Abstract: Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

Abstract: A method of providing an alert to a user of a vehicle includes determining a change in a vehicle operating state, determining if a remote electronic device is detected within the vehicle, and providing an alert to a user if certain conditions are met. An alert is provided if: a) the change in vehicle operating state was from on to off and a phone was detected within the vehicle; or b) the change in vehicle operating state was from off to on and phone was not detected within the vehicle.

Abstract: A method for broadcasting a basic safety message (BSM) packet from a host vehicle includes storing at least one path history entry of the host vehicle. The method includes determining whether a global navigation satellite system (GNSS) position fix is available. The method includes performing a corrective action on the at least one path history entry in response to the GNSS position fix not being available. The method includes, in response to the GNSS position fix being available, calculating a path history entry to be stored among the at least one path history entry based on the GNSS position fix. The method includes generating and broadcasting the BSM packet based on the at least one path history entry.

Abstract: Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

Abstract: Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

Abstract: The invention relates to (among other things) polymer-des-ethyl sunitinib conjugates and related compounds. A compound of the invention, when administered by any of a number of administration routes, exhibits advantages over des-ethyl sunitinib in unconjugated form.

Abstract: A method for broadcasting a basic safety message (BSM) packet from a host vehicle includes storing at least one path history entry of the host vehicle. The method includes determining whether a global navigation satellite system (GNSS) position fix is available. The method includes performing a corrective action on the at least one path history entry in response to the GNSS position fix not being available. The method includes, in response to the GNSS position fix being available, calculating a path history entry to be stored among the at least one path history entry based on the GNSS position fix. The method includes generating and broadcasting the BSM packet based on the at least one path history entry.

Abstract: Automatically identifying context-specific repeated transformations (such as repeated edit tasks) that are based on observation of the developer drafting or modifying code. As the developer modifies the code, the code passes through a series of states, one after the other. The computing system observes the series of states of the code. It is based on this observation that the computing system identifies repeated transformations of the code for potentially offering to continue performing the repeated transformations for the user. This alleviates the developer from having to manually perform the remainder of the repeated transformations.

Abstract: Automatically identifying context-specific repeated transformations (such as repeated edit tasks) that are based on observation of the developer drafting or modifying code. As the developer modifies the code, the code passes through a series of states, one after the other. The computing system observes the series of states of the code. It is based on this observation that the computing system identifies repeated transformations of the code for potentially offering to continue performing the repeated transformations for the user. This alleviates the developer from having to manually perform the remainder of the repeated transformations.

Abstract: Improving the results and process of machine learning service in computer program development. A client's codebase is accessed. A set of features are extracted from the client's codebase. One or more features from the set of features are then selected. Thereafter, at least one of the selected features is sent to a machine learning service that uses the received feature(s) to build custom model(s) for the client's computer system.

Abstract: Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

Abstract: Improving the results and process of machine learning service in computer program development. A client's codebase is accessed. A set of features are extracted from the client's codebase. One or more features from the set of features are then selected. Thereafter, at least one of the selected features is sent to a machine learning service that uses the received feature(s) to build custom model(s) for the client's computer system.

Abstract: The invention relates to (among other things) polymer-des-ethyl sunitinib conjugates and related compounds. A compound of the invention, when administered by any of a number of administration routes, exhibits advantages over des-ethyl sunitinib in unconjugated form.

Abstract: The invention relates to (among other things) polymer-des-ethyl sunitinib conjugates and related compounds. A compound of the invention, when administered by any of a number of administration routes, exhibits advantages over des-ethyl sunitinib in unconjugated form.

Abstract: Methods and apparatuses for a tissue mechanical property monitoring system are disclosed herein. In one embodiment, a tissue mechanical property monitoring system is disclosed. The tissue mechanical property monitoring system may comprise a probe, wherein the probe comprises a light source and a photodetector; and a main unit, wherein the main unit comprises a microcontroller and wireless transmitter. The probe may be hermetically sealed and may be capable of being implanted onto tissue. The photodetector may be capable of collecting reflectance data from the light emitted by the light source. The reflectance data may be capable of being sorted and processed into tissue mechanical property data such as tissue compliance, vascular resistance, and the like for the tissue illuminated with the probe.

Abstract: Methods and apparatuses for an oxygen consumption monitoring system are disclosed herein. In one embodiment, an oxygen consumption monitoring system is disclosed. The oxygen consumption monitoring system may comprise a probe, wherein the probe comprises a light source and a photodetector; and a main unit, wherein the main unit comprises a microcontroller and wireless transmitter. The probe may be hermetically sealed and may be capable of being implanted onto tissue. The photodetector may be capable of collecting reflectance data from the light emitted by the light source. The reflectance data may be capable of being sorted into arterial and venous blood oxygen consumption data for the tissue onto which the probe was placed or implanted. The data from the probe may be further sorted and processed to produce perfusion, heart rate, energy expenditure, caloric burn, blood pressure, hemoglobin concentration changes, and tissue oxidative stress.

Abstract: The invention relates to (among other things) polymer-des-ethyl sunitinib conjugates and related compounds. A compound of the invention, when administered by any of a number of administration routes, exhibits advantages over des-ethyl sunitinib in unconjugated form.

Abstract: A tachometer system is provided for a motor vehicle having an engine selected from a plurality of engines having unique maximum rated engine RPMs. The system has an RPM data signal and scale correction data. A microcontroller receives the RPM data signal and said scale correction data and generates a scaled tachometer signal therefrom in accordance with a computer program stored in a memory. A gauge drive circuit receives the scaled tachometer signal from the microcontroller. A tachometer gauge has a pointer driven by the gauge driver circuit. The computer program calculates the scaled tachometer signal according to a first scaling constant while the RPM data signal represents less than a predetermined RPM, and calculates the scaled tachometer signal according to a second scaling constant while the RPM data signal represents greater than the predetermined RPM. The second scaling constant is selected from a set of predetermined scaling constants according to the scale correction data.

Abstract: A tachometer redline display system having separately controllable sections for illuminating one or more of the sections from a removable outside programmable source. The selection of particular ones of the illumination portions allows for construction of a tachometer display device usable with all types of engines. Different redline requirements for different engines are taken into account by the number of illumination portions being turned on in response to the outside programmable source to provide improved efficiency in production and a streamlining of vehicle assembly lines containing tachometers.

Abstract: Protective packaging for electronic equipment includes an expanded foam body with cavities for components, air ducts, and the like. An outer EMI bag surrounds the equipment containing foam body. The assembly is enclosed within a deformable exterior case which includes front and rear covers, air filters, or fans. The cases are modular and stackable. Integrally formed connectors electrically couple adjacent cases together. The connectors couple the EMI bags together to form a common shield.