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Aiming at the problem that the leakage area of high-density polyethylene membrane cannot be longitudinally located and contour identified under landfill conditions. First, according to the vibration difference characteristics of the landfill medium layer, a cross-correlation processing model is proposed using the calibration signal and the actual collected working signal. Combined with the complex wavelet domain transform, the time-frequency information of the prominent components is extracted. When the main frequency of the vibration signal is concentrated in 1,000–2,000 Hz and the correlation value is greater than 0.8, the longitudinal positioning of the target layer is completed. After removing the membrane medium in the leakage area, the leakage area image is collected, the data set is constructed, and the image preprocessing is carried out. Then the support vector machine classification and recognition model is constructed based on binary tree theory, and an adaptive particle swarm optimization algorithm is proposed to optimize the parameters of the model. When the penalty factor C = 8 and the kernel parameter g = 4.74, the model is optimal. Finally, the experimental results show that the overall recognition accuracy of the optimized classification model is 98.89%, of which the complete image recognition accuracy is 99.58%, the block damage recognition accuracy is 98.33%, and the seam damage recognition accuracy is 98.75%, which is significantly improved compared with that before optimization. [ABSTRACT FROM AUTHOR]

Background: Subarachnoid hemorrhage (SAH) serves as a disease characterized by high incidence rate, which is exceedingly prevalent and severe. Presently, there is no unambiguous or efficacious intervention for the neurological impairment following SAH. Administering multi-targeted neuroprotective agents to reduce oxidative stress (OS) and neuroinflammation caused by early brain injury (EBI) has been demonstrated to improve neurological function and prognosis following SAH. Edaravone dexborneol (EDB), a novel multi targeted neuroprotective medication, combines four parts edaravone (EDA) with 1 part (+)-borneol in proportion. Clinical trials conducted in China have revealed during 2 days of acute ischemic stroke (AIS), early administration of EDB leads to improved therapeutic outcomes compared to treatment in EDA monotherapy. Currently, there is no clear evidence that EDB can effectively treat SAH, therefore, our study aims to investigate its potential therapeutic effects and mechanisms on EBI after SAH., Method: We used the intravascular threading method to establish a mouse model of SAH to explore whether EDA and EDB could produce anti-OS and anti-apoptosis effects. Behavioral assessment of mice was conducted using the balance beam experiment and the modified Garcia scoring system. Neuronal damage due to OS and Keap1/Nrf2 signaling pathway were detected through techniques of immunofluorescence, Western blotting, spectrophotometry. The group of EDA and EDB were injected intraperitoneally for 72 h after SAH., Results: The experiment results indicated that EDB lead to remarkably positive results by significantly enhancing neurological function, reducing blood-brain barrier (BBB) injury, and effectively inhibiting neuronal apoptosis after SAH. Further examination indicated EDB significantly reduced the expression of Keap1 and increased the expression of Nrf2, and it inhibited MDA, and enhanced SOD activity after SAH. These outcomes surpassed the effectiveness observed in EDA monotherapy. However, the application of ML385 reversed the anti-OS effects of EDB and EDA., Conclusion: Our experimental findings indicated that EDB could activate Keap1/Nrf2 signaling pathway to reduce OS damage, thereby protecting neurological function and enhancing behavioral abilities after SAH. These outcomes could facilitate the creation of new approaches for the clinical management of SAH., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Zhu, Bi, Zhu, Zhang, Yang, Li, Liang, Yu and Pan.)