Abstract: A method, computer system, and a computer program product for multi-cloud solution design and fulfillment via crowdsourcing is provided. Embodiments of the present invention may include receiving a request, wherein the request includes computing requirements. Embodiments of the present invention may include parsing the received request into partitions. Embodiments of the present invention may include advertising the partitions to a plurality of participating members on a trusted network environment. Embodiments of the present invention may include receiving conceptual solutions to the partitions. Embodiments of the present invention may include evaluating the received conceptual solutions.

Abstract: A wheel hub bearing for motor vehicles including a rotatable hub provided with a flange for the engagement of the hub to a wheel of a vehicle and provided with a radially outer free portion and a bearing unit provided with a radially outer ring for the engagement of the wheel hub bearing to a knuckle of the vehicle and a radially inner rotatable ring angularly connected to the hub. Furthermore, the wheel hub bearing has a device for detecting a vehicle parameter and provided with an encoder and a sensor in communication with the encoder. The encoder is ridgidly coupled to the radially outer free portion of the flange to jointly rotate with the hub.

Abstract: Metering based on application code complexity is provided. Code of an application to be executed is received from a user. Values of parameters corresponding to the application are extracted based on analysis of the code. A set of computational vectors corresponding to extracted values of the parameters of the application is generated to calculate a complexity of the code. A metering metric to charge the user to execute the application is determined based on the complexity of the code. The application is executed at the metering metric based on the complexity of the code.

Abstract: The present invention relates to an agricultural composition comprising an effective amount of at least one pesticidal active ingredient, an effective amount of sulphur, an effective amount of zinc and at least one agrochemically acceptable excipient.

Abstract: Several methods and systems for chroma residual data prediction for encoding blocks corresponding to video data are disclosed. In an embodiment, at least one coefficient correlating reconstructed luma residual samples and corresponding reconstructed chroma residual samples is computed for one or more encoded blocks of video data. Predicted chroma residual samples are generated for encoding a block of video data based on corresponding reconstructed luma residual samples and the at least one coefficient.

Abstract: A hearing device includes an enclosure comprising a shell and a faceplate and is configured for at least partial insertion within an ear of a user. An antenna structure of the hearing device is oriented such that a direction of an electric field (E-field) of a propagating electromagnetic signal generated by the antenna structure is directed non-tangentially with respect to the user at the location of the user's ear. The antenna structure includes an antenna disposed in or on the faceplate and a ground plane at least partially supported by the faceplate. A battery and electronic circuitry are disposed within the shell. The electronic circuitry is powered by the battery and is electrically coupled to send and/or receive signals via the antenna structure.

Abstract: Embodiments of the invention relate generally to protein extraction and, more generally, to bone protein extraction methods that do not require demineralization. In one embodiment, the invention provides a method comprising: mixing a bone sample and a quantity of an extraction buffer comprising: ammonium phosphate dibasic; or ammonium phosphate dibasic and ammonium bicarbonate; or ammonium phosphate dibasic, ammonium bicarbonate, and guanidine HCl; or sodium phosphate dibasic and sodium bicarbonate; or sodium phosphate dibasic, sodium bicarbonate, and guanidine HCl; or potassium phosphate dibasic and potassium bicarbonate; or potassium phosphate dibasic, potassium bicarbonate, and guanidine HCl; and incubating the bone sample/extraction buffer mixture.

Abstract: A memory cell includes a first resistive memory element, a second resistive memory element electrically coupled with the first resistive memory element at a common node, and a switching element comprising an input terminal electrically coupled with the common node, the switching element comprising a driver configured to float during one or more operations.

Abstract: A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Abstract: A system application, such as a cloud tethering subsystem, is instantiated to execute in an embedded environment of a storage system. Errors of the system application that require external support such as memory overflows, daemon errors, etc., are collected and posted using an error reporting system call to an operating system of the storage system in which the virtualized environment is executing. The storage system operating system posts the errors to an error system reporting system as a dial home service request on behalf of the system application. In this manner, the system application can issue dial home service requests without having direct access to the external error resolution system. In some embodiments, a guest operating system utility uses a SCSI mechanism to post errors to the storage system operating system.

Abstract: Methods, apparatus, and processor-readable storage media for detecting supply chain issues in connection with inventory management using machine learning techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to inventory items in connection with a supply chain; training machine learning techniques using the obtained data, wherein training the machine learning techniques comprises determining upper bounds and lower bounds for parameters related to the supply chain; detecting anomalies in audit data pertaining to at least one inventory item within the supply chain by processing the audit data using the machine learning techniques; generating a graph representing the supply chain based on the obtained data and the audit data; identifying at least one issue within the at least one supply chain by processing the graph in connection with the detected anomalies using graph algorithms; and performing an automated action based on the identified issue(s).

Abstract: A system and method may determine performance data for workers by for example generating or receiving, for a set (e.g. one or more) of workers, computer data describing total scheduled work time for the set of workers for a period or range of time; and obtaining or receiving for the set of workers computer data describing total out of conformance time for the set of workers for the period or range of time. The total scheduled work time for the set of workers for the period of time may have subtracting from it the total out of conformance time for the set of workers for the period of time, to create an intermediate sum. This intermediate sum may be divided by the total scheduled work time for set of workers for the period of time to calculate the non-productive conformance percentage for the set of workers.

Abstract: Electroplating systems may include an electroplating chamber. The systems may also include a replenish assembly fluidly coupled with the electroplating chamber. The replenish assembly may include a first compartment housing anode material. The first compartment may include a first compartment section in which the anode material is housed and a second compartment section separated from the first compartment section by a divider. The replenish assembly may include a second compartment fluidly coupled with the electroplating chamber and electrically coupled with the first compartment. The replenish assembly may also include a third compartment electrically coupled with the second compartment, the third compartment including an inert cathode.

Abstract: A 3D semiconductor device, the device including: a first level, where the first level includes a first layer, the first layer including first transistors, and where the first level includes a second layer, the second layer including first interconnections; a second level overlaying the first level, where the second level includes a third layer, the third layer including second transistors, and where the second level includes a fourth layer, the fourth layer including second interconnections; and a plurality of connection paths, where the plurality of connection paths provides connections from a plurality of the first transistors to a plurality of the second transistors, where the second level is bonded to the first level, where the bonded includes oxide to oxide bond regions, where the bonded includes metal to metal bond regions, and where the device includes a plurality of capacitors.

Abstract: Systems and methods for cognitive information mining are provided. A cognitive information extraction system provides intelligent information extraction from documents in different formats, types and forms. Since a huge portion of the data and information is still stored in unstructured documents in physical format, the system provides for a framework to extract information from such documents. Further, even in the digital form, the documents are available in multiple different formats, which can act as a great hindrance to useful extract information. The invention focuses upon mitigating this scenario by combining multiple AI models and modules to create a framework for document processing and human-machine interaction for training and QC verification, wherein the framework provides user the flexibility to work upon multiple types of documents, and also ensures that accuracy is maintained while the information is being extracted.

Abstract: A method includes receiving, by a processor, a data retrieval command from a host requesting data. In response to the data retrieval command, the method includes searching a mapping for the requested data. The mapping includes a tree structure with a series of nodes and a linked list associated with each node. The method further includes identifying portions of the linked list associated with the requested data and communicating the requested data to the host.

Abstract: A semiconductor device, the device including: a plurality of transistors, where at least one of the plurality of transistors includes a first single crystal source, channel, and drain, where at least one of the plurality of transistors includes a second single crystal source, channel, and drain, where the second single crystal source, channel, and drain is disposed above the first single crystal source, channel, and drain, where at least one of the plurality of transistors includes a third single crystal source, channel, and drain, where the third single crystal source, channel, and drain is disposed above the second single crystal source, channel, and drain, where at least one of the plurality of transistors includes a fourth single crystal source, channel, and drain, and where the first single crystal source or drain, and the second single crystal source or drain each include n+ doped regions.

Abstract: Architectures and techniques are described that can monitor or track change to storage system configuration. Changes to the configuration that are determined to be statistically significant in potentially affecting and/or causing performance issues of the storage system can be specifically tracked. Such can be accomplished by generating a hash data of the configuration data and sorting that hash data to data buckets based on a similarity score to other hash data of other storage systems.

Abstract: Embodiments of the present disclosure are directed toward techniques and configurations enhancing the performance of hardware (HW) accelerators. The present disclosure provides a schedule-aware, dynamically reconfigurable, tree-based partial sum accumulator architecture for HW accelerators, wherein the depth of an adder tree in the HW accelerator is dynamically based on a dataflow schedule generated by a compiler. The adder tree depth is adjusted on a per-layer basis at runtime. Configuration registers, programmed via software, dynamically alter the adder tree depth for partial sum accumulation based on the dataflow schedule. By facilitating a variable depth adder tree during runtime, the compiler can choose a compute optimal dataflow schedule that minimizes the number of compute cycles needed to accumulate partial sums across multiple processing elements (PEs) within a PE array of a HW accelerator. Other embodiments may be described and/or claimed.