Abstract: A computing device selects new test configurations for testing software. (A) First test configurations are generated using a random seed value. (B) Software under test is executed with the first test configurations to generate a test result for each. (C) Second test configurations are generated from the first test configurations and the test results generated for each. (D) The software under test is executed with the second test configurations to generate the test result for each. (E) When a restart is triggered based on a distance metric value computed between the second test configurations, a next random seed value is selected as the random seed value and (A) through (E) are repeated. (F) When the restart is not triggered, (C) through (F) are repeated until a stop criterion is satisfied. (G) When the stop criterion is satisfied, the test result is output for each test configuration.

Abstract: A putting alignment training device that is securable to an upper torso of a user, having an elongated shoulder board, an adjustable harness that is secured to the shoulder board and configured to secure the training device to a front side of the upper torso, a frontal board, an adjustable connector that secures the frontal board to the shoulder board, a grid board including a grid formed by a plurality of horizontal lines and a plurality of vertical lines wherein one of the plurality of horizontal lines and the plurality of vertical lines are parallel to the shoulder board.

Abstract: The present application relates to compositions comprising avocado/soybean unsaponifiables (“ASU”) and cannabis, and related methods of use. In one embodiment, the cannabis is a cannabis oil extract that is combined with ASU to reduce inflammatory responses and inflammation in humans and animals.

Abstract: The present invention relates to a composition for the protection, treatment and repair of cartilage in humans and animal joints. The composition contains a combination of unsaponifiable lipids together with one or more of polyphenols and/or catechins. The composition or kit may contain avocado:soybean unsaponifiables (ASU) and green tea.

Abstract: A virtual agent that utilizes an in-house natural language understanding (NLU) service and integrates a third party NLU service. The third-party NLU service is integrated with the virtual agent via a transformation script that establishes a transformation boundary through which communications are directed for adjustment and conditioning. The third party NLU service communicates with the virtual agent via an application programming interface (API). The virtual agent receives an utterance from a user via a chat session and provides the utterance to the third party NLU service. The third party NLU service may return intents, entities, and confidence, generate and return a response, and/or take actions within the cloud-based platform via the API, dependent upon the degree of integration. The virtual agent then provides a response to the user via the chat session.

Abstract: A computing device selects new test configurations for testing software. Software under test is executed with first test configurations to generate a test result for each test configuration. Each test configuration includes a value for each test parameter where each test parameter is an input to the software under test. A predictive model is trained using each test configuration of the first test configurations in association with the test result generated for each test configuration based on an objective function value. The predictive model is executed with second test configurations to predict the test result for each test configuration of the second test configurations. Test configurations are selected from the second test configurations based on the predicted test results to define third test configurations. The software under test is executed with the defined third test configurations to generate the test result for each test configuration of the third test configurations.

Abstract: Compositions are described including a synergistic combination of hydroxytyrosol and 3-O-acetyl-11-keto-?-boswellic acid. The hydroxytyrosol may be sourced from an olive extract and the 3-O-acetyl-11-keto-?-boswellic acid may be sourced from a Boswellia serrata extract. The compositions may be formulated for oral administration to a mammalian or an avian subject. Methods for treating, repairing, or reducing damage to connective tissue caused by one or more inflammatory mediators and for reducing levels of one or more inflammatory mediators in connective tissue are provided, the methods comprising orally administering the compositions to a subject in need thereof.

Abstract: A putting alignment training device that is securable to an upper torso of a user, having an elongated shoulder board, an adjustable harness that is secured to the shoulder board and configured to secure the training device to a front side of the upper torso, a frontal board, an adjustable connector that secures the frontal board to the shoulder board, a grid board including a grid formed by a plurality of horizontal lines and a plurality of vertical lines wherein one of the plurality of horizontal lines and the plurality of vertical lines are parallel to the shoulder board.

Abstract: Compositions are described including a combination of hydroxytyrosol and 3-O-acetyl-11-keto-?-boswellic acid. The hydroxytyrosol may be sourced from an olive extract and the 3-O-acetyl-11-keto-?-boswellic acid may be sourced from a Boswellia serrata extract. The compositions may be formulated for oral administration to a mammalian or an avian subject. Methods for preventing or reducing an inflammatory response in connective tissue are provided, the methods comprising orally administering the compositions to a subject in need thereof.

Abstract: The present invention provides shirts, such as shirts that are worn as work uniform shirts, which are configured to provide significant improvements in a wearer's comfort, performance, and mobility over a predefined range of motions. Embodiments of the shirts comprise one or more stretch panels that are configured to provide for stretching of the shirt at an identified micro site in order to provide a wearer with enhanced mobility. In other embodiments, the manner in which the various portions of the shirt are shaped and connected together, and specifically the connection between the sleeve and the rear panel of the shirt, may be adjusted in order to provide a wearer with enhanced mobility.

Abstract: An electrohydraulic valve system for controlling a braking system of a work machine includes a valve body forming a bore and a fluid channel, and a valve spool disposed within the bore and in fluid communication with the fluid channel. The valve spool includes at least a first land and a second land. An armature is positioned with respect to the valve spool to move the valve spool axially within the bore between a first position and a second position. A spring is disposed within the bore and biases the valve spool to its first position. A first electromagnetic coil and a second electromagnetic coil are operably controlled between an energized state and a de-energized state. The spring biases the valve spool to its first position when at least one of the first and second electromagnetic coil is in its de-energized state.

Abstract: Tuned hyperparameter values are determined for training a machine learning model. When a selected hyperparameter configuration does not satisfy a linear constraint, if a projection of the selected hyperparameter configuration is included in a first cache that stores previously computed projections is determined. When the projection is included in the first cache, the projection is extracted from the first cache using the selected hyperparameter configuration, and the selected hyperparameter configuration is replaced with the extracted projection in the plurality of hyperparameter configurations. When the projection is not included in the first cache, a projection computation for the selected hyperparameter configuration is assigned to a session. A computed projection is received from the session for the selected hyperparameter configuration.

Abstract: Tuned hyperparameter values are determined for training a machine learning model. When a selected hyperparameter configuration does not satisfy a linear constraint, if a projection of the selected hyperparameter configuration is included in a first cache that stores previously computed projections is determined. When the projection is included in the first cache, the projection is extracted from the first cache using the selected hyperparameter configuration, and the selected hyperparameter configuration is replaced with the extracted projection in the plurality of hyperparameter configurations. When the projection is not included in the first cache, a projection computation for the selected hyperparameter configuration is assigned to a session. A computed projection is received from the session for the selected hyperparameter configuration.

Abstract: Generation, by machine logic, of runbooks for problem events. Generation of runbooks including the following operations: receiving operator commands in a command line interface for an event group relating to an issue, wherein the operator commands resolve the issue; and storing the operator commands as related artifacts of the event group with mapping to affected resources. The method may match arguments of the operator commands to event metadata fields of events in the event group to generalize the arguments to the event metadata and to generate a runbook of generalized operator commands for future instances of an event group of a similar type.

Abstract: A computer solves a nonlinear optimization problem. An optimality check is performed for a current solution to an objective function that is a nonlinear equation with constraint functions on decision variables. When the performed optimality check indicates that the current solution is not an optimal solution, a barrier parameter value is updated, and a Lagrange multiplier value is updated for each constraint function based on a result of a complementarity slackness test. The current solution to the objective function is updated using a search direction vector determined by solving a primal-dual linear system that includes a dual variable for each constraint function and a step length value determined for each decision variable and for each dual variable. The operations are repeated until the optimality check indicates that the current solution is the optimal solution or a predefined number of iterations has been performed.