Abstract: A client application can be configured to render user interface cards, based on card data provided by a remote card engine. An API Response as Card (ARC) engine can intercept a communication between the client application and the card engine, and determine that the communication is associated with another backend system. The ARC engine can request that the backend system perform an account action associated with a user account. The ARC engine can provide information derived from a response from the backend system, reflecting a result of the account action, to the card engine. The card action can generate card data associated with the result of the account action performed by the backend system, and the client application can use the card data to render and display a corresponding card, even if neither the client application nor the card engine are natively configured to interface with the backend system.

Abstract: A network device may receive, from a transmitting network device, a packet, wherein the packet includes a first outer internet protocol (IP) header, a Generic Routing Encapsulation (GRE) header, a second outer IP header, an Encapsulating Security Payload (ESP) header, and an inner packet, wherein the inner packet is encapsulated by the ESP header, the ESP header is encapsulated by the second outer IP header, the second outer IP header is encapsulated by the GRE header, and the GRE header is encapsulated by the first outer IP header. The network device may decapsulate the packet to remove the first outer IP header and the GRE header from the packet. The network device may decrypt, after decapsulating the packet, the packet to identify the inner packet. The network device may cause one or more actions associated with the inner packet to be performed.

Abstract: A server operated by a service provider may enable a user to upgrade and/or purchase one or more service plans associated with a user account and provided by the service provider. The service plan may include access to one or more third-party services that provide content accessible via applications. The service provider may inform a notification service that operates a device management platform that the user account is permitted access to the content provider. The notification service may send a message to the user device including an indication that the user device now has access to the content provider and/or a selectable option to install an application associated with the content provider.

Abstract: Disclosed is a system, computer program product and computer-implemented method for smog analysis which provides sending a data collection signal to one or more vehicles including one or more sensors via a base station, receiving data from the one or more vehicles, including sensor data, analyzing the received data for determining a smog status, and sending traffic information to a plurality of vehicles. The traffic information may include the determined smog status and the plurality of vehicles may include the one or more vehicles.

Abstract: A method, system, and computer program product for monitoring a telecom network is provided. The method includes retrieving images associated with a transmission location of a telecom network. A communication channel is initialized for enabling transmission of a real time video stream comprising the images with respect to virtual network functions. The virtual network functions are enabled and a triggering signal of the virtual network functions is located. Image collector software and hardware components are activated for collecting the images for local cache storage and location and activation information is collected. Attributes of objects within the images are collected and detecting resulting obstruction characteristics associated with obstruction objects located within a coverage area of the telecom network are detected.

Abstract: The present invention relates to a method of using Mebeverine as an sEH inhibitor. The present invention also provides a method of treating metabolic and cardiovascular disorders using Mebeverine.

Abstract: Systems, methods and apparatus are provided for an end to end control automation workflow using a distributed network. The data segregation layer may assimilate data from a variety of enterprise sources. A trust engine may validate the data from enterprise sources against enterprise security standards. The system may use a distributed network to validate the data from the various sources and populate a distributed hash table. The distributed network may be a Holochain® framework. The system may include an automation layer that uses robotic processing automation scripts to validate data against a system of record and flag exceptions. The automation layer may provide data to a user interface layer. The user interface may include an interactive dashboard for presenting a range of detailed reports.

Abstract: In an approach to storage level load balancing, the load level of a storage system is monitored, where the load level is a utilization percentage of a plurality of CPU cores in the storage system. An overload condition is detected based on the utilization percentage of one or more CPU cores exceeding a threshold, where the overload condition is caused by an overlap of one or more I/O queues from multiple host computers accessing a single CPU core. Responsive to detecting the overload condition, a new I/O queue is selected on a second CPU core, where the second CPU core has a utilization percentage less than a second threshold. A recommendation is sent to a host computer, where the recommendation is to move I/O traffic from the first CPU core to the new I/O queue on the second CPU core to rebalance the load level of the storage system.

Abstract: In certain embodiments, a 5G RAN network has a distributed unit (DU) connected to at least one remote unit (RU) via a transport network (TN) that handles both mobile front-haul (MFH) traffic between the DU and the RUs as well as non-MFH traffic with other end users. A radio scheduler in the DU is configured to perform medium access control (MAC) scheduling for the mobile user traffic, while a TN scheduler in the transport network is configured perform TN scheduling for both the MFH and non-MFH traffic. The TN scheduler is configured to transmit information (e.g., MFH data-rate limits) to the radio scheduler that the radio scheduler uses to perform its subsequent MAC scheduling.

Abstract: A network architecture may receive situational data. The network architecture may acquire participant data associated with a participant. The network architecture may accept object data associated with an object. The network architecture may generate likelihood of infectiousness of the object based on the participant data and the object data. The network architecture may display the likelihood of infectiousness to one or more users.

Abstract: Providing reproducible machine learning model results by receiving input data for a machine learning (ML) model, processing the input data using the ML model, yielding an initial result, adding a first block to a distributed ledger, the block comprising the input data, the initial result, an ML model data structure, and a link to training data for the ML model, wherein the training data resides in previous distributed ledger blocks, and providing an output including the initial result.

Abstract: Embodiments of determining a hydraulic fracture completion configuration for a wellbore that extends through a subterranean formation are provided herein. Embodiments of performing a hydraulic fracturing operation on a wellbore that extends through a subterranean formation are also provided herein.

Abstract: Methods, computer program products, and systems are presented. The method, computer program products, and systems can include for instance: obtaining sensor output data from a user, wherein the sensor output data from the user includes voice data of the user; generating, during an interactive voice response session, vocal response data for presentment by a virtual agent to the user in response to the voice data, wherein the generating includes performing data access queries on one or more storage system; and prioritizing certain asset data of the one or more storage system, wherein the prioritizing is performed in dependence on data of the sensor output data.

Abstract: A method, a computer system, and a computer program product for tiering migration for storage system optimization is provided. Embodiments of the present invention may include determining to move data based on access counters to balance a workload between storage drives and storage tiers. Embodiments of the present invention may include establishing a connection with an interconnect application program interface. Embodiments of the present invention may include collecting and converting physical access counters. Embodiments of the present invention may include collecting heat map data. Embodiments of the present invention may include calculating a tiering migration plan for an internal map change event.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention receive a request for a machine learning model and information associated with decisions made by the machine learning model. Embodiments of the present invention can determine one or more machine learning modules that satisfy the received request and create a dedicated traffic channel to send the determined one or more machine learning modules and information associated with the decisions made by the machine learning model. Embodiments of the present invention can transmit the determined one or more machine learning modules and information associated with decisions made by the machine learning model to a computing system using the created, dedicated traffic channel.

Abstract: A method, system, and computer program product for managing input/output (I/O) operations in log structured arrays (LSA) is provided. The method receives a write request for a storage volume. The write request including a set of data. The method determines the set of data for a target extent of the storage volume is not copied to a target location based on a target map for a flash copy volume. An LSA is instructed to perform an internal copy-on-write (COW) for the set of data during a next IO operation for the storage volume. Based on the internal COW instruction, the method moves an internal pointer of the target location from a virtual volume to the flash copy volume.

Abstract: Memory cell circuitry is disclosed. The memory cell circuitry includes a first transistor configured to have a threshold voltage of the first transistor modulated by hot carrier injection, a second transistor coupled to the first transistor and configured to have a threshold voltage of the second transistor modulated by hot carrier injection, a word line coupled to a gate of the first transistor and to a gate of the second transistor, a first bit line coupled to the first transistor and a second bit line coupled to the second transistor. In addition, the memory cell circuitry includes a source line coupled to the drain of the first transistor and to the drain of the second transistor, the word line and the source line configured to cause hot carrier injection (HCI) into the first transistor when a first supply voltage is applied to the word line and the source line, and the second bit line is floated and the first bit line is grounded.

Abstract: A system and method for exploring a chemical space during molecular design for at least one top hit molecule using a machine learning (ML) model are provided. The method includes (i) representing the at least one molecule stored in a drug library into at least one vector; (ii) clustering the at least one vector to obtain at least one cluster of molecules into one or more clusters; (iii) uniformly sampling a first subset of molecules from each cluster of molecules; (vi) determining a docking score for sampled subset of molecules; (iv) training the ML model by correlating sampled subset of molecules with docking score; (viii) computing acquisition function values for a second subset of molecules from each cluster; and (ix) determining at least one top hit molecule based on the computed acquisition function values, thereby exploring the chemical space for the at least one top hit molecule.

Abstract: Call propensity source data may be received that include a first percentage of call propensity source data that correspond to presence of post-visit phone calls to a customer service of an entity after some customer visits to a web site of an entity and a second percentage of call propensity source data that correspond to absence of post-visit phone calls to the customer service after other customer visits to the website. A machine-learning model is trained based on a plurality of features in at least a portion of the call propensity source data to generate a trained machine-learning model. The trained machine-learning model is applied to multiple features included in at least one of corresponding website activity data and corresponding activity error data of a customer to generate a probability score that measures a likelihood of the customer calling the customer service regarding an issue that is unresolved via the website.

Abstract: Systems and methods are provided for using automated mobile computing device testing to ensure that a given targeted message is actually appearing in an intended manner for various types of intended recipients. The intended content or format of a target message to be presented by each of a plurality of mobile computing devices may be based on characteristics of each device. The targeted message may be sent to each device, and an indication of the actual content and/or format of the targeted message as presented by each device may be received and compared to the intended content or format of the targeted message for each device. Errors associated with the targeted message may be detected based on any discrepancies between the intended content and/or format of the targeted message for each device and the actual content or format of the targeted message as presented by each device.