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Percorrer CIMA por Objetivos de Desenvolvimento Sustentável (ODS) "09:Indústria, Inovação e Infraestruturas"
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- Early Pleistocene (1.94–1.46 Ma) records for the upper mediterranean outflow Water branch reveal low and high latitude climate influencesPublication . Voelker, Antje; Ducassou, Emanuelle; Balestra, Barbara; Flores, Jose Abel; Acton, Gary D.; Richter, Carl; Xuan, Chuang; Lofi, Johanna; Alberto, Ana; Kuhnert, Henning; Zarikian, Carlos A. AlvarezThe Mediterranean Outflow Water (MOW), modified by paleoceanographic conditions and tectonic processes, played a significant role in the formation of sediments drifts along the Iberian Margin. Using sediment samples from IODP Hole U1387C, we explore the Early Pleistocene history of the upper MOW core above the central Faro Drift in the Gulf of Cadiz. The time series of benthic foraminifer stable isotope and grain size related data have a rigorous stratigraphic framework consisting of nannofossil biostratigraphy and paleomagnetic and delta 18O stratigraphy. The paleoenvironmental records are supplemented by natural gamma ray downhole logging data. Above the hiatus associated with the youngest dolostone, sandy to muddy contourite sedimentation started at 1.946 Ma, i.e., within Marine Isotope Stage (MIS) 74, at IODP Site U1387, slightly younger than at IODP Site U1389. Formation of contourite layers, reflected in the sortable silt and sand percentage records, strongly reacted to precession forcing, including semi- and quarter-precession cycles. The majority of the contourite beds developed during stadial (colder) climate periods, like previous observations from the Early to Late Pleistocene. Formation of contourite layers within MIS 53, MIS 55 and MIS 65, however, appear to be linked to the prevailing atmospheric conditions over North Africa. Periods of poor ventilation in the upper MOW were linked to insolation maxima and reduced ventilation in the Mediterranean Sea. Here, MIS 51 presents a peculiar case as poor ventilation reached from the surface to the lower North Atlantic Deep Water range, reflecting unique interglacial conditions that merit future exploration.
- Factors influencing access to advanced sanitation service level and drinking-water quality in healthcare facilities in Addis Ababa, Ethiopia: a convergent sequential studyPublication . Retta, Mulumebet Tadesse; Gari, Sirak Robele; Alemu, Bezatu Mengistie; Ambelu, ArgawThis study investigates factors influencing access to advanced sanitation services and drinking water quality in healthcare facilities (HCFs) in Addis Ababa, Ethiopia. Despite the critical role of sanitation and safe water in preventing healthcareassociated infections, many facilities face significant challenges. A convergent sequential study was conducted in 382 healthcare facilities, which involved observations of sanitation facilities, interviews with facility managers, and water quality tests of 382 samples. Additionally, five water samples from reservoirs and distributors were collected, and eight key informant interviews were conducted purposively. In this investigation, only 14.5% of healthcare facilities had advanced sanitation service, while 23.2% had basic sanitation services. Over half (62.3%) of the facilities provided limited sanitation services. Additionally, 22.7% of water samples tested positive for enterococci, 26% for Escherichia coli, 35% for fecal coliforms, and 38.8% for total coliforms. All samples analyzed for fluoride, conductivity, and total dissolved solids (TDS) were below permissible limits, except for 6.6% of the samples that exceeded the pH level of 8.5. In contrast, all water samples from reservoirs and distributors were free from bacterial contaminations, and their fluoride, conductivity, and TDS levels were within the standard. Factors such as having infection prevention committee (IPC)(AOR = 2.8, 95% CI: 1.07-7.52), trained managers on sanitation safety plan (AOR = 2.96, 95% CI: 1.10-7.94), managers trained in infection prevention (AOR = 3.6, 95% CI: 1.25-10.48), having sanitation standards (AOR = 3.5, 95% CI: 1.06-11.64), availability of sufficient budget for sanitation services (AOR = 3.2, 95% CI: 1.14-9.15), having specific annual sanitation plan (AOR = 3.6, 95% CI: 1.52-8.58), using updated WASH guidelines (AOR = 3.4, 95% CI: 1.05-11.20), absence of a sanitation safety plan (AOR = 0.22, 95% CI: 0.05-0.91), lack of regular monitoring and evaluation (AOR = 0.24, 95% CI: 0.07- 0.83), and managers who did not involve in leading renovation of WASH infrastructure (AOR = 0.56, 95% CI: 0.35-0.70) were significantly associated with access to advanced sanitation service level. Access to advanced and basic sanitation services is low in HCFs of Addis Ababa. Several core factors affecting access to advanced sanitation service level has been identified. Many water samples from healthcare facilities were contaminated by bacteria. Enhancing training programs for healthcare managers and securing adequate funding are critical steps toward improving sanitation and water quality.
- Gamification on mathematics engagement and motivation in secondary school and higher education: a systematic review and meta-analysisPublication . Ratinho, Elias; Figueiredo, Mauro; Estêvão, Maria Dulce da Mota Antunes de Oliveira ; Faísca, Luís; Martins, CátiaThis systematic review and meta-analysis examined the effects of gamification on students’ motivation and engagement in mathematics at the secondary and higher education levels. A literature search (April 2025) followed by an updated search (November 2025) across ten databases identified 45 studies for qualitative synthesis and 11 for meta-analysis. The review followed PRISMA 2020 guidelines with a pre-registered protocol, and study quality was appraised with the Mixed Methods Appraisal Tool. Meta-analytic results using a three-level Correlated and Hierarchical Effects model with robust variance estimation showed a significant small-to-moderate positive effect on motivation (g = .383, 95% CI [.11, .66], p = .0218). Motivation was assessed more consistently than engagement that could not be included in the meta-analysis due to the lack of validated measures. The systematic review indicates that gamification supports motivation and engagement, with only four studies reporting negative effects. Most interventions used digital platforms (e.g., Kahoot!; Classcraft) and common game elements such as points, leaderboards and instant feedback. Overall, gamification appears promising for enhancing motivation and engagement in mathematics when designs are aligned with students’ needs, balancing competition with mastery and cooperation. Therefore, educators should limit excessive competition and prioritize personal progress and cooperative tasks that foster social interaction. Future studies should employ validated measures, larger samples, and examine both motivation and engagement to strengthen the evidence base and guide effective implementation in education.
- Spectral unmixing of coastal dune plant species from very high resolution satellite imageryPublication . Kombiadou, Katerina; Costas, Susana; Gallego-Fernández, Juan Bautista; Yang, Zhicheng; Serrão Bon de Sousa, Maria Luísa; Silvestri, SoniaWhile improvements in the spectral and spatial resolution of satellite imagery have opened up new prospects for large-scale environmental monitoring, this potential has remained largely unrealised in dune ecogeomorphology. This is especially true for Mediterranean coastal dunes, where the highly mixed and sparse vegetation requires high resolution satellites and spectral unmixing techniques. To achieve this aim, we employed random forest regressors to predict the fractional cover of dune plant species in two of the sandy barriers of Ria Formosa (S. Portugal) from WorldView-2 imagery (June 2024). The algorithm, tested with spatially upscaled multispectral drone data and satellite imagery, detected the fractional cover of major species (most abundant classes and bushy vegetation) with reasonable to very good accuracy (coefficient of determination, CoD: 0.4 to 0.8) for the former and reasonable to good accuracy (CoD: 0.4 to 0.6) for the latter. Additional tests showed that (a) including the distance to the shoreline can increase model accuracy (CoD by ~0.1); (b) the grouping of species resulted in an insignificant increase in model skill; and (c) testing over independent dune plots showed generalisation beyond the training set and low risk of overfitting or noise. Overall, the approach showed promising results for large-scale observations in highly mixed coastal dunes.