Preschool teachers’ ideas about practices to promote peer relations: Using Q methodology to determine viewpoints

An internationally accepted definition of early childhood inclusion includes the right to achieve a sense of belonging and membership, positive social relationships, and friendships. Although Portuguese preschool curriculum guidelines value childchild interactions as an outcome by itself and as means to achieving other development and learning outcomes it does not explicitly mention social participation indicators. Additionally, information is lacking on Portuguese preschool teachers’ beliefs, priorities, and practices specifically related to the support of peer relations. This study was developed in the scope of the project Enhancing peer relationships: Preschool teachers' ideas and practices. One of its goals is to understand Portuguese preschool teacher’s ideas about what is important in supporting peer interactions, relationships, and group membership, for children with and without disabilities. To pursue this goal Q methodology was applied. We developed a Q sample consisting of 74 items that reflect a range of possible interventions targeted at enhancing social inclusion and peer interactions and relationships. The P sample was composed by 43 preschool teachers and their individual Q sorts were subjected to principal components analyses (PCA) followed by varimax rotation. A seven-component solution, explaining 55.5% of the variance, was considered the starting point for the decision-making process on the number of components to be considered as the best solution. Both statistical and conceptual criteria are being used to determine the final number of viewpoints. This presentation describes this decision-making process and the results will be discussed according to their implications for the global project.info:eu-repo/semantics/publishedVersio

Chiral Mo and W Complexes bearing Oxazoline-Cyclopentadienyl Ligands

Trabalho apresentado em 3rd EuCheMS Chemistry Congress, 29 August - 2 September 2010, Nürnberg, GermanyN/

Impact of wood combustion in fireplaces on indoor air quality

Trabalho apresentado em 7th Iberian Meeting Aerosol Science and Technology – RICTA19, 2019, Lisbon, Portugalinfo:eu-repo/semantics/publishedVersio

The impact of COVID-19 confinement measures in the Air Quality in an urban-industrial zone in Portugal

Comunicação oral apresentada em 25th International Clean Air and Environment Conference CASANZ 2021, 17-21 de maio 2021, onlineThis work aims to evaluate the temporal evolution of the concentrations of pollutants PM10, NO2 and O3, from 2001 to 2020, and to evaluate the impact of the COVID-19 pandemic on the levels of these atmospheric pollutants, in an urban-industrial zone (Paio Pires-Seixal, Portugal). The results showed that a significant improvement in air quality resulted from the large restriction of anthropogenic activities that occurred due to the pandemic, namely the March-May 2020 lockdown. The mean concentrations of PM10, NO2 and O3 in 2020 were compared with the average concentrations measured from 2014 to 2019. The most expressive reduction in NO2 (-43.9%, p=0.000) was found in April 2020, when a very expressive PM10 reduction was also registered (- 40.0%, p=0.000) and significant reductions of both pollutants were found in the months thereafter.N/

Exposure to fine aerosols in sleeping environments of Lisbon dwellings

Trabalho apresentado em European Aerosol Conference 2023 (EAC2023), September 3−8, 2023, Malaga, SpainN/

Citizens’ perception on air quality in Portugal: how concern motivates awareness

This study aimed to understand the knowledge of Portuguese citizens about air quality and the extent to which the concerns about specific environmental problems can motivate their acquaintance of information. Moreover, this study also allowed to understand which information about air quality needs further dissemination to provide the citizens with all the available tools and the correct knowledge. For this, a national online survey about air quality perception was conducted, where 1131 answers were obtained and two different populations were compared: the general population and a sub-population from an urban-industrial area of Lisbon metropolitan area that had experienced frequent air pollution events in the past. Air pollution was considered the environmental topic of higher concern among this sub-population (61.4%), while in the general population it ranked thirdly (27.4%). Generally, the sub-population showed higher knowledge about air quality than the general population, with 61% being able to identify at least one air pollutant. The perception of the local air quality was also very different between populations, with 61% of the sub-population considering it poor or very poor, while only 14% of the general population had the same perception, which highlights the different levels of concern between populations. A weak knowledge about air pollutants (50% of the general population could not identify any air pollutant) and an erroneous perception of the contribution of the different pollution sources to air quality levels were found. More than 50% of the respondents of both populations were considered to not have enough information regarding the air quality in their area of residence, with the national air quality database being unknown to almost everyone. Overall, strong efforts should be made to increase the awareness about the importance of air quality, which may promote a higher acceptance of the implementation of future actions to improve air quality.info:eu-repo/semantics/publishedVersio

Chemical characterization of atmospheric particulate matter and source apportionment in an urban-industrial area of the Lisbon Metropolitan Area (Portugal)

Trabalho apresentado em 11th International Aerosol Conference (IAC2022), 4-9 de setembro 2022, Atenas, GréciaN/

Distribution-Based Categorization of Classifier Transfer Learning

Transfer Learning (TL) aims to transfer knowledge acquired in one problem, the source problem, onto another problem, the target problem, dispensing with the bottom-up construction of the target model. Due to its relevance, TL has gained significant interest in the Machine Learning community since it paves the way to devise intelligent learning models that can easily be tailored to many different applications. As it is natural in a fast evolving area, a wide variety of TL methods, settings and nomenclature have been proposed so far. However, a wide range of works have been reporting different names for the same concepts. This concept and terminology mixture contribute however to obscure the TL field, hindering its proper consideration. In this paper we present a review of the literature on the majority of classification TL methods, and also a distribution-based categorization of TL with a common nomenclature suitable to classification problems. Under this perspective three main TL categories are presented, discussed and illustrated with examples

Citizens’ involvement in air biomonitoring with strawberry plants

Trabalho apresentado em EUDRES Citizen Science Conference, 28-29 de junho 2023, Barreiro, PortugalN/

Citizens involvement in the assessment of atmospheric contamination in an industrial area

Trabalho apresentado em 25th International Clean Air and Environment Conference CASANZ 2021, 17-21 de maio 2021, onlineN/