Abstract Social media stands as a crucial information source across various real-world challenges.Platforms like Twitter, extensively used by news outlets for real-time updates, categorize news via hashtags.These hashtags act as pivotal meta-information for linking tweets to underlying themes, yet many tweets lack them, posing challenges in topic s
The aim of the study was to investigate how phase angle (PhA) is associated with subtotal and lumbar spine bone mineral density [BMD], lean soft tissue mass [LSTM], total body fat mass, android and gynoid in children and adolescents with HIV according to sex.A cross-sectional study was conducted in Florianópolis, Brazil, involving 64 children and
Objectives To examine i) the use of mobile apps and fitness trackers in adults during the COVID-19 pandemic to support health behaviors; ii) the use of COVID-19 apps; iii) associations between using mobile apps and fitness trackers, and health behaviors; iv) differences in usage amongst population subgroups.Methods An online cross-sectional survey
Abstract Effective urban planning and management rely on accurate land cover mapping, which can here be achieved through the combination of remote sensing data and machine learning algorithms.This study aimed to explore and demonstrate the potential benefits of integrating Sentinel-1 SAR and Sentinel-2 MSI satellite imagery for urban land cover cla
This paper presents an estimation of the parameters for a Double Layer Super Capacitor (DLC) that is modelled with a two-branch circuit.The estimation is achieved using a constrained minimization technique, which is developed off-line and uses a single constraint to write the matrix equation.The model is algebraically manipulated to obtain a matrix