Abstract: A robot wheel driving apparatus comprises: a wheel configured to rotate and move a robot, a motor housing provided inside the wheel and having a cylindrical shape, the motor housing defining an open surface, a motor inserted into the motor housing and configured to provide a rotational force to the wheel, an inverter cover connected to the motor and covering the open surface of the motor housing, and an aluminum electrolytic capacitor protruding from an inside of the inverter cover in a direction opposite to the inverter cover, at least a part of the aluminum electrolytic capacitor being accommodated in the motor.

Abstract: The present invention relates to a composition, a kit, a nucleic acid chip and a method which allow the diagnosis of liver cancer by detecting methylation levels of CpG sites of any one or more genes selected from the group consisting of FAM110A, FAR1, VIM, LDHB, LIPE, INAFM1, ATL1, CELF6, MTHFD2, PAK1, NXPE3, SLC25A36 and VANGL2. The present invention enables accurate and rapid diagnosis of liver cancer, and also enables early diagnosis.

Abstract: The present invention relates to an E. coli hisG-derived ATP-phosphoribosyltransferase variant having a reduced feedback inhibition by histidine and a strain expressing the same. The variant may maintain its activity even at a high histidine concentration, thus increasing histidine production.

Abstract: Proposed is a peptide for skin anti-aging and anti-wrinkle, comprising a glycine-histidine-lysine tripeptide and polyarginine linked to the carboxy-terminus of the tripeptide, and a composition for skin anti-aging and anti-wrinkle comprising the peptide. The peptide and composition may enter the cytoplasm more rapidly and efficiently than a conventional GHK tripeptide, and may exhibit skin anti-aging and anti-wrinkle effects similar to those of the GHK tripeptide even at a lower concentration than that of the GHK tripeptide.

Abstract: Disclosed is a method of detecting anomalies suspected of an attack based on time series statistics according to the present invention. The method of detecting anomalies suspected of an attack according to the present invention includes the steps of: collecting log data and traffic data in real-time and extracting at least one piece of preset traffic feature information from the collected log data and traffic data; and training through a time series analysis-based normal traffic training model using the extracted traffic feature information, and detecting abnormal network traffic according to a result of the training.