• Communications of the Korean Mathematical Society
• /
• v.34 no.2
• /
• pp.685-699
• /
• 2019

This research is focused on a continuous epidemic model of transmission of Plasmodium vivax malaria with a time delay. The model is represented as a system of ordinary differential equations with delay. There are two equilibria, which are the disease-free state and the endemic equilibrium, depending on the basic reproduction number, $R_0$, which is calculated and decreases with the time delay. Moreover, the disease-free equilibrium is locally asymptotically stable if $R_0<1$. If $R_0>1$, a unique endemic steady state exists and is locally stable. Furthermore, Hopf bifurcation is applied to determine the conditions for periodic solutions.

• Journal of Korean Medical classics
• /
• v.34 no.2
• /
• pp.75-84
• /
• 2021

Objectives : To examine texts dealing with the Wenyilun in South Korea and to re-evaluate its medical theories that have been underrated in previous texts. Methods : The contents and organization of the Gejiaxueshuo were analyzed. In addition, a research paper on the overall contents of the Wenyilun was studied. Results : Common theories of the miscellaneous qi that were mentioned in the two documents such as 'specificity', 'nine-part transition treatment theory', and 'one disease one formula' are either irrelevant or resulting from erroneous interpretation. While both texts evaluated the merits and harms of the Wenyilun, erroneously deducted contents were used as evidence for negative assessments in both. Conclusions : Should the contents of the Wenyilun be evaluated with a focus on the critical points that clinicians with vast experiences with epidemic disease patients raised, we would be judging the text differently.

• Archives of Obesity and Metabolism
• /
• v.1 no.2
• /
• pp.53-58
• /
• 2022

While the rising epidemic of obesity is primarily attributed to a sedentary lifestyle, poor dietary habits, and the aging of the population, secondary causes of obesity generally go undetected and untreated. These include endocrinological disorders, such as Cushing's syndrome, polycystic ovary syndrome, hypothalamic obesity, hypogonadism, and hypothyroidism, as well as genetic, syndromic, and drug-related obesity. We present an overview of the major disorders associated with obesity, highlighting the pathophysiologic mechanisms and discussing the diagnostic and treatment strategies that are most helpful to practicing physicians in recognizing and treating these generally under-detected and undertreated disorders.

• Journal of fish pathology
• /
• v.34 no.1
• /
• pp.117-121
• /
• 2021

An ayu (Plecoglossus altivelis) farm in Korea recently experienced an epidemic of vertebral column deformities where about 90% of fry displayed a vertebral column that was grossly opaque along either the cranial part of the column or its entire length. Abnormal fish were lordotic, scoliotic and/or kyphotic about midway down the spine. Examination of serial sections of whole fish showed only histological lesions in the vertebral column and suggested some disturbance in the early development of the vertebral centrum. Such abnormalities included a frayed spinal or notochord sheaths with irregular thickening and compression, mal-absorbed notochord cells, thickening of around cell layer and hypercellularity on both facets of the notochord sheath. No parasites, fungi, or bacteria were detected. While this lesion has only been reported once in the past, this is the first report of histopathological findings.

• Journal of Yeungnam Medical Science
• /
• v.38 no.2
• /
• pp.83-94
• /
• 2021

The global obesity epidemic and the growing elderly population largely contribute to the increasing incidence of type 2 diabetes. Insulin resistance acts as a critical link between the present obesity pandemic and type 2 diabetes. Naturally occurring reactive oxygen species (ROS) regulate intracellular signaling and are kept in balance by the antioxidant system. However, the imbalance between ROS production and antioxidant capacity causes ROS accumulation and induces oxidative stress. Oxidative stress interrupts insulin-mediated intracellular signaling pathways, as supported by studies involving genetic modification of antioxidant enzymes in experimental rodents. In addition, a close association between oxidative stress and insulin resistance has been reported in numerous human studies. However, the controversial results with the use of antioxidants in type 2 diabetes raise the question of whether oxidative stress plays a critical role in insulin resistance. In this review article, we discuss the relevance of oxidative stress to insulin resistance based on genetically modified animal models and human trials.

• International Journal of Advanced Culture Technology
• /
• v.9 no.2
• /
• pp.130-135
• /
• 2021

Because of the COVID-19 epidemic, many countries have made the obligation to wear masks normal. Wearing masks in public places has become a must. At present, wearing a mask to participate in sports makes it very common. People seek to gain health through exercise but ignore the potential respirato-ry health threat. That is, wearing a mask will cause a decrease in oxygen content in the body. This neg-ative impact becomes more prominent as the wear-ing time and oxygen consumption increase. To pro-tect people from viruses and enjoy a healthy life. This paper proposes a breathing pattern that im-proves blood oxygen saturation while wearing a jogging mask and walking. Namely, shouting breathing pattern. Use a pulse oximeter to measure the blood oxygen saturation of running at different speeds and compare the normal breathing pattern and the shouting breathing pattern. The results show that the shouting breathing pattern has a sig-nificant improvement in the blood oxygen satura-tion of low-speed walking and medium-speed jog-ging.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.2
• /
• pp.98-108
• /
• 2022

In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

• Journal of Navigation and Port Research
• /
• v.46 no.2
• /
• pp.145-157
• /
• 2022

Due to the global epidemic of infectious diseases, it has become important for all industries to respond to the risk of infectious diseases. Ports in each country are also responding to the risk of infectious diseases, but the occurrence of infectious diseases in ports of various countries is causing a lot of damage to the logistics of ports. Korea is in the same situation, and cases of infectious diseases in ports are steadily being announced. Therefore, this paper conducted semi-quantitative Bow-Tie risk assessment by substituting measures to cope with infectious disease risks in Korean ports into actual cases of port infectious diseases in Korea, deriving improvements and suggesting directions. As a result, it was concluded that it was necessary to standardize some of the countermeasures against infectious diseases and develop more countermeasures.

• The Journal of Asian Finance, Economics and Business
• /
• v.9 no.4
• /
• pp.83-92
• /
• 2022

Due to the uncertainty in the order of the integrated model, the SARIMA-LSTM model, SARIMA-SVR model, LSTM-SARIMA model, and SVR-SARIMA model are constructed respectively to determine the best-combined model for forecasting the China-Russia trade turnover. Meanwhile, the effect of the order of the combined models on the prediction results is analyzed. Using indicators such as MAPE and RMSE, we compare and evaluate the predictive effects of different models. The results show that the SARIMA-LSTM model combines the SARIMA model's short-term forecasting advantage with the LSTM model's long-term forecasting advantage, which has the highest forecast accuracy of all models and can accurately predict the trend of China-Russia trade turnover in the post-epidemic period. Furthermore, the SARIMA - LSTM model has a higher forecast accuracy than the LSTM-ARIMA model. Nevertheless, the SARIMA-SVR model's forecast accuracy is lower than the SVR-SARIMA model's. As a result, the combined models' order has no bearing on the predicting outcomes for the China-Russia trade turnover time series.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.163-171
• /
• 2022

Online services are widely spread, and their use increases day by day. As COVID-19 spread and people spent much time online, fraud scams have risen unexpectedly. Manipulation techniques have become more effective at swindling those lacking basic technological knowledge. Unfortunately, a user needs a quorum. The interest in preventing scammers from obtaining effective quality service has become the most significant obstacle, increasing the variety of daily Internet platforms. This paper is concerned with analyzing purchase data and extracting provided results. In addition, after examining relevant documents presenting research discussing them, the recommendation was made that future work avoids them; this would save a lot of effort, money, and time. This research highlights many problems a person may face in dealing with online institutions and possible solutions to the epidemic through theft operations on the Internet.