Abstract: A method includes obtaining, using at least one processing device of an electronic device, raw image frames of a scene. The raw image frames include different sets of raw image frames captured at different viewpoints and different viewing angles relative to the scene. The method also includes performing, using the at least one processing device, blending of each set of raw image frames in order to generate blended image frames of the scene. The method further includes training, using the at least one processing device, a machine learning model using the blended image frames. The machine learning model is trained to generate three-dimensional (3D) information about the scene from viewpoints and viewing angles not captured in the sets of raw image frames.

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: Managing security access in real-time to a computer system using control lists includes detecting a security event at a computer system. The security event is analyzed including an analysis of a historical corpus having historical data of security events. An access control list is generated based on the security event. A determination is made when the security event includes abnormal behavior based on the analysis of the security event and the historical corpus. The security event is published to a monitoring system for controlling access to the computer system, in response to the security event.

Abstract: Described herein are human antibody agents and multi-specific binding agents that specifically bind human CD 19, in particular, native human CD 19. Also provided herein are methods of using the same or compositions thereof for the detection, prevention and/or therapeutic treatment of diseases characterized by CD 19 expression, in particular, B cell lymphomas and leukemias.

Abstract: Techniques are described for linked blockchains that allow computing devices to access information from an acceptance blockchain about acceptance reports stored in an enterprise delivery blockchain that are also linked to a product blockchain that stores information of the products of the acceptance reports. An acceptance report is indicative of operability of a product in a service provided by a service provider. A processor is configured to access the block in the enterprise delivery blockchain, retrieve the acceptance report from the block in the enterprise delivery blockchain, determine an identifier, identified in the block in the enterprise delivery blockchain, to a block in an acceptance blockchain, access the block in the acceptance blockchain via the determined identifier, retrieve from the block in the acceptance blockchain contextual information of the acceptance report, and output the acceptance report and contextual information of the acceptance report.

Abstract: Methods and systems for metering computing resources in cloud computing environments are disclosed. A method includes: executing, by a computing device, computing tasks on computing resources; determining, by the computing device, an amount of time and an amount of power used in the executing the computing tasks on the computing resources; determining, by the computing device, a number of standard units consumed by the computing tasks based on the determined amount of time and the determined amount of power; and metering, by the computing device, the computing resources based on the determined number of standard units consumed by the computing tasks.

Abstract: Managing network interactions by engaging a networked information broadcast service, receiving information from the networked information broadcast service, filtering the information according to a profile, and sending information according to the filtered information using another network communications connection.

Abstract: System and methods for adaptive multi-granularity event groupings are provided. In embodiments, a method includes: determining to group IT operations data at a first level of granularity for similar events or at a second level of granularity for related events based on user input of a data grouping event; parsing, by an event parser, the IT operations data into one or more groups of similar events based on text information and parser rules in response to determining to group the IT operations data at the first level of granularity; obtaining user feedback indicating the one or more groups of similar events require modification; determining one or more keywords of the IT operations data using an artificial intelligence model in response to the user feedback; and updating the parser rules for the event parser based on the one or more keywords, thereby generating updated parser rules.

Abstract: An approach is provided that trains an artificial intelligence (AI) system, such as a neural network, to process IT ticket data. The approach receives IT tickets from various ticket sources. Ticket vectors corresponding to each of the IT tickets are computed. An analysis is performed using the ticket vectors and a node vector that corresponds to a network topology. The analysis is performed using a corpus of IT ticket data. An IT ticket model used by the AI system is trained based on the analysis. Responses are provided to requestors of the AI system using the trained IT ticket model.

Abstract: A computer-implemented method, computer system, and computer program product for blockchain enabled service reservation and delegation. The present invention may include receiving one or more first or second trigger conditions defined by a user, detecting an occurrence of the one or more first trigger conditions, deploying a smart contract based on the received one or more first trigger condition, detecting an occurrence of the one or more second trigger conditions, and deactivating the smart contract based on the received one or more second trigger conditions. The present invention may include receiving a subject registration, the subject is the user, a service, or a device. The one or more first trigger conditions may be a condition that upon its occurrence may initiate the deployment of the smart contract. The one or more second trigger conditions may be a condition that upon its occurrence may initiate the deactivation of the smart contract.

Abstract: Managing security access in real-time to a computer system using control lists includes detecting a security event at a computer system. The security event is analyzed including an analysis of a historical corpus having historical data of security events. An access control list is generated based on the security event. A determination is made when the security event includes abnormal behavior based on the analysis of the security event and the historical corpus. The security event is published to a monitoring system for controlling access to the computer system, in response to the security event.

Abstract: Embodiments of the present disclosure relate to requirement-based resource sharing in a computing environment. In an embodiment, a computer-implemented method is disclosed. According to the method, it is determined whether a plurality of services to be provisioned in a computing environment match with each other in resource consumption based on respective resource requirements of the plurality of services. In response to determining that the plurality of services match with each other, a resource pool is allocated in the computing environment to be shared by the plurality of services. The resource pool has a resource quota determined based on at least one of the resource requirements. The plurality of services is caused to be provisioned in the computing environment using the resource pool. In other embodiments, a computer system and a computer program product are disclosed.

Abstract: Methods and systems for selecting a tool for a project is described. In an example, a processor can run a machine learning model to generate a set of requirements to implement a project. The processor can identify a keyword from the set of requirements. The processor can search for the keyword on a search engine. The processor can receive a search result from the search engine corresponding to the keyword. The processor can identify, based on the search result, a tool that can be used to implement the project, where the tool can be in compliance with the set of requirements.

Abstract: The disclosure discloses cathelicidin-expressing lactic acid bacteria, and belongs to the technical field of genetic engineering. The disclosure constructs Lactococcus. lactis and Lactobacillus. plantarum expressing a CRAMP protein by optimizing the nucleotide sequence of the CRAMP protein. The Lactobacillus constructed in the disclosure can be used to prepare a vaccine for regulation of intestinal flora disorder, and has advantages in regulation of intestinal flora and intestinal immune response and maintenance. An anaculture can be directly taken as an oral vaccine to stimulate mice and cause a strong cellular immune response. The recombinant L. lactis can be used as a new oral vaccine product with good industrial prospects, plays a positive role in reducing intestinal inflammation, and has important practical significance for promoting health development of the intestinal tract.

Abstract: In an approach to blockchain management of cloud service provisioning failures, one or more computer processors capture one or more application programming interface (API) calls associated with a service provision. One or more computer processors submit the captured one or more API calls to a blockchain ledger. One or more computer processors detect a system failure during the service provision. One or more computer processors extract the submitted one or more API calls from the blockchain ledger. Based on the extracted one or more API calls, one or more computer processors identify a problematic system associated with the system failure.

Abstract: A method for data configuration is provided. The method comprises parsing a first cascading configuration associated with a data source and selecting content of the first cascading configuration to migrate to a data target. The selected content of the first cascading configuration is then migrated to a second cascading configuration, and the second cascading configuration is applied to the data target.

Abstract: A computer-implemented method, computer system, and computer program product for blockchain enabled service reservation and delegation. The present invention may include receiving one or more first or second trigger conditions defined by a user, detecting an occurrence of the one or more first trigger conditions, deploying a smart contract based on the received one or more first trigger condition, detecting an occurrence of the one or more second trigger conditions, and deactivating the smart contract based on the received one or more second trigger conditions. The present invention may include receiving a subject registration, the subject is the user, a service, or a device. The one or more first trigger conditions may be a condition that upon its occurrence may initiate the deployment of the smart contract. The one or more second trigger conditions may be a condition that upon its occurrence may initiate the deactivation of the smart contract.

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: The disclosure discloses cathelicidin-expressing lactic acid bacteria, and belongs to the technical field of genetic engineering. The disclosure constructs Lactococcus. lactis and Lactobacillus. plantarum expressing a CRAMP protein by optimizing the nucleotide sequence of the CRAMP protein. The Lactobacillus constructed in the disclosure can be used to prepare a vaccine for regulation of intestinal flora disorder, and has advantages in regulation of intestinal flora and intestinal immune response and maintenance. An anaculture can be directly taken as an oral vaccine to stimulate mice and cause a strong cellular immune response. The recombinant L. lactis can be used as a new oral vaccine product with good industrial prospects, plays a positive role in reducing intestinal inflammation, and has important practical significance for promoting health development of the intestinal tract.