Abstract: Methods and systems include processors and hardware accelerators. The processor initiates a first process in a first hardware accelerator configured to aid the processor in performing the first process. The processor initiates the first process using one or more interface registers. The processor performs additional processing while the first hardware accelerator performs the first process after initiation of the first process. The processor also initiates a second process in a second hardware accelerator configured to aid the processor in performing a second process. Moreover, the processor initiates the second process using the one or more interface registers.

Abstract: The invention provides anti-TIGIT (T-cell immunoreceptor with Ig and ITIM domains) antibodies and methods of using the same.

Abstract: Methods and systems include receiving, at de-ringing circuitry of a display pipeline of an electronic device, scaled image content based on image data. The de-ringing circuitry also receives a fallback scaler output. The de-ringing circuitry determines whether the image data has a change frequency greater than a threshold. In response to the change frequency being above the threshold, the de-ringing circuitry determines a weight. Based at least in part on the weight, the de-ringing circuitry blends the scaled image content and the fallback scaler output based at least in part on the weight.

Abstract: A method and apparatus for quasi-sensorless adaptive control of a high rotor pole switched-reluctance motor (HRSRM). The method comprises the steps of: applying a voltage pulse to an inactive phase winding and measuring current response in each inactive winding. Motor index pulses are used for speed calculation and to establish a time base. Slope of the current is continuously monitored which allows the shaft speed to be updated multiple times and to track any change in speed and fix the dwell angle based on the shaft speed. The apparatus for quasi-sensorless control of a high rotor pole switched-reluctance motor (HRSRM) comprises a switched-reluctance motor having a stator and a rotor, a three-phase inverter controlled by a processor connected to the switched-reluctance motor, a load and a converter.

Abstract: Various methods and systems are provided for x-ray imaging. In one embodiment, a method for an x-ray imaging system comprises acquiring, with an x-ray detector, an image including a noise artifact caused by electromagnetic interference, inputting the image to a trained neural network model to obtain a corrected image with the noise artifact removed, and outputting the corrected image. In this way, row-correlated noise artifacts caused by electromagnetic interference at the x-ray detector are eliminated or cancelled in real time and image quality is improved.

Abstract: Data processing and storage is an important part of a number of applications. Conventional data processing and storage systems utilize either a full array structure or a full linked list structure for storing data wherein the array consumes large amount of memory and linked list provides slow processing. Thus, conventional systems and methods are not capable of providing simultaneous optimization of memory consumption and time efficiency. The present disclosure provides an efficient way of storing data by creating an integrated array and linked list based structure. The data is stored in the integrated array and linked list based structure by using a delta based mechanism. The delta based mechanism helps in determining the location in the integrated array and linked list based structure where the data should be stored. The present disclosure incorporates the advantages of both array and linked list structure resulting in reduced memory consumption and latency.

Abstract: Conventionally, for processing multi-legged orders, matching engines were implemented in software and were connected through Ethernet which is very slow in terms of throughput. Such traditional trading systems failed to process orders of tokens on different machines and these were summarily rejected. Present disclosure provides multiple FPGA system being optimized for processing/executing multi-legged orders. The system includes a plurality of FPGAs which are interconnected for communication via a PCIe port of a multi-port PCIe switch. Each FPGA comprise a net processing layer, a matcher, and a look-up table. Each FPGA is configured to process tokens (e.g., securities, etc.). If orders to be processed are for tokens on same FPGA where the order is received, then tokens are processed locally. Else net processing layer of a specific FPGA routes to specific order request to another FPGA where the tokens (securities) are located thereby reducing the latency and improving overall throughput.

Abstract: A thrust mount assembly includes a thrust link-lever that has a first end region, a second end region, and a fulcrum region disposed between the first end region and the second end region. A thrust link-lever may be coupled or couplable to a fulcrum body of an aft engine-mount at a fulcrum position of the thrust link-lever. When coupled to a turbomachine, the fulcrum position of the thrust link-lever may be laterally offset and/or laterally adjustable relative to an axis of rotation of the turbomachine. A load translated from an engine frame of a turbomachine to an engine-mounting linkage system may be determined and a fulcrum position for the thrust mount assembly may be adjusted laterally relative to an axis of rotation of the turbomachine.

Abstract: Embodiments of the present disclosure relate to generating explanation maps for explaining convolutional neural networks through attribution-based input sampling and block-wise feature aggregation. An example of a disclosed method for generating an explanation map for a convolutional neural network (CNN) includes obtaining an input image resulting in an output determination of the CNN, selecting a plurality of feature maps extracted from a plurality of pooling layers of the CNN, generating a plurality of attribution masks based on the plurality of feature maps, applying the generated attribution masks to the input image to obtain a plurality of visualization maps, and generating an explanation map of the output determination of the CNN based on the plurality of visualization maps.

Abstract: A method for controlling switched reluctance machine (SRM) utilizing a SRM control system. The method allows for adaptive pulse positioning over a wide range of speeds and loads. An initial rotor position is provided for the SRM utilizing an initialization mechanism. A pinned point on a phase current waveform is defined during an initial current rise phase of the current waveform. A slope of the current rise is determined as the current waveform reaches the pinned point. The slope is then fed to the commutation module of the SRM control system. An error signal from calculated inductance or current slope is used as an input to a control loop in the SRM control system. The time determining module determines an optimum time signal to fire a next pulse. The optimum time signal is fed to the SRM for turning the plurality of SRM switches to on and off states.

Abstract: An end-to-end automated testing platform that allows for standardized, enterprise-wide process, compliance and operational exposure testing. The testing platform is self-service, in that, users can manage the process by which (i) data sources are identified and data connections established, (ii) data is mapped from the data sources to meet test requirements, (iii) schedules for executing the test are established, and (iv) rules sets are established as the baseline for testing criteria. In addition, the platform provides for definition of the business rule logic to be used to perform the testing, application of the rule logic against appropriate business data to determine testing results and the dissemination of those results. Additionally, the platform provides for automated generation of test code, execution of the test code and compilation and dissemination of test results.

Abstract: A control system and method of controlling access to storage bins in a vehicle. The system includes a lock configured to be selectively movable between a locked position to prevent access to an interior of the storage bins and an unlocked position to allow access to the interior of the storage bins. A switch is positioned in a cabin of the vehicle. A control circuit is configured to determine an operational status of the vehicle and selectively position the locks. The control circuit can also receive an override signal from the switch and unlock the locks in certain situations.

Abstract: Provided herein are multilayer tape constructions comprising a damping layer and a bonding layer, wherein the multilayer tape construction effectively dissipates vibrations at low temperatures. The materials and configurations of the layers are selected such that the glass transition temperature of the bonding layer is greater than the glass transition of the damping layer, and the difference between the glass transition temperatures is related to the relative thicknesses of the damping layer and the bonding layer. The multilayer tape constructions may further comprise a carrier layer. Also provided are systems and methods using the disclosed multilayer tape constructions.

Abstract: An expandable endotracheal tube includes a shaft that has an airway. The expandable endotracheal tube also includes an expandable segment mounted to a distal end of the shaft. The expandable segment includes an expandable membrane and a constant force spring positioned within the expandable membrane. The constant force spring has a compressed configuration to allow for placement of the expandable endotracheal tube within a patient and an expanded configuration in which the expandable membrane forms a seal with a trachea of the patient to enable positive pressure ventilation.

Abstract: Methods and apparatuses relating to hardware processors with multiple interconnected dies are described. In one embodiment, a hardware processor includes a plurality of physically separate dies, and an interconnect to electrically couple the plurality of physically separate dies together. In another embodiment, a method to create a hardware processor includes providing a plurality of physically separate dies, and electrically coupling the plurality of physically separate dies together with an interconnect.

Abstract: Various methods, apparatuses/systems, and media for real-time template authoring and execution are provided. A receiver receives a request to create a real-time document template. A processor implements a template authoring work flow process by leveraging native tools to create the real-time document template based on the received request; creates a real-time document based on the real-time document template; triggers an automatic verification process or a manual verification process in response to creating the real-time document; and validates the real-time document for execution after completing the automatic verification process or the manual verification process.

Abstract: The invention provides stable coronavirus spike proteins. Immunogenic compositions comprising same and the methods of using these immunogenic compositions are also provided.

Abstract: The disclosures herein provide compounds of formula I or its pharmaceutical acceptable salts, as well as polymorphs, enantiomers, stereoisomers, solvates, and hydrates thereof. These compounds may be formulated as pharmaceutical compositions. The pharmaceutical compositions may be formulated for oral administration, intravenous, spray, parenteral, lozenge, solution, syrup, sachet, transdermal administration, or injection. Such compositions may be used to treatment of inflammation or its associated complications.

Abstract: Systems and methods for predictive data analytics are provided. A method comprises generating a guided user interface (GUI) that guides one or more user operations on the user interface including: obtaining, from a database, a dataset including a plurality of data objects; determining one or more characteristics associated with a first data object of the plurality of data objects; identifying a subset of the dataset based at least in part on the one or more characteristics; selecting at least one machine learning algorithm; and training a machine learning (ML) model with respect to the first data object using the subset of the dataset and the at least one machine learning algorithm to generate a trained ML model; implementing the trained ML model with respect to the first data object in a cloud server to enable distributing the trained ML model to a plurality of client device via a network.

Abstract: Provided is a process, including: obtaining a first training dataset, training a first machine-learning model on the first training dataset, obtaining a set of candidate question sequences, forming virtual subject-entity records, forming a second training dataset, training a second machine-learning model, and storing the adjusted parameters of the second machine-learning model in memory.