Abstract: A system includes processing circuitry; and a memory connected to the processing circuitry, wherein the memory is configured to store executable instructions that, when executed by the processing circuitry, facilitate performance of operations, including receive a virtualized radio access network (vRAN) policy that includes an event to filter for and response to the event; obtain event messages from a data source, wherein each event message is generated by one or more state changes within a vRAN; filter each event message based on the vRAN policy; enrich filtered event message with information from an inventory; and trigger an action corresponding to the response in the vRAN policy.

Abstract: Systems and associated methods are described for determining popularity of new content. The system analyzes a content item to identify at least a first and a second attribute associated with the content item. The system also identifies previously posted content items associated with the first and the second attributes. The system then determines levels of user activity associated with the previously posted content item corresponding to the first attribute over a first past time period and associated with the previously posted content item corresponding to the second attribute over a second past time period. The system then extrapolates a levels of user activity for a future time period based on the first past time period and on the second past time period. The system further determines an anticipated level of user activity associated with the content item for the future time period based on the extrapolated levels of user activity.

Abstract: Aspects of the disclosure relate to authentication. A computing platform may send, to a wearable device, an internet of things (IOT) vector key. The computing platform may receive an application access request from the wearable device, which may include authentication credentials. The computing platform may send, to the wearable device, a reference key comprising a sequence of row-column combinations corresponding to the IoT vector key, and the wearable device may be configured to identify a hash salt value using the reference key and the IoT. The computing platform may receive, from the wearable device, the hash salt value. The computing platform may generate, based on the hash salt value and the authentication credentials, a password. The computing platform may hash the password to produce a password hash, and may send the password hash to an application server for validation.

Abstract: A system may include a processor-based device storing or accessing a packaging application, wherein the packaging application, when executed by the processor-based device, causes acts such as determining a number of exams is greater than a threshold number based on a schedule and assigning a score to each exam of a plurality of exams based on the schedule and on routing rules to be performed. The packaging application, when executed by the processor-based device, may also create a worklist comprising the plurality of exams, package an exam of the plurality of exams with additional data based on user input, and transmit the package to a third-party reader. The plurality of exams may be ordered in the worklist from a highest score to a lowest score.

Abstract: A method of wireless communication by a user equipment (UE) includes determining an original amount of uplink data stored in a non-compression buffer, the original amount of data designated to be transmitted to a network. The method also includes predicting, with a machine learning model, an amount of compression gain for the original amount of uplink data. The compression gain is obtained by compressing the original amount of uplink data during a time delay. The method further includes generating a buffer status report based on the original amount of uplink data and the predicted amount of compression gain. The method transmits the buffer status report to the network.

Abstract: An example method of content pack management by a service monitoring system includes: receiving a plurality of object identifiers, each object identifier referencing a corresponding object installed in an instance of a service monitoring system; performing a partial backup of the instance of a service monitoring system, wherein the partial backup comprises a plurality of objects referenced by the plurality of object identifiers; converting the partial backup into a plurality of object definitions in a predefined format; and packaging the plurality of object definitions into a content pack.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises converting the retrieved data to a uniform syntax for data assessment; performing a query on a plurality of external data sources for additional information associated with the converted data; analyzing a plurality of indicative markers associated with the retrieved data and the additional information; generating a plurality of machine learning models associated with the converted data based on the analysis of each indicative markers within the plurality of indicative markers; dynamically selecting at least one generated machine learning model within the plurality of generated machine learning models associated with the retrieved data based on an analysis of the plurality of indicative markers associated with the retrieved data and the additional information; and automatically verifying an accuracy value associated with the at least one selected generated machine learning model.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a terminal in a wireless communication system is provided. Information on a stand-alone non-public network (SNPN) may be stored in at least one list of one or more forbidden SNPNs, while operating in an SNPN access operation mode. The SNPN access operation mode may be deactivated. The at least one list of one or more forbidden SNPNs may be maintained.

Abstract: Disclosed herein are methods, systems, and programming for evaluating a medical workflow. For example, one or more images depicting a medical environment and a medical workflow performed in the medical environment may be received. Contextual information associated with the medical workflow may be determined, and a stage of the medical workflow may be identified, based on the one or more images. A subsequent stage of the medical workflow may be determined based on the identified stage, and first medical content associated with the contextual information and second medical content associated with the subsequent stage may be presented to one or more medical staff located within the medical environment.

Abstract: Provided herein are systems and methods for extracting text from a document. Different optical character recognition (OCR) tools are used to extract different versions of the text in the document. Metrics evaluating the quality of the extracted text are compared to identify and select higher quality extracted text. A selected portion of text is compared to a threshold to ensure minimal quality. The selected portion of text is then saved. Error correction can be applied to the selected portion of text based on errors specific to the OCR tools or the document contents.

Abstract: Arbitration and interleaving are performed with respect to memory requests in a memory controller that includes a set of interfaces, each configured to be coupled to a respective one of multiple external requestors, in which each interface receives memory requests from its associated external requestor. The memory controller further includes multiple sets of memory channel queues, one set for each interface, and multiple requestor arbitration modules, each associated with and coupled to a respective one of the multiple sets of memory channels. The memory controller further includes an interconnect coupled to the multiple requestor arbitration modules. The interconnect includes multiple external memory arbitration modules. Each of the requestor arbitration modules applies an arbitration algorithm to arbitrate among the memory requests in the associated set of memory channel queues.

Abstract: Apparatuses, systems, and techniques to map coordinates in task space to a set of joint angles of an articulated robot. In at least one embodiment, a neural network is trained to map task-space coordinates to joint space coordinates of a robot by simulating a plurality of robots at various joint angles, and determining the position of their respective manipulators in task space.

Abstract: Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.

Abstract: A method, computer system, and computer program product are provided for integrating access to multiple cloud storage sources from different applications. A storage account is joined to a local domain. The storage account is registered with a directory service in the local domain. A first service accesses the storage account by using a domain credential for accessing the local domain. A second service accesses the storage account by using a directory service credential to the directory service. The first service and the second service may concurrently access the storage account.

Abstract: In one embodiment, a method includes identifying a problematic event between a first interest point and a second interest point of a network and activating, in response to identifying the problematic event between the first interest point and the second interest point, a first endpoint associated with the first interest point and a second endpoint associated with the second interest point. The method also includes receiving, from the first endpoint and the second endpoint, telemetry data associated with a problematic path between the first interest point and the second interest point. The method further includes determining the problematic path between the first interest point and the second interest point using the telemetry data received from the first endpoint and the second endpoint.

Abstract: Components on an IC chip may operate faster or provide higher performance relative to power consumption if allowed access to sufficient memory resources. If every component is provided its own memory, however, the chip becomes expensive. In described implementations, memory is shared between two or more components. For example, a processing component can include computational circuitry and a memory coupled thereto. A multi-component cache controller is coupled to the memory. Logic circuitry is coupled to the cache controller and the memory. The logic circuitry selectively separates the memory into multiple memory partitions. A first memory partition can be allocated to the computational circuitry and provide storage to the computational circuitry. A second memory partition can be allocated to the cache controller and provide storage to multiple components.

Abstract: Methods of treating subjects having a prion disease or at risk of developing a prion disease by administering a nucleic acid molecule encoding a modified Prion protein (PrP), and methods of identifying a subject that is a candidate for treatment or prevention of a prion disease are presented herein.

Abstract: Disclosed herein are system, method, and computer program product embodiments for rapid identification and access to relevant regulatory documents. A data model relating regulatory mandates and requirements to citations appearing within an enforcement document is used to rapidly access specific citations within an enforcement document. In the case of image-based enforcement documents, the originality of these documents is preserved while allowing a user to see where the relevant citations appear in the document images. The relevant citations are further compared to business policies to identify potential impacts of regulatory mandates and requirements.

Abstract: A blood pressure monitoring device includes a patch including two inertial measurement units placed adjacent to the skin of a user. The blood pressure monitoring device includes a control unit coupled to the patch and configured to receive sensor data from the inertial measurement units. The control unit includes an analysis model trained with multiple machine learning processes to generate blood pressure estimations based on the sensor data. A first general machine learning process trains the analysis model with a training set gathered from plurality of other individuals. The second general machine learning process retrains a portion of the analysis model with a second machine learning process utilizing individualized training set gathered from the user.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. The present disclosure is for handling operation in standalone non-public network (SNPN). Embodiments herein disclose methods for handling an operation in a standalone non-public network (SNPN) by a UE. The method includes determining that a dialed number is an emergency number. Further, the method includes determining a current SNPN does not support an emergency service for the dialed number. Further, the method includes performing a deregistration procedure upon determining that the current SNPN does not support the emergency service for the dialed number. Further, the method includes selecting at least one of a cell and a public land mobile network (PLMN) that provides the emergency service to the UE after performing the deregistration procedure.