Objectives: This study aimed to investigate the potential impact of arch dimensions and unerupted third molars on mandibular anterior segment crowding.
Materials And Methods: This study included a total of 240 subjects with an average age of 18 years seeking orthodontic treatment. Panoramic radiographs, alginate impressions, and study models were taken for measurements.
J Musculoskelet Neuronal Interact
September 2023
Objective: To investigate the effect of dual tasking on postural control in individuals with schizophrenia.
Methods: Fifteen outpatients with schizophrenia and 15 healthy controls were included. Postural control was assessed with postural sway velocity (PSV) using Balance Master System during three different tasks: single task (standing on a force platform), cognitive task (categorical verbal fluency) and motor task (holding a cup of water) in four conditions: on firm surface with eyes open (1) and closed (2), on foam surface with eyes open (3) and closed (4).
Objective: To evaluate and compare the impact of two removable partial dentures (acrylic removable partial denture [ARPD] and metallic removable partial denture [MRPD]) on periodontal tissues of the remaining teeth in the first 12 months of denture use.
Materials And Methods: This prospective clinical study included 40 patients, of which 20 received ARPDs, 20 received MRPDs, nine in the maxilla, and 11 in the mandible each. The patients were 45-65 years old; 24 were females, and 16 were males.
Background: Studies have shown that perceptual and cognitive asymmetries are present in the auditory system in patients with adolescent idiopathic scoliosis (AIS). The Dichotic Listening (DL) paradigm was formerly performed in non-forced (NF) conditions only, and no study has examined the conditions of attention to one ear.
Objective: To investigate the perceptual and cognitive asymmetry in the auditory system in patients with AIS as well as the asymmetry changes according to the curvature characteristics of patients with AIS.
High-throughput data generated by new biotechnologies require specific and adapted statistical treatment in order to be efficiently used in biological studies. In this article, we propose a powerful framework to manage and analyse multi-omics heterogeneous data to carry out an integrative analysis. We have illustrated this using the mixOmics package for R software as it specifically addresses data integration issues.
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