Abstract: Core particles produced in situ or introduced as preformed core particles are coated with a layer of carbon. Non-carbon as well as some carbon-based core materials can be utilized. The resulting carbon coated particles can find applications in rubber products, for instance as reinforcement for tire components.

Abstract: Various embodiments of the present disclosure include a system, method, and apparatus for increased control of steam injection for use in oil and gas recovery in a well. Embodiments can comprise a plurality of controllable zones of injection disposed in the well. The plurality of controllable zones include a primary conduit that houses a plurality of concentric conduits of decreasing diameter disposed inside of the primary conduit. In some embodiments, each of the concentric conduits includes a proximal end and a distal end. In some embodiments, each of the plurality of concentric conduits are fluidly sealed from one another from their respective proximal end to distal end.

Abstract: The current disclosure provides a gas-liquid falling film equilibration apparatus, systems incorporating the apparatus, and methods of their use. The apparatus comprises a chamber, an equilibration member within the chamber, liquid and gas inlet and outlets, such that a liquid introduced into the chamber from the liquid inlet contacts the upper portion of the outer surface of the equilibration member. The apparatus finds use in the measurement of dissolved gases in a variety of liquids including the measurement of carbon dioxide in water.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for classifying merchants. In one embodiment a method is provided comprising providing, a first promotion specifying a redemption and a charge monetary values, the redemption monetary value being specified by redemption parameters of the first promotion and a value indicative of a total amount of funds purchased in response to accepting an instance of the first promotion, wherein the funds purchased can be redeemed for offerings of one or more merchants specified by the promotion, the charge monetary value being a monetary value charged for accepting the first promotion, and providing a first classification classifying the first promotion as a promotion having a redemption monetary value that may be used to purchase offerings of the one or more merchants over the course of multiple transactions.

Abstract: Systems and methods for delivering application media content to multiple social media systems (SMSs) for display to SMS members. The method includes the steps of providing initial application media content to respective SMSs. Once a respective SMS member interacts with the initial content, a social relationship management system (SRMS) receives indication from an SMS of such interaction, and retrieves a unique application media file relating to application media content. The unique application media file is then applied to an application media container file that overcomes certain formatting protocols and requirements of the SMS and enables transmission and delivery of the application media content to the SMS. The application media content is then delivered to the SMS member on the SMS through the application media container file.

Abstract: Various embodiments of the present technology generally relate to solutions for improving industrial automation programming and data science capabilities with machine learning. More specifically, embodiments of the present technology include systems and methods for implementing machine learning engines within industrial programming and data science environments to improve performance, increase productivity, and add functionality. In an embodiment, a system comprises a user interface component configured to display a programming environment for editing control logic, wherein operational data from the industrial automation environment is accessible from within the programming environment through a data pipeline. A machine learning-based data science engine is configured to process the operational data from the industrial automation environment to generate processed data and identify a portion of the processed data relevant to a component of the control logic.

Abstract: Various embodiments of the present technology generally relate to integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises a screen capture component configured to capture images of a human-machine interface in an industrial automation environment, wherein the one or more images include at least one visual depiction of data collected from an industrial device. The system further comprises an input component configured to provide the images to a machine learning model configured to analyze an operating condition of the industrial device.

Abstract: Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises an interface component configured to display a graphical representation of a machine learning asset in an industrial automation environment, wherein the graphical representation includes a visual indicator representative of an output from the machine learning asset. The interface component is further configured to adjust the visual indicator based on the output from the machine learning asset.

Abstract: Various embodiments of the present technology generally relate to solutions for improving industrial automation programming and data science capabilities with machine learning. More specifically, embodiments of the present technology include systems and methods for implementing machine learning engines within industrial programming and data science environments to improve performance, increase productivity, and add functionality. In an embodiment, a system comprises a machine learning-based analysis engine configured to identify a variable that is available to be utilized in control logic for controlling an industrial automation environment. The machine learning-based analysis engine is further configured to determine that the variable is not utilized in the control logic. A recommendation component of the system is configured to, in an industrial programming environment, surface a recommendation to add the variable to the control logic.

Abstract: Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments of the present technology include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing control programs. In an embodiment, a system comprises: a storage component configured to maintain a set of model control schemes for controlling an industrial process, a control component configured to control the industrial process with a control program running a model control scheme, wherein the model control scheme is configured to optimize a first parameter of the industrial process, and a model management component configured to change the model control scheme to optimize a second parameter of the industrial process that is distinct from the first parameter.

Abstract: Various embodiments of the present technology generally relate to solutions for improving industrial automation programming and data science capabilities with machine learning. More specifically, embodiments include systems and methods for implementing machine learning engines within industrial programming and data science environments to improve performance, increase productivity, and add functionality. In an embodiment, a system comprises a machine learning-based analysis engine configured to perform an analysis of operational data from an industrial automation environment. The analysis engine is further configured to perform an analysis of control logic and identify, based on the analysis of the operational data and the analysis of the control logic, a variable that is in the control logic but is not used in the operational data. The system further comprises a notification component configured to surface a notification that the variable is in the control logic but is not used in the operational data.

Abstract: Various embodiments of the present technology generally relate to solutions for improving industrial automation programming and data science capabilities with machine learning. More specifically, embodiments of the present technology include systems and methods for implementing machine learning engines within industrial programming and data science environments to improve performance, increase productivity, and add functionality. In an embodiment, a system comprises a machine learning-based recommendation engine configured to, an industrial programming environment, generate a recommendation to add a component to control logic based on an existing portion of the control logic. A notification component is configured to surface the recommendation in the programming environment. A programming component is configured to, in the programming environment, add the component to the control logic.

Abstract: Various embodiments of the present technology generally relate to solutions for integrating machine learning models into industrial automation environments. More specifically, embodiments include systems and methods for implementing machine learning models within industrial control code to improve performance, increase productivity, and add capability to existing programs. In an embodiment, a system comprises: a control component configured to run a closed-loop industrial process comprises a first machine learning model; a measurement component configured to measure a gap between outcome data predicted by the first machine learning model and actual outcome data; a determination component configured to determine, based on the gap, that the first machine learning model has degraded; and a management component configured to replace the first machine learning model with a second machine learning model, wherein the second machine learning model is trained based at least in part on the actual outcome data.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for classifying merchants. In one embodiment a method is provided comprising providing, a first promotion specifying a redemption and a charge monetary values, the redemption monetary value being specified by redemption parameters of the first promotion and a value indicative of a total amount of funds purchased in response to accepting an instance of the first promotion, wherein the funds purchased can be redeemed for offerings of one or more merchants specified by the promotion, the charge monetary value being a monetary value charged for accepting the first promotion, and providing a first classification classifying the first promotion as a promotion having a redemption monetary value that may be used to purchase offerings of the one or more merchants over the course of multiple transactions.

Abstract: Embodiments of the present disclosure relate generally to a method, apparatus and system for the evaporation of produced water and dirty water from oil and gas production and other dirty water sources. The evaporation system may consist of a portable pond embodied in an Above Ground Storage Tank (AST) system and a fluid projection system which maybe controlled and employ optimized operating conditions to maximize the evaporation of produced water under varying meteorological and chemical condition.

Abstract: A device for closing a tissue opening includes a proximal housing portion having a first portion, a second portion, a third portion, and a fourth portion. The first portion and the fourth portion extending transversely to a longitudinal axis of the proximal housing portion on opposite sides of the proximal housing portion. A distal portion extends from the proximal housing portion. At least the second portion and the third portion are configured to move toward the first portion.

Abstract: Modulated light therapy devices for treatment of dermatological disorders of the scalp are provided. An exemplary device includes a flexible printed circuit board (FPCB) supporting at least one light emitting device having an emitter height. The FPCB includes multiple interconnected panels and bending regions defined in and between at least some of the interconnected panels as to allow the FPCB to be configured in a concave shape to cover at least a portion of a cranial vertex of the patient. At least one light-transmissive layer proximate to the FPCB is configured to transmit (e.g., incoherent) light emissions generated by at least one light emitting device. At least one standoff is configured to be arranged between the FPCB and the scalp of the patient, wherein the at least one standoff includes a standoff height that exceeds the emitter height.

Abstract: Methods to prepare elastomer compounds are described that include dry mixing at least one additive to an elastomer composite masterbatch at low temperatures over a shortened mixing cycle with reduced energy consumption. The elastomer composite masterbatch is produced in a liquid masterbatch process. The resulting elastomer compounds are further described as well as property improvements that can be achieved.

Abstract: The current disclosure provides a gas-liquid falling film equilibration apparatus, systems incorporating the apparatus, and methods of their use. The apparatus comprises a chamber, an equilibration member within the chamber, liquid and gas inlet and outlets, such that a liquid introduced into the chamber from the liquid inlet contacts the upper portion of the outer surface of the equilibration member. The apparatus finds use in the measurement of dissolved gases in a variety of liquids including the measurement of carbon dioxide in water.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for classifying merchants. In one embodiment a method is provided comprising providing, a first promotion specifying a redemption and a charge monetary values, the redemption monetary value being specified by redemption parameters of the first promotion and a value indicative of a total amount of funds purchased in response to accepting an instance of the first promotion, wherein the funds purchased can be redeemed for offerings of one or more merchants specified by the promotion, the charge monetary value being a monetary value charged for accepting the first promotion, and providing a first classification classifying the first promotion as a promotion having a redemption monetary value that may be used to purchase offerings of the one or more merchants over the course of multiple transactions.