98%
921
2 minutes
20
The authors studied the innovative applications of atomic absorption spectrometry in the automatic transmission fault detection. After the authors have determined Fe, Cu and Cr contents in the five groups of Audi A6 main metal in automatic transmission fluid whose travel course is respectively 10-15 thousand kilometers, 20-26 thousand kilometers, 32-38 thousand kilometers, 43-49 thousand kilometers, and 52-58 thousand kilometers by atomic absorption spectrometry, the authors founded the database of primary metal content in the Audi A6 different mileage automatic transmission fluid (ATF). The research discovered that the main metal content in the automatic transmission fluid increased with the vehicles mileage and its normal metal content level in the automatic transmission fluid is between the two trend lines. The authors determined the main metal content of automatic transmission fluid which had faulty symptoms and compared it with its database value. Those can not only judge the wear condition of the automatic transmission which had faulty symptoms but also help the automobile detection and maintenance personnel to diagnose automatic transmission failure reasons without disintegration. This reduced automobile maintenance costs, and improved the quality of automobile maintenance.
Download full-text PDF |
Source |
---|
Anal Bioanal Chem
September 2025
School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, China.
The prompt and accurate identification of pathogenic bacteria is crucial for mitigating the transmission of infections. Conventional detection methods face limitations, including lengthy processing, complex sample pretreatment, high instrumentation costs, and insufficient sensitivity for rapid on-site screening. To address these challenges, an aptamer (Apt)-sensor based on functionalized magnetic nanoparticles (MNPs) was developed for detecting Escherichia coli.
View Article and Find Full Text PDFACS Omega
September 2025
Shandong Provincial Key Laboratory of Oil, Gas and New Energy Storage and Transportation Safety, China University of Petroleum, Qingdao, Shandong 266580, People's Republic of China.
The natural gas pipeline network has a complex topology with variable flow directions, and the supply demand relationships between nodes exhibit cyclical, fluctuating, and time-varying trends. Developing efficient, accurate, and fast intelligent control algorithms is crucial for optimizing the distribution of natural gas networks. Analyzing the operational data from a provincial network over three years revealed that abnormal flow data, such as supply interruptions due to incidents, early fulfillment of supply, and insufficient flow distribution, can cause deviations between the actual transmission volume and the planned transmission volume predicted by the uneven coefficient method.
View Article and Find Full Text PDFHardwareX
September 2025
Universidad Nacional de Colombia, Facultad de Minas, Grupo GITA, Cra. 80#65-223, Colombia.
This paper presents the development of a transmitter that transforms intermittent glucose sensors (isCGM) into a continuous and real-time glucose monitoring system (c-rtCGM), a key component in automated insulin delivery systems. The transmitter enhances the capabilities of conventional intermittent sensors by leveraging Near Field Communication (NFC) technology to capture raw glucose value and automatically transmit it via Bluetooth Low Energy (BLE-Bluetooth 4.2 Dual-Mode) to a smart device every five minutes.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
The video anomaly detection (VAD) aims to automatically analyze spatiotemporal patterns in surveillance videos collected from open spaces to detect anomalous events that may cause harm, such as fighting, stealing, and car accidents. However, vision-based surveillance systems such as closed-circuit television (CCTV) often capture personally identifiable information. The lack of transparency and interpretability in video transmission and usage raises public concerns about privacy and ethics, limiting the real-world application of VAD.
View Article and Find Full Text PDFNanoscale Adv
July 2025
Department of Atomic and Molecular Physics, Faculty of Physics, Alzahra University Tehran 1993893973 Iran.
Smart windows automatically adjust their properties to control infrared (IR) radiation which helps with saving energy by reducing the need for heating and cooling. In the current study, we use vanadium dioxide (VO), a phase change material that in temperatures above 68 °C behaves as a metal, to design smart windows. In its metallic phase, VO transmits less IR than would be expected from a smart window.
View Article and Find Full Text PDF