Abstract: A battery assembly includes a battery module stack in which at least one battery module is stacked and formed, a cover portion coupled to a side of the battery module stack, and a substrate portion coupled to an external surface of the cover portion, wherein the cover portion includes a cover member coupled to the battery module stack, and a protrusion member protruding in an outward direction from the cover member and in contact with an internal surface of the substrate portion, the substrate portion includes an overlapping region which is a region overlapping the protrusion member when viewed in the outward direction, a through-hole passing through the overlapping region in the outward direction is formed in the overlapping region, and a pad region having electrically conductive properties is formed in a region surrounding the through-hole in the substrate portion.

Abstract: An example electronic device includes a display, a communication circuit, a memory, and at least one processor configured to, based on a signal for requesting transmission of identification information including a call word for using first mode of an artificial intelligence assistant function of the electronic device being received, from another electronic device, through the communication circuit using first communication method, control the display to display a user interface for requesting user confirmation for transmission of the identification information; control the communication circuit to transmit the identification information to the another electronic device as a result of user confirmation through the user interface; and receive information for using a second communication method from the another electronic device.

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.