Abstract: The present application relates to treating and/or preventing prostate cancer, including metastatic and/or castrate-resistant prostate cancer, in a subject in need of treatment having particular somatic AR tumor biomarker status, comprising administering a compound of Formula (I), or a pharmaceutically acceptable salt, enantiomer, stereoisomer, solvate, polymorph, isotopic derivative, or prodrug thereof, wherein R1, R2, R3, X1, X2, X3, X4, and n are defined herein.

Abstract: In non-limiting examples of the present disclosure, systems, methods, and devices for enabling conversational bot communications are presented. A marketplace comprising an identity of a plurality of skills may be maintained, each of the plurality of skills associated with a manifest and a conversational bot. A request for execution of a specific skill may be received. A plurality of conversational bots may be identified, each of the plurality of conversational bots being associated with a manifest for executing the specific skill. The plurality of conversational bots may be ranked. The specific skill may be caused to be executed by the highest ranked conversational bot. In some examples, a plurality of highest ranked conversational bots may be surfaced and a bot that is selected may execute the specific skill.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for enabling conversational bot communications are presented. A marketplace comprising an identity of a plurality of skills may be maintained, each of the plurality of skills associated with a manifest and a conversational bot. A request for execution of a specific skill may be received. A plurality of conversational bots may be identified, each of the plurality of conversational bots being associated with a manifest for executing the specific skill. The plurality of conversational bots may be ranked. The specific skill may be caused to be executed by the highest ranked conversational bot. In some examples, a plurality of highest ranked conversational bots may be surfaced and a bot that is selected may execute the specific skill.

Abstract: A touch trigger probe interface for a machine tool is described that includes a probe communication portion for receiving probe event information from a touch trigger probe. A machine tool communication portion is also provided for outputting probe event information to a numerical controller of the machine tool. The machine tool communication portion outputs the probe event information as digital data packets, for example over a digital data bus. The digital data packets may include a time stamp and/or the touch trigger probe interface may receive timing information from the machine tool. A touch trigger probing system and a machine tool system including the probe interface are also described.

Abstract: The present disclosure relates to processing operations configured to generate and present a chat bot diagnostic visualization that provides real-time visual insights into operation of a chat bot for debugging assistance. A chat bot diagnostic tool is programmed to launch a graphical user interface that displays a visual representation of diagnostic data for debugging a chat bot in real-time. To enable conversational specific data to be reviewed, the present disclosure is configured to implement a middleware adapter within in a run-time stack of a chat bot that is configured to trace data traffic between a chat bot and a channel of an application/service. This enables the chat bot diagnostic tool to observe data traffic and filter the data traffic to identify relevant data for debugging a chat bot. A debugging data visualization of a chat bot interaction is emulated through a graphical user interface of the chat bot diagnostic tool.

Abstract: A natural language model can be primed utilizing optimized examples generated from a labeled knowledge graph corresponding to an independently developed application program. Parsing of the labeled knowledge graph can include the identification of triples, comprising a source node, a destination node, and a link between them, each of which can be labeled. One or more natural language input examples can be generated from an individual triple by concatenating the natural language words or phrases utilized to label the source node in the link. Determinations that subsequently received natural language user input is similar to the generated examples can result in an identification of the triple, which can, in turn, trigger the performance of a function associated with the destination node of the triple. Labels can include preferred labels and alternative labels, and various permutations thereof can be concatenated to generate alternative natural language input examples.

Abstract: A natural language model can be primed utilizing optimized examples generated from a labeled knowledge graph corresponding to an independently developed application program. Parsing of the labeled knowledge graph can include the identification of triples, comprising a source node, a destination node, and a link between them, each of which can be labeled. One or more natural language input examples can be generated from an individual triple by concatenating the natural language words or phrases utilized to label the source node in the link. Determinations that subsequently received natural language user input is similar to the generated examples can result in an identification of the triple, which can, in turn, trigger the performance of a function associated with the destination node of the triple. Labels can include preferred labels and alternative labels, and various permutations thereof can be concatenated to generate alternative natural language input examples.

Abstract: The present application relates to treating and/or preventing breast cancer, including locally advanced or metastatic, ER+, HER2? breast cancer, in a subject in need of treatment, comprising administering a compound of Formula (I), or a pharmaceutically acceptable salt, enantiomer, stereoisomer, solvate, polymorph, isotopic derivative, or prodrug thereof, wherein R1, R2, R3, R4, m, and n are defined herein.

Abstract: The present application relates to treating and/or preventing prostate cancer, including metastatic and/or castrate-resistant prostate cancer, in a subject in need of treatment having particular somatic AR tumor biomarker status, comprising administering a compound of Formula (I), or a pharmaceutically acceptable salt, enantiomer, stereoisomer, solvate, polymorph, isotopic derivative, or prodrug thereof, wherein R1, R2, R3, X1, X2, X3, X4, and n are defined herein.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for enabling conversational bot communications are presented. A natural language input may be received by a first conversational bot. A skill needed to fulfill a request in the natural language input may be identified. A determination may be made that the skill is not executable by the first conversational bot. A determination may be made that the skill is executable by a second conversational bot. A request for execution of the skill may be sent from the first conversational bot to the second conversational bot. A request for information needed for the second conversational bot to execute the skill may be received by the first conversational bot from the second conversational bot. The information may be sent from the first conversational bot to the second conversational bot. The skill may be executed.

Abstract: A touch trigger probe interface for a machine tool is described that includes a probe communication portion for receiving probe event information from a touch trigger probe. A machine tool communication portion is also provided for outputting probe event information to a numerical controller of the machine tool. The machine tool communication portion outputs the probe event information as digital data packets, for example over a digital data bus. The digital data packets may include a time stamp and/or the touch trigger probe interface may receive timing information from the machine tool. A touch trigger probing system and a machine tool system including the probe interface are also described.

Abstract: Computational methods are used to create cardiovascular simulations having desired hemodynamic features. Cardiovascular modeling methods produce descriptions of blood flow and pressure in the heart and vascular networks. Numerical methods optimize and solve nonlinear equations to find parameter values that result in desired hemodynamic characteristics including related flow and pressure at various locations in the cardiovascular system, movements of soft tissues, and changes for different physiological states. The modeling methods employ simplified models to approximate the behavior of more complex models with the goal of to reducing computational expense. The user describes the desired features of the final cardiovascular simulation and provides minimal input, and the system automates the search for the final patient-specific cardiovascular model.

Abstract: A natural language model can be primed utilizing optimized examples generated from a labeled knowledge graph corresponding to an independently developed application program. Parsing of the labeled knowledge graph can include the identification of triples, comprising a source node, a destination node, and a link between them, each of which can be labeled. One or more natural language input examples can be generated from an individual triple by concatenating the natural language words or phrases utilized to label the source node in the link. Determinations that subsequently received natural language user input is similar to the generated examples can result in an identification of the triple, which can, in turn, trigger the performance of a function associated with the destination node of the triple. Labels can include preferred labels and alternative labels, and various permutations thereof can be concatenated to generate alternative natural language input examples.

Abstract: Systems and methods are provided for storing and retrieving data using a linked data model having a tree format. Instead of using a traditional relational database, a linked data model can be used with links between data items that reflect the underlying business logic. To facilitate retrieval of data, the data items stored using the linked data model can be individually addressable.

Abstract: A touch trigger probe interface for a machine tool is described that includes a probe communication portion for receiving probe event information from a touch trigger probe. A machine tool communication portion is also provided for outputting probe event information to a numerical controller of the machine tool. The machine tool communication portion outputs the probe event information as digital data packets, for example over a digital data bus. The digital data packets may include a time stamp and/or the touch trigger probe interface may receive timing information from the machine tool. A touch trigger probing system and a machine tool system including the probe interface are also described.

Abstract: A system and method of automating data profile updating and querying includes building bots using standard schema having predefined data types for collecting data relating to a user or object. A bot stores the collected data in a data profile for the user or object in a graph data store that is queried by that bot or another bot to extract data relating to the user or object. The data relating to the user or object may be collected from two or more data channels including, for example, a channel of spoken data and a channel of typed data. The collected data is selectively processed by a bot to establish context for the collected data and is inserted into a knowledge graph that may be joined to another knowledge graph for querying. The bots automate the collection and sharing of collected profile data with other bots in an application ecosystem.

Abstract: A natural language model can be primed utilizing optimized examples generated from a labeled knowledge graph corresponding to an independently developed application program. Parsing of the labeled knowledge graph can include the identification of triples, comprising a source node, a destination node, and a link between them, each of which can be labeled. One or more natural language input examples can be generated from an individual triple by concatenating the natural language words or phrases utilized to label the source node in the link. Determinations that subsequently received natural language user input is similar to the generated examples can result in an identification of the triple, which can, in turn, trigger the performance of a function associated with the destination node of the triple. Labels can include preferred labels and alternative labels, and various permutations thereof can be concatenated to generate alternative natural language input examples.