Current data science capacity building initiatives for health researchers in LMICs: global & regional efforts.

Background: Data science approaches have proved crucial for generating major insights to address public health challenges. While such approaches have played significant roles during the COVID-19 pandemic, there has been limited investment in capacity building in data science skills and infrastructure for health researchers in LMICs.

Objectives: This review aims to identify current health data science capacity building initiatives and gaps in Africa, Asia, and Latin America and the Caribbean (LAC), to support knowledge sharing and collaborations, and inform future initiatives and associated investment.

Local and systemic photobiomodulation using a 650 nm LED on skin temperature and hyperalgesia in cellulite: a randomized, placebo-controlled and double-blinded clinical trial.

Cellulite is a skin condition that significantly affects women, characterized by "holes" or depressions in the skin, affecting approximately 95% of women at some point in their lives. Cellulite often presents inflammatory symptoms such as increased skin temperature and hyperalgesia. Photobiomodulation, whether applied locally or systemically, has demonstrated important anti-inflammatory effects in various conditions.

Effect of disinfectants on multispecies biofilm, the physical and mechanical properties of polymethyl methacrylate, and the corrosion of cobalt chromium alloy.

Statement Of Problem: The optimal disinfection protocol that controls adverse effects and promotes effective antimicrobial action on removable prostheses is unclear.

Purpose: This in vitro study investigated the effect of disinfectant solutions on the biological, physical, mechanical, and chemical properties of removable prosthesis materials.

Material And Methods: Specimens of polymethyl methacrylate (PMMA) and cobalt chromium (Co-Cr) alloy were immersed in distilled water (PMMA) or artificial saliva (Co-Cr) as the control and in 0.

Time for What? Dissociating Explicit Timing Tasks through Electrophysiological Signatures.

Estimating durations between hundreds of milliseconds and seconds is essential for several daily tasks. Explicit timing tasks, which require participants to estimate durations to make a comparison (time for perception) or to reproduce them (time for action), are often used to investigate psychological and neural timing mechanisms. Recent studies have proposed that mechanisms may depend on specific task requirements.

A Neural Network-Based Random Access Protocol for Crowded Massive MIMO Systems.

Fifth-generation (5G) and beyond networks are expected to serve large numbers of user equipments (UEs). Grant-based random access (RA) protocols are efficient when serving human users, typically with large data volumes to transmit. The strongest user collision resolution (SUCRe) is the first protocol that effectively uses the many antennas at the 5G base station (BS) to improve connectivity performance.