Abstract: A display apparatus includes: a display panel; a first pattern layer on one surface of the display panel; and a second pattern layer facing the one surface with the first pattern layer interposed therebetween, wherein: the first pattern layer comprises a plurality of first patterns each having a closed line shape comprising a first opening; the second pattern layer comprises a plurality of second patterns each having a closed line shape comprising a second opening; on the one surface, each of the first pattern layer and the second pattern layer has a deformation rate which is smaller in a direction perpendicular to a tensile direction than in the tensile direction; and on the one surface, the first openings overlap portions of the second patterns.

Abstract: The present invention relates to a perforated plate microstructure module, and more particularly, to a perforated plate microstructure module which can be used to deliver a drug into the skin.

Abstract: Provided is a genome editing composition for prime editing including a prime editor protein and a prime editing guide RNA, for editing a Z-type mutation of alpha-1 antitrypsin deficiency. The composition according to an aspect includes both a pegRNA sequence capable of effectively editing the SERPINA1 gene and prime editor 2 (PE 2), and thus, may effectively deliver the prime editor to a cell, and act specifically for a target sequence of the SERPINA1 gene, enabling genome editing with high accuracy, and therefore, may be useful as a SERPINA1 gene editing platform. In addition, the composition is capable of correcting the Z-type mutation of the SERPINA1 gene, and may be used for treatment or prevention of alpha-1 antitrypsin deficiency.

Abstract: There are a composite material including an aluminum-based matrix and a device adopting the same. The composite material including an aluminum-based matrix may include an aluminum-based matrix including a plurality of grains, wherein each of the grains has a plurality of sub-grains; and a self-organized phase present at a sub-grain boundary between the plurality of sub-grains, wherein the self-organized phase has a band structure and includes a solid solution of aluminum and a non-metal element. The sub-grains and the self-organized phase coming into contact with the sub-grains may form a substantially coherent interface. A plurality of dislocations spaced apart from each other may be provided along the coherent interface.

Abstract: A content addressable memory based on a self-rectifying ferroelectric tunnel junction element comprises: a cell array unit having a plurality of TCAM cells, each comprising two self-rectifying ferroelectric tunnel junction elements (SR-FTJ) connected between a corresponding match line of a plurality of match lines extending in a first direction and a corresponding bit line pair of a plurality of bit line pairs extending in a second direction; a precharge unit precharging a corresponding match line of the plurality of match lines to a power supply voltage level in response to a precharge signal; and a data input/output unit having a plurality of access transistor pairs electrically connecting or disconnecting a corresponding bit line pair among the plurality of bit line pairs and a source line, in response to a voltage applied through a corresponding search line pair among a plurality of search line pairs according to data to be written or searched.

Abstract: A method of manufacturing a stacked structure includes forming a first metal buffer layer including crystal grains on a base substrate, forming a second metal buffer material layer on the first metal buffer layer, and crystallizing the second metal buffer material layer to form a second metal buffer layer, wherein the second metal buffer material layer includes crystal grains, and a density of the crystal grains of the second metal buffer material layer is lower than a density of the crystal grains of the first metal buffer layer.

Abstract: Disclosed is an accelerator and a method of operating the accelerator including determining whether any group shares weights of a first group from among groups, determining a presence of an idle processing element (PE) array, in response to no group sharing the weights of the first group, and selecting a second group having a memory time overlapping a computation time of the first group from among the groups, in response to the idle PE array being present.

Abstract: A method and apparatus with image correction is provided. A processor-implemented method includes generating, using a neural network model provided an input image, an illumination map including illumination values dependent on respective color casts by one or more illuminants individually affecting each pixel of the input image, and generating a white-adjusted image by removing at least a portion of the color casts from the input image using the generated illumination map.

Abstract: Provided are: a method for modifying a target nucleic acid in the genome of a cell using a novel PAM sequence; and a cell in which a target nucleic acid in the genome is modified thereby. Accordingly, genome editing can be performed by targeting a position that could not be previously targeted as a target for genome editing, and thus the range of applications of genome editing can be expanded.

Abstract: Disclosed is an apparatus for monitoring bioaerosols, which includes a capturer configured to capture bioaerosol particles in air in a capture solution; a first droplet discharger configured to electro-spray the capture solution, in which the particles are captured, in a form of first droplets; a second droplet discharger configured to electro-spray a reagent, capable of reacting with the particles of the first droplets, in a form of second droplets; a reactor in which the first and second droplets are mixed so that the particles react with the reagent; and a measurer configured to measure the particles reacted with the reagent, wherein a size of the first droplets discharged from the first droplet discharger is controlled such that the particles are individually included in the first droplets. In accordance with such a configuration, individual particles can react with a reagent, which allows accurate bioaerosol monitoring optically.

Abstract: The present disclosure relates to a cell obtaining method for creating NFT based on a cell image. The cell obtaining method includes the steps of separating a cell from a biological sample, obtaining a stem cell by treating the cell with a dedifferentiation inducer, differentiating the stem cell, acquiring an image of the differentiated cell; and converting the image of the differentiated cell into an NFT image, and creates the NFT using a vital image in a simple and easy way through non-invasive and non-medical procedures.

Abstract: An apparatus for acquiring images includes an image sensor and a signal processor. The image sensor may include a sensor substrate and a color separation lens array, wherein the sensor substrate includes a plurality of photo-sensing cells, and the color separation lens array may separate an incident light into a plurality of lights having different wavelengths and forms a phase distribution for condensing the plurality of lights having the different wavelengths on adjacent photo-sensing cells of the plurality of photo-sensing cells. The signal processor may perform deconvolution on sensing signals of the plurality of photo-sensing cells to obtain a sub-sampled image, perform demosaicing to restore a full resolution image having a full resolution from the sub-sampled image, and correct a color of the full resolution image using a point spread function (PSF) of the color separation lens array.

Abstract: A device and method for classifying a category of data are provided. The device includes: a memory storing one or more instructions; and at least one processor configured to execute the one or more instructions stored in the memory to cause the processor to: identify a classification system of a category of data comprising a classification criterion of the category of the data and a plurality of keywords; obtain data comprising at least one sentence; and determine at least one category with respect to the at least one sentence of the data based on the classification system of the category of the data using a neural network that performs classification by unsupervised learning.

Abstract: An audio signal encoding and decoding method using a neural network model, and an encoder and decoder for performing the same are disclosed. A method of encoding an audio signal using a neural network model, the method may include identifying an input signal, generating a quantized latent vector by inputting the input signal into a neural network model encoding the input signal, and generating a bitstream corresponding to the quantized latent vector, wherein the neural network model may include i) a feature extraction layer generating a latent vector by extracting a feature of the input signal, ii) a plurality of downsampling blocks downsampling the latent vector, and iii) a plurality of quantization blocks performing quantization of a downsampled latent vector.

Abstract: The present disclosure relates to a management system for generating and distributing a cell image-based NFT including a cell image generation unit that generates an image from a collected cell, an NFT issuance unit that converts the cell image into an NFT image and stores and manages the NFT image, and an NFT transaction unit that brokers an online transaction for the issued NFT, and a service providing method thereof, and may assign an asset value to a vital image to meet the demand for owning the image.

Abstract: A method and apparatus with image processing are disclosed. The method includes determining a real part image, an imaginary part image, and an offset image based on input images that are dependent on infrared rays of different phases, removing noise from each of the real part image and the imaginary part image using the offset image as a noise removal guide, and generating a depth image based on an improved real part image and an improved imaginary part image corresponding to respective results of the removing.

Abstract: Provided are a segmentation system and method of an ascending aorta and a coronary artery from coronary CT angiography (CCTA) using a hybrid approach, which relates to a technology of extracting only the shape of the coronary artery and ascending aorta from the input coronary CT medical image.

Abstract: An automatic labeling method for assigning labels to unlabeled point clouds among a set of labeled and unlabeled point clouds includes preparing an initial machine learning classification model, selecting a labeled point cloud for each of the unlabeled point clouds based on similarities between a feature vector of each of the unlabeled point clouds output through the model and feature vectors of the labeled point clouds output through the model and assigning a cluster label to each of the unlabeled point clouds based on a label of the selected labeled point cloud, assigning pseudo labels to the unlabeled point clouds to which the cluster labels are assigned based on a confidence score obtained through the model, and updating the model by training the model with the labeled point clouds and the unlabeled point clouds to which the pseudo labels are assigned.

Abstract: A neural waveform distinguishment apparatus includes: a neural waveform obtainment unit that obtains multiple neural waveforms in a pre-designated manner from neural signals sensed by way of at least one electrode; a preprocessing unit that obtains multiple gradient waveforms by calculating pointwise slopes in each of the neural waveforms; a feature extraction unit comprising an encoder ensemble composed of multiple encoders, which have a pattern estimation method learned beforehand and include different numbers of hidden layers, where the feature extraction unit obtains multiple codes as multiple features extracted by the encoders respectively from the gradient waveforms and concatenates the codes extracted by the encoders respectively to extract a feature ensemble for each of the gradient waveforms; and a clustering unit that distinguishes the neural waveforms corresponding respectively to the gradient waveforms by clustering the feature ensembles extracted respectively in correspondence to the gradient wav

Abstract: A data processing method and apparatus using a neural network, and an electronic device including the data processing apparatus. The data processing method includes identifying an operator that selects one of a plurality of execution paths for a portion of the neural network while sequentially executing layers included in the neural network, selecting a specific execution path, from among the plurality of execution paths, based on a remaining time that is left for an inference of the neural network, and obtaining a result of the inference of the neural network through the specific execution path.