This study examines the mediating effect of self-directed learning between the self-leadership and academic self-efficacy of beauty major Chinese(CN) students and examines the variables affecting the academic-self-efficacy of CN students. The study aims to obtain basic data to help improve college life in foreign countries. A survey was conducted upon 440 beauty major CN students in universities across Seoul. The results of the study showed differences in self-directed learning according to the number of semesters they have been in Korea and in academic self-efficacy according to their TOPIK levels. Self-directed learning was found to have a partial mediating effect between self-leadership and academic self-efficacy of CN students. These results showed that self-leadership and self-directed learning are major predictors of the academic self-efficacy, which is further reinforced when self-leadership and self-directed learning are promoted together. These results imply that there should be preceding efforts to promote both self-leadership and self-directed learning to increase the self-efficacy of CN students majoring in beauty.
Among the elderly and patients with mild brain diseases (such as dementia and stroke), when there is a certain degree of self-acting ability and cognitive ability, exercise and cognitive rehabilitation are often required. However, since most of the existing rehabilitation systems are separated or specialized in exercise or cognitive rehabilitation, there is a need for a form linking both. In this paper, we propose a game-type rehabilitation system that enables both exercise and cognitive rehabilitation using CAN communication protocol, one of ICT technologies. This system uses the CAN BUS structure to separate and combine each individual module constituting the rehabilitation system in various forms. A prototype of the proposed system was actually produced to show that various types of rehabilitation environments can be implemented according to the degree of cognitive ability and motor ability of the patient (or the elderly). In addition, through several experiments using this system, it is possible to implement exercise/cognitive parallel rehabilitation applicable to various environments.
The aim of the study was to evaluate the physiological activity of Lycium ruthenicum to investigate their potential as a raw material that can be used in the cosmetic industry. L. ruthenicum fruit extracts were obtained using 70% methanol(LRM) and hot-water(LRW). The DPPH and ABTS radical scavenging abilities were higher in the LRM extract than in the LRW extract. The FRAP value of LRM was about 1.3-fold greater than that of LRW. The polyphenol contents of LRM and LRW were 31.883±1.395 mg/g and 27.748±2.741 mg/g respectively. LRM inhibited the generation of NO in LPS-stimulated RAW264.7 cells. LRM also attenuated the expression of COX-2, PGE2, IL-6, and TNF-α induced by LPS. These results suggests that L. ruthenicum fruits could be use as a source of natural antioxidants and anti-inflammatory agent in cosmetic products.
The purpose of this study was to investigate the effect of reducing noise and streaking artefacts by applying the Boost3D algorithm in the case of noise and streaking artifacts generated during computed tomography of the shoulder joint. A phantom study using a thoracic phantom including shoulder joint and clinical evaluation were conducted through shoulder joint images of 35 patients who underwent computed tomography of the shoulder joint from September 2020 to October 2020. The evaluation was divided into groups before and after the application of the Boost3D algorithm, and the noise values, signal to noise ratio, and mean to standard deviation ratio values were analyzed. Both noise values and mean to standard deviation ratio values analyzed in phantom image evaluation and clinical image evaluation were statistically significantly lower in the group after Boost3D was applied (p<0.05). Through this study, it was found that noise and streak artifacts were reduced through the application of Boost3D, and the mean to standard deviation ratio was high, which can be judged as an excellent image. If the Boost3D algorithm is used for computed tomography of the shoulder joint, it is thought that excellent images can be obtained with reduced noise and streaking artifacts that may occur in the shoulder joint area.
For strengthening the national defense, the function of tactical network is essential. tactics and strategies in wartime situations are based on numerous information. Therefore, various reconnaissance devices and resources are used to collect a huge amount of information, and they transmit the information through tactical networks. In tactical networks that which use contention based channel access scheme, high-speed nodes such as recon aircraft may have performance degradation problems due to unnecessary channel occupation. In this paper, we propose a learning-backoff method, which empirically learns the size of the contention window to determine channel access time. The proposed method shows that the network throughput can be increased up to 25% as the number of high-speed mobility nodes are increases.
