Abstract: Disclosed is a natural language processing (NLP)-based personality assessment device. The personality assessment device includes a questionnaire providing unit configured to transmit, to a terminal, a message that includes a plurality of interview questions and at least one directive sentence and to receive, from the terminal, a first response to each of the plurality of interview questions and a second response to the at least one directive sentence; a preprocessing unit configured to preprocess at least one of the first response and the second response; and a personality prediction unit configured to predict personality of a user of the terminal using a preprocessing result by the preprocessing unit.

Abstract: An apparatus is provided. The apparatus includes a memory, a second type spectrum measurer, and a processor. The memory stores an individualized blood sugar estimation model. The second type spectrum measurer measures second type spectrum data for a skin of a user. The processor calculates blood sugar of the user based on the measured second type spectrum data and the individualized blood sugar model. The blood sugar model is generated based on blood sugar profile data of the user calculated based on a first type spectrum-blood sugar profile relationship model and training second type spectrum data for the skin of the user.

Abstract: Disclosed are a low-temperature de-NOx catalyst using a ceria-alumina complex support, and a method of manufacturing the same. According to the present invention, provided is a low-temperature de-NOx catalyst using a ceria-alumina complex support, manufactured by impregnating noble metal and metal oxides into a ceria-alumina complex support synthesized by treating a ceria precursor and an alumina precursor in a predetermined mass ratio by a co-precipitation method.

Abstract: The present invention relates to a nanohelix-substrate complex for controlling adhesion and polarization of macrophages, a manufacturing method thereof, and a method of controlling adhesion and polarization of macrophages by using the nanohelix-substrate complex, and the method of controlling adhesion and polarization of macrophages may temporally and reversibly control adhesion and phenotypic polarization of macrophages in vivo and ex vivo by controlling application/non-application of a magnetic field to the nanohelix-substrate complex.

Abstract: Disclosed is an antidepressant composition containing a Pleurotus eryngii extract as an active ingredient, and particularly a food composition and a pharmaceutical composition for preventing, ameliorating, or treating depression containing an extract or fraction of Pleurotus eryngii as an active ingredient. The Pleurotus eryngii extract can inhibit binding between serotonin receptors and selective serotonin reuptake inhibitors by acting on serotonin receptors, can activate signaling mediated by serotonin receptors by acting on serotonin receptors, and can reduce immobility time in a forced swimming test using animal models, and is thus useful in functional foods and pharmaceuticals for preventing, ameliorating, or treating depression.

Abstract: The present disclosure relates to a nanosensor for real-time monitoring of wound healing, a manufacturing method thereof, and a real-time monitoring system for wound healing using the same. A nanosensor according to example embodiments includes a biomarker for detecting mRNA and a reference gene on gold nanoparticles, thereby providing an objective indicator through monitoring of wound healing, enabling monitoring of wound healing through direct monitoring using real-time fluorescence by including a fluorescent marker in a nanoflare, and enabling evaluation of a whole wound healing process in normal and patient groups (diabetes) through real-time monitoring. In addition, the nanosensor according to the example embodiments has advantages of shortening synthesis time and improving efficiency by 30% through integration of a novel synthesis method (freezing method) rather than an existing synthesis method (salt aging).

Abstract: The present invention relates to a technical idea of cooling the surface of a material or the internal temperature under the material by emitting heat under an element to the outside while minimizing absorption of light in the solar spectrum, and more particularly to a technology for developing a material having a high transmittance or high reflectance with respect to incident sunlight and a high absorptivity selectively in a wavelength range of 8 ?m to 13 ?m corresponding to the sky window section of the atmosphere.

Abstract: The present invention relates to a method of diagnosing and treating endometrial cavity-distorting leiomyoma using microRNA, and particularly, a composition and a kit for diagnosing uterine leiomyoma, the composition and the kit including an agent capable of detecting a microRNA expression level in a biological sample; a method of diagnosing uterine leiomyoma of a subject, the method including measuring a microRNA expression level in a biological sample from the subject, and diagnosing that the subject has uterine leiomyoma having endometrial cavity distortion or uterine leiomyoma having a likelihood of developing endometrial cavity distortion, when the microRNA expression level is downregulated; and a method of treating uterine leiomyoma, the method including measuring a microRNA expression level in a biological sample from a subject, and performing uterine leiomyoma treatment when the microRNA expression level is downregulated.

Abstract: A drug injection control device generates a policy model by learning a change in anesthetic state information due to a drug injection rate set so that anesthetic state information of a patient follows target anesthetic state information, generates a prediction model by learning a change in the anesthetic state information according to a change in the drug injection rate, sets the drug injection rate from the anesthetic state information based on the policy model, and predicts expected anesthetic state information from the set drug injection rate and a previously set drug injection rate based on the prediction model.

Abstract: Disclosed are a magnetic tunnel junction structure and a magnetic memory device including the same. The magnetic tunnel junction structure may include a first spacer layer, a first magnetic layer on the first spacer layer, and a second spacer layer on the first magnetic layer. The first spacer layer and the second spacer layer may include a same material, and a thickness of the first spacer layer may range from 1 nm to 3.5 nm.

Abstract: The present invention relates to an apparatus for classifying sounds based on a neural code in a spiking neural network and a method thereof. A method of classifying sounds based on a neural code in a spiking neural network includes: receiving sounds to be classified and digitally converting the received sounds into sound data; preprocessing the sound data using a multiple neural code-based encoding method including rate code encoding and synchrony code encoding; inputting the preprocessed sound data to a biological spiking neural network to extract features; performing biological spike timing-dependent plasticity (STDP) rule-based learning using the extracted features; and performing classification of the sounds according to neural code propagation characteristics using a test dataset according to a result of the performing of the learning.

Abstract: A semiconductor device may include an active pattern on a substrate, a lower channel pattern on the active pattern and including first and second lower semiconductor patterns, an upper channel pattern on the lower channel pattern and including first and second upper semiconductor patterns, a pair of lower source/drain patterns on opposite sides of the lower channel pattern and a pair of upper source/drain patterns on opposite sides of the upper channel pattern, and a gate electrode surrounding the lower and upper channel patterns. The gate electrode may include a first upper portion between the first and second upper semiconductor patterns, and a first lower portion between the first and second lower semiconductor patterns. Each semiconductor pattern may include a first recess part having a first recess region on a top surface thereof, and a first protrusion part protruding from a bottom surface of the first recess part.

Abstract: Provided are a method of detecting abnormal financial transactions and an apparatus thereof. The apparatus includes: a memory in which an abnormal transaction detection program is stored; and a processor configured to execute the program. Upon execution of the program, the processor performs a data preprocessing operation to acquired payment data, extracts at least one feature adaptively determined in advance from results of the preprocessing operation, and uses the extracted feature to determine whether the payment data correspond to an abnormal transaction through a machine learning algorithm adaptively determined in advance.

Abstract: The present disclosure relates to neural electrode technology for measuring a biosignal of a human or applying a neural signal to the human, and a neural electrode assembly includes a body that is inserted into a uterus in a non-invasive manner, a recording neural electrode formed to measure a uterine contraction-evoked neural signal, the recording neural electrode being coupled to the body, and a stimulating neural electrode formed to stimulate a nerve entering the uterus to suppress the uterine contraction, the stimulating neural electrode being coupled to the body.

Abstract: The present invention relates to an apparatus for determining the location of a radiation source. The apparatus for determining the location of a radiation source according to the present invention comprises: a collimator part for selectively passing radiation therethrough according to the direction in which the radiation is incident; a scintillator part for converting the radiation incident from the collimator part into a light ray; a first optical sensor for converting the light ray incident from one end of the scintillator part into a first optical signal; a second optical sensor for converting the light ray incident from the other end of the scintillator part into a second optical signal; and a location information acquisition part for acquiring information on the location where the light ray is generated in the scintillator part, by using the second optical signal and the second optical signal.

Abstract: The microfluidic device for detecting nucleic acids includes: a chip main body; a sample chamber formed inside the chip main body and into which a sample is injected; a waste chamber spaced apart from the sample chamber and formed inside the chip main body; a connection conduit formed inside the chip main body to connect the sample chamber and the waste chamber to thereby form a flow path of the sample in the sample chamber, and having an inlet connected to the sample chamber and an outlet connected to the waste chamber; a nucleic acid detection layer provided at the inlet of the connection conduit and having at least one micropore passing therethrough in the flow direction of the sample; and a probe linker formed on the surface of the nucleic acid detection layer.

Abstract: The present invention relates to a liquid metal based fabrication method, and the method for fabricating an electrode based on a liquid metal, according to the present invention, comprises the steps of: preparing a first substrate having a self-assembled monolayer (SAM) on one surface thereof; and printing a liquid metal in a predetermined pattern to be in contact with the surface of the self-assembled monolayer by using a printing device including a needle from which the liquid metal is discharged, and a controller for controlling the movement of the needle, thereby forming a liquid metal electrode.

Abstract: The present invention relates to a technical idea of monitoring a heart condition by analyzing biosignals measured using a sensor device for detecting a heart condition. In a method of monitoring a heart condition according to one embodiment of the present invention, electrocardiogram signals are measured from a user, feature information is extracted by performing machine learning of the time domain of the measured electrocardiogram signals, a plurality of cardiac abnormality type models are determined by performing machine learning of the extracted feature information, classification accuracy for the determined cardiac abnormality type models is calculated, and a cardiovascular disease of the user is determined using the determined cardiac abnormality type models and public cardiovascular disease data based on the calculated accuracy. That is, the present invention relates to a technique for assisting medical diagnosis.

Abstract: Disclosed is a fluid monitoring apparatus. The fluid monitoring apparatus includes a chamber configured to store a fluid, a resonator in the chamber, a light source disposed on the chamber and configured to provide pump light to the resonator, a detector configured to detect laser light generated in the resonator, and a control unit connected to the detector and the light source and configured to identify a physical quantity in the fluid by detecting a resonance wavelength of the laser light using a detection signal of the laser light.

Abstract: A catalyst for purifying exhaust gas includes a first catalyst including a first metal oxide on which platinum (Pt) and rhodium (Rh) are supported, and a second catalyst including a second metal oxide on which palladium (Pd) and platinum (Pt) are supported, wherein the first catalyst and the second catalyst are physically mixed.