Introduction: Malocclusion is a public health problem. The evidence of its impact on quality of life is contradictory and requires further studies.
Objective: The aim of this study was to estimate the prevalence of severe malocclusion and its impact on oral health-related quality of life in schoolchildren aged 12-15 years.
Background: The satellite DNA (satDNA) PcP190 has been identified in multiple frog species from seven phylogenetically distant families within Hyloidea, indicating its broad distribution. This satDNA consists of repeats of approximately 190 bp and exhibits a highly conserved region (CR) of 120 bp, which is similar to the transcribed region of 5S ribosomal DNA (rDNA), and a hypervariable region (HR) that varies in size and nucleotide composition among and within species. Here, to improve our understanding of PcP190 satDNA, we searched for evidence of its transcription in the available transcriptomes of (Bufonidae) and (Leptodactylidae), two phylogenetically distantly related species.
View Article and Find Full Text PDFBackground: Endoscopic retrograde cholangiopancreatography (ERCP) is the first-line procedure for choledocholithiasis treatment. However, it is associated with a 10 % rate of adverse events. Spontaneous migration of common bile duct (CBD) stones occurs in 6-33 % of choledocholithiasis cases, making ERCP avoidable.
View Article and Find Full Text PDFIntroduction: Hip dips, often referred to as the pronounced trochanteric depression, can be caused by athletic muscular definition or the ageing process. This depression might impact the desirable contour of the buttocks in some female patients.
Patients And Methods: A technique is described for female patients exhibiting moderate to severe degrees of lateral trochanteric depression.
Int J Environ Res Public Health
November 2024
(1) Background: Quasi-experimental design has been widely used in causal inference for health policy impact evaluation. However, due to the non-randomized treatment used, there is great potential for bias in the assessment of the results, which can be reduced by using propensity score (PS) methods. In this context, this article aims to map the literature concerning the use of machine learning (ML) algorithms for propensity score estimation.
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