Abstract: The disclosure relates to a method, apparatus, readable medium, and electronic device for live stream interaction. The method includes: in accordance with displaying of a first control at a first target position of a live stream interface, obtaining a first duration during which a user watches the live stream interface; in accordance with a determination that the first duration is greater than or equal to a first predetermined duration threshold, switching the first control to a second control, and displaying the second control at a second target position of the live stream interface; and in response to a first operation command performed by the user on the second control, allocating a virtual resource to the user. In this way, interaction modes of a live stream room are enriched, and an activity level of the live stream room can be improved.

Abstract: A method and a non-transitory computer readable medium for generating polygons within a geographic region that satisfy a query are disclosed. For example, the method extracts a plurality of nodes, a plurality of service providers and information associated with the plurality of nodes and the plurality of service providers of the geographic region from a geographic data source, creates a node table based on the information that was extracted, receives the query for one or more nodes having a predefined number of service providers within a travel budget, determines the one or more nodes from the node table that satisfy the query, and generates one or more generate polygons around the one or more nodes that satisfy the query within the geographic region.

Abstract: A system for recognizing processes performed by a call center agent during a session may receive input data from a screen recording system that includes a video signal representing a plurality of frames from a time-series video recording or video stream of a desktop of a user electronic device. The system processes the video signal to identify one or more frames of interest from the plurality of frames. Each frame of interest includes a change in a layout of the corresponding one or more screens as compared to a preceding frame in the time-series video recording. The system automatically identifies actions performed by the call center agent that represent an interaction that the call center agent had with one or more screens corresponding to the frame of interest. The system generates an event log that includes a timeline depicting a visual representation of the identified actions.

Abstract: A system for recognizing processes performed by a call center agent during a session may receive input data from a screen recording system that includes a video signal representing a plurality of frames from a time-series video recording or video stream of a desktop of a user electronic device. The system processes the video signal to identify one or more frames of interest from the plurality of frames. Each frame of interest includes a change in a layout of the corresponding one or more screens as compared to a preceding frame in the time-series video recording. The system automatically identifies actions performed by the call center agent that represent an interaction that the call center agent had with one or more screens corresponding to the frame of interest. The system generates an event log that includes a timeline depicting a visual representation of the identified actions.

Abstract: A system for recognizing processes performed by a call center agent during a session may collect input data by initiating a screen capture logging thread to capture screen shots of a desktop of the electronic device during a session. The system analyzes the input data to generate one or more events, generates a mid-level event log comprising one or more of the events, and performs action recognition on the mid-level event log to ascertain one or more actions that were performed within the one or more graphical user interfaces by the call center agent during the session.

Abstract: Methods and systems are provided for determining performance characteristics of an application processing system. The method comprises monitoring throughput of a plurality of resources of the system in a selected time window. A change rate is detected in the throughput of the resources, respectively, representative of a change to constancy of workload in at least some of the resources. Such a change in constancy comprises a knee point of a plot of resource usage comprising load relative to throughput. The time of the change rate is identified within the time window. A relatively first to occur of a plurality of resources knee points is determined wherein the resource corresponding to the first to occur is determined to have a fully loaded throughput within the multi-tier processing system. The determination of the first to occur knee point comprises pinpointing a bottleneck starting point within the application processing system.

Abstract: A system for recognizing processes performed by a call center agent during a session collects from one or more input devices in communication with the electronic device, input data that includes data pertaining to one or more interactions that a call center agent has with one or more programs running on the electronic device that cause one or more graphical user interfaces to be displayed on a desktop of the electronic device during a session. The system analyzes the input data to generate one or more events and a mid-level event log having one or more of the events, and performs action recognition on the mid-level event log to ascertain one or more actions that were performed within the one or more graphical user interfaces by the call center agent during the session.

Abstract: A method of evaluating managed care organizations (MCOs) includes acquiring medical data associated with patients' healthcare encounters with the MCOs, calculating a health risk score of a subpopulation using patient characteristic data included in the medical data, providing encounter data included in the medical data and the health risk score as input to analytic processes that track services provided by the MCOs, and generating a risk-adjusted performance metric of the MCOs by the analytic processes. The risk-adjusted performance metrics relate to categories of concern. The method further includes generating a standardized score for each of the risk-adjusted performance metrics based on a comparison of the subpopulation with an entire population, assigning a weight to each of the standardized scores based on an importance level of each category of concern, and generating a final score corresponding to a performance category for each of the MCOs based on the standardized scores.

Abstract: A method and a non-transitory computer readable medium for generating polygons within a geographic region that satisfy a query are disclosed. For example, the method extracts a plurality of nodes, a plurality of service providers and information associated with the plurality of nodes and the plurality of service providers of the geographic region from a geographic data source, creates a node table based on the information that was extracted, receives the query for one or more nodes having a predefined number of service providers within a travel budget, determines the one or more nodes from the node table that satisfy the query, and generates one or more generate polygons around the one or more nodes that satisfy the query within the geographic region.

Abstract: A computer system configured to determine healthcare accessibility in a geographic region includes a memory storing a computer program, and a processor configured to execute the computer program. The computer program is configured to determine an expected level of care necessary for each member in the geographic region relating to a medical service type using member demographic data, aggregate the expected level of care necessary for each member to determine a total level of demand of the medical service type, and construct a ball tree representation indicating the healthcare accessibility for the medical service type on a display in real-time.

Abstract: A computer system configured to improve health outcomes and reduce medical service costs includes a memory storing a computer program and a processor that executes the computer program. The computer program receives a medical inquiry, extracts a keyword using natural language processing (NLP), selects a category of concern indicated by the medical inquiry from a library using the keyword, determines leading factors contributing to the category of concern based on a statistical model analysis, selects analytic modules from a library that receive at least one of the leading factors as an input parameter or produce at least one of the leading factors as an output parameter, and generates a recommendation including a listing of the selected analytic modules and/or a constructed workflow including at least two of the selected analytic modules chained together via respective input parameters and output parameters of the at least two selected analytic modules.

Abstract: A system and method for automating analytic processes to improve health outcomes and manage healthcare costs. Data associated with healthcare encounters with managed care organizations (MCOs) is acquired. Findings, predictions, and recommendations for tracking services provided by the MCOs are identified with analytic flows that are based on the data. Relations between the services provided by the MCOs and the healthcare encounters are identified. Utilization statistics are extracted from the data with the analytic processes. Information from the utilization statistics relevant to the healthcare encounters is output.

Abstract: A method, non-transitory computer readable medium, and apparatus for recommending a repair for a business process are disclosed. For example, the method identifies an empirical process graph that corresponds to a theoretical process graph of the business process, decomposes the theoretical process graph into one or more sub-process graphs, identifies a portion of the empirical process graph to compare to one of the one or more sub-process graphs, compares the portion of the empirical process graph to the one of the one or more sub-process graphs to calculate a remainder, repeats the identifying and the comparing for each one of the one or more sub-process graphs and recommends a list of one or more repairs, wherein each one of the one or more repairs corresponds to a respective remainder calculated in the comparing.

Abstract: Methods and systems are provided for determining performance characteristics of an application processing system. The method comprises monitoring throughput of a plurality of resources of the system in a selected time window. A change rate is detected in the throughput of the resources, respectively, representative of a change to constancy of workload in at least some of the resources. Such a change in constancy comprises a knee point of a plot of resource usage comprising load relative to throughput. The time of the change rate is identified within the time window. A relatively first to occur of a plurality of resources knee points is determined wherein the resource corresponding to the first to occur is determined to have a fully loaded throughput within the multi-tier processing system. The determination of the first to occur knee point comprises pinpointing a bottleneck starting point within the application processing system.

Abstract: A verification system for a large-scale weighing machine comprises at least four tension frameworks penetrating through a weighing platform hole preset on a weighing platform surface of the weighing machine, for connecting to a weighing platform foundation and being disposed perpendicular to the weighing platform surface, at least four self-adjusting loading-unloading load measuring devices disposed corresponding to the tension frameworks, and a constant-load control device connected with the loading-unloading mechanism and allows the loading-unloading mechanism to maintain constant applied load while loading. The self-adjusting loading-unloading load measuring devices includes a self-adjusting loading-unloading mechanism and a high-precision load measuring instrument adjacent to the top side of the loading-unloading mechanism. The high-precision load measuring instrument is at least three times larger than an accuracy of the weighing machine.

Abstract: A method for calibrating large fixed electronic scale is provided. The method applies an auxiliary verification device to calibrate the large fixed electronic scale without using a weight and includes following steps of: loading and unloading every supporting point on the scale table board of the scale by at least one self-locating loading and unloading mechanism; measuring and displaying a load that each loading and unloading mechanisms applies to the scale table board by at least one high accuracy load gauge; controlling a size of the load that each loading and unloading mechanisms applies to the scale table board by a constant load control device; and comparing a precise load displayed by the high accuracy load gauge with a gauge weighing display value of the scale to obtain a calibration error of the scale. The present method greatly improves working efficiency and safety and reduces costs.

Abstract: A verification system for a large-scale weighing machine comprises at least four tension frameworks penetrating through a weighing platform hole preset on a weighing platform surface of the weighing machine, for connecting to a weighing platform foundation and being disposed perpendicular to the weighing platform surface, at least four self-location loading-unloading load measuring devices disposed corresponding to the tension frameworks, and a constant-load control device connected with the loading-unloading mechanism and allows the loading-unloading mechanism to maintain constant applied load while loading. The self-location loading-unloading load measuring devices includes a self-location loading-unloading mechanism and a high-precision load measuring instrument adjacent to the top side of the loading-unloading mechanism. The high-precision load measuring instrument is at least three times larger than an accuracy of the weighing machine.

Abstract: A method for calibrating large fixed electronic scale is provided. The method applies an auxiliary verification device to calibrate the large fixed electronic scale without using a weight and includes following steps of: loading and unloading every supporting point on the scale table board of the scale by at least one self-locating loading and unloading mechanism; measuring and displaying a load that each loading and unloading mechanisms applies to the scale table board by at least one high accuracy load gauge; controlling a size of the load that each loading and unloading mechanisms applies to the scale table board by a constant load control device; and comparing a precise load displayed by the high accuracy load gauge with a gauge weighing display value of the scale to obtain a calibration error of the scale. The present method greatly improves working efficiency and safety and reduces costs.