• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.27 no.4
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• pp.16-44
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• 2014

Objective : To search the trend of studying thread-embedding therapy in Korean medicine academia up to now and to expand the range of using thread-embedding therapy in the future, this study was designed. Methods : Using search portal sites the following; http://oasis.kiom.re.kr, http://www.riss.re.kr, collected 37 articles and devided those three parts and classificated those into four subsection as follows; total analysis, original article, case report. Results : The number of articles are 8 review articles, 14 original articles, 15 case reports. In the year 2013, 14 articles were published and ranked highest(37.8%). The journal of acupuncture & moxibustion medicine society ranked highest(40.5%). 5 persons ranked highest(32.4%) in number of author. Facial beauty care ranked highest(21.6%) in clssification of disease. Remedy item ranked highest(50.0%) in classification of subjects of 8 review articles. No more than 25 persons ranked highest(66.7%) and 6~12months of treatment period ranked highest(33.3%) in 14 original articles. Conclusions : Thread-embedding therapy is considered very useful on various part of Korean medicine clinic. We need to expand application scope of thread-embedding therapy in the future.

• International journal of advanced smart convergence
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• v.8 no.1
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• pp.1-8
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• 2019

Coronaviruses are known respiratory pathogens. In the past, most human coronaviruses were thought to cause mild symptoms such as cold. However recently, as seen in the Severe Acute Respiratory Syndrome (SARS) and the Middle East Respiratory Syndrome (MERS), infectious diseases with severe pulmonary disease and respiratory symptoms are caused by coronaviruses, making research on coronaviruses become important. Considering previous studies, we constructed 'HCoV-IMDB (Human Corona Virus Immune Database)' to systematically provide genetic information on human coronavirus and host immune information, which can be used to analyze the interaction between human coronavirus and host immune proteins. The 'HCoV-IMDB' constructed in the study can be used to search for genetic information on human coronavirus and host immune protein and to download data. A BLAST search specific to the human coronavirus, one of the database functions, can be used to infer genetic information and evolutionary relationship about the query sequence.

• Knee surgery & related research
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• v.30 no.4
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• pp.356-363
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• 2018

Purpose: A meta-analysis was performed to assess the outcomes following surgical intervention for medial knee plica. Materials and Methods: A literature search of Medline, EMBASE, CINAHL and Cochrane CENTRAL was performed using relevant key words. The primary outcome was patient-reported postoperative scores of "good" and "excellent". Meta-analyses were performed using a random effects model. Results: The literature search identified 731 articles. After removing duplicates and those not meeting the inclusion criteria, 12 articles reporting on a total of 643 knees were included for analysis, and of these, 7 articles including 235 knees were used for meta-analysis. The overall rate of good and excellent outcomes following surgery was estimated at 84.2% (95% confidence interval [CI], 72.8-91.4). In those cases that had non-surgical therapy prior to surgery, the rate of good and excellent outcomes of surgery was estimated at 76.1% (95% CI, 60.1-87). Conclusions: Arthroscopic surgical management of symptomatic medial knee plica results in favourable outcomes. Our results suggest that arthroscopic surgical excision should be considered as a treatment modality in patients with pathological medial plica disease of the knee either as a first-line treatment or when symptoms have not responded to non-surgical interventions. Level of Evidence: IV.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.4
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• pp.1128-1145
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• 2022

Owing to the rapid development of information science, data analysis based on machine learning has become an interdisciplinary and strategic area. Marine predators algorithm (MPA) is a novel metaheuristic algorithm inspired by the foraging strategies of marine organisms. Considering the randomness of these strategies, an improved algorithm called co-evolutionary cultural mechanism-based marine predators algorithm (CECMPA) is proposed. Through this mechanism, search agents in different spaces can share knowledge and experience to improve the performance of the native algorithm. More specifically, CECMPA has a higher probability of avoiding local optimum and can search the global optimum quickly. In this paper, it is the first to use CECMPA to perform feature subset selection and optimize hyperparameters in support vector machine (SVM) simultaneously. For performance evaluation the proposed method, it is tested on twelve datasets from the university of California Irvine (UCI) repository. Moreover, the coronavirus disease 2019 (COVID-19) can be a real-world application and is spreading in many countries. CECMPA is also applied to a COVID-19 dataset. The experimental results and statistical analysis demonstrate that CECMPA is superior to other compared methods in the literature in terms of several evaluation metrics. The proposed method has strong competitive abilities and promising prospects.

• Journal of muscle and joint health
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• v.28 no.2
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• pp.200-208
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• 2021

Purpose: The purpose of this study was to establish the foundations for the application of appropriate programs for pain reduction in patients with rheumatoid arthritis. Methods: The literature on patients with rheumatoid arthritis were found on an electronic search site for South Korean academic papers. The search terms "rheumatism" and "rheumatoid arthritis" were used independently. The combined terms "rheumatism and pain" and "rheumatoid arthritis and pain" were also used. For the meta-analysis, the R version 3.5.1 program was utilized. Results: The meta-analysis of eight papers showed a large effect size of -4.11. The programs were most effective in the order of aquatic exercise, aromatherapy, self-help education, muscle strength exercises, and tai chi. Conclusion: This study could provide the basis for presenting appropriate programs for pain management in patients with rheumatoid arthritis.

• Journal of Convergence Korean Medicine
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• v.3 no.1
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• pp.15-27
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• 2022

Objectives: This study was conducted to review the overall concept of nutritional evaluation of infants and young children. Methods: Literature search was done to study definition, method and importance of nutritional evaluation of infants and young children. Pubmed and Google scholarship were used in the research. Search words were 'Nutritional evaluation', 'infants' and 'young children'. Results: Nutrition evaluation is mainly used by physical measurement, clinical evaluation, dietary intake survey, and biochemical test depending on the age and disease. The treatment method for 治未病, which is a concept of korean medicine, and 健兒法 for treating the concept of weak children are considered to have very high applicability in solving various problems found through nutrition evaluation in korean medical approach. Conclusion: Infants and children are the fastest growing period of their lives, showing rapid growth in physical, and emotional development along with rapid brain growth. Therefore, inadequate nutrition during this period affects mental and physical growth and development not only during that period but also throughout life. Nutrition evaluation is divided into regular evaluation that includes children in all growing seasons and screening evaluation for problem solving, and follow-up nutritional evaluation that evaluates nutritional status in the long run. For each nutritional evaluation, evaluation is conducted by physical measurement, clinical evaluation, dietary intake survey, and biochemical test. By comprehensively interpreting them, nutritional status is determined. This study provides basic data on the proper nutrition evaluation method to identify and correct nutritional problems such as growth level, nutritional deficiency, and nutritional excess early.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.367-369
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• 2022

With the development of web technology, the web provides customized information that meets the needs of users. Information is provided according to the input form and the user's query, and a web service that provides information that is difficult to search with a search engine is called an in-depth web. These deep webs contain more information than surface webs, but it is difficult to collect information with general crawling, which collects information at the time of the visit. The deep web provides users with information on the server by running script languages such as javascript in their browsers. In this paper, we propose an algorithm capable of exploring dynamically changing websites and collecting information by analyzing scripts for deep web collection. In this paper, the script of the bulletin board of the Korea Centers for Disease Control and Prevention was analyzed for experiments.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.196-202
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• 2024

Currently, the second most devastating form of cancer in people, particularly in women, is Breast Cancer (BC). In the healthcare industry, Machine Learning (ML) is commonly employed in fatal disease prediction. Due to breast cancer's favorable prognosis at an early stage, a model is created to utilize the Dataset on Wisconsin Diagnostic Breast Cancer (WDBC). Conversely, this model's overarching axiom is to compare the effectiveness of five well-known ML classifiers, including Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), K-Nearest Neighbor (KNN), and Naive Bayes (NB) with the conventional method. To counterbalance the effect with conventional methods, the overarching tactic we utilized was hyperparameter tuning utilizing the grid search method, which improved accuracy, secondary precision, third recall, and finally the F1 score. In this study hyperparameter tuning model, the rate of accuracy increased from 94.15% to 98.83% whereas the accuracy of the conventional method increased from 93.56% to 97.08%. According to this investigation, KNN outperformed all other classifiers in terms of accuracy, achieving a score of 98.83%. In conclusion, our study shows that KNN works well with the hyper-tuning method. These analyses show that this study prediction approach is useful in prognosticating women with breast cancer with a viable performance and more accurate findings when compared to the conventional approach.

• Journal of fish pathology
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• v.33 no.1
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• pp.55-62
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• 2020

In order to search candidates for the treatment of myxosporean emaciation disease of olive flounder, Paralichthys olivaceus, in vitro and in vivo experiments were conducted using products such as Coxi-stop, Coxiclin, and BLEAN80. In the case of Coxi-stop, whose major component is toltrazuril, in vitro experiment using BF-2 cells showed a tendency of reducing the activity of myxosporea and did not exhibit cytotoxicity such as cell lysis. In the in vivo activity measurements, the experimental group immersed with Coxi-stop showed a lower cumulative mortality rate than the control group, this result is similar to the previous report that toltrazuril has a therapeutic effect on parasitic fish disease. This study suggests that toltrazuril is a potential candidate for the treatment of emaciation disease of olive flounder.