Abstract: Provided are antibodies, or an antigen-binding fragment thereof, that binds human IL-21, These antibodies are useful in immunoassays of IL-21 levels, and/or in vivo, ex vivo or in vitro immunochemical and other imaging methods for determining the presence of IL-21 and/or quantifying IL-21 levels, and for diagnostic, prognostic and predictive purpose, and or optimizing therapeutic regimens in patients in which IL-21 signaling is implicated in pathogenesis.

Abstract: A system and method of braze resistance spot welding of an aluminum component to a galvanized steel component involve providing an aluminum-side electrode having a first tip defining a rounded shape, providing a galvanized steel-side electrode having a second tip defining a flat shape, depositing a braze filler material between the aluminum and galvanized steel components at a desired location for a spot weld, performing a pre-heat including providing a first current across the electrodes for a first period such that the braze filler melts and removes a portion of a zinc coating from the galvanized steel component, and after performing the pre-heat, performing a spot weld between the aluminum and galvanized steel components by providing a second current across the electrodes for a second period such that the aluminum melts and the galvanized steel does not melt, wherein the second current is greater than the first current.

Abstract: A method can include receiving time series data acquired during equipment operations at a plurality of natural resource sites; detecting operational events using the time series data; ranking the operational events; associating each of the operational events with a corresponding operational action; and outputting at least a portion of the ranked operational events, each with its corresponding operational action.

Abstract: An image inspection computing device is provided. The device includes a memory device and at least one processor. The at least one processor is configured to receive at least one sample image of a first component, wherein the at least one sample image of the first component does not include defects, store, in the memory, the at least one sample image, and receive an input image of a second component. The at least one processor is also configured to generate an encoded array based on the input image of the second component, perform a stochastic data sampling process on the encoded array, generate a decoded array, and generate a reconstructed image of the second component, derived from the stochastic data sampling process and the decoded array. The at least one processor is further configured to produce a residual image, and identify defects in the second component.

Abstract: There is disclosed a dispenser (10), such as a confectionery dispenser, for dispensing product objects such as pieces of confectionery (40). The dispenser (10) comprises a container (12) for storing product objects; and at least one dispensing arrangement (14, 16). The dispensing arrangement (14), (16) comprises an opening (18) provided in the container (12); a collection region (26) located within the container (12) and adjacent to the opening (18); a guide (32) disposed within the container (12) and adjacent to the collection region (26); and a dispensing tray (29) disposed within the container (12) and adjacent to the opening (18). The dispensing arrangement (14), (16) is configured the opening (18) and having a dispensing surface 30 accessible through such that in use in a loading orientation of the dispensing arrangement (14), (16) product objects collect in the collection region (26).

Abstract: A wireless charging system is configured to charge one or more receiver devices simultaneously. The wireless charging system includes a plurality of coils for wireless charging the one or more receiver devices. The wireless charging system may use a machine learning algorithm to detect the one or more receiver devices and select which of the multiple coils to activate for charging the multiple coils. Based on measurements made from signal through the coils within the wireless charging system, the machine learning algorithm determines a subset of the coils to activate for charging the detected one or more receiver devices.

Abstract: Distributed extraction of data for migration may be implemented for migrating data sets from a first data store to a second data store. Assignments may be determined for different migration agents to obtain and store the data set in the second data store along with a format for storing the assigned data set portions. The migration agents may then be caused to obtain the assigned portions and store the assigned portions in the second data store according to the identified format. Further operations to request or direct the ingestion of the data set from the second data store may be performed by migration agents with respect to a third data store that performs data ingestion.

Abstract: A method of a method of controlling a volume of material dispensed by a constant pressure adhesive and sealant dispensing system controlled by a controller during shots includes automatically adjusting a proportional valve control setting for an orifice size of a controlled pressure regulator. An orifice size control pressure corresponding to the proportional valve control setting is applied to an orifice size control inlet of the controlled pressure regulator. A volume of the material dispensed during each shot is monitored and when the volume of material dispensed during each shot of a predetermined number of successive shots is outside a target range, the proportional valve control setting is automatically adjusted by the controller.

Abstract: A method and system for validating data migrated from a source database to a target database and storing validation metrics resulting from validating the data are described. The system receives validation information to be used to validate data to be migrated from a source database to a target database. The system validates the data using the validation information and stores validation metrics resulting from validating the data.

Abstract: The subject matter discussed herein relates to multi-modal image alignment to facilitate biopsy procedures and post-biopsy procedures. In one such example, prostate structures (or other suitable anatomic features or structures) are automatically segmented in pre-biopsy MR and pre-biopsy ultrasound images. Thereafter, pre-biopsy MR and pre-biopsy ultrasound contours are aligned. To account for non-linear deformation of the imaged anatomic structure, a patient-specific transformation model is trained via deep learning based at least in part on the pre-biopsy ultrasound images. The pre-biopsy ultrasound images that are overlaid with the pre-biopsy MR contours and based off the deformable transformation model are then aligned with the biopsy ultrasound images. Such real-time alignment using multi-modality imaging techniques provides guidance during the biopsy and post-biopsy system.

Abstract: A wireless charging system is configured to charge one or more receiver devices simultaneously. The wireless charging system includes multiple coils that may be driven independently based on a feedback system with one or more feedback channels. One of the feedback channels may be demodulated communication signals from the one or more receiver devices. The demodulation may be performed by a communication demodulation circuit with configurable gain. The demodulated communication signals are processed for error correction at a bit level and a packet level, which improves accuracy despite presence of multiple receiver devices and noisy conditions.

Abstract: A wireless charging system is configured to charge one or more receiver devices simultaneously. The wireless charging system includes a plurality of coils for wireless charging the one or more receiver devices. The wireless charging system may use a machine learning algorithm to detect the one or more receiver devices and select which of the multiple coils to activate for charging the multiple coils. Based on measurements made from signal through the coils within the wireless charging system, the machine learning algorithm determines a subset of the coils to activate for charging the detected one or more receiver devices.

Abstract: A wireless charging system is configured to charge one or more receiver devices simultaneously. The wireless charging system includes multiple coils that may be driven independently based on a feedback system with one or more feedback channels. One of the feedback channels may be a voltage and/or current measurement of coil driving signals from the coils that are indicative of receiver device presences on the wireless charging system. A coil driving signal may be sampled and processed using discrete Fourier transform to determine amplitude and phase information of the signal.

Abstract: A wireless charging system is configured to charge one or more receiver devices simultaneously. The wireless charging system includes multiple coils that may be driven independently based on a feedback system with one or more feedback channels. Each coil is driven by a coil driving signal selected based on a set of target characteristics. A coil drive circuit receives an input of a pulse width modulation (PWM) signal and outputs the coil driving signal to a corresponding coil.

Abstract: An upset protrusion joining gun for joining two parts together by forging a protrusion of one part that extends through an opening in the other part to form a boss that extends over a portion of the other part surrounding the opening.

Abstract: An optical apparatus (10) for routing an optical signal (12) comprises a body (14) comprising a material. A waveguide (16) is formed in the body (14) by laser modification of the material. The optical apparatus (10) further comprises a region (18) comprising a lower refractive index than the material of the body (14) and defines an interface (24) between the region (18) and the waveguide (16). The waveguide (16) and the interface (24) are aligned relative to each other for routing the optical signal (12) therebetween and reflecting the optical signal (12) at the interface (24).

Abstract: Data is migrated between a source database and a target database. The source database management system (“DBMS”) remains operational during the migration. A user selects the source DBMS and target DBMS, provides connection information used to connect to the database management systems and selects a virtual machine instance to perform the migration in conjunction with a database migration service. After the setup is complete, the virtual machine instance in conjunction with the database migration service performs data type transformations, and other operations, without user intervention. The database migration service also converts, without user intervention, the source schema and code to a format compatible with the target DBMS. Any code that is not converted is marked to assist the user of the database migration service identify where manual re-coding is required. The database migration service can also provide recommendations as to a target DBMS that is a suitable target DBMS.

Abstract: A vehicle control system having a controller and a spatial database adapted to provide spatial data to the controller at control speed. The spatial data provided from the spatial database to the controller includes images collected from an optical sensor subsystem in addition to other data collected by a variety of sensor types, including a GNSS or inertial measurement system. The spatial data received by the controller from the database forms at least part of the control inputs that the controller operates on to control the vehicle. The advantage provided by the present invention allows control system to “think” directly in terms of spatial location. A vehicle control system in accordance with one particular embodiment of the invention comprises a task path generator, a spatial database, at least one external spatial data receiver, a vehicle attitude compensation module, a position error generator, a controller, and actuators to control the vehicle.