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Dig Dis Sci
January 2025
Department of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Objectives: As one of the most common complications of laryngopharyngeal reflux or gastroesophageal reflux disease, dental erosion presents a significant association with laryngopharyngeal reflux. This study aimed to elucidate the role of laryngopharyngeal reflux and gastroesophageal reflux disease on the severity and occurrence of dental erosion in adult populations.
Methods: A comprehensive search was performed in the databases of PubMed/MEDLINE, Web of Science, Cochrane Library, and Scopus for English literature published from July 1999 to June 2024.
Metab Brain Dis
January 2025
Department of Hepatology and Gastroenterology, Aarhus University Hospital, Aarhus N, Denmark.
Background & Aims: Hepatic encephalopathy (HE), one of the most serious prognostic factors for mortality in alcohol-related cirrhosis (ALD cirrhosis), is not recorded in Danish healthcare registries. However, treatment of HE with lactulose, the universal first-line treatment, can be identified through data on filled prescriptions. This study aimed to investigate if lactulose can be used as a surrogate marker of HE.
View Article and Find Full Text PDFJ Esthet Restor Dent
January 2025
Department of Restorative Dentistry, Faculty of Dentistry, Kırıkkale University, Kırıkkale, Türkiye.
Objective: This in vitro study aims to evaluate the effect of placing polyethylene fibers used in large Class II MOD (mesio-occlusion-distal) cavities into different flowable resin composites and in different positions on the fracture resistance of the restoration.
Materials And Methods: Ninety healthy human molars were used in the study. No treatment was performed on 10 of these teeth and they were used as the control group.
Biotechnol Bioeng
January 2025
Bioprocess Research and Development (BRD), WuXi Biologics, Shanghai, China.
Serving as a dedicated process analytical technology (PAT) tool for biomass monitoring and control, the capacitance probe, or dielectric spectroscopy, is showing great potential in robust pharmaceutical manufacturing, especially with the growing interest in integrated continuous bioprocessing. Despite its potential, challenges still exist in terms of its accuracy and applicability, particularly when it is used to monitor cells during stationary and decline phases. In this study, data pre-processing methods were first evaluated through cross-validation, where the first-order derivative emerged as the most effective method to diminish variability in prediction accuracy across different training datasets.
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