Browsing by Issue Date, starting with "2025-11-04"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- Effects of Strength Training on the Quality of Life of Older Adults with Sarcopenia: A Systematic Review of Randomized Controlled TrialsPublication . Fernandes, Luís; Antunes, Raul; Matos, Rui; Monteiro, Diogo; Amaro, Nuno; Nuno Couto; Jacinto, MiguelObjective: The objective of this systematic review is to analyze the effects of strength training on the quality of life (QoL) of older adults diagnosed with sarcopenia, contributing to a better understanding of the impact of this intervention on the physical and psychological well-being of this population. Methods: A systematic review was conducted following the PRISMA guidelines. The search was conducted on the Web of Science, Scopus, and PubMed databases, including studies published until 2025. Randomized controlled trials that applied strength training interventions in individuals aged 60 years or older with sarcopenia were included, evaluating QoL as the primary outcome. Data screening, extraction, and analysis were performed by two independent investigators. Results: Three studies from the United Kingdom, Saudi Arabia, and China were included, with interventions ranging from 6 to 16 weeks. The results showed that strength training can improve the quality of life of older adults with sarcopenia (instruments: SarQoL, SF-36, WHOQOL-BREF), being more effective in high-intensity and supervised interventions. One of the studies revealed significant improvements (p < 0.001), while the others showed non-significant increases. Conclusions: Strength training proved to be a promising intervention for promoting improvements in the quality of life of older adults with sarcopenia, especially when performed at adequate intensity and with regular monitoring. However, further studies with larger samples, long-term follow-up, and standardization of QoL assessment tools are needed.
- ANALYSIS OF THE REAL IMPACT OF SOCIAL MEDIA AND ONLINE REPUTATION TO IMPROVE MARKETING STRATEGIES IN A HOTEL CHAINPublication . Berrazueta, Juan Andres Coba; Craveiro, Olga Marina Freitas; Sousa, Márcia Cristina Santos ViegasThe main objective of this research is to design and implement a comprehensive framework that integrates text mining, sentiment analysis, and Business Intelligence (BI) for the analysis of hotel reviews. The study aims to provide hotel managers with a systematic and automated tool capable of transforming unstructured textual data into actionable insights that improve customer satisfaction, enhance online reputation, and support data-driven marketing and operational strategies. This thesis investigates the integration of sentiment analysis, text mining, and BI frameworks as a strategic tool for online reputation management in the hospitality industry. The study combines a systematic literature review, conducted under the PRISMA guidelines, with an empirical project developed according to the CRISP-DM process model. The dataset used comprises all the positive and negative reviews from multiple sources—including Google Reviews, Booking.com, Tripadvisor, and physical surveys—covering five hotels in Portugal during 2023 and 2024. The methodology involved a pipeline of data preparation, including cleaning, deduplication, translation into European Portuguese, normalization, stemming, and lemmatization. Supervised machine learning models, particularly Logistic Regression and Naive Bayes, were implemented and optimized through techniques such as SMOTE and threshold adjustment, demonstrating high accuracy and strong recall for negative comments. Additionally, topic modeling (LDA and NMF) and semantic categorization were applied to extract latent themes and classify reviews into business-relevant categories. Results were operationalized through interactive dashboards in Power BI, which enabled the visualization of satisfaction levels, temporal trends, word frequencies, and category distributions across hotels. These dashboards provided to hotel managers with actionable insights to detect strengths, weaknesses, and seasonal patterns in customer perception. The system was further enhanced with an automated scraping pipeline for Google Reviews, ensuring continuous integration of updated customer feedback. The findings confirm that sentiment analysis and BI tools represent a powerful combination for transforming unstructured textual data into actionable insights. The study demonstrates the feasibility, scalability, and strategic relevance of this approach, while also highlighting limitations related to data availability and semantic overlaps. Ultimately, this work contributes to advancing data-driven decision-making in the hospitality industry.
- Pseudophakic macular edema: Review and new insights on treatment and prophylaxisPublication . Campos, António; Mota, Carolina; Cruz, Henrique; Sousa, João Paulo; Gittinger Jr., JohnPseudophakic cystoid macular edema (PCME) is a common complication of cataract surgery that may rarely result in vision loss. In most cases PCME resolves spontaneously, which makes it challenging to establish the efficacy of therapeutic and prophylactic interventions. Although no consensus exists regarding management or prevention, most surgeons advocate prophylaxis primarily for high-risk eyes. Nevertheless, the costs associated with preventive measures have risen substantially in recent years. In this review, we summarize the current evidence on the epidemiology, pathogenesis, diagnosis, risk factors, treatment, and prophylaxis of PCME, to provide a comprehensive understanding of its clinical indications and the cost-effectiveness of available strategies.