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As the core component of the all-metal micro resonant gyroscope, the structural parameters and form and position errors of the resonator significantly influence its vibration characteristics, and consequently, the accuracy of the gyroscope. By establishing the finite element model of an ideal hemispherical resonator and optimizing the meshing method, we refined the frequency difference to 0.1 Hz, enhancing the accuracy of the simulation model. Through finite element simulation, we examined the impact of various structural parameters and processing errors on the natural frequencies of each mode. We analyzed how form and position errors, including shell thickness error, central axis error, equatorial plane error, and edge rectangular tooth position error, affect the frequency splitting of the resonator. We provided optimization suggestions for the structural parameters, ensuring frequency splitting variations of less than 1 Hz. Theoretical modeling and simulation analysis indicated that the primary factors influencing the vibration modes and frequency splitting are the rectangular tooth structure and shell thickness. Following the optimized parameters, the frequency splitting of the All-Metal Micro Resonant Hemisphere was reduced by an order of magnitude to 14 Hz, demonstrating that these optimized conditions can significantly enhance the resonator's performance.
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http://dx.doi.org/10.3390/s24227132 | DOI Listing |
Nanoscale Adv
August 2025
School of Electronic Science, Odisha University of Technology and Research Bhubaneswar India.
A novel electrocatalyst, zirconium ferrite nanoparticles (NPs) (ZrFeO NPs), was synthesized through coprecipitation and calcination processes at 300 °C and 500 °C using iron rust. The ZrFeO NPs were used as catalysts for the hydrogen evolution reaction. Furthermore, these NPs in an alkaline medium exhibited superior properties of a fractional order supercapacitor, based on which a prototype device was fabricated to demonstrate its energy storage applications.
View Article and Find Full Text PDFCureus
August 2025
General Surgery, Sree Balaji Medical College and Hospital, Chennai, IND.
Background Diabetic foot ulcers (DFUs) are a major complication of diabetes, posing significant challenges due to impaired wound healing, increased infection risk, and frequent need for surgical intervention. Optimal wound care is essential to reduce morbidity, hospital stay, and healthcare costs. While povidone iodine is a common antiseptic dressing, Metrogyl (metronidazole) targets anaerobic bacteria and may offer superior outcomes in chronic, infected wounds.
View Article and Find Full Text PDFRes Integr Peer Rev
September 2025
Centre for Journalology, Ottawa Methods Centre, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Background: Artificial intelligence chatbots (AICs) are designed to mimic human conversations through text or speech, offering both opportunities and challenges in scholarly publishing. While journal policies of AICs are becoming more defined, there is still a limited understanding of how Editors in chief (EiCs) of biomedical journals' view these tools. This survey examined EiCs' attitudes and perceptions, highlighting positive aspects, such as language and grammar support, and concerns regarding setup time, training requirements, and ethical considerations towards the use of AICs in the scholarly publishing process.
View Article and Find Full Text PDFJ Theor Biol
September 2025
Guangdong Immune Cell Therapy Engineering and Technology Research Center, Center for Protein and Cell-Based Drugs, Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China. Electronic address:
Chimeric antigen receptor (CAR)-macrophage therapy is a promising approach for tumour treatment due to antigen-specific phagocytosis and tumour clearance. However, the precise impact of tumour burden, dose and dosing regimens on therapeutic outcomes remains poorly understood. We developed ordinary differential equation (ODE) mathematical modelling and utilised parameter inference to analyse in vitro FACS-based phagocytosis assay data testing CD19-positive Raji tumour cell against CAR-macrophage, and revealed that phagocytosing efficiency of CAR-macrophage increases but saturates as both Raji cell and CAR-macrophage concentrations increase.
View Article and Find Full Text PDFThis paper presents a novel multiscale signal processing framework for power quality disturbance (PQD) and cyber intrusion detection in smart grids, combining Non-Subsampled Contourlet Transform (NSCT), Split Augmented Lagrangian Shrinkage Algorithm (SALSA), and Morphological Component Analysis (MCA). A key innovation lies in an adaptive weighting mechanism within NSCT's directional sub bands, enabling dynamic energy redistribution and enhanced representation of both low-frequency anomalies (e.g.
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