Abstract: The embodiments of the present disclosure provide methods and systems for livestreaming. The method may be implemented on a server. The method may include: obtaining standard content of a livestreaming unit; determining, based on the standard content, a first audio of livestreaming of the standard content by a virtual person and a first driving parameter corresponding to the first audio; and sending the first audio and the first driving parameter to at least one client terminal to direct the at least one client terminal to perform the livestreaming of the standard content on the livestreaming unit through the virtual person.

Abstract: The present application relates to the technical field of battery production configuration, in particular to a bag-making type stacking apparatus and a stacked product. The bag-making type stacking apparatus comprises: a negative electrode bag-making system, comprising a negative electrode plate plate-making system (1) and a unit plate composite bag-making system (2) which are arranged in a spaced manner; a positive electrode plate plate-making system (3) spaced apart from the negative electrode bag-making system; a stacking device (4) spaced apart from the negative electrode bag-making system and the positive electrode plate plate-making system (3); and a carrying device (5) spaced apart from the stacking device (4), the carrying device (5) is provided with a carrying member which reciprocates between the unit plate composite bag-making system (2), the stacking device (4) and the positive electrode plate plate-making system (3).

Abstract: The embodiments of the present disclosure provide methods and systems for livestreaming. The method may be implemented on a server. The method may include: obtaining standard content of a livestreaming unit; determining, based on the standard content, a first audio of livestreaming of the standard content by a virtual person and a first driving parameter corresponding to the first audio; and sending the first audio and the first driving parameter to at least one client terminal to direct the at least one client terminal to perform the livestreaming of the standard content on the livestreaming unit through the virtual person.

Abstract: Techniques for performing a cross-platform media content personalization are described.

Abstract: An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display of the seed recommendations.

Abstract: A method of installing a hybrid foundation for an offshore wind turbine, the method includes providing a monopile, friction wheel, and suction bucket; installing the friction wheel and suction bucket in the sea floor; and inserting the monopile through the opening into the sea floor.

Abstract: An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display of the seed recommendations.

Abstract: An example computer-implemented method includes receiving a plurality of agricultural data records including yield properties of one or more products grown in a given field and continuous data indicative of multiple raw field features and specific to the given field. The method also includes transforming the raw field features into distinct feature classes and generating, using data from the plurality of agricultural data records and the distinct feature classes, genomic-by-environmental relationships between the one or more products. Further, the method includes generating, based at least in part on the genomic-by-environmental relationships, predicted yield performance for a set of products associated with one or more target environments, generating product recommendations for the one or more target environments based on the predicted yield performance for the set of products, and providing one or more instructions configured to cause display of the product recommendations.

Abstract: A hybrid offshore wind turbine includes a monopile, friction wheel, and suction bucket.

Abstract: An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.

Abstract: An example computer-implemented method includes receiving a plurality of agricultural data records including yield properties of products grown in fields and raw field features of the fields. The method also includes transforming the raw field features into distinct feature classes that characterize key features affecting yield of the one or more products, and generating, using data from the plurality of agricultural data records and the distinct feature classes, genomic-by-environmental relationships between one or more products, yield properties of the one or more products, and field features associated with the one or more products.

Abstract: Disclosed is an artificial intelligence infrared thermal imaging bra system with breast disease detecting function. The system includes a side support, two chest support layers and two shoulder straps; the two shoulder straps are fixed at both ends of the side support, and the two chest support layers are symmetrically fixed between the two shoulder straps at the top of the side support; the two chest support layers are internally provided with sliding mechanisms that are adjustable according to different chests of users; a rotating mechanism for driving the sliding mechanisms to move is arranged between the two chest support layers at the top of the side support, and the rotating mechanism and the sliding mechanisms are in transmission connection; one end of the side support is fixed with a sub-buckle, and the other end of the side support is provided with a stretching mechanism.

Abstract: A hybrid offshore wind turbine includes a monopile, friction wheel, and suction bucket.

Abstract: A hybrid offshore wind turbine includes a monopile, friction wheel, and suction bucket.

Abstract: An example computer-implemented method includes receiving a plurality of agricultural data records including yield properties of products grown in fields and raw field features of the fields. The method also includes transforming the raw field features into distinct feature classes that characterize key features affecting yield of the one or more products, and generating, using data from the plurality of agricultural data records and the distinct feature classes, genomic-by-environmental relationships between one or more products, yield properties of the one or more products, and field features associated with the one or more products.

Abstract: A testing method for splicing screens is provided. The method includes: outputting an image signal to a display screen, wherein the display screen includes a plurality of splicing screens, the image signal includes a plurality of testing sub pictures, the testing sub pictures are arranged correspondingly to the splicing screens so as to enable the splicing screens to display the corresponding testing sub pictures, and the testing sub pictures include testing contents; and testing the splicing screens through the testing contents, wherein the testing contents include a graduation signal, by which an accurate test is performed on the splicing screens.

Abstract: An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.