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Improvements in telecommunications and digitalization directly improve the efficacy of a wide variety of processes. Recently, detection systems have received considerable attention because of the importance of tracking infected people contacts during SARS-CoV-2 pandemic. Such implementations can be useful in the task of finding potential victims in the context of emergency response, especially in situations where GPS is not available or inspection by imaging is not practical. Radio signals come into play, and specifically from devices that transmit periodically and with low power consumption. With the rise of Internet of Things over the last years, the number of wearable devices that support BLE, such as smartbands, smartwatches or smartphones, has been increasing constantly, as well as the number of users that carry them. Those devices can provide considerable assistance in locating injured or unconscious people. This work presents a system for detecting victims by means of a terrestrial search and rescue (SAR) robot. A real implementation of a close detection robotic platform based on BLE for SAR interventions is laid out. To estimate the distance between a robotic agent and potential victims within an experimental area, a Log-distance path loss model is presented. The proposed scheme has been tested in realistic scenarios during SAR exercises. This work was partially funded by the Spanish project RTI2018-093421-B-I00. It has been also performed in the framework of the Horizon 2020 project LOCUS (ICT-871249) receiving funds from the European Union. This work has been also partially funded by Junta de Andalucía and ERDF projects: Consejería de Transformación Económica, Industria, Conocimiento y Universidades, Proyecto de Excelencia PENTA, P18-FR-4647; postdoctoral grant (Ref., DOC 01154, “selección de personal investigador doctor convocado mediante Resolución de 21 de mayo de 2020”, PAIDI 2020) and the I Plan Propio de Investigación, Transferencia y Divulgación Científica of the University of Málaga. The authors want to thank the collaboration of the Chair for Safety, Emergencies and Disasters of the University of Malaga, led by Prof. Jesús Miranda, as well as Javier Serón Barba for his support during the experiments. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.

Detection systems have recently received considerable attention because of the importance of tracking infected people during SARS-CoV-2 pandemic. Such implementations can be very useful for finding potential victims in the context of emergency response, especially in situations where GPS is not available for inspection by imaging is not practical. Radio signals come into play, and specifically from devices that transmit periodically and with low power consumption. With the rise of Internet of Things and the plethora of wearable devices used in everyday life, like a smartphone, Bluetooth Low Energy (BLE) can provide considerable assistance in locating lost people. This work presents a system for detecting victims in a non-structured environment, by means of a search and rescue (SAR) robot. A real implementation of a close detection robotic platform based on BLE for SAR interventions is laid out. In order to estimate the distance between a robotic agent and potential victims within an experimental area, a Log-distance path loss model is presented, which has been tuned to detect beacons with reasonable accuracy within a range of 25 meters in rugged environments. The proposed scheme has been tested in realistic scenarios during SAR exercises. Los autores quieren agradecer la colaboración de la Cátedra de Seguridad, Emergencias y Catástrofes de la Universidad de Málaga, dirigida por el profesor Jesús Miranda, así como a Javier Serón Barba por su apoyo durante los experimentos. Este trabajo ha sido parcialmente subvencionado por el proyecto RTI2018-093421-B-I00. Se ha realizado en el cuadro del proyecto Horizonte 2020 proyecto LOCUS (ICT-871249) recibiendo fondos de la UE. Este trabajo también ha sido parcialmente subvencionado por la Junta de Andalucía y el ERDF (Consejería de Transformación Económica, Industria, Conocimiento y Universidades, Proyecto de Excelencia PENTA, P18-FR-4647). Este trabajo ha sido parcialmente financiado por la Junta de Andalucía y el ERDF en el marco del proyecto 5G-SCARF - 5G Smart Communications for the AiRport of the Future (Ref. UMA-CEIATECH-17, “Proyecto singular de actuaciones de transferencia del conocimiento Campus Excelencia Internacional Andalucía TECH. Ecosistema innovador con inteligencia artificial para Andalucía 2025”). Finalmente, al I Plan Propio de Investigación y Transferencia de Universidad de Málaga. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.

The range-wide management of the jaguar (Panthera onca) depends upon maintaining core populations connected through multi-national, transboundary cooperation, which is dependent upon understanding the movement ecology and space use of jaguars throughout their range. Using 117 telemetry trajectories from 12 ecoregions, we examined the landscape-level environmental and anthropogenic factors related to jaguar home range size and movement parameters. Range-wide and at the ecoregional scale home range size decreased with increasing net productivity and increased with increasing road density. Also, range-wide, home range size decreased with increasing forest cover and decreasing human population density. Movement within home ranges was best explained by a different set of environmental covariates. Range-wide predictions of home range size were consistent with expectations based upon density estimates. Our findings provide a mechanism to evaluate range-wide habitat quality for jaguars and an inferential modeling framework that can be adapted to the conservation of other large terrestrial carnivores.

This article analyses the specific role of collectivistic personal values as an antecedent of entrepreneurial intention. While previous studies have focused on individualistic values, the influence of collectivistic values has remained largely ignored. We study this influence on a sample of 413 university students from the United Kingdom and Spain. The results are consistent in both countries, suggesting that an emphasis on collectivistic personal values triggers an indirect, negative effect on entrepreneurial intentions through both personal attitude and perceived behavioural control. However, it also induces an indirect positive effect through subjective norms. The study indicates that not only individualistic values but the complete personal-value structure is influential in explaining the formation of entrepreneurial intentions.