Browsing by Author "Rodrigues, R."
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- Fuzzy-Set QCA on Performance and Sustainability Determinants of Ports Supporting Floating Offshore Wind FarmsPublication . Caldeirinha, V.; Felício, J. A.; Pinho, T.; Rodrigues, R.The present study explores the relationship between the characteristics, performance, and sustainability of ports that will, in the future, support the logistical chains of new floating offshore wind farms, considering the crucial advancement and expansion of the offshore wind energy sector for the transition to a low-carbon economy. Through a detailed analysis, which includes international case studies in America and Europe utilizing expert interviews and quantitative methods through surveys, the importance of the location, new types of infrastructure and superstructure, and new planning and governance models for the performance and sustainability of ports that will be involved in this new energy industry is highlighted. Also, the context in which ports associated with floating wind turbines are located influences the performance and sustainability. This research employs Fuzzy-Set Qualitative Comparative Analysis (fsQCA), based on a survey of 22 European sector company experts, to emphasize the critical port characteristics for the performance and sustainability. This study reveals the significant contribution of supporting ports for the future floating offshore wind sector for the gross added value and the expansion of regional employment, and the need for new planning, construction, operation, and management models for ports instead of the traditional models applied to simple cargo loading and unloading ports, offering valuable new insights for port managers, policymakers, and academics. However, a future research trajectory with a more geographically diverse sample is suggested to enhance the applicability and generalizability of the results.
- Reclassification of the intermediate group classified according to heartscore taking in considertaion individual genetic predisposition to coronary artery diseasePublication . Mendonça, M.; Pereira, A.; Rodrigues, R.; Neto, M.; Sousa, A.C.; Freitas, S.; Freitas, C.; Freitas, A.I.; Borges, S.; Palma dos Reis, R.Introduction: Cardiovascular risk stratification has included traditional cardiovascular risk factors (TRF) including tobacco, cholesterol and blood pressure adjusted to age and sex. The utility of genetic risk scores (GRS) as predictors of cardiovascular risk remains inconclusive. Objective: We intended to evaluate the ability of a multilocus GRS within the intermediate risk subgroup, defined by the European Heart score, to add predictive power for the association with coronary artery arterial disease (CAD). Methods: After applying European SCORE (ES) stratification to a total population of 2703 Portuguese individuals, 639 individuals with 59.0 ± 4.3 years were considered to be at intermediate risk subgroup (2 Results: GRS was an independent predictor for CAD (OR=2.411; p<0.0001). Diabetes mellitus (OR=3.196;p<0.0001), arterial hypertension (OR=2.201; p=0.003) and smoking (OR=3.148; p<0.0001) were also significantly associated with CAD. AUC increased from 0.694 to 0.734 after adding GRS to TRF. When discriminated by tertiles of GRS, the AUC for TRF was maximum for the 2nd tertile GRS [AUC (TRF)=0.734] and lower for the 1st and 3rd tertiles (AUC =0.673 and AUC =0.671, respectively). NRI showed better increase in the intermediate risk subgroup with a 35.2% interpreted as the roportion of patients reclassified to a more appropriate risk category, and 29.4% on the lower risk. Conclusion: In our population, the GRS increased the predictive value of TRF in the subgroup of patients at intermediate risk by the European Score. The predictive value of TRF is lower in patients with higher GRS. In this subgroup, the inclusion of genotyping may be considered for better stratification of cardiovascular risk.