Abstract: Provided are a crystal form and amorphous form of carebastine p-toluenesulfonate, and a preparation method therefor, relating to the field of medicinal chemistry, for use in solving the problems in the prior art that carebastine is unstable, not easy to scale up for synthesis, and difficult to make into a drug and the like. The crystal form and amorphous form of carebastine p-toluenesulfonate have the characteristics of high purity, high stability, high bioavailability, easy scale-up synthesis, and industrial production and the like, and have excellent hygroscopicity for easy storage.

Abstract: Aspects of the subject disclosure may include, for example, obtaining first information indicative of data plane utilization, wherein the data plane is associated with a wireless communications network; obtaining second information indicative of control plane utilization, wherein the control plane is associated with the wireless communications network; applying the first information and the second information to one or more machine learning algorithms; and generating via the one or more machine learning algorithms one or more outputs, wherein the one or more outputs indicates whether one or more network resources should be added to improve the data plane utilization. Other embodiments are disclosed.

Abstract: Provided are system, method, and device for testing a vehicle software. According to example embodiments, the system may include: a memory storage storing computer-executable instructions; and at least one processor communicatively coupled to the memory storage, wherein the at least one processor may be configured to execute the instructions to: generate a graphical user interface; receive a search input from a user at the search area of the graphical user interface; display one or more test steps associated with the search input at the test steps area of the graphical user interface; receive a selection input selecting one of the one or more test steps displayed at the test steps area from the user; and enter a code associated with the selected one of the one or more test steps in the first portion of the graphical user interface.

Abstract: Provided is a pharmaceutical composition and application thereof, specifically, said pharmaceutical composition comprises: salvianolic acid B as a first active ingredient; and ginsenoside Rg1 as a second active ingredient, and the weight ratio of the first active ingredient to the second active ingredient being 5:(1-4.5). The pharmaceutical composition has a better active-ingredient proportion than the prior art, has a better therapeutic efficacy in preventing and/or treating ischemic diseases, and ischemia-reperfusion tissue or organ damage, and can be used for treating ischemia and/or ischemia-reperfusion damage of different tissues and organs.

Abstract: Provided are system, method, and device for testing a vehicle software. According to example embodiments, the system may include: a memory storage storing computer-executable instructions; and at least one processor communicatively coupled to the memory storage, wherein the at least one processor may be configured to execute the instructions to: generate a graphical user interface comprising at least a first portion and a second portion, where the first portion may include one or more elements of a test environment, and where the second portion may include a log area; receive a selection input selecting one of the one or more elements displayed at the first portion from a user; and in response to receiving the selection input, display a test log associated with only the selected one of the one or more elements at the log area.

Abstract: Provided are system, method, and device for testing a vehicle software. According to example embodiments, the system may include: a memory storage storing computer-executable instructions; and at least one processor communicatively coupled to the memory storage, wherein the at least one processor may be configured to execute the instructions to: obtain a configuration data of a vehicle; determine a plurality of vehicle elements associated with the vehicle based on the obtained configuration data; determine a connection between one of the plurality of vehicle elements and another of the plurality of vehicle elements based on the obtained configuration data; and display the determined plurality of vehicle elements and the determined connection in a graphical user interface.

Abstract: Provided are system, method, and device for testing a vehicle software. According to example embodiments, the system may include: a memory storage storing computer-executable instructions; and at least one processor communicatively coupled to the memory storage, wherein the at least one processor may be configured to execute the instructions to: receive one or more natural language codes from a first user; determine whether the received one or more natural language codes include one or more new natural language codes that do not correspond to any of one or more programming language codes stored in the memory storage; in response to determining that the received one or more natural language codes include the one or more new natural language codes, transmit the one or more new natural language codes to a second user; and receive one or more new programming language codes from the second user.

Abstract: The present disclosure provides a slope reinforcing and protecting device for hydraulic engineering. The device includes a connecting base body, where an upper end of the connecting base body is fixedly connected to a protection assembly, and a fastening assembly is arranged in the protection assembly for supporting. A protection net is connected around an outer side of the connecting base body.

Abstract: The present disclosure relates to the technical field of computer vision and digital image processing, and more particularly to a light field encoded imaging method and apparatus for a scattering scene. The method includes: obtaining scattering light field data, and extracting a refocusing focal stack corresponding to different offset pixels between views from the scattering light field data; transforming an image in the refocusing focal stack into a saturation domain to form a processed focal stack; comparing boundary sharpness degrees of each region in the processed focal stack when refocusing by different offset pixels, and extracting offset pixels corresponding to the sharpest boundary of each region by using a 1-norm operator; and converting the offset pixels into a depth map of a target based on data parameters of the light field.

Abstract: In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

Abstract: Methods and apparatus automatically identify which Internet-of-Things (IoT) devices within a set are behaving in a manner non-compliant with a target behavior. Each IoT device is assigned to a grid point in a notional m-dimensional space. A respective assessment module is arranged to monitor behavior of a group of IoT devices assigned to grid points aligned with one another at a respective position along the respective dimension, and to produce an output indicative of non-compliant behavior if the monitoring indicates that behavior in the group of IoT devices deviates from a behavioral model of the IoT devices of said group. An identification module identifies at least one non-compliant IoT device in the set of IoT devices by combining outputs from the assessment modules assigned to the different dimensions of the space. The assessment modules may use trained machine-learning algorithms embodying a model of normal behavior of the group of devices.

Abstract: The present disclosure discloses an omni-directional weld seam tracking laser vision sensor, a sensing method, and a welding apparatus, relating to the field of welding automation. The sensor includes a sensor housing, a mounting bracket, a filter, a laser, and at least three cameras. The cameras surround a welding gun mounting hole and are uniformly distributed in a peripheral direction; the cameras are configured to capture a laser-closed stripe image formed by a laser beam emitted by the laser; the filter is positioned at the front end of the camera, the wavelength of the light allowed to be passed through is the same as the wavelength of the laser beam emitted by the laser; and the sensor further includes an image processing module arranged in the sensor housing, configured to connect the camera, to receive image information captured by the camera.

Abstract: The embodiments of the present disclosure provide a substrate device and a semiconductor package, the substrate device includes: first insulating layers and first functional layers stacked alternately, each of the first functional layers having a metal pattern, where the metal pattern includes an inductance coil, and the substrate device is adaptable for being positioned on a substrate.

Abstract: Provided is a modified cellulose, a preparation method and application thereof. The modified cellulose includes a flame retardant cellulose ester film, and the preparation method includes: obtaining a homogeneous cellulose solution by adding a cellulose to an ionic liquid cosolvent system; obtaining a cellulose phosphite ester solution by adding dimethyl phosphite and a catalyst to the homogeneous cellulose solution for performing a transesterification; obtaining cellulose phosphite ester powder by regeneration solvent precipitation, washing, centrifugation, and drying of the cellulose phosphite ester solution; and obtaining the flame retardant cellulose ester film by evaporating solvent after dissolving the cellulose phosphite ester powder in dimethyl sulfoxide.

Abstract: In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

Abstract: This application relates to a content push method performed by a computer device, including: determining candidate mixed content in response to a content push request from an object, the mixed content including first-type content and second-type content; determining a first priority push probability of the first-type content based on the object attribute information, the overall content feature, and the dynamic resource input feature; analyzing a priority push relationship between the content features of all pieces of second-type content, to obtain an internal priority push feature, and performing inter-type priority push relationship analysis based on the object attribute information, the internal priority push feature, and the dynamic resource input feature, to determine second priority push probabilities respectively corresponding to all pieces of second-type content; and selecting content from the mixed content for push based on the first priority push probability and the second priority push probabilitie