Abstract: Manufacturing processes can be optimized using machine learning models. For example, a system can execute an optimization model to identify a recommended set of values for configurable settings of a manufacturing process associated with an object. The optimization model can determine the recommended set of values by implementing an iterative process using an objective function. Each iteration of the iterative process can include selecting a current set of candidate values for the configurable settings from within a current region of a search space defined by the optimization model; providing the current set of candidate values as input to a trained machine learning model that can predict a value for a target characteristic of the object or the manufacturing process based on the current set of candidate values; and identifying a next region of the search space to use in a next iteration of the iterative process based on the value.

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: A method and apparatus for making a flow determination with respect to a flow through a fluid conduit is described. The apparatus comprises a first temperature sensor arranged to generate a temperature signal indicative of the temperature of the outer surface of the fluid conduit, a second temperature sensor arranged to generate a temperature signal indicative of the ambient temperature outside of the fluid conduit; and a processor arranged to make the flow determination. The flow determination is made by determining the first and second temperatures at a first time; predicting a predicted first temperature at a second time; determining the first temperature at the second time; and comparing the predicted first temperature with the determined first temperature at the second time.

Abstract: An anxiolytic composition includes a synergistic combination of one or more of an L-theanine, an s-adenosylmethionine (SAMe), and optionally an extract of Magnolia, an extract of Phellodendron, and a whey protein.

Abstract: A computing device selects decision variable values. A lower boundary value and an upper boundary value is defined for a decision variable. (A) A plurality of decision variable configurations is determined using a search method. The value for the decision variable is between the lower boundary value and the upper boundary value. (B) A decision variable configuration is selected. (C) A model of the model type is trained using the decision variable configuration. (D) The model is scored to compute an objective function value. (E) The computed objective function value and the selected decision variable configuration are stored. (F) (B) through (E) is repeated for a plurality of decision variable configurations. (G) The lower boundary value and the upper boundary value are updated using the objective function value and the decision variable configuration stored. Repeat (A)-(F) with the lower boundary value and the upper boundary value updated in (G).

Abstract: A computer trains a neural network model. (A) Observation vectors are randomly selected from a plurality of observation vectors. (B) A forward and backward propagation of a neural network is executed to compute a gradient vector and a weight vector. (C) A search direction vector is computed. (D) A step size value is computed. (E) An updated weight vector is computed. (F) Based on a predefined progress check frequency value, second observation vectors are randomly selected, a progress check objective function value is computed given the weight vector, the step size value, the search direction vector, and the second observation vectors, and based on an accuracy test, the mini-batch size value is updated. (G) (A) to (F) are repeated until a convergence parameter value indicates training of the neural network is complete. The weight vector for a next iteration is the computed updated weight vector.

Abstract: An anxiolytic composition includes a synergistic combination of an L-theanine and a whey protein composition.

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: In some examples, a sigma-delta analog-to-digital converter (ADC), comprises a first set of switches configured to receive a first voltage signal; a second set of switches coupled to the first set of switches at a first node and a second node, the second set of switches configured to receive a second voltage signal; an integrator including a first input sampling capacitor coupled to the first node and a second input sampling capacitor coupled to the second node, wherein the integrator configured to generate a first output signal. The sigma-delta ADC further comprises a comparator coupled to the integrator and configured to generate a second output signal based on the first output signal; and a controller unit having a first counter, a second counter, and a processor, the controller unit coupled to the first and second sets of switches, the integrator, and the comparator.

Abstract: Present embodiments are directed to a virtual agent with improved natural language understanding (NLU) capabilities. The disclosed virtual agent enables topic selection and topic changes during natural language exchanges with a user. The virtual agent is designed to select suitable topic flows to execute based on intents identified in received user utterances, including selection of an initial topic flow in response to a topic identified in a first user utterance, as well as switching between topic flows mid-conversation based on identified topic changes. The virtual agent is also capable of considering all intents and entities conveyed during the conversation, which enables the virtual agent to avoid prompting the user to provide redundant information. Furthermore, the virtual agent is capable of executing topic flows as part of a global topic flow, which enables the virtual agent to perform a number of predefined activities as part of each interaction with the user.

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: 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 computer trains a neural network model. (B) A neural network is executed to compute a post-iteration gradient vector and a current iteration weight vector. (C) A search direction vector is computed using a Hessian approximation matrix and the post-iteration gradient vector. (D) A step size value is initialized. (E) An objective function value is computed that indicates an error measure of the executed neural network. (F) When the computed objective function value is greater than an upper bound value, the step size value is updated using a predefined backtracking factor value. The upper bound value is computed as a sliding average of a predefined upper bound updating interval value number of previous upper bound values. (G) (E) and (F) are repeated until the computed objective function value is not greater than the upper bound value. (H) An updated weight vector is computed to describe a trained neural network model.

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: 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: Hydrogenation catalysts for aromatic hydrogenation including an organosilica material support, which is a polymer comprising independent units of a monomer of Formula [Z1OZ2OSiCH2]3 (I), wherein each Z1 and Z2 independently represent a hydrogen atom, a C1-C4 alkyl group or a bond to a silicon atom of another monomer; and at least one catalyst metal are provided herein. Methods of making the hydrogenation catalysts and processes of using, e.g., aromatic hydrogenation, the hydrogenation catalyst are also provided herein.

Abstract: In some examples, a sigma-delta analog-to-digital converter (ADC), comprises a first set of switches configured to receive a first voltage signal; a second set of switches coupled to the first set of switches at a first node and a second node, the second set of switches configured to receive a second voltage signal; an integrator including a first input sampling capacitor coupled to the first node and a second input sampling capacitor coupled to the second node, wherein the integrator configured to generate a first output signal. The sigma-delta ADC further comprises a comparator coupled to the integrator and configured to generate a second output signal based on the first output signal; and a controller unit having a first counter, a second counter, and a processor, the controller unit coupled to the first and second sets of switches, the integrator, and the comparator.

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: 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.