Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by allowing to visualize the flow of automotive data signals from a source system to a sink system with different metric signals at each step and creating a mechanism for creating automotive signal quality marker (ASQM) for high quality automotive data signals by determining high value data parameters, inter-parameter correlation, data quality variation with trip duration, and frequency of data collection/distribution across datasets. The quality criterion thus developed is applied to data generated from a plurality of data sources. The ASQM may be calculated by converting the developed automotive data signals quality criterion into a numeric value on a specified scale. It can be used by all stakeholders in the value chain for consistent measurement of automotive data signals quality.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: The present invention provides a novel compound of formula I, its derivatives, pharmaceutically acceptable salts thereof, and pharmaceutical compositions thereof. Compounds of the present invention are useful for modulating GSK3 level (e.g., GSK3 (e.g., GSK3a/GSK3b or GSK3P) or CK1) hence, activity.

Abstract: The present disclosure provides a system and a method facilitating optimized distribution of automotive signals across various consumers and providers. The system provides real-time data distribution to consumers, where the data is collected from a plurality of sources within a vehicle as well as different data providers. The system creates a profile pyramid, where basic signals in the incoming data are mapped to a base profile of the pyramid and includes additional and more advanced signals. The signal definition in each layer of the pyramid is based on common ontology and is agnostic of the signals defined by data providers. Each data consumer is tagged to a profile layer within the profile pyramid. A distributor distributes the data at a chosen frequency and sends multiple signals to different consumers without maintaining multiple copies of the configuration or incoming data.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by allowing aggregation of a set of automotive data packets pertaining to single trip using one or more common identifiers and one or more timestamps to enable enhanced data analytics and data correlation. The set of automotive data packets may be then segregated based on a plurality of sensor signals and a plurality of calculated signals to obtain a set of derived signals. The set of derived signals can provide an option of moving calculation of derived signals outside of vehicle to reduce computation cost on the vehicle. The size of the data packets may be optimized by sending the plurality of sensor signals outside of minimum signal set, only when one or more values change from the last stored value.

Abstract: The present disclosure relates to a system (102) for managing bulk consent, the system includes a processor (202) operatively coupled to a memory, the memory storing instructions executable by the processor to receive, from a first entity (108), a bulk consent request for one or more vehicles, wherein the bulk consent request comprises a plurality of categories of automotive data, each category comprises a set of parameters associated with corresponding one or more vehicles, indicate, by the first entity (108), a set of control values associated with corresponding one or more vehicles, the set of control values control access to the set of parameters, receive, by a second entity (110), the bulk consent request from the first entity through a distributor (104) and modify the set of parameters based on the set of control values specified by the first entity in the bulk consent request.

Abstract: The present invention provides a robust and effective solution to an entity or an organization for creating and standardizing an Automotive Data Quality Marker (ADQM) to determine/evaluate/predict the quality of automotive data such as Telematics, Body Control, ADAS, Diagnostics, Dashcams, and In-Vehicle Infotainment but not limited to the like generated by the vehicle (i.e., data source) using a machine learning (ML) engine associated with a processing unit. The machine learning engine comprises an amalgamation of machine learning algorithms to determine ADQM for a particular dataset. Data pertaining to vehicles is huge and repetitive. Re-training of the model for improved accuracy is a requirement as automotive data can be augmented with additional signals and data received and stored as trip objects on a regular basis.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by allowing to visualize the flow of automotive data signals from a source system to a sink system with different metric signals at each step and creating a mechanism for creating automotive signal quality marker (ASQM) for high quality automotive data signals by determining high value data parameters, inter-parameter correlation, data quality variation with trip duration, and frequency of data collection/distribution across datasets. The quality criterion thus developed is applied to data generated from a plurality of data sources. The ASQM may be calculated by converting the developed automotive data signals quality criterion into a numeric value on a specified scale. It can be used by all stakeholders in the value chain for consistent measurement of automotive data signals quality.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: The present invention relates to compositions that are effective in management of inflammatory diseases. The disclosure provides a peptide complex comprising Abeta 1-42 and undercarboxylated osteocalcin which displays anti-inflammatory and immunomodulatory functions. The disclosure further provides with processes for preparing the compositions.

Abstract: The present invention provides a novel compound of formula I, its derivatives, pharmaceutically acceptable salts thereof, and pharmaceutical compositions thereof. Compounds of the present invention are useful for modulating GSK3 level (e.g., GSK3 (e.g., GSK3a/GSK3b or GSK3P) or CK1) hence, activity.

Abstract: The present disclosure relates to improved compositions that are effective in management of disorders caused by pathogenic amyloid deposits. The disclosure discloses a composition comprising carboxylated osteocalcin which is effective in therapeutic clearance of abnormal amyloid deposits.

Abstract: Systems and methods are provided for automating the process of cataloging repair documents published by Original Equipment Manufacturers (OEMs). The method determines a corresponding service repair vehicle for the OEM vehicle associated with eh repair documents. Further, the OEM repair instructions are associated with the one or more vehicle parts of a service repair vehicle identified in a repair estimate record. The method of cataloging repair procedures from various OEMs utilizes standardized naming conventions a database structure for uploading individual documents.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: Systems and methods are provided for automating the process of mapping repair documents, published by Original Equipment Manufacturers (OEMs), to repair information provided in a repair estimate record. A baseline set of repair estimate records specifying one or more parts of a baseline vehicle and an associated set of repair documents specifying instructions for repairing the one or more parts of the baseline vehicle may be saved using a data categorization model in a mapping dataset. The repair documents associated with baseline set of repair estimate records which have been saved in the mapping dataset may then be used to automatically determine associations between another set of repair estimate records and corresponding repair documents.

Abstract: The present invention relates to compositions that are effective in management of inflammatory diseases. The disclosure provides a peptide complex comprising Abeta 1-42 and undercarboxylated osteocalcin which displays anti-inflammatory and immunomodulatory functions. The disclosure further provides with processes for preparing the compositions.

Abstract: A supramolecular insulin assembly and supramolecular exendin-4 assembly, which is useful as a protein therapeutic agent for the treatment of metabolic disorders particularly diabetes. The supramolecular assemblies disclosed in the present invention consists of insoluble and aggregated oligomers the protein. The invention also provides pharmaceutical compositions comprising the supramolecular assembly.

Abstract: Synthetic peptides and peptide copolymers for amelioration of autoimmune neurological syndrome, inflammatory and/or demyelinating conditions such as encephalomyletis are provided herein. The synthetic peptides and peptide copolymers as disclosed are obtained by substitution of at least one alpha amino acid by beta amino acid and/or ?3-homo amino acid.