Abstract: Disclosed herein is a video decoding method including determining one or more adaptation parameter sets including a quantization matrix set including a plurality of quantization matrices, determining an adaptation parameter set including a quantization matrix set applied to a current picture or a current slice from among the one or more adaptation parameter sets, dequantizing transform coefficients of a current block of a current picture or a current slice based on the quantization matrix set of the determined adaptation parameter set, and reconstructing the current block based on the dequantized transform coefficients, wherein the adaptation parameter set includes coding information applied to one or more pictures or slices.

Abstract: Catalytic compositions and sequential catalytic methods are generally described. in some embodiments, a composition comprises a first catalyst comprising a Cu-modified zeolite, and a second catalyst capable of a coupling reaction between (a) an intermediate resulting from a reaction of a reactant at the first catalyst, and (b) a co-reagent, wherein a rate of diffusion of the co-reagent within one or more cages and/or pores of the first catalyst is lower than a rate of diffusion of the intermediate within the one or more cages and/or pores of the first catalyst.

Abstract: An operation method of a source terminal for sidelink communication comprises transmitting at least two transport blocks (TBs) or code block groups (CBGs) to a destination terminal, and receiving hybrid automatic repeat request-acknowledgement/negative acknowledgement (HARQ-ACK/NACK) bits for the at least two TBs or CBGs from the destination terminal. The operation method further comprises generating an HARQ codebook based on the HARQ-ACK/NACK bits, and reporting the generated HARQ codebook to a serving base station.

Abstract: Disclosed herein is an image encoding/decoding method and apparatus. The image decoding method includes obtaining subblock based transform (SBT) use information, obtaining at least one of SBT division information, SBT division direction information or SBT position information, when the SBT use information indicates use of an SBT, and performing the SBT with respect to a current block based on at least one of the SBT division information, the SBT division direction information or the SBT position information. The SBT use information may be obtained when a width of the current block and a height of the current block are less than a maximum transform size.

Abstract: A method and system for controlling at least one effector trajectory for at least one effector of a robot for solving a predefined task are proposed. A graph of postures is acquired, and at least one of a contact constraint topology and an object constraint topology are accordingly modified. A set of constraint equations based on at least one of the modified contact constraint topology and the modified object constraint topology are generated. Constraint relaxation is performed on the generated set of constraint equations to generate a task description including the relaxed set of constraint equations. The effector trajectory is generated by applying a trajectory generation algorithm on the generated task description. An inverse kinematics algorithm is performed on the generated effector trajectory for generating a control signal, and the effector is controlled to execute the effector trajectory based on the generated control signal.

Abstract: A method for controlling a deformable mirror surface shape based on a radial primary function processes samples of a neural network training set, obtains elements of the neural network training set, characterizes the complex surface shape of the deformable mirror in each sample by using a radial primary function, takes characterization parameters of the surface shape in the each sample as an input of a neural network, and trains the neural network by taking a voltage of each piezoelectric ceramic corresponding to the complex surface shape as a corresponding output of the neural network. Training times of the neural network are consistent with a number of the samples. Finally, the trained neural network is obtained to verify the training effect of the neural network. According to the characterization parameters of the required surface, the neural network is used to control the deformable mirror to generate the required surface.

Abstract: A pipelined analog-to-digital converter and an output calibration method for the same. The pipelined analog-to-digital converter introduces an error calibration mechanism on the basis of traditional pipelined analog-to-digital converters through a control module, an equivalent gain error extraction module, an error storage module and a coding reconstruction module to compensate for gain errors and setup errors caused by operational amplifiers in a pipelined conversion module, so that the analog-to-digital conversion accuracy is improved, and requirements for the gain and bandwidth of the operational amplifier are relaxed, which can effectively reduce the power consumption of the analog-to-digital converter and the complexity of the corresponding analog circuit; a curve fitting method is adopted to obtain an ideal output sequence and then calculate errors; meanwhile, extraction and calibration of equivalent gain errors are all done in digital ways, and therefore accuracy thereof is high.

Abstract: A method, device and equipment for reconstructing a PET image are provided. The method includes acquiring a prior image comprising an anatomical image and an autocorrelation feature image, the autocorrelation feature image being determined based on gray-level co-occurrence matrix of the anatomical image; and acquiring a feature value of the prior image; reconstructing the PET image according to the feature value and an iterative algorithm.

Abstract: Provided herein are methods for treating a neurodevelopmental disorder using a group II metabotropic glutamate receptor modulator.

Abstract: A learning device calculates an image feature using a model (image encoder) that receives an image and outputs the image feature obtained by mapping the image into a latent space. The learning device calculates an audio feature using a model (audio encoder) that receives a speech in a predetermined language and outputs the audio feature obtained by mapping the speech into the latent space, and that includes a neural network provided with a self-attention mechanism. The learning device updates parameters of the models used by an image feature calculation unit and an audio feature calculation unit such that the image feature of a first image is similar to the audio feature of a speech corresponding to the first image.

Abstract: An application function (AF) in a first network and a method for providing a service by the AF via a second network including: requesting quality of service (QoS) related information to a network exposure function (NEF) of a second network different from the first network in which the AF is located, wherein the QoS related information is used to guarantee the QoS of a service to be provided to a terminal; and receiving the QoS related information from the NEF of the second network are provided.

Abstract: Provided is a waterborne polyurethane obtained by polymerizing an alicyclic polyester polyol, a diisocyanate, and a hydrophilic chain extender. The alicyclic polyester polyol includes an alicyclic polyester polyol having a four-membered ring and/or an alicyclic polyester polyol having a six-membered ring. Based on a usage amount of 1 part by weight of the alicyclic polyester polyol having a four-membered ring and/or a six-membered ring, a usage amount of the diisocyanate is between 0.3 parts by weight and 12 parts by weight, and a usage amount of the hydrophilic chain extender is between 0.05 parts by weight and 1.5 parts by weight.

Abstract: According to an aspect of the disclosure, there is provided a microwave reactor including a container for storing a bath fluid, a tube including an inlet at one end through which a target fluid is introduced, an outlet at another end through which the target fluid is discharged, wherein at least a portion of the tube is submerged in the bath fluid, and at least one radiator located outside the container and configured to irradiate microwaves into the container.

Abstract: The present disclosure provides improved adenosine base editors (ABE) that have an expanded range of PAM sequence recognition capability (i.e., recognition of non-canonical ?5-NGG-?3 PAM sequence). In addition, the present disclosure provides improved cytidine base editors (CBE) and adenosine base editors (ABE) comprising circular permutant variants of Cas9 (CP-Cas9) with an increased window of base editing within the protospacer sequence (e.g., from about 4-5 nucleotides to up to about 8-9 nucleotides) and even outside of the protospacer sequence.

Abstract: The present invention relates to a pop count-based deep learning neural network computation method, a multiply accumulator, and a device thereof. The computation method according to an exemplary embodiment of the present invention is a computation method for a deep learning neural network, including a step of generating one-hot encoding codes according to the type of first multiplication result values for a multiplication (first multiplication) of weights (W) and input values (A); a step of performing a pop-count for each generated code; and a step of accumulating result values for a constant multiplication (second multiplication) between each type of the first multiplication result value and each count value of the pop-count which are different constant values.

Abstract: An image encryption method. The method includes generating an adjusted secret image by adjusting an intensity range to be the same for each RGB channel of a secret image; generating a modulated image by repeating pixel modulation in block units on the adjusted secret image; and generating an interlaced image by interlacing odd-numbered lines of the adjusted secret image with even-numbered lines of the modulated image or interlacing even-numbered lines of the adjusted secret image with odd-numbered lines with the modulated image.

Abstract: Described are CMOS-compatible protonic resistive devices (e.g., processing elements and/or memory elements). In embodiments, a protonic resistive memory can be formed from a proton-sensitive metal oxide channel where the concentration of protons intercalated inside the layer is controlled to modulate its conductivity. The protons can initially be supplied to the material stack by an implantation method. Irradiation techniques can be implemented to increase the concentration and conductivity of protons inside the materials. Some designs can put the active layer and reservoir in direct contact, creating an electrolyte-free device. Designs provide scalable solutions for full-scale Si-integration.

Abstract: The purpose of the present invention is to provide: a new magnetic material which exhibits high magnetic stability and excellent oxidation resistance and which can achieve both significantly higher saturation magnetization and lower coercive force than a conventional ferrite-based magnetic material by using a magnetic material obtained by nanodispersing ?-(Fe,M) phases and M component-enriched phases (here, the M component is at least one component selected from among Zr, Hf, V, Nb, Ta, Cr, Mo, W, Cu, Zn and Si); and a method for producing same. This magnetic material powder exhibits high moldability, and is such that ?-(Fe, M) phases and M-enriched phases are nanodispersed by chemically reducing M-ferrite nanoparticles, which are obtained by means of wet synthesis, in hydrogen and utilizing phase separation by means of a disproportionation reaction while simultaneously carrying out grain growth. Furthermore, a solid magnetic material is obtained by sintering this powder.

Abstract: The present invention relates to a strain for producing chitinase and application thereof. The class of the strain is named Streptomyces diastaticus CS1801 and the preservation number thereof is CCTCC NO: M2018263. The Streptomyces diastaticus CS1801 of the present invention is derived from naturally fermented prawn paste. By fermentation of prawns, the enzyme activity of the chitosan is as high as 57.3 U/L and the content of chitooligosaccharides is 0.58 mol/L. The present invention provides a new method for producing chitooligosaccharides and has a good application prospect.

Abstract: Node-link data can be converted into audio outputs. For example, a system can generate a graphical user interface (GUI) depicting a node-link diagram having nodes and links. The GUI can include a virtual reference point in the node-link diagram and a virtual control element that is rotatable around the virtual reference point by a user to contact one or more of the nodes in the node-link diagram. The system can receive user input for rotating the virtual control element around the virtual reference point, which can generate a contact between the virtual control element and a particular node of the node-link diagram. In response to detecting the contact, the system can determine a sound characteristic configured to indicate an attribute associated with the particular node. The system can then generate a sound having the sound characteristic, for example to assist the user in exploring the node-link diagram.