Abstract: In some embodiments of the invention, inventive compounds (e.g., Formula (I), (IA), (II), and (III), and urolithin derivatives) are disclosed. Other embodiments include compositions (e.g., pharmaceutical compositions) comprising the inventive compound. Still other embodiments of the invention include compositions (e.g., pharmaceutical compositions) for treating, for example, certain diseases using the inventive compounds. Some embodiments include methods of using the inventive compound (e.g., in compositions or in pharmaceutical compositions) for administering and treating (e.g., diseases). Further embodiments include methods for making the inventive compounds. Additional embodiments of the invention are also discussed herein.

Abstract: A technique utilizes grafting and differential based (diff-based) data seeding to hydrate a special virtual disk (vdisk) on a multi-node cluster with data changes (differences) between a reference vdisk stored on the cluster and a snapshot stored in an external repository to enable failover (including failback) recovery of an application workload in a disaster recovery environment. The application workload is stored as a workload vdisk on local storage of the cluster and snapshots of the workload vdisk are generated and organized as a vdisk chain on the cluster. One or more snapshots of the vdisk chain may be replicated to the external repository using a long-term snapshot service. Each replicated snapshot may be backed up from the cluster to the external repository at the granularity of a vdisk, referred to herein as an external datasource disk. The special vdisk is a thinly provisioned, datasource-backed vdisk that is grafted onto the vdisk chain, e.g., as a child vdisk of the reference vdisk.

Abstract: Systems and methods described herein improve visibility of features (e.g., P-waves) of a physiologic signal segment (e.g., an EGM or ECG signal segment) to be displayed within a display band having a specified height between an upper and a lower boundary of the display band. The physiologic signal segment is divided into sub-segments, for each of which a sub-segment minimum peak amplitude and maximum peak amplitude are determined. Based thereon, a new minimum peak amplitude and a new maximum peak amplitude are determined and used to determine a new display range. A portion of the physiologic signal segment that is within the new display range is caused to be display, within the display band having the specified height, such that the upper boundary of the display band corresponds to the new maximum peak amplitude, and the lower boundary of the display band corresponds to the new minimum peak amplitude.

Abstract: Systems and methods described herein improve visibility of P-waves of an EGM or ECG signal segment to be displayed on a display screen. There is a determination of whether relatively small features, including the P-waves, of the ECG or EGM signal segment would be difficult to visualize if an original signal segment range of the ECG or EGM signal segment were caused to be displayed on the display screen. In response to determining that the relatively small features of the ECG or EGM signal segment would be difficult to visualize, a portion of the EGM or ECG signal segment is displayed on the display screen in a manner that magnifies the P-waves of the EGM or ECG signal segment compared to if an entirety of the EGM or ECG signal segment within the original signal segment range were instead caused to be displayed on the display screen.

Abstract: A system and method for managing sensor data associated with an Internet-of-Things (IoT) environment is disclosed herein. The method includes receiving, by a processing unit, sensor data from at least one sensing unit in the IoT environment. The sensor data includes at least one sensor reading and a reading timestamp associated with the sensor reading. The method further includes determining whether a conflict exists based on the reading timestamp, wherein the conflict is associated with the sensor data overwriting an existing record in a database. The database is configured for storing the sensor data associated with the at least one sensing unit in time-series format. If the conflict exists, the method further includes merging the sensor data to the record based on an ingestion timestamp associated with the sensor data. Otherwise, a new record is created.

Abstract: A first image can be acquired from a first sensor included in a vehicle and input to a deep neural network to determine a first bounding box for a first object. A second image can be acquired from the first sensor. Input latitudinal and longitudinal motion data from second sensors included in the vehicle corresponding to the time between inputting the first image and inputting the second image. A second bounding box can be determined by translating the first bounding box based on the latitudinal and longitudinal motion data. The second image can be cropped based on the second bounding box. The cropped second image can be input to the deep neural network to detect a second object. The first image, the first bounding box, the second image, and the second bounding box can be output.

Abstract: Methods, apparatus, and processor-readable storage media for determining health-related information of returned inventory using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining current state-related information pertaining to at least one returned inventory item; determining health-related information of the at least one returned inventory item by processing, using one or more artificial intelligence techniques, at least a portion of the current state-related information and historical inventory-related data associated with one or more additional inventory items; and performing one or more automated actions in connection with the at least one returned inventory item based at least in part on at least a portion of the determined health-related information.

Abstract: An approach for managing workload deployment in a distributed network, including edge computing is provided. The approach includes deploying several modules, such as, EMM (energy management module), LDM (localized deployment manager) and EDM (edge deployment manager). These modules will be constantly monitoring and managing the energy consumption at the edge nodes under their purview and communicate with other modules to develop a holistic energy management system (e.g., energy policies, energy algorithms, energy plans, etc.) to ensure the most effective energy management of workload is implemented.

Abstract: Techniques are generally described for onboarding optimization for new hires. In various examples, labor order data specifying a target number of new hires may be received. In some examples, a first machine learning model may predict a number of new hire appointments to offer based at least in part on the labor order data. In further examples, an optimization component may allocate the number of new hire appointments to respective time slots based at least in part on candidate preferences. In some additional examples, data may be sent to a first application effective to display a list of available new hire appointment time slots of the respective time slots.

Abstract: An armrest assembly comprising a secondary armrest assembly is disclosed that can be deployed from a stowed and nested position beneath a primary armrest, with the secondary armrest assembly comprising a plurality of articulable and pivotable components, a seating assembly comprising the present armrest assembly, and vehicles configured to comprise the present armrest and seating assembly.

Abstract: Specific binding molecules, including T cell receptors (TCRs), which bind the HLA-A*02 restricted peptide SLYNTVATL (SEQ ID NO: 1) derived from the HIV Gag gene product, p17 are presented. TCRs of the present invention comprise non-natural mutations within the alpha and/or beta variable domains relative to a native TCR. The specific binding molecules of the invention have improved stability and/or yield and yet unexpectedly retain the advantageous properties of the specific binding molecules from which they are derived. Such specific binding molecules are particularly useful in the development of soluble immunotherapeutic reagents for the treatment of HIV infected individuals.

Abstract: An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components.

Abstract: An AI platform to enable one or more users to design and create AI enabled applications is provided. The AI platform comprises a data module configured to condition data received from a plurality of data sources to generate a corresponding data pipeline; wherein the data module comprises a plurality of reusable data components. The AI platform further comprises an intelligent processing module configured to process a plurality of datasets received on the data pipeline and generate a corresponding artificial intelligence (AI) pipeline; wherein the intelligent processing module comprises a plurality of reusuable data processing components.

Abstract: A method for responding to a command sequence includes receiving a signal from a host carrying a plurality of commands in the command sequence, detecting a non-consecutive clock associated with a start of a current command in the command sequence, and generating a control signal in an active state to indicate detection of the non-consecutive clock.

Abstract: An apparatus includes a receiver circuit and a data buffer. The receiver circuit may comprise a decision feedback equalizer (DFE). The data buffer circuit may be configured to initialize a condition of the receiver circuit in response to a control signal prior to reception of a command sequence associated with a directed access to a memory system. The control signal generally indicates detection of a non-consecutive clock associated with a start of the command sequence. The data buffer circuit may generate one or more tap enable signals configured to determine a number of clock cycles during which a contribution of one or more taps of the decision feedback equalizer (DFE) are delayed.

Abstract: A method for responding to a command sequence includes receiving the command sequence associated with a targeted access to a memory system, detecting a non-consecutive clock associated with a start of the command sequence, and generating a control signal in an active state to indicate detection of the non-consecutive clock associated with the start of the command sequence.

Abstract: An example source device includes a transceiver, a memory, and processor(s) in communication with the memory and the transceiver. The memory stores an application framework and subtitle information associated with the application framework. The processor(s) are configured to execute the application framework stored to the memory, to receive the subtitle information from the application framework, to initiate, in response to the receipt of the subtitle information, via the transceiver, a negotiation of features between the wireless source device and a sink device, to obtain negotiated features based on the negotiation of features, to capture, in response to obtaining the negotiated features, subtitle text data in accordance with the set of negotiated features, and to transmit, via the transceiver, the captured subtitle text data to the sink device.

Abstract: Methods and systems for automatically generating a list of keywords for an end user from very large amounts of text data. In an embodiment, a computer-implemented method includes a processor receiving a request from an end user device to generate a key word list, reading text data of a corpus of at least one domain, performing pre-processing of the text data of the corpus, and removing stop words. The process also includes generating, by the processor, a term document matrix, removing rare words, and identifying unigrams, bigrams and trigrams. The processor then performs a stemming process on the unigrams, bigrams and trigrams to form stem words, replaces each stem word with its highest frequency unigram to generate normalized unigrams, generates normalized bigrams and normalized trigrams based on the normalized unigrams, and generates a list of keywords comprising the normalized unigrams, the normalized bigrams, and the normalized trigrams.

Abstract: An apparatus includes a receiver circuit and a data buffer. The receiver circuit may comprise a decision feedback equalizer (DFE). The data buffer circuit may be configured to initialize a condition of the receiver circuit in response to a control signal prior to reception of a command sequence associated with a directed access to a memory system. The control signal generally indicates detection of a non-consecutive clock associated with a start of the command sequence. The data buffer circuit may generate one or more tap enable signals configured to determine a number of clock cycles during which a contribution of one or more taps of the decision feedback equalizer (DFE) are delayed.

Abstract: An apparatus includes a detector circuit and a data buffer. The detector circuit may be configured to (i) identify a start of a command sequence associated with a directed access to a memory system and (ii) generate a control signal indicating a non-consecutive clock associated with the start of said command sequence. The data buffer circuit may be configured to initialize a condition of a receiver circuit in response to the control signal prior to reception of a first data bit associated with the command sequence.