Abstract: The present invention relates to a pharmaceutical composition containing ?-lapachone as an active ingredient for prevention or treatment of cholestatic liver disease, and can provide agents for effectively preventing and treating cholestatic liver disease.

Abstract: The present invention relates to an artificial intelligence air conditioning control system and method using interpolation. The present invention provides an artificial intelligence air conditioning control system and method using interpolation that is capable of driving an optimal control value by estimating the desired air conditioning target value through interpolation on the output values resulted from training on only minimal air conditioning data.

Abstract: A method for preventing or treating a metabolic disease includes administering to an individual a composition comprising at least one of a Lactobacillus plantarum-derived polysaccharide or and a Lactobacillus plantarum extract. The metabolic disease may be metabolic disease is at least one selected from the group consisting of insulin resistance, type 2 diabetes, hyperlipidemia, fatty liver, obesity and/or inflammation.

Abstract: A semiconductor device including: a first transistor which include a first gate stack on a substrate; and a second transistor which includes a second gate stack on the substrate, wherein the first gate stack includes a first ferroelectric material layer disposed on the substrate, a first work function layer disposed on the first ferroelectric material layer and a first upper gate electrode disposed on the first work function layer, wherein the second gate stack includes a second ferroelectric material layer disposed on the substrate, a second work function layer disposed on the second ferroelectric material layer and a second upper gate electrode disposed on the second work function layer, wherein the first work function layer includes the same material as the second work function layer, and wherein an effective work function of the first gate stack is different from an effective work function of the second gate stack.

Abstract: A blender includes a container body in which food is accommodated, a main body to support the container body, and an air guide provided in the main body to guide discharging of air flowing through a motor assembly to below the main body.

Abstract: A cathode for a lithium secondary battery includes a cathode current collector, and a cathode active material layer formed on the cathode current collector. The cathode active material layer includes cathode active material particles. The cathode active material particles include a lithium metal oxide particle containing nickel and having a mole fraction of cobalt of 0.02 or less among all elements except lithium and oxygen.

Abstract: A polarizing plate includes: a polarizer; a pattern layer on one surface of the polarizer, the pattern layer including a first refractive index layer having at least one engraved pattern and a second refractive index layer having a filling pattern filling at least a portion of the engraved pattern, the first refractive index layer having a higher refractive index than the second refractive index layer; and a first protective layer. The polarizing plate has a structure in which the polarizer, the second refractive index layer, the first refractive index layer and the first protective layer are sequentially stacked in that order, or in which the polarizer, the first protective layer, the second refractive index layer and the first refractive index layer are sequentially stacked in that order. The first protective layer includes a base film including at least one resin of triacetylcellulose, polyethylene terephthalate, cyclic olefin polymer, and acrylic resins.

Abstract: Provided is a process proximity effect correction method capable of efficiently improving the dispersion of patterns. There is a process proximity effect correction method according to some embodiments, the process proximity effect correction method of a process proximity effect correction device for performing process proximity effect correction (PPC) of a plurality of patterns using a machine learning module executed by a processor, comprising: training a sensitivity model by inputting a layout image of the plurality of patterns and a layout critical dimension (CD) of the plurality of patterns into the machine learning module; estimating an after cleaning inspection critical dimension (ACI-CD) sensitivity prediction value of the plurality of patterns by inferring an ACI-CD prediction value of the plurality of patterns; and determining a correction rate of the layout CD of the plurality of patterns using the estimated sensitivity prediction value.

Abstract: A method of reinforcement learning of a neural network device for generating a verification vector for verifying a circuit design comprising a circuit block includes inputting a test vector to the circuit block, generating one or more rewards based on a coverage corresponding to the test vector, the coverage being determined based on a state transition of the circuit block based on the test vector, and applying the one or more rewards to a reinforcement learning.

Abstract: A battery module includes a battery cell stack including a plurality of battery cells stacked and arranged in a first direction; a module housing in which the battery cell stack is housed; and a deformation preventing structure disposed between the outermost battery cell of a plurality of battery cells and the module housing, wherein the module housing includes a housing plate including a space part and disposed adjacent to the outermost battery cell, the deformation preventing structure includes: a pressure plate fixed to the housing plate and supported on the battery cell stack; and a spring structure accommodated in the space part of the housing plate and disposed between the pressure plate and the housing plate. The space part is constituted by a recess portion provided on one side of the housing plate facing the battery cell stack.

Abstract: Disclosed herein is a method for decoding a video including determining a coding unit to be decoded by block partitioning, decoding prediction syntaxes for the coding unit, the prediction syntaxes including a skip flag indicating whether the coding unit is encoded in a skip mode, after the decoding of the prediction syntaxes, decoding transform syntaxes including a transformation/quantization skip flag and a coding unit cbf, wherein the transformation/quantization skip flag indicates whether inverse transformation, inverse quantization, and at least part of in-loop filterings are skipped, and the coding unit cbf indicates whether all coefficients in a luma block and two chroma blocks constituting the coding unit are zero, and reconstructing the coding unit based on the prediction syntaxes and the transform syntaxes.

Abstract: A method for producing a battery module is provided. The method for producing a battery module includes: stacking a plurality of battery cells; disposing a plurality of bus bars adjacent to electrode leads respectively provided at the plurality of battery cells; by a welding jig, pressing the electrode leads so that the electrode leads come into contact with the bus bars, respectively; and welding the electrode leads and the bus bars through an opening formed in the welding jig.

Abstract: Disclosed herein are a QTBT split structure allowing blocks of various shapes capable of more efficiently reflecting various local characteristics of video and a method of efficiently signaling the split structure.

Abstract: The present disclosure relates to an organic electroluminescent device. The organic electroluminescent device of the present disclosure shows high luminous efficiency and good lifespan by comprising a specific combination of the plural kinds of host compounds and a specific hole transport compound.

Abstract: The present invention relates to a control system for an artificial intelligence-based vehicle integrated thermal management system, and a method of controlling the same. The objective of the present invention is to provide a control system for an artificial intelligence-based vehicle integrated thermal management system and a method of controlling the same, in which an optimal target value for performing optimal control of a vehicle thermal management system is calculated, a control signal for tracking the calculated optimal target value is generated, and the generated control signal may be implemented without departing from hardware characteristics of the vehicle thermal management system by implementing artificial intelligence learning control.

Abstract: Disclosed is a display device capable of reducing the thickness and the weigh thereof. In an organic light-emitting diode display device having a touch sensor, a plurality of routing lines, which are connected respectively to a plurality of touch sensors disposed on an encapsulation unit, are disposed on different planes so as to overlap each other and are electrically connected to each other through a plurality of routing contact holes. Thereby, a connection fault between the routing lines is prevented. In addition, through the provision of the touch sensors above the encapsulation unit, a separate attachment process is unnecessary, which results in a simplified manufacturing process and reduced costs.

Abstract: Provided is a method, performed by at least one computing apparatus, of generating an interpretable prediction result for a patient. The method includes receiving medical image data of a subject patient, receiving additional medical data of the subject patient, and generating information about a prediction result for the subject patient, based on the medical image data of the subject patient and the additional medical data of the subject patient, by using a machine learning prediction model.

Abstract: A hub-type electric driving device comprises: a housing having a wheel formed in the shape of a cup, and a cover of which the outer peripheral part is coupled to the opening of the wheel; a motor shaft having both end portions fixedly provided on a body outside of the housing; first and second bearings provided respectively in through-holes formed in the centers of the wheel and the cover, in order to rotatably support the housing around the motor shaft; and a BLDC motor which is embedded inside the housing and rotates the housing around the motor shaft, wherein the BLDC motor comprises: a rotor in which a back yoke and a magnet are stacked on a cylindrical inner wall of the wheel; and a stator of which the outer peripheral part faces the magnet of the rotor while having an air gap therewith and of which the central part is coupled to the outer circumference of the motor shaft so as to be fixed thereto, and which is for applying a rotating magnetic field to the rotor, wherein the stator has an integrated core

Abstract: A hub-type electronic driving device comprises: a housing comprising a wheel and a cover, the wheel having a rim formed on the outer periphery thereof such that a tire is coupled thereto, the wheel having the shape of a cup, one side of which is open, and the cover having an outer peripheral portion coupled to the opening of the wheel; a motor shaft having both ends fixedly installed on a body in which the hub-type electronic driving device is installed; first and second bearings installed in through-holes formed at centers of the wheel and the cover, respectively, so as to rotatably support the housing around the motor shaft; a BLDC motor contained in the housing so as to rotate the housing around the motor shaft; a cable containing multiple wires for applying a motor driving signal from a motor driving circuit installed outside the housing to the BLDC motor; and a cable guide assembly installed between the motor shaft and the first bearing supporting the wheel so as to maintain a sealing state when the cabl

Abstract: The present exemplary embodiments provide a sample separation device which applies an electric field to a selective ion permeable layer based on origami to concentrate a target material in a specific area and concentrates a target material and separates a non-target material through a filter layer in which a paper is compressed to adjust a size of micro pore.