Intelligent Detection of Hazardous Goods Vehicles and Determination of Risk Grade Based on Deep Learning.

Currently, deep learning has been widely applied in the field of object detection, and some relevant scholars have applied it to vehicle detection. In this paper, the deep learning EfficientDet model is analyzed, and the advantages of the model in the detection of hazardous good vehicles are determined. The adaptive training model is built based on the optimization of the training process, and the training model is used to detect hazardous goods vehicles. The detection results are compared with Cascade R-CNN and CenterNet, and the results show that the proposed method is superior to the other two methods in two aspects of computational complexity and detection accuracy. Simultaneously, the proposed method is suitable for the detection of hazardous goods vehicles in different scenarios. We make statistics on the number of detected hazardous goods vehicles at different times and places. The risk grade of different locations is determined according to the statistical results. Finally, the case study shows that the proposed method can be used to detect hazardous goods vehicles and determine the risk level of different places.

[The efficacy of topiramate and flunarizine hydrochloride for prophylactic treatment of vestibular migraine].

Objective:To evaluate the efficacy and safety of topiramate and flunarizine hydrochloride in the prophylactic treatment of vestibular migraine prophylaxis. Methods:47 patients with confirmed or probable vestibular migraine（VM） treated at the vertigo clinic of our neurology department from August 2020 to April 2021 were reviewed, and 42 patients were finally included. They were divided into topiramate group （n=22） and flunarizine hydrochloride group （n=20）. The two groups were treated with topiramate 50 mg daily and flunarizine hydrochloride 10 mg daily, respectively. The visual analogue scale, vertigo duration, vertigo frequency, and Dizziness Handicap Inventory （DHI） scores of patients with VM before and 3 months after treatment were compared. The anxiety screening scale （GAD-7） and depression screening scale （PHQ-9） were recorded to assess the improvement of patients' anxiety and depression, and the occurrence of adverse events. Results:Topiramate and flunarizine hydrochloride effectively reduced vertigo intensity, vertigo duration, and vertigo frequency in VM patients （P<0.05）. Meanwhile, total DHI score, DHI physical （DHI-P）, DHI emotional （DHI-E）, DHI functional （DHI-F）, PHQ-9 and GAD-7 were significantly decreased（P<0.05）. Furthermore, topiramate was superior to flunarizine hydrochloride in reducing vertigo intensity, vertigo duration, vertigo frequency, DHI-P, and DHI-F, while there was no significant difference between two drugs in improving patients' mood（P>0.05）. No serious adverse events were reported in either group. Conclusion:This study suggests that topiramate and flunarizine hydrochloride are safe and effective in the prevention of VM, and the daily dose of topiramate 50 mg is superior to the daily dose of flunarizine hydrochloride 10 mg. However, there was no significant difference between the two drugs in terms of mood improvement.