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Low-cost and scalable machine learning model for identifying children and adolescents with poor oral health using survey data: An empirical study in Portugal.
PLoS One
January 2025
Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal.
This empirical study assessed the potential of developing a machine-learning model to identify children and adolescents with poor oral health using only self-reported survey data. Such a model could enable scalable and cost-effective screening and targeted interventions, optimizing limited resources to improve oral health outcomes. To train and test the model, we used data from 2,133 students attending schools in a Portuguese municipality.
View Article and Find Full Text PDFYoung, female and scientist: exploring barriers, challenges and opportunities.
FEBS Open Bio
January 2025
FEBS Open Bio Editorial Office, Cambridge, UK.
Different societal, systemic and personal barriers exist at various stages along a female researcher's career that can potentially undermine their success. The equation for women to reach higher positions in STEM is a multivariable one, and while there has been considerable progress towards addressing some of these compared with the past, current solutions are inadequate and do not address all facets. Here, we asked female winners of the FEBS Open Bio poster prize about their experiences regarding barriers they have faced at the predoctoral and postdoctoral stages, their opinions on how these can be addressed and their advice to new students entering a PhD degree.
View Article and Find Full Text PDFAn open chat between Prof Asifa Akhtar and Klaudia Jaczynska.
FEBS Open Bio
January 2025
FEBS Open Bio Editorial Office, Cambridge, UK.
To mark the International Day of Women and Girls in Science 2025, we invited Prof Asifa Akhtar, Vice President of the Max Planck Society's Biology and Medicine section, Director at the Max Planck Institute of Immunobiology and Epigenetics in Freiburg, Honorary Professor at the Albert Ludwigs University and recipient of the 2025 FEBS | EMBO Women in Science Award to meet and chat with Klaudia Jaczynska, final year PhD student at Jose Rizo's laboratory in UT Southwestern Medical Center, Dallas, and 2024 FEBS Open Bio Article Prize winner. We invited them to talk about challenges limiting equal representation in science, technology, engineering and mathematics, initiatives to foster supportive environments as a research institute and the importance of highlighting diverse examples of success.
View Article and Find Full Text PDFMetabolic Scaling: Exploring the Relation Between Metabolic Rate and Body Size.
Adv Physiol Educ
January 2025
Emeritus, Department of BioSciences, Rice University, Houston, Texas.
We present an alternative to the traditional classroom lecture on the topics of metabolic scaling, allometric relationships between metabolic rate (MR) and body size, and reasons for rejecting Rubner''s surface "law," concepts that students have described as challenging, counterintuitive, and/or mathematical. In groups, students work with published data on MR and body size for species representing all five vertebrate groups. To support the exercise, we developed a worksheet that has students define the concept in their own words, compare different measures of MR, and evaluate plots of MR and mass-specific MR versus body mass for both homeotherms and poikilotherms.
View Article and Find Full Text PDFEvaluation of Information Provided by ChatGPT Versions on Traumatic Dental Injuries for Dental Students and Professionals.
Dent Traumatol
January 2025
Department of Pediatric Dentistry, Dentistry Faculty, Bolu Abant İzzet Baysal University, Bolu, Turkey.
Background/aim: The use of AI-driven chatbots for accessing medical information is increasingly popular among educators and students. This study aims to assess two different ChatGPT models-ChatGPT 3.5 and ChatGPT 4.
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