Resultados de investigación

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)

--------------------------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.

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

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

This dataset is directly associated with the article deposited in the University of Oviedo Institutional Repository (RUO) under handle https://hdl.handle.net/10651/70610 and contains all the data required to reproduce the experimental results reported therein., This dataset contains workflow instances, infrastructure configurations and experimental results used in the evaluation reported in the paper “Precise makespan optimization via hybrid genetic algorithm for scientific workflow scheduling problem” (Natural Computing, 2023). The dataset includes benchmark workflow definitions derived from WfCommons, host configuration files, and experimental results provided both as original Excel workbooks and as interoperable CSV files with documented column semantics. The dataset has been archived to support transparency, computational reproducibility and reuse of the experimental evaluation, providing all the necessary inputs and results required to replicate the experiments reported in the associated publication, in compliance with Open Science and FAIR principles., Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research has been supported by the Spanish State Agency for Research (AEI) under research project PID2019-106263RB-I00.

When using this data please cite the original publication: Miñarro, M. & García, D. (2024). Landscape composition and orchard management effects on bat assemblages and bat foraging activity in apple crops. Ecosphere. When using this data please acknowledge the original research grants (and funding agencies): PID2020-120239RR-100 (MiCIn/AEI/10.13039/501100011033/ and FEDER), MRR/PA-24-BIODIVERSIDAD-BIO02 (MiCIn and Asturian Government, Next Generation EU)., Dataset that accompany the article Miñarro, M. & García, D. (2025). Landscape composition and orchard management effects on bat assemblages and bat foraging activity in apple crops. Ecosphere., PID2020-120239RR-100 (MiCIn/AEI/10.13039/501100011033/ and FEDER MRR/PA-24-BIODIVERSIDAD-BIO02 (MiCIn and Asturian Government, Next Generation EU).

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).

Raw data gut microbiota analysis from mice.