Abstract: Embodiments of this application provide a resource scheduling method, which includes: transmitting, by a terminal device, at least first indication information to a network device on a pre-allocated uplink resource, where the first indication information indicates a data volume of to-be-transmitted data of the terminal device; and transmitting the to-be-transmitted data on an uplink resource if the terminal device receives at least second indication information transmitted by the network device, where the second indication information indicates the uplink resource allocated by the network device to the terminal device. In the embodiments of this application, when to-be-transmitted data is MBB service data, the terminal device may transmit a data volume of the MBB service data to the network device on a grant-free resource, so that the network device allocates an uplink resource to the terminal device and the terminal device transmits the MBB service data on the uplink resource.

Abstract: A communication method is described that includes a terminal device receiving a first message sent by a network device to which the terminal device expects to be handed over, and the first message indicates at least one target manner of the air interface technology determined by the network device from at least one optional manner of the air interface technology. Thereafter, the terminal device communicates with the network device by using the at least one target manner of the air interface technology.

Abstract: The present application discloses a method of training a convolutional neural network for defect inspection. The method includes collecting a training sample set including multiple solder joint images. A respective one of the multiple solder joint images includes at least one solder joint having one of different types of solder joint defects. The at least one solder joint is located substantially in a pre-defined region of interest (ROI) in a center of the image. The method further includes inputting the training sample set to a convolutional neural network to obtain target feature vectors respectively associated with the multiple solder joint images. Additionally, the method includes adjusting network parameters characterizing the convolutional neural network through a training loss function based on the target feature vectors and pre-labeled defect labels corresponding to different types of solder joint defects. The training loss function includes at least two different loss functions.

Abstract: The present disclosure relates to spectacles. The spectacles include a lens including a first portion and a second portion disposed opposite each other and a first cavity between the first portion and the second portion, a frame surrounding the lens and supporting the lens, a colored liquid disposed in the interior space, a first hydrophobic dielectric film disposed on an inner surface of the frame, a first electrode disposed between the inner surface of the frame and the first hydrophobic dielectric film, and a second electrode disposed in the interior space and in contact with the colored liquid. The frame has a second cavity defined by an inner surface of the frame. The second cavity is in communication with the first cavity to form an interior space.

Abstract: The present disclosure describes a Mtu ?I-CM intein variant containing one or more mutations or a biologically active fragment thereof, and a method for producing and purifying a molecule of interest using the intein variant. Further described are isolated fusion proteins comprising the intein variant and a tag and a molecule of interest. Also described are expression systems for expressing the intein variant as well as polypeptide screening methods employing the intein variant.

Abstract: A neural network for automatically tagging an input image is provided. The neural network includes a residual attention network configured to extract features of the input image and generate a first feature map including the features of the input image; a first tagging network configured to receive the first feature map and generate a predicted probability of a first tag of the input image; a second tagging network configured to receive the first feature map and generate a predicted probability of a second tag of the input image; and a third tagging network configured to receive the first feature map and generate a predicted probability of a third tag of the input image.

Abstract: According to the embodiments of the present application, there are proposed a method and electronic device for retrieving an image, and computer readable storage medium. The method includes: processing an image to be retrieved using a first neural network to determine a local feature vector of the image to be retrieved; processing the image to be retrieved using a second neural network to determine a global feature vector of the image to be retrieved; and determining, based on the local feature vector and the global feature vector, an image having a similarity to the image to be retrieved which is higher than a similarity threshold.

Abstract: The present disclosure provides a training method for a tag identification network, a tag identification apparatus/method and device. The training method for a tag identification network includes: acquiring a first number of first images, each of the first images having its standard tag; adjusting parameters of the tag identification network by utilizing the first number of first images and their standard tags; selecting a second number of first images from the first number of first images as images to be converted, the second number being smaller than the first number; performing a style conversion process on each of images to be converted to generate a second image corresponding thereto, and serving a standard tag of the image to be converted as a standard tag of the second image; and adjusting the parameters of the tag identification network by utilizing the second number of the second images and their standard tags.

Abstract: This disclosure proposes an image recognition method and apparatus. The method comprises: obtaining an image to be recognized; inputting the image into a first preset block of a residual neural network, to obtain a first image feature corresponding to the image; inputting the first image feature into a second preset block of the residual neural network, an attention model, a first convolution layer, and a pooling layer arranged in this order, to obtain first label information corresponding to the image, which has a label correlation representation; inputting the first image feature into a second convolution layer and a bidirectional neural network arranged in this order, to obtain second label information corresponding to the image, which has a label correlation representation; and determining label information corresponding to the image in accordance with the first label information and the second label information.

Abstract: A method of inhibiting the growth of Pseudomonas syringae on a plant material, the method including applying, to the plant material, with a composition including an effective amount of one or more acetates. A composition for inhibiting the growth of Pseudomonas syringae on a plant material includes an effective amount of one or more acetates selected from the group consisting of sodium acetate, iron acetate, potassium acetate, lithium acetate, magnesium acetate, calcium acetate, aluminum acetate, and nickel acetate. A kit for treating an infection caused by Pseudomonas syringae on a plant material, the kit including one or more acetates.

Abstract: The present disclosure provides a pair of glasses, including spectacle lenses and a sensing device, wherein the spectacle lens includes two layers of lenses which form a cavity, wherein the layer of lens on a wearing side of the spectacle lens is deformable, the cavity is filled with a first liquid and a second liquid, a volume of the first liquid is greater than that of the second liquid, and an electrowetting film is provided oppositely on a middle portion of an inner surface of at least one layer of lens, and wherein the sensing device is configured to measure a distance between the glasses and an object to be observed, wherein in the case where the measured distance is less than a preset spacing, the sensing device is turned on to apply a voltage to the electrowetting film.

Abstract: A communication method performed by a terminal device is described. The method includes receiving a notification message from a network device. The notification message carries a target manner of an uplink waveform. The method further includes determining the target manner of an uplink waveform, and thereafter sending a message 3 with the target manner of the uplink waveform to the network device to perform an initial random access.

Abstract: The present disclosure discloses a method for preparing lenalidomide. The present disclosure provides a method for preparing lenalidomide I, which comprises the following steps: in a solvent, the lenalidomide intermediate II is reduced with a metal in the presence of an organic acid to obtain the lenalidomide I, wherein the metal is one or more selected from zinc, iron, aluminum and manganese. The preparation method of the disclosure has simple and safe operation, simple post-processing steps, environmental friendliness, high total yield. Moreover, the product obtained in the method has a purity of more than 99.90%, maximum single impurity of less than 0.10%, total heavy metal residue of less than 10 ppm and meet the heavy metal residue standard and API standard. Furthermore, the method has a low production cost and is suitable for industrial production.

Abstract: The present disclosure discloses an array substrate, a display panel and a display device. The array substrate comprises: a substrate, multiple signal lines arranged on a side of the substrate and extending along a first direction, and multiple lead terminals connected with the multiple signal lines respectively; wherein the multiple lead terminals each comprises: a bonding area configured to be bonded with a flexible printed circuit board, and a bending area located at a side of the bonding area facing away from a connected signal line, wherein the lead terminal is bent-shaped in the bending area.

Abstract: A micro-displacement amplifying apparatus comprises two sets of asymmetrical amplifying structures; each set of asymmetrical amplifying structure comprises a plurality of asymmetrical amplifying units connected in series by flexible hinges; the asymmetrical amplifying unit is used for amplifying a micro-displacement; the two sets of asymmetrical amplifying structures are in opposite positions and overlap with each other; the input end and output end are coupled to the asymmetrical amplifying unit by a flexible hinge, respectively; the input end is used for inputting the micro-displacement to the asymmetrical amplifying unit, and the output end is used for outputting the amplified displacement; the two contacting input ends are fixed and coupled to each other, and the two contacting output ends are fixed and coupled to each other. The present disclosure further discloses an amplification method of the micro-displacement amplifying apparatus.

Abstract: Provided is use of tectorigenin in the preparation of a medicament for treatment of chicken necrotic enteritis. Using tectorigenin for treating chicken necrotic enteritis can significantly reduce the degree of pathological changes in the intestinal tract of chickens with necrotic enteritis, and has a good therapeutic effect on chicken necrotic enteritis caused by Clostridium perfringens.

Abstract: The present invention belongs to the technical field of mobile transformer substation, and in particular relates to a vehicle-mounted mobile transformer with a position-adjustable lead-out bushing.

Abstract: The present disclosure provides a distortion correction method, a distortion correction apparatus, an electronic device, and a computer-readable storage medium, the distortion correction method including: performing a line detection on the distorted image to obtain multiple straight lines in the distorted image; grouping the straight lines into multiple groups of straight lines; selecting optimal boundary lines of the distorted image from the groups of straight lines; determining multiple initial vertexes of the distorted image according to intersection points between the optimal boundary lines; and performing a perspective transformation processing on the distorted image according to the initial vertexes to obtain a corrected image.

Abstract: The embodiments of the present disclosure disclose an image tag generation method, a sever and a terminal device. An image tag generation method applied to a first device, includes: receiving a tag request sent by a second device; acquiring a thumbnail corresponding to the tag request; obtaining image tags by identifying the thumbnail; and sending the image tags to the second device.

Abstract: An LED lamp protection circuit comprising: a driving circuit, a rectifier circuit coupled with the driving circuit, an LED luminous component circuit coupled with the rectifier circuit, and an arcing protection circuit coupled between the rectifier circuit and the LED luminous component circuit. The arcing protection circuit and the LED luminous component circuit are connected in parallel. When the LED lamp works under a normal condition, the arcing protection circuit is in blocking state. When at least one circuit between the rectifier circuit and the LED luminous component circuit opens, the arcing protection circuit is turned on, the driving circuit and the arcing protection circuit form a loop circuit to extinguish arc.