• Physical Therapy Rehabilitation Science
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• v.8 no.1
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• pp.22-31
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• 2019

Objective: For knee osteoarthritis (OA), there is a demand for alternative modalities in order to delay surgery and to avoid the side effects of medications. This study compared the effects of applying seaweed pack and mudpack for the treatment of knee OA. Design: Randomized controlled trial. Methods: Twenty-five patients with knee OA who satisfied the criteria were included. The patients were divided into two groups according to the treatment method: mudpack (n=12) and seaweed pack (n=13). The two groups were treated for 20 minutes, twice a day for five continuous days at the Ocean Healing Center at Wando Island, South Korea. Participants were assessed by clinical scores (Western Ontario and McMaster Universities Osteoarthritis Index, Hospital for Special Surgery Knee Score, Knee injury and Osteoarthritis Outcome Score and 36-Item Short Form Health Survey) and lab results (erythrocyte sedimentation rate, C-reactive protein, insulin-like growth factor-1 [IGF-1], tumor necrosis $factor-{\alpha}$ [$TNF-{\alpha}$]) during the follow-up period. Results: For the most part, clinical scores improved after therapy and maintained improvements for four weeks in both groups (p<0.05). In the seaweed group, $TNF-{\alpha}$ was significantly decreased at two weeks post-therapy (p<0.05). In both groups, IGF-1 was significantly increased immediately post-therapy (p<0.05). There were no statistically significant differences after therapy between the groups in clinical scores and labs. Conclusions: Seaweed packs and mudpacks had similar positive effects for knee OA. Additionally, the seaweed pack group showed decreased levels of $TNF-{\alpha}$ at two weeks post-treatment, which may explain the reduced inflammatory reaction. For rehabilitation therapy, use of seaweed packs may serve as an alternative modality for the treatment of knee OA.

• Clinics in Shoulder and Elbow
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• v.22 no.2
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• pp.79-86
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• 2019

Background: Increased oxidative stress and inflammation play a critical role in the etiopathogenesis of chronic tendinopathy. Melatonin is an endogenous molecule that exhibits antioxidant and anti-inflammatory activity. The aim of this study was to evaluate the biochemical and histopathological effects of exogenous melatonin administrations in supraspinatus overuse tendinopathy. Methods: Fifty rats were divided into the following four groups: cage activity, melatonin treatment, corticosteriod therapy, and control. Melatonin (10 mg/kg, intraperitoneal; twice a day) and triamcinolone (0.3 mg/kg, subacromial; weekly) were administered to the treatment groups after the overuse period. Biochemical and histopathological evaluations were performed on serum samples and biopsies obtained from rats. Plasma inducible nitric oxide synthase (iNOS), vascular endothelial growth factor (VEGF), total antioxidant status (TAS), total oxidant status (TOS), and oxidative stress index (OSI) levels were evaluated biochemically. Results: The TAS, TOS, OSI, iNOS, and VEGF values were significantly lower than the pre-treatment levels in rats receiving exogenous melatonin treatment (3 or 6 weeks) (p<0.05). TOS, iNOS, VEGF, and OSI values after 3 weeks of triamcinolone administration, and TOS, VEGF, and OSI levels after 6 weeks of triamcinolone application, were significantly lower than the pre-treatment levels (p<0.05). Conclusions: Exogenous melatonin application in overuse tendinopathy reduces oxidative stress and inflammation. Melatonin might be an alternative potential molecule to corticosteroids in the treatment of chronic tendinopathy.

• Journal of Nutrition and Health
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• v.54 no.5
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• pp.474-488
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• 2021

Purpose: Malnutrition in children with cerebral palsy (CP) is a significant factor affecting their adequate growth and development. This study aimed at conducting surveys and evaluating the dietary intake of children with CP according to their BMI classification and to thereby highlight the dietary factors affecting the nutritional status of these children. Methods: A total of 16 children were enrolled between the age of four and twelve. These subjects were further classified into three groups, namely underweight, normal and obese, with 6, 8, and 2 children in each group, respectively. The general characteristics, motor disturbances, body composition, feeding problems, eating habits, nutritional intake, dietary variety, and food frequency for children with CP were evaluated. Results: It was observed that motor disturbances tended to increase in underweight children with CP. A significant decrease (p < 0.05) in disturbances related to oral feeding was observed with an increase in obesity. The pattern of eating habits revealed that subjects in the underweight group consumed unbalanced meals, while those in the obese group tended to consume larger meals at a faster pace. The feeding disturbance data revealed that those in the underweight group could not prepare their meals while the obese group had the problem of overeating and consuming an unbalanced diet (p < 0.05). Conclusion: It is necessary for both children with CP, who have a high degree of disability, and their caregivers to take lessons on adequate nutrient intake to prevent malnutrition. Moreover, it is necessary for the caregivers and children with CP having a low degree of disability to take lessons on providing and consuming a balanced diet and to focus on the intake of sufficient calcium in order to prevent obesity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.1006-1014
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• 2020

Consumer expectations for drama VFX increased as the influx of overseas dramas increased due to the growth of OTT service, but the current production time of the drama production system has a negative effect on the quality and completion of work. This paper proposes a background rendering using a game engine and a subject rendering using background HDRI as environmental lighting. The proposed workflow is expected to reduce the production time of VFX and improve the quality of VFX. The proposed workflow was verified in 3 steps. Comparing game engine and rendering software according to the same lighting environment and camera distance, comparing rendering with existing rendering method and background HDRI generation, and validating the proposed workflow. For verification, quantitative evaluation was performed using Structual similarity index and histogram. This study is expected to be one of the options to improve the quality of VFX and improve the risk.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.3
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• pp.69-84
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• 2021

This study was conducted as a basic data for the management of the Uiseong Traditional Irrigation Agricultural System by identifying plant diversity and distribution characteristics. The total number of plant taxa was identified as 88 families, 250 genera, 368 species, 7 subspecies, 9 varieties and 384 taxa. In the case of life form, the domancy form was in the therophytes(th), the radicoid form was a R₅(monophyte), the disseminule form was the gravity D₄(having no special modification for dissemination), and the growth form was the erect form was high. The number of plant taxa by land use type was higher in mountainoustype reservoirs and plain type reservoirs than other land use types. The distribution of plants by land use type according to the hemeroby grade was plantation in the case of 3 grade(meso-hemeroby) forests, and the understory were mainly photophilic plants. With 4 grade(β-euhemeroby), traditional cemetery, plain type reservoirs, mountainoustype reservoirs, stream, and rice terraces are areas with relatively low intensive management and have a wide variety of flora, whereas 5 grade(α-euhemeroby) orchard were mainly distributed with ruderal plant due to high intensive management. As for the number of plant taxa by reservoirs, the Wisgol pond in the case of plain type reservoirs, Ungok pond was high in mountainous type reservoirs. The protected species were rare plants 2 classification groups of Vulnerable(VU) species, 4 classification groups of Least Concrned(LC) species, 1 classification group of Data Deficient(DD) species, 5 classification groups of Korean endemic plants, and 49 classification groups of invasive alien plants, and the total naturalization index was 12.2%.

• Journal of Veterinary Science
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• v.19 no.6
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• pp.808-816
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• 2018

Bacterial biofilms have been demonstrated to be closely related to clinical infections and contribute to drug resistance. Berberine, which is the main component of Coptis chinensis, has been reported to have efficient antibacterial activity. This study aimed to investigate the potential effect of a combination of berberine with ciprofloxacin (CIP) to inhibit Salmonella biofilm formation and its effect on expressions of related genes (rpoE, luxS, and ompR). The fractional inhibitory concentration (FIC) index of the combination of berberine with CIP is 0.75 showing a synergistic antibacterial effect. The biofilm's adhesion rate and growth curve showed that the multi-resistant Salmonella strain had the potential to form a biofilm relative to that of strain CVCC528, and the antibiofilm effects were in a dose-dependent manner. Biofilm microstructures were rarely observed at $1/2{\times}MIC/FIC$ concentrations (MIC, minimal inhibition concentration), and the combination had a stronger antibiofilm effect than each of the antimicrobial agents used alone at $1/4{\times}FIC$ concentration. LuxS, rpoE, and ompR mRNA expressions were significantly repressed (p< 0.01) at $1/2{\times}MIC/FIC$ concentrations, and the berberine and CIP combination repressed mRNA expressions more strongly at the $1/4{\times}FIC$ concentration. The results indicate that the combination of berberine and CIP has a synergistic effect and is effective in inhibiting Salmonella biofilm formation via repression of luxS, rpoE, and ompR mRNA expressions.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.2
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• pp.23-33
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• 2004

Because of a rapid growth of internet environment, it is also fast increasing to exchange message using e-mail. But, despite the convenience of e-mail, it is rising a currently bi9 issue to waste their time and cost due to the spam mail in an individual or enterprise. Many kinds of solutions have been studied to solve harmful effects of spam mail. Such typical methods are as follows; pattern matching using the keyword with representative method and method using the probability like Naive Bayesian. In this paper, we propose a classification method of spam mails from normal mails using Support Vector Machine, which has excellent performance in pattern classification problems, to compensate for the problems of existing research. Especially, the proposed method practices efficiently a teaming procedure with a word dictionary including a generated index by the n-Gram. In the conclusion, we verified the proposed method through the accuracy comparison of spm mail separation between an existing research and proposed scheme.

• Knowledge Management Research
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• v.22 no.2
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• pp.77-93
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• 2021

In order to continue to grow in response to the rapidly changing industrial environments, companies must retain technological innovation capabilities and enhance market competitiveness. When competition is intensifying for creating new businesses and developing new products through technology commercialization, creating and utilizing technology convergence performance is an important means to create new competitiveness. However, there has been a lack of effort to systematically understand the level of technology convergence performance of the enterprise and to understand its relationship with management performance. In this paper, we develop a new analytical index by segmenting the technology convergence into patent variety, balance and disparity using patented IPC code information based on the concepts presented in existing diversity studies. In addition, 4,522 patents granted for three years between 2013 and 2015 by 219 KOSDAQ companies belonging to the domestic ICT convergence industry were analyzed to demonstrate that the level of technology convergence performance is positively related to sales growth rate in 2016.

• International Journal of Knowledge Content Development & Technology
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• v.10 no.4
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• pp.29-46
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• 2020

The paper describes the quantitative and qualitative dimensions of artificial neural networks (ANN) in India in the global context. The study is based on research publications data (8260) as covered in the Scopus database during 1999-2018. ANN research in India registered 24.52% growth, averaged 11.95 citations per paper, and contributed 9.77% share to the global ANN research. ANN research is skewed as the top 10 countries account for 75.15% of global output. India ranks as the third most productive country in the world. The distribution of research by type of ANN networks reveals that Feed Forward Neural Network type accounted for the highest share (10.18% share), followed by Adaptive Weight Neural Network (5.38% share), Feed Backward Neural Network (2.54% share), etc. ANN research applications across subjects were the largest in medical science and environmental science (11.82% and 10.84% share respectively), followed by materials science, energy, chemical engineering and water resources (from 6.36% to 9.12%), etc. The Indian Institute of Technology, Kharagpur and the Indian Institute of Technology, Roorkee lead the country as the most productive organizations (with 289 and 264 papers). Besides, the Indian Institute of Technology, Kanpur (33.04 and 2.76) and Indian Institute of Technology, Madras (24.26 and 2.03) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. P. Samui and T.N. Singh have been the most productive authors and G.P.S.Raghava (86.21 and 7.21) and K.P. Sudheer (84.88 and 7.1) have been the most impactful authors. Neurocomputing, International Journal of Applied Engineering Research and Applied Soft Computing topped the list of most productive journals.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.163-170
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• 2022

The purpose of this study is to examine the research trend on social media influencers in Korea. To this end, a total of 178 papers on social media influencers were analyzed from 2009 to 2021 among the academic papers registered in the Korean Academic Citation Index. As a result, the early social media influencer research, which was limited to only a few fields such as fashion, beauty, and communication, has expanded to various ones as time passed and achieved quantitative growth. The proportion of empirical studies has been on the rise in recent years, and studies that applied qualitative research methodologies have shown a tendency to decrease. The proportion of research focusing on specific media platforms and influencer types gets lower, although both the characteristics of social media platforms and the attitudes of each influencer are very diverse. This study has academic significance in that it is the first empirical study to investigate the current status of the social media influencer research in Korea.