Abstract: A method for manufacturing recycled aluminum includes: disposing an aluminum alloy anode and a cathode in a facing manner in a molten salt, supplying a current between the aluminum alloy anode and the cathode at a temperature at which the aluminum alloy anode is in a solid state and the molten salt is in a liquid state to dissolve the aluminum alloy anode, and depositing an aluminum precipitate on the cathode.

Abstract: A rhamnolipid ester is useful as a cosmetic additive. A method of its production involves providing at least one rhamnolipid, reacting the at least one rhamnolipid with at least one coupling reagent, reacting the at least one rhamnolipid with a polyhydric alcohol having 1 to 32 carbon atoms, and optionally purifying the at least one rhamnolipid ester.

Abstract: A data processing method and a server are provided. In various embodiments, a service request for invoking the meta service is received, where the service request matches metadata of the meta service. In those embodiments, the service request is converted into a cloud service request packet based on metadata of a cloud service corresponding to the meta service, where the cloud service request packet matches the metadata of the meta service. Still in those embodiments, the cloud service request packet is sent to invoke the cloud service, and a cloud service response packet is received, where the cloud service response packet is an invocation result obtained by invoking the cloud service. Also in those embodiments, the cloud service response packet is then converted into a service response that matches the metadata of the meta service and sending the service response.

Abstract: A semiconductor device includes a vertical column of wire bonds on substrate contact fingers of the device. Semiconductor dies are mounted on a substrate, and electrically coupled to the substrate such that groups of semiconductor dies may have bond wires extending to the same contact finger on the substrate. By bonding those wires to the contact finger in a vertical column, as opposed to separate, side-by-side wire bonds on the contact finger, an area of the contact finger may be reduced.

Abstract: A method for characterising motion of one or more objects in a time ordered image dataset comprising a plurality of time ordered data frames, the method comprising: selecting a reference data frame from the plurality of time ordered data frames (210); extracting a plurality of image patches from at least a part of the reference data frame (220); identifying a location of each image patch of at least a subset of the plurality of image patches in each data frame (230); defining, based on the identified locations, a mesh for each data frame, wherein vertices of each mesh correspond to respective identified locations of image patches in the corresponding data frame (240); and deriving, from the meshes, a motion signature for the time ordered image dataset, the motion signature characteristic of the motion of the one or more objects in the plurality of time ordered data frames (250).

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 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: 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: 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: The invention provides an assay for identifying a bacterium capable of binding elemental heavy metal, comprising the following steps: cultivating a test bacterium in a suitable first culture medium; immersing at least a surface portion of a test tool into the first culture medium for a second predetermined period of time, said surface portion being coated by elemental heavy metal, respectively; removing said test tool from said first culture medium and optionally rinsing the test tool; contacting a second culture medium with the surface portion coated by elemental heavy metal of said test tool removed in the previous step; and identifying the test bacterium as being capable of binding elemental heavy metal from growth of the test bacterium in said second culture medium.

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.