Abstract: A fusion protein CrtZW and an application in catalyzing a production of astaxanthin from ?-carotene are provided, which relates to the field of astaxanthin synthesis technology. The sequence of the fusion protein CrtZW is shown in SEQ ID NO. 4. The fusion protein can catalyze the synthesis of astaxanthin from ?-carotene in one step and is suitable for large-scale production.

Abstract: The present invention provides a method for obtaining high-purity and high-stability recombinant human albumin, wherein medium-long-chain fatty acid ligands are added and proteins of charge heterogeneity are removed through anion and/or cation chromatography. An inventiveness of the present invention is that the mixed solution contains a fatty acid mixture and poloxamer, and the molar ratio of oleic acid, myristic acid, sodium palmitate, sodium stearate to recombinant human albumin is 0.3:0.3:0.3:0.5:1. Sequential use of ion exchange chromatography can effectively remove truncated albumins, mismatched or modified albumins from recombinant albumins, to remove albumins of charge heterogeneity and modified albumins, to obtain high-purity and high-stability human albumin.

Abstract: Disclosed are a cell reselection method, a terminal device and a computer-readable storage medium. The cell reselection method, applied to a terminal device, may include: acquiring base station parameter information of a second base station in response to the first USIM card being subjected to cell reselection and changing from the first base station to the second base station by means of reselection; and performing cell reselection on the second USIM card according to the base station parameter information.

Abstract: The present invention provides a method for purification of a recombinant protein, in particular to a recombinant human albumin; the method includes: (a) adding aminoguanidine and a medium-long chain fatty acid to a sample containing the recombinant protein; and (b) chromatographing the obtained sample, where the chromatography is optionally performed with a chromatographic buffer solution containing aminoguanidine.

Abstract: A recombinant engineering bacterium for improving a yield of a recombinant human albumin is provided, which relates to the field of biological chemistry, particularly to the fields of gene engineering technologies and microorganisms. Targeted knockout is conducted on one or more genes of CCW14 gene, EMW1 gene, and PUN1 gene by utilizing a CRISPR-Cas9 gene editing technology, and/or one or more genes of EXG1 gene and SPR1 gene are over-expressed and integrated into a strain of the recombinant engineering bacterium, so as to improve the expression level of the recombinant human albumin.

Abstract: A method for detecting and tracking a target is provided. The method includes: acquiring a target tracking result of each video frame of a plurality of video frames received from a video stream by inputting the each video frame of the plurality of video frames into a tracking network; in response to a video frame of the plurality of video frames being a key frame, acquiring a target detection result output by a detection network upon receiving a last delay frame in a specified number of delay frames by inputting the key frame into the detection network and controlling the detection network to operate during a period of receiving the specified number of delay frames; and generating a final target tracking result based on the target detection result and a target tracking result of the last delay frame.

Abstract: Provided is a method for training an image generation model, including: acquiring a first transformation model by training; acquiring a reconstruction model by training based on the first transformation model; acquiring a second transformation model by training; generating a grafted transformation model by grafting the first transformation model with the second transformation model; and generating the image generation model based on the reconstruction model and the grafted transformation model. The first transformation model is configured to generate a first training image according to a first noise sample. The first training image is an image of a first style. The reconstruction model is configured to map an original image sample to a latent variable corresponding to the original image sample. The second transformation model is configured to generate a second training image according to a second noise sample. The second training image is an image of a second style.

Abstract: Provided are a method and apparatus for managing a radio mode capability, and an electronic device and a computer-readable storage medium. The method for managing a radio mode capability may comprises: when a condition for triggering a process of disabling of a cell with a target radio mode is satisfied, releasing a local radio resource of the target radio mode, wherein the target radio mode is a radio mode may be implemented by using the non-standalone.

Abstract: A method for docking a boarding bridge with an aircraft, an electronic equipment and a storage medium are provided. The method includes: planning a path from a position at which a bridgehead is located when the boarding bridge is at a parking position to a pre-docking position which is 1 to 2 meters away from a cabin door of the aircraft, driving the boarding bridge to move the bridgehead towards the pre-docking position along the path until the bridgehead moves to a position within 2 meters away from the pre-docking position; acquiring an aircraft image of the aircraft, obtaining a spatial position of the cabin door according to the aircraft image, and moving the boarding bridge according to the spatial position to enable the bridgehead to dock with the cabin door.

Abstract: A system includes an acoustic lure and a sensor package disposed within an interior volume of an insect trapping container and a computing device in communication with the acoustic lure and the sensor package configured to instruct the acoustic lure to output an acoustic tone. The computer device is further configured to receive sensor data from the sensor package, the sensor data representative of insects within the interior volume. Responsive to receiving the sensor data, the computing device is configured to instruct an imaging device to capture image data representative of the insects within the interior volume or determine insect count data based on the sensor data. The computing device is configured to then transmit output data to a remote computing system, the output data including at least one of a first portion of the image data or a second portion of the insect count data.

Abstract: Provided is a method for training a scene recognition model. The scene recognition model includes a core feature extraction layer, a global information feature extraction layer, an LCS module of at least one level with an attention mechanism, and a fully-connected decision layer. The method includes: acquiring parameters of the core feature extraction layer and the global information feature extraction layer by training based on a first scene label of a sample image and a standard cross-entropy loss; training a weight parameter of the LCS module of each level, based on a loss value acquired by performing a pixel-by-pixel calculation on a feature map output from the LCS module of each level and the first scene label of the sample image; and acquiring a parameter of the fully-connected decision layer by training based on the first scene label of the sample image and the standard cross-entropy loss.

Abstract: Provided is a method for detecting hand key points. The method includes: acquiring a hand image to be detected; acquiring heat maps of the hand key points by inputting the hand image into a pre-trained heat map model, wherein the heat maps include two-dimensional coordinates of the hand key points; acquiring hand structured connection information by inputting the heat maps and the hand image into a pre-trained three-dimensional information prediction model; and determining, based on the hand structured connection information and the two-dimensional coordinates in the heat maps, three-dimensional coordinates of the hand key points in a world coordinate system.

Abstract: This disclosure provides an autonomous vehicle driving system and method. A vehicle may be located by using a vehicle-determined location determined by a vehicle-side locator based on a differential operation and an environmental image captured by an image sensor, that is, a current vehicle location of the vehicle is determined, so that accuracy of vehicle locating is ensured. Further, vehicle driving may be controlled based on the current vehicle location and environmental sensing data, and thus autonomous driving can be implemented without a LiDAR during vehicle operation, thereby reducing costs without affecting the appearance and use of the vehicle.

Abstract: Provided is a method for moderating abnormal users. The method includes: acquiring history behavior data of a plurality of to-be-moderated users, wherein the history behavior data includes behavior data of interactions of the plurality of to-be-moderated users; extracting a plurality of predetermined valid features from the history behavior data for each of the plurality of to-be-moderated users, wherein the predetermined valid features are features predetermined in sample data; calculating, based on predetermined probabilities of events associated with the plurality of valid features, a probability that each of the plurality of to-be-moderated users is the abnormal user; establishing a total probability function based on probabilities that the plurality of to-be-moderated users are the abnormal users; determining candidate users by solving, based on predetermined conditions, a maximum value of the total probability function; and determining the abnormal users by moderating the candidate users.

Abstract: A method for constructing cartoonization models is provided. The method includes: generating a predetermined number of sample authentic images using a pre-trained first generative model; constructing a second generative model based on the first generative model, and generating a sample cartoon image corresponding to each of the sample authentic images using the second generative model; acquiring a sample image pair by combining the each of the sample authentic images with the corresponding sample cartoon image; and generating a cartoonization model for converting a target image into a fully cartoonized image by fitting, based on a sample set consisting of multiple sample image pairs, a predetermined initial cartoonization model with a weight corresponding to the second generative model as an initial weight.

Abstract: Embodiments of this application disclose methods, apparatuses, and storage media for transmitting and responding to assistance request information. The method includes receiving an assistance request instruction; transmitting an assistance request message to an instant messaging client of at least one request-receiving user based on the assistance request instruction, the assistance request message being displayed on a session page of the instant messaging client, the session page being used by the at least one request-receiving user to conduct a message session; and acquiring assistance request content of an assistance requesting user in real time and displaying the assistance request content to the session page.

Abstract: A method for training a neural network, including: determining a neural network; training the neural network at a first learning rate according to a first optimization mode, where the first learning rate is updated each time the neural network is trained; mapping the first learning rate of the first optimization mode to a second learning rate of a second optimization mode in the same vector space; determining the second learning rate satisfies a preset update condition; and continuing to train the neural network at the second learning rate according to the second optimization mode.

Abstract: Provided is a method for detecting object poses. The method includes: acquiring image data, wherein the image data includes a target object; detecting two-dimensional first pose information of a three-dimensional bounding box in response to being projected onto the image data by inputting the image data into a two-dimensional detection model, wherein the bounding box is configured to detect the target object; mapping the two-dimensional first pose information to three-dimensional second pose information; and detecting third pose information of the target object based on the three-dimensional second pose information.