Abstract: Example methods and systems provide a workplace assistant application that can detect one or more received messages associated with a remote user and access multiple communication channels connected to a workplace assistant client application. Received message(s), information from the channels, and stored metadata can be submitted to one or more predictive models to provide a context for the message(s). The system can generate, using output from the predictive model(s), a response message based at least in part on the context of the received message. The system can display the response in the workplace assistant client application for acceptance or editing by the user, or transmit the response message.

Abstract: A method includes: obtaining a first image including a target item; selecting a plurality of reference images corresponding to the first image from a database; performing word segmentation on item text information corresponding to the plurality of reference images to obtain a plurality of words; and extracting a key word meeting a reference condition from the plurality of words, and determining the extracted key word as an item name of the target item.

Abstract: Example methods and systems provide a workplace assistant application that can detect electronic content associated with a remote user and access multiple communication channels connected to a workplace assistant client application. The system can submit the electronic content to one or more predictive models to provide a context for the electronic content. The context is based at least in part on information from multiple channels. The system can generate, using the predictive model(s), an action item based at least in part on the context of the electronic content as well as display or store the action item using the workplace assistant client application. An action item, as examples, can be a “to do” item, a meeting agenda, a reminder, a meeting, a task, or some combination of one or more of these.

Abstract: Example methods and systems provide a workplace assistant application that can detect one or more received messages associated with a remote user and access multiple communication channels connected to a workplace assistant client application. Received message(s), information from the channels, and stored metadata can be submitted to one or more predictive models to provide a context for the message(s). The system can generate, using output from the predictive model(s), a response message based at least in part on the context of the received message. The system can display the response in the workplace assistant client application for acceptance or editing by the user, or transmit the response message.

Abstract: A method includes: obtaining a first image including a target item; selecting a plurality of reference images corresponding to the first image from a database; performing word segmentation on item text information corresponding to the plurality of reference images to obtain a plurality of words; and extracting a key word meeting a reference condition from the plurality of words, and determining the extracted key word as an item name of the target item.

Abstract: The embodiments of the present disclosure relate to the field of genetic engineering technology, and in particular, to a method for constructing a transgenic plant comprising a TaPDIL4-1B gene. A cDNA sequence of the TaPDIL4-1B gene is shown in SEQ ID NO: 1. The embodiments of the present disclosure apply the genetic engineering technology to obtain the TaPDIL4-1B gene from wheat for the first time, and transfer the gene into plants through Agrobacterium-mediated manners. This gene can make plants have strong resistance to scab, which provides good candidate genes for the development and breeding of new crop varieties with resistance to fusarium head blight.

Abstract: Embodiments of this application disclose a headword extraction method performed by a computer device. The method includes: obtaining a sentence feature of a target sentence and word features of a plurality of words in the target sentence; extracting semantics of the sentence feature of the target sentence to obtain a semantic feature of the target sentence, and extracting semantics of the word feature of each word to obtain a semantic feature of the word; obtaining a respective matching degree between the semantic feature of each of the plurality of words and the semantic feature of the target sentence; and determining, among the plurality of words in the target sentence, a word with a largest corresponding matching degree as a headword of the target sentence. The method can improve the accuracy of headwords extracted from the target sentence.

Abstract: A method includes: obtaining a first image including a target item; selecting a plurality of reference images corresponding to the first image from a database; performing word segmentation on item text information corresponding to the plurality of reference images to obtain a plurality of words; and extracting a key word meeting a reference condition from the plurality of words, and determining the extracted key word as an item name of the target item.

Abstract: The present application relates to geophysical survey, particularly provides an inversion velocity model, a method for establishing the same and a method for acquiring images of underground structure. The method for establishing inversion velocity model comprises: converting observation seismic records into first intermediary data which contains data with frequency no higher than a first predetermined frequency; calculating synthetic seismic records based on a set initial velocity model and converting the synthetic seismic records into second intermediary data which also contains data with frequency no higher than the first predetermined frequency; establishing an objective function based on the first intermediary data and the second intermediary data; calculating a velocity gradient of seismic wave based on the objective function; calculating a iteration step of the velocity gradient; determining the inversion velocity model based on the velocity gradient and the iteration step.

Abstract: The present application relates to geophysical survey, particularly provides an inversion velocity model, a method for establishing the same and a method for acquiring images of underground structure. The method for establishing inversion velocity model comprises: converting observation seismic records into first intermediary data which contains data with frequency no higher than a first predetermined frequency; calculating synthetic seismic records based on a set initial velocity model and converting the synthetic seismic records into second intermediary data which also contains data with frequency no higher than the first predetermined frequency; establishing an objective function based on the first intermediary data and the second intermediary data; calculating a velocity gradient of seismic wave based on the objective function; calculating a iteration step of the velocity gradient; determining the inversion velocity model based on the velocity gradient and the iteration step.