Abstract: A secure data storage management “recovery system” operates in a cloud computing environment that is apart from a source system and source data being protected. A “recovery manager” in the cloud computing environment is responsible for restoring secondary copies that were generated by the source system. The recovery manager gains knowledge (metadata) about the secondary copies by restoring, for its own use, a management database of, and backed up by, the source system. The recovery manager initiates out-of-place restores of the secondary copies to “recovery clients” in the recovery cloud. The recovery system restores, to the recovery cloud, secondary copies from any cloud platform and/or from non-cloud data centers, including secondary copies stored locally, off-cloud by the source system. The recovery manager comprises new features that enforce its isolation from the source system and they act to protect the integrity of the secondary copies generated by the source system.

Abstract: Example embodiments relate to semiconductor processing methods and semiconductor components obtainable by applying the semiconductor processing methods. One example method includes providing a substrate formed of a first semiconductor material. The method also includes providing a mesa structure on the substrate and in direct contact with the substrate. The mesa structure is isolated on all lateral sides by dielectric material. Active layers of a semiconductor device are integrated in an upper portion of the mesa structure. Additionally, the method includes producing one or more openings through the dielectric material. Further, the method includes forming a cavity by removing a bottom portion of the mesa structure through the one or more openings or removing the dielectric material in a region directly adjacent to the bottom portion of the mesa structure. In addition, the method includes obtaining a thermally conductive volume by filling the cavity with a material of high thermal conductivity.

Abstract: A computer system includes a processor programmed to process a first web page to identify a hyperlink contained thereon. The hyperlink includes a link to a second web page. The processor performs natural language processing on the first web page to determine one or more context word tokens and on the second web page to determine a context of the second web page. The processor also applies a context relevant tag to the hyperlink to generate a tagged hyperlink. The processor maps at least one of the context word tokens to the context relevant tag applied to the hyperlink and generates a transaction score for the tagged hyperlink.

Abstract: A patient support apparatus and a method of notifying persons within a vicinity of the patient support apparatus are disclosed. The patient support apparatus includes a patient support structure for supporting a patient, an actuator for moving the patient, a notification system, and a controller coupled to the notification system and the actuator. The controller receives a selection of a remote control function via a communication network, generates a notification in response to receiving the selection of the remote control function, and transmits an output signal to the actuator based on the selection of the remote control function. The notification system executes the notification prior to the controller transmitting the output signal to the actuator.

Abstract: A system and method for enabling dynamic expiration dates in a payment card. An algorithm executes on a computing device to create a private blockchain that is controlled by an inquiry block exchange. A payment card holder (PCH) metablock is generated when a first payment card issuer creates a PCH profile. This PCH profile is maintained within a security zone on the network. The security zone comprises multiple modules. These modules include a dynamic smart contract (DSC) execution engine module for generating a DSC hash value that identifies the DSC for the PCH profile metablock. A hyper-ledger fabric module enables dynamic parameters to be stored as an asset in the DSCs. A metablock generator module creates a PCH profile metablock and hashes the data in a subscribed hashing algorithm. The hashed data includes private keys and cryptographic keys in a secured element section of the PCH profile metablock.

Abstract: Systems and methods described provide a multiple-input multiple-output (MIMO) optimization service. A network device in a RAN predicts high usage thresholds and available per-service resources for supporting MIMO transmissions. The network device identifies, based on the predicted usage thresholds, user equipment (UE) devices that have a high-throughput session and have high usage levels on a cell. The network device assigns, based on the predicted available per-service resources, sounding reference signal (SRS)-based MIMO resources to the UE devices in the cell and assigns codebook-based MIMO resources to other UE devices in the cell.

Abstract: The present invention relates to a process for the preparation of finerenone, a compound of formula I, and intermediates thereof. In particular, the present invention relates to a novel diastereomeric salt of an intermediate of finerenone, a compound of Formula IVa, a process for the preparation thereof, and use thereof in the preparation of finerenone.

Abstract: In conventional networked computing systems, stream-processing software is utilized to handle real-time data feeds. For example, a stream-processing software may sort incoming data feeds into data logs, which are then consumed by various application servers within the computing system. However, this consumption process is susceptible to failure as application servers often fail to consume a full payload of data comprising a particular message. As such, a need exists for a streaming architecture with improved fault tolerance. The system provided herein solves the problem via a reliable streaming process, which regularly generates partitions within a series of data lakes. As streaming data is received, the payloads are synced into the different data lakes based on metadata associated with the streaming data. The system can then perform individual quality checks on each partition of data, enabling the system to continuously monitor data quality over time.

Abstract: Implementations disclosed describe, among other things, a systems and techniques for perform efficient inspection of a semiconductor manufacturing sample. The techniques include collecting optical inspection data for training sample(s) that have a plurality of defects. The techniques further include generating, using the optical inspection data, a training data set that includes descriptions, images, and ground truth classifications for the defects. The techniques further include using the training data set to train a plurality of machine learning (ML) classifiers to generate predicted classifications for the defects in the training sample(s). The techniques further include selecting, using the predicted classifications and the ground truth classifications, one or more ML classifiers that meet one or more accuracy criteria, and using the selected ML classifier(s) to classify defects in the semiconductor manufacturing sample.

Abstract: A system includes one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to perform operations including receiving building information model (BIM) data associated with a building comprising one or more building assets, identifying one or more BIM objects within the BIM, identifying one or more object relationships between the one or more BIM object, applying a semantic description to each of the one or more BIM objects and the one or more object relationships, and generating a hierarchy structure for the building based on the one of more BIM objects and the one or more object relationships. The one or more BIM objects are associated with the one or more building assets and the hierarchy structure includes the semantic description of each of the one or more BIM objects and the one or more object relationships.

Abstract: Bandwidth of High Bandwidth Memory (HBM) and scratch pad memory used by an Fully Homomorphic Encryption (FHE) accelerator in a System-on-Chip (SoC) during FHE relinearization is reduced by including a key generator module in the SoC. The key generator module to generate FHE public keys from a seed that is input to the SoC. The seed used by the on-die key generator module to generate FHE relinearization public keys locally within the scratch pad memory units in the SoC.

Abstract: In conventional networked computing systems, stream-processing software is utilized to handle real-time data feeds. For example, a stream-processing software may sort incoming data feeds into data logs, which are then consumed by various application servers within the computing system. However, this consumption process is susceptible to failure as application servers often fail to consume a full payload of data comprising a particular message. As such, a need exists for a streaming architecture with improved fault tolerance. The system provided herein solves the problem via a reliable streaming process, which regularly generates partitions within a series of data lakes. As streaming data is received, the payloads are synced into the different data lakes based on metadata associated with the streaming data. The system can then perform individual quality checks on each partition of data, enabling the system to continuously monitor data quality over time.

Abstract: In conventional networked computing systems, stream-processing software is utilized to handle real-time data feeds. For example, a stream-processing software may sort incoming data feeds into data logs, which are then consumed by various application servers within the computing system. However, this consumption process is susceptible to failure as application servers often fail to consume a full payload of data comprising a particular message. As such, a need exists for a streaming architecture with improved fault tolerance. The system provided herein solves the problem via a reliable streaming process, which regularly generates partitions within a series of data lakes. As streaming data is received, the payloads are synced into the different data lakes based on metadata associated with the streaming data. The system can then perform individual quality checks on each partition of data, enabling the system to continuously monitor data quality over time.

Abstract: Various embodiments include methods and devices for a secure execution environment in computing devices. Embodiments may include generating a binary executable file for execution in the secure execution environment by generating hashes of instructions of a function, inserting a start hash instruction and a stop hash instruction in object code of the function, and generating a binary executable having the function including the start hash instruction and the stop hash instruction. Embodiments may include implementing the secure execution environment by generating hashes of instructions of a function in parallel with executing the function, comparing the generated hashes of the instructions of the function to stored hashes of instructions of the function, and issuing an exception indicating to a processor that execution of the function is not secure for any difference between the generated hashes of the instructions of the function and the stored hashes of the instructions of the function.

Abstract: A method of protecting an endpoint against a security threat detected at the endpoint, wherein the endpoint includes, in memory pages of the endpoint, an operating system (OS), a separate software entity, and remediation code, includes the steps of: transferring control of virtual CPUs (vCPUs) of the endpoint from the OS to the separate software entity; and while the separate software entity controls the vCPUs, storing, in an interrupt dispatch table, an instruction address corresponding to an interrupt, wherein the remediation code is stored at the instruction address, and replacing a next instruction to be executed by the OS, with an interrupt instruction, wherein the interrupt is raised when the OS executes the interrupt instruction, and the remediation code is executed as a result of handling of the interrupt that is raised.

Abstract: Techniques for commissioning of monitoring resources are disclosed. A transportable unit identifier (TUI) for each of a plurality of transportable units is determined. Each of the transportable units has a set of discrete transportable units associated therewith. A discrete unit identifier (DUI) linked with the set of discrete transportable units of each of the transportable units is then retrieved. A set of condition parameters, required to be monitored for the set of discrete transportable units, is determined for each DUI. One or more transportable units having the set of discrete transportable units requiring monitoring of analogous set of condition parameters are identified. Further, a cluster recommendation signal is generated to trigger rendering of a recommendation to cluster the one or more transportable units. A resource commissioning signal is also generated to trigger rendering of a recommendation to commission at least one monitoring resource for the one or more transportable units.

Abstract: Techniques for improving system performance based on data characteristics are disclosed. A system may receive updates to a first data set at a first frequency. The system selects a first storage configuration, from a plurality of storage configurations, for storing the first data set based on the first frequency, and stores the first data set in accordance with the first storage configuration. The system may further receive updates to a second data set at a second frequency. The system selects a second storage configuration, from the plurality of storage configurations, for storing the second data set based on the second frequency, and stores the second data set in accordance with the second storage configuration. The second storage configuration is different than the first storage configuration.

Abstract: A system for identifying genuine user-merchant association. The system includes one or more processors and/or transceivers individually or collectively programmed to check the validity or expiration of a certificate from a device from which a request originates to create a certificate score, analyze previous communication from the device from which the request originates across a plurality of entities and regions to create a previous communication score, and conduct a messaging protocol check to create a protocol score. The one or more processors and/or transceivers are also programmed to output a weighted final score comprising a determination of whether to accept or deny the request based at least in part on one or more of the certificate scores, the previous communication score, or the protocol score. The one or more processors and/or transceivers are also programmed to save the weighted final score.

Abstract: The present disclosure relates to a thermal solution using a heat exchanger mounted inside an outdoor telecom unit. More specifically, a hardened optical platform includes a base chassis and a lid configured to seal an interior of the base chassis, wherein each of the base chassis and the lid include a plurality of fins. The hardened optical platform also including a vapor chamber in the interior including a heat exchanger. The heat exchanger including a second plurality of fins that are intertwined with a third plurality of fins on the base chassis in the interior.