• Korean Journal of Acupuncture
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• v.38 no.2
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• pp.43-61
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• 2021

Objectives : The purpose of this study is to review the acupuncture treatment for cold hypersensitivity of hands and feet. Methods : We searched articles in 7 search engines with keywords related to 'Cold hypersensitivity of hands and feet' and 'Raynaud disease' in March 2021. Clinical studies that used acupuncture for cold hypersensitivity of hands or feet were included. Animal studies and nonclinical data were excluded. Data on acupuncture treatment such as methods, site, duration, frequency, and period were analyzed. Also, network analysis between acupoints was conducted. Results : Of 41 selected articles, there were 32 case reports, 7 randomized controlled trials, and 2 uncontrolled clinical studies. Studies were conducted using manual acupuncture, electroacupuncture, warm needling, pharmacopuncture, fire needling, and auricular acupuncture. Most studies used more than one acupoint (n=40), and there were 111 acupoints selected for acupuncture treatment for cold hypersensitivity of hands and feet. The most commonly used acupoint was LI11 (n=27). In terms of the correlation of acupoints, LI11 had the highest value of degree centrality at 0.6989. The mean treatment time, number of treatments, and duration were 26.8±8.87 minutes, 15.51±15.75 times, and 77.69±132.80 days. Conclusions : The results of this study could be useful in establishing the evidence for performing standardized acupuncture treatment for cold hypersensitivity of hands and feet.

• The Journal of Industrial Distribution & Business
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• v.12 no.4
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• pp.35-51
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• 2021

Purpose: As the digital environment has expanded opportunity for consumers to acquire information from social media and social network services(SNS), With this environment, influencer has not only promoted products, but also participated in distribution and influencing on their followers. Despite the increasing interest in influencers, there has not been enough research on the structure of fashion influencer, relationship of immersion and purchase intention. This study examined the effects of fashion influencers' characteristics to the immersion of relationship with followers and purchase intention. Research design, data and methodology: For data collection, a pilot survey and the final survey were conducted. The pilot survey data was conducted to 50 female SNS users following fashion influencers. Based on the pilot tests, questionnaire was revised and the final survey was conducted online from august 22 to September 1, 2019 to female SNS users who have followed fashion influencer. A total of 408 data were collected, and exploratory factor analysis, correlation analysis, and structural equational modeling techniques were employed for the data analyses using AMOS 26.0 and SPSS 26.0. Results: First, five factors were extracted for the fashion influencers' characteristics: interactivity, similarity, reliability, expertise and attractiveness. Second, fashion influences' reliability, expertise, similarity, interactivity have a positive (+) effects on relationship immersion; however, attractiveness has no effect on relationship immersion with followers and fashion influencer. It was also determined that relationship immersion had positive (+) influences on purchase intention. The relationship immersion has been found to have a partially mediated effect and similarity has complete mediated effects between interactivity, reliability, and expertise of fashion influencers and purchasing intentions. In terms of fashion opinion leadership, it was found to have a significant influence on purchase intention only for low fashion leadership groups. Conclusions: The present study found the structural relationships among the influencer characteristics, relationship immersion and purchase intentions to provide framework for succeeding research. This research revealed academic association of intention of purchasing through use of fashion social media and fashion influencer marketing. The results also showed the practical implications that fashion influencers' expertise and reliability perceived by their followers are key determinants to success in influencer marketing.

• Human Ecology Research
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• v.59 no.3
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• pp.353-367
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• 2021

The purpose of this study was to examine the mediating effect of middle school students'self-deprecation in the relationship between upward social comparison in social network service (SNS) and depression and the moderated mediating effect of cognitive flexibility. The participants were 288 middle school students, in the first to third grades from four middle schools located in Seoul, Gyeong-gi, and Jeonnam. The date were analyzed with descriptive statistics, Pearson's correlation coefficients and the Process Macro Model 4, 1, and 14. The results of this study are as follows. First, an upward comparison in SNS has a significant positive influence on students'depression, and students' self-deprecation of students mediated the relation between two. Second, the level of control, which is a sub-factor of cognitive flexibility, moderated the mediating effect of self-deprecation. That is, if students are more likely to perceive difficult situations as controllable, upward social comparison in SNS mediated by self-deprecation has smaller effect on depression. Based on these results, we suggest practical interventions to reduce depression among middle school students by decreasing upward social comparison in SNS and self-deprecation. In addition, helping students perceive difficult situations as controllable could be another effective way of reducing depression among those students who have a high level of self-deprecation in upward social comparison in SNS.

• Korean Journal of Plant Resources
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• v.34 no.6
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• pp.575-599
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• 2021

The edible roots of radish (Raphanus sativus L.) are consumed worldwide. For characterization and evaluation of the agronomic traits and health-promoting chemicals in radish germplasms, new germplasm breeding materials need to be identified. The objectives of this study were to evaluate the phenotypic traits and glucosinolate contents of radish roots from 110 germplasms, by analyzing correlations between 10 quantitative phenotypic traits and the individual and total contents of five glucosinolates. Phenotypic characterization was performed based on descriptors from the UPOV and IBPGR, and glucosinolate contents were analyzed using liquid chromatography-tandem mass spectrometry in multiple reaction monitoring mode (MRM). Regarding the phenotypic traits, a significant correlation between leaf length and root weight was observed. Glucoraphasatin was the main glucosinolate, accounting for an average of 71% of the total glucosinolates in the germplasms; moreover, its content was significantly correlated with that of glucoerucin, its precursor. Principal component analysis indicated that the 110 germplasms could be divided into five groups based on their glucosinolate contents. High levels of free-radical scavenging activity (DPPH) were observed in red radishes. These results shed light on the beneficial traits that could be targeted by breeders, and could also promote diet diversification by demonstrating the health benefits of various germplasms.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.711-722
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• 2021

The purpose of this study is to explore the effects of employment for people with developmental disabilities on their social activities. As a research method, cross-analysis, correlation analysis, and logistic regression analysis were performed using questionnaire data on employment status and social activity for 391 persons with developmental disabilities. As a result of the analysis, first, employment for people with developmental disabilities was found to be significant in social activities. In other words, 79.7% of those with developmental disabilities who were employed participated in social activities, and 39.3% of those who were not employed. Second, employment for people with developmental disabilities, whose personal characteristics were carefully verified as a control variable, had a significant effect on social activities and increased by 5.2 times. According to the results of the study, it can be seen that active employment support for people with developmental disabilities and policy efforts for employment are required for participation in social activities of people with developmental disabilities. Finally it was suggested to supported employment, expand standard workplaces for the disabled, introduce a job coach system, and establish a network with related organizations.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.37-48
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• 2022

With development of Digital Technology, social issues are communicated through digital-based platform such as SNS and form public opinion. This study attempted to analyze big data from Twitter, a world-renowned social network service, and find out the public opinion. After collecting Twitter data based on 14 keywords for 1 year in 2021, analyzed the term-frequency and relationship among keyword documents with pearson correlation coefficient using Data-mining Technology. Furthermore, the 6 main topics that on the center of information security field in 2021 were derived through topic modeling using the LDA(Latent Dirichlet Allocation) technique. These results are expected to be used as basic data especially finding key agenda when establishing strategies for the next step related industries or establishing government policies.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.279-290
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• 2022

The popularization of mobile Internet applications has accelerated the development of smart tourism industry. Based on TAM and VAM theories, this paper studies the influencing factors of tourism App users' willingness to continue using through complex network and data analysis methods. Through the research, it is found that the improvement of service level and design concept of smart tourism application can accelerate the aggregation of complex networks and improve user engagement. At the same time, reasonable price service experience value, convenience service experience value, interactive service experience value, emotional design perception, ease of use design perception, entertainment design perception and other factors can have a direct impact on users' intention to continue to use, and there is a significant correlation. The smart tourism App's convenience and price advantage are the root of its competitiveness. The design concept can affect users' emotional experience and perceptual experience, and help smart tourism App improve users' satisfaction.

• Korean Journal of Optics and Photonics
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• v.33 no.3
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• pp.106-112
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• 2022

A two-dimensional optical code division multiple access (OCDMA) encoder/decoder, which is composed of add/drop filters and all-pass filters for delay operation, is proposed. An example design is presented, and its feasibility is illustrated through numerical simulations. The chip area of the proposed OCDMA encoder/decoder could be about one-third that of a previous OCDMA device employing delay waveguides. Its performance is numerically investigated using the transfer-matrix method combined with the fast Fourier transform. The autocorrelation peak level over the maximum cross-correlation level for incorrect wavelength hopping and spectral phase code combinations is greater than 3 at the center of the correctly decoded pulse, which assures a bit error rate lower than 10^-3, corresponding to the forward error-correction limit.

• Journal of Acupuncture Research
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• v.39 no.3
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• pp.213-221
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• 2022

Background: This study investigated the clinical effectiveness of Korean medicine (KM) treatment for shoulder impingement syndrome (SIS). Methods: There were 61 patients who were diagnosed with SIS in the Jaseng hospital network of KM (7 hospitals located in Korea: Gangnam, Daejeon, Bucheon, Haeundae, Bundang, Ulsan, and Gwangju) between January 1^st, 2015 and December 31^st, 2020 who were retrospectively reviewed. The patients were grouped according to complications, intake of analgesics, duration of illness preadmission, and treatment. Treatments consisted of herbal medicine, acupuncture, cupping, Chuna, pharmacopuncture, bee venom pharmacopuncture, medicinal steaming, Daoyin exercises, and physical therapy. By comparing the Numeric Rating Scale (NRS), Shoulder Pain and Disability Index, and European Quality of Life 5-Dimensions questionnaire scores, the effectiveness of integrated KM treatment was evaluated. Results: There were 14 males and 47 females. For inpatients diagnosed with SIS, the mean NRS score decreased from 5.78 ± 1.33 to 3.40 ± 1.43 (p < 0.001). The mean Shoulder Pain and Disability Index score decreased from 53.87 ± 14.76 to 38.56 ± 18.87 (p < 0.001), and the mean European Quality of Life 5-Dimensions questionnaire increased from 0.67 ± 0.13 to 0.76 ± 0.09 (p < 0.001) after KM treatment. Medicinal steaming (0.398; p < 0.001), acupuncture (0.290), cupping (0.288), bee venom pharmacopuncture (0.282), and Daoyin exercises (0.262; p < 0.05) had a positive correlation with improved changes in the NRS score. Conclusion: Conclusion: Treatment with integrated KM treatment improved the pain, range of motion, shoulder function, and quality of life of patients with SIS.

• Journal of Cadastre & Land InformatiX
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• v.51 no.2
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• pp.141-150
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• 2021

Fine dust is a substance that greatly affects human health, and various studies have been conducted in this regard. Due to the human influence of particulate matter, various studies are being conducted to predict particulate matter grade using past data measured in the monitoring network of Seoul city. In this paper, predictive model have focused on particulate matter concentration in May, 2019, Seoul. The air pollutant variables were used to training such as SO₂, CO, NO₂, O₃. The predictive model based on Adaboost, and training model was dividing PM₁₀ and PM_2.5. As a result of the prediction performance comparison through confusion matrix, the Adaboost model was more conformable for predicting the particulate matter concentration grade. Although air pollutant variables have a higher correlation with PM2.5, training model need to train a lot of data and to use additional variables such as traffic volume to predict more effective PM₁₀ and PM_2.5 distribution grade.