GUANGZHOU UNIVERSITY

A boltless connection device for upper and lower modular beams of a steel structure modular building is disclosed, comprising a geared reinforcement structure; the modular beam reinforcement structure is a monolithic C-shaped channel structure; large gears are arranged oppositely on an inner side surface of the modular beam reinforcement structure; pinion gears and bolts are arranged at upper and lower relative positions of the modular beam reinforcement structure, and form a gear transmission fit with the large gears; a push-pull sliding plate is slidably connected via a sliding groove, and a gear sliding plate forms a gear transmission fit with the large gear. The connection device of the modular beam structure forms a tight mechanical interlock, which replaces the conventional single-point stress mode of bolts and welding, and can effectively resist the combined effect of bending moment, shear force and axial force.

A modular horizontal channel steel beam connection device is disclosed, pertaining to the technical field of prefabricated building structures. The device comprises an I-shaped stiffener, and a vertical force reinforcement module mounted in a mounting groove, wherein top four corners of the I-shaped stiffener are provided with threaded holes corresponding to the vertical force reinforcement module and the top of the vertical force reinforcement module is fixed in the reinforcement module mounting groove by fixing bolts. By adopting a modular horizontal channel steel beam connection configuration, the disclosed beam connection device can solve the problems of low construction efficiency, stress concentration at the joints and poor modular adaptability caused by insufficient standardization of connection interfaces, and by discontinuous force transmission paths in existing connection devices, thereby enhancing structural integrity and seismic performance of prefabricated steel beams.

Disclosed are a Nested Named Entity Recognition method based on part-of-speech awareness, system, device and storage medium therefor. The method uses a BiLSTM model to extract a feature of text word data in order to obtain a text word depth feature, and each text word of text to be recognized is initialized into a corresponding graph node, and a text heterogeneous graph of the text to be recognized is constructed according to a preset part-of-speech path, the text word data of the graph nodes is updated by an attention mechanism, and the features of all graph nodes of the text heterogeneous graph are extracted using the BiLSTM model, and a nested named entity recognition result is obtained after decoding and annotating. The present disclosure can recognize ordinary entities and nested entities accurately and effectively, and enhance the performance and advantages of the nested named entity recognition model.

A method for detecting the position relation between a vehicle and a lane line includes: obtaining a vehicle model, the vehicle model being represented by multiple first coordinates in a world coordinate system; obtaining a lane line image, the lane line image being captured by a camera disposed on a vehicle; obtaining a calibration parameter of the camera; determining, according to the lane line image and the calibration parameter, a first line segment of a lane line mapped into the world coordinate system; and determining the position relation between the lane line and the vehicle according to the position relation between the first line segment and multiple first coordinates in the world coordinate system. The position relation between the lane line and the vehicle can be determined without using a positioning system, so that the construction cost of intelligent driving is reduced.

Use of ginkgolide A in the treatment of autism. Specifically, the present invention relates to use of ginkgolide A, a stereoisomer thereof, a crystal form thereof, a pharmaceutically acceptable salt thereof, a derivative thereof, an extract comprising ginkgolide A, or a combination thereof in the preparation of a pharmaceutical composition for the treatment of autism. The experiments have demonstrated that ginkgolide A can significantly alleviate the behavioral defects of autism, and ginkgolide A has the advantages of small dosage and high safety when treating autism, and is very suitable as a common medicine for the treatment of autism.

A control method for an anti-condensation radiant cooling system, including: step 1, acquiring temperature matrix data of indoor thermal images, an indoor air temperature t a , and a relative humidity (RH); step 2, performing an occupant counting for indoor active occupants; step 3, determining a condensation risk; and step 4, calculating a predicted mean vote (PMV) value under current indoor conditions based on the temperature matrix data of indoor thermal images, the indoor air temperature t a , and the relative humidity (RH).

An underwater detection device includes a surface drive boat and an unmanned underwater vehicle. The surface drive boat includes: a hull; transverse attitude-stabilizing thrusters and orbit vectored thrusters arranged at the bottom of the hull; a control box arranged on the hull and electrically connected with the transverse attitude-stabilizing thrusters and the orbit vectored thrusters; a cable and a cable winding assembly arranged on the hull, the control box being connected with the unmanned underwater vehicle by the cable, the cable winding assembly being electrically connected with the control box; and a positioning assembly arranged on the hull and electrically connected with the control box.

The application relates to the field of microbiology and presents a salt-tolerant heterotrophic nitrification aerobic denitrifying and phosphorus removal bacterial strain and its application. The strain is Pseudomonas mendocina A4, deposited on Nov. 4, 2022, at the Guangdong Microbial Culture Collection Center, located at Building 59, 5th Floor, No. 100 Xianlie Middle Road, Yuexiu District, Guangzhou, Guangdong Province, with the deposit number GDMCC No: 62944. The Pseudomonas mendocina A4 strain provided by the present application possesses both heterotrophic nitrification and aerobic denitrification functions and can be applied in the field of wastewater treatment. It has a strong tolerance to high concentrations of organic carbon while utilizing various organic carbon sources in wastewater and exhibits excellent organic carbon removal capabilities in water. This strain is particularly suitable for treating nitrogen-containing wastewater with a high C/N ratio.

An energy harvesting device based on wave energy comprises: a box body; a swing rod hinged with the box body, wherein one end of the swing rod extends into the box body, and a float is fixed at the other end of the swing rod; a base layer disposed inside the box body and provided with a plurality of piezoelectric patches in a length direction; and an energy transmission assembly fixed inside the box body and located between the swing rod and the base layer, one side of the energy transmission assembly is connected with one end of the swing rod extending into the box body, and the other side of the energy transmission assembly is in transmission connection with the base layer, wherein the energy transmission assembly converts the swinging of the swing rod into squeezing to the base layer.

An APT organization identification method, system and storage medium based on a stacking ensemble are provided, the method comprising: using a TF-IDF algorithm combined with an n-gram to extract and vectorize behavior features from malware samples to form a malicious behavior vector feature set; based on the malicious behavior vector feature set, calculating correlations between features and chi-square values between the features and categories, performing screening twice on the malicious behavior vector feature set to obtain an improved low-dimensional feature subset data; constructing a multi-model fusion stacking ensemble, learning an APT organization identification model, using the APT organization identification model to perform an identification on new ATP attacks. The feature selection of high-dimensional behavior vector features reduces the complexity of the data set; the imbalance of samples in the data set is also considered, and multi-model integrated training to improve the recognition accuracy is adopted; in addition, the APT organization identification model for malicious samples is obtained through machine learning training, which improves the automatic identification efficiency of new sample is improved.