Abstract: Methods, systems, and apparatus, including medium-encoded computer program products include: obtaining a design space for a modeled object, for which a corresponding physical structure is to be manufactured, and one or more design criteria for the modeled object; iteratively modifying a first three-dimensional shape of the modeled object in the design space in accordance with the one or more design criteria, the iteratively modifying includes forming a second three-dimensional shape of the modeled object based on the first three-dimensional shape of the modeled object, where the second three-dimensional shape conforms to a predefined shape-type requirement, and penalizing modifications of the first three-dimensional shape that deviate from the second three-dimensional shape; and providing the first or second three dimensional shape of the modeled object for use in manufacturing the physical structure using one or more computer-controlled manufacturing systems.

Abstract: Described herein is a method for treating a metallic golf club head in a series of post-assembly steps, to provide a hardened dark coating. The method described herein includes a quench-polish-quench (QPQ) process that results in a surface coating with improved hardness, uniformity, and porosity characteristics, thereby reducing visible surface deformation and durability loss.

Abstract: Disclosed are various embodiments of permanent active sensors in a tire achieved by partially embedding a sensor component in a green tire and adding a removable power source after the tire is cured. The printed circuit board can be encapsulated in the rubber of the tire with a power source housing connected to the electronics through the rubber. In another aspect, the printed circuit board can be directly connected to the power source housing. The sensor interlocks with the rubber of the tire. Various structural features of the sensor, such as a flange or channels for the rubber, can be used to secure the sensor in the rubber of the tire.

Abstract: An infant play mat with a flexible central mat portion having a fabric surface that forms a first infant play area and including multiple flexible flaps extending from straight edges of the play mat. The infant play mat has a polygonal perimeter with multiple straight edges, with two of the edges defining a corner therebetween. Multiple flexible flaps extend from a respective one of the perimeter edges and define a fold line. Each flap has an upper flap surface exposed when the flap is extended, and hidden when the play mat is folded at the fold line to cover a region of the central mat portion. The central mat portion and lower surfaces of the flaps together form a second infant play area when the play mat is folded at all of the fold lines. Two of the flaps extend from the two edges to define the corner and are shaped such that, when overlaying the central mat portion, the two flaps do not overlap.

Abstract: An esophageal deflection device includes an elongate outer tube that has a natural curved deflection at a position that corresponds to a targeted esophagus region for deflection. The outer diameter of the outer tube is substantially matched to an inner diameter of the esophagus to closely contact the esophagus wall, or is at least half of the inner diameter, or is smaller and includes suction ports for drawing the esophagus wall inward. An insertion rod or tube includes a portion that is stiffer than the curved deflection, and slides into the elongate outer tube to straighten the tube and can serve to guide the deflection device into an esophagus. Subsequent withdrawal of the insertion tube or rod will allow the curved deflection to return to its natural shape and deflect the targeted region of the esophagus.

Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Abstract: A server device can obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle and historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle. The server device can process the historical location data and the historical ECU data to train a machine learning model to determine a relationship between the historical location data and the historical ECU data. The server device can receive location data and ECU data concerning the vehicle and update the machine learning model based on the location data and the ECU data. The server device can receive real-time location data concerning the vehicle and derive an equivalent real-time ECU speed using the machine learning model. The server device can generate a message regarding the equivalent real-time ECU speed of the vehicle and send the message to a remote device for display.

Abstract: A device can receive, from a client device, information identifying a location of the client device and determine at least one of an expected future location of the client device or the expected route of the client device based on the information identifying the location of the client device and at least one of: information identifying one or more expected possible routes e associated with the client device, or information identifying a route history associated with the client device, determine, based on the expected future location of the client device, information representing a map fragment and can determine speed limit information associated with the map fragment and, transmit, to the client device, the information representing the map fragment and the speed limit information, wherein the client device is to use the information representing the map fragment and the speed limit information to determine a speeding event associated with a vehicle.

Abstract: The present disclosure provides purification platforms comprising a depth filter step and/or a hydrophobic interaction chromatography (HIC) step. Also disclosed herein are methods of using the purification platforms described herein and compositions obtained therefrom, such as pharmaceutical compositions.

Abstract: A server device can obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle and historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle. The server device can process the historical location data and the historical ECU data to train a machine learning model to determine a relationship between the historical location data and the historical ECU data. The server device can receive location data and ECU data concerning the vehicle and update the machine learning model based on the location data and the ECU data. The server device can receive real-time location data concerning the vehicle and derive an equivalent real-time ECU speed using the machine learning model. The server device can generate a message regarding the equivalent real-time ECU speed of the vehicle and send the message to a remote device for display.

Abstract: A server device can obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle and historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle. The server device can process the historical location data and the historical ECU data to train a machine learning model to determine a relationship between the historical location data and the historical ECU data. The server device can receive location data and ECU data concerning the vehicle and update the machine learning model based on the location data and the ECU data. The server device can receive real-time location data concerning the vehicle and derive an equivalent real-time ECU speed using the machine learning model. The server device can generate a message regarding the equivalent real-time ECU speed of the vehicle and send the message to a remote device for display.

Abstract: A telematics configuration platform receives telematics device data that specifies hardware and software features associated with a telematics device, and identifies a first set of values for a first set of telematics device parameters. The telematics configuration platform receives user input identifying a particular vehicle type, and identifies a second set of values for a second set of device parameters. The telematics configuration platform generates a telematics device configuration that includes a third set of device parameters including a first parameter from the first set of telematics device parameters and a second parameter from the second set of telematics device parameters, and a third set of values for the third set of device parameters, each corresponding to either a first value in the first set of values or a second value in the second set of values. The telematics configuration platform performs an action based on the telematics device configuration.

Abstract: Systems and methods are disclosed for collecting vehicle data from a vehicle engine computer of a vehicle and a plurality of sensors disposed about the vehicle and generating feedbacks for a driver of the vehicle using at least the vehicle data. The systems and methods additionally provide for receiving user inputs from the driver responding to the feedbacks so that the user inputs are associated with corresponding rule violations that triggered the feedbacks.

Abstract: An apparatus for locating a preform on a mold includes a preform handling tool and a force sensor coupled to the preform handling tool such that the force sensor is capable of sensing forces applied to the preform during handling of the preform by the preform handling tool. The apparatus includes a control device that is arranged and operable to move the preform handling tool relative to the mold. A method of locating the preform on the mold includes picking up the preform using the preform handling tool and placing the preform in a vicinity of the mold. Positions on the mold are mapped with an edge of the preform with the aid of the force sensor. The preform is paced on the mold according to the mapped positions.

Abstract: A device, system and method for generating updated camera-projector correspondences from a reduced set of test patterns is provided. When a predetermined correspondences between projector points and camera points in an initial relative position of a projector and a camera have been previously determined, a recalibration therebetween may occur by projecting a single test pattern derived from the predetermined correspondences to estimate movement therebetween. When the movement is too great to be estimated by a single test pattern, another test pattern may be projected to determine an estimation function for the movement and in particular, estimate movement of one or more camera points in the projected images due to relative movement of the projector and the camera from the initial relative position to a current relative position.

Abstract: A server device can obtain historical location data, concerning a vehicle, captured by a global positioning system (GPS) device of the vehicle and historical engine control unit (ECU) data concerning the vehicle captured by an ECU of the vehicle. The server device can process the historical location data and the historical ECU data to train a machine learning model to determine a relationship between the historical location data and the historical ECU data. The server device can receive location data and ECU data concerning the vehicle and update the machine learning model based on the location data and the ECU data. The server device can receive real-time location data concerning the vehicle and derive an equivalent real-time ECU speed using the machine learning model. The server device can generate a message regarding the equivalent real-time ECU speed of the vehicle and send the message to a remote device for display.

Abstract: A device can receive, from a client device, information identifying a location of the client device and determine at least one of an expected future location of the client device or the expected route of the client device based on the information identifying the location of the client device and at least one of: information identifying one or more expected possible routes e associated with the client device, or information identifying a route history associated with the client device, determine, based on the expected future location of the client device, information representing a map fragment and can determine speed limit information associated with the map fragment and, transmit, to the client device, the information representing the map fragment and the speed limit information, wherein the client device is to use the information representing the map fragment and the speed limit information to determine a speeding event associated with a vehicle.

Abstract: A device, system and method for generating updated camera-projector correspondences from a reduced set of test patterns is provided. When a predetermined correspondences between projector points and camera points in an initial relative position of a projector and a camera have been previously determined, a recalibration therebetween may occur by projecting a single test pattern derived from the predetermined correspondences to estimate movement therebetween. When the movement is too great to be estimated by a single test pattern, another test pattern may be projected to determine an estimation function for the movement and in particular, estimate movement of one or more camera points in the projected images due to relative movement of the projector and the camera from the initial relative position to a current relative position.

Abstract: A telematics configuration platform receives telematics device data that specifies hardware and software features associated with a telematics device, and identifies a first set of values for a first set of telematics device parameters. The telematics configuration platform receives user input identifying a particular vehicle type, and identifies a second set of values for a second set of device parameters. The telematics configuration platform generates a telematics device configuration that includes a third set of device parameters including a first parameter from the first set of telematics device parameters and a second parameter from the second set of telematics device parameters, and a third set of values for the third set of device parameters, each corresponding to either a first value in the first set of values or a second value in the second set of values. The telematics configuration platform performs an action based on the telematics device configuration.

Abstract: A scanner for inspecting a component is disclosed. The scanner may include a main body having a clamp attachable to the component, a first arm moveably attached to the main body, a first probe attached to the first arm, a first axial actuator in mechanical communication with the first arm, a second arm moveably attached to the main body, a second probe attached to the second arm, a second axial actuator in mechanical communication with the second arm, and a radial actuator in mechanical communication with the first arm and the second arm.