Abstract: The present application relates to an antibody capable of specifically binding to c-Met or antigen-binding fragment thereof, and an immunoconjugate, a pharmaceutical composition and a kit comprising the same. The present application also relates to use of the antibody or antigen-binding fragment thereof in the preparation of a kit or a drug. The antibody has a relatively high affinity for cells expressing or overexpressing c-Met, and also has some thermal stability. Moreover, the antibody can inhibit the HGF-c-Met signal pathway, thereby causing cancer cells to undergo apoptosis and thus inhibiting the proliferation of cancer cells. The antibody has great potential for application in targeted therapy for tumors.

Abstract: An antibody or an antigen-binding fragment thereof and a single-domain antibody or an antigen-binding fragment thereof that can specifically bind to CTLA4, and an immunoconjugate, a pharmaceutical composition and a multispecific molecule comprising the antibody or the antigen-binding fragment thereof. Furthermore, the present invention also relates to a multispecific molecule that can specifically bind to CCR8 and CTLA4 and the use thereof.

Abstract: A novel silicon-germanium molecular sieve SCM-41, a preparation method thereof, and use thereof are provided. The SCM-41 molecular sieve has a unique X-ray diffraction pattern having peaks of 2 theta values at 8.15°±0.3, 10.06°±0.3, 12.27°±0.3, 15.38°±0.3, 19.29°±0.3, 20.55°±0.3, and 21.64°±0.3. The SCM-41 molecular sieve can be used in adsorption separation and catalytic conversion of organic compounds.

Abstract: A quantitative method for diagnosing an autoimmune disease or an infectious disease comprising performing an automated diagnostic assay, comprising: incubating a capture reagent with a streptavidin-coated medium to form a solid phase complex, wherein the capture reagent is a biotinylated autoantigen or infectious disease antigen; washing the solid phase complex to remove excess capture reagent; incubating the solid phase complex with a serum sample to form an immune complex; washing the immune complex to remove any unbound sample; incubating the immune complex with a conjugate to create an immune-conjugate complex; washing the immune-conjugate complex to remove any unbound conjugate; introducing a substrate capable of generating a quantifiable response; and calibrating the response generated from introducing the substrate.

Abstract: A method includes vertically moving a shelf in a chamber; using a distance sensor, measuring a vertical position of the shelf; determining whether a vertical position of a target stage of the shelf is within an acceptable range; and in response to the vertical position of the target stage is within an acceptable range, moving a wafer onto or away from the target stage.

Abstract: This application relates to an audio signal processing method performed by a computer device. The method includes: obtaining a set of scenario layout parameters corresponding to a current simulated scenario; sampling, at a preset sampling rate, an audio signal emitted by at least one audio source to obtain at least one sample; determining, based on a linear distance, a simulated traveling distance corresponding to each sample; determining a number of simulated reflections based on the simulated traveling distance; determining a reflection coefficient based on an environmental-spatial parameter, and respectively determining, based on the reflection coefficient, the simulated traveling distance, and the number of simulated reflections, a simulated reflection loss corresponding to each audio source; and generating a simulated impulse response under the current simulated scenario based on the simulated reflection loss corresponding to each audio source.

Abstract: A computer-free system and method is disclosed that uses an all-optical image reconstruction method to see through random diffusers at the speed of light. Using deep learning, a set of transmissive layers are trained to all-optically reconstruct images of arbitrary objects that are distorted by random phase diffusers. After the training stage, the resulting diffractive layers are fabricated and form a diffractive optical network that is physically positioned between the unknown object and the image plane to all-optically reconstruct the object pattern through an unknown, new phase diffuser. Unlike digital methods, all-optical diffractive reconstructions do not require power except for the illumination light. This diffractive solution to see through diffusive and/or scattering media can be extended to other wavelengths, and can fuel various applications in biomedical imaging, astronomy, atmospheric sciences, oceanography, security, robotics, autonomous vehicles, among many others.

Abstract: A method for programming a robotic continuous path using spline motion control. A set of path points are provided to a robot controller, either from CAD data or a teach device. A motion program is defined referencing the path points. Where three or more spline motion commands appear in sequence, a spline curve is computed. The spline curve comprises a set of adjacent parabolas or circular arcs, each of which passes through three path points, and overlapping sections of adjacent parabolas/arcs are blended. The spline curve passes through all of the path points, and there are no restrictions on path point spacing; large inter-point spacing can be followed by small spacing, and vice versa. Automatic speed controls are applied to the spline curve based on tool center point motion and joint motion. User-configurable tool orientations may be applied to the spline curve, and time-based and distance-based trigger points are definable.

Abstract: Embodiments of this application provide a decoding method. The method includes: obtaining a bitstream of a first coding unit, where the first coding unit is at least one coding unit in a plurality of coding units; determining an end decrease step, wherein the end decrease step is used to update a virtual padding amount of the plurality of coding units; determining the virtual padding amount of the plurality of coding units based on the end decrease step, where the virtual padding amount is used to reduce storage space of a buffer in a decoding device; determining that an encoding mode of the first coding unit in the plurality of coding units is a fallback mode; and decoding the bitstream of the first coding unit based on the virtual padding amount and the fallback mode, to obtain first data.

Abstract: A pixel structure and an image sensor are provided. The pixel structure includes: a plurality of pixel units adjacent to each other and are arranged in an array. A first optical partition wall is arranged between the adjacent pixel units. The pixel structure further includes a microlens assembly. The microlens assembly is located on an upper side of all the pixel units and is opposite to all the pixel units. Each of the pixel units includes a color filter, a pixel microlens, and a photoelectric conversion layer arranged successively from top to bottom. Colors of color filters of the adjacent pixel units are different.

Abstract: A broadband diffractive optical neural network simultaneously processes a continuum of wavelengths generated by a temporally-incoherent broadband source to all-optically perform a specific task learned using network learning. The optical neural network design was verified by designing, fabricating and testing seven different multi-layer, diffractive optical systems that transform the optical wavefront generated by a broadband THz pulse to realize (1) a series of tunable, single passband as well as dual passband spectral filters, and (2) spatially-controlled wavelength de-multiplexing. Merging the native or engineered dispersion of various material systems with a deep learning-based design, broadband diffractive optical neural networks help engineer light-matter interaction in 3D, diverging from intuitive and analytical design methods to create task-specific optical components that can all-optically perform deterministic tasks or statistical inference for optical machine learning.

Abstract: A particulate matter detection device takes holographic images of flowing particulate matter concentrated by a virtual impactor, which selectively slows down and guides larger particles to fly through an imaging window. The flowing particles are illuminated by a pulsed laser diode, casting their inline holograms on a CMOS image sensor in a lens-free mobile imaging device. The illumination contains three short pulses with a negligible shift of the flowing particle within one pulse and triplicate holograms of the same particle are recorded at a single frame revealing different perspectives of each particle. A deep neural network classifies the particles based on the acquired holographic images. The device was tested using different types of pollen and achieved a blind classification accuracy of 92.91%. This mobile and cost-effective device weighs ˜700 g and can be used for label-free sensing and quantification of various bio-aerosols over extended periods.

Abstract: A method and an apparatus for extracting a feature representation, a device, a medium, and a program product are provided and relate to the field of voice analysis technologies. The method includes: obtaining sample audio; extracting a sample time-frequency feature representation corresponding to the sample audio; performing frequency band segmentation on the sample time-frequency feature representation from a frequency domain dimension, to obtain time-frequency sub-feature representations respectively corresponding to at least two frequency bands; and performing inter-frequency band relationship analysis on the time-frequency sub-feature representations respectively corresponding to the at least two frequency bands from the frequency domain dimension, and obtaining an application time-frequency feature representation based on an inter-frequency band relationship analysis result.

Abstract: The present disclosure relates in some aspects to methods and compositions for in situ analysis involving catalytic de-crosslinking of biological samples.

Abstract: The provided is an apparatus and a method for measuring irregularity of a permanent magnet track. The apparatus includes: a superconducting levitator; a Hall sensor assembly is arranged on the superconducting levitator, one end of the Hall sensor assembly extends toward the permanent magnet track to form a positioning end, a plurality of Hall sensors uniformly arranged at the same interval distance along a width direction of the permanent magnet track are arranged on the positioning end, and the plurality of Hall sensors and a bottom of a superconductor in the superconducting levitator are all positioned on the same horizontal plane; an acceleration detection apparatus is arranged on the superconducting levitator, the acceleration detection apparatus is arranged along a length direction of the permanent magnet track, and one end of the acceleration detection apparatus extends toward the permanent magnet track to form a measuring end.

Abstract: A vehicular radar sensing system includes a radar sensor that includes a radiation slot sheet, a wave port sheet, and a waveguide sheet sandwiched between the radiation slot sheet and the wave port sheet. The sheets are joined together. The radiation slot sheet includes at least one transmitter that transmits radio signals and at least one receiver that receives radio signals. The waveguide sheet guides the transmitted radio signals from the radiation slot sheet to the wave port sheet and guides reflected radio signals from the wave port sheet to the radiation slot sheet. The transmitted radio signals are provided to the environment via at least one wave port of the wave point sheet. The reflected radio signals are received from the environment at the at least one wave port.

Abstract: The present disclosure generally relates to methods and compositions for in situ analysis or detection of analytes in a biological sample. More specifically, the present disclosure relates to methods for reducing autofluorescence in tissue samples, methods for analyzing tissue samples, and compounds for use in the same. The methods and compounds of the present disclosure may be especially suitable for analytical methods employing fluorescence in situ hybridization techniques over multiple cycles of imaging.

Abstract: A defect detection method includes obtaining a first screen image and a second screen image of a screen module, in response to determining a defect area in the first screen image, determining an image feature correlation between the first screen image and the second screen image, and determining a defect detection result of the screen module based on the image feature correlation. The first screen image is an image displayed by a display screen collected when the display screen of the screen module is in a first test state. The second screen image is an image displayed by the display screen collected when the display screen is in a second test state. The defect area indicates that the screen module has a display defect.

Abstract: An image sensor includes a pixel circuit array, where the pixel circuit array includes a plurality of pixel cluster circuits. Each of the pixel cluster circuits includes one white pixel circuit and at least two color pixel circuits, and the at least two color pixel circuits are disposed around the white pixel circuit. The pixel circuit array includes at least two pixel circuit rows and at least two pixel circuit columns. The at least two pixel circuit rows share one control signal line, and the at least two pixel circuit columns share one output signal line, where the pixel circuit row includes the white pixel circuit or the color pixel circuit. The pixel circuit column includes the white pixel circuit or the color pixel circuit; and a pixel signal processing module, where the pixel signal processing module is connected to the output signal line.

Abstract: A particulate matter detection device takes holographic images of flowing particulate matter concentrated by a virtual impactor, which selectively slows down and guides larger particles to fly through an imaging window. The flowing particles are illuminated by a pulsed laser diode, casting their inline holograms on a CMOS image sensor in a lens-free mobile imaging device. The illumination contains three short pulses with a negligible shift of the flowing particle within one pulse and triplicate holograms of the same particle are recorded at a single frame revealing different perspectives of each particle. A deep neural network classifies the particles based on the acquired holographic images. The device was tested using different types of pollen and achieved a blind classification accuracy of 92.91%. This mobile and cost-effective device weighs ˜700 g and can be used for label-free sensing and quantification of various bio-aerosols over extended periods.