Browsing by resource type "contribution to journal"
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- A Fish-Based Tool for the Quality Assessment of Portuguese Large RiversPublication . Faro, António Tovar; Ferreira, Maria Teresa; Oliveira, João ManuelMultimetric indices play a pivotal role in assessing river ecological quality, aligning with the European Water Framework Directive (EU WFD) requirements. However, indices developed specifically for large rivers are uncommon. Our objective was to develop a fish-based tool specifically tailored to assess the ecological quality in Portuguese large rivers. Data were collected from seven sites in each of three Portuguese large rivers (Minho, Guadiana, and Tagus). Each site was classified using an environmental disturbance score, combining different pressure types, such as water chemistry, land use, and hydromorphological alterations. The Fish-based Multimetric Index for Portuguese Large Rivers (F-MMIP-LR) comprises four metrics: % native lithophilic individuals; % alien individuals; % migrant individuals; and % freshwater native individuals, representing compositional, reproductive, and migratory guilds. The index showed good performance in separating least- and most-disturbed sites. Least-disturbed sites were rated ‘high’ or ‘good’ by F-MMIP-LR, contrasting with no such classification for most-disturbed sites, highlighting index robustness. The three rivers presented a wide range of F-MMIP-LR values across the gradient of ‘bad’ to ‘high’, indicating that, on a large spatial extent, the biological condition was substantially altered. The F-MMIP-LR provides vital information for managers and decision-makers, guiding restoration efforts and strengthening conservation initiatives in line with the WFD
- The Impact of STEM Activities on the Interest and Aspirations in STEM Careers of 12th-Grade Portuguese Students in Science and Technology CurriculumPublication . Ribeirinha, Teresa; Baptista, Mónica; Correia, MarisaSocial cognitive career theory posits that career interests and decisions are influenced by individual, contextual, and behavioural factors. This research aims to assess the impact of Science, Technology, Engineering, and Mathematics (STEM) activities on students’ interest and aspirations in STEM careers. Additionally, the study aims to explore the critical factors that might shape students’ STEM career aspirations. The research used a quantitative approach, with pre- and post-test measures for a cohort of 191 Portuguese secondary school students, using the Career Interest Questionnaire (CIQ). The results showed that STEM activities increased the intentions of non-STEM students to pursue educational opportunities that could potentially lead to a scientific career. Males, in contrast to females, showed a significant increase in their intentions to pursue educational opportunities that could eventually lead to a scientific career. Furthermore, gender along with the personal goals and positive perceptions of STEM careers were identified as significant predictors of the students’ STEM career aspirations. These results highlight the critical role of STEM education in developing and sustaining students’ interest in STEM careers. Integrated STEM activities should be developed in the early stages of education to enhance students’ confidence in STEM and mitigate the gender gap.
- Similarity Index Values in Fuzzy Logic and the Support Vector Machine Method Applied to the Identification of Changes in Movement Patterns During Biceps-Curl Weight-Lifting ExercisePublication . Peres, A.B.; Almeida, T.A.F.; Massini, D.A.; Macedo,A.G.; Espada, M.C.; Robalo, R.A.M.;; Oliveira, Rafael; Brito, J.P.; Pessôa Filho, D.M.; Oliveira, RafaelBackground/Objectives: Correct supervision during the performance of resis tance exercises is imperative to the correct execution of these exercises. This study presents a proposal for the use of Morisita–Horn similarity indices in modelling with machine learning methods to identify changes in positional sequence patterns during the biceps-curl weight-lifting exercise with a barbell. The models used are based on the fuzzy logic (FL) and support vector machine (SVM) methods. Methods: Ten male volunteers (age: 26 ±4.9 years, height: 177 ± 8.0cm, bodyweight: 86 ± 16kg)performedastandingbarbell bicep curl with additional weights. A smartphone was used to record their movements in the sagittal plane, providing information about joint positions and changes in the se quential position of the bar during each lifting attempt. Maximum absolute deviations of movement amplitudes were calculated for each execution. Results: A variance analysis revealed significant deviations (p < 0.002) in vertical displacement between the standard execution and execution with a load of 50% of the subject’s body weight. Experts with over thirty years of experience in resistance-exercise evaluation evaluated the exercises, and their results showed an agreement of over 70% with the results of the ANOVA. The similarity indices, absolute deviations, and expert evaluations were used for modelling in both the FL system and the SVM. The root mean square error and R-squared results for the FL system (R2 = 0.92, r = 0.96) were superior to those of the SVM (R2 = 0.81, r = 0.79). Conclusions: The use of FL in modelling emerges as a promising approach with which to support the assessment of movement patterns. Its applications range from automated detection of errors in exercise execution to enhancing motor performance in athletes.