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http://dx.doi.org/10.1001/jamanetworkopen.2024.39281 | DOI Listing |
Turk J Pediatr
September 2025
Department of Pediatrics, Faculty of Medicine, Afyonkarahisar Health Sciences University, Afyonkarahisar, Türkiye.
Background: With the development of technology, easier access to the internet and its excessive use have led to problematic internet use (PIU). The prevalence of PIU and its association with lifestyle behaviors in adolescents have become subjects of increasing academic interest. This study aimed to determine the prevalence of PIU among Turkish high school students and to investigate its association with sleep, physical activity and dietary habits.
View Article and Find Full Text PDFChem Biodivers
September 2025
Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, Republic of Korea.
One of the most significant problems facing the scientific community in the 21st century is diabetes mellitus. There is an urgent need to create new powerful compounds that can fight this terrible disease because the number of instances of diabetes and drug-resistant diabetes is rising. We have synthesized a novel series of thiazole-derived thiadiazole-based Schiff base derivatives (1-10) in an effort to identify potential antidiabetic agents.
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science and Technology, Huaiyin Normal University, Huai'an, Jiangsu, China.
Previous studies have demonstrated that metric learning approaches yield remarkable performance in the field of kinship verification. Nevertheless, a prevalent limitation of most existing methods lies in their over-reliance on learning exclusively from specified types of given kin data, which frequently results in information isolation. Although generative-based metric learning methods present potential solutions to this problem, they are hindered by substantial computational costs.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Computer Science, COMSATS University Islamabad, Sahiwal, Pakistan.
The widespread dissemination of fake news presents a critical challenge to the integrity of digital information and erodes public trust. This urgent problem necessitates the development of sophisticated and reliable automated detection mechanisms. This study addresses this gap by proposing a robust fake news detection framework centred on a transformer-based architecture.
View Article and Find Full Text PDFBioinformatics
September 2025
Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Summary: Dynamic models represent a powerful tool for studying complex biological processes, ranging from cell signalling to cell differentiation. Building such models often requires computationally demanding modelling workflows, such as model exploration and parameter estimation. We developed two Julia-based tools: SBMLImporter.
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