Percorrer por autor "Lucas, Pedro"
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- A Hybrid Application for Real-Time Air Quality MonitoringPublication . Silva, Jorge; Salgueiro, Pedro; Rato, Luis; Saias, José; Nogueira, Vitor; Lucas, Pedro; Araujo, Filipe; Silva, Catarina; Gil, Paulo; Cardoso, Alberto; Arrais, Joel; Ribeiro, Bernardete; Coutinho, DanielWith the raising concerns for the environment, interest in monitoring air quality is likely to increase in the near future. However, most data comes from a limited number of government-owned sensors, which can only capture a small fraction of reality. Improving data coverage thus involves reducing the cost of sensors and make data widely available. For this, we will use a very high number of low-cost sensors as the basis for an air quality monitoring platform, capable of collecting, aggregating, storing and displaying data. This platform will use stream-based technologies capable of scaling for large numbers of sensors and users. The resulting NanoSen-AQM platform will provide vast amounts of air quality data to the public, with the aim of improving public health.
- Leadership Development in Undergraduate Nursing Students: A Scoping ReviewPublication . Costa, Patrícia; Pereira de Sousa, Joana; Nascimento, Tiago; Cruchinho, Paulo; Nunes, Elisabete; Gaspar, Filomena; Lucas, PedroBackground: Leadership is present at all levels of nursing and is essential to ensure the continuous improvement of nursing practice environments and the quality of the care provided to patients. This reality, coupled with the growing complexity of today’s health contexts, emphasises the importance of promoting the development of leadership skills in undergraduate nursing students, thus training nurses who are capable of acting as leaders and agents of change. To this end, a scoping review was carried out to map the available scientific evidence on the development of leadership in undergraduate nursing students. Methods: The scoping review was conducted according to two systematic review guidelines. The searches were conducted across a total of five databases for published studies and two databases for the unpublished/grey literature. The data extraction and analysis were performed by two reviewers, who independently screened and extracted data from the selected studies. Results: This review included 25 articles, and four thematic categories were identified—students’ perceptions of leadership; strategies to train leaders in nursing; the evaluation of leadership development; and conceptual models and curricula. The main conclusions highlight the need to reformulate existing curricula, the importance of integrating student-centred pedagogical approaches to promote leadership development, the impact that evaluating leadership development has on the whole process, contributing to the construction of an identity as a leader, and the need for it to be done in a structured and progressive way. Conclusions: The teaching of leadership should be promoted from the beginning of training, in a transversal, continuous, consistent, sustained, and articulated way, incorporating different disciplines, because only in this way will it be possible to train competent nurse leaders who are capable of acting in today’s complex and dynamic health contexts.
- An Online Platform For Real-Time Air Quality MonitoringPublication . Silva, Jorge; Salgueiro, Pedro; Rato, Luis; Saias, Jose; Nogueira, Vitor; Lucas, Pedro; Araujo, Filipe; Silva, Catarina; Gil, Paulo; Cardoso, Alberto; Arrais, Joel; Ribeiro, Bernardete; Coutinho, DanielThe interest in the quality of air is likely to increase, as the public concern for health and environmental issues is on the rise. So far, most data available comes from a small numbers of government-owned sensors, lacking a wide coverage of the entire reality. Improving the amount of data available thus involves reducing the cost of sensors and make their readings accessible to the public. The NanoSen-AQM project aims to do precisely that. Create and use vast numbers of low-cost nano-sensors, to make their data accessible for the public. To achieve such an ambitious goal, the project will use state-of-the-art techniques from Machine Learning and mobile and web development frameworks. As a result, the NanoSen-AQM platform should provide free access to the public and low-cost of entry for sensor owners willing to share their data.