Abstract: An approach for reducing disturbed errors in a flash memory device is disclosed. The approach includes collecting information associated with one or more; determining one or more frequently accessed data blocks from the one or more blocks based on the collected information; determining one or more neighboring blocks from the one or more blocks based on the collected information; determining if the one or more neighboring blocks exceeds a disturbance threshold; and in responsive to the one or more neighboring blocks has exceeded the disturbance threshold, re-align the one or more blocks.

Abstract: In an approach to improve the field of multi-cloud environments by detecting data corruption between storage systems. Embodiments perform information tunneling on data transferring between a source storage system and a target storage system. Further, embodiments determine a checksum data of a data payload does not match an Internet Protocol (IP) packet extracted checksum and a blockchain based checksum and compare the checksum data at the target storage system with the IP packet extracted checksum and the blockchain based checksum to identify one or more checksum mismatches. Additionally, embodiments identify a corruption in a data payload based on the comparison between the checksum data at the target storage system and the IP packet extracted checksum and the blockchain based checksum, validate the corruption in the data payload, and update respective entities of identified corruption in the data payload.

Abstract: Aspects of the present invention disclose a method for dynamically adjusting a clock speed of a core of a multicore processor of user equipment. The method includes one or more processors generating a dedicated logical channel from a user device to a multidomain service orchestration layer of a fifth generation (5G) telecom network. The method further includes collecting information of the user device through the dedicated logical channel. The method further includes identifying situational insight of the user device based at least in part on the information of the user device. The method further includes identifying determining a workload forecast of one or more cores of the user device based at least in part on the situational insight. The method further includes identifying determining a recommended central processing unit (CPU) clock speed for a CPU core of the user device based at least in part on the workload forecast.

Abstract: A process for the production of ultralow aromatic specialty distillate from different refinery streams particularly high sulfur streams. The process produces de-aromatized distillates with benzene content below 1 ppmw. Hydrocarbon feedstock having boiling temperature in the range of 90 and 350° C., preferably 140 and 320° C. The hydrocarbon feedstocks are obtained from any petroleum-refinery or bio-refinery or any other source producing hydrocarbon streams.

Abstract: The present disclosure relates to several techniques for reducing the occurrence of data collisions, which can occur when multiple devices simultaneously transmit data in the same (frequency) channel. For example, a turnaround time in which a device switches from a receive mode of operation to a transmit mode of operation may be reduced based on the device and another device indicating that they are capable of operating with a reduced turnaround. As another example, devices may use learning-based turnaround estimation to determine a turnaround time supported by other devices and utilize the determined turnaround time, for instance, instead of a longer turnaround time. As yet another example, multiple clear channel assessments may be performed before transmitting data. For instance, a first clear channel assessment may be performed during a backoff period, and a second clear channel assessment may be performed afterwards before data is transmitted.

Abstract: A computer-implemented method includes: receiving, by a computing device, a query from a user device; generating, by the computing device and using a machine learning model, an answer to the query; determining, by the computing device, an urgency level of the query; generating, by the computing device, an explanation of the answer based on the determined urgency level; and presenting, by the computing device, the answer and the explanation to a user via the user device.

Abstract: In an approach for in-band selective data snapshot using fifth generation (5G) radio link control (RLC) channels for edged cloud application backups, a processor creates one or more RLC channels to transfer network data packets in a telecommunication network using a network slicing technology. A processor allocates the one or more RLC channels to one or more applications in a user device for dedicated packet routing requirements. A processor maps the corresponding RLC channels and applications with corresponding identifiers, respectively. A processor monitors the one or more applications for backups. A processor, in response to receiving an application's backup request, creates a copy of a datastore associated with the application based on changes monitored in the one or more applications.

Abstract: The present disclosure relates to an ingestible device for sampling of the gastrointestinal tract. In particular, the device comprises an oral delivery capsule comprising a container having on the inside a hydrogel pre-polymer. The hydrogel prepolymer is capable of polymerising in situ, such as within the gastrointestinal tract, thereby collecting a sample of the gastrointestinal lumen by absorbing the lumen and its contents into the formed hydrogel.

Abstract: A method for replicating interfaces in augmented reality for missing devices is provided. A processor identifies an expected position pattern of one or more wearable devices in conjunction with an augmented reality device based on an expected usage pattern of a user. A processor compares a current position pattern of the one or more wearables user to the expected position pattern. In response to the current position pattern not matching the expected position pattern, a processor retrieves an overlay corresponding to a use case indicated by the expected usage pattern. A processor renders the overlay in the augmented reality device, where the overlay is rendered in the expected position pattern for the one or more wearable devices relative to a view of the augmented reality device.

Abstract: Methods, systems, and computer program products for generating multi-dimensional host specific storage tiering are provided herein. A computer-implemented method includes maintaining information of a plurality of storage resources connected to at least one host device; configuring, based at least in part on the information, a plurality of partitions of the storage resources, each partition comprising multiple storage tiers, wherein the plurality of partitions is configured to provide physical migration paths between the multiple storage tiers within each of the partitions; detecting a change to the plurality of storage resources; and reconfiguring the plurality of partitions based at least in part on the detected change.

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.

Abstract: A method for replicating interfaces in augmented reality for missing devices is provided. A processor identifies an expected position pattern of one or more wearable devices in conjunction with an augmented reality device based on an expected usage pattern of a user. A processor compares a current position pattern of the one or more wearables user to the expected position pattern. In response to the current position pattern not matching the expected position pattern, a processor retrieves an overlay corresponding to a use case indicated by the expected usage pattern. A processor renders the overlay in the augmented reality device, where the overlay is rendered in the expected position pattern for the one or more wearable devices relative to a view of the augmented reality device.

Abstract: Emergency monitoring application mobility management is provided. A portion of battery power on a mobile device is reserved for an emergency monitoring application between defined boundaries of a certain area based on analysis of a profile identifying battery consumption of each respective application running on the mobile device. A dedicated logical communication channel is established with the mobile device that the emergency monitoring application connects to in a detected emergency situation between the defined boundaries of the certain area. The dedicated logical communication channel is utilized to shut down a number of applications running on the mobile device during the detected emergency situation so that the reserved portion of battery power is retained to run the emergency monitoring application on the mobile device between the defined boundaries of the certain area during the detected emergency situation.

Abstract: An embodiment generates a candidate retraining dataset in response to a retraining request. The embodiment generates first metadata comprising attribute information for data points in the candidate retraining dataset and second metadata comprising a range of attributes from training data previously used to train the model. The embodiment determines whether the candidate retraining dataset includes new information for the machine learning model based on a comparison of the first metadata to the second metadata. In a first case in which the candidate retraining dataset is determined to include new information, the embodiment initiates retraining of the machine learning model using the candidate retraining dataset. In a second case in which the candidate retraining dataset is determined to not include new information, the embodiment generates a response to the retraining request indicating that retraining the machine learning model using the candidate retraining dataset is not recommended.

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: Provided is a system and method which prioritizes data replication packets between a private cloud and a public cloud which provides a backup for the private cloud. In one example, the method may include receiving a request from a software application to write data to a storage location of a private cloud that hosts the software application, identifying storage attributes of the storage location of the private cloud, generating a replication request for replicating the data over a network to a public cloud, embedding a priority tag into the replication request based on the identified storage attributes of the storage location of the private cloud, and transmitting the tagged replication request over the network from the private cloud to the public cloud based on a bandwidth assigned to the embedded priority tag.

Abstract: A device receives a notification indicating a failure of a first server device responsible for a primary message queue that includes messages at a time of the failure. A second server device is responsible for a standby message queue to which the messages are replicated, where a position in the standby message queue and a message time are assigned to each of the replicated messages. The device obtains a record time that identifies the message time of one of the messages that was last obtained from the primary message queue prior to the failure, compares an adjusted record time and the message time of one or more of the messages of the standby message queue to determine a starting position in the standby message queue, and processes messages obtained from the standby message queue beginning at one of the messages assigned to the position that matches the starting position.

Abstract: A system, method, and computer program product for implementing dynamic telecom network agent filtering is provided. The method includes retrieving peripheral data associated with user equipment (UE) enabled with respect to a telecom network associated with a telecom network hardware device. The peripheral data is mapped with a pre-defined filter selection model and a filtering agent model is selected. Likewise, filtering agents associated with the UE are selected and environmental characteristics associated with the telecom network are retrieved. A location of the UE is tagged and the filtering agents are pushed to the UE. Network commands associated with execution of the filtering agents are generated and the filtering agents are executed with respect to the UE. In response, noise and distortion occurring during operation of the UE with respect to the telecom network is reduced.

Abstract: A first version of a model specified by a model execution request is executed, producing a first execution result. A second version of the model is selected according to an input data attribute specified by the model execution request. The second version of the model is executed, producing a first execution result. Using a natural language processing engine, responsive to the first execution result and the second execution result differing by more than a threshold amount, a natural language explanation of a difference between the first execution result and the second execution result is constructed.

Abstract: In examples, a semiconductor package comprises a first driver die adapted to be coupled to a high-side switch of a power supply, the first driver die adapted to drive a gate of the high-side switch. The package also includes a second driver die adapted to be coupled to a low-side switch of the power supply, the second driver die adapted to drive a gate of the low-side switch. The package also includes a controller die positioned between the first and second driver dies and configured to control the first and second driver dies. The package also includes a pair of bond wires configured to provide a differential signal between the controller die and the first driver die, a vertical plane of a bond wire in the pair of bond wires and a vertical plane of a side surface of the first driver die having an angle therebetween ranging from 80 to 95 degrees.