• Journal of Life Science
• /
• v.27 no.9
• /
• pp.1020-1030
• /
• 2017

Epidemiology studies have reported a reduced incidence of colon cancer among populations that consume a large quantity of ${\omega}3-polyunsaturated$ fatty acids (${\omega}3-PUFAs$) of marine origin. Herein, we demonstrated a mechanism of anticancer action of ${\omega}3-PUFAs$, showing that they suppressed invasion and tumorigenicity in colon cancer cells. Docosahexaenoic acids (DHA) inhibited the cell growth of HT29 cells. This action likely involved apoptosis, given that the DHA treatment increased the cleaved form of PARP and sub G1 cells. Moreover, the invasiveness of HT29 cells was inhibited following DHA treatment, whereas arachidonic acid (AA) had no effect. The levels of Matrix-metalloproteinase-9 (MMP-9) and MMP-2 mRNA decreased after DHA pretreatment. DHA treatment inhibited MMP-9 and MMP-2 promoter activities and reduced VEGF promoter activity. DHA pretreatment also inhibited the activities of prostaglandin-2 (PGE2)-induced MMPs and the VEGF promoter. Cyclooxygenase-2 (COX-2) overexpression increased the activity of MMPs and that of the Vascular endotherial growth factor (VEGF) promoter in HT29 cells, and DHA inhibited NF-kB and COX-2 promoter reporter activities. As shown by in vivo experiments, when mouse colon cancer cells (MCA38) were implanted into Fat-1 and wild-type mice, both the tumoral size and volume were dramatically inhibited in Fat-1 transgenic mice. Furthermore, TUNEL-positive cells increased in tumors from Fat-1 mice compared with wild mice. In immunohistochemistry, the intensity of CD31 in Fat-1 tumors was weaker. These findings suggest that ${\omega}3-PUFAs$ may inhibit tumorigenicity and angiogenesis as well as cancer cell invasion by suppression of COX-2, MMPs and VEGF via the reduction of NF-kB in colon cancer.

• Journal of agricultural medicine and community health
• /
• v.46 no.4
• /
• pp.280-294
• /
• 2021

Objectives: The purpose of this study is to investigate the effects of social capital characteristics, socio-demographic characteristics, physical condition, and health behavior characteristics on health-related quality of life of the elderly in Korea. Methods: T-test, one-way ANOVA, and regression analysis were performed by applying a complex sample design to 57.787 people aged 65 and over using the 2019 Community Health Survey. Results: First, as a result of complex-sample T-test and ANOVA analysis, it was found that there were differences in health-related quality of life according to social capital characteristics, physical condition & health behavior characteristics, and socio-demographic characteristics. Complex Sample Regression Analysis Results, the explanatory power of the model was 28%. When living in the metropolitan area, living in an apartment building, having a spouse, having a higher household income, economic activity, higher educational attainment, increase sleeping time, walking time, frequent binge drinking, health checkup, networking, trust, and social participation showed higher health-related quality of life. When people were older, their gender was female, higher BMI, number of chronic diseases, and severe stress that showed lower health-related quality of life. Conclusions: It was proved that the factors affecting the health-related quality of life of the elderly are not only physical condition and health behavior factors, but also social capital and socio-demographic characteristics. It was found that the role as a member was important.

• Journal of Life Science
• /
• v.28 no.11
• /
• pp.1255-1261
• /
• 2018

Whole genome analysis have been made possible with the development of DNA sequencing technologies and discovery of many single nucleotide polymorphisms (SNPs). Large number of SNP can be analyzed with SNP chips, since SNPs of human as well as livestock genomes are available. Among the various missing nucleotide imputation programs, Minimac3 software is suggested to be highly accurate, with a simplified workflow and relatively fast. In the present study, we used Minimac3 program to perform genomic missing value substitution 1,226 animals 770K SNP chip and imputing missing SNPs with next generation sequencing data from 311 animals. The accuracy on each chromosome was about 94~96%, and individual sample accuracy was about 92~98%. After imputation of the genotypes, SNPs with R Square ($R^2$) values for three conditions were 0.4, 0.6, and 0.8 and the percentage of SNPs were 91%, 84%, and 70% respectively. The differences in the Minor Allele Frequency gave $R^2$ values corresponding to seven intervals (0, 0.025), (0.025, 0.05), (0.05, 0.1), (0.1, 0.2), (0.2, 0.3). (0.3, 0.4) and (0.4, 0.5) of 64~88%. The total analysis time was about 12 hr. In future SNP chip studies, as the size and complexity of the genomic datasets increase, we expect that genomic imputation using Minimac3 can improve the reliability of chip data for Hanwoo discrimination.

• Journal of Intelligence and Information Systems
• /
• v.25 no.3
• /
• pp.19-41
• /
• 2019

According to the rapidly increasing demand for text data analysis, research and investment in text mining are being actively conducted not only in academia but also in various industries. Text mining is generally conducted in two steps. In the first step, the text of the collected document is tokenized and structured to convert the original document into a computer-readable form. In the second step, tasks such as document classification, clustering, and topic modeling are conducted according to the purpose of analysis. Until recently, text mining-related studies have been focused on the application of the second steps, such as document classification, clustering, and topic modeling. However, with the discovery that the text structuring process substantially influences the quality of the analysis results, various embedding methods have actively been studied to improve the quality of analysis results by preserving the meaning of words and documents in the process of representing text data as vectors. Unlike structured data, which can be directly applied to a variety of operations and traditional analysis techniques, Unstructured text should be preceded by a structuring task that transforms the original document into a form that the computer can understand before analysis. It is called "Embedding" that arbitrary objects are mapped to a specific dimension space while maintaining algebraic properties for structuring the text data. Recently, attempts have been made to embed not only words but also sentences, paragraphs, and entire documents in various aspects. Particularly, with the demand for analysis of document embedding increases rapidly, many algorithms have been developed to support it. Among them, doc2Vec which extends word2Vec and embeds each document into one vector is most widely used. However, the traditional document embedding method represented by doc2Vec generates a vector for each document using the whole corpus included in the document. This causes a limit that the document vector is affected by not only core words but also miscellaneous words. Additionally, the traditional document embedding schemes usually map each document into a single corresponding vector. Therefore, it is difficult to represent a complex document with multiple subjects into a single vector accurately using the traditional approach. In this paper, we propose a new multi-vector document embedding method to overcome these limitations of the traditional document embedding methods. This study targets documents that explicitly separate body content and keywords. In the case of a document without keywords, this method can be applied after extract keywords through various analysis methods. However, since this is not the core subject of the proposed method, we introduce the process of applying the proposed method to documents that predefine keywords in the text. The proposed method consists of (1) Parsing, (2) Word Embedding, (3) Keyword Vector Extraction, (4) Keyword Clustering, and (5) Multiple-Vector Generation. The specific process is as follows. all text in a document is tokenized and each token is represented as a vector having N-dimensional real value through word embedding. After that, to overcome the limitations of the traditional document embedding method that is affected by not only the core word but also the miscellaneous words, vectors corresponding to the keywords of each document are extracted and make up sets of keyword vector for each document. Next, clustering is conducted on a set of keywords for each document to identify multiple subjects included in the document. Finally, a Multi-vector is generated from vectors of keywords constituting each cluster. The experiments for 3.147 academic papers revealed that the single vector-based traditional approach cannot properly map complex documents because of interference among subjects in each vector. With the proposed multi-vector based method, we ascertained that complex documents can be vectorized more accurately by eliminating the interference among subjects.

• Journal of Life Science
• /
• v.29 no.1
• /
• pp.1-8
• /
• 2019

In Hanwoo cattle (Korean native cattle), there is a scarcity of comparative analysis papers using highdepth sequencing and haplotype phasing, particularly a comparative analysis of the Truseq Synthetic Long-Read Haplotyping sequencing platform serviced by Illumina (TSLRH) versus the Chromium Genome Sequencing platform serviced by 10X Genomics (10XG). DNA was extracted from the sperm of a Hanwoo breeding bull (ID: TN1505D2184/27214) provided by Hanwoo research canter and used for the generation of sequence data from both the sequencing platforms. We then identified SNVs using an appropriate analysis pipeline tailored for each platform. The TSLRH and 10XG platforms generated a total of 355,208,304 and 1,632,772,004 reads, respectively, corresponding to a Q30 (%) of 89.04% and 88.60%, respectively, of which 351,992,768(99.09%) and 1,526,641,824(93.50%) were successfully mapped. For the TSLRH and 10XG platforms, the mean depth of the sequencing was 13.04X and 74.3X, the longest phase block was 1,982,706 bp and 1,480,081 bp, the N50 phase block was 57,637 bp and 114,394 bp, the total number of SNVs identified was 4,534,989 and 8,496,813, and the total phased rate was 72.29% and 87.67%, respectively. Moreover, for each chromosome, we identified unique and common SNVs using both sequencing platforms. The number of SNVs was directly proportional to the length of the chromosome. Based on our results, we recommend the use of the 10XG platform for haplotype phasing and SNV identification, as it generated a longer N50 phase block, in addition to a higher mean depth, total number of reads, total number of SNVs, and phase rate, than the TSLRH platform.

• The Journal of Korean Institute of Next Generation Computing
• /
• v.14 no.6
• /
• pp.30-43
• /
• 2018

Many studies have been carried out to retrieve images using colors, shapes, and textures which are characteristic of images. In addition, there is also progress in research related to the disease images of the crop. In this paper, to be a help to identify the disease occurred in crops grown in the agricultural field, we propose a similarity-based crop disease search system using the diseases image of horticulture crops. The proposed system improves the similarity retrieval performance compared to existing ones through the combination descriptor without using a single descriptor and applied the weight based calculation method to provide users with highly readable similarity search results. In this paper, a total of 13 Descriptors were used in combination. We used to retrieval of disease of six crops using a combination Descriptor, and a combination Descriptor with the highest average accuracy for each crop was selected as a combination Descriptor for the crop. The retrieved result were expressed as a percentage using the calculation method based on the ratio of disease names, and calculation method based on the weight. The calculation method based on the ratio of disease name has a problem in that number of images used in the query image and similarity search was output in a first order. To solve this problem, we used a calculation method based on weight. We applied the test image of each disease name to each of the two calculation methods to measure the classification performance of the retrieval results. We compared averages of retrieval performance for two calculation method for each crop. In cases of red pepper and apple, the performance of the calculation method based on the ratio of disease names was about 11.89% on average higher than that of the calculation method based on weight, respectively. In cases of chrysanthemum, strawberry, pear, and grape, the performance of the calculation method based on the weight was about 20.34% on average higher than that of the calculation method based on the ratio of disease names, respectively. In addition, the system proposed in this paper, UI/UX was configured conveniently via the feedback of actual users. Each system screen has a title and a description of the screen at the top, and was configured to display a user to conveniently view the information on the disease. The information of the disease searched based on the calculation method proposed above displays images and disease names of similar diseases. The system's environment is implemented for use with a web browser based on a pc environment and a web browser based on a mobile device environment.

• Journal of agricultural medicine and community health
• /
• v.24 no.2
• /
• pp.245-268
• /
• 1999

It is necessary that the old should have the physical and social ability to perform their daily life. This study is to grasp their degree of disability and problems and suggest their solutions. It surveyed the 87 old people over 65 years old from September 1st until September 30th, in 1997. The findings are as follows. 1) The activities of daily living(ADL) to find their degree of physical disability shows that their average performance ability is 75.9% of all the action while 24.1% of all the old people needs the others' help. As they get older and older, the aged drop off in their physical ability, which is related to a statistical sense (p<0.001). 2) The social disability shows that the aged have their great difference from 9.2% to 85.1% in their instrumental activities of daily living(IADL), intellectual ability and social role. 3) A simple analysis shows that the activities of daily living are, in a statistical sense, related to age(p<0.001), the use of elder's hall(p<0.001), the understanding degree of health(p<0.01) and so forth. 4) A simple analysis shows that the instrumental activities of daily living are, in a statistical sense, related to age(p<0.001), the degree of education(p<0.05), the life of leisure(p<0.001), the understanding degree of health and so forth. 5) A multivariate logistic regression analysis shows that the disability of daily living is related to age, the visit of elder's hall, the period of solitary living, instrumental activities of daily living is age and the visit of elder's hall, and social role is the visit of elder's hall and the decree of education, while intellectual activity has no related variables in a statistical sense.

• Journal of agricultural medicine and community health
• /
• v.25 no.2
• /
• pp.231-244
• /
• 2000

Classification and research trends were studied to analyze a total of 240 original articles that have been published in 34 volumes of The Korean Journal of Rural Medicine from 1976 to 1999. The results were as follows: 1. A total of 337 articles were published. Among them, 240(71.2%) articles were classified as original articles. This number has been increasing significantly over the years as the number of the articles was 13 in the 1970s, 73 in the 1980s, and 154 in the 1990s. 2. There were 10 authors in the original articles and 55(22.9%) of them were written by 3 of them. There were five research institutions involved in the articles, and 106(44.2%) of the articles were done by one research group. 3. In the original articles. 24(10.0%) were noted to be done using research funds, and only 6(2.5%) were written in English. 4. In the view of the research styles of the original articles, 115(47.9%) used analytical study, 92(38.3%) used technical study, 21(9.2%) used experimental study, and 6(2.5%) used case reports. In the 1970s, 13(100.0%) articles used technical study, and in the 1980s, 47(64.4%) used technical studies and 19(26.0%) used analytical studies. However, in the 1990s, 96(62.8%) articles used analytical studies and 32(20.9%) used technical studies. The statistical methods most commonly used in the articles were technical statistics, the ${\chi}^2$-test, and the t-test respectively. 5. On the classification into three different research fields, 105(43.8%) articles were classified as health management, 96(40.0%) as disease epidemiology, and 39(16.3%) as rural environment and rural occupational disorders. In the 1970s, 12 (92.3 %) of the articles were on disease epidemiology and 1(7.7%) on health management were published. In the 1980s, 33(45.2%) articles on disease epidemiology, 29(39.7%) on health control, and 11(15.1%) on rural environment and rural occupational disorders were recorded. In the 1990s, however, 75(48.7%) articles were on health control, 51(33.1%) on disease control, and 28(18.2%) on the rural environment and rural occupational disorders. 6. According to the research subjects in each research field, the 39 articles in rural environment and rural occupational disorders were composed of 8(20.5%) articles on pesticide intoxication, 7(17,9%) on farmer's diseases, 7(17.9%) on vinyl-house diseases, and 6(15.4%) on accidents. From a total of 96 articles in disease epidemiology 56(58.3%) articles were on parasites, 16(16.7%) on non-infectious diseases, 12(12.5) on infectious diseases. From 105 articles in health control 25(23.8%) articles were on medical care utilization patterns, 18(17.1%) on the health care delivery system, and 13(12.4%) on maternal and child health. In the analysis of the 10 most prevalent subjects dealt in the above articles, 6(46.2%) articles were on parasites and 4(30.8%) on non-infectious diseases were recorded in the 1970s. In the 1980s, 28(38.4%) were on parasites. 9(12.3%) on the health care system, 7(9.6%) on medical care utilization patterns, 5(6.8%) on maternal and child health, and 4(5.5%) were on pesticide intoxication. In the 1990s, 22(14.3%) articles were on parasites. 18(11.7%) on medical care utilization patterns, 16(10.4%) on senile health, 14(9.1%) on the health care system, 10(6.5%) on infectious diseases, arid 10(6.5%) were on non-infectious diseases. In conclusion, the research activity on rural health has been strengthened in this country because the original articles in The Korean Journal of Rural Medicine have significantly increased in the past 24 years. In the 1970s and 1980s, research on disease epidemiology was most prevalent, but in the 1990s papers on health care were most popular. In addition, the articles on parasites were most frequently published in the 1970s, 1980s, and 1990s, showing that parasitic problem was the main theme in those eras. However, in the 1990s, it was evident that the articles on parasites were decreasing and articles on the subject of medical care utilization patterns and senile health increased. Hereafter it was expected that research on health care would be more common in rural health in Korea.