) respectively and Asturias Regional Government.
Proyecto: //
DOI: https://hdl.handle.net/10651/80347, https://dx.doi.org/10.17811/ruo_datasets.80347
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80347
HANDLE: https://hdl.handle.net/10651/80347, https://dx.doi.org/10.17811/ruo_datasets.80347
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80347
PMID: https://hdl.handle.net/10651/80347, https://dx.doi.org/10.17811/ruo_datasets.80347
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80347
Ver en: https://hdl.handle.net/10651/80347, https://dx.doi.org/10.17811/ruo_datasets.80347
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80347
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70852
Set de datos (Dataset). 2021
DATA FROM "AN INFRASTRUCTURE TO DELIVER SYNCHRONOUS REMOTE PROGRAMMING LABS"
- García Rodríguez, Miguel|||0000-0002-3150-2826
- Ortín Soler, Francisco|||0000-0003-1199-8649
- Quiroga Álvarez, José|||0000-0002-1646-4796
Data from the article "M. Garcia, F. Ortin, J. Quiroga. An Infrastructure to Deliver Synchronous Remote Programming Labs. Transactions on Learning Technologies, Volume 14(2), pp. 161-172, 2021. https://doi.org/10.1109/TLT.2021.3063298", With the abrupt nationwide lockdown caused by the COVID-19 pandemic, many universities suspended face-to-face activities. Some of them decided to continue their academic courses, adapting traditional approaches to online learning. An important challenge was to deliver programming labs over the Internet without important methodological changes, which might imply modifications of the learning outcomes. Most of the existing approaches to remote programming labs are based on asynchronous learning, where students work autonomously and contact the lecturers if they have any issues. The existing systems to provide synchronous programming labs are restricted to a single programming language or application type, and show significant interaction limitations. Therefore, we defined an infrastructure that allowed us to deliver synchronous programming labs over the Internet during the COVID-19 lockdown, as we used to do face-to-face. After using it for both programming labs and exams, students showed a high level of satisfaction. Compared to previous years, the use of our system produced no statistically significant difference in student's grades, pass and fail rates, or the number of students taking the lab exam. The network bandwidth, CPU, and memory resources consumed are sufficiently low to have allowed all the students to use it without any issues. Regardless of the pedagogical and methodological approach selected, our infrastructure provides the synchronous and remote delivery of programming labs, similar to the original face-to-face approach. Its features make it appropriate to deliver synchronous remote classes where strong lecturer-student interaction is required, and all the student work can be done with their computers., 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).
Proyecto: //
DOI: https://hdl.handle.net/10651/70852, https://dx.doi.org/10.17811/ruo_datasets.70852
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70852
HANDLE: https://hdl.handle.net/10651/70852, https://dx.doi.org/10.17811/ruo_datasets.70852
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70852
PMID: https://hdl.handle.net/10651/70852, https://dx.doi.org/10.17811/ruo_datasets.70852
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70852
Ver en: https://hdl.handle.net/10651/70852, https://dx.doi.org/10.17811/ruo_datasets.70852
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70852
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/82649
Set de datos (Dataset). 2021
DATASET FOR "VEHICLE ROUTING PROBLEM WITH ZONE-BASED PRICING"
- Afsar, Hasan Murat
- Afsar, Sezin
- Palacios Alonso, Juan José
This dataset contains benchmark problem instances of "Vehicle Routing Problem with Zone-Based Pricing" published in Transportation Research Part E: Logistics and Transportation Review in 2021. It includes the instances in txt format along with a readme file explaining the fields., This work was supported by the Spanish Government [Grant Nos. TIN2016-79190-R, PID2019-106263RB-I00]; and the Principality of Asturias Government [Grant No. IDI/2018/000176].
Proyecto: //
DOI: https://hdl.handle.net/10651/82649, https://dx.doi.org/10.17811/ruo_datasets.82649
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/82649
HANDLE: https://hdl.handle.net/10651/82649, https://dx.doi.org/10.17811/ruo_datasets.82649
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/82649
PMID: https://hdl.handle.net/10651/82649, https://dx.doi.org/10.17811/ruo_datasets.82649
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/82649
Ver en: https://hdl.handle.net/10651/82649, https://dx.doi.org/10.17811/ruo_datasets.82649
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/82649
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/70539
Set de datos (Dataset). 2021
THE HIGHEST RELATIVE CITATION RATIOS VERSUS TOP CITED ARTICLES. A BIBLIOMETRIC ANALYSIS IN ROOT CANAL DISINFECTION
- Valderrama Baca, María Pilar
- Baca García, María Pilar
- Solana, Carmen
- Ferrer Luque, Carmen María|||0000-0002-6107-5853
3 databases associated to paper 'The highest relative citation ratios versus top cited articles. A bibliometric analysis in root canal disinfection'
Proyecto: //
DOI: http://hdl.handle.net/10481/70539, https://dx.doi.org/10.30827/Digibug.70539
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/70539
HANDLE: http://hdl.handle.net/10481/70539, https://dx.doi.org/10.30827/Digibug.70539
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/70539
PMID: http://hdl.handle.net/10481/70539, https://dx.doi.org/10.30827/Digibug.70539
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/70539
Ver en: http://hdl.handle.net/10481/70539, https://dx.doi.org/10.30827/Digibug.70539
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/70539
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/71986
Set de datos (Dataset). 2021
EFECTO DE LA MELATONINA SOBRE LA TERMOGÉNESIS MUSCULAR CA2+-DEPENDIENTE EN RATA ZDF
- Agil Abdalla, Mhmad Ahmad
Proyecto: //
DOI: http://hdl.handle.net/10481/71986, https://dx.doi.org/10.30827/Digibug.71986
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/71986
HANDLE: http://hdl.handle.net/10481/71986, https://dx.doi.org/10.30827/Digibug.71986
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/71986
PMID: http://hdl.handle.net/10481/71986, https://dx.doi.org/10.30827/Digibug.71986
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/71986
Ver en: http://hdl.handle.net/10481/71986, https://dx.doi.org/10.30827/Digibug.71986
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/71986
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/65078
Set de datos (Dataset). 2021
DATA FOR: RESILIENCE IMPACTS OF A SECONDARY DISTURBANCE: META-ANALYSIS OF SALVAGE LOGGING EFFECTS ON TREE REGENERATION
- Leverkus, Alexandro B.|||0000-0001-5452-3614
- Polo, Inés
- Baudoux, Claire
- Thorn, Simon
- Gustafsson, Lena
- Rubio de Casas, Rafael Francisco|||0000-0003-4276-4968
Data used for meta-analysis of salvage logging effects on woody plant regeneration. point.id= unique identification number for each data point site.id= unique identification number for each publication (see references in attached file). country= Country where the study site was located .disturbance.type, disturbance.severity, time.disturbance.logging, time.logging.measurement, logging.intensity, forest.leaf.habit, forest.age, regeneration.syndrome, aridity = the effect moderators described in Supporting Information S1 of the paper. response= response variable. yi, vi= mean and variance of Hedge's d (effect sizes). data.origin= position in the publication where the data were obtained (or directly from author)., Funded by grants:
RTI2018-096187-J-100 from FEDER/ Ministerio de Ciencia, Innovación y Universidades
LRB20/1002 from the British Ecological Society
Research Fellowship from the Alexander von Humboldt Foundation
Proyecto: //
DOI: http://hdl.handle.net/10481/65078, https://dx.doi.org/10.30827/Digibug.65078
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/65078
HANDLE: http://hdl.handle.net/10481/65078, https://dx.doi.org/10.30827/Digibug.65078
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/65078
PMID: http://hdl.handle.net/10481/65078, https://dx.doi.org/10.30827/Digibug.65078
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/65078
Ver en: http://hdl.handle.net/10481/65078, https://dx.doi.org/10.30827/Digibug.65078
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/65078
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/66677
Set de datos (Dataset). 2021
EXAMPLE PUSH BEHAVIOR
PUSH BEHAVIOR EXAMPLE
- Morón Henche, Ignacio|||0000-0002-1387-5602
Push behavior example
Proyecto: //
DOI: http://hdl.handle.net/10481/66677
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/66677
HANDLE: http://hdl.handle.net/10481/66677
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/66677
PMID: http://hdl.handle.net/10481/66677
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/66677
Ver en: http://hdl.handle.net/10481/66677
Digibug. Repositorio Institucional de la Universidad de Granada
oai:digibug.ugr.es:10481/66677
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