Abstract: Discloses a combined depressant for sphalerite flotation separation and its application, the combined depressant including reducing substance and anthocyanin. It is used as a combined depressant for sphalerite in the flotation separation of chalcopyrite and sphalerite or galena and sphalerite. After crushing and grinding the raw ore, the combined collector and foaming agent are added to the ore pulp for copper-zinc or lead-zinc flotation. During the copper-zinc or lead-zinc separation process, the combined depressant is added as the sphalerite depressant, isopentyl xanthate is used as the collector of chalcopyrite or galena, pine oil is used as the foaming agent, the froth product is copper concentrate or lead concentrate, and the bottom product is zinc concentrate. The combined depressant of the disclosure has a strong inhibitory effect on sphalerite and can effectively achieve flotation separation of chalcopyrite and sphalerite or galena and sphalerite.

Abstract: A flexible circuit board, a displaying module and a displaying device are provided. The flexible circuit board includes a plurality of bendable regions that are arranged in a first direction and are separated from each other, a bending axis of each of the plurality of the bendable regions extends in a second direction, the plurality of bendable regions include a first bendable region, and the flexible circuit board includes: a substrate; a first metal layer located at one side of the substrate and including a first trace region and a second trace region that extend in the first direction and are arranged in the second direction; and a second metal layer located at one side of the substrate away from the first metal layer and including a bending pattern and a first opening that are located within the first bendable region.

Abstract: Provided are an early warning and emergency device for a sudden stress change in surrounding rock and a method of use, which relates to the technical field of underground mining. The device includes a front shell, a rotating body, a rear shell, a driving device, a stress monitoring unit, an acoustic and optical early warning unit, a high-pressure jet mechanism, and a data analysis controller. By using the device of the present disclosure, a cloud map of sudden stress changes in surrounding rock can be formed in real time, timely monitoring can be carried out in a case where the stress in the surrounding rock undergoes a high-intensity sudden change, the self-positioning temporary patrol robot is mobilized to perform temporary support for the sudden stress change point of the surrounding rock and timely transmit a sudden stress change early warning signal to remind nearby workers to evacuate in time.

Abstract: A landmark data collection method includes: determining (S100) a first basic collection point (A), a second basic collection point (B), and a third basic collection point (C) sequentially in an observation area of a landmark building; and collecting (S200) photos of the landmark building based on each of the first basic collection point (A), the second basic collection point (B), and the third basic collection point (C) to obtain landmark data of the landmark building. A photo of the landmark building is taken by a camera at the i-th basic collection point; and a collection point is determined at every predetermined distance interval as the camera is moved in a counterclockwise direction and/or a clockwise direction, and the photo of the landmark building is taken by the camera at the collection point, until the camera is moved out of the observation area, where i=1, 2, 3.

Abstract: A positioning model optimization method, an image-based positioning method and positioning device, and a computer-readable storage medium are provided. The positioning model optimization method includes: inputting a positioning model for a scene, the positioning model including a three-dimensional (3D) point cloud and a plurality of descriptors corresponding to each 3D point in the 3D point cloud; determining, for each 3D point in the 3D point cloud, a plurality of neighboring points of the 3D point, and if a distance relationship between each of the plurality of neighboring points and the 3D point is smaller than a predetermined threshold, outputting the 3D point and the plurality of descriptors corresponding to the 3D point to an optimized positioning model for the scene; and outputting the optimized positioning model for the scene.

Abstract: A positioning model optimization method, a positioning method, and a positioning device are provided. The positioning model optimization method includes: inputting a positioning model for a scene, the positioning model including a three-dimensional (3D) point cloud and a plurality of descriptors corresponding to each 3D point in the 3D point cloud; calculating a significance of each 3D point in the 3D point cloud, and if the significance is greater than a predetermined threshold, outputting the 3D point and the plurality of descriptors corresponding to the 3D point to an optimized positioning model for the scene; and outputting the optimized positioning model for the scene.

Abstract: An animation processing method and apparatus, an electronic device and a storage medium, applied to a shader, the method including: acquiring an animation sample of a model unit; acquiring an external interaction parameter of an augmented reality model, where the augmented reality model includes a plurality of model units; and outputting the augmented reality model, and driving the animation sample of the model unit in the output augmented reality model according to the external interaction parameter. The animation sample of the model unit can be driven according to the external interaction parameter, so that animation of the model can be adjusted according to user operation, thereby improving usability.

Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.

Abstract: An image processing method and apparatus, a computer device, and a storage medium. The method includes: acquiring a first image feature obtained by extracting a first feature from a first image and a second image feature obtained by extracting a second feature from a second image, the image types of the first image and the second image being different (S101); based on the first image feature and the second image feature, determining feature selection weightings respectively corresponding to the first image feature and the second image feature (S102); based on the feature selection weightings respectively corresponding to the first image feature and the second image feature, performing feature fusion on the first image feature and the second image feature to obtain fused feature data (S103); and performing object detection processing based on the fused feature data to obtain an object detection result (S104).

Abstract: An image effect implementing method is described herein that includes: acquiring a first image, recognizing a set object in the first image, and acquiring an augmented reality model corresponding to the set object; superimposing, according to coordinate information of pixels of the set object, the augmented reality model onto the first image to obtain a second image; and upon detection of a preset deformation event, controlling, according to a set deformation policy, at least one sub-model of the augmented reality model in the second image to deform, and displaying the deformed second image.

Abstract: Among other things, embodiments of the present disclosure improve the functionality of computer software and systems by facilitating the automatic performance optimization of a software application based on the particular platform upon which the application runs. In some embodiments, the system can automatically choose a set of parameters or methods at run-time from a design space with pre-selected optimization methods and parameters (e.g., algorithms, software libraries, and/or hardware accelerators) for a specific task.

Abstract: A list information display method and apparatus, an electronic device, and a storage medium are provided, the method includes: displaying list information in response to an information display operation triggered by a user; obtaining a real scene shooting image; and loading a plurality of types of information related to the list information into the real scene shooting image and display the real scene shooting image. Due to the use of virtual enhanced display technology, while the list information is displayed in the real scene shooting image, the plurality of types of information related to the list information are also displayed. On one hand, the user can obtain more information related to the list information while obtaining the list information, which improves the efficiency of information acquisition; and on the other hand, the user can obtain information in the real scene shooting image, which improves the visual effect and interactive experience.

Abstract: A grease discharging apparatus includes a pump body, a grease storage tube, an eccentric reciprocating assembly and a pressure regulating assembly. The grease storage tube is connected to the pump body. The eccentric reciprocating assembly is installed on a top end of the pump body. The eccentric reciprocating assembly includes a plunger. The plunger is configured to reciprocate within the pump body to cause grease in the grease storage tube to enter an external grease injection device through a grease discharge circuit. The grease discharge circuit includes a grease discharge chamber and an overflow hole communicating with each other. The overflow hole communicates with the grease storage tube. The pressure regulating assembly is installed in the grease discharge circuit.

Abstract: Remote distribution of multiple neural network models to various client devices over a network can be implemented by identifying a native neural network and remotely converting the native neural network to a target neural network based on a given client device operating environment. The native neural network can be configured for execution using efficient parameters, and the target neural network can use less efficient but more precise parameters.

Abstract: The backlight module includes: a backplane and an adhesive frame. The backplane includes a bottom plate and a plurality of side plates, matching to define an accommodating space. The side plates include at least one first side plate. The first side plate has at least two clamping grooves distributed in an extending direction of the first side plate. The adhesive frame includes subframes connected with the side plates. A first subframe in the subframes is connected with the first side plate. The first subframe includes a bearing part and at least two clamping parts in correspondence with the clamping grooves. The bearing part is on a side of the accommodating space away from the bottom plate. The clamping parts are on a side of the bearing part facing the bottom plate. Each clamping part is clamped with the corresponding clamping groove in a matching mode.

Abstract: An electric motorcycle includes a frame assembly, a front wheel assembly, a rear wheel assembly and a battery compartment assembly. The frame assembly includes a casing and a seat assembled on the casing. The front wheel assembly is fixed on a first end of the frame assembly. The rear wheel assembly is fixed on a second end of the frame assembly. The battery compartment assembly is fixed on the casing and includes a battery pack and a compartment body to house the battery pack. The compartment body is integrally arranged with the casing. The battery pack is insertable and mounted in the compartment body. The casing is provided with a first receiving portion and a second receiving portion. A bottom of the seat is correspondingly provided with a first locking portion and a second locking portion to be clamped with the first receiving portion and second receiving portion.

Abstract: A circuit board assembly includes a first circuit board and second circuit board(s). The first circuit board includes first bonding component(s), and a first bonding component includes a plurality of first conductive blocks sequentially arranged at intervals in a first direction. A second circuit board includes second bonding component(s), and a second bonding component includes a plurality of second conductive blocks sequentially arranged at intervals. The plurality of second conductive blocks in the second bonding component are bonded to the plurality of first conductive blocks in the first bonding component in one-to-one correspondence. An expansion ratio of the first circuit board is less than an expansion ratio of the second circuit board. Each second conductive block in the second bonding component overlaps with a first conductive block bonded thereto, and a change ratio of an overlapping state of the second bonding component in the first direction is less than 0.102%.

Abstract: A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

Abstract: The present disclosure provides a video processing method, a video processing apparatus, and a storage medium. A picture of the video includes a landmark building and a moving subject. The video processing method includes: identifying and tracking the landmark building in the video; extracting and tracking a key point of the moving subject in the video, and determining a posture of the moving subject based on information of the extracted key point of the moving subject; and making the key point of the moving subject correspond to the landmark building, and driving the landmark building to perform a corresponding action based on an action of the key point of the moving subject, so as to make a posture of the landmark building in the picture of the video correspond to the posture of the moving subject. The video processing method may enhance interactions between the user and the shot landmark.