Abstract: An assembly includes a window useful for optical access to an interior of an extreme ultraviolet (EUV) light source vessel, the window having a transmission band and a protector configured to shield the window from the interior of the EUV light source vessel, the protector comprising a sheet with a surface facing the window across a gap, the sheet having a thermal conductivity in the range of 10 to 2000 W/(m·K). The sheet can be a sapphire sheet, and can have an optical coating on the surface facing the window, the coating reflecting at least some radiation outside the transmission band, and the opposite side of the sheet can be bare sapphire.

Abstract: Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may generate content for presentation to a user via a user interface of a display device. The content may include user interface elements for inputting one or more triggering conditions associated with a vehicle function of a vehicle and one or more settings of the vehicle function. The computing system may receive, via the user interface, data indicative of user input specifying the triggering conditions and data indicative of user input specifying the settings of the vehicle function. The computing system may determine an automated vehicle action that defines a relationship between the triggering conditions and the settings of the vehicle function. The computing system may output command instructions for the vehicle to implement the automated vehicle action for automatically controlling the vehicle function based on whether the vehicle detects the triggering conditions.

Abstract: Disclosed are antagonists of PC3-secreted microprotein (PSMP) and use of the antagonists for treatment of liver, lung, or kidney fibrosis, including various diseases or disorders associated with liver, lung, or kidney fibrosis such as, e.g., non-alcoholic fatty liver disease (NAFLD), alcoholic liver disease (ALD), primary sclerosing cholangitis (PSC), primary biliary cholangitis (PBC), drug-induced lung injury, acute kidney injury (AKI), chronic kidney disease (CKD), lupus nephritis, IgA nephropathy, and membranous glomerulonephritis. Also disclosed are PSMP antagonists and their use for treatment of graft-versus-host disease (GVHD) and systemic lupus erythematosus (SLE). Suitable PSMP antagonists for use in disease treatment include PSMP-binding proteins such as, for example, neutralizing anti-PSMP antibodies.

Abstract: Facilitating communication between computing platforms, including establishing, via a game agnostic communication service (GACS), communication with a first and a second computing platform; receiving i) first game state data associated with a first video game application executing at the first computing platform and ii) second game state data associated with a second video game application executing at the second computing platform; receiving a request to display at the first computing platform a first communication interface of the GACS; generating content for the first communication interface based at least in part on the first or the second game state data; causing to display the generated content via the first communication interface; receiving selection of one of the communication messages to transmit to the second computing platform; transmitting the selected communication message to the second computing platform for display via a second communication interface of the GACS at the second computing platfo

Abstract: Provided is a method including obtaining a set of ontologies mapping n-grams onto concepts to which the n-grams refer in different respective domains of knowledge. The method includes receiving an update associating a first n-gram with a first concept and receiving information by which the update is associated with a given domain of knowledge. The method includes selecting a subset of ontologies by determining that the update in the given domain of knowledge is applicable to respective domains of knowledge of the subset of ontologies and that the first concept has a specified type of relationship to a subset of concepts to which other n-grams are mapped in the subset of ontologies. The method also includes storing, in response to the determination, associations between the first n-gram and the subset of concepts in at least some of the subset of ontologies in memory of the computer system.

Abstract: Methods, computing systems, and technology for automated vehicle action generation are presented. For example, a computing system may generate content for presentation to a user via a user interface of a display device. The content may include user interface elements for inputting one or more triggering conditions associated with a vehicle function of a vehicle and one or more settings of the vehicle function. The computing system may receive, via the user interface, data indicative of user input specifying the triggering conditions and data indicative of user input specifying the settings of the vehicle function. The computing system may determine an automated vehicle action that defines a relationship between the triggering conditions and the settings of the vehicle function. The computing system may output command instructions for the vehicle to implement the automated vehicle action for automatically controlling the vehicle function based on whether the vehicle detects the triggering conditions.

Abstract: System and method for displaying a user interface of an evaluation system configured to evaluate predicted answers generated by a machine learning system. For example, the method includes receiving textual data and a predicted answer to a question associated with a text object. The text object includes a structured data field of the textual data. The predicted answer includes a confidence level. The confidence level is determined by a machine learning system. In response to determining the confidence level being larger than or equal to a predetermined confidence threshold, the predicted answer and a reference is stored in a storage for retrieval and display. The reference indicates a location of the text object in the textual data. In response to determining the confidence level being smaller than the predetermined confidence threshold, the question and the text object associated with the question is displayed.

Abstract: Provided is a method including obtaining a set of ontologies mapping n-grams onto concepts to which the n-grams refer in different respective domains of knowledge. The method includes receiving an update associating a first n-gram with a first concept and receiving information by which the update is associated with a given domain of knowledge. The method includes selecting a subset of ontologies by determining that the update in the given domain of knowledge is applicable to respective domains of knowledge of the subset of ontologies and that the first concept has a specified type of relationship to a subset of concepts to which other n-grams are mapped in the subset of ontologies. The method also includes storing, in response to the determination, associations between the first n-gram and the subset of concepts in at least some of the subset of ontologies in memory of the computer system.

Abstract: Provided is a method including obtaining a set of ontologies mapping n-grams onto concepts to which the n-grams refer in different respective domains of knowledge. The method includes receiving an update associating a first n-gram with a first concept and receiving information by which the update is associated with a given domain of knowledge. The method includes selecting a subset of ontologies by determining that the update in the given domain of knowledge is applicable to respective domains of knowledge of the subset of ontologies and that the first concept has a specified type of relationship to a subset of concepts to which other n-grams are mapped in the subset of ontologies. The method also includes storing, in response to the determination, associations between the first n-gram and the subset of concepts in at least some of the subset of ontologies in memory of the computer system.

Abstract: In one embodiment, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.

Abstract: System and method for displaying a user interface of an evaluation system configured to evaluate predicted answers generated by a machine learning system. For example, the method includes receiving textual data and a predicted answer to a question associated with a text object. The text object includes a structured data field of the textual data. The predicted answer includes a confidence level. The confidence level is determined by a machine learning system. In response to determining the confidence level being larger than or equal to a predetermined confidence threshold, the predicted answer and a reference is stored in a storage for retrieval and display. The reference indicates a location of the text object in the textual data. In response to determining the confidence level being smaller than the predetermined confidence threshold, the question and the text object associated with the question is displayed.

Abstract: In one embodiment, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.

Abstract: Systems and methods include receiving textual data and a predicted answer to a question associated with a text object. The text object includes a structured data field of the textual data. The predicted answer includes a confidence level. The confidence level is determined by a machine learning system based at least in part on one or more models of the machine learning system and the textual data. In response to determining the confidence level being larger than or equal to a predetermined confidence threshold, the predicted answer and a reference is stored in a storage for retrieval and display. The reference indicates a location of the text object in the textual data. In response to determining the confidence level being smaller than the predetermined confidence threshold, the question and the text object associated with the question is displayed, at the user interface, to a user for inputting a true answer.

Abstract: System and method for adaptive training of a machine learning system processing textual data. For example, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.

Abstract: Disclosed are antagonists of PC3-secreted microprotein (PSMP) and use of the antagonists for treatment of liver, lung, or kidney fibrosis, including various diseases or disorders associated with liver, lung, or kidney fibrosis such as, e.g., non-alcoholic fatty liver disease (NAFLD), alcoholic liver disease (ALD), primary sclerosing cholangitis (PSC), primary biliary cholangitis (PBC), drug-induced lung injury, acute kidney injury (AKI), chronic kidney disease (CKD), lupus nephritis, IgA nephropathy, and membranous glomerulonephritis. Also disclosed are PSMP antagonists and their use for treatment of graft-versus-host disease (GVHD) and systemic lupus erythematosus (SLE). Suitable PSMP antagonists for use in disease treatment include PSMP-binding proteins such as, for example, neutralizing anti-PSMP antibodies.

Abstract: Systems and methods for generating logical documents for a document evaluation system are provided. For example, a method for generating logical documents for a document evaluation system includes receiving a first child document associated with a master document. The master document includes one or more master terms. The first child document includes one or more first child terms and a first date. The method further includes generating a logical document based at least in part on the master document. The logical document includes one or more current document values. Each current document value corresponds to one master term and is associated with a current date and a current reference. The current reference identifies a region in the master document related to the one master term. The method further includes selecting a first child term from the one or more first child terms.

Abstract: Provided is a method including obtaining a set of ontologies mapping n-grams onto concepts to which the n-grams refer in different respective domains of knowledge. The method includes receiving an update associating a first n-gram with a first concept and receiving information by which the update is associated with a given domain of knowledge. The method includes selecting a subset of ontologies by determining that the update in the given domain of knowledge is applicable to respective domains of knowledge of the subset of ontologies and that the first concept has a specified type of relationship to a subset of concepts to which other n-grams are mapped in the subset of ontologies. The method also includes storing, in response to the determination, associations between the first n-gram and the subset of concepts in at least some of the subset of ontologies in memory of the computer system.

Abstract: System and method for adaptive training of a machine learning system processing textual data. For example, a method for adaptive training of a machine learning system configured to predict answers to questions associated with textual data includes receiving predicted answers to questions associated with textual data. The predicted answers are generated based at least in part on one or more first models of a machine learning system. The one or more first models are associated with a first accuracy score. The method further includes determining based at least in part on a quality control parameter whether an evaluation of the questions by one or more external entities is required. In response to determining based at least in part on the quality control parameter that an evaluation of the questions by one or more external entities is required, the questions associated with the textual data and the textual data are sent to the one or more external entities for evaluation.

Abstract: System and method for dynamically displaying a user interface of an evaluation system configured to evaluate predicted answers generated by a machine learning system. For example, the method includes receiving textual data and a predicted answer to a question associated with a text object. The text object includes a structured data field of the textual data. The predicted answer includes a confidence level. The confidence level is determined by a machine learning system based at least in part on one or more models of the machine learning system and the textual data. In response to determining the confidence level being larger than or equal to a predetermined confidence threshold, the predicted answer and a reference is stored in a storage for retrieval and display. The reference indicates a location of the text object in the textual data.

Abstract: Systems and methods for generating logical documents for a document evaluation system are provided. For example, a method for generating logical documents for a document evaluation system includes receiving a first child document associated with a master document. The master document includes one or more master terms. The first child document includes one or more first child terms and a first date. The method further includes generating a logical document based at least in part on the master document. The logical document includes one or more current document values. Each current document value corresponds to one master term and is associated with a current date and a current reference. The current reference identifies a region in the master document related to the one master term. The method further includes selecting a first child term from the one or more first child terms.