Abstract: A non-spectral computed tomography scanner includes a radiation source configured to emit x-ray radiation, a detector array configured to detect x-ray radiation and generate non-spectral data, and a memory configured to store a spectral image module that includes computer executable instructions including a neural network trained to produce spectral volumetric image data. The neural network is trained with training spectral volumetric image data and training non-spectral data. The non-spectral computed tomography scanner further includes a processor configured to process the non-spectral data with the trained neural network to produce spectral volumetric image data.

Abstract: Embodiments of the present disclosure disclose a display method, apparatus, device and storage medium. The method includes: displaying a media stream display interface, the media stream display interface including first media content, the media stream including first media content and second media content; in response to determining that predetermined media content switching for the media stream display interface is detected, switching the first media content of the media stream display interface to the second media content; where the second media content or the first media content includes information of a predetermined theme and a predetermined control associated with the predetermined theme, and the predetermined control is configured to post target content associated with the predetermined theme.

Abstract: The embodiments of the present disclosure relate to a method and an apparatus a device, and a medium for posting a video or image. In one exemplary method, present a capturing interface comprising a capturing user interface element. In response to detecting activation of the capturing user interface element in the capturing interface, generate a captured video or image and displaying an editing interface for editing the captured video or image, the editing interface comprising a posting user interface element for posting the captured video or image. In response to detecting activation of the posting user interface element, post the captured video or image. The user may quickly post a captured video by means of a story or a quick post function, being beneficial to increasing the positivity of the user to participate in the creation of short video and increasing user stickiness.

Abstract: Executing serverless application functions is provided. A response to a user request for a service is received with an include callback parameter and a transaction identifier of the user request included in a header of the response from an external service via a network. A checkpoint of a container corresponding to the service is retrieved from a data store using the transaction identifier of the user request. The container corresponding to the service is restored using the checkpoint to process the response received from the external service.

Abstract: In an approach to improve workload orchestration in a multi-cloud environment, embodiments orchestrate and manage a workload in a decentralized multi-cloud environment using one or more smart contracts. Additionally, embodiments measure, by a competency measurement component, competency of cloud services based on one or more predefined cloud benchmarks, a consensus network, and the one or more smart contracts, and generate an orchestration plan that is a best fit for the workload. Furthermore, embodiments validate and update, by the consensus network and the one or more smart contracts, the generated orchestration plan, and executing the generated orchestration plan.

Abstract: In an approach to intelligent scaling in a cloud platform, an attribute template is stored for one or more target services based on one or more system data. One or more request metrics for each target service is stored, wherein the request metrics are based on an analysis of one or more incoming requests of one or more service call chains. Responsive to receiving a request for a target service in a service call chain, the target service is scaled based on the attribute template of the target service and the request metrics of the target service.

Abstract: In an approach to intelligent scaling in a cloud platform, an attribute template is stored for one or more target services based on one or more system data. One or more request metrics for each target service is stored, wherein the request metrics are based on an analysis of one or more incoming requests of one or more service call chains. Responsive to receiving a request for a target service in a service call chain, the target service is scaled based on the attribute template of the target service and the request metrics of the target service.

Abstract: The disclosure relates to a glutinous millet nutrition milk taking glutinous millet as raw material, and preparation process thereof, and particularly relates to a glutinous millet nutrition milk or compound glutinous millet nutrition milk taking the rust-proofing and glutinous foxtail millet variety of “Ji Chuang 1” glutinous millet as raw material and preparation process thereof. The glutinous millet nutrition milk or compound glutinous millet nutrition milk prepared by the method has the characteristics that the emulsion is stable, it will neither become aged nor coagulate or precipitate after long-term storage, and it does not need to add any anticoagulant stabilizer, which is more environmental friendly and healthy; its products utilize the rich nutrition of the millet, digests and absorbs easily, and tastes delicately.