Abstract: A high temperature and high salinity-resistant complementarily rigid-flexible plugging agent, a method for preparing the same, and a water-based drilling fluid and a use thereof.

Abstract: The present disclosure belongs to the field of immune technology, and particularly discloses a SARS-CoV-2 RBD-specific monoclonal antibody including a heavy chain having an amino acid sequence set forth in SEQ ID NO: 1 and a light chain having an amino acid sequence set forth in SEQ ID NO: 2. The present disclosure further discloses a linear epitope of the SARS-CoV-2 RBD-specific monoclonal antibody having an amino acid sequence set forth in SEQ ID NO: 3. The SARS-CoV-2 RBD-specific monoclonal antibody and the linear epitope thereof of the present disclosure are critical for research and development of vaccines and micromolecule drugs, diagnosis, prevention and treatment of COVID-19.

Abstract: The present disclosure discloses a method for monitoring driving behavior risk degree, including: acquiring first vehicle size information of a first vehicle, second vehicle size information of a second vehicle, vehicle driving information and vehicle driving environment information; determining the number of overlapping regions of the first vehicle and the second vehicle based on the first vehicle size information, the second vehicle size information and the vehicle driving information; and determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information and the vehicle driving environment information. This method may be applied in multiple scenarios, and facilitates drivers or passengers in avoiding them from traffic collision incidents, so that the safeties of the drivers and the passengers is greatly improved.

Abstract: A method for monitoring driving behavior risk degree, comprises the steps of: acquiring first vehicle size information of a first vehicle, second vehicle size information of a second vehicle, vehicle driving information and vehicle driving environment information; determining the number of overlapping regions of the first vehicle and the second vehicle based on the first vehicle size information, the second vehicle size information and the vehicle driving information; and determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information and the vehicle driving environment information. This method may be applied in multiple scenarios, and facilitates drivers or passengers in avoiding them from traffic collision incidents, so that the safeties of the drivers and the passengers is greatly improved.

Abstract: The present application is applicable to the field of computer application technology, and provides methods and devices for detecting driver distraction, including: acquiring the EEG data of the driver; preprocessing the EEG data, and then inputting it into a pre-trained distraction detection model to obtain the distraction detection result of the driver; obtaining the distracted detection model by training a preset convolution-recurrent neural network using EEG sample data and corresponding distracted result label; sending the distraction detection result to an in-vehicle terminal associated with the identity information of the driver, wherein the distraction detection result is used to trigger the in-vehicle terminal to generate driving reminder information according to the distraction detection result. When detecting driver distraction, the accuracy and efficiency are improved, thereby reducing the probability of traffic accidents.