• Korean Journal of Soil Science and Fertilizer
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• v.24
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• pp.5-38
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• 1991

비료(肥料)를 공업적(工業的)으로 제조(製造)하여 농업(農業)에 사용(使用)하기 시작(始作)한 이래(以來) 신비종(新肥種)의 개발(開發)에 대한 관심(關心)은 부단(不斷)히 계속(繼續)되어 왔으며 현재(現在)에도 어느 국가(國家)나 생산업계(生産業界)에서 개발(開發)을 위한 노력(努力)을 많이 기우리고 있음이 현실(現實)일 것이다. 어느 국가(國家)와 어느 시대(時代)에 있어서나 현존(現存) 비종(肥種)을 생산(生産)함에는 소비(消費)와 생산면(生産面)에서 상응(相應)하는 사정(事情)이 있었을 것이며 또한 미래(未來)에도 신비종(新肥種)을 개량(改良)하거나 창제(創製)함에는 여러 가지 관련문제(關聯問題)를 검토(檢討)하여 새로운 요구(要求)에 합리적(合理的)으로 부합(符合)되도록 설계(設計)해야 할 것이다. 비료(肥料)는 현대(現代) 농업(農業)에서 불가피(不可避)하게 사용(使用)되는 기본자재(基本資材)이며 세계적(世界的)으로 그 소비(消費)가 증가(增加)되나 국가별(國家別) 농업(農業)의 특수성(特殊性)에 맞추어서 비료(肥料)의 형태(形態)와 생산량(生産量)에 차이(差異)가 있게 되며 또 변화(變化), 개량(改良)될 것이다. 우리나라의 농업(農業)이 최근(最近) 급속(急速)히 변화(變化)되면서 생산수단(生産手段)과 경영(經營)에도 큰 변혁(變革)이 불가피(不可避)하게 따라야 할 것으로 판단(判斷)된다. 생산수단(生産手段)의 개량(改良)은 농산물(農産物) 생산가(生産價)를 낮추고 노력(勞力)의 투입(投入)을 줄이며 우수품질(優秀品質)의 농산물(農産物)을 안정적(安定的)으로 생산(生産)하기 위한 대응책(對應策)이 될 것이다. 비료(肥料)의 사용(使用)은 이러한 시대적(時代的) 요구(要求)에 맞추어 신비종(新肥種)이 개발(開發)되고 시용기술면(施用技術面)에서 발전(發展)이 있어야 될 것이다. 미래(未來)의 우리 나라 농업(農業)을 위하여 개발(開發)되어야 할 비종(肥種)의 형태(形態)와 그에 관련(關聯)되는 요건(要件)은 다음과 같이 요약(要約)된다. 1. 시비효율(施肥效率)을 높히기 위하여서나 성력재배(省力裁培)를 위하여 완효성(緩效性) 비료(肥料) 특히 질소비료(窒素肥料)의 신비종(新肥種) 개발(開發)이 절실(切實)히 필요(必要)하다고 판단(判斷)됨. 신비종(新肥種)은 대상작물(對象作物)의 종류(種類), 재배방식(裁培方式) 및 기계화(機械化) 상태(狀態)에 적합(適合)한 형태별(形態別)로 제조(製造)됨이 바람직함. 완효성(緩效性) 질소비료(窒素肥料)의 제조(製造)에는 화학합성(化學合成), 성형화(成形化), 흡착화(吸着化) 및 피복화(被覆化) 방식중(方式中) 성형화(成形化)에 의한 것이 최다(最多)이나 피복화(被覆化)도 재료(材料)와 기술(技術)의 발전(發展)에 따라 증가(增加)의 경향(傾向)임. 2. 현존(現存) 복합비료(複合肥料)의 토양(土壤) 및 작물(作物)에 대한 적합성(適合性)을 재검토(再檢討)하여 효율(效率)을 높히도록 개량(改良)함. 3. 소시비방식(少施肥方式)의 영농(營農)으로서 환경(環境)을 오염(汚染)으로부터 방호(防護)할 것이며 4. 작물종류(作物種類)(품종포함(品種包含)) 유전자형별(遺傳子型別) 비료감응성(肥料感應性)을 검정(檢定)하여 소시비(少施肥), 고효율(高效率)을 기(期)하도록함. 5 작물(作物)의 영양생리학(營養生理學) 분야(分野)에서도 비료외적(肥料外的)인 성장관련요인(成長關聯要因)의 작용(作用)을 연구(硏究)하여 응용(應用)의 가능성(可能性)을 추구(追究)함이 미래(未來)의 한 과제(課題)가 될 것으로 생각됨. 예(例): 유전공학적(遺傳工學的) 기법(技法)에 의한 성장인자(成長因子)의 개량(改良) 또는 시비효율(施肥效率)의 증대(增大) 작물성장(作物成長)과 미생물활동(微生物活動)과의 상호관계(相互關係) 등(等). 6. 가용(可用) 자원(資源)의 비료화(肥料化)를 위하여 타산업(他産業)의 부산물(副産物) 및 폐기물(廢棄物) (특히 유기질(有機質) 자원(資源))을 효율적(效率的)으로 재활용(再活用)하도록 함.

• Annals of Clinical Microbiology
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• v.18 no.2
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• pp.37-43
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• 2015

Background: Tuberculosis is globally the most important cause of death from single pathogen. Rapid and accurate identification of mycobacteria is essential for the control of tuberculosis. We evaluated a fluorescence in situ hybridization (FISH) method using peptide nucleic acid (PNA) probes for the differentiation of Mycobacterium tuberculosis complex (MTB) and nontuberculous mycobacteria (NTM) in direct smears of sputum specimens. Methods: The cross-reactivity of MTB- and NTM-specific PNA probes was examined with reference strains of M. tuberculosis ATCC 13950, Mycobacterium kansasii ATCC 12479, Mycobacterium fortuitum ATCC 6841, several clinical isolates of mycobacteria (Mycobacterium abscessus, Mycobacterium avium, Mycobacterium intracellulare, Mycobacterium gordonae and Mycobacterium chelonae), and 11 frequently isolated respiratory bacterial species other than mycobacteria. A series of 128 sputa (89 MTB culture positive, 29 NTM culture positive, and 10 under treatment culture negative) with grades of trace to 4+ were used to evaluate the performance of the method. Results: The MTB- and NTM-specific PNA probes showed specific reactions with the reference strains of MTB and M. kansasii and clinical isolates of mycobacteria except M. fortuitum ATCC 6841, and no cross-reactivity with other tested bacteria. The PNA probe-based FISH assay for detection of MTB had a sensitivity and specificity of 100%, respectively. The sensitivity and specificity of the NTM-specific PNA probe was 100%. The smear grades of the PNA FISH test were same as with those of the fluorescence AFB stain in 2+ or higher grade. Conclusion: Detection and differentiation based on PNA FISH is sensitive and accurate for detecting mycobacteria and for differentiating MTB from NTM in clinical sputum smears.

• Korean Journal of Remote Sensing
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• v.36 no.6_1
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• pp.1465-1483
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• 2020

Evapotranspiration is a concept that includes the evaporation from soil and the transpiration from the plant leaf. It is an essential factor for monitoring water balance, drought, crop growth, and climate change. Actual evapotranspiration (AET) corresponds to the consumption of water from the land surface and the necessary amount of water for the land surface. Because the AET is derived from multiplying the crop coefficient by the reference evapotranspiration (ET0), an accurate calculation of the ET0 is required for the AET. To date, many efforts have been made for gridded ET0 to provide multiple products now. This study presents a comparison between the ET0 products such as FAO56-PM, LDAPS, PKNU-NMSC, and MODIS to find out which one is more suitable for the local-scale hydrological and agricultural applications in Korea, where the heterogeneity of the land surface is critical. In the experiment for the period between 2016 and 2019, the daily and 8-day products were compared with the in-situ observations by KMA. The analyses according to the station, year, month, and time-series showed that the PKNU-NMSC product with a successful optimization for Korea was superior to the others, yielding stable accuracy irrespective of space and time. Also, this paper showed the intrinsic characteristics of the FAO56-PM, LDAPS, and MODIS ET0 products that could be informative for other researchers.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.9 no.2
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• pp.120-128
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• 1976

Two experiments were conducted to study the nature of protein degradation in fish muscle postmortem, first one with English sole (Paraphyrus vetulus) followed by another with rockfish (Sebastodes spp.). In the first one, proteolysis was measured by the increase of amino-N in gutted fish during storage in ice and in the homogenates prepared from fish of different ice storage during $20^{\circ}C-incubation$. In order to test the possible involvement of fish muscle a cathepsin, a portion of each homogenate sample was exposed to 0.5 Mrad of gamma radiation to destroy viable microorganisms prior to the incubation. Proteolysis was not detected until viable count reached a level above $10^7$ cells per gm fish flesh, corresponding to 31 days of ice storage. Even if fish flesh were mechanically disrupted by means of homogenization and subsequently incubated at $20^{\circ}C$, proteloysis attributable to muscle cathepsin was not detected. In the second with rockfish muscle aseptically prepared from freshly killed fish, the samples were inoculated with a proteolytic strain of fish spoilage Pseudomonad or irradiated at 0, 0.5 and 3.0 Mrad. The four samle groups were stored at $0-2^{\circ}C$ to compare the spoilage pattern of sterile and non-sterile muscle. In sterile muscle both total-N (extracted in 0.5M KCl) and amino-N $(soluble\;in\;70\%\;ethanol)$ declined slightly while the inoculated muscle showing increase in parallel with the increase of number of inoculated bacterium. The results indicate that proteolysis is a part of normal fish spoilage and the onset of proteolysis is delayed until viable count reaches its maximum level. Contribution of fish muscle cathepsin to protein degradation in white flesh fish muscle post-mortem is nil.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.33 no.6
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• pp.265-274
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• 2021

Outlier detection research in ocean data has traditionally been performed using statistical and distance-based machine learning algorithms. Recently, AI-based methods have received a lot of attention and so-called supervised learning methods that require classification information for data are mainly used. This supervised learning method requires a lot of time and costs because classification information (label) must be manually designated for all data required for learning. In this study, an autoencoder based on unsupervised learning was applied as an outlier detection to overcome this problem. For the experiment, two experiments were designed: one is univariate learning, in which only SST data was used among the observation data of Deokjeok Island and the other is multivariate learning, in which SST, air temperature, wind direction, wind speed, air pressure, and humidity were used. Period of data is 25 years from 1996 to 2020, and a pre-processing considering the characteristics of ocean data was applied to the data. An outlier detection of actual SST data was tried with a learned univariate and multivariate autoencoder. We tried to detect outliers in real SST data using trained univariate and multivariate autoencoders. To compare model performance, various outlier detection methods were applied to synthetic data with artificially inserted errors. As a result of quantitatively evaluating the performance of these methods, the multivariate/univariate accuracy was about 96%/91%, respectively, indicating that the multivariate autoencoder had better outlier detection performance. Outlier detection using an unsupervised learning-based autoencoder is expected to be used in various ways in that it can reduce subjective classification errors and cost and time required for data labeling.

• Korean Journal of Remote Sensing
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• v.39 no.5_3
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• pp.979-995
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• 2023

As wildfires are difficult to predict, real-time monitoring is crucial for a timely response. Geostationary satellite images are very useful for active fire detection because they can monitor a vast area with high temporal resolution (e.g., 2 min). Existing satellite-based active fire detection algorithms detect thermal outliers using threshold values based on the statistical analysis of brightness temperature. However, the difficulty in establishing suitable thresholds for such threshold-based methods hinders their ability to detect fires with low intensity and achieve generalized performance. In light of these challenges, machine learning has emerged as a potential-solution. Until now, relatively simple techniques such as random forest, Vanilla convolutional neural network (CNN), and U-net have been applied for active fire detection. Therefore, this study proposed an active fire detection algorithm using state-of-the-art (SOTA) deep learning techniques using data from the Advanced Himawari Imager and evaluated it over East Asia and Australia. The SOTA model was developed by applying EfficientNet and lion optimizer, and the results were compared with the model using the Vanilla CNN structure. EfficientNet outperformed CNN with F1-scores of 0.88 and 0.83 in East Asia and Australia, respectively. The performance was better after using weighted loss, equal sampling, and image augmentation techniques to fix data imbalance issues compared to before the techniques were used, resulting in F1-scores of 0.92 in East Asia and 0.84 in Australia. It is anticipated that timely responses facilitated by the SOTA deep learning-based approach for active fire detection will effectively mitigate the damage caused by wildfires.

• Journal of Chest Surgery
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• v.39 no.5 s.262
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• pp.359-365
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• 2006

Background: Arterial grafts have been used to achieve better long-term results for coronary revascularization. Bilateral internal thoracic artery (ITA) grafts have a better results, but it may be not used in some situations such as diabetes and chronic obstructive pulmonary disease (COPD). We evaluated the clinical and angiographic results of composite left internal thoracic artery-radial artery (LITA-RA) Y graft. Material and Method: Between April 2002 and September 2004, 119 patients were enrolled in composite Y graft for coronary bypass surgery. The mean age was $62.6{\pm}8.8$ years old and female was 34.5%. Preoperative cardiac risk factors were as follows: hypertension 43.7%, diabetes 33.6%, smoker 41.2%, and hyperlipidemia 22.7%, There were emergency operation (14), cardiogenic shock (6), left ventricle ejection fraction (LVEF) less than 40% (17), and 17 cases of left main disease. Coronary angiography was done in 35 patients before the hospital discharge. Result: The number of distal anastomoses was $3.1{\pm}0.91$ and three patients (2.52%) died during hospital stay. The off-pump coronary artery bypass (OPCAB) was applied to 79 patients (66.4%). The LITA was anastomosed to left anterior descending system except three cases which was to lateral wall. The radial Y grafts were anastomosed to diagonal branches (4), ramus intermedius (21), obtuse marginal branches (109), posterolateral branches (12), and posterior descending coronary artery (8). Postoperative coronary angiography in 35 patients showed excellent patency rates (LITA 100%, and RA 88.5%; 3 RA grafts which anastomosed to coronary arteries <70% stenosed showed string sign with competitive flow). Conclusion: The LITA-RA Y composite graft provided good early clinical and angiographic results in multivessel coronary revascularization. But it should be cautiously used in selected patients.