Clin Oral Investig
January 2025
Aim: To perform a systematic review to investigate if the use of audio distraction reduces signs of stress and anxiety in paediatric patients undergoing dental treatment.
Materials And Methods: Search was made in electronic databases (MEDLINE, Scopus, Embase, Web of Science, Scielo, BVS, Springer Link, Science Direct, Cochrane Library, and grey literature) until March 11th, 2024. The eligibility criteria were: paediatric patients under dental treatment; use of audio as a distraction method; comparison between groups with and without use of audio distraction; Clinical trials.
Machine learning (ML) is a promising tool in assisting clinical decision-making for improving diagnosis and prognosis, especially in developing regions. It is often used with large samples, aggregating data from different regions and hospitals. However, it is unclear how this affects predictions in local centers.
View Article and Find Full Text PDFCollisional Brownian engines have been proposed as alternatives to nonequilibrium nanoscale engines. However, most studies have focused on the simpler overdamped case, leaving the role of inertia much less explored. In this work, we introduce the idea of collisional engines to underdamped Brownian particles, where at each stage the particle is sequentially subjected to a distinct driving force.
View Article and Find Full Text PDFZootaxa
July 2024
Background: Left atrial appendage closure (LAAC) is an alternative therapy for patients with nonvalvular atrial fibrillation who are not eligible for long-term oral anticoagulation. However, the optimal therapy after this procedure still is controversial, especially in a subgroup of patients with severe renal dysfunction.
Objective: The purpose of this study was to evaluate the use of low-dose direct oral anticoagulation (l-DOAC) vs dual antiplatelet therapy (DAPT) after LAAC in patients with nonvalvular atrial fibrillation.