Abstract: Disclosed is a microscopic comparison and experimental verification method for the wettability of similar surfactants on coal dust, comprising: collecting a coal sample on site from a mining area and analyzing the coal sample by infrared spectroscopy and nuclear magnetic resonance spectroscopy to obtain information on functional groups and carbon structure of coal molecules; S2: constructing a surfactant-coal molecule electrostatic interaction model and analyzing an orbital energy difference and an electrostatic potential difference between surfactant molecules and coal molecules, etc. S6. The invention provides a simple and effective idea for the selection of surfactants.

Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. An evaluator module receives score(s) from the ML model indicating whether a particular message is spam or other undesired message and when the scores satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.

Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. Message text may also be used. An evaluator module receives the score(s) from the ML model(s) indicating whether a particular message is spam and when the score(s) satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.

Abstract: An RGB-T (Thermal) multispectral pedestrian detection method based on a target aware fusion strategy, which aims to accurately determine the position of pedestrians from a pair of RGB and thermal infrared images. Given a pair of RGB and thermal infrared image to be detected, this method firstly extracts multispectral features from the RGB and thermal infrared images; then the extracted multispectral features are fused by using a target aware fusion strategy; finally, the fused features are sent to a detection head for pedestrian detection, and the pedestrian position box and confidence are output. The method can effectively fuse the deep features of multispectral images, enhance the feature expression of pedestrian areas and suppress irrelevant background noise features during the fusion process, and can realize accurate pedestrian detection.

Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. An evaluator module receives score(s) from the ML model indicating whether a particular message is spam or other undesired message and when the scores satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.

Abstract: A method, electronic device and storage medium for generating information are disclosed. The method includes: acquiring a plurality of tag entity words from a target video, the tag entity words including a person entity word, a work entity word, a video category entity word, and a video core entity word, the video core entity word including an entity word for characterizing a content related to the target video; linking, for a tag entity word among the plurality of tag entity words, the tag entity word to a node of a preset knowledge graph; determining semantic information of the target video based on a linking result of each of the tag entity words; and structuring the semantic information of the target video based on a relationship between the node and an edge of the knowledge graph, to obtain structured semantic information of the target video.

Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. Message text may also be used. An evaluator module receives the score(s) from the ML model(s) indicating whether a particular message is spam and when the score(s) satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.

Abstract: A method for mining an entity focus in a text may include: performing word and phrase feature extraction on an input text; inputting an extracted word and phrase feature into a text coding network for coding, to obtain a coding sequence of the input text; processing the coding sequence of the input text using a core entity labeling network to predict a position of a core entity in the input text; extracting a subsequence corresponding to the core entity in the input text from the coding sequence of the input text, based on the position of the core entity in the input text; and predicting a position of a focus corresponding to the core entity in the input text using a focus labeling network, based on the coding sequence of the input text and the subsequence corresponding to the core entity in the input text.

Abstract: A machine learning (ML) model is used to identify spam messages and spammers in computer game settings based on learned gamer behavior. An evaluator module receives score(s) from the ML model indicating whether a particular message is spam or other undesired message and when the scores satisfy a threshold, passes the message to a punishment module to determine whether the warn, suspend, or ban the sending account.

Abstract: A system and method for providing personalized assistance in a virtual environment is disclosed. A plurality of trigger events is stored in memory, each trigger event based on a user interaction in the virtual environment. Data sent over a communication network regarding gameplay of a user associated with a media title engaged in the virtual environment is received. Play characteristics exhibited by the user based on the received data are identified. One or more user generated content streams that meet conditions of an identified one or more trigger events are identified. Identified streams are ranked based on a match between the play characteristics exhibited by the user and metadata of each of the identified streams. A display of the ranked streams is provided, wherein the display includes an analysis of the match.

Abstract: The present invention relates to a grabbing detection method based on an RP-ResNet, which method belongs to the field of computer vision, and in particular relates to recognition and positioning of a grabbing point of a mechanical arm. The method comprises: inputting a target object image; pre-processing data; performing data processing by means of an RP-ResNet model; and finally, generating a grabbing block diagram of a grabbing target. On the basis of a model ResNet 50, a region proposal network is used in the 30th layer of a network, fuzzy positioning is performed on the position of a grabbing point, feature information of high and low layers is fully fused to strengthen the utilization of information of low layers, and an SENet structure is added to the 40th layer of the network, thereby further increasing the detection accuracy of a grabbing point.

Abstract: A system and method for providing personalized assistance in a virtual environment is disclosed. A plurality of trigger events is stored in memory, each trigger event based on a user interaction in the virtual environment. Data sent over a communication network regarding gameplay of a user associated with a media title engaged in the virtual environment is received. Play characteristics exhibited by the user based on the received data are identified. One or more user generated content streams that meet conditions of an identified one or more trigger events are identified. Identified streams are ranked based on a match between the play characteristics exhibited by the user and metadata of each of the identified streams. A display of the ranked streams is provided, wherein the display includes an analysis of the match.

Abstract: Techniques for improving a user video game experience are described. In an example, a computer system accesses videos showing separate completions of an activity by a plurality of video game players. From a definition of the activity, it is determined that the activity is a parent of sub-activities. Links to video portions of the videos are generated, wherein each video portion corresponds to a sub-activity. A score is generated for each video portion based on a relevance of each video portion to a user. The links are presented in a user interface to the user based on the score for each video portion, wherein upon selection of a first link, the user interface displays a first video to the user starting at a first video portion showing a completion of a sub-activity by a video game player.

Abstract: A power assembly and a vehicle in the field of driving technologies are provided. The power assembly includes a housing, a first rotating shaft, a second rotating shaft, and a preloaded part. The first rotating shaft is located in the housing by using two bearings, the second rotating shaft is located in the housing by using one bearing, and the second rotating shaft can slide in an axial direction. A first coupling portion is disposed on the first rotating shaft, a second coupling portion is disposed on the second rotating shaft, and the first coupling portion is coupled to the second coupling portion, so that the first rotating shaft and the second rotating shaft rotate synchronously.

Abstract: Techniques for improving a user video game experience are described. In an example, a computer system receives event data from a plurality of user devices. Each event data includes an identifier of an activity in a video game and data and an identifier of a mechanic used to complete the activity. The identifiers can be predefined in program code of the video game. The identifiers data can be received based on an execution of the program code. The event data is processed to determine, for a user that has not completed the activity, a readiness of the user to perform the activity. Depending on the readiness, the activity can be suggested in a user interface element.

Abstract: Techniques for improving a user video game experience are described. In an example, a computer system receives event data from a plurality of user devices. Each event data includes an identifier of an activity in a video game and data indicating completion of the activity. The identifier can be predefined in program code of the video game. The identifier and completion data can be received based on an execution of the program code. The event data is processed to provide assistance videos to improve activity completion rates in the video game. The videos may be presented on the plurality of user devices.

Abstract: The disclosure provides a method for processing a video, an electronic device, and a computer storage medium. The method includes: determining a plurality of first identifiers related to a first object based on a plurality of frames including the first object in a target video; determining a plurality of attribute values associated with the plurality of first identifiers based on a knowledge base related to the first object; determining a set of frames from the plurality of frames, in which one or more attribute values associated with one or more first identifiers determined from each one of the set of frames are predetermined values; and splitting the target video into a plurality of video clips based on positions of the set of frames in the plurality of frames.

Abstract: Embodiments of the present provide a method and a device for processing an image, server and storage medium. The method includes: determining, based on an object type of an object in an image to be processed, a feature expression of the object in the image to be processed; and determining an entity associated with the object in the image to be processed based on the feature expression of the object in the image to be processed and a feature expression of an entity in a knowledge graph.

Abstract: Systems and methods are provided for generating reports reflecting a visualization of, e.g., a dataset on which data analysis has been performed. The data analysis performed on the dataset may be an aggregation of data analysis functionality provided by applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updating one or more elements of the dataset are reconciled by implementing a dual operational transform system and method. A global state of the dataset may be determined by a first operational transform system and method, while a local state of the dataset may be determined by a second operational transform system and method. The local state of the dataset may be updated through operational transforms exchanged between the first and second operational transform systems that align the local state of the dataset with the global state of the dataset.