The past decade has seen an increasing number of applications of deep learning (DL) techniques to biomedical fields, especially in neuroimaging-based analysis.Such DL-based methods are generally data-intensive and require a large number of training instances, which might be infeasible to acquire from a single acquisition site, especially for data,
BACKGROUND:New HIV infections in men who have sex with men (MSM) have increased in Switzerland since 2000 despite combination antiretroviral therapy (cART).The objectives of this mathematical modelling study were: to describe the dynamics of the HIV epidemic in MSM in Switzerland using national data; to explore the effects of hypothetical preventio
Introduction Various intracanal medicaments have been used in cases of chronic apical periodontitis for appropriate disinfection of the root canal system to eliminate microbes especially from the inaccessible areas.Calcium hydroxide is the most common intracanal medicament available in various forms, but its effectiveness with or without iodoform u
Type 2 diabetes mellitus (T2DM) patients are highly susceptible to developing dementia, especially for those with mild cognitive impairment (MCI), but its underlying cause is still unclear.In this study, we performed a battery of neuropsychological tests and high-resolution sagittal T1-weighted structural imaging to explore how T2DM affects white m
This work analyzed the 3.5 land surface scheme coupled in the Regional Climate Model RegCM4 (RegCLM), seeking to identify the impact of this coupling in the climatology and in the interannual variability, mainly in the Southeast of Brazil.The climatology analysis showed that the RegCLM, for DJF, is more humid than the set of observations used, over