Abstract: The invention relates to a dispersion containing at least one rhamnolipid derivative and also to the use of the rhamnolipid derivatives as emulsifier or dispersing aid.

Abstract: A communications system which includes a first data center and a second data center, where the first data center includes a first message proxy, a first routing proxy, a service server, and a storage server and configured to receive a first message from an application running on the service server, add routing information to the first message to generate a second message when the first message is processed by the second data center, and store the second message in a public area of the storage server, where the public area is configured to store a message processed by the second data center. The first routing proxy is configured to obtain the second message from the public area, and send the second message to the second data center based on the routing information.

Abstract: The present invention provides a high-strength and high-plasticity titanium matrix composite and a preparation method thereof. The preparation method includes: preparing high-oxygen hydride-dehydride titanium powder using a high-temperature rotary ball grinding treatment process, in which the prepared hydride-dehydride titanium powder has a particle size of 10-40 ?m, and has an oxygen content of 0.8-1.5 wt. %; preparing high-purity ultra-fine oxygen adsorbent powder using a wet grinding method of high-energy vibration ball grinding treatment process; in which a purity of the oxygen adsorbent powder is ?99.9%, and a particle size of the oxygen adsorbent powder is ?8 ?m; mixing the high-oxygen hydride-dehydride titanium powder with the oxygen adsorbent powder in a protective atmosphere, and then press-forming the powder obtained after mixing to obtain a raw material blank; and performing atmosphere protective sintering treatment on the raw material blank to obtain a titanium matrix composite.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate refined segmentation masks for digital visual media items. For example, in one or more embodiments, the disclosed systems utilize a segmentation refinement neural network to generate an initial segmentation mask for a digital visual media item. The disclosed systems further utilize the segmentation refinement neural network to generate one or more refined segmentation masks based on uncertainly classified pixels identified from the initial segmentation mask. To illustrate, in some implementations, the disclosed systems utilize the segmentation refinement neural network to redetermine whether a set of uncertain pixels corresponds to one or more objects depicted in the digital visual media item based on low-level (e.g., local) feature values extracted from feature maps generated for the digital visual media item.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for generating artistic images by applying an artistic-effect to one or more frames of a video stream or digital images. In one or more embodiments, the disclosed system captures a video stream utilizing a camera of a computing device. The disclosed system deploys a distilled artistic-effect neural network on the computing device to generate an artistic version of the captured video stream at a first resolution in real time. The disclosed system can provide the artistic video stream for display via the computing device. Based on an indication of a capture event, the disclosed system utilizes the distilled artistic-effect neural network to generate an artistic image at a higher resolution than the artistic video stream. Furthermore, the disclosed system tunes and utilizes an artistic-effect patch generative adversarial neural network to modify parameters for the distilled artistic-effect neural network.

Abstract: A cell structure for a field effect transistor having same gate and source doping includes: a silicon carbide substrate with a doping type of a first conductivity type; a semiconductor epitaxial layer of the first conductivity type and a first electrode respectively provided on front and back faces of the silicon carbide substrate; and a floating region of a second conductivity type, a gate implantation region of the first conductivity type, and a source implantation region of the first conductivity type sequentially provided on the semiconductor epitaxial layer of the first conductivity type, wherein a gate is provided on the gate implantation region, a source is provided on the source implantation region, an inter-electrode dielectric is provided between the gate implantation region and the source implantation region, and the inter-electrode dielectric is used for isolating the gate from the source.

Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for utilizing a machine learning model trained to determine subtle pose differentiations to analyze a repository of captured digital images of a particular user to automatically capture digital images portraying the user. For example, the disclosed systems can utilize a convolutional neural network to determine a pose/facial expression similarity metric between a sample digital image from a camera viewfinder stream of a client device and one or more previously captured digital images portraying the user. The disclosed systems can determine that the similarity metric satisfies a similarity threshold, and automatically capture a digital image utilizing a camera device of the client device. Thus, the disclosed systems can automatically and efficiently capture digital images, such as selfies, that accurately match previous digital images portraying a variety of unique facial expressions specific to individual users.

Abstract: A method for displaying screen information includes obtaining visitor information of a visitor of a display device. Once a page to be visited by the visitor is determined, a current color scheme for at least one controllable element of the page to be visited is determined according to the visitor information and a page type of the page to be visited.

Abstract: A circuit board assembly includes an inner circuit substrate, a first outer circuit substrate, a second outer circuit substrate, a heat conducting block, an electronic component, and a reinforcing plate. The first outer circuit substrate and second outer circuit substrate are disposed on surfaces of the inner circuit substrate. The heat conducting block penetrates through the inner circuit substrate and connects to the first outer circuit substrate and the second outer circuit substrate. The heat conducting block made of aluminum nitride. An electronic component at least partially accommodated in the heat conducting block. The reinforcing plate is disposed on a surface of the second outer circuit substrate corresponding to the electronic component and faces away from the electronic component. The present disclosure further provides a method for manufacturing the circuit board assembly.

Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for accurately and efficiently removing objects from digital images taken from a camera viewfinder stream. For example, the disclosed systems access digital images from a camera viewfinder stream in connection with an undesired moving object depicted in the digital images. The disclosed systems generate a temporal window of the digital images concatenated with binary masks indicating the undesired moving object in each digital image. The disclosed systems further utilizes a 3D to 2D generator as part of a 3D to 2D generative adversarial neural network in connection with the temporal window to generate a target digital image with the region associated with the undesired moving object in-painted. In at least one embodiment, the disclosed systems provide the target digital image to a camera viewfinder display to show a user how a future digital photograph will look without the undesired moving object.

Abstract: A projection method is provided. The method includes acquiring an image of a real scene using the camera. A target object is identified from the image of the real scene, and a target area is determined according to the target object. In response to a projection command, a projection content of a virtual scene is acquired. The projection content or a part of the projection content is projected outside the target area using a projection device.

Abstract: In a method for embedding user information in webpages, user information of a user who logs into a target website is obtained. The user information is converted into color values. The color values are embedded in a target webpage of the target website. If a webpage is leaked, a user who leaks the webpage can be traced.

Abstract: In a method for embedding user information in webpages, user information of a user who logs into a target website is obtained. The user information is converted into color values. The color values are embedded in a target webpage of the target website. If a webpage is leaked, a user who leaks the webpage can be traced.

Abstract: The present disclosure relates to training and utilizing an image exposure transformation network to generate a long-exposure image from a single short-exposure image (e.g., still image). In various embodiments, the image exposure transformation network is trained using adversarial learning, long-exposure ground truth images, and a multi-term loss function. In some embodiments, the image exposure transformation network includes an optical flow prediction network and/or an appearance guided attention network. Trained embodiments of the image exposure transformation network generate realistic long-exposure images from single short-exposure images without additional information.

Abstract: A method for displaying screen information includes obtaining visitor information of a visitor of a display device. Once a page to be visited by the visitor is determined, a current color scheme for at least one controllable element of the page to be visited is determined according to the visitor information and a page type of the page to be visited.

Abstract: A method includes determining whether an inference framework for a deep learning inference framework supports a first data arrangement scheme of a machine learning inference model; determining, in response to the inference framework not supporting the first data arrangement scheme, a data arrangement scheme conversion strategy of input data and output data of an inference operator of the inference framework, based on a dimension of the input data received by the inference operator, a dimension of the output data output corresponding to the input data, and a correlation between the inference operator and the data arrangement scheme; and converting either a data arrangement scheme of the input data or the output data of the inference operator based on the determined data arrangement scheme conversion strategy.

Abstract: Consumer and industrial 2-in-1 alkaline ware washing compositions providing both detergency and rinseability in a single cleaning composition are disclosed. Further benefits can be achieved with low levels of rinse aid surfactants in a rinse additive following the alkaline ware washing composition, including levels of rinse additive surfactant of about 500 ppm surfactant or less. Alkaline ware washing compositions and methods of using the same provide user-friendly, solid, ware washing compositions without the need for using a separate rinse aid composition.

Abstract: Predicting patch displacement maps using a neural network is described. Initially, a digital image on which an image editing operation is to be performed is provided as input to a patch matcher having an offset prediction neural network. From this image and based on the image editing operation for which this network is trained, the offset prediction neural network generates an offset prediction formed as a displacement map, which has offset vectors that represent a displacement of pixels of the digital image to different locations for performing the image editing operation. Pixel values of the digital image are copied to the image pixels affected by the operation.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate refined segmentation masks for digital visual media items. For example, in one or more embodiments, the disclosed systems utilize a segmentation refinement neural network to generate an initial segmentation mask for a digital visual media item. The disclosed systems further utilize the segmentation refinement neural network to generate one or more refined segmentation masks based on uncertainly classified pixels identified from the initial segmentation mask. To illustrate, in some implementations, the disclosed systems utilize the segmentation refinement neural network to redetermine whether a set of uncertain pixels corresponds to one or more objects depicted in the digital visual media item based on low-level (e.g., local) feature values extracted from feature maps generated for the digital visual media item.