• Title/Summary/Keyword: occurrence pattern

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Occurrence of Thioredoxin Reductase in Deinococcus Species, the UV resistant Bacteria

  • Seo Hee-Jeong;Lee Young-Nam
    • Journal of Microbiology
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    • v.44 no.4
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    • pp.461-465
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    • 2006
  • The occurrence of thioredoxin reductase (NAD(P)H: oxidized-thioredoxin reductase, EC 1.6.4.5, TrxR) in five mesophilic species of Deinococcus was investigated by PAGE. Each species possessed a unique TrxR pattern, for example, a single TrxR characterized D. radiopugnans while multiple forms of TrxR occurred in other Deinococcal spp. Most of TrxRs occurring in Deinococcus showed dual cofactor specificity, active with either NADH or NADPH, although the NADPH specific-TrxR was observed in D. radiophilus and D. proteolytic us.

Yeast Flora of the Human Vagina and Effects of Antifungal Agents on its Growth in vitro

  • Haridy, Mamdouh S.A.;Moustafa, A
    • The Korean Journal of Mycology
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    • v.21 no.2
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    • pp.140-145
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    • 1993
  • Yeast strains were isolated from healthy women(36 isolates), infertile women(15 isolates) and women suffering from local morbidity(82 isolates). On the basis of 37 different physiological and morphological characteristics, the isolated 133 yeast strains were assigned to 10 species belonging to 5 genera. Four pathogenic species were identified. They were Candida albicans, Candida parapsilosis, Candida tropicalis and Trichosporon beigelii. Candida albicans was the dominant species, whereas Saccharomyces cerevisiae prevailed among the saprophytic species. The percentage occurrence as well as the pattern of yeast species differed in the diagnostic groups. It was higher in the women suffering from local morbidity than in the healthy and infertile women. Moreover, a wider spectrum of species was isolated from this group. Women with intrauterine contraceptive devices showed the highest percentage of yeast occurrence which reached 50% of those tested. Five different antifungal agents were tested fro their effects on the growth of the isolated yeast species in vitro. Nystatin was the most effective against the isolated yeast species, followed by pyrithion zink and ciclopiroxolamine, whereas micronazole and clotrimazole, showed a lesser effect.

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Model experiment for calculation of debris flow's shock force (Use dry materials) (토석류 충격력 산정을 위한 모형실험(건조시료 활용))

  • Kim, Jin-Hwan;Lee, Yong-Soo;Cho, Gyu-Tae;Choi, Won-Hun
    • Proceedings of the Korean Geotechical Society Conference
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    • 2009.09a
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    • pp.1271-1274
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    • 2009
  • One of the landslide, Debris flow means flow mixed of rocks, gravels, sand and soil with water. Debris flow occurred in summer by passed the rainy season and typhoon. Especially, Localized heavy rain derived from abnormal weather caused debris flow independent of season. It is increase to collapse of house, bridge, roads by debris flow but countermeasure studies about occurrence cause, movement pattern, damage scale about debris flow are insufficient. This study performed debris flow model experiment using dry material and calculated shock force predicted debris flow occurrence.

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A Study on the Reliability Evaluation of Thermal Deformation of Electronic Product Package by ESPI (ESPI를 이용한 전자제품 패키지 열변형 신뢰성 평가에 관한 연구)

  • Cho Ji-Hyun;Lee Jae-Hyuk;Park Sang-Young;Jang Joong-Soon;Kim Gwang-Sub
    • Journal of Applied Reliability
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    • v.5 no.4
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    • pp.439-450
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    • 2005
  • Thermal deformation of Digital Television effect friction noise directly. However there was no methods to find and to solve the thermal friction noise which is huge problem in Digital Television In this study, to figure out occurrence cause of friction noise of the product, we measured thermal deformation of the product to organize a triggering device united with Laser Doppler Vibrometer(LDV) which turned occurrence moment of thermal friction noise into a possibility to measure. In conclusion, we could offer an effective information of design, and ensured ESPI(Electronic Speckle Pattern Interferometry) measure technique which is more detailed than the past way.

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Analysis of the Characteristics about Diversion of Surplus Classroom in Elementary Schools in Rural Area - Concentrated on the Modernized Elementary Model School in Chonnam Area - (농어촌지역 초등학교 유휴교실의 전용특성 분석 - 전남지역 농어촌 현대화 시범학교를 중심으로 -)

  • Jeong, Joo-Seong
    • Journal of the Korean Institute of Educational Facilities
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    • v.15 no.6
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    • pp.30-38
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    • 2008
  • The aim of this study is to investigate present situation about occurrence of surplus classrooms by the merger and abolition of rural elementary schools, and to deduce basic architectural data for efficient utilization. It was examined based on the analysis of using pattern and interview of teachers of modernized elementary model schools. The occurrence ratio of surplus classrooms was about 30 to 60 percentages among seven investigated schools, the ratio was gradually increasing. Most of them were nearly leaving without certain practical use because of inaccessibility and low degree of diversion. The characteristic about diversion of surplus classroom was shown to change from special or learning room to living-related room and management-related room in order, finally, it was used a room for child care with a lapse of time. Long-tenn and continuous data accumulation for diversion and utilization of surplus classroom should be required.

Depression, Self-esteem, Type A Behavior Pattern, and Locus of Control in Middle School Students (중학생의 우울과 자존감, A형 행동특성, 통제위의 관계)

  • Choi, Mi-Kyoung
    • Korean Journal of Health Education and Promotion
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    • v.28 no.4
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    • pp.51-61
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    • 2011
  • Objectives: The main purpose of this study was to examine factors associated with depression of middle school students in relation to self-esteem, type A behavior pattern, and locus of control. Methods: A survey was administered to a convenience sample of 309 middle school students. The data analysis procedure included frequency distribution, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression using depression as the dependent variable. Results: The prevalence of depression was 27.2%. Stepwise multiple regression revealed that the factors such as self-esteem(${\beta}$=0.422, p<0.001), type A behavior pattern(${\beta}$=0.166, p<0.001), and locus of control(${\beta}$=-0.165, p<0.001) turned out to be significant affecting factors. Forty nine percent of variance in depression was explained by these factors(40% of variance by self-esteem). Conclusions: The findings suggest that personal internalizing variables should be considered when developing mental health education program to prevent the occurrence of depression for middle school students.

Incidence and Occurrence Pattern of Viruses on Peppers Growing in Fields in Korea (국내 노지재배 고추의 바이러스 발생률 및 발병 현황)

  • Kwon, Sun-Jung;Cho, In-Sook;Yoon, Ju-Yeon;Chung, Bong-Nam
    • Research in Plant Disease
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    • v.24 no.1
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    • pp.66-74
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    • 2018
  • Field surveys to investigate the incidence and occurrence pattern of viruses in red pepper were conducted during 2015-2016 in Korea. A total of 424 samples in 2015 and 368 samples in 2016 were collected based on selection of plants showing symptoms from farmer's field from every June to September. Reverse transcription-Polymerase chain reaction was used to test all samples for the presence of one or more of following viruses: Cucumber mosaic virus (CMV), Broad bean wilt virus 2 (BBWV2), Tomato spotted wilt virus (TSWV), Beet western yellows virus (BWYV), Pepper mottle virus (PepMoV), Potato virus Y (PVY) and Pepper mild mottle virus (PMMoV). The average disease incidence was 91.7% in 2015 and 98% in 2016 and the all seven viruses were found although there were different kinds of regions. The percent virus incidence in collected samples during 2015 was as follows: CMV, 73.8%; BBWV2, 68.3%; BWYV, 46.9%; PMMoV, 14.6%; TSWV, 12.7%; PepMoV, 6.6% and PVY, 3.3%. For 2016, incidence was as follows: CMV, 73.3%; BBWV2, 71.4%; BWYV, 34.7%; TSWV, 27.9%, PMMoV, 19.2%; PepMoV, 13.5% and PVY, 3.5%. Mixed infections were prevalent over single infections and infection rate was 83% and 86.7% in 2015 and 2016, respectively.

Island Biogeographic Study on Distribution Pattern of the Naturalized Plant Species on the Uninhabited Islands in Korea (우리나라 무인도서의 귀화식물 분포에 대한 섬생물지리적 연구)

  • Chung, Jae-Min;Hong, Kyung-Nak
    • Journal of Ecology and Environment
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    • v.29 no.6
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    • pp.489-494
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    • 2006
  • For the ecosystem conservation and the effective management of naturalized plant species on 261 uninhabited islands distributed in southern and western sea in Korea, we tested the interrelationship between the pattern of distribution and dispersal of the naturalized plant species and the factors of geographical environment of uninhabited islands such as island area, distance from mainland, latitude, longitude, human impacts and habitat diversity. Out of 261 uninhabited islands surveyed, 106 species of the naturalized plants occurred on 229 (87.7%) islands. The naturalized plant species per island averaged 4.6 (SD=4.07) species, and plant species number were higher in southern group (87 species) than in western group (64 species) of islands. Plant species occurred on more than 100 islands were three species : Rumex crispus L. (153 islands), Erigeron annuus Pers. (130 islands), and Conyza canadensis (L.) Cronquist (121 islands), the highest grade '5' of 'degree of naturalization'. The occurrence frequency of 106 naturalized plant species was significantly correlated with island area, distance to mainland, strength of human impacts, and latitude and longitude. Correlation coefficient (r=-0.330) between occurrence frequency and distance from mainland was higher than between occurrence frequency and island area (r=-0.182). The result of path analysis confirmed that plant species number was significantly affected by island area p=0.336) and distance from mainland (p=-0.490), but in this analysis the effect of human impacts on plant species number was very weak (p=0.003). On the basis of these results, strategies on the conservation of ecosystem and the management of naturalized plant species in the uninhabited islands of Korea were discussed.

Analysis and Prediction Methods of Marine Accident Patterns related to Vessel Traffic using Long Short-Term Memory Networks (장단기 기억 신경망을 활용한 선박교통 해양사고 패턴 분석 및 예측)

  • Jang, Da-Un;Kim, Joo-Sung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.5
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    • pp.780-790
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    • 2022
  • Quantitative risk levels must be presented by analyzing the causes and consequences of accidents and predicting the occurrence patterns of the accidents. For the analysis of marine accidents related to vessel traffic, research on the traffic such as collision risk analysis and navigational path finding has been mainly conducted. The analysis of the occurrence pattern of marine accidents has been presented according to the traditional statistical analysis. This study intends to present a marine accident prediction model using the statistics on marine accidents related to vessel traffic. Statistical data from 1998 to 2021, which can be accumulated by month and hourly data among the Korean domestic marine accidents, were converted into structured time series data. The predictive model was built using a long short-term memory network, which is a representative artificial intelligence model. As a result of verifying the performance of the proposed model through the validation data, the RMSEs were noted to be 52.5471 and 126.5893 in the initial neural network model, and as a result of the updated model with observed datasets, the RMSEs were improved to 31.3680 and 36.3967, respectively. Based on the proposed model, the occurrence pattern of marine accidents could be predicted by learning the features of various marine accidents. In further research, a quantitative presentation of the risk of marine accidents and the development of region-based hazard maps are required.

A Comparison of Performance between STMP/MST and Existing Spatio-Temporal Moving Pattern Mining Methods (STMP/MST와 기존의 시공간 이동 패턴 탐사 기법들과의 성능 비교)

  • Lee, Yon-Sik;Kim, Eun-A
    • Journal of Internet Computing and Services
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    • v.10 no.5
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    • pp.49-63
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    • 2009
  • The performance of spatio-temporal moving pattern mining depends on how to analyze and process the huge set of spatio-temporal data due to the nature of it. The several method was presented in order to solve the problems in which existing spatio-temporal moving pattern mining methods[1-10] have, such as increasing execution time and required memory size during the pattern mining, but they did not solve properly yet. Thus, we proposed the STMP/MST method[11] as a preceding research in order to extract effectively sequential and/or periodical frequent occurrence moving patterns from the huge set of spatio-temporal moving data. The proposed method reduces patterns mining execution time, using the moving sequence tree based on hash tree. And also, to minimize the required memory space, it generalizes detailed historical data including spatio-temporal attributes into the real world scopes of space and time by using spatio-temporal concept hierarchy. In this paper, in order to verify the effectiveness of the STMP/MST method, we compared and analyzed performance with existing spatio-temporal moving pattern mining methods based on the quantity of mining data and minimum support factor.

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