This article presents an initiative that addresses the problem of the digital literacy generational gap, targeting older adults that struggle to integrate the digital world and are unaware of the dangers of the online environment. The article has a European scope but with a special attention to the Portuguese context. The methodological approach started with a theoretical research on digital and online literacy of adults, followed by the design of an innovative training program specifically designed for this target group and finished with the results of the evaluation of the impact of the training. The overall conclusion, based on the achieved results, leads us to think that it is possible to improve the digital literacy of older adults so that they become effective online users while being alert to the dangers of the online world. Therefore, the work conducted is expected to contribute to a greater awareness of the importance and socio-economic possibilities that arise from the digital and technological investment for stimulating the integration of the older generation in the digital context.

Microservice-based architectures feature function-ally independent, well-defined and fine-grained components suit-able for loosely coupled deployments and for building reli-able cloud-native applications. Despite the advantages of this approach, component interactions introduce complexity, thus turning boundary -spanning service operation into a daunting challenge. As systems grow in size, complexity can easily outgrow the cognitive capacity of human operators, who are unable to effectively diagnose faulty microservices. We address this problem by proposing a novel framework to diagnose faulty microservices. Through failure injection and an experimental assessment, our layered diagnosis framework using service response analysis, timing constraints, causality and a ranking algorithm from traces, is able to effectively diagnose faulty microservices. Empirical evaluation of the proposed approach, by examining 130 experi-ments in a representative microservice application in the presence of faults, shows that it can achieve approximately 89% specificity and 77% recall.

The remote maintenance of home appliances, like washing machines, air conditioning, and heating system is a complex problem, but with the help of the ongoing developments on Internet of Things, Data Analysis and Artificial Intelligence, the problem can now be tackled with success. This paper mostly focus in presenting the architecture developed within the aim of the SMART-PDM project for the acquisition of data on the operation of home appliances and then it also shows some preliminary results for washing machines, which give some hints on how to fine tune the system to achieve predictive maintenance and condition monitoring.

Being able to understand, express, and communicate emotions is widely recognized as a fundamental competence. For the younger generation entering the professional market, this is particularly relevant as, in this context, emotions are managed and communicated in ways (and channels) that are different from what they are used to and that can easily lead to misunderstandings. Therefore, it is important to analyze how young people deal with, understand, and interpret emotions, particularly in the context of a professional career where the ability to dialogue with different people and how to get around problems in a healthy and resilient way is essential. This analysis will allow one to design and create tools that allow the younger generation to improve their emotional intelligence and competence. This article introduces the League of Emotions Learners (LoEL) project, an innovative initiative that, through a game app, develops the emotional competence and intelligence of young people. The article then presents the results obtained in the initial validation that led to the positive understanding of its impact.

Peer-to-peer (P2P) electricity sharing or trading can empower consumers and prosumers, incentivize the balancing of generation and demand locally, increase system resilience and reliability, and help in achieving societal goals, such as increasing renewable energy penetration. Nevertheless, the development of P2P trading in actual environments has been slow due to the unclear position of P2P markets in the power system. Recent developments in the European legislation are promising for the establishment of P2P markets and energy communities. Hence, the interplay between local trading and existing market structures needs to be addressed carefully. Furthermore, P2P trading with distributed resources presumes that electricity end users will become active players in the power system. This paper proposes a bidding and pricing mechanism for local markets, considering the external markets; a new approach to balance settlement and balance responsibility when local trading occurs; and an interface to promote end-user interest in, and interactions with, local energy trading. The proposed local market concept and interface solution promote the coupling between local and existing retail, wholesale and ancillary service markets, and can be seen as a step towards the establishment of local energy markets in real-life settings.

• A social values-based assessment framework framed on P2P energy sharing is given. • The framework assesses whether social values emerge from the ground up or are reinforced/modified. • The impact of the framework on 123 end-users from 3 real-life pilots is analysed. • Social values were mainly considered to have been reinforced by P2P energy sharing. • Framework is scalable if result interpretations undergo a cohesive validity check. Peer-to-peer (P2P) energy sharing models fundamentally thrive on the social interconnectedness among end-users, but the literature fails to provide fit-for-purpose methodologies that uncover their Social Sciences & Humanities aspects. Therefore, this paper devised the first overarching social values-based assessment framework that allows the identification of underlying social values associated with these models. Thence, this paper looks at whether social values emerge from the ground up due to P2P energy sharing, or whether existent social values are reinforced/modified by P2P energy sharing. The impact of the framework on 123 end-users from 3 real-life pilots is analysed. The social values enacted in this paper were mainly categorised as existing social values that were reinforced by peer-to-peer energy sharing. This framework is scalable, provided that result interpretations undergo a cohesive validity check on a case-by-case basis. In conclusion, this paper expects to create a new social values-based language that is explicitly associated with P2P energy sharing.

Cloud-native applications consist of highly specialized and decoupled services that can be deployed, scaled and managed independently. Maintaining such applications available is a complex task for operators, because software defects and other kinds of faults can be challenging to diagnose and repair to quickly resume operations. Autonomic service operation is therefore a promising approach. However, there are risks associated to guaranteeing safe autonomic actuation, which must be managed. This paper discusses the challenges identified in the context of the development of a platform for autonomic service operation and describe the software architecture of the platform. Results show mean times to detect, diagnose and repair failures in the order of tens of seconds.

This paper presents a systematic analysis highlighting the opportunities and barriers integrating third-party aggregators in selected markets. Accordingly, it develops a critical comparative framework covering the technical entry specifications, and regulatory conditions evaluating the access of small-scale demand response (DR) aggregation. Promising pilots have been implemented across Europe testing small-scale load aggregation in various platforms, including balancing and ancillary services. By exploring the projects in the case countries, challenges have been outlined. The results show that balancing participation is still dominated by conventional generation units i.e. traditional players. Additionally, compensation of concerned stakeholders, namely balance responsible parties, remains unclear. Nonetheless, improvement is noticeable upon selected markets.

Peer-to-peer (P2P) energy sharing is a fast-emerging concept that concerns electricity exchanges between grid-connected end-users. This innovative user-centric market model incentivises the creation of more distributed, collaborative, and democratised energy networks compared to traditional ones. Current research on P2P energy sharing has essentially focused on the definition of its techno-economic attributes, hence sound research on end-user engagement in this context is still lacking in the scientific literature. This paper addresses this knowledge gap by proposing a novel end-user engagement framework constructed around the P2P energy sharing context that was trialled in 3 different pilots in Portugal. These pilots represent the first Portuguese testing grounds where this concept was demonstrated under real market conditions. Findings based on a sample of 123 participants suggest that the proposed framework was effective in raising awareness and empowering unmotivated, passive end-users in an initial phase of the project implementation, as well as in retaining the interest of motivated end-users during a later phase. Furthermore, the empirical analysis allowed to conclude that participation in the project was predominantly voluntary rather than coerced. The proposed end-user engagement framework contributes to the scientific literature since it facilitates and guides the design of future P2P energy sharing initiatives.

The use and outcomes of nasotracheal intubation in pediatric patients requiring mechanical ventilation have not been quantified. Our goal is to identify prevalence of use, associated factors, and outcomes of nasotracheal versus orotracheal intubation in patients requiring mechanical ventilation. Retrospective cohort study using deidentified data from the Virtual Pediatric Systems database. Data from PICU admissions from January 1, 2015, to December 31, 2016 were analyzed. One hundred twenty-one PICUs located within the United States. PICU admissions requiring an endotracheal tube-either nasotracheal or orotracheal-were included. Those with a tracheostomy tube present at admission were excluded from the study. Not applicable. Among the 121 PICUs included in the study, 64 PICUs (53%) had zero nasotracheal intubations during the reviewed time period. There were 12,088 endotracheal intubations analyzed, and 680 of them (5.6%) were nasotracheal. Of those patients nasotracheally intubated, most were under 2 years old (88.1%), and 82.2% of them were classified as a cardiac patient. Among these young cardiac patients, the rate of unplanned extubation was 0% in the nasotracheal intubated versus 2.1% in the orotracheal intubated group (p < 0.001) CONCLUSIONS:: Nasotracheal intubation is used in a minority of U.S. PICUs and mainly among young cardiac patients. Nasotracheal intubation is associated with a lower rate of unplanned extubations in this patient population. Future prospective studies analyzing the benefits and complications of nasotracheal versus orotracheal intubation in pediatric patients requiring mechanical ventilation are indicated.