Publications by authors named "D Vergara"
Background: Poverty is a key social determinant of mental health among forcibly displaced persons. This study aimed to design and pilot test a strategy to integrate existing mental health and economic inclusion interventions for displaced families in Ecuador.
Methods: We conducted a series of qualitative interviews (n = 30), focus groups (n = 6), and workshops (n = 3) to develop a set of strategies for integrating cross-cutting and focused mental health and psychosocial support (MHPSS) strategies into an existing economic inclusion program for displaced families in Quito.
Article Synopsis
- Lipotoxicity is harmful for metabolic health due to excess fatty acids, with palmitic acid (PA) causing more damage compared to oleic acid (OA) in liver cells.
- The study found that PA induces lipotoxicity, ER stress, and inhibits autophagy, leading to lower levels of DGAT1, an enzyme crucial for fat synthesis, while OA does not have the same effect.
- The research suggests that targeting DGAT1 and using PPARα agonists could offer new therapeutic strategies to mitigate the negative impacts of palmitic acid on liver health.
Article Synopsis
- Cannabis sativa is a versatile plant with many therapeutic benefits, and scientists want to study its different types to help create better treatments for people.
- A study in Colombia looked at 156 cannabis plants and found a lot of differences in the compounds they produce, especially in various climates.
- The research shows that Colombia could be an important place for growing cannabis with unique qualities, which could help in both medicine and recreational use around the world.
Introduction: With traditional lecture-based learning methods often criticized for their limited ability to foster critical thinking and cognitive engagement, problem-based learning (PBL) has emerged as a promising alternative. This research investigates the impact of PBL on student learning outcomes, specifically focusing on the development of higher-order thinking skills, communication, growth mindset, and metacognitive abilities.
Methods: PBL was implemented in an undergraduate public health course at a private university in the southeast US.
Article Synopsis
- Innovation in medical imaging using AI and machine learning requires thorough data collection and algorithm improvements, along with careful evaluation of factors like bias and trustworthiness.
- Successfully integrating AI/ML into clinical settings is challenging and hinges on addressing issues in model design, development, regulatory compliance, and stakeholder collaboration.
- Tackling these complexities is essential not only for overcoming current obstacles but also for unlocking new opportunities in the field of radiology.