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Evaluation of the effectiveness of panoramic radiography in impacted mandibular third molars on deep learning models developed with findings obtained with cone beam computed tomography.
Oral Radiol
December 2024
Department of Oral, Dental and Maxillofacial Radiology, Faculty of Dentistry, Ataturk University, Erzurum, 25240, Turkey.
Objective: The aim of this study is to determine the contact relationship and position of impacted mandibular third molar teeth (IMM) with the mandibular canal (MC) in panoramic radiography (PR) images using deep learning (DL) models trained with the help of cone beam computed tomography (CBCT) and DL to compare the performances of the architectures.
Methods: In this study, a total of 546 IMMs from 290 patients with CBCT and PR images were included. The performances of SqueezeNet, GoogLeNet, and Inception-v3 architectures in solving four problems on two different regions of interest (RoI) were evaluated.
Influence of three antiseptic mouthwashes on microtensile bond strength of self-etch adhesive to dentin: Rinsing versus non-rinsing with water.
Heliyon
December 2024
Department of Advanced General Dentistry, Faculty of Dentistry, Mahidol University, Bangkok, 10400, Thailand.
Objective: The purpose of this study was to examine the effect of several antiseptic mouthwashes on the dentin microtensile bond strength of self-etch adhesive, considering the influence of rinsing with water.
Methods: Forty flat dentin surfaces were produced by sectioning sound extracted third molars. They were randomly divided into four main groups: (1) artificial saliva (control); (2) 1 % hydrogen peroxide; (3) 0.
Application of a 3D Fusion Model to Evaluate the Efficacy of Clear Aligner Therapy in Malocclusion Patients: A Prospective Observational Study.
J Med Internet Res
December 2024
Kunming Medical University Affiliated Stomatological Hospital & Yunnan Key Laboratory of Stomatology, Department of Orthodontics, Kunming Medical University, C Building, Hecheng International1088 Haiyuan Middle Road, Kunming, CN.
Background: Investigating the safe range of orthodontic tooth movement is essential for maintaining oral and maxillofacial stability post-treatment. Although clear aligners rely on pre-treatment digital models, their effect on periodontal hard tissues remains uncertain. By integrating CBCT-derived cervical and root data with crown data from digital intraoral scans, a three-dimensional (3D) fusion model may enhance precision and safety.
View Article and Find Full Text PDFRobust Method for Property Prediction via Artificial Neural Networks: Incorporating Key Structural Features for Carbon Dioxide-Ionic Liquid Mixtures.
J Phys Chem B
December 2024
Centro de Química Estrutural, Institute of Molecular Sciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal.
This study addresses a critical gap in the existing literature on carbon dioxide and ionic liquid (IL) mixtures, where fragmented and incomplete data, particularly for flow properties, hinder practical applications. Therefore, this work aimed to establish a robust and efficient method for predicting the density of the CO-IL mixtures across diverse operating conditions and IL families using novel validation techniques. Both linear and symbolic regression models provided relevant insights but failed to accurately capture the IL-CO interactions in a mixture that determine the molar volume of CO at infinite dilution when solubilized by a given IL.
View Article and Find Full Text PDFBioconversion of aflatoxin-contaminated groundnut press cake by larvae of black soldier fly Hermetia illucens results in a complete mass balance for aflatoxin B.
NPJ Sci Food
December 2024
Laboratory of Entomology, Wageningen University, Droevendaalsesteeg 1, 6708PB, Wageningen, the Netherlands.
Groundnuts are considered as one of the most important cultivated food crops globally. Groundnuts are used for vegetable oil production, which generate a variety of by-products, such as peanut press cake (PPC). Groundnuts are sensitive to infection by aflatoxigenic fungi.
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