Abstract: A timestamp generation method and apparatus, and an electronic device and a storage medium, which are used for solving the technical problem of recorded information being easily leaked because a trusted third party is usually needed as a timestamp authority for recording in a traditional trusted timestamp generation method. In the present invention, the method comprises: acquiring a file record; calculating a hash value of the file record; sending the hash value to a random issuer, and receiving a signature result returned by the random issuer, wherein the signature result is generated after the random issuer signs the hash value and a receiving time, and the receiving time is the time when the random issuer receives the hash value; and storing the signature result in a blockchain as a timestamp of the file record.

Abstract: A diffractive camera performs class-specific imaging of target objects with instantaneous all-optical erasure of other classes of objects. This diffractive camera includes transmissive surfaces structured using deep learning to perform selective imaging of target classes of objects positioned at its input field-of-view. After fabrication, the substrate layers collectively perform optical mode filtering to accurately form images of the objects that belong to a target data class or group of classes, while instantaneously erasing objects of the other data classes at the output field-of-view. In another embodiment, a class-specific permutation camera is disclosed where objects of a target data class are pixel-wise permuted for all-optical class-specific encryption, while the other objects are irreversibly erased from the output image.

Abstract: A trusted anonymous voting method includes: performing a hash operation on original voting content to obtain a hash output including a commitment value cvi; blinding the commitment value cvi based on information of other voters to obtain commitment value tuples {tilde over (c)} and {tilde over (x)}; signing the commitment value tuple {tilde over (c)} by using an ESDSA to obtain a signature tuple {tilde over (s)}; and establishing a vote tuple ({tilde over (c)}, {tilde over (s)}, {tilde over (d)}) based on the commitment value tuple {tilde over (c)}, the signature tuple {tilde over (s)} and a signature tuple {acute over (d)} of other voters, and uploading the vote tuple (?, ?, {acute over (d)}) and the commitment value tuple {tilde over (x)} to the blockchain, where signature tuple {tilde over (d)} is generated in a case that other voters verify the signature tuple {tilde over (s)} and the signature tuple {tilde over (s)} passes the verification, and the commitment value tuple {tilde over (x)} is used to decry

Abstract: A hardware retire circuit includes: one or more input queues, each queue corresponding to an input stream of tasks and being configured to store input task identifiers corresponding to tasks of the input stream; and processing logic configured to: receive a completed task event; determine whether a completed task queue identifier and a completed task identifier of the completed task event match an input task identifier of an input task at a head of an input queue having an input queue identifier corresponding to the completed task queue identifier; and in response to determining a match, pop the task at the head of the input queue and output a task retirement event corresponding to the input task.

Abstract: The present application discloses a three-dimensional integrated sensing-memory-computing chip, a method for manufacturing the same, and a computing method therefor, the chip includes sensing-memory-computing units, each includes a stacked resistive random access-memory device, a sensing device, and a gating device; the stacked resistive random access-memory device group includes at least two resistive random access-memory devices formed in a stack in a thickness direction; the sensing device is configured to receive an external signal and convert the external signal into an input signal, and an output end of the sensing device is coupled to a top electrode of the stacked resistive random access-memory device group; and the gating device is configured to receive a control signal and turned on and turned off based on the control signal, and the gating device is coupled to the top electrode of the stacked resistive random access-memory device group.

Abstract: The present disclosure discloses an immersion valve assembly and an immersion-type secondary battery device with the same. The immersion valve assembly includes a fire-fighting liquid storage chamber including a fire-fighting liquid outlet facing a battery cell module; and an immersion valve. An opening/closing cooperation relationship is formed between the fire-fighting liquid outlet and the immersion valve, and the immersion valve is configured to move under the action of a gas pressure and open the fire-fighting liquid outlet when thermal runaway occurs to the battery cell module. The immersion-type secondary battery device includes a box cover, a box body, a battery core module and an immersion valve assembly that is arranged inside the box cover.

Abstract: In a full-screen display method, a multimedia file is displayed in non-full screen on an application interface; and an instruction for displaying the multimedia file in full screen is detected, and it is determined whether a window displaying the application interface is a graph whose aspect ratio is in a preset interval. If the window is a graph whose aspect ratio is in the preset interval, the multimedia file is displayed in full screen in the window based on a current display direction of the application interface, where the current display direction of the application interface includes: a display direction of the application interface obtained when the instruction for displaying the multimedia file in full screen is detected.

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.