Abstract: Disclosed are a compound represented by formula (I) as a mutant isocitrate dehydrogenase 1 and 2 (IDH1 and IDH2) inhibitor, a preparation method therefor, and a pharmaceutical composition thereof. Also disclosed is a use of the described compound or the pharmaceutical composition thereof in the treatment of mutant IDH1 and IDH2-mediated diseases.

Abstract: Aspects of the present disclosure provide compositions and methods for detecting, isolating, depleting, and/or purifying cells, including polypeptides, including chimeric polypeptides, useful in such methods. Various chimeric polypeptides are disclosed, along with use of such polypeptides as selection markers, transduction markers, and/or safety switches. Also disclosed are cells, including therapeutic cells such as T cells, NK cells, NKT cells, and iPSCs, comprising polynucleotides encoding one or more chimeric polypeptides.

Abstract: A light source module, including: a housing, with an accommodating cavity disposed in the housing; a light source, located in the accommodating cavity, and configured to emit light; a light source connector, located at a first side of the accommodating cavity, protruding from the housing, and configured to receive the light emitted by the light source and output the light; an optical signal transceiver connector, located at the first side of the accommodating cavity, protruding from the housing, and configured to perform optical signal transmission; and an optical connector adapter, located at a second side of the accommodating cavity, and configured to perform optical signal transmission with the optical signal transceiver connector, where the second side is one side opposite to the first side of the accommodating cavity. Further, provided are a matching socket and an optical signal transmission method.

Abstract: To improve texture, mouthfeel, and/or to prevent or delay protein matrix hardening, meat-replacement food products are manufactured with a high moisture protein texturization method using i) at least one proteinaceous matrix forming ingredient, such as protein isolate or protein concentrate, ii) starch-containing grains that are selected from: ii.a) steeped grains, ii.b) germinated grains, ii.c) malted grains, ii.d) sprouted grains, or ii.e) any combination of two, three or four of these as one of the ingredients, and iii) water or water-containing liquid in the extruder under conditions causing the continuous proteinaceous fibrous matrix structure to contain disruptions, the extrudate including starch located in the disruptions and not emulsified with the proteinaceous fibrous matrix structure.

Abstract: This application discloses an audio data processing method and apparatus, and relates to the field of multimedia technologies. The method includes: obtaining m (m is an integer greater than or equal to 2) audio clips; determining m?1 pieces of transition audio information based on the m audio clips; and generating target medley audio based on the m audio clips and the m 1 pieces of transition audio information. The m?1 pieces of transition audio information are used to splice the m audio clips. First transition audio information in the m?1 pieces of transition audio information is used to splice a first audio clip and a second audio clip that are sorted consecutively in the m audio clips. Sorting of the m audio clips is a medley composition order of the m audio clips.

Abstract: A plant-based proteinaceous binder ingredient that is a disturbed-coagulum can be manufactured with disrupting-coagulation treatment described in the application. The binder ingredient improves the handling properties of intermediate products including textured vegetable proteins manufactured using low-moisture protein texturization extrusion. The resulting end-products (formed meat-replacement food products that are meat imitates) show an improved mouthfeel and are highly resistant to bending and suitable for transport. This is believed to relate to a novel self-encapsulated proteinaceous structure of the binder that is assumed to open when being mixed with a sufficiently high mixing power.

Abstract: A three-dimensional scanning ranging device, including: an optical scanning chip (1), a focusing lens (2), a light receiving element (3) and a microprocessor, wherein the optical scanning chip (1) may be used for sequentially scanning and outputting line-shaped light spots of a plurality of scanning angles onto a to-be-measured object, the focusing lens (2) may be used for sequentially focusing a plurality of light beams reflected from the to-be-measured object under irradiation of the line-shaped light spots, the light receiving element (3) may be used for sequentially receiving the plurality of light beams after being focused by the focusing lens (2) so as to obtain multiple images containing a bright spot, the microprocessor may be used for analyzing, on the basis of a first relationship between the bright spot and a depth of the to-be-measured object at different scanning angles and in different pixel rows, the multiple images containing a bright spot so as to obtain a three-dimensional point cloud of the

Abstract: Disclosed by the present application are an array coherent ranging chip and a system thereof. The chip includes a modulated light source unit (101), an on-chip emission unit (102) and a reception array (103). The modulated light source unit (101) is used for generating a modulated light beam and splitting the modulated light beam into signal light and reference light, and then outputting the signal light and the reference light. The on-chip emission unit (102) is used for irradiating the signal light onto a target object at a preset divergence angle so as to have the signal light reflected to form multi-angle signal light. The reception array (103) is used for receiving the reference light and the multi-angle signal light and respectively performing conversion and detection on both the reference light and the signal light of each angle so as to obtain a plurality of ranging signals.

Abstract: To improve texture, mouthfeel, and/or to prevent or delay protein matrix hardening, meat-replacement food products are manufactured with a high moisture protein texturization method using i) at least one proteinaceous matrix forming ingredient, such as protein isolate or protein concentrate, ii) starch-containing grains that are selected from: ii.a) steeped grains, ii.b) germinated grains, ii.c) malted grains, ii.d) sprouted grains, or ii.e) any combination of two, three or four of these as one of the ingredients, and iii) water or water-containing liquid in the extruder under conditions causing the continuous proteinaceous fibrous matrix structure to contain disruptions, the extrudate including starch located in the disruptions and not emulsified with the proteinaceous fibrous matrix structure.

Abstract: The present disclosure discloses a technical method for treating vitiligo through hair follicle melanocyte stem cell transplantation. The technical method comprises the following steps: extraction of hair follicles; separation of hair follicles; in-vitro culture of hair follicle melanocyte stem cells; inactivation of hair follicles; and transplantation of hair follicle melanocyte stem cells. According to the present disclosure, outer root sheaths of hair follicles containing the hair follicle melanocyte stem cells are obtained through a precise extraction and separation method. Through in-vitro separation and culture and inactivation of hair follicles, a situation that vitiligo only turns black without hairs after surgery is achieved. Through precise transplantation, the original color of the punctate multi-hair follicle orifice can be restored, thereby achieving the purpose of rapidly removing white patches.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Abstract: A method for improving the proteinaceous fibre structure of a textured vegetable protein product, methods of controlling the mouthfeel of a textured protein, and textured vegetable protein products. In the method for improving the proteinaceous fibre structure of a textured vegetable protein product, an extrudate is prepared with an extruder configured to carry out low-moisture protein texturization extrusion, the extrudate including a proteinaceous fibre structure having expansion-related cavities, such as air bubbles, between the proteinaceous fibres; after the extrusion, the extrudate is compressed or compacted in a manner leaving the proteinaceous fibres of the extrudate substantially intact. The compressing or compacting is sustained over a period that causes an irreversible reduction in the size of the expansion-related cavities between the proteinaceous fibres, and preferably also an increase in the bonding between the proteinaceous fibres.

Abstract: Provided herein are CD79b antibodies and CD79b-specific chimeric antigen receptors (CARs). Further provided herein are immune cells expressing the CD79b-specific CARs and methods of treating cancer by administering the CD79b-specific CAR immune cells.

Abstract: The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.

Abstract: Provided are methods for the production of infinite immune cells with an increased lifespan and high proliferation rates by engineering them to express BCL6 and a cell survival-promoting gene. Further provided herein are methods for the production and use of the infinite immune cells for the treatment of diseases, such as cancer.

Abstract: Described is a method of processing data packets in a communications network. The method comprises receiving a first data packet of a data packet flow from a network device and determining an instruction set for processing said first data packet. A flow key for said first data packet is determined. The first data packet is processed according to the determined instruction set. The method includes receiving a subsequent data packet and determining if a flow key of said subsequent data packet matches said flow key of said first data packet. If yes, the subsequent data packet is processed using the instruction set determined for said first data packet.

Abstract: Described is a method of processing data packets in a communications network. The method comprises receiving a first data packet of a data packet flow from a network device and determining an instruction set for processing said first data packet. A flow key for said first data packet is determined. The first data packet is processed according to the determined instruction set. The method includes receiving a subsequent data packet and determining if a flow key of said subsequent data packet matches said flow key of said first data packet. If yes, the subsequent data packet is processed using the instruction set determined for said first data packet.

Abstract: A method for generating a sample image includes: obtaining an initial image size of an initial image; obtaining a plurality of reference images by processing the initial image based on different reference processing modes; obtaining an image to be processed by fusing the plurality of reference images; and determining a target sample image from images to be processed based on the initial image size.

Abstract: A meat replacement product, a method of manufacturing the same, and the use of insoluble washable starch in food products to improve the mouthfeel of a meat replacement product. Improvements to meat replacement products and high moisture protein texturization extrusion are disclosed. By selecting the extrusion parameters and starting materials containing mechanically processed starch-containing grains suitably, the formation of an emulsion between the starch and proteinaceous matrix forming protein melt can be prevented or reduced to such an extent that there exists a substantial amount of starch that is not bound in the protein matrix. The presence of starch not bound in the protein matrix improves mouthfeel and sustains an acceptable mouthfeel for a prolonged period.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.