Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations. The operations may include determining an application programming interface (API) version dependency between a first microservice and a second microservice; the first microservice and the second microservice are in a set of dependent microservices. The method may include detecting an incompatible API version in the set of dependent microservices, automatically requesting a version change for the incompatible programming interface version, and implementing the version change.

Abstract: An image processing method and apparatus, and a device and a storage medium. The method includes: in response to a received service execution instruction, identifying a target object in a video stream which is captured in real time, and determining position information of the target object in the video stream; displaying a virtual model on the target object in the video stream according to the position information; playing a target audio on loop, and controlling, according to the target audio, the virtual model to display a corresponding animation expression.

Abstract: A method and system of training an interpretable deep learning model includes receiving an input set of data, which may be complex. The input set of data is provided to deep learning model for feature extraction. In an exemplary embodiment, the deep learning model generates a disentangled latent space of features from the feature extraction. The features may comprise semantically meaningful data which is then provided to a low-complexity learning model. The low-complexity learning model generates output based on a specified task (for example, classification or regression). Being a low-complexity learning model provides confidence that the data output from the deep learning model is inherently interpretable.

Abstract: A method for preparing self-doped titanium-niobium oxide negative electrode material using a waste titanium dioxide carrier includes preparing self-doped TiNb2O7 negative electrode material for lithium-ion battery by using waste titanium dioxide carrier comprises the following steps: S1. converting a waste titanium dioxide carrier into TiO2 powder with the Ti content of ?95% and the Al content of 0.1-4.0%, based on the weight of oxide, respectively; and S2. mixing the TiO2 powder and Nb2O5 powder to form a mixture, roasting the mixture, and collecting the generated Al self-doped TiNb2O7, so as to obtain the self-doped TiNb2O7 negative electrode material. According to the method disclosed by the present invention, impurities represented by TiO2 and Al2O3 in the waste titanium dioxide carrier can be directly recycled, a self-doped TiNb2O7 (titanium niobium oxide) negative electrode material.

Abstract: A semiconductor device includes a nitride-based transistor, a first metal layer, a second metal layer, a third metal layer, a source pad, and a drain pad. The first metal layer is disposed over the nitride-based transistor. The second metal layer is disposed over the first metal layer. The third metal layer is disposed over the second metal layer and includes a first pattern and a second pattern which are spaced apart from each other. The source pad is immediately above the first metal layer, the second metal layer, and the first pattern of the third metal layer and is electrically coupled with the nitride-based transistor. The drain pad is immediately above the first metal layer, the second metal layer, and the second pattern of the third metal layer and is electrically coupled with the nitride-based transistor.

Abstract: A method for preparing molybdenum-based self-doped lithium-ion battery negative electrode material from molybdenum-containing waste catalyst includes: (1) calcinating and mechanically activating a waste hydrogenation catalyst containing molybdenum trioxide and aluminum oxide to obtain an oil-free and carbon-free micron-sized waste catalyst powder; (2) mixing the waste catalyst powder with sodium carbonate to obtain a mixture, and subjecting the mixture to thermal treatment to selectively convert molybdenum trioxide in the waste catalyst into sodium molybdate to obtain a clinker; (3) subjecting the clinker to leaching with water being used as a leaching agent, and collecting a leaching solution; and (4) mixing the leaching solution with a solution of a polyol containing a ferrous salt, subjecting the resulting mixture to a hydrothermal reaction, and collecting produced self-Al-doped ferrous molybdate to obtain the molybdenum-based self-doped lithium-ion battery negative electrode material.

Abstract: A method includes 1) removal oil from aluminum-based platinum rhenium-containing spent catalysts; 2) mixing the spent catalyst and sodium hydroxide powder and heating in an oxygen-free environment to obtain a clinker; 3) leaching the clinker in a weakly alkaline aqueous solution to obtain a first leach solution containing the elements Al and Re and a first leach residue containing Pt and Re; 4) converting the first leaching solution into a sodium meta-aluminate solution and a sodium perrhenate solution; 5) adding an aqueous solution of an acidic reagent and an aqueous solution of an oxidizing reagent to the first leaching residue for oxidizing acid leaching to obtain a second leaching solution containing precursors including platinum and rhenium; 6) reducing and loading the precursors on a carbon carrier to obtain the modified platinum based catalyst for fuel cell. The method enables the recovery of Re and Al elements from spent catalysts.

Abstract: The application provides a method, a device, and a non-transitory computer-readable storage medium for simultaneous localization and mapping initialization. In the method, an operation of removing influence of rotation is performed to a predetermined number of continuous frame images that are obtained, and then initial key frames are screened, with a pre-built adaptive-sized sliding window, from the predetermined number of continuous frame images after the operation and the initial key frames are used for initialization.

Abstract: Processing within a computing environment is facilitated by determining a set of microservices needed to execute a microservice test suite in a test environment, where the test environment is an active microservice test environment with a plurality of microservices. The process also includes determining that the test environment lacks sufficient resources to run the microservice test suite with the set of microservices, and dynamically removing at least one microservice of the plurality of microservices from the test suite not needed to execute the microservice test suite to free test environment resources for executing the microservice test suite with the set of microservices. The process also includes initiating executing, based on the dynamically removing, the microservice test suite in the test environment.

Abstract: Embodiments of the present disclosure provide a video processing method and device, and an electronic device. The method includes: acquiring a first video frame to be processed; segmenting the first video frame to acquire a patch corresponding to a target object and a patch region; acquiring position information of three-dimensional points within the patch region, and determining, according to the position information of the three-dimensional points within the patch region, three-dimensional position information of the patch; displaying, based on the three-dimensional position information of the patch, the patch at a position corresponding to at least one second video frame.

Abstract: The disclosure provides a method, device and storage medium for back-end optimization of simultaneous localization and mapping. In the method, a target three-dimensional space point is determined in three-dimensional space points of a plurality of key frames located by a simultaneous localization and mapping system. In addition, a reprojection error is determined based on the target three-dimensional space point, and a weight is provided for the reprojection error by preprocessing the maximum parallax corresponding to the target three-dimensional space point, to obtain the relative reprojection error.

Abstract: According to an aspect, a computer-implemented method includes intercepting a call to invoke execution of a service as part of performing a synchronous transaction. A current state of the synchronous transaction is captured and persisted in a transaction object corresponding to the synchronous transaction. Execution of the service is invoked.

Abstract: A semiconductor device includes a nitride-based transistor, a first metal layer, a second metal layer, a third metal layer, a source pad, and a drain pad. The first metal layer is disposed over the nitride-based transistor. The second metal layer is disposed over the first metal layer. The third metal layer is disposed over the second metal layer and includes a first pattern and a second pattern which are spaced apart from each other. The source pad is immediately above the first metal layer, the second metal layer, and the first pattern of the third metal layer and is electrically coupled with the nitride-based transistor. The drain pad is immediately above the first metal layer, the second metal layer, and the second pattern of the third metal layer and is electrically coupled with the nitride-based transistor.

Abstract: A method and system of training an interpretable deep learning model includes receiving an input set of data, which may be complex. The input set of data is provided to deep learning model for feature extraction. In an exemplary embodiment, the deep learning model generates a disentangled latent space of features from the feature extraction. The features may comprise semantically meaningful data which is then provided to a low-complexity learning model. The low-complexity learning model generates output based on a specified task (for example, classification or regression). Being a low-complexity learning model provides confidence that the data output from the deep learning model is inherently interpretable.