Abstract: The invention disclosed herein relates to a dry sensor for measuring the concentration of an analyte in a liquid beverage sample. Described herein is a novel dry sensor which is able to receive a liquid sample and adjust the pH of the liquid to be suitable for assaying an analyte of interest without the need to add reagents to the sample and/or to perform manually timed operations and able to detect a redox reaction in the presence of a liquid sample. The meter disclosed herein, when connected to the sensor disclosed herein is able to adjust the temperature of the liquid to be suitable for the assay, apply a series of potentials, measure the current at several times, measure the diffusion coefficient of the limiting electrochemical species, calculate the concentration of one or more analytes, and rapidly provide the user with the required information on the liquid sample.

Abstract: A system can include an axial field rotary energy device with an axis of rotation and a rotor coaxial with the axis and having a shaft, bearings, rotor disks that are coaxial and permanent magnets on each rotor disk. A printed circuit board (PCB) stator is located between the rotor disks to define an air gap on each side of the PCB stator. An enclosure has two enclosure sections with an inspection port. Bearing caps and bearings are mounted to the rotor. A variable frequency drive (VFD) assembly is coupled to the axial field rotary energy device. The VFD has a flexible conduit that extends between the VFD housing and the axial field rotary energy device. The flexible conduit can adapt to different sizes of axial field rotary energy devices.

Abstract: A machine learning model is trained from characteristics of code changes and characteristics of tests to generate an output indicative of a likely test result of running a corresponding test on a code change. One or more machine learning models may be trained for a specific code repository and based on developer feedback. When a code change is generated by a developer to code in a code repository, a machine learning model is selected based on the repository and characteristics or features of the code change are extracted and input to the machine learning model. The machine learning model generates a model output indicative of the likely test results of running each of a plurality of different tests on the code change. The model output indicates how likely it is that each of the plurality of different tests will fail. Based on the model output, a test selection system selects a subset of the plurality of different tests that should be run against the code changes.

Abstract: A system can include an axial field rotary energy device with an axis of rotation and a rotor coaxial with the axis and having a shaft, bearings, rotor disks that are coaxial and permanent magnets on each rotor disk. A printed circuit board (PCB) stator is located between the rotor disks to define an air gap on each side of the PCB stator. An enclosure has two enclosure sections with an inspection port. Bearing caps and bearings are mounted to the rotor. A variable frequency drive (VFD) assembly is coupled to the axial field rotary energy device. The VFD has a flexible conduit that extends between the VFD housing and the axial field rotary energy device. The flexible conduit can adapt to different sizes of axial field rotary energy devices.

Abstract: Systems and methods are provided for implementing adaptable embedded search engine functionality. In an aspect, a shared SERP system receives a user search query from a first search utility among a plurality of search utilities, which is associated with corresponding apps that are different from each other. A router of the shared SERP system provides the user search query and location information to a first query builder among one or more query builders of the shared SERP system. The first query builder constructs a query request corresponding to the user search query, based on the provided user search query and location information. A first query executor among one or more query executors of the shared SERP system executes the query request to produce search results. A component renderer of the shared SERP system renders one or more UX components within the first SERP, based on the search results.

Abstract: Provided is a precision metering and delivery apparatus and method of use for the precise distribution of viable pollen in diluent or other particulate material via metering and delivery of said pollen or other particulate material, said precision metering apparatus comprising a metering apparatus, a delivery system, and a storage device. Apparatuses of the present invention ensure that the pollen or other particulate material is not harmed during the delivery and that the pollen is applied in the correct density or amount.

Abstract: A system can include an axial field rotary energy device with an axis of rotation and a rotor coaxial with the axis and having a shaft, bearings, rotor disks that are coaxial and permanent magnets on each rotor disk. A printed circuit board (PCB) stator is located between the rotor disks to define an air gap on each side of the PCB stator. An enclosure has two enclosure sections with an inspection port. Bearing caps and bearings are mounted to the rotor. A variable frequency drive (VFD) assembly is coupled to the axial field rotary energy device. The VFD has a flexible conduit that extends between the VFD housing and the axial field rotary energy device. The flexible conduit can adapt to different sizes of axial field rotary energy devices.

Abstract: Supplements including krill oil, including significant fractions of phosopholipids (e.g., phosphatidylcholine (“PC”)), as well as triglycerides, in combination with curcuminoids. The particular formulation of PC and curcuminoids as packaged herein, in a rigid LiquidCap form, rather than a flexible softgel capsule, so as to purposefully exclude glycerin, results in the formation of a PC:curcuminoid complex, which provides for easier manufacturing, less incidence of capsule leakage, and perhaps most importantly, better bioefficacy.

Abstract: The invention disclosed herein relates to a dry sensor for measuring the concentration of an analyte in a liquid beverage sample. Described herein is a novel dry sensor which is able to receive a liquid sample and adjust the pH of the liquid to be suitable for assaying an analyte of interest without the need to add reagents to the sample and/or to perform manually timed operations and able to detect a redox reaction in the presence of a liquid sample. The meter disclosed herein, when connected to the sensor disclosed herein is able to adjust the temperature of the liquid to be suitable for the assay, apply a series of potentials, measure the current at several times, measure the diffusion coefficient of the limiting electrochemical species, calculate the concentration of one or more analytes, and rapidly provide the user with the required information on the liquid sample.

Abstract: An apparatus includes a hard plastic booster seat, a soft foam insert positioned inside the hard plastic booster seat, and a semi-circular tray removeably affixed to an upper channel of a top portion of the hard plastic booster seat, the tray comprising one or more sections configured to be locked separately or in combination into the upper channel with a dual function latch mechanism.

Abstract: An apparatus includes a hard plastic booster seat, a soft foam insert positioned inside the hard plastic booster seat, and a semi-circular tray removeably affixed to an upper channel of a top portion of the hard plastic booster seat, the tray comprising one or more sections configured to be locked separately or in combination into the upper channel with a dual function latch mechanism.

Abstract: Embodiments are directed towards classifying data using machine learning that may be incrementally refined based on expert input. Data provided to a deep learning model that may be trained based on a plurality of classifiers and sets of training data and/or testing data. If the number of classification errors exceeds a defined threshold classifiers may be modified based on data corresponding to observed classification errors. A fast learning model may be trained based on the modified classifiers, the data, and the data corresponding to the observed classification errors. And, another confidence value may be generated and associated with the classification of the data by the fast learning model. Report information may be generated based on a comparison result of the confidence value associated with the fast learning model and the confidence value associated with the deep learning model.

Abstract: Embodiments are directed towards classifying data using machine learning that may be incrementally refined based on expert input. Data provided to a deep learning model that may be trained based on a plurality of classifiers and sets of training data and/or testing data. If the number of classification errors exceeds a defined threshold classifiers may be modified based on data corresponding to observed classification errors. A fast learning model may be trained based on the modified classifiers, the data, and the data corresponding to the observed classification errors. And, another confidence value may be generated and associated with the classification of the data by the fast learning model. Report information may be generated based on a comparison result of the confidence value associated with the fast learning model and the confidence value associated with the deep learning model.