• Title/Summary/Keyword: Value of Human

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Changes in Teaching Practices of Elementary School Teachers in Scientific Modeling Classes: Focused on Modeling Pedagogical Content Knowledge (PCK) (과학 모델링 수업에서 나타난 초등 교사의 수업 실행 변화 -모델링 PCK를 중심으로-)

  • Uhm, Janghee;Kim, Heui-Baik
    • Journal of The Korean Association For Science Education
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    • v.40 no.5
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    • pp.543-563
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    • 2020
  • This study explores how the teaching practices of two teachers changed during scientific modeling classes. It also aims to understand these changes in terms of the teachers' modeling pedagogical content knowledge (PCK) development. The study participants were two elementary school teachers and their fifth-grade students. The teachers taught eight lessons of scientific modeling classes about the human body. The data analysis was conducted for lessons 1-2 and 7-8, which best showed the change in teaching practice. The two teachers' teaching practices were analyzed in terms of feedback frequency, feedback content, and the time allocated for each stage of model generation, evaluation, and modification. Teacher A led the evaluation and modification stages in a teacher-driven way throughout the classes. In terms of feedback, teacher A mainly used answer evaluation feedback in lesson 1-2; however, in lesson 7-8, the feedback content changed to thought-provoking feedback. Meanwhile, teacher B mostly led a teacher-driven model evaluation and modification in lesson 1-2; however, in lesson 7-8, she let her students lead the model evaluation and modification stages and helped them develop models through various feedbacks. The analysis shows that these teaching changes were related to the development of modeling PCK components. Furthermore, the two teachers' modeling PCK differed in teaching orientation, in understanding the modeling stages, and in recognizing the value of modeling, suggesting the importance of these in modeling teaching practice. This study can help improve the understanding of modeling classes by revealing the relationship between teaching practices and modeling PCK.

The Perception of Aseptic Foods in Cancer Patients (멸균식 개발에 대한 암환자의 인식조사)

  • Lee, Kyung-A;Son, Eun-Joo;Song, Beom-Seok;Kim, Jae-Hun;Lee, Ju-Woon;Lyu, Eun-Soon
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.42 no.2
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    • pp.203-211
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    • 2013
  • The purpose of this study was to investigate the perception of aseptic foods (sterilized foods with radiation technology) in cancer patients in Busan. The subjects were 192 cancer patients at a hospital. This study was performed through interviews using questionnaires. Patients had perception scores on the need to develop aseptic foods (4.30 points out of 5.00), use aspetic foods (4.06/5.00), and intake aseptic foods (4.04/5.00). Patients less than 59 years old had significantly higher perception scores than those over 60 years old (p<0.05). The scores on aseptic food indicated the importance of various factors, including sanitation (4.86/5.00), good materials (4.82/5.00), nutritional value (4.79/5.00), unused of monosodium glutamate (MSG) (4.66/5.00), taste (4.61/5.00), and reasonable prices (4.60/5.00). The patients who were college graduates showed significantly higher scores and importance in good materials, proper packaging unit, simple cooking methods, food diversity, and familiar foods (p<0.05). In the aseptic menu items, patients wanted to include seasoned raw vegetables (4.11/5.00), a set menu (including cooked grain, soup, and a side dish) (4.08/5.00), seasoned cooked vegetables (4.04/5.00), low sodium kimchi (3.98/5.00), and fermented sauces (3.92/5.00). The patients with gastrointestinal cancer and other cancers (e.g. breast, thyroid, and renal cancer) had significantly higher necessity scores than lung patients for stew, seasoned raw vegetables, salad, low sodium kimchi, and a set menu (p<0.05).

The Cut-off Values and Related Factors for Serum Total Cholesterol in Normal Korean Adults (정상 성인에서 총콜레스테롤의 분별치와 관련 요인)

  • 홍인선;김지식;여영규
    • Biomedical Science Letters
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    • v.2 no.2
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    • pp.187-198
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    • 1996
  • The cut-off values and related factors for total cholesterol of serum in normal Korean adults were studied from March to October, 1995, based on the data of 1,818 healthy adults of human involved the male and female. The comparisons of the serum total cholesterol levels were analyzed by sex, age, systolic blood pressure, diastolic blood pressure, body weight, height, PIBW, BMI and other biochemical tests. 1. The serum total cholesterol level were 194.4 mg/dl in total group, 186.9 mg/dl for male, and 197.6 mg/dl for female. 2. There was no significant differences by sex among the 21 to 50 ages group, but significantly higher in women than in men over 51 years old. 3. In general, the levels of serum total cholesterol were increased with age, the highest level in men was 192.7 mg/ dl in 51 to 60 years old, and 210.5 mg/dl in more than 60 years old in women. 4. The cut-off values of serum total cholesterol for moderate risk were 191 mg/dl in 21 to 30 years group, 195 mg/dl in 31 to 40 years,214 mg/dl in 41 to 50 years, 227 mg/dl in 51 to 60 years, and 222 mg/dl in more than 61 years. The cut-off values of serum total cholesterol for high risk were 214 mg/dl dl in 21 to 30 years group, 214 mg/dll in 31 to 40 years, 239 mg/dl in 41 to 50 years, 213 mg/dl in 51 to 60 years, and 248 mg/dl in more than 61 years. 5. The mean values of serum total cholesterol were showed positive correlation with age, PIBW, BMI, systolic blood pressure and diastolic blood pressure. 6. Serum total cholesterol level of drinking group(188.9$\pm$34.85mg/dl) was showed love. than those of non-drinking group(196.0$\pm$36.0 mg/dl). 7. Serum total cholesterol levels of regular excercise group(192.1$\pm$33.3 mg/dl) was significantly lower than those of non regular excercise group(195.8$\pm$37.0 mg/dl).

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p53 Gene Mutation in Gastric Cancer Tissue (위암조직에서 p53 유전자의 돌연변이)

  • Ku, Ki-Beom;Park, Seong-Hoon;Cheong, Ho-Young;Lee, Myung-Hoon;Yu, Wan-Sik
    • Journal of Gastric Cancer
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    • v.6 no.4
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    • pp.214-220
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    • 2006
  • Purpose: p53 is one of the most commonly mutated genes in human tumors. The aim of this study was to analyze p53 mutation in gastric cancer and its correlations with the clinicopathologic variables to clarify the usefulness of p53 mutation as a prognostic factor. Materials and Methods: Specimens from 331 patients with gastric cancer who underwent a gastrectomy between March 1999 and April 2001 at the Kyungpook National University Hospital were used. p53 gene mutations were assessed by using a polymerase chain-reaction single-strand conformation polymorphism (PCR-SSCP) analysis. The correlations between p53 gene mutation and clinocopathologic parameters were analyzed. Results: p53 mutations were found in 66 (19.9%) tumors. Among those 66 cases, mutations were seen in 23 tumors at axon 5, in 8 at exon 6, in 21 at exon 7, and in 17 at exon 8. Two mutations were shown in 3 tumors. Thiriy-six (23.1%) of 156 intestinal-type tumors and 19 (13.1%) of 145 diffuse-type tumors showed p53 gene mutation (P=0.007). The frequency of p53 gene mutation didn't show any significant differences according to age, sex, stage, location, or gross type. Exon 5 mutations showed more frequently in intestinal-type tumors than in diffuse-type tumors (9.7% vs. 2.8%, P=0.024), and p53 mutation were more frequent in lymph nodes metastasis group than lymph nodes non-metastasis group with statistical significance (25.0% vs 15.6%, P=0.034). The five-year survival rate showed no statistically significant difference with p53 mutation (P=0.704). Conclusion: p53 mutations assessed by PCR-SSCP had little value as a prognostic factor after gastrectomy in patients with gastric cancer.

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Hypoglycemic and Hypolipidemic Effects of Jerusalem artichoke Composites in Streptozotocin induced Diabetic Rats (명월초, 여주 및 울금을 포함하는 돼지감자 복합물의 streptozotocin 유발 당뇨쥐에서 혈당강하 및 체내 지질개선에 미치는 영향)

  • Hu, Wen-Si;Lee, Soo-Jung;Pyo, Jae-Ho;Kim, Sung-Hee;Sung, Nak-Ju
    • Journal of Life Science
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    • v.28 no.6
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    • pp.671-680
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    • 2018
  • Hypoglycemic and hypolipidemic effects of Jerusalem artichoke composites (JAP) with extracts of G. procumbens (12.5%), M. charantia (12.5%), and C. longa (12.5%) to H. tuberosus concentrate (JA, 50%) were evaluated in streptozotocin (STZ) induced diabetic rats. Rats were divided into seven groups: normal (Normal), diabetic control (Diabetic), group fed G. procumbens extract (0.5 g/kg bw, D-GPE), group fed JAP (0.5 g/kg bw, D-JAP1; 1.5 g/kg bw, D-JAP2), group fed JA (0.5 g/kg bw, D-JA), and group fed Metformin (0.2 g/kg bw, D-MET) as a positive control. The blood glucose levels over 4 weeks were significantly decreased in the D-JAP2 and D-MET groups compared to the other groups after 3 weeks. The serum insulin level was not significant among the groups fed an experimental diet, but the HOMA-IR value was significantly decreased compared to the diabetic control group. AST and ALT activities in the serum were lowest in D-JAP1. Total lipid and triglyceride contents in the serum decreased in the groups fed an experimental diet, and the HDL-C contents of D-GPE, D-JAP1, and D-JAP2 were significantly increased compared to the diabetic control group. Triglyceride contents in the liver tissue were significantly lower in the D-GPE, D-JAP1, and D-JAP2 groups, and hepatic TBARS content was significantly decreased in the D-JAP1 and D-JAP2 groups compared to the diabetic control group. Hepatic antioxidative enzyme levels, such as SOD, catalase, and GSH-Px, were significantly elevated in groups fed an experimental diet compared to the diabetic control group. Therefore, JAP may be more effective than JA in the human body due to its hypoglycemic and hypolipidemic activities.

From Patients and Caregivers 119 Rescue party's Experiences for Violence in the Pre-Hospital Emergency Medical Field (환자 및 보호자로부터 구급대원이 경험한 병원 전 응급의료현장 폭력실태)

  • Shin, Sang-Yol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.12
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    • pp.3870-3878
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    • 2009
  • The purpose of this study was to investigate 119 rescue party's violence experiences and to analyze their responses of violence experiences based on the pre-hospital emergency medical field. Data were collected from the self-administered survey of 226 rescue party in Jeollabuk-do area in Korea from January 1 through March 2, 2009. The data were analyzed by descriptive statistics and logistic regression analysis using SPSS Win 12.0. The results were as follows: first, all of 119 rescue unit in the pre-hospital emergency medical field reported that they got violence experiences more than once a week, and 62% of rescue team were exposed to physical violence. Patient's factors that caused violence were drug abuse or alcohol(56.2%), on the other hand rescue party's factors were shortage of human resources. Second, 42% of the respondents replied that they did not have any educational experiences for prevention and coping methods about violence within 5 years. 77.4% of those surveyed indicated that they wanted to receive specific educations which can prevent and cope with violence. Third, the mean value of total violent response scores was 2.53, and emotional response score was 3.2, social response score was 2.22, and physical response score was 2.17. Fourth, violent response score related to general characteristics proposed that physical(t=-2.08, p=o.38), emotional(t=-7.13, p=.006), and total responses(t=-4.764, p=.000) were statistically significant. And emotional(t=4.257, p=.000) and total responses(t=8.1330, p=.000) related to age were also statistically significant. Finally, among current tenure qualification scores, social response(t=9.987, p=.012) and total score(t=8.130, p=.000) were statistically significant. Between fire departments, violent response score suggested that physical(t=9.987, p=.000), emotional(t=2.433, p=.012), social(t=6.738, p=.000), and total score(t=5.943, p=.000) were statistically significant.

Effect of Cycloheximide and Holding Solution on Vase Life of Cut 'Blue Magic' Iris Flowers according to the Flower Development and Opening Stages (Cycloheximide 및 보존용액 처리가 개화단계에 따른 절화 아이리스 '블루매직'의 수명에 미치는 영향)

  • Kim, Young-A;Lee, Jong-Suk
    • Horticultural Science & Technology
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    • v.28 no.5
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    • pp.790-795
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    • 2010
  • This experiment was conducted to clarify the effects of cycloheximide and holding solution on vase life of cut 'Blue Magic' iris. The vase life of iris flowers held in 3% sucrose (S) + $100mg{\cdot}L^{-1}$ hydroxy quinoline sulfate (HQS) + $50mg{\cdot}L^{-1}$ $AgNO_3$ + $100mg{\cdot}L^{-1}$ Benzylaminopurine (BA), 3% S + $100mg{\cdot}L^{-1}$ HQS + $10{\mu}M$ cycloheximide (CHI), or 3% S + $100mg{\cdot}L^{-1}$ HQS + $50{\mu}M$ CHI were much longer than those held in distilled water. Squeeze stem phenomenon that showed at a holding solution containing $200mg{\cdot}L^{-1}$ HQS disappeared at a holding solution containing $100mg{\cdot}L^{-1}$ HQS. The holding solution containing 3% S + $100mg{\cdot}L^{-1}$ HQS + $50mg{\cdot}L^{-1}$ $AgNO_3$ + $100mg{\cdot}L^{-1}$ BA extended the most effective treatments on vase life, fresh weight, water balance, and flowering of cut iris flowers. However, the holding solution containing 3% S + $100mg{\cdot}L^{-1}$ HQS + $10{\mu}M$ CHI and 3% S + $100mg{\cdot}L^{-1}$ HQS + $50{\mu}M$ CHI was not effective in solution uptake or transpiration, but did result in high water balance. Iris flowers treated with CHI at the half-open flower stage showed increases in ornamental value, such as full flower opening and extended vase life. To improve flower quality and prolonging vase life of cut iris flowers, a holding solution containing $50{\mu}M$ CHI can be used continuously from the half-open stage.

숙성 토하젓의 기능성분 및 토하젓 소스 개발에 관한 연구

  • 박복희
    • Proceedings of the SOHE Conference
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    • 1997.12a
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    • pp.39-43
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    • 1997
  • Toha-jeod was manufactured by seven methods ; low salt group (L:15% sodium chloride), high salt g group (H:23% sodium chloride), 50% conventional soybean sauce group (S), low salt group containing 2% w wheat bran (W2%-L), high saIt group containing 2% wheat bran (W2%-H),high salt group containing 2% wheat bran (W2%-H), high salt group containing 4% wheat bran (W4%-H). After these seven groups were refrigerated at $4{\pm}1^{\circ}C$, they were sampled at intervals of three months and analyzed functional components. The free amino acid in Toha-jeod which are omitine, glutamic acid, leucine, alanine, lysine and valine increased gradually up to six months of fermentation and decreased by nine months. Conventional soybean sauce group increased continuously during the fermentation process. Hypoxanthine was altered almost among other nueletides. ATP was not detected, IMP and inosine had disapapted after the six months fermentation. Polyene fatty acids and n-3 fatty acids were decreased and s saturated fatty acids were not altered in the group containing wheat bran during fermentation. In the Hunter values, the group containing wheat bran and high salt group showed lower level than the group n not containing wheat bran and low salt group. Redness indicating the value of Toha-jeod increased as Toha-jeod was fermentated. Low salt group and conventional soybean sauce group were superior to other groups in the extent of redness. As the fermentation of Toha-jeod progressed for a long time, molecular weight distribution tended to become less molecular and the formation of chitin oligosaccharides was increased significantly. After nine months of fermentation, 24.75% chitin oligosaccharides [($GlcNAd_4$ ~ ($GlcNAd_8$, M.W. 823~1789] were created in the high salt group containing 2% wheat bran. [($GlcNAd_6$. M.W. 1236J , that is NACOS-6, which was reported as an antitumor activity material, was present in 4.01~4.37% of total Toha chitin content. 66.30% chitin oligosaccharides were created in conventional soybean sauce.

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Target Word Selection Disambiguation using Untagged Text Data in English-Korean Machine Translation (영한 기계 번역에서 미가공 텍스트 데이터를 이용한 대역어 선택 중의성 해소)

  • Kim Yu-Seop;Chang Jeong-Ho
    • The KIPS Transactions:PartB
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    • v.11B no.6
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    • pp.749-758
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    • 2004
  • In this paper, we propose a new method utilizing only raw corpus without additional human effort for disambiguation of target word selection in English-Korean machine translation. We use two data-driven techniques; one is the Latent Semantic Analysis(LSA) and the other the Probabilistic Latent Semantic Analysis(PLSA). These two techniques can represent complex semantic structures in given contexts like text passages. We construct linguistic semantic knowledge by using the two techniques and use the knowledge for target word selection in English-Korean machine translation. For target word selection, we utilize a grammatical relationship stored in a dictionary. We use k- nearest neighbor learning algorithm for the resolution of data sparseness Problem in target word selection and estimate the distance between instances based on these models. In experiments, we use TREC data of AP news for construction of latent semantic space and Wail Street Journal corpus for evaluation of target word selection. Through the Latent Semantic Analysis methods, the accuracy of target word selection has improved over 10% and PLSA has showed better accuracy than LSA method. finally we have showed the relatedness between the accuracy and two important factors ; one is dimensionality of latent space and k value of k-NT learning by using correlation calculation.

A Proposal of a Keyword Extraction System for Detecting Social Issues (사회문제 해결형 기술수요 발굴을 위한 키워드 추출 시스템 제안)

  • Jeong, Dami;Kim, Jaeseok;Kim, Gi-Nam;Heo, Jong-Uk;On, Byung-Won;Kang, Mijung
    • Journal of Intelligence and Information Systems
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    • v.19 no.3
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    • pp.1-23
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    • 2013
  • To discover significant social issues such as unemployment, economy crisis, social welfare etc. that are urgent issues to be solved in a modern society, in the existing approach, researchers usually collect opinions from professional experts and scholars through either online or offline surveys. However, such a method does not seem to be effective from time to time. As usual, due to the problem of expense, a large number of survey replies are seldom gathered. In some cases, it is also hard to find out professional persons dealing with specific social issues. Thus, the sample set is often small and may have some bias. Furthermore, regarding a social issue, several experts may make totally different conclusions because each expert has his subjective point of view and different background. In this case, it is considerably hard to figure out what current social issues are and which social issues are really important. To surmount the shortcomings of the current approach, in this paper, we develop a prototype system that semi-automatically detects social issue keywords representing social issues and problems from about 1.3 million news articles issued by about 10 major domestic presses in Korea from June 2009 until July 2012. Our proposed system consists of (1) collecting and extracting texts from the collected news articles, (2) identifying only news articles related to social issues, (3) analyzing the lexical items of Korean sentences, (4) finding a set of topics regarding social keywords over time based on probabilistic topic modeling, (5) matching relevant paragraphs to a given topic, and (6) visualizing social keywords for easy understanding. In particular, we propose a novel matching algorithm relying on generative models. The goal of our proposed matching algorithm is to best match paragraphs to each topic. Technically, using a topic model such as Latent Dirichlet Allocation (LDA), we can obtain a set of topics, each of which has relevant terms and their probability values. In our problem, given a set of text documents (e.g., news articles), LDA shows a set of topic clusters, and then each topic cluster is labeled by human annotators, where each topic label stands for a social keyword. For example, suppose there is a topic (e.g., Topic1 = {(unemployment, 0.4), (layoff, 0.3), (business, 0.3)}) and then a human annotator labels "Unemployment Problem" on Topic1. In this example, it is non-trivial to understand what happened to the unemployment problem in our society. In other words, taking a look at only social keywords, we have no idea of the detailed events occurring in our society. To tackle this matter, we develop the matching algorithm that computes the probability value of a paragraph given a topic, relying on (i) topic terms and (ii) their probability values. For instance, given a set of text documents, we segment each text document to paragraphs. In the meantime, using LDA, we can extract a set of topics from the text documents. Based on our matching process, each paragraph is assigned to a topic, indicating that the paragraph best matches the topic. Finally, each topic has several best matched paragraphs. Furthermore, assuming there are a topic (e.g., Unemployment Problem) and the best matched paragraph (e.g., Up to 300 workers lost their jobs in XXX company at Seoul). In this case, we can grasp the detailed information of the social keyword such as "300 workers", "unemployment", "XXX company", and "Seoul". In addition, our system visualizes social keywords over time. Therefore, through our matching process and keyword visualization, most researchers will be able to detect social issues easily and quickly. Through this prototype system, we have detected various social issues appearing in our society and also showed effectiveness of our proposed methods according to our experimental results. Note that you can also use our proof-of-concept system in http://dslab.snu.ac.kr/demo.html.