Abstract: Provided is a chimeric antigen receptor, comprising an antigen binding region, a transmembrane domain and an intracellular signaling region. The antigen binding region comprises an antibody specifically targeting CD7, and the intracellular signaling region consists of a co-stimulatory domain, a primary signal transduction domain, and a ?C chain or intracellular region thereof. Also provided are an engineered immune cell comprising the chimeric antigen receptor and a pharmaceutical composition thereof, and use of the engineered immune cell/pharmaceutical composition for treating cancers.

Abstract: A grafted polypropylene resin is prepared by a grafting reaction of a polar monomer capable of absorbing microwave so as to raise its temperature in a microwave field to more than 200° C. and a solid polypropylene resin using microwave irradiation without adding an initiator. The polar grafted polypropylene resin that does not contain initiator residues and does not have a significant reduction in molecular mass compared with a resin before grafting is obtained.

Abstract: A continuous operation method is employed for the microwave high-temperature pyrolysis of a solid material containing an organic matter. The method includes the steps of mixing a solid material containing an organic matter with a liquid organic medium; transferring the obtained mixture to a microwave field; and in the microwave field, continuously contacting the mixture with a strong wave absorption material in an inert atmosphere or in vacuum. The strong wave absorption material continuously generates a high temperature under a microwave such that the solid material containing an organic matter and the liquid organic medium are continuously pyrolyzed to implement a continuous operation.

Abstract: An image sensor structure includes a semiconductor substrate; an interconnection layer on the semiconductor substrate; nano-pillar structures, each including a first doped layer, a second doped layer and a third doped layer stacked in sequence; conductive structures, respectively electrically connected to the first doped layer and the interconnection layer, the second doped layer and the interconnection layer, and the third doped layer and the interconnection layer; a first insulating layer on the interconnection layer and wrapping the nano-pillar structures and the conductive structures, wherein the first doping layer is exposed on the first insulating layer; a transparent barrier layer on the first insulating layer; and a photoelectric thin film structure on the first insulating layer and electrically connected to the interconnection layer. The photoelectric thin film structure includes photoconductive film portions.

Abstract: The present invention provides an image sensor, the image sensor includes a substrate, a first circuit layer on the substrate, at least one nanowire photodiode located on the first circuit layer and electrically connected with the first circuit layer, wherein the nanowire photodiode comprises a lower material layer and an upper material layer, and a P-N junction or a Schottky junction is arranged between the lower material layer and the upper material layer, wherein the lower material layer comprises a perovskite material, and a precursor layer located under the lower material layer, wherein the precursor layer comprises different metal elements as the lower material layer

Abstract: Provided are a recombinant classical swine fever virus comprising at least one substitution within the epitope of the E2 protein specifically recognized by the 6B8 monoclonal antibody, an immunogenic composition comprising said CSFV, the use of said immunogenic composition for preventing and/or treating diseases associated with CSFV in an animal, a method or a kit for differentiating animals infected with CSFV from animals vaccinated with said immunogenic composition, and an attenuated classical swine fever viruses.

Abstract: The invention provides an image sensor, the image sensor includes a substrate, a first circuit layer located on the substrate, and at least one nanowire photodiode located on the first circuit layer and electrically connected to the first circuit layer, the nanowire photodiode comprises a lower material layer and an upper material layer with a P-N junction between the lower material layer and the upper material layer, the lower material layer includes perovskite material.

Abstract: A method for forming a photosensitive device includes the steps of providing an integrated circuit structure having a first pad and a second pad exposed from a surface of the integrated circuit structure, forming a first material layer on the surface of the integrated circuit structure, patterning the first material layer to expose the second pad, forming a second material layer on the first material layer and covering the second pad, and patterning the second material.

Abstract: A photosensitive device is disclosed, including an integrated circuit structure, a first pad and a second pad exposed from a surface of the integrated circuit structure, a first material layer disposed on the surface of the integrated circuit structure and covering the first pad, and a second material layer disposed on the first material layer and covering the second pad. The first material layer and the second material layer form a heterojunction photodiode.

Abstract: A photosensitive device is disclosed, including an integrated circuit structure, a first pad and a second pad exposed from a surface of the integrated circuit structure, a first material layer disposed on the surface of the integrated circuit structure and covering the first pad, and a second material layer disposed on the first material layer and covering the second pad. The first material layer and the second material layer form a photodiode.

Abstract: Disclosed are a dense optical flow calculation system and method based on an FPGA (Field Programmable Gate Array). The system comprises a software system deployed on a host and a dense optical flow calculation module deployed on the FPGA. Pixel information of two continuous frames of pictures is obtained from a host end in the system, and optical flow is obtained by calculation by means of the steps such as smoothing processing, polynomial expansion, intermediate variable calculation, optical flow calculation. An image pyramid and iterative optical flow calculation can be achieved by repeatedly calling a calculation core module in the FPGA; a final calculation result is returned to the host end.

Abstract: An image sensor structure including a substrate, a nanowire structure, a first conductive line, a second conductive line, and a third conductive line is provided. The nanowire structure includes a first doped layer, a second doped layer, a third doped layer, and a fourth doped layer sequentially stacked on the substrate. The first doped layer and the third doped layer have a first conductive type. The second doped layer and the fourth doped layer have a second conductive type. The first conductive line is connected to a sidewall of the second doped layer. The second conductive line is connected to a sidewall of the third doped layer. The third conductive line is connected to the fourth doped layer.

Abstract: A DRGs automatic grouping method based on convolutional neural network, including: collecting case data and grouping according to a major diagnostic broad categories and core diagnosis-related grouping method; performing numerical coding to the data; constructing a shallow convolutional neural network model, using a k-means clustering method to cluster the feature vectors extracted from the convolutional network to obtain k category labels, combining the category labels and classifier to supervise the network performing iterative training; after finishing training the model, perform data grouping application. The method of the present disclosure is used to avoid the disadvantages of manual feature selection and additional data labeling for adding new grouping categories, automatic learning grouping can be performed for data with vague and difficult groupings.

Abstract: A chronic disease prediction system based on a multi-task learning model. The system includes a computer memory, a computer processor and a computer program which is stored in the computer memory and executable on the computer processor, wherein a trained chronic disease prediction model is stored in the computer memory, and the chronic disease prediction model is composed of a shared layer convolutional neural network and a plurality of chronic disease branch networks; and when executing the computer program, the computer processor implements the following steps: preprocessing a to-be-predicted physical examination record and then inputting the record into the shared layer convolutional neural network of the chronic disease prediction model for feature extraction to obtain a feature map, and inputting the obtained feature map into each chronic disease branch network and performing feature extraction and prediction respectively to obtain a chronic disease prediction result.

Abstract: The invention provides an image sensor, the image sensor includes a substrate, a first circuit layer located on the substrate, and at least one nanowire photodiode located on the first circuit layer and electrically connected to the first circuit layer, the nanowire photodiode comprises a lower material layer and an upper material layer with a P-N junction between the lower material layer and the upper material layer, the lower material layer includes perovskite material.

Abstract: A photosensitive device is disclosed, including an integrated circuit structure, a first pad and a second pad exposed from a surface of the integrated circuit structure, a first material layer disposed on the surface of the integrated circuit structure and covering the first pad, and a second material layer disposed on the first material layer and covering the second pad. The first material layer and the second material layer form a photodiode.