Abstract: The present disclosure provides a method and apparatus for training an item copy-writing generation network. The method includes: obtaining item description information of each item in an item set; carrying out data preprocessing on an item description information set corresponding to the item set, to obtain a processed item description information set; training an initial first item copy-writing generation network, to obtain a trained first item copy-writing generation network; and training an initial second item copy-writing generation network through a knowledge distillation method, to obtain a trained second item copy-writing generation network.

Abstract: Disclosed is a quantitative identification method of standard chart for shale lithofacies prediction, and relates to the field of shale oil and gas exploration and development. On the basis of logging data, the application designs the discrimination standard of shale lithofacies chart, maximizes the utilization of different types of logging curves, extracts characteristic logging curves, and constructs the identification system of typical lithofacies from two angles of absolute value and relative value of logging curves, thus avoiding the waste of original data sources and subjective errors in the identification process, finally realizing the identification of characteristic logging curves of typical shale lithofacies, and being beneficial to the subsequent research on spatial distribution of shale lithofacies facing the regional research area.

Abstract: This application discloses a photographing interface display method and apparatus, an electronic device, and a medium. The method includes: receiving a first input performed by a user on a first interface, where the first interface includes at least one thumbnail, and each thumbnail indicates one image; displaying N mode identifiers in response to the first input, where each mode identifier is used to indicate a photographing mode of at least one image, and N is a positive integer; receiving a second input performed by a user on a target mode identifier in the N mode identifiers; and displaying a photographing preview interface of a target photographing mode in response to the second input, where the target photographing mode is a photographing mode indicated by the target mode identifier.

Abstract: The embodiment of the present application provides a method and apparatus for generating a recommendation reason, a device and a storage medium. Content information of an object to be recommended is acquired, and the recommendation reason of the object to be recommended is generated according to a pre-trained recommendation reason generation model and the content information, where the training data used by the recommendation reason generation model includes question-answer data and content information of multiple objects. In this technical solution, since the training of the recommendation reason generation model takes the question-answer data and the content information of multiple objects into account, commodities that users care about most are mined through the question-answer data, therefore, the recommendation reason generated by this solution can accurately target users’ needs and improve user experience.

Abstract: The present disclosure provides a Cas12i protein (e.g., non-naturally occurring, engineered) comprising an amino acid sequence having at least about 80% (e.g., at least about any of 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, 99.5%, or 100%) identity to the amino acid sequence as set forth in any one of SEQ ID NOs: 1-10 (preferably, SEQ ID NOs: 1-3 and 6, and more preferably, SEQ ID NO: 1).

Abstract: The present disclosure provides a Cas12i protein (e.g., non-naturally occurring, engineered) comprising an amino acid sequence having at least about 80% (e.g., at least about any of 81%, 82%, 83%, 84%, 85%, 86%, 87%, 88%, 89%, 90%, 91%, 92%, 93%, 94%, 95%, 96%, 97%, 98%, 99%, 99.5%, or 100%) identity to the amino acid sequence as set forth in any one of SEQ ID NOs: 1-10 (preferably, SEQ ID NOs: 1-3 and 6, and more preferably, SEQ ID NO: 1).