Abstract: Disclosed are a method and apparatus for determining an RA-RNTI. In the present application, a base station receives a random access preamble sent by a terminal; the base station determines an RA-RNTI according to a time-frequency resource occupied by the random access preamble, and the time-frequency resource is a time-frequency resource of an orthogonal frequency division multiplexing (OFDM) symbol level; and the base station sends a random access response message, and the random access response message includes downlink control information allocated, by the base station, for the terminal, and the downlink control information is scrambled using the RA-RNTI. By means of the present application, an RA-RNTI can be determined during a random access process of an NR system.

Abstract: The embodiments of the present disclosure relate to the field of communication technology, and disclose a grid map generation method and device, and a computer-readable storage medium. The grid map generation method includes: acquiring original image data of an original image photographed by a photographing device and pose data of the photographing device when photographing the original image; inputting the original image data and the pose data into a preset learning model to obtain first image data, wherein the preset learning model performs a first dynamic object filtering on the original image data according to the pose data to obtain the first image data; fusing the first image data and the pose data into the preset learning model to obtain a fusion learning model; and obtaining a grid map of the original image data according to the fusion learning model and the pose data.

Abstract: The present disclosure provides a self-learning collaborative control method for active steering and yaw moment for a motor vehicle, including a first step of constructing fundamental formulas which are stored in a vehicle ECU, and a second step of calculating an active steering angle ?C and a yaw moment Mc on line by the vehicle ECU according to following sub-steps during a driving process of the motor vehicle, and controlling a driving state of the motor vehicle according to ?C and Mc. The second step includes a first sub-step of collecting raw real-time parameter values, a second sub-step of performing calculation by the identifier and the control target reference model, a third sub-step of calculating ?C and Mc. The present disclosure can realize the self-learning collaborative control of active steering and yaw moment without requiring a system control model and correct a driver's steering operation.

Abstract: A method and an electronic device with image data generating are disclosed. The electronic device includes: one or more processors; and memory storing instructions configured to cause the one or more processors to: input an input image to a target model that performs segmenting on the input image to generate a segmented image whose pixels have respective class labels predicted by the target model, calculate an optimization value for the input image based on the segmented image and based on a class label of a first grid area among a plurality of grid areas of a guide image, and optimize the input image based on the optimization value.

Abstract: Using labelled training content, a content classification model is trained. Using the trained content classification model, a label describing a first content is determined. The first content is classified into a category in a set of categories using the label. Responsive to the first content being classified into a category of inappropriate content, the first content is removed from a storage location.

Abstract: Embodiments of the present invention provide isolated proteins comprising antigen binding domains that bind kallikrein related peptidase 2 (hK2), including monospecific and bispecific antibodies. Additional embodiments of the invention provide polynucleotides encoding the hk2-specific proteins, vectors, host cells, and methods of making and using them.

Abstract: A method for predicting a size range of a lost circulation channel based on deep learning (DL) is provided. The method includes the following steps: S1: acquiring data of the lost circulation channel, and establishing a prediction dataset of the size range of the lost circulation channel; S2: preprocessing the prediction dataset of the size range of the lost circulation channel, and determining the size range of the lost circulation channel; S3: establishing a prediction model for the size range of the lost circulation channel; and S4: optimizing the prediction model for the size range of the lost circulation channel, and predicting the size range of the lost circulation channel. The method overcomes the shortcomings of conventional methods, for example, the prediction value of the size of the downhole lost circulation channel is single, inaccurate and not real-time.

Abstract: A method for contrastive learning by selecting dropout ratios and locations based on reinforcement learning includes receiving training data having a positive sample corresponding to a target and negative samples not corresponding to the target. A dropout policy for a neural network is produced based on the training data, where the dropout policy identifies at least one connection between neurons in the neural network to dropout. The training data is encoded, based on the dropout policy, to form embeddings, where the embeddings include multiple positive sample embeddings corresponding to the positive sample and multiple negative sample embedding corresponding to the negative samples.

Abstract: The present application provides a method for analyzing droplets on the basis of volume distribution including obtaining a total volume V of a sample containing target molecules based on a system prepared using the sample. The system is emulsified into droplets. A droplet system is obtained when the droplets obtaining the sample executes an amplification reaction. A droplet image of the droplet system is obtained. A total number n of droplets included in the droplet system is obtained based on the droplet image. A droplet volume distribution of the droplet system is obtained based on the droplet image. A number j of negative droplets among the n droplets is counted. A quantitative analysis is performed for the target molecules according to the total volume V of the sample, the total number n of droplets, the droplet volume distribution information, and the number j of negative droplets.

Abstract: A pyram-shaped deep-sea pressure-resistance shell and a design method therefor. The shell comprises a conical shell, an annular combined shell, a cylindrical shell, a flange bolt, and a perforated thick plate; a bottom end of the conical shell is connected with a top end of the annular combined shell, the conical shell being in communication with an interior part of the annular combined shell; the perforated thick plate blocks the bottom end of the annular combined shell, the perforated thick plate and the annular combined shell being connected by means of multiple flange bolts; the cylindrical shell is disposed inside the annular combined shell, a lower end of the cylindrical shell being inserted in a gap between the annular combined shell and the perforated thick plate.

Abstract: The present invention relates to the technical field of catalyst preparation, disclosing a preparation method and application of a coated vanadium-tungsten-titanium oxide monolithic SCR catalyst. The method includes the steps of mixing a vanadium oxide precursor, a tungsten oxide precursor, titanium dioxide, an inorganic adhesive, an organic adhesive and a macromolecular surfactant with deionized water and stirring them to obtain a thick liquid; adding a pH adjuster to the thick liquid to make its pH 1.5-4.5; impregnating a cordierite honeycomb carrier in the thick liquid to obtain a preliminarily-impregnated catalyst and dried and calcined the preliminarily-impregnated catalyst to obtain a finished catalyst. The method has advantages such as simple operation, easy repetition and short time-consuming, so it can be applied to exhaust gas post-treatment of a marine diesel engine, and provide a good choice for catalysts used to denitrify medium and high temperature exhausted gas from marine engines.

Abstract: Techniques are described with respect to a system, method, and computer product for enhancement of socialization between one or more individuals wearing personal protective equipment. An associated method includes identifying a plurality of social communications between one or more individuals wearing personal protective equipment (PPE) and assigning an identifier to a participant associated with at least one of the social communications. The method further includes analyzing content of the at least one social communication and generating an augmented reality (AR) based representation of the content for presentation on an augmented reality device associated with the user, the augmented reality device presenting the content for visualization replacing PPE based at least in-part on the identifier.

Abstract: The present disclosure provides an isolated recombinant oncolytic adenovirus, a pharmaceutical composition, and uses thereof for drugs for treatment of tumors and/or cancers. The recombinant oncolytic adenovirus is a selectively replicating oncolytic adenovirus, and the genome of the recombinant oncolytic adenovirus is integrated with a coding sequence of exogenous shRNA capable of inhibiting PDL1 expression in tumor cells. The replication capability of the virus in normal primary cells is much lower than the replication capability of the virus in tumor cells. Moreover, the expressed shPDL1 can significantly reduce the level of PDL1 protein highly expressed in tumor cells. Thus, the oncolytic killing effect of the oncolytic virus and the anti-tumor immunostimulatory effect of immune cells produce a synergistic effect.

Abstract: The concepts include a user support system in the form of a microphone, a visual display arranged in a vehicle cabin, and a controller. The controller includes an instruction set that is executable to receive, via the microphone, a voice-based request from a user, and employ a virtual assistant to determine a user interaction in real time and to determine a specific intent for the voice-based request, including capturing metadata. A user interaction routine determines a user interaction parameter associated with the virtual assistant based upon the voice-based request from the user. A user sentiment analysis routine determines a user satisfaction parameter associated with the virtual assistant based upon the voice-based request from the user. The controller responds in real-time to the voice-based request based upon the user satisfaction parameter and the user interaction parameter that are associated with the virtual assistant.

Abstract: MLX1034 is from Polaribacter sp. Q13, and has the amino acid sequence of the 1,3/1,4-xylanase MLX1034 is listed in SEQ ID NO.1; a nucleotide sequence of the gene is listed in SEQ ID NO.2; the 1,3/1,4-xylanase MLX1034 in the invention is capable of efficiently and specifically degrading 1,3/1,4-xylan and producing xylooligosaccharides with DP values above one; in addition, the physical and chemical properties of the 1,3/1,4-xylanase MLX1034 are stable enough to hydrolyze 1,3/1,4-xylan at room temperature; the 1,3/1,4-xylanase MLX1034 is suitable for the industrial production of red algal xylooligosaccharides at low energy costs.

Abstract: An automatic rain response system includes microphones of a vehicle, windshield wipers, and a controller. The microphones generate acoustic signals in response to rain. The controller is configured to receive a local weather condition, extract acoustic features from the acoustic signals, form feature vectors in response to the acoustic features and the local weather condition, classify the feature vectors to determine a current class among multiple classes, activate the windshield the wipers at a high speed in response to the current class being a heavy rain on a windshield class, activate the windshield wipers at a medium speed in response to the current class being a freezing rain on the windshield class, activate the windshield wipers at a low speed in response to the current class being a light rain on the windshield class, and deactivate the windshield wipers in response to the current class being a no rain class.

Abstract: A membrane defect inspection method is for a membrane module set including a plurality of membrane modules connected in parallel under a straight pipe portion of gas detection piping extending in a horizontal direction and communicating with primary spaces in the plurality of membrane modules to which raw water is supplied or secondary spaces. The method includes a gas injection process where gas is injected into spaces opposite to the primary spaces or the secondary spaces communicating with the gas detection piping while the gas detection piping is filled with water, and an echo detection process where an ultrasonic sensor is brought into contact with an end portion of the straight pipe portion of the gas detection piping, and a reflected wave of an ultrasonic wave transmitted from the ultrasonic sensor is detected.

Abstract: A system for scenario context-aware voice assistant auto-activation is provided. The system includes a microphone configured for providing data related to a word or a phrase spoken by a user, an operational device, and a computerized scenario context-aware voice assistant controller. The controller includes programming to recognize the word or the phrase within the data and identify a scenario context of the word or the phrase. The controller further includes programming to utilize the scenario context to associate the word or the phrase with a scenario context feature trigger configured for indicating a desired command of the user and command the operational device based upon the scenario context feature trigger associated with the word or the phrase.

Abstract: The invention provides a device and method for calibrating a lens distortion center. The device includes a rotating frame, a first driving mechanism and a second driving mechanism. The first driving mechanism is connected with the rotating frame for driving the rotating frame to rotate. A calibration plate is arranged in the rotating frame and connected with the rotating frame through a rotating shaft. The second driving mechanism is connected with the calibration plate for driving the calibration plate to rotate relative to the rotating frame, and a lens placement platform is provided at a front end of the calibration plate. The device of the invention can adjust the relative position between the calibration plate and the lens through the cooperation of the first driving mechanism with the second driving mechanism, so that a lens can acquire different images to achieve calibration of lens distortion.

Abstract: The present disclosure relates to the technical field of medicines, and in particular, to a composite scaffold material, a preparation method therefor and use thereof. The present disclosure provides a composite scaffold material, including a charged fiber framework material. The fiber framework material is coated with positively charged biocompatible materials and negatively charged biocompatible materials alternately, by means of electrostatic attraction. The composite scaffold material of the present disclosure overcomes the defects of traditional scaffold materials, such as poor hydrophilicity, biocompatibility, histiocyte adhesion ability, and biological induction activity. The composite scaffold material has better applicability when used for tissue adhesion, closure, leaking stoppage, hemostasis, isolation, repair, and adhesion prevention, and can also be used for preparing a drug carrier (e.g., sustained release carrier) and a tissue engineering scaffold material.