Abstract: The present disclosure relates to a binder solution for an all-solid-state battery and an all-solid-state battery comprising the same and having a uniform binder distribution. The binder solution may comprise: a binder including a fluorine-based polymer; a first solvent; and a second solvent. A Hansen solubility index difference value (Ra) between the fluorine-based polymer and the first solvent is about 10 or less, and a Hansen solubility index difference value (Ra) between the first solvent and the second solvent is about 7 or less.

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: A method for augmenting data according to some embodiments of the present disclosure includes obtaining a score prediction model learned using a first noisy sample of a first class, generating a second noisy sample by adding the noise with the specified distribution to a sample of a second class, and generating a fake sample of the first class from the second noisy sample using a score for the second noisy sample predicted through the score prediction model.

Abstract: A ferroelectric random access memory device comprises: a memory cell array including a plurality of memory cells each having one ferroelectric transistor (FeFET) connected between a read line of a plurality of read lines and a source line of a plurality of source lines and one transistor connected between a bit line of a plurality of bit lines and a gate of the FeFET and having a gate connected to a corresponding word line of a plurality of word lines; and a read/write control unit, when address information for a memory cell to be written is applied with a write command and data, selecting a word line and a read line corresponding to a row address and applying a write voltage having a positive voltage level, and applying a ground voltage to the selected read line, and applying the write voltage to a bit line corresponding to a memory cell.

Abstract: A center-fed array antenna comprises: a central radiation element located in the center among the odd number of N radiation elements; a first radiation part including n (=(N?1)/2) first radiation elements positioned on one side of the central radiation element and n first phase shifters corresponding to each of the n first radiation elements; a second radiation part including n second radiation elements positioned on the other side of the central radiation element and n second phase shifters corresponding to each of the n second radiation elements; and a 3-way power divider distributes the received feed signal in an asymmetric ratio in proportion to the ratio of the number of radiation elements included in the central radiation element and the first and second radiation parts, and outputs the obtained first to third distribution feed signals to the corresponding central radiation element and the first and second radiation parts, respectively.

Abstract: Provided is a gas turbine vane and blade assembly in which lattice structures are installed between an impingement plate and an effusion plate. The gas turbine vane and blade assembly is capable of enhancing cooling efficiency in an impingement/effusion cooling technique. In addition, the gas turbine vane and blade assembly can be manufactured using an additive manufacturing technique, and the lattice structures are capable of replacing supports that are used during an additive manufacturing process, and improving not only structural rigidity and stability but also cooling performance.

Abstract: The method for estimating mental health and providing solution for mental health by learning psychological data and biological data based on machine learning includes: (a) acquiring, by mental health estimating device, psychological data for testing and biological data for testing of test subject from terminal of the test subject in state in which first estimated model is learned by referring to estimated mental health data for learning output from the first estimated model and ground truth mental health data corresponding to the estimated mental health data after psychological data for learning and biological data for learning of learning subjects are input to the first estimated model; and (b) inputting, by the mental health estimating device, the psychological data for testing and the biological data for testing to the first estimated model to allow the first estimated model to output estimated mental health data for testing.

Abstract: The present disclosure relates to a 5th generation (5G) or pre-5G communication system for supporting higher data transmission rates than 4th generation (4G) communication systems such as long term evolution (LTE). A method performed by a first base station in a wireless communication system includes: identifying a first signal-to-interference-noise ratio (SINR), based on channel state information received from a terminal; identifying a modulation and coding scheme (MCS), based on the first SINR and information on a link direction of a second base station; and transmitting information indicating the MCS to the terminal.

Abstract: The present invention provides an apparatus for managing atopic dermatitis based on a learning model and a method therefor.

Abstract: Provided are a system and method of automatically measuring spinal parameters. The system includes an image acquisitor configured to acquire an overall image of a spine and a parameter extractor configured to generate a learning model for extracting designated points from various spinal images and detecting relationships between the extracted points as angles, search for the designated points in the overall spinal image of the image acquisitor using the generated learning model, and check angular relationships between the points.

Abstract: Disclosed is a method for examining cells including: acquiring image data of cells acquired from a region suspected to be a cancer lesion; analyzing the image data; determining whether an amount of the cells is sufficient based on the analyzed result; and determining whether cancer-probable cells are included in the cells based on the analyzed result and the determined result; wherein the cells are acquired through Fine Needle Aspiration (FNA).

Abstract: An aluminum alloy material according to an embodiment of the present invention is an aluminum alloy including a grain boundary and a plurality of grains divided by the grain boundary, and having a face-centered cubic crystal structure, and includes a band formed by employing one or more non-metallic elements selected from oxygen (O), carbon (C) and nitrogen (N) in an aluminum matrix. Each of the grains includes a plurality of sub-grains divided by a low-angle grain boundary (LAGB), and a band positioned at the low-angle grain boundary may form a coherent interface with an aluminum matrix. Since a plurality of dislocations already are present in the band, a dislocation cell size is reduced during plastic deformation, which greatly contributes to an improvement in elongation. Such an aluminum alloy material can be subjected to cold rolling at a high reduction rate, and as a result, a plate having significantly improved elongation can be obtained.

Abstract: Disclosed are a spin logic device based on spin-charge conversion and a spin logic array using the same. A reconfigurable spin logic array according to an exemplary embodiment of the present invention may include: an input terminal receiving at least three current signals; a plurality of wires transmitting the current signal in connection with the input terminal and including a horizontal wire and a vertical wire which cross each other; a first gate array in which at least one first majority gate connected to the input terminal through the wires and implemented based on the spin logic device is arranged; and a second gate array in which at least one second majority gate connected to the first gate array through the wires and implemented based on the spin logic device is arranged.

Abstract: The present invention discloses a transient sensor using molybdenum disulfide and a method of manufacturing the same. According to one embodiment of the present invention, the transient sensor using molybdenum disulfide includes a water-soluble substrate; a water-soluble insulating layer deposited on the water-soluble substrate; an electrode layer formed of any one of molybdenum (Mo) and magnesium (Mg) and formed on the water-soluble insulating layer; and a channel layer formed of molybdenum disulfide and formed on the water-soluble insulating layer to be connected to the electrode layer. In addition, when the transient sensor is inserted into living matter, the transient sensor can be dissolved within a critical time in the living matter.

Abstract: Provided is a control method of a deep neural network (DNN) accelerator for optimized data processing. The control method includes, based on a dataflow and a hardware mapping value of neural network data allocated to a first-level memory, calculating a plurality of offsets representing start components of a plurality of data tiles of the neural network data, based on receiving an update request for the neural network data from a second-level memory, identifying a data type of an update data tile corresponding to the received update request among the plurality of data tiles, identifying one or more components of the update data tile, based on the data type of the update data tile and an offset of the update data tile among the calculated plurality of offsets, and updating neural network data of the identified one or more components between the first-level memory and the second-level memory.

Abstract: The present disclosure relates to a tent-type mobile infectious disease clinic, and more particularly, to a mobile infectious disease clinic, which is a tent-type mobile infectious disease clinic that makes it possible to promptly install a large number of mobile infectious disease clinics due to having mobility and being easy to install and remove, that allows a test subject to be tested by a healthcare provider using an infectious disease test kit while the test subject is isolated in the tent-type mobile infectious disease clinic, the healthcare provider is outside the tent-type mobile infectious disease clinic, and exposure of the body parts is minimized, that performs sterilization of an infectious disease using an ultraviolet C (UV-C) lamp to reduce the time taken for disinfecting the clinic, and that allows the light radiation intensity of the UV-C lamp to be adaptively adjusted according to the body temperature of the test subject.

Abstract: Provided is a method of producing a patterned flexible electrode including: a nanowire formation step of applying a first dispersion containing a metal nanowire to a first sheet which is unwound from a wound state to form a nanowire network; a fiber formation step of electrospinning a second dispersion containing metal nanoparticles on the nanowire network to form a fiber-nanowire network in which a metallic fiber of the metal nanoparticles being agglomerated is incorporated into the nanowire network; a sintering step of photonically sintering the fiber-nanowire network to form a conductive network; and a patterning step of patterning the fiber-nanowire network before the sintering step or patterning the conductive network after the sintering step.

Abstract: The present invention provides an aqueous primary battery for carbon dioxide conversion containing a metal nanocluster catalyst, and a carbon dioxide conversion method capable of spontaneously converting carbon dioxide using the same even at high current density without the need for external power.

Abstract: Disclosed is an artificial intelligence (AI)-based gastroscopic image analysis method including a step of configuring training data and training the plurality of image classification models, a step of observing or photographing respective parts of a stomach from the oral cavity and the laryngopharynx to the second part of the duodenum using a gastroscopic probe, a step of automatically classifying and recognizing the anatomical location of the stomach with respect to an image captured during photographing using the plurality of image classification models, automatically storing or reporting the location of a lesion, and a step of segmenting an image of a specific part in the captured gastroscopic image for each region by a region segmentation model and outputting the same number of segmented maps as the number of target classes as the result of segmentation.

Abstract: The present disclosure provides the compound having inhibitory property against TNIK having a specific chemical structure or its pharmaceutically acceptable salt. The present disclosure also provides a composition comprising the compound or its pharmaceutically acceptable salt. The present disclosure also provides a medical use of the compound, its salt or the composition comprising the compound or its pharmaceutically acceptable salt for treating or preventing cancer. The present disclosure also provides a method of treatment or prevention of cancer comprising administering the compound, its salt or the composition comprising the compound or its salt to a subject in need of such treatment or prevention.