Abstract: A system that enables synchronized interaction between voice input and a visual user interface is described. The system receives, by a network site via a first user interaction channel, a user request to perform an action with a listing network platform. The system establishes, by the network site, a session associated with a session identifier for the user request and provides an option for the user to continue interacting with the listing network platform through a second user interaction channel. The system, in response to receiving input that selects the option, uses the session identifier associated with the session to synchronize a first set of inputs received through the first user interaction channel with a second set of inputs received through the second user interaction channel to complete the action on the listing network platform.

Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to defects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.

Abstract: A training data processing method and an electronic device are provided. The method includes: obtaining medical history data including at least one first disease suffered by a user; setting a plurality of disease types according to a target disease; setting a time interval; obtaining at least one second disease in the time interval from the medical history data; performing a pre-processing operation on the second disease according to the disease types to obtain processed data; and inputting the processed data to a neural network to train the neural network.

Abstract: Methods, systems, and computer-readable media for an e-commerce document framework with cross-source and cross-document validation are disclosed. A document framework system determines a document template associated with a request to generate a document comprising a record of one or more transactions. The document template indicates a plurality of data sources that store a plurality of data elements for the document and a plurality of validation tasks. The document framework system receives the plurality of data elements for the document from the plurality of data sources. The document framework system performs the validation tasks to determine the correctness of the data elements. The validation comprises cross-source validation and cross-document validation. The document framework system generates the document based (at least in part) on the data elements if the validation is successful.

Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to detects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.

Abstract: A training data processing method and an electronic device are provided. The method includes: obtaining medical history data including at least one first disease suffered by a user; setting a plurality of disease types according to a target disease; setting a time interval; obtaining at least one second disease in the time interval from the medical history data; performing a pre-processing operation on the second disease according to the disease types to obtain processed data; and inputting the processed data to a neural network to train the neural network.

Abstract: Embodiments of the present invention relate to a method, system and computer program product for application programming interface (API) management. According to the method, in response to a first response from an API provider indicating a failure of a first API request initiated by an API requestor, a second API request is generated at least based on the first API request. The second API request is transmitted to the API provider. A second response to the second API request is received from the API provider. A third response is provided to the API requestor based on the second response.

Abstract: A data management platform for intelligently managing data is provided. The data management platform includes an ETL module configured to extract, cleanse, transform, or load data; a data lake configured to store a first group of data formed by extracting raw data from a plurality of data sources by the ETL module; a data warehouse configured to store a second group of data formed by cleansing and standardizing on the first group of data; a general data layer configured to store a third group of data formed by subjecting the second group of data to data fusion; and a data mart configured to store a fourth group of data formed by transforming the third group of data by the ETL module. The general data layer is a distributed data storage storing information available for querying. The data mart is a database of NoSQL type storing information available for computational processing.

Abstract: A method and an electronic device of checking drug interaction are provided. The method includes: generating a first odds ratio (OR) between a first drug combination and a hospitalization event, a second OR between a second drug combination and the hospitalization event, and a third OR between a third drug combination and the hospitalization event according to a plurality of medical records; generating a first fraction corresponding to a first drug according to the second OR; generating a second fraction corresponding to a second drug according to the third OR; and outputting the first drug combination in response to the first OR being greater than a first threshold, a sum of the first fraction and the second fraction being greater than a second threshold, and a quotient of the first fraction and the second fraction being less than a third threshold.

Abstract: The present invention relates to a compound for treating gout, a preparation method therefor and the use thereof. The compound is as represented by formula I. Disclosed in the present invention are a method for preparing the compound and the use of the compound in the preparation of a drug for treating or preventing gout. Further disclosed in the present invention is a composition product containing the compound. The compound provided by the present invention can be used for treating inflammation and gout, and can also be used for treating cancers.

Abstract: Methods, systems, and computer-readable media for interactive workflow generation for machine learning lifecycle management are disclosed. A machine learning management system determines one or more prompts associated with use of a machine learning model. Input representing one or more responses to the one or more prompts is received. The one or more responses are provided via a user interface. The machine learning management system determines one or more workflows associated with the machine learning model. The workflow(s) are determined based at least in part on the one or more responses. The workflow(s) comprise a plurality of tasks associated with use of the machine learning model at a plurality of stages of a lifecycle of the model. One or more computing resources are determined, and at least a portion of the workflow(s) is performed using the one or more computing resources.

Abstract: The present disclosure provides an electronic device, a method for generating a package drawing, and a computer readable storage medium. The electronic device includes a display device and a processor, the processor is configured to obtain a type of the element and size parameters corresponding to the element input by a user; determine a size and a position of each of pads corresponding to the element according to the type of the element and the size parameters corresponding to the element, and draw the pads; determine coordinates of endpoints of an entity layer corresponding to the element, and draw the entity layer; determine coordinates of endpoints of a height layer corresponding to the element, and draw the height layer; and determine coordinates of endpoints of a screen layer corresponding to the element, and draw the screen layer.

Abstract: A software code testing system includes sub-engines and a test case database storing test cases. A test case sub-engine runs each of the test cases on a plurality of software code modules, and a software code coverage determination sub-engine identifies a respective software code coverage for each software code method included in each of the software code modules. A test case/software code coverage mapping sub-engine then maps the respective software code coverage for each of the software code methods included in each of the software code modules with the respective test case that was run on that software code module to provide a test case/software code coverage mapping, which is used by a test suite optimization sub-engine to generate a test suite that includes a subset of the test cases that provide a desired level of software code coverage using a minimum number of test cases.

Abstract: A computer-implemented method for defect analysis is provided. The computer-implemented method includes calculating a plurality of weight-of-evidence (WOE) scores respectively for a plurality of device operations with respect to detects occurred during a fabrication period, a higher WOE score indicating a higher correlation between a defect and a device operation; and ranking the plurality of WOE scores to obtain a list of selected device operations highly correlated with the defects occurred during the fabrication period, device operations in the list of selected device operations having a WOE score greater than a first threshold score. A respective one of the plurality of device operations is a respective device defined by a respective operation site at which the respective device perform a respective operation.

Abstract: Embodiments of the present invention relate to a method, system and computer program product for application programming interface (API) management. According to the method, in response to a first response from an API provider indicating a failure of a first API request initiated by an API requestor, a second API request is generated at least based on the first API request. The second API request is transmitted to the API provider. A second response to the second API request is received from the API provider. A third response is provided to the API requestor based on the second response.

Abstract: A data management platform for intelligently managing data is provided. The data management platform includes an ETL module configured to extract, cleanse, transform, or load data; a data lake configured to store a first group of data formed by extracting raw data from a plurality of data sources by the ETL module; a data warehouse configured to store a second group of data formed by cleansing and standardizing on the first group of data; a general data layer configured to store a third group of data formed by subjecting the second group of data to data fusion; and a data mart configured to store a fourth group of data formed by transforming the third group of data by the ETL module. The general data layer is a distributed data storage storing information available for querying. The data mart is a database of NoSQL type storing information available for computational processing.

Abstract: A medication risk evaluation method and a medication risk evaluation device are provided. The medication risk evaluation method includes: obtaining first medication route information related to a first medicine combination in a medication database; obtaining second medication route information related to a second medicine combination in the medication database; obtaining overlapping medication information between the first medication route information and the second medication route information; determining whether the overlapping medication information meets a noise exclusion condition; and if the overlapping medication information meets the noise exclusion condition, establishing a risk evaluation model based on other medication route information in the medication database excluding the first medication route information, where the risk evaluation model is adapted to evaluate a risk of using at least one medicine in the medication database.

Abstract: A method for calculating a high risk route of administration is provided. Multiple arrangement routes composed of every two medicines among multiple medicines included in a medical record database are listed. A risk value of each arrangement route is calculated by querying the medical record database based on a specified medication result. A risk score of each arrangement route is calculated according to the risk value, and the arrangement routes are sorted based on the risk scores. Starting from the arrangement route with the highest risk score, N arrangement routes are retrieved and a combination on N of the arrangement routes is performed to obtain multiple strung routes. The number of medicines included in each strung route matches a specified medication number.

Abstract: An example apparatus includes a processor and a memory in which is stored machine-readable instructions that are executable by the processor. The instructions cause the processor to determine a first operating torque response of a motor during a first operation of the apparatus, determine a second operating torque response of the motor during a second operation of the apparatus, the second operation being different from the first process, and determine an amount of media present in a media bin based on the first operating torque response and the second operating torque response.