• The Journal of Internal Korean Medicine
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• v.44 no.4
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• pp.675-702
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• 2023

Objective: This study assessed the effectiveness of using Yijung-tang to treat chronic gastritis through a systematic review and meta-analysis of randomized controlled trials (RCTs). Methods: The search was conducted using keywords such as "gastritis", "Lizhong", "Yijung", and "Chronic gastritis" on July 31, 2023. A meta-analysis was conducted according to outcome measurements, such as total effective rate (TER), Traditional chinese medicine symptom score (TSS), gastric hormones, and symptom relief time, using the Review Manager website. Results: A total of 11 RCT studies were selected. The treatment group (Yijung-tang-gagam or Yijung-tang-gagam+Western medicine) showed significant improvement effects in terms of TER, TSS, serum gastrointestinal hormones (motilin (MTL), gastrin (GAS), and somatostatin (SS)), and symptom relief time compared to the control group (Western medicine). TER-RR : 1.20, 95% CI : 1.11 to 1.30, P≤0.00001, RR : 1.21, 95% CI : 1.14 to 1.28, P≤0.00001; MTL-MD : 35.99, 95% CI : 30.79 to 41.20, P≤0.00001); GAS-MD : 103.33, 95% CI : 97.62 to 109.04, P≤0.00001); SS : MD : -37.19, 95% CI : -41.75 to -32.64, P≤0.00001; symptom relief time (nausea)-MD : -1.96, 95% CI : -2.47 to -1.45, P≤0.00001; symptom relief time (colic)-MD : -1.75, 95% CI : -2.31 to -1.18, P≤0.00001. Conclusion: This study suggests that Yijung-tang is effective against chronic gastritis. However, the number of studies was insufficient, and the diagnosis and evaluation criteria were not standardized. Furthermore, because of the low quality of the included studies, more clinical studies need to be conducted to increase the possibility of clinical use.

• Phonetics and Speech Sciences
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• v.15 no.4
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• pp.1-10
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• 2023

This study investigated the relative effectiveness of letter-based versus syllable-based measures of speech rate and articulation rate in predicting the articulation score, prosody fluency, and rating sum using "English speech data of Koreans for education" from AI Hub. We extracted and analyzed 900 utterances from the training data, including three balanced age groups (13, 19, and 26 years old). The study built three models that best predicted the pronunciation assessment scores using linear mixed-effects regression and compared the predicted scores with the actual scores from the validation data (n=180). The correlation coefficients between them were also calculated. The findings revealed that syllable-based measures of speech and articulation rates were more effective than letter-based measures in all three pronunciation assessment categories. The correlation coefficients between the predicted and actual scores ranged from .65 to .68, indicating the models' good predictive power. However, it remains inconclusive whether speech rate or articulation rate is more effective.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.3
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• pp.89-105
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• 2024

The purpose of the study is to examine the impact of ESG activities on brand value by linking the effectiveness of ESG activities to marketing, the most core part of a company. This study conducted an empirical analysis targeting companies listed on KOSPI and KOSDAQ from 2016 to 2022. Looking at the empirical analysis results of this study, first, in the individual analysis of ESG activities, it was confirmed that E (Environment) and G (Governance) have a significant positive influence on brand value. Second, in the environmental field, stakeholder response had a significant positive relationship with brand value, and in the governance field, the board of directors had a significant positive relationship with brand value. Through this study, we can provide logical evidence proving that ESG activities are important activities that must be carried out in advance to increase brand value. Among ESG activities, it was found that stakeholder response activities in the environmental field and board-related matters in the governance field play an important role in increasing brand value. It is also expected that it will serve as a catalyst for research on the importance of ESG activities in the marketing field.

• The Transactions of the Korea Information Processing Society
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• v.13 no.5
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• pp.221-226
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• 2024

In information retrieval, queries come in various types, ranging from abstract queries to those containing specific keywords, making it a challenging task to accurately produce results according to user demands. Additionally, search systems must handle queries encompassing various elements such as typos, multilingualism, and codes. Reranking is performed through training suitable documents for queries using DeBERTa, a deep learning model that has shown high performance in recent research. To evaluate the effectiveness of the proposed method, experiments were conducted using the test collection of the Product Search Track at the TREC 2023 international information retrieval evaluation competition. In the comparison of NDCG performance measurements regarding the experimental results, the proposed method showed a 10.48% improvement over BM25, a basic information retrieval model, in terms of search through query error handling, provisional relevance feedback-based product title-based query expansion, and reranking according to query types, achieving a score of 0.7810.

• Asia-Pacific Journal of Business
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• v.14 no.4
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• pp.191-204
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• 2023

Purpose - The purpose of this study was to analyse the relationship between R&D tax support policy and firm innovation activity using data on firms engaged in 12 national strategic technology sectors. Design/methodology/approach - This study collected survey data from 664 companies engaged in national strategic technologies. The data were then analysed using the Propensity Score Matching (PSM) analysis. Findings - First, corporate R&D tax support had a statistically significant positive (+) relationship with firm innovation performance. Second, there was a statistically significant positive (+) relationship with incremental innovation, but there was no statistical significance with radical innovation. Third, there was a statistically significant positive (+) relationship with the firm's first innovation, but there was no statistical significance with the world's first innovation. Fourth, there was a statistically significant positive (+) relationship with the number of R&D projects of a firm. Finally, there was a statistically significant positive (+) relationship with a firm's open innovation. Research implications or Originality - First, in terms of policy effectiveness, the government needs to consider promoting R&D tax support policies in areas where R&D competition is fierce. For private companies engaged in the 12 national strategic technology fields, the R&D tax support policy is working in the direction of promoting corporate innovation activities, and this positive policy effect is likely to be effective in areas where R&D competition is fierce. Second, if the government wants to improve the quality of corporate innovation activities through R&D tax support policies, it needs to provide incentives higher than the current level.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.37 no.3
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• pp.1-16
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• 2024

Objectives : The purpose of this study is to investigate the effectiveness and safety of herbal medicine treatment for acute pharyngitis. Methods : 2 databases(Wangfang Med Online, CNKI) were used to search Randomized Controlled Trials(RCTs) that used herbal medicine treatment for acute pharyngitis, which were published from January 2007 until April 2024. Results : 9 RCTs were selected in this study, and all studies compared herbal medicine alone treatment with western medicine alone treatment. The most frequently used medicine was Toxin-removing medicinal(淸熱解毒藥). Platycodonis Radix(桔梗) was the most frequently used herb. Meta-analysis of nine studies showed that the Total Effective Rate(TER) of treatment group was statistically higher than that of control group(RR:1.12, 95% CI:1.06 to 1.19, p<0.00001, I²=22%). Meta-analysis of 3 studies showed that the total symptom score of treatment group statistically improved than that of control group(MD: -1.00, 95% CI: -1.30 to -0.71, p<0.00001, I²=0%). Mild adverse events such as anorexia were identified in 4 RCTs, but no serious adverse events were reported. Conclusion : Using herbal medicine alone can be more effective and safe in improving acute pharyngitis than using western medicine. But further well-designed studies are needed because heterogeneity between studies existed and the quality of the reports needs to be improved.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1986-2009
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• 2024

The integration of blockchain technology with the rapid growth of Internet of Things (IoT) devices has enabled secure and decentralised data exchange. However, security vulnerabilities and performance limitations remain significant challenges in IoT blockchain networks. This work proposes a novel approach that combines transaction representation and machine learning techniques to address these challenges. Various clustering techniques, including k-means, DBSCAN, Gaussian Mixture Models (GMM), and Hierarchical clustering, were employed to effectively group unlabelled transaction data based on their intrinsic characteristics. Anomaly transaction prediction models based on classifiers were then developed using the labelled data. Performance metrics such as accuracy, precision, recall, and F1-measure were used to identify the minority class representing specious transactions or security threats. The classifiers were also evaluated on their performance using balanced and unbalanced data. Compared to unbalanced data, balanced data resulted in an overall average improvement of approximately 15.85% in accuracy, 88.76% in precision, 60% in recall, and 74.36% in F1-score. This demonstrates the effectiveness of each classifier as a robust classifier with consistently better predictive performance across various evaluation metrics. Moreover, the k-means and GMM clustering techniques outperformed other techniques in identifying security threats, underscoring the importance of appropriate feature selection and clustering methods. The findings have practical implications for reinforcing security and efficiency in real-world IoT blockchain networks, paving the way for future investigations and advancements.

• Journal of Dental Anesthesia and Pain Medicine
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• v.24 no.4
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• pp.245-264
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• 2024

Computer-controlled local anesthesia delivery (CCLAD) is an innovative electronic injection device that represents a cutting-edge approach to dental anesthesia. This system is promising for painless anesthesia using controlled anesthetic injections. This review aimed to compare the discomfort experienced by patients during local anesthesia using a traditional syringe and the CCLAD system and evaluate the potential of the CCLAD system as a painless dental anesthesia solution. The inclusion criteria for this study were based on the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. The study population, including children and adults, underwent dental anesthesia using the CCLAD system, ensuring a comprehensive and representative sample that instills confidence in the validity of the results. Fourteen clinical trials were included in the analysis after they fulfilled the eligibility criteria. We found that using computer-assisted anesthetic equipment not only led to a significantly lower pain perception score, but also had a profound positive impact on patient behavior. Patients using the CCLAD device exhibited more cooperative and helpful conduct, indicating the system's effectiveness in improving patient comfort and experience and reassuring the audience about its positive impact. In conclusion, using a computer-assisted anesthetic device such as the CCLAD system significantly reduced pain perception scores and improved patient behavior, making them more cooperative and helpful. These findings offer hope for pediatric dentistry and apprehensive adult patients, suggesting a more comfortable and less daunting dental experience with the CCLAD system.

• Structural Engineering and Mechanics
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• v.91 no.6
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• pp.643-656
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• 2024

The prediction of the moment rotation behavior of semi-rigid connections has been the subject of extensive research. However, to improve the accuracy of these predictions, there is a growing interest in employing machine learning algorithms. This paper investigates the effectiveness of using Multi-gene genetic programming (MGGP) to predict the moment-rotation behavior of flush-end plate connections compared to that of artificial neural networks (ANN) and previous studies. It aims to automate the process of determining the most suitable equations to accurately describe the behavior of these types of connections. Experimental data was used to train ANN and MGGP. The performance of the models was assessed by comparing the values of coefficient of determination (R²), maximum absolute error (MAE), and root-mean-square error (RMSE). The results showed that MGGP produced more accurate, reliable, and general predictions compared to ANN and previous studies with an R² exceeding 0.99, an RMSE of 6.97, and an MAE of 38.68, highlighting its advantages over other models. The use of MGGP can lead to better modeling and more precise predictions in structural design. Additionally, an experimentally-based regression analysis was conducted to obtain the rotational capacity of FECs. A new equation was proposed and compared to previous ones, showing significant improvement in accuracy with an R² score of 0.738, an RMSE of 0.014, and an MAE of 0.024.

• Journal of Korean Biological Nursing Science
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• v.26 no.3
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• pp.177-184
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• 2024

Purpose: Even after allergic rhinitis is diagnosed and treated, various symptoms such as runny nose, sneezing, and itchy nose recur periodically due to various environmental factors. Methods: This randomized controlled trial was conducted to confirm the effectiveness of mask-based aromatherapy as a method of alleviating allergic rhinitis during the coronavirus disease 2019 (COVID-19) pandemic. The study participants were adults between the ages of 19 and 60 who were diagnosed with allergic rhinitis and had a Total Nasal Symptom Score (TNSS) of 2 or more. Participants were randomly assigned to an aromatherapy group that was provided aromatherapy essential oils and a control group that did not receive aromatherapy. Participants in the aromatherapy group were asked to drop an aromatherapy essential oil onto a disposable face mask and wear it twice a day for two weeks. Results: The aromatherapy group experience significant alleviation of allergic rhinitis symptoms (visual analogue scale, F = 11.22, p < .001; TNSS, F = 15.82, p < .001). The aromatherapy group also showed significantly higher improvements in fatigue (F = 8.28, p < .001), allergic rhinitis-specific quality of life (F = 11.12, p < . 001). Conclusion: The oils used in this study appeared to be effective in relieving the symptoms of allergic rhinitis. In particular, the mask drop inhalation method was applied in light of mandatory mask-wearing due to the global COVID-19 pandemic during this study period. Mask drop inhalation is a method of inhaling oil close to the nose and is considered an effective method for reducing the inconvenience of applying oil.