Abstract: The present disclosure relates to compositions and methods for enhancing T cell response and/or CAR cell expansion and/or maintenance in vivo and/or in vitro. For example, a method of enhancing T cell-based therapy comprises administering genetically modified T cells comprising a first chimeric antigen receptor (CAR) and a second CAR, wherein a binding domain of the first CAR binds a first antigen, and a binding domain of the second CAR binds a second antigen. The first antigen is different from the second antigen. In embodiments, the first CAR binds a surface molecule or antigen of a white blood cell.

Abstract: The present disclosure relates to compositions and methods for compositions, methods, and kits for treating cancer using chimeric antigen receptor (CAR) modified cells. Some embodiments of the present disclosure relate to an isolated nucleic acid sequence encoding CAR. The CAR may include an antigen binding domain, a transmembrane domain, a costimulatory signaling region, and a CD3 zeta signaling domain. The antigen binding domain may bind to an antigen of a non-essential organ.

Abstract: A method and device for processing promotion information and a system are provided. The method includes that: agreement information and exposure requirements of all promotion information within a preset period are acquired (101); directional delivered targets are determined according to the agreement information and the exposure requirements, and the directional delivered targets are split into multiple non-intersected delivered target sets (102); the promotion information is delivered to users corresponding to the corresponding delivered target sets according to the exposure requirements (103); statistics about social propagation amounts of to the delivered promotion information is made in real time in a delivery process (104); and exposure parameters are corrected according to the social propagation amounts (105), so that delivery of the promotion information is regulated in real time. By the method, the effectiveness and accuracy of delivering the promotion information may be improved.

Abstract: Embodiments relate to compositions and methods for treating solid tumors. For example, the compositions comprise modified cells comprising an isolated polynucleotide comprising a polynucleotide encoding a nuclear factor of activated T cells (NFAT) promoter operatively associated with a polynucleotide encoding FLT3L.

Abstract: The present disclosure relates to a modified cell comprising a polynucleotide encoding a secretable scFv binding SIGLEC-15 and/or encoding a dominant negative form of CD44. In embodiments, the modified cell further comprises an antigen-binding molecule, which for example, is a CAR comprising an antigen-binding domain, a transmembrane domain, and an intracellular signaling domain.

Abstract: An electrochemical acrylonitrile sensor comprises a housing, an electrolyte disposed within the housing, and a plurality of electrodes in contact with the electrolyte within the housing. The plurality of electrodes comprises a working electrode and a counter electrode. The electrodes comprise a catalytic material, which may comprise gold. A potential is applied between the counter electrode and the working electrode.

Abstract: The present disclosure relates to compositions and methods for compositions, methods, and kits for treating cancer using chimeric antigen receptor (CAR) modified cells. Some embodiments of the present disclosure relate to an isolated nucleic acid sequence encoding CAR. The CAR may include an antigen binding domain, a transmembrane domain, a costimulatory signaling region, and a CD3 zeta signaling domain. The antigen binding domain may bind to an antigen of a non-essential organ.

Abstract: In one embodiment, a computing system may receive current eye-tracking data associated with a user of a head-mounted display. The system may dynamically adjust a focal length of the head-mounted display based on the current eye-tracking data. The system may generate an in-focus image of a scene and a corresponding depth map of the scene. The system may generate a circle-of-confusion map for the scene based on the depth map. The circle-of-confusion map encodes a desired focal surface in the scene. The system may generate, using a machine-learning model, an output image with a synthesized defocus-blur effect by processing the in-focus image, the corresponding depth map, and the circle-of-confusion map of the scene. The system may display the output image with the synthesized defocus-blur effect to the user via the head-mounted display having the adjusted focal length.

Abstract: A method and a device for selecting data content to be pushed to a terminal are disclosed. In some embodiments, the method includes: acquiring a user identifier, and acquiring a characteristic value, corresponding to the user identifier, in a preset user attribute type; acquiring data content, and searching for a decision tree object corresponding to the data content; locating a leaf node corresponding to the user identifier in the decision tree object based on the characteristic value, corresponding to the user identifier, in the preset user attribute type; and acquiring the number of clicks and the number of pushes stored in the located leaf node, generating a selection reference value based on the number of clicks and the number of pushes, and selecting, based on the selection reference value, data content to be pushed to a terminal corresponding to the user identifier.

Abstract: Embodiments relate to a modified cell comprising a chimeric antigen receptor (CAR) and a dominant negative form of PD-1, wherein the dominant negative form of PD-1 lacks a functional PD-1 intracellular domain for PD-1/PD-L1 signal transduction, and the CAR comprises an antigen binding domain, a transmembrane domain, a co-stimulatory domain, and a CD3 zeta domain. The dominant negative form of PD-1 is regulated by an inducible gene expression system.

Abstract: Embodiments relate generally to systems and methods for operating an electrochemical oxygen sensor at low relative humidity (i.e., 15% RH or less). A method may comprise operating an electrochemical sensor to detect oxygen in the field, wherein the electrochemical sensor comprises one or more electrodes and an electrolyte configured to electrically connect the one or more electrodes with an initial concentration of approximately 8 M sulfuric acid; and maintaining the sensor accuracy during the operation of the sensor to detect oxygen in the field, wherein the relative humidity of the environment is approximately 15% or less, without recalibrating the sensor using a source of nitrogen.

Abstract: A pattern mining method includes obtaining, according to each of transactions comprised in a transactional database, a candidate pattern set satisfying a condition, each of the transactions comprising at least one item, each of candidate patterns in the candidate pattern set comprising one or more items in an itemset, calculating a utility of a respective one of the candidate patterns in each of the transactions, determining, among the transactions, at least one target transaction in which the utility reaches a specified utility threshold, determining a target period value of a target candidate pattern corresponding to the at least one target transaction, according to a target time attribute of each of the at least one target transaction, and determining the target candidate pattern as a mining result, based on the target period value of the target candidate pattern being less than or equal to a period threshold.

Abstract: In one embodiment, a system may access a training sample from a training dataset, including a training image of a scene and a corresponding depth map. The system may access a circle-of-confusion map for the scene, which is generated based on the depth map and encodes a desired focal surface in the scene. The system may generate an output image by processing the training image, the corresponding depth map, and the corresponding circle-of-confusion map using a machine-learning model. The system may update the machine-learning model based on a comparison between the generated output image and a target image depicting the scene with a desired defocus-blur effect. The updated machine-learning model is configured to generate images with defocus-blur effect based on input images and corresponding depth maps.

Abstract: A deduplication processing method is provided. A storage device includes a plurality of memories and each memory includes at least one physical block. Parameter information of an initial memory representing any one of the plurality of memories in the storage device is obtained. The parameter information includes at least one of a weight of the at least one physical block in the initial memory or a space usage of the initial memory, and the weight of the at least one physical block corresponding to a next write time point of the at least one physical block. A deduplication weight of the initial memory according to the parameter information of the initial memory is obtained. A target memory having a largest deduplication weight from initial memories is selected and deduplication processing on the at least one physical block of the target memory is performed.

Abstract: Embodiments relate to a modified T cell comprising an antigen binding molecule, wherein expression and/or function of CDC42 in the modified cell has been enhanced. In embodiments, the modified cell has an increased level of cytokine release in response to an antigen that the antigen binding molecule binds as compared to a corresponding T cell that does not overexpress CDC42. In embodiments, the cytokine release comprises a cytokine release of IFN?. In embodiments, the modified cell has an enhanced migration capability in response to a chemokine as compared to a corresponding T cell that does not overexpress CDC42.

Abstract: A method is implemented in a digital unit connected with a plurality of distributed antennas including a first antenna, a second antenna and a third antenna. The method comprises: causing transmitting a first signal from the first antenna, a second signal from the second antenna, and a third signal from the third antenna in a same frequency resource; obtaining a receiver and transmitter side loop-back phase difference between the first antenna and the second antenna based on the first signal received at the third antenna, the second signal received at the third antenna, the third signal received at the first antenna, and the third signal received at the second antenna; and obtaining estimations of a time delay difference and an initial phase difference between the first and second antennas based on the obtained loop-back phase difference.

Abstract: In one embodiment, a system may access a training sample from a training dataset. The training sample may include a training image of a scene and a corresponding depth map of the scene. The system may generate a plurality of decomposition images by processing the training image and the corresponding depth map using a machine-learning model. The system may generate a focal stack based on the plurality of decomposition images and update the machine-learning model based on a comparison between the generated focal stack and a target focal stack associated with the training sample. The updated machine-learning model is configured to generate decomposition images with defocus-blur effect based on input images and corresponding depth maps.

Abstract: Compositions and methods for enhancing T cell response which increases the efficacy of CAR T cell therapy for treating cancer are described. Embodiments include a modified cell comprising an isolated nucleic acid comprising a first nucleic acid and a second nucleic acid, the first nucleic acid encoding a chimeric antigen receptor (CAR), the second nucleic acid encoding a therapeutic agent comprising at least one of IFN-?, IL-2, IL-6, IL-7, IL-15, IL-17, and IL-23. The modified cell expresses and secretes the therapeutic agent.

Abstract: The present disclosure relates to compositions and methods for compositions, methods, and kits for treating cancer using chimeric antigen receptor (CAR) modified cells. Some embodiments of the present disclosure relate to an isolated nucleic acid sequence encoding CAR. The CAR may include an antigen binding domain, a transmembrane domain, a costimulatory signaling region, and a CD3 zeta signaling domain. The antigen binding domain may bind to an antigen of a non-essential organ.

Abstract: Apparatus and associated methods relate to a one-piece structure for a solid electrolyte chemical sensor (SECS) having a first surface defining a cavity (210, 305, 415) designed to receive a substrate (215, 350, 410) that retains a solid electrolyte (365, 440), an internal water impermeable coating (425) on at least a portion of the first surface, a second surface that is substantially coplanar with an adjacent peripheral edge of a top surface of the substrate (215, 350, 410) when the substrate (215, 350, 410) is received in the cavity (210, 305, 415), and a plurality of electrical contacts (335, 340, 345, 450a-450b) disposed on the second surface adapted to electrically couple with the electrodes (435a-435c) on the substrate (215, 350, 410) when the substrate (215, 350, 410) is received in the cavity (210, 305, 415) and electrical paths are provided between respective electrical contacts (335, 340, 345, 450a-450b) and electrodes (435a-435c).