• The Plant Pathology Journal
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• 제33권2호
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• pp.184-192
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• 2017

Tylenchulus semipenetrans is an important and widespread plant-parasitic nematode of citrus worldwide and can cause citrus slow decline disease leading to significant reduction in tree growth and yield. Rapid and accurate detection of T. semipenetrans in soil is important for the disease forecasting and management. In this study, a loop-mediated isothermal amplification (LAMP) assay was developed to detect T. semipenetrans using DNA extracted from soil. A set of five primers was designed from the internal transcribed spacer region (ITS1) of rDNA, and was highly specific to T. semipenetrans. The LAMP reaction was performed at $63^{\circ}C$ for 60 min. The LAMP product was visualized directly in one reaction tube by adding SYBR Green I. The detection limit of the LAMP assay was $10^{-2}J2/0.5g$ of soil, which was 10 times more sensitive than conventional PCR ($10^{-1}J2/0.5g$ of soil). Examination of 24 field soil samples revealed that the LAMP assay was applicable to a range of soils infested naturally with T. semipenetrans, and the total assay time was less than 2.5 h. These results indicated that the developed LAMP assay is a simple, rapid, sensitive, specific and accurate technique for detection of T. semipenetrans in field soil, and contributes to the effective management of citrus slow decline disease.

• The Plant Pathology Journal
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• 제24권1호
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• pp.46-51
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• 2008

With the goal of achieving better integrated pest management for hot pepper, a disease-forecasting system was compared to a conventional disease-control method. Experimental field plots were established at Asan, Chungnam, in 2005 to 2006, and hourly temperature and leaf wetness were measured and used as model inputs. One treatment group received applications of a protective fungicide, dithianon, every 7 days, whereas another received a curative fungicide, dimethomorph, when the model-determined infection risk (IR) exceeded a value of 3. In the unsprayed plot, fruits showed 18.9% (2005) and 14.0% (2006) anthracnose infection. Fruits sprayed with dithianon at 7-day intervals had 4.7% (2005) and 15.4% (2006) infection. The receiving model-advised sprays of dimethomorph had 9.4% (2005) and 10.9% (2006) anthracnose infection. Differences in the anthracnose levels between the conventional and model-advised treatments were not statistically significant. The efficacy of 10 (2005) and 8 (2006) applications of calendar-based sprays was same as that of three (2005 and 2006) sprays based on the disease-forecast system. In addition, we found much higher the IRs with the leaf wetness sensor from the field plots comparing without leaf wetness sensor from the weather station at Asan within 10km away. Since the wetness-periods were critical to forecast anthracnose in the model, the measurement of wetness-period in commercial fields must be refined to improve the anthracnose-forecast model.

• 한국정보통신학회논문지
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• 제20권8호
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• pp.1460-1465
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• 2016

오늘날 많은 비용이 국가 의료보장체계의 유지를 위협하고 있다. 국가 질병 통제 및 방지 센터의 감사체계를 동반한 건강관리 역학성에 대한 연구에도 불구하고, 시간 한계, 표본 한계, 대상 질병 한계에 대한 제약이 여전히 존재하고 있다. 이러한 배경에서, 방대한 양의 전수 데이터를 활용하여, 많은 기술들이 건강의 선제적 예측이나 그 대상 질병을 확장하는 분야에 충분하게 적용되고 있다. 우리는 국민건강보험의 구조적 데이터와 소셜네트워크서비스의 비구조적 데이터를 활용하여 질병을 예측하는 모형을 설계하였다. 이 모형은 건강예보서비스를 제공함으로써, 국민건강을 증진시키고 사회적 혜택을 극대화할 수 있다. 또한, 빅데이터 분석에 근거하여, 건강보험비용의 갑작스러운 증가를 감소시키거나 적시적인 질병발생을 예측할 수도 있다. 관련된 의료 예측 사례를 살펴보았고, 제안된 모형의 검증을 위하여 시범과제를 통한 실험을 수행하였다.

• 식물병연구
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• 제7권3호
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• pp.150-154
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• 2001

세균성벼알마름병의 발생 예측 모델을 만들기 위하여 출수기의 기상 환경과 병 발생과의 관계를 자료분석(1992~2000)과 온실 및 포장시험을 통해 조사하였다. 세균성벼알마름병의 발생이 많은 해는 '94, '95, '98, 2000년이었고, 중만생종 출수기인 8월 상.중순에 고온이 지속되면서 연속강우가 많았다. 반면 병 발생이 적었던 '93년은 강우량과 강우일수는 많았으나 저온이었고, '97년에는 온도는 높았으나 강우가 적은 경향이었다. 출수기에 접종 후 습실처리 하였을 때(24시간 이상) $10^2$cfu/ml에서부터 발병하기 시작하여 접종농도가 높을수록 발병도가 높아져 $10^{8}$ cfu/ml에서는 86.1%의 발병도를 보였다. 습실처리를 하지 않은 경우에는 $10^{8}$ cfu/ml에서만 12.5% 발병하였다. 또한 발병도가 증가함에 따라 천립중과 등숙률이 현저히 감소하였다.

• 한국해양바이오학회지
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• 제4권1호
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• pp.6-10
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• 2010

Indonesia is well-known as biggest producer of seaweed especially for Eucheuma and Gracilaria and also has huge potential resources and capability to develop seaweed cultivation and product. There are several provinces which have potential resources and have been contributing on seaweed production. The next challenge about seaweed production is using integrated system on brackishwater and marine aquaculture. Furthermore, about 2,000,000 ton of potential seaweed production is not explored yet. This article also tries to figure out some related aspects which are technical, economical and forecasting aspect. There is a disease which named "ice-ice" is one of the main problem and giving a new challenge in developing of problem solving for seaweed cultivation method. Economical parameters are also main important key to find out the feasibility of seaweed cultivation industry. In addition, the seaweed cultivation and production in Indonesia also have potential performance on biofuel resources as a part for solving the world problem on energy demand.

• 한국식품조리과학회지
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• 제6권4호통권13호
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• pp.41-50
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• 1990

This study aimed to investigate the change in food balance and dietary patterns, caused by the growth of per capita GNP during $1962{\sim}1987$. For the purpose of this analysis, ordinary least square (OLS) was adopted. Per capita GNP was independent variable and the other factors dependent variables. The other factors included Engel coefficient, food supply, energy supply, nutrient intake and the ratio of self-supply of food. The result revealed that the some variables have (+) correlation, the some variables (-) correlation and the other variables no correlation with per capita GNP. If forecasting models are designed with these results, it will be helpful for national health and nutrition, food balance and disease prevention.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2017년도 춘계 종합학술대회 논문집
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• pp.33-34
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• 2017

In 2015, Ministry of Health and Welfare of Korea announced a research and development plan of using Korean healthcare data to support decision making, reduce cost and enhance a better treatment. This project relies on the adoption of BigData technology such as Apache Hadoop, Apache Spark to store and process HealthCare Data from various institution. Here we present an approach a design and implementation of OLAP server in Korean HealthCare BigData platform. This approach is used to establish a basis for promoting personalized healthcare research for decision making, forecasting disease and developing customized diagnosis and treatment.

• 한국농림기상학회:학술대회논문집
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• 한국농림기상학회 2005년도 추계 학술발표논문집
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• pp.71-73
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• 2005

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제7권1호
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• pp.57-68
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• 2001

this study is aiming to obtain an index and a standard assessment which will help in forecasting circulation (critical movement-line) & behavior of pediatric out-patients for each sickness for future children's hospitals construction planning. The study above was based on the analytical results of ordinary disease types of child patients and the circulation of pediatric out-patients by each sickness, along with the comparison study on relationship between these analytical results and hospital facilities.

• 한국잠사곤충학회지
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• 제3권
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• pp.45-49
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• 1963

이 시험은 예비시험에 지나지 않고 그 병원성에 대하여서는 익년에 다시 하여야 한다. 그러나 지금까지 하여온 결과를 종합하여 요점을 들면 다음과 같다. (1) 누에의 녹강병과 야외곤충의 경화병 시체는 공통된 병원균 Nomuraea pracina와 Isaria spp에 의하여서 걸리는 것이라고 짐작이 된다. (2) 송충이는 Isaria spp에 의하여 이미 그 구제방법으로 실시하고 있어서 다른 야외 곤충에도 그 포자가 전파되어 있음을 짐작할 수 있다. (3) 흰불나방 유충은 경화병균에 의하여 침범되지 않는 것 같다.