Purpose: This study aimed to clarify the size and morphology of the mandible and to determine state of neural structures for the planning of the dental implantation using cone-beam computerized tomography (CBCT).
Methods: Of the 252 patients, CBCT images of 48 selected patients were evaluated. The bone height and width were measured and the type of the mental portion of the inferior alveolar canal, the anterior loop length (ALL), the location of the incisive canal and lingual foramen were identified with cross-sectional and multiplane reformatted CBCT images. According to buccal and lingual concavities, the shape of the mandible is classified as type A, B and C.
Results: Bone widths of males were significantly higher than female (p < 0.05). The thickest part of the alveolar bone was measured in the middle triple zone (d line) and the thinnest part was measured in the area near the alveolar crest (b line). The most seen type of mandible was type B (45.8%) that mandible was concave on the buccal side. Bone heights had a tendency to increase towards to the anterior mandible, and bone height in male patients was slightly but not significantly greater than that in female patients. ALL was 4.2 ± 1.2 mm and visible incisive canal length on CBCT was 9.7 ± 3.8 mm.
Conclusion: CBCT assessment of morphological features of the alveolar bone and locations of nerve canals and foramina in the anterior-premolar region of mandible represent useful practical anatomical information about the interforaminal region. This information is the guide to the dentist before implant surgery.
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http://dx.doi.org/10.1007/s00276-018-2039-8 | DOI Listing |
RSC Adv
January 2025
Department of Chemistry, College of Science, King Saud University P.O. Box 2455 Riyadh 11451 Saudi Arabia.
In this study, the specific capacitance characteristics of a carbon nanotube (CNT) supercapacitor was predicted using different machine learning algorithms, such as artificial neural network (ANN), random forest regression (RFR), -nearest neighbors regression (KNN), and decision tree regression (DTR), based on experimental studies. The results of the simulation verified the accuracy of the ANN algorithm with respect to the data derived from the specific capacitance of the supercapacitor module. It was observed that there was a strong correlation between the experimental results and the predictions made by the ANN algorithm.
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Medcom Advance, Carrer de Marcel·lí Domingo 2-4, Edifici N5, 43007 Tarragona, Spain.
Surface-enhanced Raman scattering (SERS) substrates are garnering increasing interest for ultrasensitive high-throughput sensing. Notably, SERS-encoded nanostructures stand out due to their potential for nearly unlimited codification with excellent optical properties. In this paper we report a simple, versatile and cost-effective method for preparing SERS-encoded clusters.
View Article and Find Full Text PDFBiophys J
January 2025
Department of Machine Learning, Moffitt Cancer Center, Tampa, Florida, United States. Electronic address:
In the field of drug discovery, the generation of new molecules with desirable properties remains a critical challenge. Traditional methods often rely on SMILES (Simplified Molecular Input Line Entry System) representations for molecular input data, which can limit the diversity and novelty of generated molecules. To address this, we present the Transformer Graph Variational Autoencoder (TGVAE), an innovative AI model that employs molecular graphs as input data, thus captures the complex structural relationships within molecules more effectively than string models.
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January 2025
The Ritchie Centre, Hudson Institute of Medical Research, Melbourne, VIC, Australia.
Perinatal exposure to infection/inflammation is highly associated with neural injury, and subsequent impaired cortical growth, disturbances in neuronal connectivity, and impaired neurodevelopment. However, our understanding of the pathophysiological substrate underpinning these changes in brain structure and function is limited. The objective of this review is to summarize the growing evidence from animal trials and human cohort studies that suggest exposure to infection/ inflammation during the perinatal period promotes regional impairments in neuronal maturation and function, including loss of high-frequency electroencephalographic activity, and reduced growth and arborization of cortical dendrites and dendritic spines resulting in reduced cortical volume.
View Article and Find Full Text PDFJ Neuroeng Rehabil
January 2025
Department of Mechanical and Aerospace Engineering, University of Florida, PO Box 116250, Gainesville, FL, 32611, USA.
Background: Motor module (a.k.a.
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