Abstract: Methods and apparatuses for the identification and/or characterization of properties of a macromolecule based on mass spectrometry data. Specifically, described herein are methods and apparatuses for converting peptide-level data into a pseudo-intact mass spectra. Also described herein are methods and apparatuses for converting peptide-level data into a pseudo-electropherogram. The methods may be well suited for analyzing proteins and protein complexes, including estimating properties of post-translational modifications of the proteins and protein complexes. Methods may include generating a theoretical graph or spectrum based on peptide-level mass spectrometry data. In some embodiments, the theoretical graph may be a theoretical intact mass spectrum or a theoretical charge distribution spectrum.

Abstract: Methods, systems, and computer-readable media for updating a machine learning model utilized in a search engine operation. The method identifies a set of search queries in stored search queries corresponding to a service and apply the identified set of search queries to the search engine to generate one or more search results for the service. Each search result has an assigned aggregate based on values of a set of parameters associated with the service. The method then analyzes the values of the set of parameters to determine a tradeoff point of each parameter to determine one or more weights to apply to the machine learning model based on the tradeoff points. The method stores the determined one or more weights and applies them to the machine learning model for a search query corresponding to the service.

Abstract: Methods, systems, and computer-readable media for linking multiple data entities. The method collects a snapshot of data from one or more data sources and converts it into a canonical representation of records expressing relationships between data elements in the records. The method next cleans the records to generate output data of entities by grouping chunks of records using a machine learning model. The method next ingests the output data of entities to generate a versioned data store of the entities and optimizes versioned data store for real-time data lookup. The method then receives a request for data pertaining to a real-world entity and presenting relevant data from the versioned data store of entities.

Abstract: Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.

Abstract: This invention relates to graphical user-interactive analysis of data, including in particular, mass spectrographic data analysis, as well as methods and software for generating and using such. One aspect provides user-customizable reports, including methods and apparatuses for generating customizable pivot tables and graphs specific to mass spectrographic data.

Abstract: A method for operating an access control device having a processor, a memory, and an internet connection comprises receiving a credential from a user; checking, by comparing the credential to matching credential information that would indicate the user is authorized to enter stored in the memory of the access control device, if no matching credential information that indicates the user is authorized is found in the memory of the access control device, then checking, at a remote cloud server, a list of buffered credential information for the matching credential information that indicates the user is authorized, and if the matching credential information that indicates the user is authorized is found, sending an unlock signal from the remote cloud server to the access control device.

Abstract: In a method for providing secure data storage, a user selection of a plurality of cloaking sequences is received. The cloaking sequences include at least a first and second cloaking sequence. The method also includes cloaking data (e.g., one or more files). Cloaking the data includes retrieving a first hidden sequence associated with the first cloaking sequence, and retrieving a second hidden sequence associated with the second cloaking sequence. The second hidden sequence includes an ordered sequence of bit sets each including one or more bits. Cloaking the data also includes using the first hidden sequence to identify offset positions within the data, and using the ordered sequence of bit sets to perform one or more operations on the data at the identified offset positions. The method further includes storing the cloaked data.

Abstract: Methods, systems, and computer-readable media for updating a machine learning model utilized in a search engine operation. The method identifies a set of search queries in stored search queries corresponding to a service and apply the identified set of search queries to the search engine to generate one or more search results for the service. Each search result has an assigned aggregate based on values of a set of parameters associated with the service. The method then analyzes the values of the set of parameters to determine a tradeoff point of each parameter to determine one or more weights to apply to the machine learning model based on the tradeoff points. The method stores the determined one or more weights and applies them to the machine learning model for a search query corresponding to the service.

Abstract: Methods, systems, and computer-readable media for linking multiple data entities. The method collects a snapshot of data from one or more data sources and converts it into a canonical representation of records expressing relationships between data elements in the records. The method next cleans the records to generate output data of entities by grouping chunks of records using a machine learning model. The method next ingests the output data of entities to generate a versioned data store of the entities and optimizes versioned data store for real-time data lookup. The method then receives a request for data pertaining to a real-world entity and presenting relevant data from the versioned data store of entities.

Abstract: In a method for providing secure data storage, a user interface is provided to a user, and a user selection of a plurality of cloaking sequences is received via the user interface. The cloaking sequences include at least a first and second cloaking sequence. The method also includes cloaking data (e.g., one or more files). Cloaking the data includes retrieving a first hidden sequence associated with the first cloaking sequence, and retrieving a second hidden sequence associated with the second cloaking sequence. The second hidden sequence includes an ordered sequence of bit sets each including one or more bits. Cloaking the data also includes using the first hidden sequence to identify offset positions within the data, and using the ordered sequence of bit sets to perform one or more operations on the data at the identified offset positions. The method further includes storing the cloaked data in a database.

Abstract: Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.

Abstract: Methods, systems, and computer-readable media for updating a machine learning model utilized in a search engine operation. The method identifies a set of search queries in stored search queries corresponding to a service and apply the identified set of search queries to the search engine to generate one or more search results for the service. Each search result has an assigned aggregate based on values of a set of parameters associated with the service. The method then analyzes the values of the set of parameters to determine a tradeoff point of each parameter to determine one or more weights to apply to the machine learning model based on the tradeoff points. The method stores the determined one or more weights and applies them to the machine learning model for a search query corresponding to the service.

Abstract: Provided herein are compounds and pharmaceutical compositions useful in modulating kinase activity, and related diseases. Also provided herein are methods of treating an eye disease or disorder in a subject. Also provided herein are methods of reducing intraocular pressure in a subject. Also provided herein are methods of modulating kinase activity in a cell. Also provided herein are methods of making the compounds provided herein, and compounds useful for the preparation of the compounds provided herein.

Abstract: Embodiments of the disclosure relate to tetrahydropyrazolopyrimidine compounds that act as antagonists or inhibitors for Toll-like receptors 7 and/or 8, and their use in pharmaceutical compositions effective for treatment of systemic lupus erythematosus (SLE) and lupus nephritis.

Abstract: Provided herein are 8-methyl-8-azabicyclo[3.2.1]octan-3-yl and pyridin-4-ylmethanyl ester and amide compounds and compositions. Also provided herein are methods of preventing or delaying the onset of myopia in a subject in need thereof, comprising administering the compounds or compositions provided herein to the subject. Also provided herein are methods of reducing or preventing the progression of myopia in a subject in need thereof, comprising administering the compounds or compositions provided herein to the subject.

Abstract: Provided herein are compounds and pharmaceutical compositions useful in modulating kinase activity, and related diseases. Also provided herein are methods of treating an eye disease or disorder in a subject. Also provided herein are methods of reducing intraocular pressure in a subject. Also provided herein are methods of modulating kinase activity in a cell. Also provided herein are methods of making the compounds provided herein, and compounds useful for the preparation of the compounds provided herein.

Abstract: A method for providing and maintaining secure storage of target data includes, during a first time period in which a server provides a first mapping between user-specific cloaking sequence elements and hidden sequence elements, cloaking the target data using a first set of user-specific cloaking sequences and the first mapping, and storing the cloaked data in a persistent memory. The method further includes, during a later, second time period in which the server provides a different, second mapping between the user-specific cloaking sequence elements and the hidden sequence elements, re-cloaking the cloaked data using the first set of user-specific cloaking sequences and the second mapping, and storing the re-cloaked data in the persistent memory.

Abstract: Digital pathology is a promising alternative to manual slide analysis, but improvements in imaging and analysis methods are needed to provide an analysis data set of images that can easily be handled, stored, and importantly, delivered from one data location to another. Methods and software are described herein to improve image collection and analysis.

Abstract: A method for operating an access control device having a processor, a memory, and an internet connection comprises receiving a credential from a user; checking, by comparing the credential to matching credential information that would indicate the user is authorized to enter stored in the memory of the access control device, if no matching credential information that indicates the user is authorized is found in the memory of the access control device, then checking, at a remote cloud server, a list of buffered credential information for the matching credential information that indicates the user is authorized, and if the matching credential information that indicates the user is authorized is found, sending an unlock signal from the remote cloud server to the access control device.

Abstract: Methods, systems, and computer-readable media for generating a virtual based on location. The method acquires a request for a service based on a type of service and is associated with a user, the user's location, and user preferences. The method then acquires a set of service providers based on the type of service and the user's location who are filtered from a larger set of service providers using user preferences. The method in the next step acquires a machine learning model that is based on stored information associated with other users travel patterns and with service providers providing the service and the geographical information associated with the user's location. The method executed the identified machine learning model to aggregate a subset of service providers based on output from the machine learning model. The machine learning model is inputted the set of service providers, the user's location, the user's preferences, and the geographical information.