Abstract: A method, of training an anomaly detecting model using a plurality of pieces of graph data, includes: (a) inputting one piece of graph data that has not yet been input, among the plurality of pieces of graph data, to a graph neural network (GNN) AutoEncoder calculating a probability of each edge as input data; (b) calculating a difference value (hereinafter, “edge difference value”) between an edge probability value of reconstructed data output by the GNN AutoEncoder and an edge value of the input data; (c) calculating an average value (hereinafter, “positive edge loss”) of a positive edge and an average value (hereinafter, “negative edge loss”) of a negative edge using the edge difference value, and calculating an edge prediction loss value of the reconstructed data by summing the positive edge loss and the negative edge loss; (d) retraining the GNN AutoEncoder until the edge prediction loss value is minimized.

Abstract: A power control circuit for a vehicle includes a power switch, N-type semiconductor switches electrically connected between a power supply terminal to which an input voltage is applied and the power switch and in which the N-type semiconductor switches are connected back-to-back, a charge pump circuit for generating a drive voltage to drive the N-type semiconductor switches by boosting the input voltage, a reverse voltage protection circuit electrically connected between an output terminal of the charge pump circuit and a node in which the N-type semiconductor switches are connected to each other, a microcontroller for generating a pulse width modulation signal for the operation of the charge pump circuit, and a voltage attenuation circuit for attenuating the drive voltage and applying the attenuated drive voltage to the microcontroller.

Abstract: Provided are stretchable electronics and a method for manufacturing the same. The stretchable electronics may include a substrate, a plurality of electronic elements disposed to be spaced apart from each other on the substrate, and a wire structure disposed on the substrate to connect the plurality of electronic elements to each other. The wire structure may include an insulator extending from one of the electronic elements to the other of the adjacent electronic elements and a metal wire configured to cover a top surface and side surfaces of the insulator. The insulator may include at least one bent part in a plan view.

Abstract: The present invention relates to an oral health prediction apparatus and method using a machine learning algorithm, which, when a user uploads an oral photo, comprehensively analyzes whether the user has braces, a dental caries state, a prosthesis state, and the like through a photo analysis using the machine learning algorithm, to enable exact prediction of oral health of the user. When a user provides an oral image of the user through a network by using a user terminal and requests an oral health determination result, the present invention analyzes the oral image by using the machine learning algorithm to predict an oral health state, analyzes a dental caries state and a prosthesis state through the analysis of the oral image, predicts the oral health state on the basis of the analyzed dental caries state information or periodontitis state information and prosthesis state information, and provides oral health state prediction information to the user.

Abstract: Provided are a newly identified colon cancer marker and a diagnostic kit using the same. More particularly, the present invention relates to an identified colon cancer specific marker, a composition and a kit including agents determining presence of the marker, and a method of diagnosing colon cancer using the same. The diagnostic marker according to the present invention capable of detecting metastasis and prognosis of colon cancer may provide useful information for the treatment and management of colon cancer and be used for the development of colon cancer-specific anticancer agents.

Abstract: Provided are a newly identified colon cancer marker and a diagnostic kit using the same. More particularly, the present invention relates to an identified colon cancer specific marker, a composition and a kit including agents determining presence of the marker, and a method of diagnosing colon cancer using the same. The diagnostic marker according to the present invention capable of detecting metastasis and prognosis of colon cancer may provide useful information for the treatment and management of colon cancer and be used for the development of colon cancer-specific anticancer agents.