Publications by authors named "P B Branco"
The Cardiorenal Program (CRP), implemented within a specialized heart failure and kidney disease clinic, encompasses a multidisciplinary approach to the management of patients with heart failure and kidney disease. It focuses on optimizing therapy and improving patient outcomes. The CRP includes a range of services, including clinical evaluation, diagnostic testing, medical treatment, and patient education.
View Article and Find Full Text PDFBrewers' spent grain (BSG), the major by-product of the brewery industry, has high nutritional value, making it suitable for upcycling into products such as healthy, and sustainable cookies. Nonetheless, the incorporation of BSG in cookies can impact their quality, given the increased fiber and protein content. This work explored the effect of replacing wheat flour with BSG at 50% and 75% in cookie formulations, focusing on physical, chemical, and sensory properties.
View Article and Find Full Text PDFBackground/objectives: Nutrition labels are an effective tool for providing nutrition information. Additionally, nutrient composition is one of the most dictating factors for athletes' food choices; thus, we aimed to evaluate the use and perceptions regarding the nutrition labels implemented for the meals served at the 2022 European Athletics Championships (EAC).
Methods: During mealtime at the team restaurants, participants completed an online self-administered questionnaire.
Organized sports are governed by specific rules which aim to create or preserve fair play. An unfair advantage can be obtained by the use of specific substances or methods, also referred to as doping. The World Anti-Doping Agency (WADA) leads the international doping-free sport movement and annually publishes the List of Prohibited Substances and Methods (List), that is used by most sport federations and organizations around the world.
View Article and Find Full Text PDFArticle Synopsis
- The study investigates how different resampling techniques combined with machine learning algorithms affect the prediction of 30-day mortality in a clinical dataset, addressing challenges of class imbalance.
- Existing methods like random under-sampling and SMOTE showed some improvement in specific contexts, but overall effectiveness varied and could even harm model performance.
- The findings emphasize the need for further research to enhance prediction models for better results in clinical applications.