Abstract: The disclosure relates to a wearable device, including: a fixed structure; a processor, where the processor is installed on the fixed structure; and a detachable structure, where the detachable structure is installed on the fixed structure in a detachable mode, at least one group of inductive pieces are arranged on the detachable structure, each group of inductive pieces includes at least one inductive element, and at least one sensor is arranged on the fixed structure. The sensor is configured to detect the inductive element at a corresponding position, different types of at least one group of inductive pieces are arranged on different types of detachable structures, and the processor is in communication connection with the sensor so as to adjust a display of the wearable device according to a detection result of the sensor.

Abstract: Disclosed is a preparation method of double-layer carbon-paper base paper with high uniformity and gradient pores, including adding carbon fibers to alkali lignin aqueous solution for treatment, controlling the alkali lignin aqueous solution to reach subcritical water conditions, and modifying the carbon fibers by sodium phenol reactive groups under the subcritical water conditions of the alkali lignin, for improving hydrophilic groups on a surface of the carbon fibers and a surface rough structure; further, modifying the carbon fibers to produce carbon nanotube clusters on the surface of the carbon fibers to obtain surface-thermally-modified carbon fibers, and adding the surface-thermally-modified carbon fibers to a dispersant for dispersion, stirring together with auxiliary materials to prepare a mixed slurry, and preparing the mixed slurry into the carbon-paper base paper by wet forming process.

Abstract: According to implementations of the present disclosure, a solution for cross-modal processing is provided. In this solution, a set of visual features of a training image is extracted according to a visual feature extraction sub-model in a target model. Each visual feature is corresponding to a pixel block in the training image. A set of visual semantic features corresponding to the set of visual features is determined based on a visual semantic dictionary. A set of text features of a training text corresponding to the training image is extracted according to a text feature extraction sub-model in the target model. Each text feature is corresponding to at least one word in the training text. The target model is trained based on the set of visual semantic features and the set of text features to determine association information between an input text and an input image.

Abstract: According to implementations of the subject matter described herein, there is provided a solution for generating a video from an image. In this solution, an input image and a reference video are obtained; a motion pattern of a reference object in the reference video is determined based on the reference video. An output video with the input image as a starting frame is generated. Motion of a target object in the output video has the motion pattern of the reference object and the target object is in the input image. In this way, according to the solution, the motion pattern of the reference object in the reference video can be intuitively applied to the input image to generate the output video, and the motion of the target object in the output video has the motion pattern of the reference object.

Abstract: A method and system for transforming an input image via a plurality of image transformation stylizers includes receiving the input image; providing the input image, information about the plurality of image transformation stylizers and at least one of user data, history data, and contextual data to a trained machine-learning (ML) model for selecting a subset of the plurality of image transformation stylizers; receiving as an output from the ML model the subset of image transformation stylizers; executing the subset of the image transformation stylizers on the input image to generate a plurality of transformed output images; ranking the plurality of transformed output images based on at least one of the input image, the user data, the history data, and the contextual data; and providing the ranked plurality of transformed output images for display.

Abstract: Disclosed is a preparation method of double-layer carbon-paper base paper with high uniformity and gradient pores, including adding carbon fibers to alkali lignin aqueous solution for treatment, controlling the alkali lignin aqueous solution to reach subcritical water conditions, and modifying the carbon fibers by sodium phenol reactive groups under the subcritical water conditions of the alkali lignin, for improving hydrophilic groups on a surface of the carbon fibers and a surface rough structure; further, modifying the carbon fibers to produce carbon nanotube clusters on the surface of the carbon fibers to obtain surface-thermally-modified carbon fibers, and adding the surface-thermally-modified carbon fibers to a dispersant for dispersion, stirring together with auxiliary materials to prepare a mixed slurry, and preparing the mixed slurry into the carbon-paper base paper by wet forming process.

Abstract: A method and system for transforming an input image via a plurality of image transformation stylizers includes receiving the input image; providing the input image, information about the plurality of image transformation stylizers and at least one of user data, history data, and contextual data to a trained machine-learning (ML) model for selecting a subset of the plurality of image transformation stylizers; receiving as an output from the ML model the subset of image transformation stylizers; executing the subset of the image transformation stylizers on the input image to generate a plurality of transformed output images; ranking the plurality of transformed output images based on at least one of the input image, the user data, the history data, and the contextual data; and providing the ranked plurality of transformed output images for display.

Abstract: A lateral control error of a steering system of an ADV is determined, which includes iteratively performing following operations for a predetermined time period. Whether the ADV is moving within a predetermined proximity of a current moving direction is determined. Next, whether a road condition of a road on which the ADV is driving satisfies a predetermined road condition is determined. Then, a first steering feedback of the ADV in response to a prior steering control command is measured. Thereafter, the lateral control error is determined based on at least a portion of the first steering feedback over the predetermined time period. Further, a steering command in view of the lateral control error of the steering system is generated. Finally, the steering command is applied to control the ADV to compensate the lateral control error of the steering system.

Abstract: The present disclosure provides a method and a device for autonomous driving control, a vehicle, a storage medium and an electronic device. The method includes: obtaining first actual position data of a first vehicle body; obtaining relative position data between a second vehicle body and the first vehicle body; determining second actual position data of the second vehicle body according to the first actual position data and the relative position data, so that the vehicle performs autonomous driving control according to the first and second actual position data. The method can obtain the relative position between two vehicle bodies connected in the non-rigid manner and the real-time positions of the two vehicle bodies under different driving conditions in real time during the driving, can accurately depict the dynamic characteristics of two vehicle bodies, so that the vehicle performs autonomous driving control according to the first and second actual position data.

Abstract: Provided are a pass route planning method and apparatus, a device and a readable storage medium. The method includes: obtaining current road environment information in front of a vehicle; determining a current passable area according to the current road environment information; setting pass candidate points in the current passable area; and determining a current optimal passable route according to the pass candidate points. Firstly, the passable area is determined, and then the pass candidate points are set in the passable area, and thus the current optimal passable route is calculated according to the pass candidate points in the passable area, which can effectively reduce a calculation amount of unreachable pass routes in the prior art in which candidate points are set in all areas directly in front of an unmanned vehicle, thereby reducing a calculation amount for planning a pass route and improving a planning speed of the pass route.

Abstract: A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Abstract: A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.

Abstract: A lateral control error of a steering system of an ADV is determined, which includes iteratively performing following operations for a predetermined time period. Whether the ADV is moving within a predetermined proximity of a current moving direction is determined. Next, whether a road condition of a road on which the ADV is driving satisfies a predetermined road condition is determined. Then, a first steering feedback of the ADV in response to a prior steering control command is measured. Thereafter, the lateral control error is determined based on at least a portion of the first steering feedback over the predetermined time period. Further, a steering command in view of the lateral control error of the steering system is generated. Finally, the steering command is applied to control the ADV to compensate the lateral control error of the steering system.

Abstract: A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Abstract: A floating structure and basic module of a floating structure are presented. The floating structure includes multiple lower floating bodies, an upper structure, and intermediate connection structures. The multiple lower floating bodies include multiple distributed elongated floating bodies. The floating bodies are spaced from each other by a certain distance. The sum of the displacement volumes of the floating bodies is greater than the displacement volume when the floating structure as a whole is fully loaded. The intermediate connection structures include at least multiple connection structures in a first direction, the first direction intersecting the horizontal plane. A connection structure in the first direction corresponds to a single elongated floating body connected to three or more spaced structures. The cross-section width of each intermediate connection structure in the horizontal direction is less than the width of the corresponding elongated floating body.

Abstract: Factors for extending the ability of isolated pluripotent stem cells to generate extraembryonic lineages in vivo, following in vitro culture, herein, chemical extenders of pluripotency (CEP). Methods of extending the ability of a pluripotent cell to generate embryonic and extraembryonic lineages. The cell to be reprogrammed is contacted with effective amounts of the CEPs for a sufficient period of time to reprogram the cell into a chemically induced extended pluripotent cell (ciEPSC). ciEPSC are identified as an extended pluripotent cell based on properties including: (i) morphologically and (ii) functionally for example, based on their ability contribute to both TE and ICM, in vivo. The ciEPSCs can be cultured or induced to differentiate into cells of a desired type, and used in a number of applications, including but not limited to cell therapy and tissue engineering.

Abstract: A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Abstract: The present disclosure provides a method and a device for autonomous driving control, a vehicle, a storage medium and an electronic device. The method includes: obtaining first actual position data of a first vehicle body; obtaining relative position data between a second vehicle body and the first vehicle body; determining second actual position data of the second vehicle body according to the first actual position data and the relative position data, so that the vehicle performs autonomous driving control according to the first and second actual position data. The method can obtain the relative position between two vehicle bodies connected in the non-rigid manner and the real-time positions of the two vehicle bodies under different driving conditions in real time during the driving, can accurately depict the dynamic characteristics of two vehicle bodies, so that the vehicle performs autonomous driving control according to the first and second actual position data.

Abstract: A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.

Abstract: A method and an apparatus for presenting and issuing a coupon based on an internet platform. The presenting method includes: presenting a prompt information on issuing a coupon package, where the coupon package contains two or more sub-coupons; receiving a confirmation-collecting operation corresponding to the coupon package; sending a coupon-package issuing request for the coupon package based on the confirmation-collecting operation; and upon receiving a confirmation information on the coupon-package issuing request, displaying issue information on the coupon package; the sub-coupons contained in the coupon package is listed in the issue information on the coupon package.