Abstract: Systems and methods are disclosed for generating fluence maps for a radiotherapy treatment plan that uses machine learning prediction. The systems and methods include identifying image data that indicates treatment constraints for target dose areas and organs at risk areas in an anatomy of the subject, generating anatomy projection images that represent a view of the subject from respective beam angles, using a trained neural network model to generate the computer-simulated fluence map representations based on the anatomy projection images, where the fluence maps indicate a fluence distribution of the radiotherapy treatment at each of the beam angles.

Abstract: Methods and systems that evaluate currently operating online personas is automated to establish the relationships between nodes and assign attributes. A virtual network exploitation (ViNE) protocol can create a prioritized list of every account in the extended network based on its influence score, as well as filtering, to create a subset of the influencer list of accounts that meet attribute criteria. Analysis of this data can identify the key accounts for the influencer and lead lists and provide recommendations on the path and strategy the client should use to most effectively engage the accounts of interest. Automated seed list generation for SNA can be operationalized to identify all of the existing leads within an extended social network in priority order and provide an influence score for each account. The system can be scaled to combine individual accounts that focus on a specific organization, personality or region.

Abstract: Techniques for refactoring data in a database are disclosed. A database may initially store both relational and non-relational data. A request to access data from a first data element in the database may be received via a relational database API. Upon receiving the request, a determination is made as to whether the first data element has been refactored into relational and non-relational portions. If the first data element has not been refactored, a refactoring operation is carried out by storing relational portions of the first data element into a relational database and the non-relational portions of the first data element into a non-relational database. The refactoring is performed concurrent with providing data to a requesting computing system. Additionally, refactoring information is updated to indicate that the first data element has been refactored.

Abstract: Methods and systems of determining competition for search queries on a video hosting system on a computer network are provided. Search records associated with search queries directed to the video hosting system are received. Each search record identifies videos available on the video hosting system that are search results for a corresponding search query and indicates associated view durations that the videos were viewed responsive to the search query. Search queries directed to a first and second videos and associated view durations that the first video was watched in response to the queries are identified from the received search records. A competition score indicating an amount of competition between the first and second videos for views of users of the video hosting system is calculated based on the identified search queries and associated view durations.

Abstract: Methods, systems, and computer program products for partitioning and parallel loading of property graphs with constraints are provided herein. A computer-implemented method includes obtaining graph-related input data and corresponding constraint data, wherein the graph-related input data and corresponding constraint data are at least one of user-defined and input data model-based; generating at least one in-memory graph based at least in part on processing at least a portion of the obtained graph-related input data; partitioning the at least one in-memory graph into two or more sub-graphs by processing the at least one in-memory graph using one or more polynomial time partition algorithms; and generating at least one property graph by allocating, at least a portion of the two or more partitioned sub-graphs which satisfy the obtained constraint data, to two or more threads that run in parallel.

Abstract: A wearable device for a noninvasive measurement of a user's body temperature can include a housing, a first substrate coupled to the housing and having an opening, a second substrate coupled to the first substrate and configured to secure to skin of a user, a mounting frame enclosed by the housing and the first substrate, a circuit board secured by the mounting frame, a temperature sensor coupled to the circuit board and configured to determine a body temperature of the user, and a thermally conductive probe. The thermally conductive probe is secured by the mounting frame and positioned proximate to the first temperature sensor. The thermally conductive probe extends at least partially through the opening in the first substrate and transmits a thermal energy from a portion of the user's skin to the first temperature sensor.

Abstract: Presented herein are techniques for a non-intruding auto quoting feature on-the-fly for chat applications based on previous conversations and effectively forking/quoting such conversations to ease the burden of the user going through all the chat history. The techniques may involve monitoring an ongoing first text communication session between a first user and at least one second user; detecting one or more salient words or phrases in the first text communication session based on the monitoring; based on the one or more salient words or phrases, identifying a second text communication session that is topically related to the first text communication session; and displaying in a user interface presented to the first user a prompt to quote relevant content from the second text communication session into the first text communication session or to fork the first user to be a participant in the second text communication session.

Abstract: An interactive search session is implemented using an artificial intelligence model. For example, when the artificial intelligence model receives a search query from a user, the model selects an action from a plurality of actions based on the search query. The selected action queries the user for more contextual cues about the search query (e.g., may enquire about use of the search results, may request to refine the search query, or otherwise engage the user in conversation to better understand the intent of the search). The interactive search session may be in the form, for example, of a chat session between the user and the system, and the chat session may be displayed along with the search results (e.g., in a separate section of display). The interactive search session may enable the system to better understand the user's search needs, and accordingly may help provide more focused search results.

Abstract: System extracts backup metadata, comprising system committed change numbers, system change numbers, types, and database version identifiers, for backup copies. System generates data structure, comprising start system change numbers, based on minimums of system committed change numbers, end system change numbers, based on maximums of system change numbers, database version identifiers, and identifiers for archive log backup copies. System identifies dependent system change numbers, based on start system change number to end system change number for backup copy corresponding to database version identifier. System identifies, in data structure, backed-up system change numbers, based on start system change numbers to end system change numbers for archive log backup copies corresponding to database version identifier, which are included in dependent system change numbers.

Abstract: Systems as described herein may determine a plurality of content items posted to a mesh network and each content item may be associated with a signature stored in a blockchain. A search engine may query each content item based on the corresponding signature in the blockchain. The search engine may parse each content item to obtain a label and store the label, the signature and content associated with each content item in a database. The search engine may query the blockchain to obtain a frequency that each content item has been queried in a predetermined period of time. The search engine may rank the content items based on the frequencies, and determine a subset of the content items as frequently searched content. Accordingly, the search engine may distribute the frequently searched content to a plurality of cached nodes in the mesh network.

Abstract: In some implementations, a system may receive interaction data based on an interaction of a user with a terminal, wherein the interaction data indicates a location of the terminal. The system may determine a plurality of entities having a corresponding plurality of locations that are within a geographic area that includes the location of the terminal. The system may determine, based on the plurality of entities, one or more categories for categorizing a purpose associated with the interaction of the user with the terminal. The system may transmit, to a user device of the user, information that identifies the one or more categories. The system may receive, from the user device, information that identifies one or more user-specified categories of the one or more categories. The system may store, in the database, a record that includes the information that identifies the one or more user-specified categories.

Abstract: A pressure-sensing device includes a device frame, a flexible membrane, a pressure sensor, and device electronics. The device frame includes a base surface that rests on a supporting structure and a frame attachment region located opposite to the base surface such that the frame attachment region is raised from the supporting structure when the base surface is resting on the supporting structure. The device frame also includes a seating surface. The flexible membrane is attached to the frame attachment region such that the device frame and the flexible membrane enclose a pressure chamber. The seating surface extends outward around the flexible membrane and the flexible membrane protrudes above the seating surface. The pressure sensor is configured to generate a pressure signal. The device electronics are configured to determine the pressure in the pressure chamber based on the pressure signal.

Abstract: The present disclosure relates to a method for a weighting graph comprising nodes representing entities and edges representing relationships between entities in accordance with one or more domains. The method comprises: pre-processing the graph comprising assigning weights to the nodes and/or the edges of the graph in accordance with a specific domain of the domains, wherein the weight indicates a domain specific data quality problem of attribute values representing an edge of the edges and/or an entity involved in that edge. The weighted graph may be provided for enabling a processing of the graph in accordance with the specific domain.

Abstract: An example operation may include one or more of receiving a request for trust information of an off-chain data source from a client, detecting that the trust information of the off-chain data source is not stored in a distributed ledger shared among a plurality of peer nodes, retrieving reliability data recursively identified and retrieved from a plurality of external sources having different reliability information of the off-chain data source, determining a reliability value based on a combination of the retrieved reliability data from the plurality of external sources, and transmitting the determined reliability value to the client.

Abstract: Implementations of the present disclosure include actions of receiving a search query, identifying potential search results responsive to the search query, the potential search results corresponding to digital content stored in one or more computer-readable storage media, determining that the potential search results include user-generated content that is generated using one or more computer-implemented social services, receiving data associated with the user-generated content, the data including one or more scores, determining, based on the one or more scores, that the user-generated content is to be provided as a search result, generating search results, the search results including web-based search results and at least a portion of the user-generated content, and transmitting the search results to a client computing device for display to the searching user.

Abstract: Systems and methods are provided that use a trained process to reply to a request comprising query data defining a query and context data defining contextual factors for the query from a device. The query is answered by one or more selected APIs of a plurality of APIs that invoke respective services to prepare a response. The trained process determines an execution plan responsive to the query data and the context data and is configured using training to define execution plans comprising selected APIs where a particular API is selected for the plan if it answers at least a portion of the query and the selected APIs together prepare the response optimized for the device according to the context data. The plan is provided to an execution component to execute the plan using the selected APIs and send the response to the requesting device.

Abstract: An optimized fact checking system analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The optimized fact checking system automatically monitors information, processes the information, fact checks the information in an optimized manner and/or provides a status of the information. In some embodiments, the optimized fact checking system generates, aggregates, and/or summarizes content.

Abstract: Systems and methods for a cloud state engine are provided. According to one embodiment, a query pertaining to state information associated with a packet to be processed by a first packet processing device of multiple packet processing devices associated with a distributed security environment is received by a centralized state engine running on a computing device associated with the distributed security environment. The state information associated with the packet influences how the packet is to be processed by the first packet processing device. Responsive to the query, the state information is identified by the centralized state engine by processing the received query with reference to a state database containing state information for multiple packets. The identified state information is provided to the first packet processing device by generating a response to the query containing the identified state information.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system identifies buckets that are to be searched and search nodes to execute the query. The data intake and query system maps the identified buckets to the search nodes and executes the query using the identified bucket and search nodes.

Abstract: Disclosed herein are enterprise applications and platforms that manage databases containing documents and may employ search systems that allow users to retrieve documents based on queries. The search systems may be configured to retrieve data from several different data sources and may be associated with many of the applications. Furthermore, the search systems may include a faceted interface based on database or document attributes for further search refinement. The faceted interface may be template-based and modular, allowing reconfiguration of the interfaces without substantial rewriting of the application code base.