Abstract
The so-called fourth industrial revolution brought a disruptive change in the way that communication technologies, distributed systems, intelligent data management, analytics and computational capability and other technologies are integrated to enable new functions and enhance capabilities not only to production systems, but also in many other domains such as education. Mobile Health (m-Health) education is one of these, where the number of applications and tools for m-Health education is extensive. The SARS-Cov2 (Covid-19) pandemic brought to life immense challenges towards education, technology, and the symbiosis with medicine. This paper introduces 31 of the current state-of-the-art m-Health education applications and analyses the results of an an inquiry to students and junior doctors during the confinement, designed to understanding their knowledge, use and trust regarding these apps. The results show that several applications are well perceived by their users and deserved their trust andconfirms a good relation between use and trust on the applications analysed. This analysis open doors to a deeper study to evaluate at which extent improving m-Health education means not only to transmit knowledge but also to developing skills and better practices.

Abstract

Abstract
This paper aims to identify and analyze project management maturity models in order to identify those best suited to be adopted in construction firms. To do so, models from papers available in academic repositories were analyzed. To be successful, the construction business deeply depends on projects outcomes; thus, the implementation of project management maturity models is important for this sector. A maturity model is a valuable technique to assess project management capabilities within a single part of an organization or to assess an organization as a whole. Its main purpose is to provide a means to create a more organized and predictable way for organizations to achieve their goals, increasing their chances of success regarding the outputs, outcomes, and benefits. In this paper, documentary research was performed to identify available project management maturity models and togather information about their performance. The information gathered was used to find elements to be compared with the identified models. Reviewing the literature, 39 project management maturity models were identified. The authors selected two PMMMs that were well fitted to assess the project management capabilities in construction firms: OPM3 and MMGP Prado.

Abstract
Cities are becoming increasingly complex to manage, as they increase in size and must provide higher living standards for their populations. New technology-based solutions must be developed towards attending this growth and ensuring that it is socially sustainable. This paper puts forward the notion that these solutions must share some properties: they should be anthropocentric, holistic, horizontal, multi-dimensional, multi-modal, and predictive. We propose an architecture in which streaming data sources that characterize the city context are used to feed a real-time graph of the city's assets and states, as well as to train predictive models that hint into near future states of the city. This allows human decision-makers and automated services to take decisions, both for the present and for the future. To achieve this, multiple data sources about a city were gradually connected to a message broker, that enables increasingly rich decision-support. Results show that it is possible to predict future states of a city, in aspects such as traffic, air pollution, and other ambient variables. The key innovative aspect of this work is that, as opposed to the majority of existing approaches which focus on a real-time view of the city, we also provide insights into the near-future state of the city, thus allowing city services to plan ahead and adapt accordingly. The main goal is to optimize decision-making by anticipating future states of the city and make decisions accordingly.

Abstract
Nowadays we are facing the emergence of new challenges, especially focused on environmental behavior and climate change and also the effects and impacts of COVID-19 world pandemic - which can restrain the attainment of the desired sustainability. It is, then, mandatory to reply to all of these challenges through the design of specific paths to attain sustainable development in a collective approach, with the involvement and the commitment of the community and performed in an integrated way. Thus, it is proposed a trans-disciplinary research method based on the European Union title recognition - European Green Capital (EGC) -, directly related to the Circular Economy (CE), together with a Data Envelopment Analysis (DEA). This paper highlights sustainable measures and proposes common managerial strategies and policies, that can support the cities/regions' sustainable practices embedding as well as ensure its overall monitoring to measure if the actions implemented through time are adequate and efficient towards attaining CE and sustainable development. Those are based on the analysis of the best practices of the EGC, which can impact on CE, and using DEA. This approach can follow the city/region evolution and be adapted to the EGC evaluation parameters in order to understand the main characteristics that can contribute to improve governance approaches and help to foster CE into all the cities/regions' ecosystem.

Abstract
Abstract The increased adoption of IoT and analytical devices, telecommunication systems, smart sensors, and diverse information systems have brought significant impacts to Industry 4.0. To respond to this rapid technological evolvement is essential to ensure a proper articulation of HEI (Higher Education Institutions) with industry, to better prepare graduates with the appropriate competencies and technological capabilities within the digital transition of the industry. This paper aims to present a research project developed in digital transformation amongst HEI students, in the Alto-Minho region disclosing the trigger points to increase the digital adoption and embedding of Industry 4.0 paradigm. The obtained results enabled to conclude an apparent low level of digital literacy, a lack of vision and awareness about the technology potentialities throughout industry activities, besides its use almost restricted to leisure and as study support, as well as lack on cybersecurity domain-specific competencies.