Abstract: The present application relates to an anti-CD47 single-domain antibody and a use thereof, and a method for preparing the antibody. The single-domain antibody comprises a CDR selected from the following CDRs: (1) CDR1, CDR2, and CDR3 shown by SEQ ID NO: 1, SEQ ID NO: 2, and SEQ ID NO:3; or (2) CDR1, CDR2, and CDR3 shown by SEQ ID NO: 6, SEQ ID NO: 7, and SEQ ID NO: 8.

Abstract: A magnetic polymer adsorption material, preparation method and use thereof, which relate to the field of magnetic polymer materials. The preparation method comprises: (1) preparing magnetic nanoparticles; (2) dissolving the magnetic nanoparticles in a pore-forming agent, adding N-vinylpyrrolidone, divinylbenzene and an initiator respectively, and mixing uniformly; (3) adding an emulsifier and a dispersant into an aqueous solution; adding a part of the oil phase solution prepared in step (2) at the temperature below 60° C., and adding the rest of the oil phase solution when the temperature rises to 60° C. or above, reacting with stirring, precipitating and filtering the reacted solution, washing and drying the precipitate, and finally obtaining the magnetic polymer adsorption material. The material has the particle size of 2-100 ?m, the magnetization of 5-19.

Abstract: A battery pack is provided, including at least one layer of battery cells in a height direction thereof. Each layer of battery cells includes either or both of a plurality of rows and a plurality of columns of battery cells. The battery cells in each row are arranged end-to-end in a length direction of the battery pack. The rows are arranged in a width direction of the battery pack. At least a part of the battery cells in each row are staggered with corresponding battery cells in an immediately adjacent row of battery cells. The battery cells in each column are arranged end-to-end in the width direction of the battery pack. The columns are arranged in the length direction of the battery pack. At least a part of the battery cells in each column are staggered with corresponding battery cells in an immediately adjacent column of battery cells.

Abstract: Aspects include applying a patch to a first instance of software code and verifying that the first instance of the software code with the patch applied is operating as expected. The verifying includes sending a request to the first instance of the software code and sending the request to a second instance of the software code where the patch was previously applied. The verifying also includes comparing a first result received from the first instance of the software code in response to the request and a second result received from the second instance of the software code in response to the request. The verifying further includes determining that the first instance of the software code with the patch applied is operating as expected based on the first result being within a similarity threshold of the second result.

Abstract: Shared materialized views are maintained during data changes to the primary data and during creation of new materialized views. Shared data stored for use by shared materialized views is distinguished from data stored by an independent materialized view. A view selector manages data updates to shared materialized views and corresponding mapping table. The view selector directs movement of data between a shared materialized view and an independent materialized view through the lifecycle of the materialized views.

Abstract: In an approach, a processor obtains an encrypted data key and a first encrypted protection key from a storage device. A processor sends the first encrypted protection key to a first device. A processor obtains a protection key from the first device, wherein the protection key is generated by the first device through decrypting the first encrypted protection key. A processor decrypts the encrypted data key using the protection key to obtain a data key.

Abstract: The present disclosure discloses a time synchronous hybrid analog and digital sensor data acquisition system and method, comprising analog sensors, digital modules, digital sensors, hubs for networking a plurality of heterogeneous sensors, a local-area network device and a data processing terminal. The present disclosure solves the problem that data cannot be compared due to time difference in acquisition for the reason that the sampling time of different sensors cannot be synchronized precisely in the existing experiments and practical engineering, and also solves the problems of single function, low integration level and manpower consumption when different sensor instruments work separately. The data acquisition system of the present disclosure can be directly connected to various heterogeneous sensors to realize synchronous acquisition, synchronous transmission and simple and fast operation.

Abstract: A model management system adaptively refines a training dataset for more effective visual inspection. The system trains a machine learning model using the initial training dataset and sends the trained model to a client for deployment. The deployment process generates outputs that are sent back to the system. The system determines that performance of predictions for noisy data points are inadequate and determines a cause of failure based on a mapping of the noisy data point to a distribution generated for the training dataset across multiple dimensions. The system determines a cause of failure based on an attribute of the noisy datapoint that deviates from the distribution of the training dataset and performs refinement towards the training dataset based on the identified cause of failure. The system retrains the machine learning model with the refined training dataset and sends the retrained machine learning model back to the client for re-deployment.

Abstract: An arrangement of battery cells in a battery pack for an electric vehicle is provided. In the arrangement of battery cells, the battery cells are fixed in a housing of the battery pack and inclined with respect to a bottom face and/or a lateral face of the housing of the battery pack.

Abstract: Systems and methods are disclosed herein for creating a visual guide for developing training data for a classification of image, where the training data includes images tagged with labels for the classification of the images. A processor may prompt a user to define a framework for the classification. For an initial set of images within the training data, qualified human classifiers are prompted to locate the images within the framework and to tag the images with labels. The processor determines whether the tagged images have consistent labels, and, if so, the processor adds images to the training data. The processor may add the images by providing a visual guide, the visual guide including tagged images arranged according to their locations within the framework their labels, and prompting human classifiers to tag the additional images with labels for the classification, according to the visual guide.

Abstract: The disclosure provides methods for selecting patient sub-populations, or subjects, with inflammatory conditions such as inflammatory bowel diseases that are amenable to treatment with anti-Interleukin-23 therapy by measuring the serum levels of Interleukin-22 Binding Protein and/or the serum levels of Interferon-?. In addition, the methods are useful in identifying sub-populations of patients with inflammatory disorders, such as psoriasis, psoriatic arthritis, rheumatoid arthritis, ankylosing spondylitis that are amenable to treatment with an anti-IL-23 therapy and/or an anti-IFN-? therapy.

Abstract: Disclosed is a method for predicting collision severity, including: establishing a first learning model, and inputting vehicle data and collision accident scene feature data into the first learning model; obtaining a predicted collision acceleration curve outputted by the first learning model, the predicted collision acceleration curve being established based on a plane rectangular coordinate system; establishing a second learning model, and inputting the predicted collision acceleration curve, the occupant feature data and the restraint system feature data into the second learning model; obtaining a plurality of predicted collision kinematics and dynamics curves of human body parts outputted by the second learning model; generating a collision severity parameter according to the plurality of predicted collision kinematics and dynamics curves of the human body parts, the collision severity parameter being configured to evaluate the collision severity.

Abstract: In an approach to optimizing metadata management to boost overall system performance, a cache for a storage system is initialized. Responsive to receiving a cache hit from a host cache during a host I/O operation, a first metadata of a plurality of metadata is transferred to a storage cache, where the first metadata is associated with a user data from the host I/O operation, and further wherein the first metadata is deleted from the host cache. Responsive to determining that the storage cache is full, a second metadata of the plurality of metadata is destaged from the storage cache, where the second metadata is destaged by moving the second metadata to the host cache, and further wherein the second metadata is deleted from the storage cache.

Abstract: A method of plugging a filter, comprising: positioning a mask layer over the filter comprising a plurality of intersecting walls, wherein the intersecting walls define at least one channel between the intersecting walls; perforating the mask layer proximate the channel to form a hole, wherein the hole extends around a portion of a perimeter of the channel such that the mask layer defines a flap extending over a center of the channel; passing a plugging mixture into the channel through the hole in the mask layer; and sintering the plugging mixture to form a plug within the channel.

Abstract: This invention discloses an ecological culture method for fish that contains marine barracuda, which places the marine barracuda fry in natural seawater, uses circulating water to dilute the natural sea water step by step, and domesticates the marine barracuda with fresh water; when the salinity of the water body is reduced to 3‰, transferring the fry to the fish culturing pond, and then the freshwater species are introduced, and the ecological culturing and ecological poly-culture model is carried out; during the culturing period, checking the growth of barracuda, adjusting the feeding and/or feeding times, and therefore barracuda reaches the required specifications within the expected time to be on the market.

Abstract: The present disclosure discloses a time synchronous hybrid analog and digital sensor data acquisition system and method, comprising analog sensors, digital modules, digital sensors, hubs for networking a plurality of heterogeneous sensors, a local-area network device and a data processing terminal. The present disclosure solves the problem that data cannot be compared due to time difference in acquisition for the reason that the sampling time of different sensors cannot be synchronized precisely in the existing experiments and practical engineering, and also solves the problems of single function, low integration level and manpower consumption when different sensor instruments work separately. The data acquisition system of the present disclosure can be directly connected to various heterogeneous sensors to realize synchronous acquisition, synchronous transmission and simple and fast operation.

Abstract: A process and a system for creating a visual guide for developing training data for a classification of image, where the training data includes images tagged with labels for the classification of the images. A processor may prompt a user to define a framework for the classification. For an initial set of images within the training data, qualified human classifiers are prompted to locate the images within the framework and to tag the images with labels. The processor determines whether the tagged images have consistent labels, and, if so, the processor adds images to the training data. The processor may add the images by providing a visual guide, the visual guide including tagged images arranged according to their locations within the framework their labels, and prompting human classifiers to tag the additional images with labels for the classification, according to the visual guide.

Abstract: An automatic depalletizing system comprises a robot including a gripper adapted to grip a logistics box and to unload logistics boxes stacked on a pallet. The system further includes a three-dimensional camera adapted to identify a position and an orientation of the logistics boxes so as to guide the robot to unload the logistics boxes from the pallet in a sequential manner.

Abstract: Disclosed is a composite functional resin, having the basic structure of Formula (I) and/or Formula (II), wherein AX is a quaternary ammonium group. In view of the problems that the existing resins have poor anti-interference ability, and poor ability to remove dissolved organic matter, disinfection by-product precursors, and anions such as nitrate, sulfate, phosphate and arsenate in water while sterilizing, the composite functional resin of the present invention has the ability to efficiently remove dissolved organic matter, disinfection by-product precursors, and anions such as nitrate, sulfate, phosphate, and arsenate in water, and has the advantages of efficient sterilization and high anti-interference ability. The composite functional resin can be applied in sterilization and water treatment.