Abstract: The present disclosure describes how to capture events (e.g., changes and user interactions) of a Web document and combine those changes with the original DOM displayed to accurately and efficiently enable a replay engine to redisplay the DOM, changes, and user interactions which occurred within a user's browser. The data collected from a client-side HTML DOM capture engine can be combined with a minimal amount of contextual information to a replay engine so as to accurately and efficiently replay a session of a plurality of web documents.

Abstract: A method includes receiving first event data from a device, the first event data including a first identifier (ID) that identifies the device, web browser metadata, and data associated with an application state. The method includes generating a first persona including the first ID and a first event identifier that identifies a first user action. The method includes receiving second event data, the second event data including device metadata and a second ID that identifies the device. The method includes generating a second persona based on the second event data, the second persona including the second ID and a second event identifier that identifies a second user action. Additionally, the method includes determining that the first and second personas are associated with the device based on matches between the browser metadata and device metadata and transmitting a response to the device configured to route the device to the application state.

Abstract: A system for uroflowmetry is disclosed. The system can include an audio device configured to obtain audio data of urination. The system can include a machine learning module with at least one processor and associated memory, wherein the system is configured to: process the audio data of urination via a machine learning model that is trained based on simulated urine flow data and associated audio data received from a urine flow simulator, and real urine flow data and associated audio data received from a urine flow measuring device, and output the processed audio data of urination to be used in uroflowmetry.

Abstract: A method for reporting in vehicle media consumption and user interaction with a vehicle. The method including receiving raw data of media and vehicle usage of a vehicle by a platform device, the platform device including storage, operation controls, a microprocessor, a memory component, I/O inputs and outputs and an operating system installed and running thereon; processing the raw data to remove at least one obfuscation function to anonymize at least a portion of a personally identifiable information; and producing a report with the processed raw data relating to the user interaction vehicle and the media content.

Abstract: Methods and apparatuses for the identification and/or characterization of properties of a sample using mass spectrometry. The method involves using a measured spectrum of data from a sample taken with a mass spectrometer, deconvoluting the measured spectrum of data by applying parsimony weighting to minimize the number of charge states based on one or more of: the number of intense peaks in the mass spectrum; the number of harmonic relationships (e.g., masses in small integer ratios); and the number of off-by-one relationships (e.g., m/z bins with high probability for two adjacent charges). Thus, the underlying m/z spectrum may be inferred from the family of plausible deconvoluted spectra determined by applying parsimony and the inferred m/z spectrum may be used to identify and/or characterize the sample.

Abstract: A system for uroflowmetry is disclosed. The system can include an audio device configured to obtain audio data of urination. The system can include a machine learning module with at least one processor and associated memory, wherein the system is configured to: process the audio data of urination via a machine learning model that is trained based on simulated urine flow data and associated audio data received from a urine flow simulator, and real urine flow data and associated audio data received from a urine flow measuring device, and output the processed audio data of urination to be used in uroflowmetry.

Abstract: A method includes acquiring application data for applications. The application data specifies an application category and includes application words that describe the application. The method includes determining, for each application word, a global fraction value that indicates the fraction of applications with the application word, a category fraction value that indicates the fraction of applications in the category with the application word, and a ratio value that indicates the ratio of the category fraction value to the global fraction value. The method includes classifying application words as categorical words when the ratio value is greater than a ratio threshold. The method includes identifying similar applications and setting categorical words as categorical search keywords for applications when the categorical words are in greater than a threshold number of similar applications.

Abstract: Techniques can capture, store, and regenerate a view of content in applications (e.g., native applications) on devices (e.g., a mobile device). A capture management system can produce compact data storage of views of content in an application on a device and the efficient search thereof of views of content provided in the application. The views of content can be translated into a transportable data layer, such as HTML, and captured using delta encoding to identify changes and modifications in content accessed in any application at a device. A capture management system can accurately and efficiently capture events displayed for an application at a device and send the events to a server-side system, which can combine the events to reassemble the events. A user interface and user interaction events on an application at a mobile device can be reassembled for the purpose of playback and analysis of interactions with the application.

Abstract: The present embodiments relate to proactive learning of network software problems. In an embodiment, a method includes receiving, by a detection system, webpage data from a computer system. The computer system can receive the webpage data from a plurality of client devices. The webpage data can be associated with user identifiers identifying each client device of the plurality of client devices. The detection system can then receive assistance data from a user assistance computer. The user assistance computer can receive the assistance data from a plurality of user devices. The assistance data can be associated with user identifiers identifying each user device of the plurality of user devices. The detection system can label the webpage data based on the assistance data including matching user identifiers and then determine at least a pattern based on the labeled webpage data.

Abstract: A method includes receiving first event data from a device, the first event data including a first identifier (ID) that identifies the device, web browser metadata, and data associated with an application state. The method includes generating a first persona including the first ID and a first event identifier that identifies a first user action. The method includes receiving second event data, the second event data including device metadata and a second ID that identifies the device. The method includes generating a second persona based on the second event data, the second persona including the second ID and a second event identifier that identifies a second user action. Additionally, the method includes determining that the first and second personas are associated with the device based on matches between the browser metadata and device metadata and transmitting a response to the device configured to route the device to the application state.

Abstract: Techniques can capture, store, and regenerate a view of content in applications (e.g., native applications) on devices (e.g., a mobile device). A capture management system can produce compact data storage of views of content in an application on a device and the efficient search thereof of views of content provided in the application. The views of content can be translated into a transportable data layer, such as HTML, and captured using delta encoding to identify changes and modifications in content accessed in any application at a device. A capture management system can accurately and efficiently capture events displayed for an application at a device and send the events to a server-side system, which can combine the events to reassemble the events. A user interface and user interaction events on an application at a mobile device can be reassembled for the purpose of playback and analysis of interactions with the application.

Abstract: The present disclosure describes how to capture events (e.g., changes and user interactions) of a Web document and combine those changes with the original DOM displayed to accurately and efficiently enable a replay engine to redisplay the DOM, changes, and user interactions which occurred within a user's browser. The data collected from a client-side HTML DOM capture engine can be combined with a minimal amount of contextual information to a replay engine so as to accurately and efficiently replay a session of a plurality of web documents.

Abstract: Techniques are described herein for identifying issues related to digital interactions. For example, a detection system may be provided to analyze suspect sessions to determine if one or more stages associated with the suspect sessions are underperforming compared to corresponding stages associated with similar sessions. The detection system may provide a user interface that allows a user to select one or more attributes that may be associated with one or more sessions. Selection of the one or more attributes may identify multiple sessions (referred to as suspect sessions herein). The one or more suspect sessions may be analyzed to determine whether one or more stages associated with the one or more suspect sessions are underperforming compared to corresponding stages associated with one or more other sessions determined to be similar to the one or more suspect sessions.

Abstract: In a system for monitoring and assessing subject response to programmed physical training, a client application provides an intake form, into which subject information, such as contact information, demographics and history may be entered. At least part of the subject information may be stored in a central repository for aggregation with other subject data, for analysis and reporting. Parameterized descriptions of exercises produce a binary string for each exercise, the resulting in a binary map of an entire exercise system, such as the PILATES system. Using a digital session planner, a practitioner selects from filtered lists of exercises to generate a customized exercise sequence for a subject. After the training session, the binary strings for the session are aggregated and a summary of the session displayed for user and/or practitioner. Session data may be uploaded to the repository for aggregation with data from other subjects/session for analysis and reporting.

Abstract: This invention relates to graphical user-interactive displays for use in MS-based analysis of protein impurities, as well as methods and software for generating and using such. One aspect provides a user-interactive display comprising interactive and dynamic selection of one or more masses and concurrent display of peaks (points) corresponding to that predicted mass value across other displays (MS1, deconvolved mass spectrum, etc.).

Abstract: A method includes receiving a first request from a user device. The first request includes a partial search query sent from the user device while a user is typing a search query. The method includes generating one or more suggested search queries based on the partial search query and selecting a query advertisement record based on the partial search query. The query advertisement record includes an advertised search query and a bid price associated with the advertised search query. The method further includes sending a first response to the user device that includes the advertised search query and the one or more suggested search queries. The method further includes receiving a second request that includes the advertised search query, generating search results based on the advertised search query included in the second request, and sending the search results to the user device.

Abstract: A method includes receiving a search query from a user device and generating an application name stream query and an original stream query based on the search query. The application name stream query indicates an application name. The original stream query includes the search query. The method includes generating stream metadata for each of the stream queries that indicates a type of the stream query. The application name stream query is an application name type. The original stream query is an original stream type. The method includes, for each stream query, identifying a set of search records and generating a stream result score for each set of search records based on the type of stream query used in identifying the set of search records. Additionally, the method includes selecting a set of search records based on the stream result scores and generating search results based on the selected search records.

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: Techniques are described herein for identifying issues related to digital interactions. For example, a detection system may be provided to analyze suspect sessions to determine if one or more stages associated with the suspect sessions are underperforming compared to corresponding stages associated with similar sessions. The detection system may provide a user interface that allows a user to select one or more attributes that may be associated with one or more sessions. Selection of the one or more attributes may identify multiple sessions (referred to as suspect sessions herein). The one or more suspect sessions may be analyzed to determine whether one or more stages associated with the one or more suspect sessions are underperforming compared to corresponding stages associated with one or more other sessions determined to be similar to the one or more suspect sessions.