Abstract: A distributed database maintains a table on a first plurality of partitions. A request to restore the table to a point-in-time is received. The database determines, based on log data of the partitions, a maximum version number of an operation processed by the partitions. The log data is processed to exclude, from the restoration, operations whose transactions were started after the point-in-time, by setting the version number of those operations to be greater than the maximum version number. The log data is then applied to a second plurality of partitions, where the version number of each applied operation is less than or equal to the determined maximum version number.

Abstract: Some embodiments provide a method for identifying competitors of a particular company. The method identifies a set of potential competitors of a particular company. For each potential competitors, the method calculates a score quantifying the competitive relationship of the potential competitor to the particular company. When the calculated score is above a particular threshold, the method associates the potential competitor as a competitor of the particular company.

Abstract: Embodiments of the invention are directed to systems and methods that enable authentication of a user via an authentication application that is different than a wallet application that is being used to process a transaction. The wallet application may contain payment devices and/additional wallet applications.

Abstract: Examples described herein include systems and methods for test automation of a graphical user interface (GUI) using a screen element structure. The test automation can utilize a test script that identifies screen elements and corresponding actions to perform. The test script can identify screen elements with physical identifiers. The test automation can request the screen element structure from a server and retrieve one or more logical identifiers that correspond to the physical identifier. This can allow the test automation to use the logical identifier that is suitable for the particular GUI screen being tested and the automation platform itself. The test script can remain the same even when logical identifiers evolve since the screen element structure can be updated to include new logical identifiers.

Abstract: A method of oxidizing a component of an aqueous medium is provided. The method includes adding an effective amount of an oxidizing composition to the aqueous medium. The oxidizing composition includes an ingredient, such as hydrogen peroxide, a percarbonate salt, a peroxy compound, a chlorite or alkali metal salt thereof, a chlorate or alkali metal salt thereof, or any combination thereof. The method also includes oxidizing the component. The component may be a metal, a mineral, a microbial metabolite, an organic molecule, or combination thereof. The method also includes modulating the application of the oxidizing composition based on a measured aqueous medium parameter.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing deep learning to intelligently determine compression settings for compressing a digital image. For instance, the disclosed system utilizes a neural network to generate predicted perceptual quality values for compression settings on a compression quality scale. The disclosed system fits the predicted compression distortions to a perceptual distortion characteristic curve for interpolating predicted perceptual quality values across the compression settings on the compression quality scale. Additionally, the disclosed system then performs a search over the predicted perceptual quality values for the compression settings along the compression quality scale to select a compression setting based on a perceptual quality threshold. The disclosed system generates a compressed digital image according to compression parameters for the selected compression setting.

Abstract: Techniques described herein relate to representative monitoring in a contact center environment. Data associated with a customer interaction, including content of the interaction and video of a representative display during processing associated with the interaction, are presented to an administrator in real time or near real time for monitoring during an interaction. In some examples, a contact center server may receive an event notification when a live contact begins, and may generate data files associated with the live contact to allow the administrator to monitor the contact. In some instances, the contact center server may continue to generate data after conclusion of the live contact, to allow the administrator to monitor and guide post-contact processing performed by the representative. The contact center server also may allow administrators to select live contacts for monitoring and/or receive alerts when pre-selected representatives commence live contacts that can be monitored.

Abstract: A method performed by a computing system comprises accessing group subscription data that is associated with a user and identifies a plurality of different groups, each group being hosted by a corresponding client system. The group subscription data indicates that the user is subscribed to receive resource updates from the plurality of different groups. An aggregated set of resource updates is generated by aggregating resource updates associated with resources in the plurality of different groups. An integrated view renders the aggregated set of resource updates and includes an action user input mechanism representing a computing action to be performed in a corresponding one of the groups associated with at least one resource update. Based on user actuation of the action user input mechanism, a machine instruction instructs the client system, that hosts the corresponding group, to perform the computing action.

Abstract: Offline building of a projected data subset may be performed. A request to create a data set that is a projected subset of data from a source data set may be received. A data store separate from the data store storing the source data set may store a copy of the source data set that is used to replicate items to the projected subset of data according to a schema for the projected data subset. Updates made to the source data set may also be replicated to the projected data subset according to the schema. Conflicts between replicated items and replicated updates to the projected data set may be resolved by comparing a version identifier for the replicated update and replicated item to determine what to store in the projected data subset.

Abstract: The present disclosure relates to solid state forms of Acalabrutinib, processes for the preparation thereof and pharmaceutical compositions comprising said solid state forms of Acalabrutinib.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing deep learning to intelligently determine compression settings for compressing a digital image. For instance, the disclosed system utilizes a neural network to generate predicted perceptual quality values for compression settings on a compression quality scale. The disclosed system fits the predicted compression distortions to a perceptual distortion characteristic curve for interpolating predicted perceptual quality values across the compression settings on the compression quality scale. Additionally, the disclosed system then performs a search over the predicted perceptual quality values for the compression settings along the compression quality scale to select a compression setting based on a perceptual quality threshold. The disclosed system generates a compressed digital image according to compression parameters for the selected compression setting.

Abstract: Embodiments of the invention are directed to systems and methods that enable authentication of a user via an authentication application that is different than a wallet application that is being used to process a transaction. The wallet application may contain payment devices and/additional wallet applications.

Abstract: Examples described herein include systems and methods for test automation of a graphical user interface (GUI) using a screen element structure. The test automation can utilize a test script that identifies screen elements and corresponding actions to perform. The test script can identify screen elements with physical identifiers. The test automation can request the screen element structure from a server and retrieve one or more logical identifiers that correspond to the physical identifier. This can allow the test automation to use the logical identifier that is suitable for the particular GUI screen being tested and the automation platform itself. The test script can remain the same even when logical identifiers evolve since the screen element structure can be updated to include new logical identifiers.

Abstract: A method is used to manufacture an anvil of a surgical circular stapler. The anvil includes a head and a shank extending proximally from the head. The method includes forming the head of a surgical circular stapler using a metal injection molding process. The method also includes forming an annular array of staple forming pockets in the head. The method also includes machining the shank of the surgical circular stapler. The method also includes coupling together the head and the shank of the surgical circular stapler that were separately manufactured.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing deep learning to intelligently determine compression settings for compressing a digital image. For instance, the disclosed system utilizes a neural network to generate predicted perceptual quality values for compression settings on a compression quality scale. The disclosed system fits the predicted compression distortions to a perceptual distortion characteristic curve for interpolating predicted perceptual quality values across the compression settings on the compression quality scale. Additionally, the disclosed system then performs a search over the predicted perceptual quality values for the compression settings along the compression quality scale to select a compression setting based on a perceptual quality threshold. The disclosed system generates a compressed digital image according to compression parameters for the selected compression setting.

Abstract: A system to store specimen containers in a temperature controlled environment includes at least a first temperature sensor positioned to sense a temperature in a first region of the temperature controlled environment in an interior of the cryogenic storage tank and at least a first level sensor positioned to sense a level of a cryogenic medium within the temperature controlled environment in the interior of the cryogenic storage tank. A method of storing specimen containers in a temperature controlled environment includes monitoring one or more parameters within the temperature controlled environment to prevent exposure of biological samples within the specimen containers to parameters that put the viability of the biological samples at risk.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing intelligent sectioning and selective document reflow for section-based printing. For example, the disclosed systems can intelligently identify document objects (e.g., document structures and sections) within a digital document by utilizing a machine-learning model. In so doing, the disclosed systems can identify document-object types and document-object locations for the document objects in the digital document. In turn, the disclosed systems can provide, for display within a dynamic printing interface, selectable document sections comprising the identified document objects. In response to a user selection of one or more of the selectable document sections, the disclosed system can generate a modified digital document for printing by reflowing the identified document objects in accordance with the user selection.

Abstract: A notification of a problem associated with an application may be received. A difference may be determined between a problem version of the application and an operational version of the application to identify a change associated with the problem. A person associated with the change may be determined. A task of resolving the problem may be assigned to the person associated with the change. A person may be notified of the problem and of the assigning of the task based on the identified change. A modification may be performed to resolve the problem associated with the change based on the determining of the difference.

Abstract: Various techniques described herein relate to building and using representative data systems to store and manage representative profile data within contact centers. A representative data system integrates with external communication services and other internal/external systems to provide a uniform data store and interface to create and manage representative profiles. The representative data system retrieves and analyzes representative profile data during runtime contact center operations such as contact queuing, contact management, and/or workforce management. The representative data system may be implemented using relational or graph-based data structures to support advanced predictive modeling and impact analysis of scenarios such as service outages, dynamic workload shifting, infrastructure changes, and workforce changes.