Isaias Garcia

The disease brought about by the SARS-CoV-2, COVID-19 coronavirus has had an unprecedented global impact. Confinement to control the outbreak may have mental health consequences for the most vulnerable in the population, including adolescents. This study aims to describe and analyze the relationships between the stress variables, Emotional Intelligence and the intention to use cannabis in healthy adolescents, before and after the end of the COVID-19 pandemic containment stage. A comparative correlational study was carried out with validated self-completed questionnaires through an online platform. The sample is made up of adolescents aged 13–17 from two different schools in Ponferrada. The analysis of correlation and differences between the groups indicate that confinement has had effects on the mental health of the adolescents, specifically on the emotional manifestations of stress. Furthermore, significant gender differences were found for stress values and Emotional Intelligence. However, no differences have been found for cannabis use intention.

Background:Researchers study climate to gain an understanding of the psychological environment of organizations, especially in healthcare institutions. Climate is considered to be the set of recurring patterns of individual and group behaviour in an organization. There is evidence confirming a relationship between ethical climate within organizations and job satisfaction. Objectives: The aim of this study is to describe organizational climate for nursing personnel in public and private hospitals and to confirm the relationships among the climate variables of such hospitals. Materials and methods: A correlational study was carried out to measure the organizational climate of one public hospital and two private hospitals in Granada. The Work Environment Scale was used for data collection. The Work Environment Scale includes 10 scales, ranging from 0 to 9, which were used to evaluate social, demographic and organizational climate variables. In this study, 386 subjects were surveyed in three hospitals. Results: A total of 87% of the participants were female and 16% were male. Most participants were nurses (65.6%), followed by nursing aides (20%), and technicians (14.4%). The results obtained reflected different patterns of organizational climate formation, based on hospital type (i.e. public or private) within the Spanish context. Most of the dimensions were below the midpoint of the scale. Discussion and conclusions: In conclusion, in public hospitals, there is a greater specialization and the organizational climate is more salient than in the private hospitals. In addition, in the public hospitals, the characteristics of the human resources and their management can have a significant impact on the perception of the climate, which gives greater importance to the organizational climate as decisive of the ethical climate

The large number of sensors and actuators that make up the Internet of Things obliges these systems to use diverse technologies and protocols. This means that IoT networks are more heterogeneous than traditional networks. This gives rise to new challenges in cybersecurity to protect these systems and devices which are characterized by being connected continuously to the Internet. Intrusion detection systems are used to protect IoT systems from the various anomalies and attacks at the network level. Intrusion Detection Systems can be improved through machine learning techniques. Our work focuses on creating classification models that can feed an IDS using a dataset containing frames under attacks of an IoT system that uses the MQTT protocol. We have addressed two types of method for classifying the attacks, ensemble methods and deep learning models, more specifically recurrent networks with very satisfactory results.