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<p>The ability to understand and regulate emotions in ourselves and others is essential for the healthy development of all human beings. It helps people comprehend themselves and other people, it guides response and decision making and enhances the capacity to develop social relationships. People with Autistic Spectrum Disorders have deficiencies in Emotional Intelligence skills and that leads to difficulties in understanding themselves and the people in their social environments in relation to emotions, feelings and thoughts. The usability of mobile applications developed for children and adolescents with ASD is important because it gives the opportunity to practice in an accessible and creative way to enhance their emotional intelligence. The current article aims to carry out a systematic review of mobile applications on improving emotional intelligence in children and adolescents with Autistic Spectrum Disorders.</p>

Abstract-Serious Games (SGs) indicate positive effects on Preschool andPrimary school students and promote a multi sensory style of learning. This review paper explores the integration of Serious Games in the area of Preschool and Primary Education, in the last decade (2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016). The studies were carried out on Preschool and Primary school settings, respectively. Research showed that Serious Games are able to keep all students engaged in classroom facilities, scaffolding their learning through increased motivation, independence, autonomy and resultant self-esteem. Serious Games Based Learning (GBL) has proven its added value in almost every aspect of the curriculum.

In this paper we introduce a network coding-aided energy efficient Medium Access Control (MAC) protocol that coordinates the transmissions among a set of relay nodes which act as helpers in cooperative Automatic Repeat reQuest-based (ARQ-based) wireless networks. Applying network coding techniques, we achieve to increase the energy efficiency of the network without compromising the system performance in terms of Quality of Service. Our proposed solution is evaluated by both analytical and simulation results.

The aim of this article is to explore a paradigm shift on Brain Computer Interface (BCI) research, as well as on intervention best practices for training and rehabilitation of students with neurodevelopmental disorders. Recent studies indicate that BCI devices have positive impact on students' attention skills and working memory as well as on other skills, such as visuospatial, social, imaginative and emotional abilities. BCI applications aim to emulate humans' brain and address the appropriate understanding for each student's neurodevelopmental disorders. Studies conducted to provide knowledge about BCI-based intervention applications regarding memory, attention, visuospatial, learning, collaboration, and communication, social, creative and emotional skills are highlighted. Only non-invasive BCI type of applications are being investigated based upon representative, non-exhaustive and state-of-the-art studies within the field. This article examines the progress of BCI research so far, while different BCI paradigms are investigated. BCI-based applications could successfully regulate students' cognitive abilities when used for their training and rehabilitation. Future directions to investigate BCI-based applications for training and rehabilitation of students with neurodevelopmental disorders concerning the different populations involved are discussed.

In today’s Industrial Internet of Things (IIoT) environment, where different systems interact with the physical world, the state proposed by the Industry 4.0 standards can lead to escalating vulnerabilities, especially when these systems receive data streams from multiple intermediaries, requiring multilevel security approaches, in addition to link encryption. At the same time taking into account the heterogeneity of the systems included in the IIoT ecosystem and the non-institutionalized interoperability in terms of hardware and software, serious issues arise as to how to secure these systems. In this framework, given that the protection of industrial equipment is a requirement inextricably linked to technological developments and the use of the IoT, it is important to identify the major vulnerabilities and the associated risks and threats and to suggest the most appropriate countermeasures. In this context, this study provides a description of the attacks against IIoT systems, as well as a thorough analysis of the solutions for these attacks, as they have been proposed in the most recent literature.