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Background: Epidemiological surveys indicate an increasing incidence of type 2 diabetes mellitus (T2DM) among children and adolescents worldwide. Due to rapid disease progression, severe long-term cardiorenal complications, a lack of effective treatment strategies, and substantial socioeconomic burdens, it has become an urgent public health issue that requires management and resolution. Adolescent T2DM differs from adult T2DM.

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Background: As social media continue to grow as popular and convenient tools for acquiring and disseminating health information, the need to investigate its utilization by laypersons encountering common medical issues becomes increasingly essential.

Objectives: This study aimed to analyze the content posted in Facebook groups for Glucose-6-Phosphate Dehydrogenase (G6PD) deficiency and how these engage the members of the group.

Methods: This study employed an inductive content analysis of user-posted content in both public and private Facebook groups catering specifically to G6PD deficiency.

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Background: Plant-based dietary patterns are becoming increasingly popular due to environmental and health impacts, yet there are few studies exploring the relationship between plant-based dietary patterns and venous thromboembolism (VTE) in different genetic backgrounds.

Objectives: The aim of this study was to investigate how plant-based dietary pattern and genetic susceptibility independently or jointly affect VTE and its subtypes of pulmonary embolism and deep vein thrombosis.

Methods: A total of 183,510 participants who were White British ethnicity background and free of VTE at baseline in the UK Biobank were recruited, in consideration that the selection of genetic variants for VTE was based on results of White European individuals.

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Microorganisms, crucial for environmental equilibrium, could be destructive, resulting in detrimental pathophysiology to the human host. Moreover, with the emergence of antibiotic resistance (ABR), the microbial communities pose the century's largest public health challenges in terms of effective treatment strategies. Furthermore, given the large diversity and number of known bacterial strains, describing treatment choices for infected patients using experimental methodologies is time-consuming.

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Time series analysis is increasingly popular across scientific domains. A key concept in time series analysis is stationarity, the stability of statistical properties of a time series. Understanding stationarity is crucial to addressing frequent issues in time series analysis such as the consequences of failing to model non-stationarity, how to determine the mechanisms generating non-stationarity, and consequently how to model those mechanisms (i.

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