[The emancipatory perspective of health literacy in Brazil: contributions from the Freirean thought to knowledge translation regarding a global concept].

This article seeks to reveal the potential for applying key principles of Freirean pedagogy for the effective translation of knowledge and practices associated with the concept of health literacy followed worldwide, based on a critical and emancipatory perspective. It starts from the observation that the process of adopting the concept in Brazil has been more utilitarian than critical, with initiatives predominantly focused on the translation and use of instruments to assess health literacy among population groups. In doing so, this approach has overlooked the academic contributions, practical actors, and social movements in various regions of the country, regarding the application of principles and values of Paulo Freire's thought for the emancipatory promotion of health for individuals and population groups.

Comparing SMILES and SELFIES tokenization for enhanced chemical language modeling.

Life sciences research and experimentation are resource-intensive, requiring extensive trials and considerable time. Often, experiments do not achieve their intended objectives, but progress is made through trial and error, eventually leading to breakthroughs. Machine learning is transforming this traditional approach, providing methods to expedite processes and accelerate discoveries.

How the "Olive Oil Polyphenols" Health Claim Depends on Anthracnose and Olive Fly on Fruits.

Olive anthracnose, caused by fungi, and the olive fruit fly are, respectively, the most important fungal disease and pest affecting olive fruits worldwide, leading to detrimental effects on the yield and quality of fruits and olive oil. This study focuses on the content of hydroxytyrosol (HYT) and its derivatives (the "olive oil polyphenols" health claim) in olive oils extracted from fruits of 'Galega Vulgar' and 'Cobrançosa' cultivars, naturally affected by olive anthracnose and olive fly. The olives, with different damage levels, were harvested from organic rainfed orchards, located in the center of Portugal, at four harvest times over three years.

Health literacy in ChatGPT: exploring the potential of the use of artificial intelligence to produce academic text.

The aim of this study was to identify and analyze the main constituent elements of text generated by ChatGPT in response to questions on an emerging topic in the academic literature in Portuguese - health literacy - and discuss how the evidence produced can contribute to improving our understanding of the limits and challenges of using artificial intelligence (AI) in academic writing. We conducted an exploratory descriptive study based on responses to five consecutive questions in Portuguese and English with increasing levels of complexity put to ChatGPT. Our findings reveal the potential of the use of widely available, unrestricted access AI-based technologies like ChatGPT for academic writing.