T cells induce immune responses and thereby eliminate infected micro-organisms when peptides from the microbial proteins are bound to HLAs in the host cell surfaces, It is known that the more stable the binding of peptide to HLA is, the stronger the T cell response gets to remove more effectively the source of infection. Accordingly, if peptides (HLA binder) which can be bound stably to a certain HLA are found, those peptieds are utilized to the development of peptide vaccine to prevent infectious diseases or even to cancer. However, HLA is highly polymorphic so that HLA has a large number of alleles with some frequencies even in one population. Therefore, it is very inefficient to find the peptides stably bound to a number of HLAs by testing random possible peptides for all the various alleles frequent in the population. In order to solve this problem, computational methods have recently been developed to predict peptides which are stably bound to a certain HLA. These methods could markedly decrease the number of candidate peptides to be examined by biological experiments. Accordingly, this paper not only introduces a method of machine learning to predict peptides binding to an HLA, but also suggests a new prediction model so called 'knowledge-based genetic algorithm' that has never been tried for HLA binding peptide prediction. Although based on genetic algorithm (GA). it showed more enhanced performance than GA by incorporating expert knowledge in the process of the algorithm. Furthermore, it could extract rules predicting the binding peptide of the HLA alleles common in Koreans.
This study aims to investigate smoking patterns in high school student and to give student smoker effective information. The sample of 250 male highschool students out of two different schools in Tae-Jon was questioned from July 10th to 15th. 1995. In analyzing these date. the statistics shows the realities by means of number of students. The results are summarized into 17 items as follows. Regarding the level of smoking. 140 students out of 250 admit that they have ever smoked. 52.1% of smoking students say that the motivation of beginning smoking is mainly curiosity. The survey shows that 22.9% of smoking students feel very good when smoking. It also shows that 30.0% of smoking students began smoking in the first grade of high school. With regard to the volume of smoking per day. 41.4% of smoking students smoke variably. 42.1% drink when smoking. 15.0% spend more than W 70.000 a month. About the question who knows the fact of their smoking. 51.5% answer that their friends know the fact of their smoking. In regard to the resaltionship between smoking and school per-formance. 18.2% of non smoking students make poor grades as compared with 40% of smoking students. 9.3% of smoking students say that they are satisfied with the school life. but 35.7% of them are not satisfied. Regarding the attitude to smoking teachers. 35% of smoking students state that they are affected by them. 69.3% of smoking students say that they will stop smoking. while the remaining 30.7% say that they will keep smoking. The reason of 63.9% to stop smoking is that smoking is bad for the health. The reason of 46. 5% to keep smoking is the acquired habit of smoking. 97.2% know the fact that the major element of cigarettes is nicotine and it is very harmful to the health. 40.8% recognize the harmful effect of smoking by TV and radio programs. 97.2% know that smoking could cause lung cancer. From the above results. I propose as follows We should make specific plan to keep smoking by simple curiosity from being developed into habitual smoking. We should teach them how harmful smoking is and make them stop smoking by themselves. It is very essential for family members and teachers to give continuous interest since childhood. As the teacher affect the students very much, they should give up smoking first. The incidence of smoking should be identified in each of the middle and high schools. smoking prohibition programs relevant to each school should be developed and implemented. The local community should ban cigarette vending machines. Cigarettes should not be sold to adolescents. By setting every place where adolescents gather including schools nonsmoking area. we should decrease their impulse to smoke. then smoking opportunities. and harmful effects to them caused by passive smoking.
Clinical estimation of bladder and rectal doses from high dose rate intracavitary irradiation in carcinoma of the cervix uteri has been initiated on a routine basis in an effort to obtain the optimum radiotherapeutic dose. Simulation films with contrast media are used to image the bladder and rectum, and dose rates are estimated at various interesting points with the aid of treatment planning computer, NEC Therac-2300. Fifty-three patients have been reviewed in order to ascertain the correlation between radiation dose at interesting points in the bladder and rectum and the dose at Point A and B. The dose ratio between doses at Point A 'and interesting points is an important clinical factor in evaluating the treatment planning. This also serves as documentation of the dose to normal structures within the treatment volume. Authors conclude that obtained data are within acceptable ranges and routine simulation films of the bladder and rectum after administration of contrast media with dose calculations at interesting points provide important information for optimizing radiotherapy planning in the treatment of cervical carcinoma without increased time and effort or patient's discomfort.
This study was carried out to investigate abiotic and biotic environmental factors affecting homoharringtonine (HHT) contents of Cephalotaxus koreana, whereby, to provide basic information of high value-added industry production of HHT as a promising anti-cancer agent. For correlation between abiotic environmental factors (soil moisture, soil pH, habitat density and temperature) and HHT contents, the contents were highly correlated with soil moisture (0.77) and soil pH (-0.68). For multiple regression analysis of relationship between abiotic environmental factors (soil moisture and soil pH) and HHT contents, soil moisture appeared to be strongly affecting the contents relatively due to being significant at only its regression coefficient ($26.48^{***}$). For the effect of biotic environmental factors (damage index) affecting HHT contents, the contents was quadratic with equation of $H=278.23+1242D-398.87D^2$, also, damage index had strong effect on the contents. Finally, for the result of the most influencing an environmental factor on HHT contents, both damage index and soil moisture were suitable in second polynomial regression, also, damage index ($R^2=0.73^{***}$) was turned out to be more influencing factor than soil moisture ($R^2=0.67^{**}$) on HHT contents relatively. Therefore, we predict that HHT contents in the trees of Cephalotaxus koreana is produced as a chemical defense mechanism triggered by a stress-related damage of fungi or insects.
Two virulence factors of Helicobacter pylori, cagA and vacA, have been known to play a role in the development of severe gastric symptoms. However, they are not always associated with peptic ulcer or gastric cancer. To predict the disease outcome more accurately, it is necessary to understand the risk of severe symptoms linked to other virulence factors. Several other virulence factors of H. pylori have also been reported to be associated with disease outcomes, although there are many controversial descriptions. H. pylori isolates from Koreans may be useful in evaluating the relevance of other virulence factors to clinical symptoms of gastric diseases because the majority of Koreans are infected by toxigenic strains of H. pylori bearing cagA and vacA. In this study, a total of 116 H. pylori strains from Korean patients with chronic gastritis, peptic ulcers, and gastric cancers were genotyped. The presence of virulence factors vacAs1c, alpA, babA2, hopZ, and the extremely strong vacuolating toxin was found to contribute significantly to the development of severe gastric symptoms. The genotype combination vacAs1c/alpA/babA2 was the most predictable determinant for the development of severe symptoms, and the presence of babA2 was found to be the most critical factor. This study provides important information on the virulence factors that contribute to the development of severe gastric symptoms and will assist in predicting clinical disease outcomes due to H. pylori infection.
The purpose of this study is to develop a hospice intervention program and present basic study data using a method of Meta analysis. Fifteen theses from 2002 to 2017 were collected from the on-line database at Korean Education and Research Information Service and other journals related hospice. Main keywords were 'hospice' and intervention'. The selected 15 theses were analyzed with publication bias, outcome of effect size, non-overlap percentage(U3), 95% confidence intervals and homogeneity. The result of the study is summarized as follows; Publication bias was stable and the effect size of hospice program was significant at. 99. The effective and significant regulation effects were publication years with 2003 to 2007(ES=1.24), publication types with journals(ES=1.33), majors with nursing sciences(ES=1.02), ages with 29 to 30(ES=1.09), later session(ES=1.06) and aroma(ES=1.12). Accordingly, this thesis has its meaning in that it used a Meta-analysis to analyze domestic theses of hospice intervention programs for the first time in Korea. This thesis will prodide specific guidance to researchers trying to develop and utilize hospice intervention programs resulting in helpful usages in professional hospice institutions with implementations of programs.
Purpose: In this study, the hospice nursing research trend in 1998~2017 was investigated by analyzing research articles on hospice nursing. Methods: Literature search was performed with keywords of 'nursing' and 'hospice on an academic research information service. Also reviewed were all articles published in the Korean Journal of Nursing Science and its 8 subcategory journals, the Korean Journal of Hospice and Palliative Care and the Korean Hospice Association from 1998 through 2017, except thesis papers. Results: In 2013~2017, 79 articles (31.0%) were relevant, up over 7% from 61 articles (23.9%) in 2008~2012. The most studied field was psychology (92 papers, 36.2%) in the Korean Journal of Hospice and Palliative Care. Enrolled in most papers were patients with end-stage cancer (75, 29.5%), which is overwhelmingly high. Most studies used quantitative methods (183, 72.0%). Recognition was the most studied theme (62, 24.4%), and 16 of them focused on recognition of death (6.3%). Intervention studies totaled 34 (13.4%), and most of them (7, 2.8%) were conducted for palliative education. Conclusion: Most hospice nursing studies were quantitative studies, conducted with patients, and hospice nursing intervention programs were similar to each other. Thus, more studies with hospice patients and their families are needed. And more experimental and qualitative studies are needed to build an evidence-based nursing study environment. Considering how most studies examined psychological factors, physiological factors such as pain, a major issue in hospice care, should be analyzed in experimental studies to construct a pain intervention program for hospice patients.
Journal of the Korea Academia-Industrial cooperation Society
/
v.20
no.4
/
pp.435-447
/
2019
In order to prevent unnecessary re-admission, it is necessary to intensively manage the groups with high probability of re-admission. For this, it is necessary to develop a re-admission prediction model. Two - year discharge summary data of one university hospital were collected from 2016 to 2017 to develop a predictive model of re-admission. In this case, the re-admitted patients were defined as those who were discharged more than once during the study period. We conducted descriptive statistics and crosstab analysis to identify the characteristics of rehospitalized patients. The re-admission prediction model was developed using logistic regression, neural network, and decision tree. AUC (Area Under Curve) was used for model evaluation. The logistic regression model was selected as the final re-admission predictive model because the AUC was the best at 0.81. The main variables affecting the selected rehospitalization in the logistic regression model were Residental regions, Age, CCS, Charlson Index Score, Discharge Dept., Via ER, LOS, Operation, Sex, Total payment, and Insurance. The model developed in this study was limited to generalization because it was two years data of one hospital. It is necessary to develop a model that can collect and generalize long-term data from various hospitals in the future. Furthermore, it is necessary to develop a model that can predict the re-admission that was not planned.
Lee, So-Jeong;Kim, Heon-Woong;Lee, Suji;Na, Hyemin;Kwon, Ryeong Ha;Kim, Ju Hyung;Yoon, Hyemyeong;Choi, Yu-Mi;Wee, Chi-Do;Yoo, Seon Mi;Lee, Sang Hoon
The Korean Journal of Food And Nutrition
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v.33
no.6
/
pp.655-665
/
2020
In this study, chemical information on a total of 20 individual compounds was constructed to identify isoflavones from the previous reports related with used parts(seeds, leaves, stems, pods) and products of soybean(Glycine max L.). Through constructed library and UPLC-DAD-QToF/MS analysis, a total of 19 individual isoflavones including aglycones, glucosides, acetylglucosides and malonylglucosides as major compounds was identified and quantified from 14 selected soybean seeds. Among them, genistein 7-O-(2"-O-apiosyl)glucoside and genistein 7-O-(6"-O-apiosyl)glucoside(ambocin) were identified tentatively as novel compounds in soybean seeds. Besides, among malonylglucosides, glycitein 4'-O-(6"-O-malonyl)glucoside was estimated for the first time. Total isoflavone contents were distributed from 240.21 to 445.21(mg/100 g, dry matter) and 7-O-6"-O-malonylglucosides were composed of 77.8% on total isoflavone as well as genistein derivatives were confirmed as major class. It was considered importantly that the development of isoflavone-rich varieties was necessary to strengthen their effects such as anti-inflammation, anti-cancer and menopause mitigation. The qualitative and quantitative data presented precisely in this study could be help to select and breed isoflavone-rich varieties. Furthermore, their basic isoflavone profile is expected to be applied to estimate the change of isoflavone conjugates on bioavailability after soy food supplements.
Min-Chan, Kim;Yong-Hoon, Choi;Han-Sang, Lim;Jae-Sam, Kim
The Korean Journal of Nuclear Medicine Technology
/
v.26
no.2
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pp.32-36
/
2022
Purpose There are reports that the COVID-19 vaccine causes false positive uptake of axillary lymph nodes. Therefore, this paper intends to evaluate the change in SUVmax of axillary lymph nodes with the period after the COVID-19 vaccination. Materials and Methods In 134 breast cancer patients who were tested for 18F-FDG PET/CT at Severance hospital, 3.7 MBq/kg of 18F-FDG was intravenously injected and scanned for 2 minutes per bed after 60 minutes. The equipment was Discovery 600 (GE Healthcare, MI, USA). The period was divided into four groups, 0 to 2 weeks, 3 to 6 weeks, 7 to 10 weeks, and 11 weeks or more. SUVmax was measured after checking the uptake of axillary lymph nodes on the ipsilateral side of vaccination and the Kruskal-Wallis test was performed using SPSS Statistics 28 (IBM Corp., Armonk, NY, USA). Results From 0 to 2 weeks groups to 11 weeks or more group, the average of SUVmax was measured in the order of 5.52, 2.85, 1.82, and 1.7. As a result of the Kruskal-Wallis test, there was a significant difference between 0 to 2 weeks group from all other groups (P < 0.05), and there was no significant difference between the remaining three groups. Conclusion The SUVmax of axillary lymph nodes decreased over the period after the COVID-19 vaccination and no significant difference was found after 3 weeks of vaccination. Therefore, it is recommended to record COVID-19 vaccination information before examination.
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