• International Journal of Industrial Entomology and Biomaterials
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• 제44권2호
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• pp.37-43
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• 2022

Silkworm food has been found to be effective for dementia, liver function, lowering blood sugar, and possesses antioxidant properties, which has been attracting attention as a health functional food. In this study, methods for enhancing the functionality of silkworms were explored and the production potential of high-functional silkworms was analyzed. For enhancing antioxidant activity, ascorbic acid, caffeic acid, laminarin, and glutathione were injected or fed to 5th instar silkworms, and the antioxidant activity of silkworm extract was comparatively analyzed. There was no significant change in polyphenol and flavonoid content, but it was confirmed that 2,2-diphenyl-1-picrylhydrazyl radical scavenging ability, superoxide dismutase-like activity, and reducing power were slightly increased after injection of ascorbic acid, caffeic acid, and glutathione. To confirm the increase in antioxidant efficacy through feeding, an inducer was mixed with sucrose and sprayed on mulberry leaves. As a result, the growth rate of silkworms improved and all indicators of antioxidant activity were improved in silkworms fed with ascorbic acid and glutathione. Considering these results, producing high-functional silkworms was deemed possible.

• 응용통계연구
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• 제35권1호
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• pp.1-17
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• 2022

본 논문에서는 모수적 부트스트랩을 이용한 두 차등정보보호 히스토그램의 동질성 검정을 제안한다. 제안된 검정 방법은 차등정보보호 히스토그램과 적용된 차등정보보호 수준 정보만 있을 때에도 사용 가능하며, 비교하고자 하는 두 히스토그램에 적용된 차등정보보호의 수준이 다를 때에도 사용할 수 있다는 장점이 있다. 검정 방법의 성능을 평가하기 위해 미국과 한국의 연령별 인구분포 자료를 사용하고, 제 1종 오류의 확률이 잘 통제됨과 높은 검정력을 확인한다.

• Journal of Acupuncture Research
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• 제39권3호
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• pp.170-181
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• 2022

This review evaluated the efficacy of electroacupuncture (EA) for chronic fatigue syndrome. Randomized controlled trials (RCTs) using EA as an intervention for patients with chronic fatigue syndrome were identified in 6 databases (PUBMED, EMBASE, CNKI, J-STAGE, KMBASE, OASIS). Fatigue indicators were used as the primary outcome measures. The quality-of-life index, efficiency rate, and level of pain were used as secondary outcome measures. There were 408 patients from seven RCTs included in this study. Meta-analysis showed that EA was significantly associated with fatigue relief compared with the control group (n = 141 SMD = -1.55, 95% CI; -2.58 - -0.52, p = 0.003, I² = 92%). In addition, EA had a statistically significant improvement in quality of life compared with the control group (n = 176, SMD = -2.29, 95% CI; -3.68 - -0.90, p = 0.001, I² = 96%). One study reported ten cases of bleeding, however, no serious adverse events were reported in any of the included studies. This review determined that EA may have a greater clinical effect than the control group for fatigue relief and improved quality of life. However, there were several risks of bias identified. Not all of the RCTs accurately reported the research method, all studies were conducted in 1 country (China), and the number of studies included were small.

• 척추신경추나의학회지
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• 제17권1호
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• pp.1-10
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• 2022

Objectives To evaluate the effectiveness of Chuna manual therapy (CMT) for postpartum hypogalactia. Methods Using nine electronic databases, we selected 13 randomized controlled trials (RCTs) that applied CMT for postpartum hypogalactia and conducted a meta-analysis. The risk of bias was assessed using the Cochrane risk of bias tool. Results Meta-analysis showed statistically significant results for CMT in terms of effective rate and breast filling degree compared to the other treatment groups (p<0.05). Conclusions Our study showed clinical evidence of CMT efficacy for postpartum hypogalactia. Further studies are required to support our findings.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권8호
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• pp.2648-2665
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• 2022

Device-to-device (D2D) multicast has become a promising technology to provide specific services within a small geographical region with a high data rate, low delay and low energy consumption. However, D2D multicast communications are allowed to reuse the same channels with cellular uplinks and result in mutual interference in a cell. In this paper, an intelligent channel assignment algorithm is designed in D2D underlaid cellular networks with the target of maximizing network throughput. We first model the channel assignment problem to be a throughput maximizing problem which is NP-hard. To solve the problem in a feasible way, a novel channel assignment algorithm is proposed. The key idea is to find the appropriate cellular communications and D2D multicast groups to share a channel without causing critical interference, i.e., finding a channel for a D2D multicast group which generates the least interference to network based on current channel assignment status. In order to show the efficacy and effectiveness of our proposed algorithm, a novel search algorithm is proposed to find the near-optimal solution as the baseline for comparisons. Simulation results show that the proposed algorithm improves the network throughput.

• 대한의용생체공학회:의공학회지
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• 제43권4호
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• pp.230-240
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• 2022

Drug regeneration technology is an efficient strategy than the existing new drug development process, which requires large costs and time by using drugs that have already been proven safe. In this study, we recognize the importance of the new drug regeneration aspect of new drug development and research in predicting functional similarities through the basic molecular structure that forms drugs. We test four string-based algorithms by using SMILES data and searching for their similarities. And by using the ATC codes, pair them with functional similarities, which we compare and validate to select the optimal model. We confirmed that the higher the molecular structure similarity, the higher the ATC code matching rate. We suggest the possibility of additional potency of random drugs, which can be predicted through data that give information on drugs with high molecular similarities. This model has the advantage of being a great combination with additional data, so we look forward to using this model in future research.

• 대한한방부인과학회지
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• 제36권3호
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• pp.129-153
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• 2023

Objectives: The purpose of this study is to report the clinical effectiveness and safety of herbal medicine treatment for postmenopausal osteoporosis. Methods: Researchers searched papers through 5 online databases including The Cochrane Library Central, Pubmed, China Academic Journal (CAJ), Oriental medicine Advanced Searching Integrated System (OASIS) and Korean studies Information Service System (KISS). Randomized controlled trials (RCTs) that used herbal medicine as treatment were included. Results: Twenty three studies were selected by the selection and exclusion criteria. The treatment group was treated with herbal medicine alone or with herbal medicine and conventional medicine. The control group was treated with conventional medicine. Most common evaluation index was Bone Mineral Density (BMD) followed by total efficacy rate and level of bone metabolism markers, level of sex hormones, etc. Compared with the control group, the treatment group was more effective and safer in all of 23 studies. Conclusions: Herbal treatment alone could be an effective and safe option in treating postmenopausal osteoporosis. Moreover herbal treatment with conventional medicine could improve its therapeutic effect on postmenopausal osteoporosis as well.

• 한국인공지능학회지
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• 제11권3호
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• pp.29-34
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• 2023

Recently, the rapid development of artificial intelligence technology, many studies are being conducted to predict the risk of heart disease in order to lower the mortality rate of cardiovascular diseases worldwide. This study presents exercise or dietary improvement contents in the form of a software app or web to patients with cardiovascular disease, and cardiovascular disease through digital devices such as mobile phones and PCs. LR, LDA, SVM, XGBoost for the purpose of developing "Life style Improvement Contents (Digital Therapy)" for cardiovascular disease care to help with management or treatment We compared and analyzed cardiovascular disease prediction models using machine learning algorithms. Research Results XGBoost. The algorithm model showed the best predictive model performance with overall accuracy of 80% before and after. Overall, accuracy was 80.0%, F1 Score was 0.77~0.79, and ROC-AUC was 80%~84%, resulting in predictive model performance. Therefore, it was found that the algorithm used in this study can be used as a reference model necessary to verify the validity and accuracy of cardiovascular disease prediction. A cardiovascular disease prediction analysis algorithm that can enter accurate biometric data collected in future clinical trials, add lifestyle management (exercise, eating habits, etc.) elements, and verify the effect and efficacy on cardiovascular-related bio-signals and disease risk. development, ultimately suggesting that it is possible to develop lifestyle improvement contents (Digital Therapy).

• International Journal of Computer Science & Network Security
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• 제23권1호
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• pp.53-63
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• 2023

Many researchers are trying hard to minimize the incidence of cancers, mainly Gastric Cancer (GC). For GC, the five-year survival rate is generally 5-25%, but for Early Gastric Cancer (EGC), it is almost 90%. Predicting the onset of stomach cancer based on risk factors will allow for an early diagnosis and more effective treatment. Although there are several models for predicting stomach cancer, most of these models are based on unbalanced datasets, which favours the majority class. However, it is imperative to correctly identify cancer patients who are in the minority class. This research aims to apply three class-balancing approaches to the NHS dataset before developing supervised learning strategies: Oversampling (Synthetic Minority Oversampling Technique or SMOTE), Undersampling (SpreadSubsample), and Hybrid System (SMOTE + SpreadSubsample). This study uses Naive Bayes, Bayesian Network, Random Forest, and Decision Tree (C4.5) methods. We measured these classifiers' efficacy using their Receiver Operating Characteristics (ROC) curves, sensitivity, and specificity. The validation data was used to test several ways of balancing the classifiers. The final prediction model was built on the one that did the best overall.

• 대한본초학회지
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• 제24권4호
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• pp.69-75
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• 2009

Objectives : To access the safety and efficacy of Black Ginseng (BG), a traditional herbal medicine on hypertension, we examined various parameters involved in the pathogenesis of hypertension. Methods : We made deoxycorticosterone acetate (DOCA;25 mg/kg/3times/weeks for 3 weeks)-induced hypertension Sprague-Dawley (SD) rats. And experiment group was treated with extract of black ginseng (BG;200 mg/kg/day). Results : In results, the weight of experiment group treated with BG was increased compared with normal and control group. And the heart and lung weights of experiment group were decreased compared with control group. The blood pressure and pulse rate of group treated with BG were significantly decreased compared with control group. In addition, BG greatly reduced the levels of aldosterone. These results suggested that BG has suppressive effects on hypertension, and BG has potential as a safe and effective therapeutics for hypertension. Conclusions : The present data show evidences on anti-hypertension activity of BG in an experimental animal system, which can provide further insights into the development of anti-hypertension therapeutic agents.