Abstract: A molecular marker for diagnosing primary biliary cholangitis and a method for detecting same are provided. The anti-human multimer immunoglobulin receptor antibody is adopted as the primary biliary cholangitis diagnosis molecular marker so as to prepare the diagnosis reagent; the human multimer immunoglobulin receptor antibody is remarkably increased in serum of PBC AMA-M2 subtype positive and negative patients, which indicates that in the attack of PBC, the serum anti-human multimer immunoglobulin receptor antibody specifically targets human multimer immunoglobulin receptors on small and medium bile ducts in the liver, thereby causing damage to the small and medium bile ducts.

Abstract: Provided are a GLP-1 receptor agonist compound and a composition and use thereof. The compound can be used for treating or preventing GLP-1 receptor-mediated diseases or disorders and related diseases or disorders.

Abstract: A dual-mode combined control method for a multi-inverter system based on a double split transformer is provided. For an extremely-weak grid, the method provides the dual-mode combined control method for a multi-inverter system based on a double split transformer. According to the method, the equivalent grid impedance at a point of common coupling (PCC) of one grid-connected inverter (GCI) in the multi-inverter system based on the double split transformer is obtained with a grid impedance identification algorithm, and the system sequentially operates in a full current source mode, a hybrid mode, and a full voltage source mode according to a gradually increasing equivalent grid impedance, thereby effectively improving the stability of the multi-inverter system based on the double split transformer during variation of the strength of the grid. The method ensures that the system can still operate stably in the extremely-weak grid.

Abstract: A stability control method for a virtual synchronous generator (VSG) in a strong grid based on an inductance-current differential feedback is provided. A grid-connected topological structure of a VSG using the control method includes a direct-current (DC)-side voltage source, a three-phase inverter, a three-phase grid impedance and a three-phase grid. By controlling the VSG and controlling the inductance-current differential feedback, the method suppresses the oscillation of the output power from the VSG in the strong grid and implements the stable operation of an inner-loop-free VSG in the strong grid, without adding the physical inductance, increasing the cost of the filter and additionally providing a grid-side current sensor.

Abstract: The invention discloses a high impermeability and low thermal conductivity inorganic lightweight foam concrete and its preparation method, including the following mass fraction of raw materials: 1260˜1540 parts of ordinary silicate cement, 20˜60 parts of nano-silica, 460˜740 parts of fly ash, 360˜440 parts of aggregate, 9˜11 parts of redispersible latex powder, 7.2˜8.8 parts of polypropylene fiber, 27˜33 parts of quick-setting agent, 500 parts of fluorine-free foam, 900˜1100 parts of water. 33 parts, 500 parts of fluorine-free foam, 900˜1100 parts of water. The high impermeability and low thermal conductivity inorganic lightweight foam concrete prepared by the present invention has a simple formulation, good workability, light weight and low thermal conductivity, and is suitable for the construction of thermal insulation system for building exterior walls.

Abstract: Provided are a GLP-1 receptor agonist compound and a composition and use thereof. The compound can be used for treating or preventing GLP-1 receptor-mediated diseases or disorders and related diseases or disorders.

Abstract: A method, computer system, and a computer program product for data labeling is provided. The present invention may include receiving a plurality of labeled data points. The present invention may include identifying one or more of the plurality of labeled data points with conflicting labels. The present invention may include determining that at least one of the one or more identified labeled data points exceeds one or more conflict thresholds. The present invention may include presenting the at least one or more identified labeled data points exceeding one or more conflict thresholds to a user. The present invention may include receiving a conflict resolution from the user for the one or more identified labeled data points exceeding the one or more conflict thresholds.

Abstract: A method, computer program, and computer system are provided for explaining generation of a flow from natural language utterances. Data corresponding to a natural language utterance is received. One or more constraints corresponding to a flow to be generated are determined based on the received natural language utterance. A flow is constructed based on the determined constraints. An explanation associated with the constructed flow is provided, and the explanation identifies parameters corresponding to constructing the flow.

Abstract: A method, a computer program product, and a computer system generate an accurate mental model of an automated agent. The method includes receiving an input from a user device associated with a user during a communication session between the user and the automated agent. The method includes determining a response to the input. The method includes determining a confidence score of the response relative to a confidence threshold. The method includes determining an assertiveness feature associated with the response, the assertiveness feature comprising an expression of the automated agent based on the confidence score. The method includes transmitting the response and the assertiveness feature to the user device, the expression configured to update anthropomorphic characteristics of a graphical representation of the automated agent shown on a graphical user interface of the communication session displayed on a display device of the user device.

Abstract: Embodiments are provided that related to a computer system, a computer program product, and a computer-implemented method for dynamically managing knowledge graphs and their corresponding datasets. Embodiments include identifying a neologism from a virtual environment, and leveraging a virtual environment exploration to resolve a meaning of the identified neologism. The resolved meaning of the neologism is applied to a dynamic expansion of a dataset and a corresponding knowledge graph.

Abstract: A method comprises receiving a new data set; identifying at least one prior data set of a plurality of prior data sets that matches the new data set; generating a natural language data science problem statement for the new data set based on information associated with the at least prior one data set that matches the new data set; outputting the generated natural language data science problem statement for user verification; and in response to receiving user input verifying the natural language generated data science problem statement, generating one or more AutoAI configuration settings for the new data set based on one or more AutoAI configuration settings associated with the at least one prior data set that matches the new data set.

Abstract: A method, a computer program product, and a computer system generate an accurate mental model of an automated agent. The method includes receiving an input from a user device associated with a user during a communication session between the user and the automated agent. The method includes determining a response to the input. The method includes determining a confidence score of the response relative to a confidence threshold. The method includes determining an assertiveness feature associated with the response, the assertiveness feature comprising an expression of the automated agent based on the confidence score. The method includes transmitting the response and the assertiveness feature to the user device, the expression configured to update anthropomorphic characteristics of a graphical representation of the automated agent shown on a graphical user interface of the communication session displayed on a display device of the user device.

Abstract: A portable power supply device for an electric tool comprises: a power supply receiving portion, provided in or on a housing and used to receive a power supply supplying power to the electric tool, and a control unit, comprising a controller that is provided in the housing and is used to control the electric energy supplied to the electric tool. The power supply receiving portion comprises a power supply compartment, which is at least partially defined by a cover which can move relative to the housing between an opened position and a closed position. The power supply device further comprises a positioning accessory detachably and replaceably attached to the housing and/or the power supply receiving portion.

Abstract: Embodiments relate to a system, program product, and method for leveraging cognitive systems to facilitate the automated data table discovery for automated machine learning, and, more specifically, to leveraging a trained cognitive system to automatically search for additional data in an external data source that may be merged with an initial user-selected data table to generate a more robust machine learning model. Manual efforts to find and validate data appropriate for building and training a particular model for a particular task are significantly reduced. Specifically, a learning-based approach to leverage with machine learning models to automatically discover related datasets and join the datasets for a given initial dataset is disclosed herein. Operations that include dataset selection facilitate continued reinforcement learning of the systems.

Abstract: A method comprises receiving a new data set; identifying at least one prior data set of a plurality of prior data sets that matches the new data set; generating a natural language data science problem statement for the new data set based on information associated with the at least prior one data set that matches the new data set; outputting the generated natural language data science problem statement for user verification; and in response to receiving user input verifying the natural language generated data science problem statement, generating one or more AutoAI configuration settings for the new data set based on one or more AutoAI configuration settings associated with the at least one prior data set that matches the new data set.

Abstract: Embodiments relate to a system, program product, and method for leveraging cognitive systems to facilitate the automated data table discovery for automated machine learning, and, more specifically, to leveraging a trained cognitive system to automatically search for additional data in an external data source that may be merged with an initial user-selected data table to generate a more robust machine learning model. Manual efforts to find and validate data appropriate for building and training a particular model for a particular task are significantly reduced. Specifically, a learning-based approach to leverage with machine learning models to automatically discover related datasets and join the datasets for a given initial dataset is disclosed herein. Operations that include dataset selection facilitate continued reinforcement learning of the systems.