Full-arch implant rehabilitation - necessitating a holistic, transdisciplinary approach - has been one of the most rapidly advancing disciplines in implant dentistry, driven by rising standards and modern technological advancements. Despite indicated cases and genuine efforts to improve efficiency, the current trend of immediacy or 'teeth-in-a-day' protocol may have unintentionally veiled a more conservative, predictable, and practical potential in wound healing process, esthetics, and occlusion. Through a more phased approach utilizing terminal dentitions as strategic abutments, this case report of three years follow-up emphasizes the leverage of natural biological phenomena in tissue maturation, remodeling, and condensation, along with prosthetic sophistications focusing on its meticulousness in execution and long-range trajectory success. This workflow actualizes a high-quality level of craftsmanship with surgical and prosthetic innovations, introduced as a 're-tightening bilateral sling periosteal mattress suture' (RBSPMS) concept for intermittent tensocompressive mechanotransduction-induced guided bone regeneration and 'LegOvate' protocol for seamless loading of prosthetic conversions, emphasizing the intricate reciprocity between physiology and biomechanics for a primary goal of non-destructive equilibrium.
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Full-arch implant rehabilitation - necessitating a holistic, transdisciplinary approach - has been one of the most rapidly advancing disciplines in implant dentistry, driven by rising standards and modern technological advancements. Despite indicated cases and genuine efforts to improve efficiency, the current trend of immediacy or 'teeth-in-a-day' protocol may have unintentionally veiled a more conservative, predictable, and practical potential in wound healing process, esthetics, and occlusion. Through a more phased approach utilizing terminal dentitions as strategic abutments, this case report of three years follow-up emphasizes the leverage of natural biological phenomena in tissue maturation, remodeling, and condensation, along with prosthetic sophistications focusing on its meticulousness in execution and long-range trajectory success.
View Article and Find Full Text PDFResearch on variety identification of common bean seeds based on hyperspectral and deep learning.
Spectrochim Acta A Mol Biomol Spectrosc
February 2025
College of Electronics Engineering, Heilongjiang University, Harbin, Heilongjiang 150080, China. Electronic address:
Accurate, fast and non-destructive identification of varieties of common bean seeds is important for the cultivation and efficient utilization of common beans. This study is based on hyperspectral and deep learning to identify the varieties of common bean seeds non-destructively. In this study, the average spectrum of 3078 hyperspectral images from 500 varieties was obtained after image segmentation and sensitive region extraction, and the Synthetic Minority Over-sampling Technique (SMOTE) was used to achieve the equilibrium of the samples of various varieties.
View Article and Find Full Text PDFMechanics of Small-Scale Spherical Inclusions Using Nonlocal Poroelasticity Integrated with Light Gradient Boosting Machine.
Micromachines (Basel)
January 2024
Adelaide Medical School, University of Adelaide, The Queen Elizabeth Hospital, Woodville South, SA 5011, Australia.
Detecting inclusions in materials at small scales is of high importance to ensure the quality, structural integrity and performance efficiency of microelectromechanical machines and products. Ultrasound waves are commonly used as a non-destructive method to find inclusions or structural flaws in a material. Mathematical continuum models can be used to enable ultrasound techniques to provide quantitative information about the change in the mechanical properties due to the presence of inclusions.
View Article and Find Full Text PDFParallel detection of chemical reactions in a microfluidic platform using hyperpolarized nuclear magnetic resonance.
Lab Chip
November 2023
Institute for Bioengineering of Catalonia, The Barcelona Institute of Science and Technology, Barcelona, Spain.
The sensitivity of NMR may be enhanced by more than four orders of magnitude dissolution dynamic nuclear polarization (dDNP), potentially allowing real-time, analysis of chemical reactions. However, there has been no widespread use of the technique for this application and the major limitation has been the low experimental throughput caused by the time-consuming polarization build-up process at cryogenic temperatures and fast decay of the hyper-intense signal post dissolution. To overcome this limitation, we have developed a microfluidic device compatible with dDNP-MR spectroscopic imaging methods for detection of reactants and products in chemical reactions in which up to 8 reactions can be measured simultaneously using a single dDNP sample.
View Article and Find Full Text PDFSensor-cable-probe and sampler for early detection and prediction of dry matter loss and real-time corn grain quality in transport and storage.
Sci Rep
April 2023
Department of Agronomy, Campus de Chapadão do Sul, Federal University of Mato Grosso do Sul, Chapadão do Sul, Mato Grosso do Sul, 79560-000, Brazil.
Article Synopsis
- The study focused on monitoring moisture, temperature, and carbon dioxide levels in corn grain during transport and storage to prevent losses in quality and quantity due to heat and moisture transfer.
- Researchers developed a real-time monitoring system using a microcontroller and various sensors to detect changes in grain quality, which were then confirmed through physical analyses like electrical conductivity and germination.
- The implementation of Machine Learning in the monitoring system successfully predicted dry matter loss in grains, with most models performing as well as multiple linear regression, except for the support vector machine.
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