Resultados de investigación

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 1002 adult participants in Italy in 2020. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe., 1

This file includes finite element simulation data (ultimate load factors) carried out on 60 steel and stainless steel frames, including regular and irregular frame configurations with different section sizes. Ultimate load factors corresponding to different initial imperfection combinations are included., 1

Datos pertenecientes a una investigación sobre satisfacción con la vida en mujeres con diagnóstico de cáncer de mama, Grupo de investigación CTS-110

Emotional intelligence (EI) is typically linked to higher subjective happiness scores in human service professionals. It is unknown which EI facets are more predictive in explaining subjective happiness beyond that accounted for by other key predictors such as perceived stress. This study investigated which EI facets were the most predictive in explaining subjective happiness above perceived stress in a relatively large sample of Spanish teachers. The sample was composed of 1323 Spanish teaching professionals (821 females and 529 secondary school teachers) from different educational centers located in Southern Spain. A student-recruited sampling technique was used, and the surveys included the Wong and Law Emotional Intelligence Scale, the Subjective Happiness Scale, and the Perceived Stress Scale. Predictive and incremental validity was assessed with SPSS, and hierarchical regression analysis was used to predict subjective happiness from EI facets beyond that accounted for by perceived stress. The results showed that all four EI facets correlated significantly with each other. Also, they all were positively and significantly associated with subjective happiness, whereas perceived stress was negatively associated with happiness scores. Moreover, self-emotion appraisal, use of emotions and regulation of emotions accounted for a significant amount of variance in the prediction of satisfaction with life beyond the effects of sociodemographic variables and perceived stress. This study extends the specific contribution of EI facets in predicting subjective happiness, rather than EI as a unified construct, in a relatively large sample of Spanish teachers. Self-focused dimensions involving appraisal, use and regulation of emotions appeared to be the most important predictors of happiness beyond stress experienced by teachers. Improved knowledge of the link between specific dimensions of EI and global subjective happiness might improve training in a well-being prevention..., Junta de Andalucía (UMA18-FEDERJA-147). Ministerio de Ciencia e Innovación (PID2020-117006RB-I00). Grupo PAIDI CTS-1048 de la Junta de Andalucía. Universidad de Málaga. Ministerio de Ciencia, Innovación y Universidades (FJC2019-038942-I/AEI/10.13039/501100011033)

This paper presents a new synthetic dataset openly available at https://www.uma.es/robotics-and-mechatronics/info/132852/negs-ugv-dataset obtained from Gazebo simulations of an Unmanned Ground Vehicle (UGV) moving on different natural environments. To this end, a Husky mobile robot equipped with a tridimensional (3D) Light Detection and Ranging (LiDAR) sensor, a stereo camera, a Global Navigation Satellite System (GNSS) receiver, an Inertial Measurement Unit (IMU) and wheel tachometers has followed several paths using the Robot Operating System (ROS). Both points from LiDAR scans and pixels from camera images, have been automatically labeled into their corresponding object class. For this purpose, unique reflectivity values and flat colors have been assigned to each object present in the modeled environments. As a result, a public dataset, which also includes 3D pose ground-truth, is provided as ROS bag files and as human-readable data. Potential applications include supervised learning and benchmarking for UGV navigation on natural environments. Moreover, to allow researchers to easily modify the dataset or to directly use the simulations, the required code has also been released, This work was partially supported by the Andalusian project UMA18-FEDERJA-090 and by the Spanish project RTI2018-093421-B-I00.

Datos pertenecientes a una investigación sobre ansiedad futura en jóvenes, Grupo de investigación CTS-110

El conjunto de datos se obtuvo utilizando una mano robótica de tres dedos: uno fijo con un sensor táctil de alta resolución y dos dedos subactuados con sensores propioceptivos., Conjunto de datos formados por información kinestesica y táctil obtenido de un agarre de antebrazo con una pinza.

Collection of data published in the article: https://hdl.handle.net/10630/23528, Spanish Ministry of Economy SAF2016-79008-P, PSI2017-82604-R, PID2020- 114392RB-I00, PDC2021-121566-I0. Junta de Andalucia UMA18-FEDERJA-008, P20_00026, PI-0083-2019

Link to the questionnaire in Google Forms from which the data is obtained: https://docs.google.com/forms/d/1JoJfv8R0LD9_hU-XVH3qdO16qCONIuNLfUV1Of6Xzks/edit, The database contains the responses of 242 undergraduate students at the University of Malaga to a questionnaire conducted on the concept “Interest in applying Building Information Modeling (BIM) to the visualization of information in seat reservation systems”. This analysis was performed with the aim of demonstrating the interest of using the BIM model of a built space for the purpose of enabling the personalization of reservations in occupancy management systems and to bring virtual knowledge of the building to new users, thus introducing improvements in existing systems., This work was funded by the Vice-rectorate of the Smart-Campus of the University of Malaga within the first Smart-Campus Initiative.

Este dataset contiene los resultados de una comparación de la proteómica de corazones de ratones con deleción condicional del gen Wt1 en el miocardio, tratados o no con doxorubicina, y sus correspondientes controles, This work was funded by: Spanish Ministry of Economy, Industry and Competitivity (BFU2017-83907-P) to R.M.C. and R.C., Consejería de Salud, Junta de Andalucía (PC0066‐2017/PC-0081-2017) to R.C., Instituto de Salud Carlos III-TERCEL network (RD16/0011/0030) to R.M.C., R.C., Consejería de Economía y Conocimiento, Junta de Andalucía (UMA18-FEDERJA-146) to R.M.C. and R.C.