• BMB Reports
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• v.54 no.12
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• pp.608-613
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• 2021

Melanoma, the most serious type of skin cancer, exhibits a high risk of metastasis. Although chemotherapeutic treatment for metastatic melanoma improves disease outcome and patient survival, some patients exhibit resistance or toxicity to the drug treatment regime. OTUB1 is a deubiquitinating enzyme overexpressed in several cancers. In this study, we investigated the effects of inhibiting OTUB1 expression on melanoma-cell proliferation and viability and identified the underlying molecular mechanism of action of OTUB1. We did endogenous OTUB1 knockdown in melanoma cells using short interfering RNA, and assessed the resulting phenotypes via MTT assays, Western blotting, and cell-cycle analysis. We identified differentially expressed genes between OTUB1-knockdown cells and control cells using RNA sequencing and confirmed them via Western blotting and reverse transcription polymerase chain reaction. Furthermore, we investigated the involvement of apoptotic and cell survival signaling pathways upon OTUB1 depletion. OTUB1 depletion in melanoma cells decreased cell viability and caused simultaneous accumulation of cells in the sub-G1 phase, indicating an increase in the apoptotic-cell population. RNA sequencing of OTUB1-knockdown cells revealed an increase in the levels of the apoptosis-inducing protein TRAIL. Additionally, OTUB1-knockdown cells exhibited increased sensitivity to PLX4032, a BRAF inhibitor, implying that OTUB1 and BRAF act collectively in regulating apoptosis. Taken together, our findings show that OTUB1 induces apoptosis of melanoma cells in vitro, likely by upregulating TRAIL, and suggest that approaches targeting OTUB1 can be developed to provide novel therapeutic strategies for treating melanoma.

• Journal of Physiology & Pathology in Korean Medicine
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• v.35 no.5
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• pp.199-209
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• 2021

The purpose of this study was to explore objective indicators(outcomes) which are used to evaluate clinical efficacy and figure out the mechanisms of herbal medicine, acupuncture and moxibustion treatment for Irritable bowel syndrome(IBS). We searched randomized controlled trials(RCTs) that mediated with herbal medicine, acupuncture and moxibustion treatment for IBS and used objective indicators for outcome from November 1, 2020 to December 31, 2020. The RCTs that were published in Korean, English and Chinese were included in this study. The selected literatures were analyzed about methods of result measurement and assessed by Cochrane's risk of bias(RoB). Total 18 RCTs were included in this study. There were lots of objective indicators for result measurement; the concentration of hormones in blood and neurotransmitters, the sensitivity of rectum, the functional assessment of central nerve and autonomic nerve system, the change of intestinal flora, the concentration of serum cytokines. Various objective indicators can be used to evaluate the clinical efficacy of with herbal medicine, acupuncture and moxibustion treatment for IBS, but due to the limitations of the quality of the included studies, systematic review and meta-analysis will be needed.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.3
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• pp.47-58
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• 2021

Purpose : This study aimed to investigate the association between asthma and oral health and factors influencing asthma in adults. We also investigated whether asthma is related to mental health and physiological factors of blood. Methods : Data from 12,639 adults was taken from the 7th period (2016~2018) Korea National Health and Nutrition Examination Survey and analyzed using with SPSS 22.0 statistical program. Statistical analysis of data included frequency analysis, cross-analysis, and logistic regression analysis. For continuous data, an independent sample t-test was performed. The statistical significance level was defined as 0.05. Results : The probability of asthma occurrence was statistically different within general characteristics (gender, age, school grade, income, and drinking). By independent variables in a logistic regression analysis, the asthma diagnosis group had more people with speech discomfort (OR=1.37), chewing discomfort (OR=1.29), and oral pain (OR=.73). We found that people with asthma had a more unfavorable perception of their health (OR=1.73), suffered more depression (OR=.45), stress (OR=.66), and limited activity (OR=2.38). Moreover, the white blood cell count (OR=1.10) and high sensitivity C-reactive protein test (OR=1.06) also showed higher values than the control group. Conclusion : Our study showed that oral health and mental health were associated with the asthma, and influencing factors were oral health and behavior and mental health-related characteristics. Therefore, it is necessary to understand asthma-related risk factors for oral health and recognize the importance of systematic oral care education and regular dental visits for patients receiving asthma treatment. Thus, this study provides valuable insights on appropriate oral health management and prevention of asthma in patients.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.55-63
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• 2023

In this paper, we propose a function and service of the Disaster Crisis Alert Management System that automatically analyzes the situation judgment criteria to issue a disaster crisis alert and a plan to operate in the National Disaster Management System(NDMS). In the event of a disaster, a crisis alert(interest-caution-alert-serious) is issued according to the crisis alert level. In order to automatically analyze and determine the crisis alert level, first, data collection, crisis alert level analysis, crisis alert level judgment, and disaster crisis alert management system that expresses the crisis alert level by spatial scale(province, city, district) were implemented. The crisis alert level was analyzed and expressed in two ways by applying the intelligent crisis alert level(determination of regional sensitivity, risk level, and crisis alert level) and the crisis alert standard of the crisis management manual(province-level standard setting). Second, standard metadata, linkage of situation information of target) and API standards for data provision are presented to jointly utilize data linkage and crisis alert data of the disaster and safety data sharing platform so that it can be operated within the NDMS.

• Journal of The Korean Society of Integrative Medicine
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• v.10 no.3
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• pp.37-52
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• 2022

Purpose : The purpose of this meta-analysis was to evaluate the effects of electrical stimulation on patients with non-specific low back pain. Methods : Domestic databases were gathered from studies that conducted clinical trials associated with electrical stimulation and its impact on pain of non-specific low back patients. A total of 681 studies were identified, with 12 studies satisfying the inclusion data. The studies consisted of patient, intervention, comparison, outcome, and study design (PICO-SD). The search outcomes were items associated with low back pain. Cochrane risk of bias 2 (RoB 2) was used to evaluate the quality of 12 randomized controlled trials. Effect sizes (Hedges's g) in this study were computed as the corrected standard mean difference (SMD). A random-effect model was used to analyze the effect size because of the high heterogeneity among the studies. Egger's regression and 'trim-and-fill' tests were carried out to analyze the publication bias. Cumulative meta-analysis and sensitivity analysis were conducted to analyze the effect according to the sample size and the consistency of the effect size. Results : The following factors had a large overall effect size (Hedges's g=1.28, 95 % CI=.20~2.36) involving electrical stimulation on non-specific low back pain. The subgroup analysis all showed a statistical difference in the types of study design, electrical stimulation, and assessment tool. No statistically significant difference was found in the meta-regression analysis. Publican bias was found in the data. Conclusion : The findings in this study indicate that electrical stimulation interventions have a positive effect on patients with non-specific low back pain. However, due to the low quality of studies and publication bias, the results of our study should be interpreted cautiously.

• The Korean Journal of Physiology and Pharmacology
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• v.27 no.1
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• pp.49-59
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• 2023

Metabolic syndrome (MetS) involves multi-factorial conditions linked to an elevated risk of type 2 diabetes mellitus and cardiovascular disease. Pre-metabolic syndrome (pre-MetS) possesses two MetS components but does not meet the MetS diagnostic criteria. Although cardiac autonomic derangements are evident in MetS, there is little information on their status in pre-MetS subjects. In this study, we sought to examine cardiac autonomic functions in pre-MetS and to determine which MetS component is more responsible for impaired cardiac autonomic functions. A total of 182 subjects were recruited and divided into healthy controls (n=89) and pre-MetS subjects (n=93) based on inclusion and exclusion criteria. We performed biochemical profiles on fasting blood samples to detect pre-MetS. Using standardized protocols, we evaluated anthropometric data, body composition, baroreflex sensitivity (BRS), heart rate variability (HRV), and autonomic function tests (AFTs). We further examined these parameters in pre-MetS subjects for each MetS component. Compared to healthy controls, we observed a significant cardiac autonomic dysfunction (CAD) through reduced BRS, lower overall HRV, and altered AFT parameters in pre-MetS subjects, accompanied by markedly varied anthropometric, clinical and biochemical parameters. Furthermore, all examined BRS, HRV, and AFT parameters exhibited an abnormal trend and significant correlation toward hyperglycemia. This study demonstrates CAD in pre-MetS subjects with reduced BRS, lower overall HRV, and altered AFT parameters. Hyperglycemia was considered an independent determinant of alterations in all the examined BRS, HRV, and AFT parameters. Thus, hyperglycemia may contribute to CAD in pre-MetS subjects before progressing to MetS.

• Journal of Information Technology Applications and Management
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• v.30 no.1
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• pp.33-52
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• 2023

This study observes the difference in the actual regional ripple effect of the decrease in admission resources due to the decrease in school age population, which has been weak in empirical studies, and how much the decrease in competition rate by department nationwide provides a significant shock to the decrease in enrollment rate in the population unit. An empirical quantitative analysis was attempted. As a result of applying the panel-tobit regression model, a clear gap was confirmed in the decrease in the registration rate due to the decrease in the competition rate both nationally and in the provinces, and in particular, a highly significant relationship was derived with the decrease in the recruitment rate. In particular, the sensitivity of the risk of unrecruitment due to a decrease in competition rate was the highest in the Jeolla region (0.499), followed by the Gangwon region (0.475) and the Gyeongsang region (0.471), and the metropolitan region (0.158) was confirmed to be the most stable. This suggests that the gap in insufficient funding has gradually widened by region over the past 10 years, and that the shock wave becomes more pronounced in the provinces farther away from the metropolitan area. Based on this study, if we deviate from the standardized application of university development policies for the metropolitan area and regional universities, and present a customized higher education strategy for each region, it will be an opportunity to prevent local extinction due to a decrease in the school-age population and achieve coexistence with higher education institutions and regions at the same time.

• International Journal of Computer Science & Network Security
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• v.23 no.5
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• pp.148-162
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• 2023

Classification systems can significantly assist the medical sector by allowing for the precise and quick diagnosis of diseases. As a result, both doctors and patients will save time. A possible way for identifying risk variables is to use machine learning algorithms. Non-surgical technologies, such as machine learning, are trustworthy and effective in categorizing healthy and heart-disease patients, and they save time and effort. The goal of this study is to create a medical intelligent decision support system based on machine learning for the diagnosis of heart disease. We have used a mixed feature creation (MFC) technique to generate new features from the UCI Cleveland Cardiology dataset. We select the most suitable features by using Least Absolute Shrinkage and Selection Operator (LASSO), Recursive Feature Elimination with Random Forest feature selection (RFE-RF) and the best features of both LASSO RFE-RF (BLR) techniques. Cross-validated and grid-search methods are used to optimize the parameters of the estimator used in applying these algorithms. and classifier performance assessment metrics including classification accuracy, specificity, sensitivity, precision, and F1-Score, of each classification model, along with execution time and RMSE the results are presented independently for comparison. Our proposed work finds the best potential outcome across all available prediction models and improves the system's performance, allowing physicians to diagnose heart patients more accurately.

• Korean Journal of Veterinary Service
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• v.45 no.1
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• pp.19-30
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• 2022

In this study, a simple loop-mediated isothermal amplification (LAMP) combined with visual detection method (vLAMP) assay was developed for the rapid and specific detection of African swine fever virus (ASFV), overcoming the shortcomings of previously described LAMP assays that require additional detection steps or pose a cross-contamination risk. The assay results can be directly detected by the naked eye using hydroxynaphthol blue after incubation for 40 min at 62℃. The assay specifically amplified ASFV DNA and no other viral nucleic acids. The limit of detection of the assay was <50 DNA copies/reaction, which was ten times more sensitive than conventional polymerase chain reaction (cPCR) and comparable to real-time PCR (qPCR). For clinical evaluation, the ASFV detection rate of vLAMP was higher than cPCR and comparable to OIE-recommended qPCR, showing 100% concordance, with a κ value (95% confidence interval) of 1 (1.00~1.00). Considering the advantages of high sensitivity and specificity, no possibility for cross-contamination, and being able to be used as low-cost equipment, the developed vLAMP assay will be a valuable tool for detecting ASFV from clinical samples, even in resource-limited laboratories.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.189-197
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• 2023

The purpose of this study was to examine the effects of university students' entrepreneurial environment and entrepreneurial spirit on their entrepreneurial intentions. The results of the study are as follows. As for the correlation among entrepreneurial environmental factors affecting entrepreneurial intentions of college students, it was confirmed that educational environment, legal system and government support, and social values had static correlation coefficient values. It was predicted that the six detailed hypotheses would be valid and would have an impact, but unexpected results were also derived. First, the hypothesis that the entrepreneurial environment of college students will affect entrepreneurial intention was partially accepted. Employment environment and education environment were dismissed, legal system and government support. It was confirmed that social values had a positive (+) effect on entrepreneurial intention. Second, the hypothesis that entrepreneurship of college students will affect entrepreneurship intention was also partially accepted. Risk sensitivity was rejected, and innovation and initiative were confirmed to have a positive (+) effect.