BUSCADOR RECOLECTA

Este estudio examinó el efecto moderador de la cohesión familiar, la expresividad y el conflicto sobre las relaciones entre la inteligencia emocional, la satisfacción con la vida y la ideación suicida entre los adolescentes españoles. La muestra la formaron un total de 2.722 adolescentes de 10 a 19 años (Edad = 14,11, s.d. = 1,42; 52,8% niñas). Los efectos de la interacción fueron significativos: el conflicto familiar mitigó los efectos de la inteligencia emocional sobre la satisfacción con la vida, y la cohesión y expresividad familiar fortalecieron los efectos de la inteligencia emocional sobre la ideación suicida. Estos hallazgos proporcionan evidencia adicional del papel protector de la cohesión familiar y la expresividad en la ideación suicida de los adolescentes, y el papel dañino del conflicto familiar en el bienestar de los adolescentes. Los resultados implican que mejorar la cohesión familiar y la expresividad y reducir los conflictos familiares puede ser una forma prometedora de reforzar el vínculo entre la inteligencia emocional y la satisfacción con la vida y de prevenir la ideación suicida entre los adolescentes., Universidad de Málaga Grupo PAIDI Applied Positive Lab CTS-1048 (Junta de Andalucía) Proyecto I+D+i del Ministerio de Ciencia e Innovación de España (PID2020-117006RB-I00)

Problematic smartphone use (PSU) has been widely studied, and recent research has examined the affective and cognitive process risk factors that underlie its development and maintenance. Based on the Interaction of Person–Affect–Cognition–Execution model for problematic internet use, the present study analyzed the mediating role of cognitive emotion regulation strategies in the link between depressive symptomatology and PSU severity in adolescents. The sample consisted of 2,197 adolescents aged 12 to 19 years from southern Spain, who completed self-report questionnaires of depressive symptoms (Depression Anxiety Stress Scale–21), cognitive emotion regulation strategies (Cognitive Emotion Regulation Strategies Questionnaire), and PSU severity (Smartphone Addiction Scale–Short Version). We used the SPSS PROCESS macro to conduct parallel mediation analyses. The results demonstrated significant indirect/mediation effects from depressive symptoms to PSU severity through cognitive emotion regulation strategies, including other-blame, catastrophizing, rumination (i.e., maladaptive), and refocus on planning (i.e., adaptive). The implications of this study include that specific teaching about these strategies may help reduce PSU severity in adolescents., Universidad de Málaga (PPIT.UMA.A2.2019, PPIT.UMA.D2.2022) Grupo PAIDI Applied Positive Lab CTS-1048 (Junta de Andalucía) Proyecto I+D+i del Ministerio de Ciencia e Innovación de España (PID2020-117006RB-I00) Fondos FEDER/Junta de Andalucía (UMA 18-FEDERJA-147)

- [The full description of the dataset can be found at: https://www.uma.es/robotics-and-mechatronics/info/124594/sar-datasets/ ] - Collection of multimodal raw data captured from a manned all-terrain vehicle in the course of two realistic outdoor search and rescue (SAR) exercises for actual emergency responders conducted in Málaga (Spain) in 2018 and 2019: the UMA-SAR dataset. The sensor suite, applicable to unmanned ground vehicles (UGVs), consisted of overlapping visible light (RGB) and thermal infrared (TIR) forward-looking monocular cameras, a Velodyne HDL-32 three-dimensional (3D) lidar, as well as an inertial measurement unit (IMU) and two global positioning system (GPS) receivers as ground truth. Our mission was to collect a wide range of data from the SAR domain, including persons, vehicles, debris, and SAR activity on unstructured terrain. In particular, four data sequences were collected following closed-loop routes during the exercises, with a total path length of 5.2 km and a total time of 77 min. In addition, we provide three more sequences of the empty site for comparison purposes (an extra 4.9 km and 46 min). Furthermore, the data is offered both in human-readable format and as rosbag files, and two specific software tools are provided for extracting and adapting this dataset to the users’ preference. The review of previously published disaster robotics repositories indicates that this dataset can contribute to fill a gap regarding visual and thermal datasets and can serve as a research tool for cross-cutting areas such as multispectral image fusion, machine learning for scene understanding, person and object detection, and localization and mapping in unstructured environments., This work has been performed in the frame of the project “TRUST-ROB: Towards Resilient UGV and UAV Manipulator Teams for Robotic Search and Rescue Tasks,” funded by the Spanish Government (grant number RTI2018-093421-B-I00) and project UMA18-FEDERJA-090 funded by the Andalusian Regional Government (Junta de Andalucía)