Abstract: Disclosed are an optical anti-counterfeiting element and an anti-counterfeiting product. The optical anti-counterfeiting element includes a substrate; and a sampling layer formed on a first surface of the substrate, wherein the sampling layer is a sampling unit array composed of sampling units distributed according to a preset graphic-text information, the sampling unit array is aligned, in a preset manner, with a light-emitting pixel array positioned on a second surface side of the substrate and composed of light-emitting pixels, and the sampling unit array is configured for sampling the light-emitting pixel array, so as to show the preset graphic-text information of a single color or comprehensive colors of a plurality of colors among colors of the light-emitting pixels, wherein the light-emitting pixels of the single color or the comprehensive colors of the plurality of colors show a moire magnification effect.

Abstract: A method for determining flow velocity distribution in the roughness sublayer is provided, which uses the experimental device that includes a variable-slope circulating flume system and a flow-measuring system, the variable-slope circulating flume system is used to study flow in the roughness sublayer, and the flow-measuring system is used to measure flow velocity in each zone in the flume. In the variable-slope circulating flume, the method according to the invention uses cylindrical aluminum rods to simulate large-scale roughness elements, and the submergence, the average bulk flow velocity and the distribution density of roughness elements are changed.

Abstract: A system includes a cloud computing system having a server, and a user environment computing system having an edge electronic device and a group of edge side sensors installed on at least one of inside and outside of the edge electronic device, the cloud computing system and the user environment computing system connected via a network line. The user environment computing system transfers a plurality of kinds of detection data collected by the group of edge side sensors to the cloud computing system for learning of an inference model generated by the server. When detection data is newly obtained from one sensor out of the group of edge side sensors and the detection data newly obtained is related to the inference model, the detection data newly obtained is transferred to the server for additional learning of the inference model.

Abstract: An information processing apparatus and a method of controlling the information processing apparatus are provided. The information processing apparatus is operable to install and execute an application for providing an extended function, obtains, from a server, a containerized application linked to a logged-in user or designated by a user and stores the obtained application in a storage. The apparatus weights the application stored in the storage in accordance with a characteristic or a usage state of the application and deletes an application stored in the storage based on the weighting in accordance with a logout of the user.

Abstract: This application discloses compositions and methods of treating follicular lymphoma using CCR7 antibody drug conjugates. Also disclosed herein are methods of treating cancer in a subject in need thereof, comprising administering to said subject an antibody drug conjugate, wherein the cancer expresses CCR7, wherein the antibody drug conjugate is administered to said subject at about 0.1 mg/kg to about 10 mg/kg.

Abstract: The present application relates to a detection structure for fast neutrons and a method for acquiring a neutron energy spectrum, the detection structure for fast neutrons comprises seven semiconductor detection units and a conversion layer made of a hydrogen-containing material, the seven semiconductor detection units comprise a first, a second, a third, a fourth, a fifth, a sixth and a seventh semiconductor detection unit arranged sequentially, the first, the fourth and the seventh semiconductor detection unit constitute an anticoincidence detection group, the second and the third semiconductor detection unit constitute a neutral particle background detection group, the fifth and the sixth semiconductor detection unit constitute a recoil proton detection group, the conversion layer is disposed between the fourth and the fifth semiconductor detection unit, incident neutrons collision with hydrogen atomic nuclei and generate the recoil protons.

Abstract: Provided are a neutralizing antibody, which can specifically bind to NGF, or an antigen-binding fragment thereof, and a preparation method for producing the antibody. Further provided is an application of the antibody in the treatment of NGF-related diseases or disorders, especially in relieving or improving individual pain.

Abstract: Mitoxantrone hydrochloride liposome is a unique active ingredient for preparing drugs for treating breast cancer. The breast cancer is preferably advanced breast cancer. A method for treating the breast cancer includes to administer mitoxantrone hydrochloride liposome in a therapeutic effective amount to breast cancer patients, and the therapeutic effective amount means 8-30 mg/m2, according to mitoxantrone. Clinical trial results show that the mitoxantrone hydrochloride liposome has better efficacy and fewer adverse reactions, and especially significantly reduced cardiotoxicity, compared with a common mitoxantrone hydrochloride injection.

Abstract: A HVAC system and method for determining which fault of a group of faults identifies a likely root cause problem in the system. Some example methods may include a controller identifying the root cause based at least partially on which fault is associated with a HVAC device (e.g., boiler, chiller, VAV valve, etc.) that is farthest upstream along a shared fluid flow path or fluid flow network of the HV AC system. In some examples, the shared fluid flow path or network may be defined in a HVAC model representing the HVAC system. The controller may store the HVAC model and reference it when analyzing a group of faults. The controller may limit the inclusion of faults in a group for analysis to only those faults that occur within a certain period of time of each other.

Abstract: A method for determining flow velocity distribution in the roughness sublayer is provided, which uses the experimental device that includes a variable-slope circulating flume system and a flow-measuring system, the variable-slope circulating flume system is used to study flow in the roughness sublayer, and the flow-measuring system is used to measure flow velocity in each zone in the flume. In the variable-slope circulating flume, the method according to the invention uses cylindrical aluminum rods to simulate large-scale roughness elements, and the submergence, the average bulk flow velocity and the distribution density of roughness elements are changed.

Abstract: Non-human animal models of non-alcoholic fatty liver disease (NAFLD) are provided. Compositions and methods for producing the non-human animal models and uses of the non-human animal models to screen and evaluate agents for treating or preventing NAFLD are also provided.

Abstract: A data processing method is described. The method includes acquiring a to-be-filtered dataset, the to-be-filtered dataset including a plurality of pieces of to-be-filtered source language data; filtering all source language data in the to-be-filtered dataset based on a target data filtering model to obtain target source language data remaining after the filtering, the target data filtering model being obtained through training performed by using a reinforcement learning algorithm; and acquiring markup language data corresponding to the obtained target source language data, and acquiring a machine translation model based on the target source language data and the acquired markup language data. In such a data processing process, a filtering rule in the target data filtering model is automatically learned by a machine in a reinforcement learning process. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also provided.

Abstract: This application discloses a video classification model construction method and apparatus, a video classification method and apparatus, a device, and a medium.

Abstract: Fusion proteins are provided, the fusion proteins comprising a single-chain trimer coupled to an Fc domain of an antibody. Also provided are methods of use thereof.

Abstract: An apparatus includes a volatile first storage and a nonvolatile second storage with a limited number of writes, and the apparatus includes a printer configured to execute printing based on image data, and a controller having one or more processors which execute instructions stored in one or more memories, the controller being configured to acquire information about a number of writes of the second storage, and switch between a first operating mode of storing the image data in the second storage and a second operating mode of storing the image data in the first storage and not storing the image data in the second storage based on the information about the number of writes.

Abstract: A system includes a cloud computing system having a server, and a user environment computing system having an edge electronic device and a group of edge side sensors installed on at least one of inside and outside of the edge electronic device, the cloud computing system and the user environment computing system connected via a network line. The user environment computing system transfers a plurality of kinds of detection data collected by the group of edge side sensors to the cloud computing system for learning of an inference model generated by the server. When detection data is newly obtained from one sensor out of the group of edge side sensors and the detection data newly obtained is related to the inference model, the detection data newly obtained is transferred to the server for additional learning of the inference model.

Abstract: An image recognition method includes: obtaining an image to be segmented, the image including a plurality of extremum points; generating image feature information according to the image, the image feature information including N image matrices and a heat map, and the heat map being generated according to the plurality of extremum points; determining an image segmentation region corresponding to the image feature information through an image segmentation model, the image segmentation model including N matrix input channels and a heat map input channel, the N matrix input channels having a one-to-one correspondence with the N image matrices, and the heat map input channel having a correspondence with the heat map; and generating an image recognition result of the image according to the image segmentation region.

Abstract: The present invention provides an information processing apparatus capable of mounting an optional hardware. The information processing apparatus comprises a processor, an image processing circuit and a socket to which the optional hardware is to be mounted, wherein the optional hardware being connected to the socket communicates with the image processing circuit. The processor transmits a predetermined packet to the optional hardware mounted to the socket, receive a response packet to the predetermined packet from the image processing circuit, determines whether or not the received response packet is an expected response packet, and controls supplying power to the optional hardware in accordance with a determination result of the received response packet.

Abstract: A computer device obtains a to-be-segmented image that includes a plurality of extreme points corresponding to a target object in the to-be-segmented image. The device generates first image feature information according to the to-be-segmented image. The first image feature information includes N image matrices and a first heatmap that is generated according to the extreme points. The device obtains a first image segmentation region corresponding to the first image feature information using a first image segmentation model. The device also obtains a second heatmap according to an annotation point corresponding to the first image segmentation region and the first image segmentation region. The device obtains a second image segmentation region corresponding to the to-be-segmented image using a second image segmentation model. The device generates an image recognition result according to the second image segmentation region.

Abstract: The present invention provides a method for processing a filter to obtain a calibration dust filter, and a method for off-site calibration using the calibration dust filter. In the present invention, a batch of filters that meets specific requirements is screened out as the basal filters, and then the basal filters are processed in an actual environment to obtain the calibration dust filters. The counted number of beta particles is measured before and after sampling, and then a correction factor K is inversely inferred. The beta attenuation suspended particulate analyzer is corrected using the correction factor K.