ABSTRACT
In 6G edge communication networks, the machine learning models play a major role in enabling intelligent decision-making in case of optimal resource allocation in case of the healthcare system. However, it causes a bottleneck, in the form of sophisticated memory calculations, between the hidden layers and the cost of communication between the edge devices/edge nodes and the cloud centres, while transmitting the data from the healthcare management system to the cloud centre via edge nodes. In order to reduce these hurdles, it is important to share workloads to further eliminate the problems related to complicated memory calculations and transmission costs. The effort aims mainly to reduce storage costs and cloud computing associated with neural networks as the complexity of the computations increases with increasing numbers of hidden layers. This study modifies federated teaching to function with distributed assignment resource settings as a distributed deep learning model. It improves the capacity to learn from the data and assigns an ideal workload depending on the limited available resources, slow network connection, and more edge devices. Current network status can be sent to the cloud centre by the edge devices and edge nodes autonomously using cybertwin, meaning that local data are often updated to calculate global data. The simulation shows how effective resource management and allocation is better than standard approaches. It is seen from the results that the proposed method achieves higher resource utilization and success rate than existing methods. Index Terms are fuzzy, healthcare, bioinformatics, 6G wireless communication, cybertwin, machine learning, neural network, and edge.
Subject(s)
Cloud Computing , Delivery of Health Care , Computer Simulation , Humans , Resource Allocation , TechnologyABSTRACT
BACKGROUND: The purpose of this study is to analyze the surface morphology and elemental composition of zirconia implants before and after photofunctionalization. MATERIALS AND METHODS: Ten zirconia implants (white sky implant system- Bredent Company) five each in the study group and control group was taken. Study group samples were treated with ultraviolet light for 48 h. Microstructured surface of the study and control group blanks at abutment and thread regions were documented by Scanning Electron Microscope The semi-quantitative element composition was analyzed using Energy-dispersive X-ray (EDX) spectrum. RESULTS: SEM images of the study and control group divulged a varied array of topographical configuration of the abutment area and thread region at different magnifications. At low magnification, both study and control group revealed plain compact surface and wavy porous area, whereas higher magnification showed dense grainy regions of various sizes and intensities disrupted by pores. EDX spectrum analysis for elemental composition showed increased oxygen concentration in the study group (42.8%) than the control group (29.09%), whereas carbon concentration was lower in photofunctionalized group (34.34%) than in the control group (45.41%). CONCLUSION: In zirconia implants, photofunctionalization is a viable method to effectively enhance the surface topography and hydrophilicity of bone-implant interface.
ABSTRACT
AIM: To analyze surface roughness and three-dimensional (3D) scanning topography parameters of zirconia implants before and after photofunctionalization by atomic force microscopy (AFM). MATERIALS AND METHODS: Ten commercially available zirconia implants five each in the study and control group were taken. The study group was subjected to ultraviolet (UV) radiation for 48 h using the shorter wavelength of 254 nm. After washing all the implants with 70% alcohol and drying, 3D surface topography and roughness parameters were analyzed using CSC 17 probe AFM at three different magnifications 25 µm, 50 µm, and 80 µm, respectively. RESULTS: The surface topography and calculated mean amplitude, spatial, and hybrid parameters of the study group were higher than the control group (P < 0.05) in all three magnifications. Up to scale depth and peak value for the study and control group were (-0.4-0.4: -2-1) (-0.75 to 0.6:-1-1.3) (-0.75--0.5: -1.5-1.3) for the study and control group at 25, 50, and 80 µm magnification, respectively. This indicates that photofunctionalization increased surface roughness of Zirconia implants to desirable extent. CONCLUSION: There is a definite difference in the quantitative topographic characteristics with zirconia implants being microroughned after photofunctionalization (UV treatment).
ABSTRACT
AIM: This study aims to quantify the extent of DNA damage in lymphocytes of patients with oral lichen planus (OLP) and oral lichenoid reactions (OLRs) using comet assay. METHODOLOGY: Lymphocytes from peripheral blood were subjected to alkaline comet assay. Comet length (CL), head diameter (HD), percentage of DNA in head, tail length (TL), percentage of DNA in tail, tail intensity, tail mean and tail moment were compared between study group (OLP and OLR) and control group using Student's t-test. Pearson's correlation coefficient was used to examine the linear association between the variables. RESULTS: Significantly higher levels of DNA damage was present in study group as reflected by CL, HD and TL, tail intensity and tail moment with P = 0.0001; percentage of DNA in head and tail with P = 0.02 and tail mean with P = 0.012. CONCLUSION: This study brings out the fact that DNA damage measured by comet assay was greater in the study group when compared to the control group. As a reflection of uniqueness, this study crowns the scenario with respect to early detection and prevention of potentially malignant disorders and the process of malignant transformation.
ABSTRACT
AIM: The aim of this study was to evaluate whether the flexural strength of a commercially available, heat polymerized acrylic denture base material could be improved using reinforcements. MATERIALS AND METHODS: A total of 30 specimens (65 mm × 10 mm × 3 mm) were fabricated; the specimens were divided into three groups with 10 specimens each. They were Group 1 - conventional denture base resins, Group 2 - high impact denture base resins, and Group 3 - glass reinforced denture base resins. The specimens were loaded until failure on a three-point bending test machine. An one-way analysis of variance was used to determine statistical differences among the flexural strength of three groups. Data were analyzed by SPSS software version 21.0© (IBM Corporation, Armonk, NY, USA) and the results were obtained. RESULTS: The flexural strength values showed statistically significant differences among experimental groups (P < 0.005). CONCLUSION: Within the limitations of the study polymethyl methacrylate (PMMA) reinforced with glass fibers showed the highest flexural strength values this was followed by PMMA reinforced with butadiene styrene, and the least strength was observed in the conventional denture base resins.
