Abstract: The present disclosure provides a data assimilation system of numerical models using atmospheric research aircraft observation data for constructing a data assimilation system for generating improved initial conditions and performing efficient aerial observation work using atmospheric research aircraft observation data, and a method of constructing a weather prediction model with data assimilation applied of the data assimilation system. A data assimilation system of numerical models using atmospheric research aircraft observation data includes an observation error data generation module, a background error covariance generation module, a data assimilation module and a lateral boundary field generation module.

Abstract: Provided is a method for preventing, ameliorating, or treating inflammatory diseases by administering a composition containing extracellular vesicles (EVs) derived from Roseburia spp. strains and/or Bifidobacterium spp. strains, wherein the EVs exhibits effectiveness in improving inflammatory bowel disease (IBD), and additionally, all EVs derived from congeneric strains corresponding to Roseburia spp. strains or Bifidobacterium spp. strains. have been confirmed to exhibit strong anti-inflammatory effect, and the strains and EVs derived therefrom can be provided as a composition for preventing, ameliorating, or treating a variety of inflammatory diseases.

Abstract: A cover type touch switch structure includes: a seat housing embedded in a seat of a vehicle so as to be fastened to a seat frame; a switch housing disposed in the seat housing and including an outer surface which is coupled to the seat housing via a hook; a light-emitting unit which is disposed in the switch housing and stacked on the seat frame; and a knob unit which has a portion disposed in the switch housing and is stacked on the light-emitting unit.

Abstract: An apparatus for estimating brake judder of a vehicle and a method thereof includes a communication device that receives sensor data from a plurality of vehicles, and a controller that extracts learning data by pre-processing the sensor data, trains a clustering model to group characteristic data corresponding to the learning data into a preset number of clusters, and estimates brake judder of a target vehicle based on the learned clustering model.

Abstract: A method of calculating a collision risk of a ship according to an embodiment of the present disclosure may include: calculating an available velocity area based on maneuvering performance of a host ship; calculating a velocity obstacle area where there is a possibility of collision between an object and the host ship; and calculating a collision risk based on at least one of the available velocity area, the velocity obstacle area, and a preset weight.

Abstract: Some example embodiments relate to a super resolution scanning electron microscope (SEM) image implementing device and/or a method thereof. Provided a super resolution scanning electron microscope (SEM) image implementing device comprising a processor configured to crop a low resolution SEM image to generate a first cropped image and a second cropped image, to upscale the first cropped image and the second cropped image to generate a first upscaled image and a second upscaled image, and to cancel noise from the first upscaled image and the second upscaled image to generate a first noise canceled image and a second noise canceled image.

Abstract: A non-transitory computer-readable storage medium stores instructions. When executed by a computer, the instructions cause the computer to perform a method for a semiconductor design simulation. The method may include generating first polygon meshes, transforming the first polygon meshes to first level sets, performing logical operations on the first level sets to generate second level sets, and transforming the second level sets to second polygon meshes.

Abstract: An embodiment emergency braking apparatus for a vehicle includes a memory storing a required control amount determination algorithm for non-occurrence of a judder and a required control amount determination algorithm for occurrence of the judder and an emergency braking controller that determines whether the judder occurs based on judder prediction information, determines whether a current situation is a dangerous situation based on vehicle forward detection information and a dangerous situation determination criterion for the occurrence of the judder, operates based on the required control amount determination algorithm for the occurrence of the judder, determines a primary required control amount based on the required control amount determination algorithm for the non-occurrence of the judder, selects a compensation coefficient corresponding to a judder magnitude, determines a compensation value based on the compensation coefficient, and determines a final required control amount by applying the compensatio

Abstract: A method for controlling a brake fluid pressure using an ESC system in a vehicle is to reduce the braking distance and increase braking safety of a vehicle on a wet road surface by performing brake fluid pressure control based on precipitation data.

Abstract: An electronic device is provided. The electronic device includes a touchscreen display; first communication circuitry to establish a short-range communication connection; second communication circuitry to establish a cellular communication connection; and a processor.

Abstract: An apparatus for estimating brake judder of a vehicle and a method thereof includes a communication device that receives sensor data from a plurality of vehicles, and a controller that extracts learning data by pre-processing the sensor data, trains a clustering model to group characteristic data corresponding to the learning data into a preset number of clusters, and estimates brake judder of a target vehicle based on the learned clustering model.

Abstract: In a process for producing formate, a mixed enzyme by mixing hydrogenase (H2ase) with oxygen tolerance and formate dehydrogenase (FDH) with oxygen tolerance is prepared, and the mixed enzyme and a gas including H2, CO2 and NAD+ are mixed such that formate may be produced even in the presence of oxygen, and thereby utilizing hydrogen sources including oxygen, such as coke oven gas.

Abstract: An apparatus for tuning a brake curve based on machine learning includes: a machine learning unit learning a braking tendency based on actual brake data, the braking tendency referring to a deceleration of a vehicle according to a brake operation amount by a driver; and a tuning unit tuning a preset brake curve according to the learned braking tendency, the preset brake curve having deceleration predetermined according to the brake operation amount.

Abstract: A breast cancer risk assessment method of a breast cancer risk assessment system using a mammography image according to an embodiment includes generating, by the breast cancer risk assessment system, assessment data including breast density information generated by measuring density of an assessment target breast from a mammography image of the assessment target breast, and breast pattern information generated by extracting a characteristic pattern of the assessment target breast from the mammography image, and calculating, by the breast cancer risk assessment system, a breast cancer occurrence risk degree of the assessment target breast by applying a preset weight to each of pieces of information included in the assessment data.

Abstract: Provided is a pharmaceutical composition for preventing or treating osteoarthritis, the pharmaceutical composition including, as an active ingredient, obtusifolin, a derivative thereof, or a pharmaceutically acceptable salt thereof. The composition according to an aspect inhibits cartilage destruction-promoting factors and alleviates inflammatory responses, thereby exhibiting significantly excellent effects for preventing or treating osteoarthritis.

Abstract: A coated cutting tool having excellent wear resistance and controlled brittleness is provided. An embodiment of the present disclosure provides a coated cutting tool including: a substrate; and a cutting layer disposed on the substrate, wherein: the cutting layer includes a brittleness suppressing layer and a wear-resistant layer disposed on the brittleness suppressing layer; the substrate includes a hard alloy body such as cemented carbide, cermet, ceramic, cubic boron nitride-based materials, or high-speed steel; the brittleness suppressing layer includes a first layer and a second layer disposed on the first layer; the first layer and the second layer each independently includes any one of (AlbTi1-b)X (where 0.6<b<0.8, and X is at least one selected from N, C, CN, NO, CO, and CNO) and (TicAl1-c)X (where 0.4<c?0.5, and X is at least one selected from N, C, CN, NO, CO, and CNO); and the first layer and the second layer include materials different from each other.

Abstract: Described herein are mesenchymal stem cells (MCS) expressing hybrid allosteric receptors (HAR) that are responsive to stromal cell-derived factor 1 alpha (SDF-1?) secreted from acutely infarcted myocardium. Binding of SDF-1? to CXCR4 activates the co-stimulatory signals, bone morphogenetic protein 2 type II receptor (BMP2R2) and BMP type I receptor (ALK3), in order to accelerate the differentiation into cardiomyocytes. HAR-MSC CXCR4 differentiates into cardiomyocytes through Smad1/5 phosphorylation induced by the BMP2 signaling. In acute myocardial infarction (AMI) models, HAR-MSC CXCR4 treatment leads to the functional improvements by facilitated differentiation and increased cytokine secretion. HAR-MSC CXCR4 cells can be used for the treatment of AMI.

Abstract: A device for optimizing and/or improving a simulator parameter of a semiconductor device is provided. The device comprises a memory configured to store an evolution pool, and an input tensor-score pair, and a processor configured to sample a generator network in the evolution pool, initiate a critic network to train the sampled generator network, generate an input tensor from the trained generator network, initiate a simulator to perform a black box operation on the input tensor and to output a score as a result of the operation, and store the input tensor and the score in the memory as a input tensor-score pair, store information used in the black box operation in the evolution pool when the output score is greater than a minimum score, sort the stored information, and update the evolution pool such that only a preset number of information is left in the evolution pool.