• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.4
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• pp.844-852
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• 2006

This study was to evaluate the effect of Yeongyupaedog-san (YGPDS) on mouse Thl and Th2 cells' differentiation and ovalbumin (OVA)-induced allergic inflammation. The proliferation of mouse CD4 T cells and the secretion of Th1/Th2 cytokines under the influence of YGPDS extract were measured as well as the amount of ${\beta}-hexosaminidase$ in RBL-2H3 cells and the levels of $TNF-{\alpha}$ and 1L-6 secretion in Raw264.7 cells. BALB/c mice were orally administered with YGPDS extract and simultaneously inoculated with OVA to induce allergic reaction and measure the level of total IgE, OVA-specific IgE and the production of IFN- g, IL-4, IL-5 by the spleen cells. When mouse CD4 T cell were stimulated with anti-CD3 and anti-CD28 for 48 hours in various concentrations of YGPDS extract, it increased proliferation of CD4 cells by 11% in $100\;{\mu}g/^{ml}$ concentration but it showed an inhibition by 37% at $200\;{\mu}g/^{ml}$ CD4 T cells under Th1/Th2 polarizing conditions for 3 days with YGPDS resulted in mild decrease of IFN- g in Thl cells and significant decrease of IL-4 in Th2 cells at $500\;{\mu}g/^{ml}\;and\;100\;{\mu}g/^{ml}$ by 18% and 21%, respectively. YGPDS extract had a dose-dependent inhibitory effect on antigen-induced release of ${\beta}-hexosaminidase$ in RBL-2H3 cells. Treatment of YGPDS extract on LPS stimulated Raw 264.7 cells showed dose-dependent decrease in TNF-n production. Oral administration of YGPDS extract on OVA-induced allergic mice showed an inhibitory effect on the levels of total serum IgE and OVA-specific IgE by 25% and 34% , respectively. Culture of spleen cells with OVA resulted in significant increase of IFN- g by 44% and significant decrease of IL-4 and IL-5 by 56%, and 24%, respectively. The results show that YGPDS does not strongly induce mouse T cells to transform into Thl or Th2 but it has an anti-allergic effect in vitro, and that it also corrects the unbalance between the reactions of Th cells in allergic diseases.

• Horticultural Science & Technology
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• v.34 no.3
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• pp.461-471
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• 2016

This study was conducted to establish an in vitro propagation system for sea-milkwort (Glaux maritima L.), which is an endangered coastal plant species with high horticultural value. Two phenotypes, 'Red type (RT)' and 'Pistachio type (PT)' based on the colors of stem and flower, were obtained from a personal horticulturist in 2009 and used for this study as plant materials. The stock plants showed typical morphologies in flower, capsule, and seed appearances as previously reported. Low temperature treatment at $4^{\circ}C$ for four or more weeks after in vitro sowing maximized seed germination percentage, indicating that imbibition of seed and subsequent low temperature treatment are crucial for its germination. The in vitro seedlings had phenotypic variation, falling into 'RT' and 'PT' classes like the stock plants. Although slight differences depending on genotype and medium were recognized, the fourth or fifth nodes detached from the in vitro seedlings revealed the best multiplication efficacy when estimated on the basis of total number of nodes of newly developed axillary shoots. In addition, the nodes from 'RT' and 'PT' regenerated the most shoots on medium supplemented with $0.5mg{\cdot}L^{-1}$ BA alone and $0.5mg{\cdot}L^{-1}$ BA plus $0.5mg{\cdot}L^{-1}$ IAA, respectively. The node culture-derived plantlets were well acclimatized in a culture room ex vitro and completed the pseudo-annual life cycle coincident with that in the natural salt march habitat with the current cultivation method of applying fresh water-irrigation under an inland environment. This work represents the first report of in vitro propagation of sea-milkwort. Thus, our study will contribute to exo-habitat conservation and natural habitat restoration of this endangered species in addition to development of a horticultural product.

• Korean Journal of Environmental Agriculture
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• v.37 no.4
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• pp.268-276
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• 2018

BACKGROUND: In the month of January 2018, fine dust alerts and warnings were issued 36 times for $PM_{10}$ and 81 times for PM2.5. Air quality is becoming a serious issue nation-wide. Although interest in air-purifying plants is growing due to the controversy over the risk of chemical substances of regular air-purifying solutions, industrial spread of the plants has been limited due to their efficiency in air-conditioning perspective. METHODS AND RESULTS: This study aims to propose a vegetation-based bio-filter system that can assure total indoor air volume for the efficient application of air-purifying plants. In order to evaluate the quantitative performance of the system, time-series analysis was conducted on air-conditioning performance, indoor air quality, and comfort index improvement effects in a lecture room-style laboratory with 16 persons present in the room. The system provided 4.24 ACH ventilation rate and reduced indoor temperature by $1.6^{\circ}C$ and black bulb temperature by $1.0^{\circ}C$. Relative humidity increased by 24.4% and deteriorated comfort index. However, this seemed to be offset by turbulent flow created from the operation of air blowers. While $PM_{10}$ was reduced by 39.5% to $22.11{\mu}g/m^3$, $CO_2$ increased up to 1,329ppm. It is interpreted that released $CO_2$ could not be processed because light compensation point was not reached. As for the indoor comfort index, PMV was reduced by 83.6 % and PPD was reduced by 47.0% on average, indicating that indoor space in a comfort range could be created by operating vegetation-based bio-filters. CONCLUSION: The study confirmed that the vegetation-based bio-filter system is effective in lowering indoor temperature and $PM_{10}$ and has positive effects on creating comfortable indoor space in terms of PMV and PPD.

• Journal of Life Science
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• v.29 no.6
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• pp.747-753
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• 2019

Cognitive decline is characterized by reduced long-/short-term memory and attention span, and increased depression and anxiety. Such decline is associated with various degenerative brain disorders, especially Alzheimer's disease (AD) and Parkinson's disease (PD). The increases in elderly populations suffering from cognitive decline create social problems and impose economic burdens, and also pose safety threats; all of these problems have been extensively researched over the past several decades. Possible causes of cognitive decline include metabolic and hormone imbalance, infection, medication abuse, and neuronal changes associated with aging. However, no treatment for cognitive decline is available. In neurodegenerative diseases, changes in the gut microbiota and gut metabolites can alter molecular expression and neurobehavioral symptoms. Changes in the gut microbiota affect memory loss in AD via the downregulation of NMDA receptor expression and increased glutamate levels. Furthermore, the use of probiotics resulted in neurological improvement in an AD model. PD and gut microbiota dysbiosis are linked directly. This interrelationship affected the development of constipation, a secondary symptom in PD. In a PD model, the administration of probiotics prevented neuron death by increasing butyrate levels. Dysfunction of the blood-brain barrier (BBB) has been identified in AD and PD. Increased BBB permeability is also associated with gut microbiota dysbiosis, which led to the destruction of microtubules via systemic inflammation. Notably, metabolites of the gut microbiota may trigger either the development or attenuation of neurodegenerative disease. Here, we discuss the correlation between cognitive decline and the gut microbiota.

• The Journal of Bigdata
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• v.6 no.1
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• pp.83-89
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• 2021

Lifestyle is changing rapidly, and food consumption patterns vary widely among households as dietary and food processing technologies evolve. This paper reclassified the food group of consumer panel data established by the Rural Development Administration, which contains information on purchasing agricultural products by household unit, and compared the consumption characteristics of agricultural products by age group. The criteria for age classification were divided into groups in their 60s and older with a prevalence of 20% or more metabolic diseases and groups in their 30s and 40s with less than 10%. Using the LightGBM algorithm, we classified the differences in food consumption patterns in their 30s and 50s and 60s and found that the precision was 0.85, the reproducibility was 0.71, and F1_score was 0.77. The results of variable importance were confectionery, folio, seasoned vegetables, fruit vegetables, and marine products, followed by the top five values of the SHAP indicator: confectionery, marine products, seasoned vegetables, fruit vegetables, and folio vegetables. As a result of binary classification of consumption patterns as a median instead of the average sensitive to outliers, confectionery showed that those in their 30s and 40s were more than twice as high as those in their 60s. Other variables also showed significant differences between those in their 30s and 40s and those in their 60s and older. According to the study, people in their 30s and 40s consumed more than twice as much confectionery as those in their 60s, while those in their 60s consumed more than twice as much marine products, seasoned vegetables, fruit vegetables, and folioce or logistics as much as those in their 30s and 40s. In addition to the top five items, consumption of 30s and 40s in wheat-processed snacks, breads and noodles was high, which differed from food consumption patterns in their 60s.

• Journal of Korea Port Economic Association
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• v.38 no.1
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• pp.129-142
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• 2022

In the past, interest in air pollution was concentrated on greenhouse gases, but in recent years, interest in fine dust has been increasing. The media and environmental organizations continue to emphasize air pollution caused by fine dust. The awareness of fine dust is increasing, and air pollution generated at ports is analyzed to be serious as a domestic factor excluding foreign inflows. Recognizing this, in order to reduce air pollution generated at ports, special laws on improving air quality, such as port areas, have been enacted in Korea, and attempts are being made to curb air pollution caused by ports. In this law, it is a policy that regulates air pollutants generated not only by ships but also throughout ports such as vehicles and unloading machines, and representative are ECA, VSR, and AMP. This study attempted to analyze the effects of these eco-friendly policies at Incheon Port. First of all, a study was conducted to calculate emissions assuming that there was no policy, analyze each policy, and finally calculate and compare actual emissions reflecting all policies. The methodology presented by the European Environmental Administration and the U.S. Environmental Protection Agency was used, and pollutants to be analyzed were analyzed for sulfur oxides (SO_X), carbon monoxide (CO), nitrogen oxides (NO_X), total floating substances (TSP), fine dust and ultrafine dust (PM₁₀, PM_2.5) and ammonia (NH₃). As a result of the analysis, it was analyzed that the actual emission reflecting all policies was about 4,097 tons/year, which had an emission reduction effect of about 760 tons/year compared to about 4,857 tons/year when the policy was not reflected. When the effects of each policy were analyzed individually, it was found that ECA 4,111 tons/year, VSR 4,854 tons/year, and AMP 4,843 tons of air pollutant emissions occurred The results of this study can be used as basic data and evidence for policy establishment related to the atmospheric environment at Incheon Port.

• Research in Plant Disease
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• v.28 no.3
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• pp.113-121
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• 2022

Rice blast is a major plant disease that occurs worldwide and significantly reduces rice yields. Rice blast disease occurs periodically in Korea, causing significant socio-economic damage due to the unique status of rice as a major staple crop. A disease outbreak prediction system is required for preventing rice blast disease. Epidemiological investigations of disease outbreaks can aid in decision-making for plant disease management. Currently, plant disease prediction and epidemiological investigations are mainly based on quantitatively measurable, structured data such as crop growth and damage, weather, and other environmental factors. On the other hand, text data related to the occurrence of plant diseases are accumulated along with the structured data. However, epidemiological investigations using these unstructured data have not been conducted. The useful information extracted using unstructured data can be used for more effective plant disease management. This study analyzed news articles related to the rice blast disease through text mining to investigate the years and provinces where rice blast disease occurred most in Korea. Moreover, the average temperature, total precipitation, sunshine hours, and supplied rice varieties in the regions were also analyzed. Through these data, it was estimated that the primary causes of the nationwide outbreak in 2020 and the major outbreak in Jeonbuk region in 2021 were meteorological factors. These results obtained through text mining can be combined with deep learning technology to be used as a tool to investigate the epidemiology of rice blast disease in the future.

• The Journal of Internal Korean Medicine
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• v.43 no.6
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• pp.1105-1121
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• 2022

Objectives: The purpose of this study is to explore the effectiveness and safety of frequently used clinical herbal medicines (Yijung-tang [Lizhong-tang, LJT], Pyeongwi-san [Pingwei-san, PWS], and Shihosogan-tang [Chaihu Shugan-tang, SST]) in patients with functional dyspepsia (FD) when administered according to herbal medicine and Korean medicine pattern identification. The results of this study will be used to standardize the diagnostic instrument used in Korean medicine and to investigate biomarkers of Korean medicine pattern identification. Methods: This study will be a randomized, assessor-blind, 3-arm, parallel, open-label, multi-center clinical trial. A total of 300 FD participants will be recruited from 3 Korean medical hospitals and assigned to the LJT (n=100), PWS (n=100), and SST (n=100) groups according to FD pattern identification. The patients will take the medication for 8 weeks, 3 times a day, before or between meals. The primary outcome will be total dyspepsia symptom (TDS) and the secondary outcomes will be adequate relief (AR) for dyspepsia, overall treatment effect (OTE), visual analogue scale (VAS), functional dyspepsia-related quality of life (FD-QoL), gastrointestinal symptom score (GIS), and pattern identification questionnaires. For the exploratory outcomes, we will analyze blood and fecal metabolome profiles, microbiota from fecal and saliva samples, single nucleotide polymorphism (SNP), and results of Korean medicine diagnosis device measurements (heart rate variability, and tongue, pulse, and abdominal diagnosis). Conclusions: The results of this study will prove objectivity for Korean medicine pattern identifications, and the effectiveness and safety of herbal medicines for the population with FD.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.57-84
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• 2023

With the development of information and communications technology (ICT) and big data technology, anyone can easily obtain and utilize vast amounts of data through the Internet. Therefore, the capability of selecting high-quality data from a large amount of information is becoming more important than the capability of just collecting them. This trend continues in academia; literature reviews, such as systematic and non-systematic reviews, have been conducted in various research fields to construct a healthy knowledge structure by selecting high-quality research from accumulated research materials. Meanwhile, after the COVID-19 pandemic, remote healthcare services, which have not been agreed upon, are allowed to a limited extent, and new healthcare services such as health recommender systems (HRS) equipped with artificial intelligence (AI) and big data technologies are in the spotlight. Although, in practice, HRS are considered one of the most important technologies to lead the future healthcare industry, literature review on HRS is relatively rare compared to other fields. In addition, although HRS are fields of convergence with a strong interdisciplinary nature, prior literature review studies have mainly applied either systematic or non-systematic review methods; hence, there are limitations in analyzing interactions or dynamic relationships with other research fields. Therefore, in this study, the overall network structure of HRS and surrounding research fields were identified using citation network analysis (CNA). Additionally, in this process, in order to address the problem that the latest papers are underestimated in their citation relationships, the GraphSAGE algorithm was applied. As a result, this study identified 'recommender system', 'wireless & IoT', 'computer vision', and 'text mining' as increasingly important research fields related to HRS research, and confirmed that 'personalization' and 'privacy' are emerging issues in HRS research. The study findings would provide both academic and practical insights into identifying the structure of the HRS research community, examining related research trends, and designing future HRS research directions.

• Korean Journal of Culture and Social Issue
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• v.18 no.1
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• pp.127-152
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• 2012

The research investigates the attitudes toward children among mothers young children and maternal grandmothers, focusing specifically on the ideal number of children, gender preference, old age security and positive and negative values of children. A total of 442 respondents, consisting of 221 young mothers (average age of 35) and 221 maternal grandmothers (average age of 63) completed a questionnaire developed by Kim, Park and Kwon (2005). The reliability of the scales ranged from Cronbach α of .78 to .91. The results are as follows. First, as for the ideal number of children, young mothers reported that they would prefer two children, while grandmothers reported that they would prefer four children. As for the ideal number of male child, young mothers reported that they would prefer that they would prefer one son, while grandmothers reported two sons. Second, as for the gender of the child, young mothers did not show a gender preference, while grandmothers stated that at least one child should be a son, especially if it is the only child. Third, grandmothers had higher expectation of old age security in their male child than young mothers but two groups did not show any difference for the female child. Fourth, as for positive values of children, young mothers were more likely to emphasize personal aspects (i.e., psychological pleasure and happiness) and family cohesiveness, while grandmothers were more likely to emphasize social aspects (i.e., continuing the family line and old age security. As for negative values of children, young mothers were more likely to emphasize personal aspects (i.e., parental role and responsibility), while grandmothers were more likely to emphasize social aspects (i.e., family conflict and relationship). Fifth, as for factors that influenced the number of children that they decided to have, young mothers were more likely to report negative values of children (i.e., financial constraints), while grandmothers were more likely to emphasize positive values of children (i.e., continuing the family line).