Abstract: The present invention provides a compound represented by chemical formula 1, an optical isomer thereof or a pharmaceutically acceptable salt thereof, and a pharmaceutical composition for preventing or treating Wnt/?-catenin signaling-associated diseases, comprising same.

Abstract: Disclosed is a wireless communication system, specifically, an apparatus and method for configuring a primary cell carrier/secondary cell carrier (PCC/SCC) prioritization only based on extremely partial channel state information in a wireless communication system. Specifically, a method of operating a user equipment (UE) in a wireless communication system includes: transmitting a sounding reference signal (SRS) or channel state information (CSI) to a base station; receiving a signal from the base station on the basis of the SRS or the CSI; and estimating a number of multi-paths using a neural network for the received signal, wherein the estimating of the number of multi-paths includes: re-shaping the received signal; extracting a singular value of the reshaped signal; and estimating the number of multi-paths based on the extracted singular value.

Abstract: A water purifier is provided. A water purifier according to one aspect of the present invention may include a housing having a first accommodation space therein, and made of a paper material; a water purifier faucet disposed in the first accommodation space to receive raw water and discharge purified water; and a filter coupled to the water purifier faucet to generate the purified water by filtering the raw water, wherein the water purifier faucet includes a base frame having a second accommodation space therein in which the filter is accommodated; a water inlet module provided on one side of the base frame to supply raw water introduced from the outside to the filter; and a water outlet module provided on the other side of the base frame to receive the purified water generated by the filter and discharge it to the outside.

Abstract: Disclosed are a spinning dope for an aramid and carbon-nanotube composite fiber and a method of manufacturing an aramid and carbon-nanotube composite fiber using the same.

Abstract: A motor drive device includes: a first inverter including a plurality of first switching elements and connected to a plurality of coils; a second inverter including a plurality of second switching elements and connected to the plurality of coils; a plurality of transfer switching elements connected to the second ends; a capacitor disposed at one side of a casing of a motor; first and second cooling channels disposed at both sides of the capacitor; a plurality of first power modules including some of the plurality of first switching elements and some of the transfer switching elements; and a plurality of second power modules including some of the plurality of second switching elements.

Abstract: The present invention relates to a method for preparing an alkali metal ion conductive chalcogenide-based solid electrolyte, a solid electrolyte prepared thereby, and an all-solid-state battery comprising the same.

Abstract: A system for scheduling machine learning jobs includes a user interface provision unit to transmit, to a user terminal, data for forming an input interface to receive job information including information indicative of a checkpoint file of a model to be executed and require resource information, a resource management unit to manage a job queue, wherein each item of the job queue includes the job information and annotation including an expected execution time, complement for an item in which the expected execution time is not recorded in the annotation by receiving the expected execution time from an execution time expectation unit, and execute job scheduling using the job information of each item of the job queue, and an execution time expectation unit to calculate memory usage necessary for executing the model using information of the checkpoint file and determine the expected execution time of the model, using the memory usage.

Abstract: A system for enhancing a prediction model according to an embodiment includes a storage module configured to receive and store inference data for input data from a prediction model, a retraining module configured to train a retraining model using retraining data including the inference data, and a determination module configured to compare performances of the prediction model and the retraining model and replace the prediction model with the retraining model according to the comparison result.