Abstract
Introduction: As the COVID-19 pandemic spreads around the world, governments are seeking solutions to mitigate contagion. These initiatives use technology to control the movement of infected people, particularly from mobile phone monitoring. This manuscript intends in the first stage to carry out a brief overview of these initiatives at the global level. After that, it aims to identify the main challenges posed by these apps in monitoring the individual's health data and explore good practices that may prove fundamental for the uptake of these solutions on a large-scale. Material and Methods: This study employs a qualitative methodology to perform a review on technological solutions for screening and geolocation of COVID-19 infected people. Five countries have been selected considering the different approaches in the implementation of these technological solutions. Four fundamental principles for the evaluation of these solutions such as consent, proportionality, transparency, and security were considered. Through this approach, it has become feasible to identify and discuss the challenges and best practices in the implementation of these solutions. Results: Although these applications publicly assume that they guarantee people's fundamental rights this information becomes insufficient. It is necessary to evaluate these solutions specifically considering fundamental principles such as consent, proportionality, transparency, and security. The existence of an independent body authority that can audit these solutions is relevant, besides the voluntary adherence to these applications. Conclusion: The way these solutions are implemented and imposed in these countries is quite different. The absence of mechanisms to measure how data is stored and processed raise concerns among people. Accordingly, the large-scale adoption of these tools requires that people's fundamental rights be duly considered from a multidimensional perspective.

Abstract

Abstract
The green hydrogen (H-2) technology has an important role to play in the European Union energy strategy towards decarbonization. Apart from traditional H-2 industrial usages, there is an increasing attention to its use in the heavy transport sector, in other energy-intensive industries, and in heating applications. Green H-2 production is planned to be based on renewable electricity generation and its production at an industrial scale may have a significant impact on the electricity markets. This research assesses the electricity cost of producing H-2 and its impact on the Iberian electricity market. Different evolution scenarios including a partially flexible H-2 demand, based on the Spanish and Portuguese energy and climate plans, have been considered for this assessment.

Abstract
This study aimed to identify: (i) the relevant applications based on information technologies and requiring smart cities' infrastructure to facilitate the mobility of older adults in URBAN SPACES; (ii) the type of data being used by the proposed applications; (iii) the maturity level of these applications; and (iv) the barriers TO their dissemination. An electronic search was conducted on Web of Science, Scopus, and IEEE Xplore databases, combining relevant keywords. Then, titles and abstracts were screened against inclusion and exclusion criteria, and the full texts of the eligible articles were retrieved and screened for inclusion. A total of 28 articles were included. These articles report smart cities' applications to facilitate the mobility of older adults using different types of sensing devices. The number of included articles is reduced when compared with the total number of articles related to smart cities, which means that the mobility of older adults it is still a not significant topic within the research on smart cities'. Although most of the included studies aimed the implementation of specific applications, these were still in an early stage of development, without the assessment of potential end-users. This is an important research gap since it makes difficult the creation of market-oriented solutions. Another research gap is the integration of knowledge generated by other research topics related to smart cities and smart mobility. Consequently, important issues (e.g., user privacy, data standardization and integration, Internet of Things implementation, and sensors' characteristics) were poorly addressed by the included studies.

Abstract
The orders Neuroptera and Raphidioptera include the species of insects known as lacewings and snake flies, respectively. In Portugal, these groups account for over 100 species, some of which are very difficult to identify by morphological analysis. This work is the first to sample and DNA sequence lacewings and snakeflies of Portugal. A reference collection was built with captured specimens that were identified morphologically. DNA barcode sequences of 658 bp were obtained from 243 specimens of 54 species. The results showed that most species can be successfully identified through DNA barcoding, with the exception of seven species of Chrysopidae (Neuroptera). Additionally, the first published distribution data are presented for Portugal for the neuropterans Gymnocnemia variegata (Schneider, 1845) and Myrmecaelurus (Myrmecaelurus) trigrammus (Pallas, 1771).

Abstract
Falls, especially in the elderly, are one of the main factors of hospitalization. Time-consuming intervention can be fatal or cause irreversible damages to the victims. On the other hand, there is currently a significant amount of smart clothing equipped with various sensors, particularly gyroscopes and accelerometers, which can be used to detect accidents. The creation of a tool that automatically detects eventual falls allows helping the victims as soon as possible. This works focuses in the automatic fall detection from sensors signals using long short-term memory networks. To train and test this approach, the Sisfall dataset is used, which considers the simulation of 23 adults and 15 older people. These simulations are based on everyday activities and the falls that may result from their execution. The results indicate that the procedure provides an accuracy score of 97.1% on the test set.