Abstract: A method of providing secure connections between a shared network node and a plurality of network nodes of different mobile network operators (MNOs) is provided. The method includes: receiving, by a first network node of a first MNO among the different MNOs, a digital certificate issued to the first network node from a public key infrastructure (PKI) service provider, the PKI service provider having a trust relationship with the different MNOs; establishing, by the first network node, a secure connection with a second network node of the first MNO using the issued digital certificate and based on the trust relationship; and establishing, by the first network node, a secure connection with a third network node of a second MNO, among the different MNOs, using the issued digital certificate and based on the trust relationship.

Abstract: A system for performing full-automated enrollment of certificates in a mobile communications network, includes: a network element configured to request a certificate; at least one server configured to authenticate the network element and provide certificate authority (CA) information to the network element; and a certificate manager configured to obtain a preconfigured policy for the requested certificate, obtain the certificate based on the preconfigured policy, and issue the certificate to the network element, wherein the network element is configured to: send, to the at least one server, a request for obtaining information on the certificate manager; obtain, from the at least one server, the information on the certificate manager; send, to the certificate manager based on the obtained information on the certificate manager, a certificate signing request (CSR) for requesting the certificate; and receive, from the certificate manager, the requested certificate generated by a CA server of the certificate mana

Abstract: A system and method provide for automated management of policies in an application platform. A plurality of policy groups are established, each according to a set of included policies and a set of assigned application groups, where each policy defines a requirement and an automated response, and each application group is defined according to a rule to determine whether an application is contained within. A configuration file for each policy group associates each assigned application group with each included policy. An automatic configuration, according to the configuration file for each of the policy groups, configures an admission controller of the application platform to selectively test an application contained within an application group and designated for deployment to the application platform, to determine whether it meets the requirement of each policy associated with the application group, and to selectively execute the automated response based on a failure to fulfill the requirement.

Abstract: A system, method and device for enhanced authentication of network elements are provided. The device may be configured to: obtain device information from a network element, transmit the obtained device information to a storage device in order to determine whether the network element supports authentication in accordance with a first authentication protocol, based on determining that the network element supports the authentication in accordance with the first authentication protocol, facilitate authentication of the network element with a first authentication server configured to perform the authentication in accordance with the first authentication protocol, and based on determining that the network element does not support the authentication in accordance with the first authentication protocol, facilitate the authentication of the network element with at least one server configured to perform authentication in accordance with a second authentication protocol.

Abstract: Techniques for implementing a vector database in a multi-tenant environment are described. A system creates an index of a tenant that scales efficiently in a multi-tenant environment. The index is created by clustering the plurality of vectors into a set of clusters. The created index forms a hierarchical index including plurality of layers and is stored in a primary data storage unit. The system includes an intermediate data storage unit to store new vectors and to avoid re-indexing every time a new vector with an associated operation such as insert, update, and delete, is added. Further, the system provides reliable nearest neighbor vectors from the created index of the tenant. Read operation is performed over the quick-retrieval data, primary data, and intermediate to determine the nearest neighbor vectors.

Abstract: Apparatus, systems, articles of manufacture, and methods for improving anti-malware scan responsiveness and effectiveness using user symptoms feedback are disclosed. An example method includes detecting a performance issue on a computing device, presenting a user interface on a display of the computing device requesting user feedback regarding the performance issue, and synthesizing user input related to the performance issue to identify, on the computing device, a scan parameter associated with the performance issue. The example method further includes, in response to failing to identify the scan parameter on the computing device, transmitting the user input to a symptom analysis server to identify the scan parameter based on anti-malware scans from other computing devices, and, in response to determining the scan parameter, performing a targeted anti-malware scan on the computing device.

Abstract: Targeted acquisition of data for model training includes identifying attributes of classified samples of a collection of samples classified by a classification model, and generating at least one query based on the identified attributes, the at least one query tailored, based on the attributes, to retrieve additional training data for training the classification model to more accurately classify samples and avoid incorrect sample classification.

Abstract: Provided herein, inter alia, are compositions and methods for treating and/or preventing conditions associated with gut inflammation caused by dysbiosis via use of exogenously administered acid phosphatases or enzymes of the GDA1_CD39 superfamily (such as apyrases).

Abstract: A method, performed by at least one processor of a trust broker, for establishing trust of vendor-supplied Open Radio Access Network (O-RAN) software, includes: receiving a plurality of O-RAN software from a plurality of O-RAN software vendors, the plurality of O-RAN software respectively signed by the plurality of O-RAN software vendors; for a software, among the plurality of O-RAN software, verifying a signature included with the software using a vendor certificate issued by a certificate authority (CA) of the corresponding vendor; based on successful verification of the signature, performing a software attestation with respect to the software using a digital certificate issued by a CA of the trust broker; and providing the attested software to an operator corresponding to the O-RAN system and with which the trust broker has a trust relationship.

Abstract: Targeted acquisition of data for model training includes automatically generating metadata describing samples, of an initial dataset, in neighborhoods of an embedding space in which the samples are embedded. The samples described by the automatically generated metadata are classified by a classification model, and include both correctly classified samples in the neighborhoods and incorrectly classified samples in the neighborhoods. Additionally, attributes of one or more correctly classified samples of the collection of samples and one or more incorrectly classified samples of the collection of samples are identified, and queries are generated based on the identified attributes, the queries tailored, based on the attributes, to retrieve additional training data for training the classification model to more accurately classify samples and avoid incorrect sample classification.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve anti-malware scan responsiveness, in response to a performance issue on a user computing device, determine a symptom associated with the performance issue based on a user input from the user computing device, the user input corresponding to highlighting an area of a display associated with the performance issue, a window having been rendered on the display by an operating system of the user computing device, identify a scan parameter for a targeted anti-malware scan based on positive results of malware scans from other user computing devices that experienced the symptom, and transmit the scan parameter to the user computing device to facilitate a targeted anti-malware scan of the user computing device based on the scan parameter.

Abstract: A system includes one or more source memory devices of a source computing environment that store a database comprising data files, wherein each of a plurality of data tables of the source computing environment includes data from one or more of the data files, one or more target memory devices of a target computing environment and at least one processor configured to receive a command to copy data files from the source memory devices to the target memory devices, detect that the target memory devices have insufficient memory, calculate a value coefficient for each data table, assign a priority index to each data table based on the value coefficient, order the data files in a copy queue based on the priority index of the data tables, and copy the ordered data files to the target memory devices.

Abstract: The method performs at the orchestration interface at which update information, including changes to tasks of a workflow, is received from a task manager system (TMS), where the workflow includes a set of tasks, inputs to the tasks, and outputs from the tasks. The inputs and outputs determine runtime dependencies between the tasks. Based on the update information received, the orchestration interface populates a topology of nodes and edges as a directed acyclic graph (DAG) that maps nodes to tasks and edges to runtime dependencies between tasks, based on node inputs and outputs. The orchestration interface instructs the execution of the tasks and handling dependencies by interacting with a task execution system (TES) and by traversing the DAG, the orchestration interface identifies tasks that depend on completed tasks as per the runtime dependencies and instructs the TES to execute the dependent tasks identified.

Abstract: A system includes one or more source memory devices of a source computing environment that store a database comprising data files grouped in a plurality of file groups, wherein each of a plurality of data tables of the source computing environment includes data from one or more of the data files grouped in to one or more of the file groups, one or more target memory devices of a target computing environment and at least one processor configured to receive a command to copy data files from the source memory devices to the target memory devices, detect that the target memory devices have insufficient memory, calculate a value coefficient for each data table, assign a priority index to each data table based on the value coefficient, re-arrange the file groups based on priority indices of the data tables, and copy the re-arranged file groups to the target memory devices.

Abstract: A system includes one or more source memory devices of a source computing environment that store a database comprising data files grouped in a plurality of file groups, wherein each of a plurality of data tables of the source computing environment includes data from one or more of the data files grouped in to one or more of the file groups, one or more target memory devices of a target computing environment and at least one processor configured to receive a command to copy data files from the source memory devices to the target memory devices, detect that the target memory devices have insufficient memory, calculate a value coefficient for each data table, assign a priority index to each data table based on the value coefficient, re-arrange the file groups based on priority indices of the data tables, and copy the re-arranged file groups to the target memory devices.

Abstract: A method, computer system, and a computer program product for data pipeline prioritization is provided. Embodiments may include receiving, by a cognitive rules engine, one or more data pipelines. Embodiments may then include analyzing, using a computational method of the cognitive rules engine, the one or more data pipelines. Embodiments may lastly include prioritizing the one or more data pipelines based on a result of the computational method of the cognitive rules engine.

Abstract: A computer-implemented method generates an automated data movement workflow. The method includes transforming a received request for data, which was received in a restricted natural language form, into a form suitable for accessing a metadata repository. The method further includes identifying data and data dependencies using the transformed request for data. The method further includes building a workflow using the identified data and data dependencies. The method further includes, upon applying at least one governance rule to the workflow, modifying the built workflow to be compliant with the at least one governance rule, and if no compliance with the at least one governance rule is achievable, recommending a change to the built workflow.

Abstract: Embodiments for identifying an optimal cloud computing environment for a computing task is disclosed. Embodiments comprises receiving a computing task to be executed in a cloud computing environment, wherein the computing task requires a set of cloud computing environment parameter values of the cloud computing environment, pre-selecting a set of candidate cloud computing environments, each of which meets the set of cloud computing environment parameter values, ranking the candidate cloud computing environments using reward-based ranking parameter values of the candidate cloud computing environments as an additional selection constraint, and selecting the highest ranking cloud computing environment as the optimal cloud computing environment for the computing task.

Abstract: One or more systems and/or methods for product similarity detection and recommendation are provided. Users may view articles and/or other content that includes images depicting products that may be of interest to the users. These images are processed using image processing functionality such as computer vision to identify the products depicted by the images. A vector embedding model is used to generate product vector representations of the products. Catalog items that are available from a catalog to supplement the articles and other content may be processed to generate catalog item vector representations. When content (an article) with an image depicting a product is to be displayed to the user, similarity between a product vector representation of the product and the catalog item vector representations is determined in order to identify and display catalog items depicting products that are similar to the product depicted by the image in the content.

Abstract: The present disclosure is concerned with purine diamine compounds for the treatment of conditions associated with BRD4, RIP3K, and/or IL6 signaling dysfunction such as, for example, cancer (e.g., lung cancer, skin cancer, bladder cancer, kidney cancer, liver cancer), arsenicosis, arsenic poisoning, inflammation, skin lesions, dysfunction of systemic organs, and skin blisters. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.