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RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
Set de datos (Dataset). 2025

DATASET FOR HEURISTIC-BASED INCREMENTAL LOCAL DOMAIN MODEL GENERATION

HEURISTICS LDM DATASET

  • Quintela Pumares, Manuel
  • Fernández Lanvin, Daniel
  • Fernández Álvarez, Alberto Manuel|||0000-0002-8548-5830
Dataset used in the evaluation of the paper "Heuristic-Based Incremental Local Domain Model Generation", currently under review in "Information and Software Technology". Context: Current front-end frameworks and technologies enable rich clients to operate autonomously without frequent server requests. To achieve this autonomy, clients must maintain a Local Domain Model (LDM), often derived from the Global Domain Model (GDM) on the backend. Manually designing an LDM that is consistent with the GDM requires handling nuanced dependencies, an error-prone task where oversight is easy. Objective: To address these challenges we aim to: (a) formally map dependencies between GDM and LDM; (b) analyze effort and errors when modelling without assistance; and (c) provide a semi-automated method leveraging these dependencies to significantly reduce both effort and errors. Method: To achieve these objectives, we propose a heuristic-based, step-by-step guided method. This approach leverages pre-existing GDM information to incrementally uncover dependencies and automate LDM construction as designers identify local behavior of GDM elements. We assessed this method's impact through an empirical experiment where we aimed to identify common mistakes and quantify effort during LDM construction. Expert UML modelers completed an LDM creation task both manually and with our tool-supported method. We recorded errors and cognitive effort to establish a baseline and measure impact. User perceptions were gathered via a survey; an analytical usability study based on GOMS complemented findings. Results: The proportion of users committing errors decreased by 77.8% with the tool, and the average error count per user was reduced by 97.3%. Time to complete the task decreased by 35.0% and interactive effort by 44.6%, consistent with GOMS predictions. Surveys showed majority positive responses across all items. Conclusions: Our approach effectively streamlines Local Domain Model creation. By automatically detecting dependencies and guiding designers, the tool drastically reduces error rates, cuts completion time, and lowers interaction volume. Expert users rated the method positively, affirming that benefits of guided, incremental LDM construction outweigh adoption effort., 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). Additional funding was provided by the University of Oviedo through its support for official research groups (PAPI-24-GR-REFLECTION).

Proyecto: //
DOI: https://hdl.handle.net/10651/79210, https://dx.doi.org/10.17811/ruo_datasets.79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
HANDLE: https://hdl.handle.net/10651/79210, https://dx.doi.org/10.17811/ruo_datasets.79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
PMID: https://hdl.handle.net/10651/79210, https://dx.doi.org/10.17811/ruo_datasets.79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
Ver en: https://hdl.handle.net/10651/79210, https://dx.doi.org/10.17811/ruo_datasets.79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
Set de datos (Dataset). 2022

CODE AND DATA OF THE ARTICLE IMPROVING IMPORTANCE ESTIMATION IN COVARIATE SHIFT FOR PROVIDING ACCURATE PREDICTION ERROR

  • Fernández Díaz, Laura
  • González Tomillo, Sara
  • Montañés Roces, Elena|||0000-0003-0609-8945
  • Quevedo Pérez, José Ramón|||0000-0001-7211-4312
This repository contains the code and data related to the article: Improving importance estimation in covariate shift for providing accurate prediction error. https://doi.org/10.1016/j.eswa.2021.116376

Proyecto: //
DOI: http://hdl.handle.net/10651/66211, https://dx.doi.org/10.17811/ruo_datasets.66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
HANDLE: http://hdl.handle.net/10651/66211, https://dx.doi.org/10.17811/ruo_datasets.66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
PMID: http://hdl.handle.net/10651/66211, https://dx.doi.org/10.17811/ruo_datasets.66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
Ver en: http://hdl.handle.net/10651/66211, https://dx.doi.org/10.17811/ruo_datasets.66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
Set de datos (Dataset). 2024

DATASET: ARE THERE GENDER DIFFERENCES BETWEEN SKILLS AND JOB PERFORMANCE IN PUBLIC MANAGEMENT POSITIONS?

  • Castaño Pérez, Ana María|||0000-0003-1659-7625
  • Zuazua Vega, Mónica|||0000-0002-4822-6952
  • Stone, Dianna L.
  • García Izquierdo, Antonio León
Este trabajo ha sido financiado por el Ministerio de Economía y Competitividad y los Fondos Sociales Europeos (ref. PSI-2013-44854R), la Cátedra Asturias Prevención (ref. CATI-04-2018), las Ayudas para grupos de investigación de organismos del Principado de Asturias 2021-2023 -Fundación para la investigación científica y técnica FICYT- (ref. -SV-PA-21-AYUD/2021/50897), y la Agencia Estatal de Investigación -Mº. ECON. IND, MCIN/AEI/10.13039/501100011033- (ref. MCINN-22-TED2021-129283B-I00 -Digital citizenship: administrative implications-).

Proyecto: //
DOI: https://hdl.handle.net/10651/73747, https://dx.doi.org/10.17811/ruo_datasets.73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
HANDLE: https://hdl.handle.net/10651/73747, https://dx.doi.org/10.17811/ruo_datasets.73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
PMID: https://hdl.handle.net/10651/73747, https://dx.doi.org/10.17811/ruo_datasets.73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
Ver en: https://hdl.handle.net/10651/73747, https://dx.doi.org/10.17811/ruo_datasets.73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/84179
Set de datos (Dataset). 2026

DATA AND R CODE FOR THE PAPER “HYPOTHESIS TESTING FOR TWO OR MORE INDEPENDENT CRONBACH'S Α COEFFICIENTS WITH INTERVAL-VALUED DATA”

  • García García, José|||0000-0003-0991-1866
  • Lubiano Gómez, María Asunción|||0000-0002-9847-5164
This dataset contains the R source code together with real-life and simulated data associated with the research paper “García-García, J., Lubiano, M.A. Hypothesis testing for two or more independent Cronbach's α coefficients with interval-valued data”, This research has been partially supported by Project PID2019-104486GB-I00 from the Spanish Ministry of Economy, Industry and Competitiveness; Project PID2024-156458NA-I00 funded by the Spanish Ministry of Science, Innovation and Universities, the Spanish State Research Agency, and the European Regional Development Fund (MCIU/AEI/10.13039/501100011033/FEDER, UE); Project SV-PA-21-AYUD/2021/50897 and Severo Ochoa Grant PA-23-BP22-173 (García-García) from the Principality of Asturias; and Contract FUO-22-375 funded by ArcelorMittal Innovación, Investigación e Inversión S.L.

Proyecto: //
DOI: https://hdl.handle.net/10651/84179, https://dx.doi.org/10.17811/ruo_datasets.84179
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/84179
HANDLE: https://hdl.handle.net/10651/84179, https://dx.doi.org/10.17811/ruo_datasets.84179
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/84179
PMID: https://hdl.handle.net/10651/84179, https://dx.doi.org/10.17811/ruo_datasets.84179
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/84179
Ver en: https://hdl.handle.net/10651/84179, https://dx.doi.org/10.17811/ruo_datasets.84179
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/84179

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
Set de datos (Dataset). 2019

DATA FROM "EFFICIENCY ANALYSIS OF UNDERGROUND PUMPED STORAGE HYDROPOWER PLANTS"

  • Menéndez, Javier
  • Fernández Oro, Jesús Manuel|||0000-0002-4270-7552
  • Galdo Vega, Mónica|||0000-0002-7582-6734
  • Loredo Pérez, Jorge Luis|||0000-0001-5381-7100

Proyecto: //
DOI: https://hdl.handle.net/10651/80053, https://dx.doi.org/10.17811/ruo_datasets.80053
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
HANDLE: https://hdl.handle.net/10651/80053, https://dx.doi.org/10.17811/ruo_datasets.80053
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
PMID: https://hdl.handle.net/10651/80053, https://dx.doi.org/10.17811/ruo_datasets.80053
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
Ver en: https://hdl.handle.net/10651/80053, https://dx.doi.org/10.17811/ruo_datasets.80053
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
Set de datos (Dataset). 2022

DATA DOCUMENTATION FOR: PHOTOCHEMICAL HALOGEN-BONDING ASSISTED GENERATION OF VINYL AND SULFUR-CENTERED RADICALS: STEREOSELECTIVE CATALYST-FREE C(SP2)–S BOND FORMING REACTIONS

  • Fernández Piedra, Helena|||0000-0001-9092-9515
  • Plaza Martinez, Manuel|||0000-0002-5058-5321
La combinación de la fotoquímica con las interacciones de enlace halógeno ha emergido en los últimos años como una herramienta sintética poderosa para la generación de intermedios radicalarios bajo condiciones suaves. En la formación de radicales centrados en carbono, esta reactividad se ha limitado hasta ahora al uso de haluros arílicos y alquílicos como precursores. Ahora planteamos que la formación iniciada por enlace halógeno de radicales vinílicos altamente reactivos sería un proceso viable para el acoplamiento cruzado fotoquímico entre tioles y haluros alquenilos en condiciones básicas. De hecho, la reacción muestra una tolerancia muy amplia a grupos funcionales, es estereoselectiva, sencilla y escalable. Estudios mecanísticos detallados indican la formación de radicales vinílicos y centrados en azufre como los intermedios de la reacción, y cálculos DFT respaldan la preformación de un complejo de enlace halógeno como el iniciador de la transformación fotoquímica. Se desarrollaron aplicaciones sintéticas para ampliar la utilidad de esta metodología., Se agradece sinceramente el apoyo financiero a este trabajo mediante una beca postdoctoral “Margarita Salas Joven” de FICYT (Principado de Asturias) concedida a M. P. (AYUD/2021/58397).

Proyecto: //
DOI: https://hdl.handle.net/10651/79016, https://dx.doi.org/10.17811/ruo_datasets.79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
HANDLE: https://hdl.handle.net/10651/79016, https://dx.doi.org/10.17811/ruo_datasets.79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
PMID: https://hdl.handle.net/10651/79016, https://dx.doi.org/10.17811/ruo_datasets.79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
Ver en: https://hdl.handle.net/10651/79016, https://dx.doi.org/10.17811/ruo_datasets.79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70920
Set de datos (Dataset). 2023

DATA FROM RESEARCH PAPER "A FAST MAGNETIC VECTOR CHARACTERIZATION METHOD FOR QUASI TWO‑DIMENSIONAL SYSTEMS AND HETEROSTRUCTURES"

  • Herguedas-Alonso, Alicia Estela|||0000-0002-6094-720X
  • Aballe, Lucia
  • Fullerton, John
  • Vélez, María|||0000-0002-6077-9680
  • Martín Carbajo, José Ignacio|||0000-0003-2256-0909
  • Sorrentino, Andrea
  • Pereiro, Eva
  • Ferrer, Salvador
  • Quirós, Carlos
  • Hierro-Rodriguez, Aurelio|||0000-0001-6600-7801
Datasets associated with the scientific paper "A fast magnetic vector characterization method for quasi two‑dimensional systems and heterostructures" published in Sci.Rep. 13, 9639 (2023)

Proyecto: //
DOI: https://hdl.handle.net/10651/70920, https://dx.doi.org/10.17811/ruo_datasets.70920
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70920
HANDLE: https://hdl.handle.net/10651/70920, https://dx.doi.org/10.17811/ruo_datasets.70920
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70920
PMID: https://hdl.handle.net/10651/70920, https://dx.doi.org/10.17811/ruo_datasets.70920
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70920
Ver en: https://hdl.handle.net/10651/70920, https://dx.doi.org/10.17811/ruo_datasets.70920
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70920

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/83993
Set de datos (Dataset). 2026

MODAL DATA OF A SYMMETRIC STEEL CANTILEVER BEAM EXAMPLE

  • García Fernández, Natalia|||0000-0003-4870-7710
  • Fernández Fernández, Pelayo|||0000-0001-7915-9513
  • Aenlle López, Manuel|||0000-0002-7538-2758
--------------------------MATLAB DATA DESCRIPTION------------------------ List of variables: 'F_FEM_Unperturbed': Natural frequencies of the unperturbed finite element model. 'F_EXP_Unperturbed': Experimental natural frequencies of the unperturbed structure. 'F_EXP_Perturbed': Experimental natural frequencies of the perturbed structure. 'M_FEM_Unperturbed': Modal matrix (mass-normalized) of the unperturbed finite element model. 'M_EXP_Unperturbed': Experimental modal matrix of the unperturbed structure. 'M_EXP_Perturbed': Experimental modal matrix of the perturbed structure. Notes Frequencies are given in Hz. In the modal matrices, each row corresponds to one measured degree of freedom, and each column corresponds to one mode shape. The dataset includes the first six modes of each model., This dataset contains the modal data corresponding to a symmetric steel cantilever beam with repeated bending modes. The dataset includes modal parameters, namely natural frequencies [Hz] and mode shapes, for the following models: - Experimental unperturbed model. - Numerical unperturbed model, developed in ABAQUS. - The experimental perturbed model. The perturbation was introduced by fully filling the upper 0.6 m part of the structure with sand. The added mass was 1.06 kg, corresponding to approximately 9.22% of the total mass of the system. The experimental modal parameters were obtained through Operational Modal Analysis (OMA). The responses were measured at 12 points and the modal parameters were estimated using the Stochastic Subspace Identification (SSI) method.

Proyecto: //
DOI: https://hdl.handle.net/10651/83993, https://dx.doi.org/10.17811/ruo_datasets.83993
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/83993
HANDLE: https://hdl.handle.net/10651/83993, https://dx.doi.org/10.17811/ruo_datasets.83993
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/83993
PMID: https://hdl.handle.net/10651/83993, https://dx.doi.org/10.17811/ruo_datasets.83993
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/83993
Ver en: https://hdl.handle.net/10651/83993, https://dx.doi.org/10.17811/ruo_datasets.83993
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/83993

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81563
Set de datos (Dataset). 2025

DATABASE_HEMO-BLOOD PROJECT

  • Villalón González, Mar
  • Cuesta Barriuso, Rubén
  • Pérez Llanes, Raúl
  • Donoso Úbeda, Elena
  • López Pina, José Antonio
Introduction. Hemophilic knee arthropathy leads to a reduction in muscle mass and strength. Blood flow restriction (BFR) involves the application of a compressive cuff that enables strength training with reduced loads. Objective. To evaluate safety as the primary outcome and the efficacy (muscle strength and activation, functional capacity, and quality of life) as secondary outcomes of a quadriceps strengthening programme using blood flow restriction in patients with haemophilia. Methods. A randomized clinical trial was conducted with 33 participants assigned to either an experimental group (strength training with BFR) or a control group. The four-week intervention included three weekly sessions and two strength exercises (leg extension and squat). Outcomes assessed were safety (clinical hemarthrosis), strength (dynamometry), muscle activation (surface electromyography), pain threshold (pressure algometry), range of motion (goniometry), functional capacity (Timed Up and Go), and quality of life (36-Item Short Form Survey). Follow-up assessments were performed four weeks post-intervention to evaluate effect persistence. Results. Thirty participants completed the study. No participants experienced clinical hemarthrosis or hematomas during the intervention, confirming safety as the primary outcome. Additionally, blood flow restriction training produced significant gains in quadriceps strength (p<0.001;η²p=0.19) and activation (p<0.001; η²p=0.28). Further improvements (p<0.05) were observed in pain threshold, knee range of motion, and the physical component of quality of life. Conclusions. Blood flow restriction strength training is safe for patients with hemophilia. It may enhance quadriceps strength and activation, raise pain thresholds, and improve knee mobility. Patients show better physical functioning, less bodily pain, and improved physical quality of life., This work has received financial support from Swedish Orphan Biovitrum S.L. (medical grant: HCC-14177). The funders played no role in the design, conduct, or reporting of this study

Proyecto: //
DOI: https://hdl.handle.net/10651/81563, https://dx.doi.org/10.17811/ruo_datasets.81563
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81563
HANDLE: https://hdl.handle.net/10651/81563, https://dx.doi.org/10.17811/ruo_datasets.81563
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81563
PMID: https://hdl.handle.net/10651/81563, https://dx.doi.org/10.17811/ruo_datasets.81563
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81563
Ver en: https://hdl.handle.net/10651/81563, https://dx.doi.org/10.17811/ruo_datasets.81563
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81563

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72588
Set de datos (Dataset). 2024

DATOS ASOCIADOS AL ARTÍCULO. CALVO GONZÁLEZ, SORAYA &AMP; TRUJILLO BARBADILLO, GRACIA. (2024). DISCURSOS CONTRARIOS A LA EDUCACIÓN SEXUAL EN ESPAÑA: ARGUMENTARIO MEDIÁTICO Y AGENTES DE REFERENCIA EN TWITTER (X). ICONO 14. REVISTA CIENTÍFICA DE COMUNICACIÓN Y TECNOLOGÍAS EMERGENTES, 22(1): E2086. HTTPS://DOI.ORG/10.7195/RI14.V22I1.2086

  • Calvo González, Soraya
  • Trujillo Barbadillo, Gracia
Datos relativos a la publicación: Calvo González, Soraya & Trujillo Barbadillo, Gracia. (2024). Discursos contrarios a la educación sexual en España: argumentario mediático y agentes de referencia en Twitter (X). ICONO 14. Revista Científica De Comunicación Y Tecnologías Emergentes, 22(1): e2086. https://doi.org/10.7195/ri14.v22i1.2086

Proyecto: //
DOI: https://hdl.handle.net/10651/72588, https://dx.doi.org/10.17811/ruo_datasets.72588
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72588
HANDLE: https://hdl.handle.net/10651/72588, https://dx.doi.org/10.17811/ruo_datasets.72588
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72588
PMID: https://hdl.handle.net/10651/72588, https://dx.doi.org/10.17811/ruo_datasets.72588
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72588
Ver en: https://hdl.handle.net/10651/72588, https://dx.doi.org/10.17811/ruo_datasets.72588
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72588

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