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We aimed to evaluate root parallelism and the dehiscence or fenestrations of virtual teeth setup using roots isolated from cone beam computed tomography (CBCT) images. Sixteen patients undergoing non-extraction orthodontic treatment with molar distalization were selected. Composite teeth were created by merging CBCT-isolated roots with intraoral scan-derived crowns. Three setups were performed sequentially: crown setup considering only the crowns, root setup-1 considering root alignment, and root setup-2 considering the roots and surrounding alveolar bone. We evaluated the parallelism and exposure of the roots and compared the American Board of Orthodontics Objective Grading System (ABO-OGS) scores using three-dimensionally printed models among the setups. The mean angulation differences between adjacent teeth in root setups-1 and -2 were significantly smaller than in the crown setup, except for some posterior teeth (p < 0.05). The amount of root exposure was significantly smaller in root setup-2 compared to crown setup and root setup-1 except when the mean exposure was less than 0.6 mm (p < 0.05). There was no significant difference in ABO-OGS scores among the setups. Thus, virtual setup considering the roots and alveolar bone can improve root parallelism and reduce the risk of root exposure without compromising occlusion quality.
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http://dx.doi.org/10.1038/s41598-023-41480-z | DOI Listing |
Rep Pract Oncol Radiother
August 2025
Department of Cell Biology, Faculty of Biology, Adam Mickiewicz University, Poznan, Poland.
Background: Triple-negative breast cancer (TNBC) shows a high aggressiveness and chemoresistance. It is important to understand the biology of TNBC, including the influence of immune cells, such as macrophages, on cancer cells (CCs) and their response to chemotherapeutics. The research aimed to determine the effect of cisplatin (CisPt) and paclitaxel (PTX) on the viability, migratory ability and expression of selected genes of TNBC cells co-cultured with macrophages.
View Article and Find Full Text PDFSci Technol Adv Mater
August 2025
Research Center for Electronic and Optical Materials, National Institute for Materials Science, Tsukuba, Ibaraki, Japan.
We measured the residual stress tensor in a nitrogen-doped chemical vapor deposition (001) diamond film. The stress tensor was evaluated from the amount of the shift in optically detected magnetic resonance (ODMR) spectra of NV center in the diamond. A confocal microscopy setup was used to observe the spatial variation of the stress tensor in the diamond film.
View Article and Find Full Text PDFAnal Chim Acta
November 2025
Chemical and Veterinary Investigations Office Stuttgart, Schaflandstraße 3/2, 70736, Fellbach, Germany.
Background: Previous studies involving cleanup via conventional solid-phase extraction (SPE) materials to overcome matrix effects for the polar organophosphonate and -phosphinate pesticides glyphosate, glufosinate, ethephon, fosetyl, and their various metabolites often showed limitations due to the existence of various matrix compounds in plant commodities with similar polarity. To overcome existing drawbacks, we utilized the unique selectivity provided by metal oxides as SPE materials. These were exploited in a novel automated online SPE-LC-MS/MS method which allowed analyte-specific trapping in the presence of excessive amounts of matrix compounds as typically contained in extracts of the Quick Polar Pesticides (QuPPe) method.
View Article and Find Full Text PDFISA Trans
August 2025
Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, University of Science and Technology Beijing, Beijing, 100083, PR China; School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China. Electronic addr
With the deep digital transformation of traditional manufacturing industry and the continuous automation level improvement of production lines, it is more important to predict the Key Performance Indicators (KPIs) of processes in a timely and accurate manner. The traditional laboratory destructive test method for obtaining KPIs consumes a large amount of time and incurs high costs, which not only fails to provide timely and effective guidance for production processes but also results in significant losses for manufacturing enterprises. To address these issues, an online prediction soft sensor model for KPIs based on a serial-parallel gated recurrent unit with self-attention mechanism (SPGRU-SA) soft sensor model is proposed.
View Article and Find Full Text PDFJ Robot Surg
September 2025
Department of Urology, Medical Faculty Carl Gustav Carus, TU Dresden, Fetscherstr. 74, 01307, Dresden, Germany.
Robot-assisted surgery is increasingly preferred. New systems such as the Hugo™RAS enter the market, offering different pricing and modular architecture. While daVinci systems dominate U.
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