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Solvent-localized in-situ NMR Monitoring by Intermolecular Single-quantum Coherence Study
차진욱,박성혁 한국자기공명학회 2020 Journal of the Korean Magnetic Resonance Society Vol.24 No.4
A new NMR method to monitor solvent-localized NMR signals in the two-phase liquid system is suggested. This method based on intermolecular single-quantum coherence (iSQC). Here, we ex-ploited the feature of the local action of distant dipolar field (DDF) effect in order to filter out specific NMR signals dissolved in different sol-vents. This solvent specific iSQC spectroscopy was carried out on a model two-phase liquid sys-tem (D-glucose in water/palmitic acid in chloro-form), and showed solvent-localized NMR signals. We believe our approaches might be useful in metabolic analysis such as two-phase liquid ex-traction scheme for labile chemical species.
미세먼지 수치 예측 모델 구현을 위한 데이터마이닝 알고리즘 개발
차진욱,김장영,Cha, Jinwook,Kim, Jangyoung 한국정보통신학회 2018 한국정보통신학회논문지 Vol.22 No.4
최근 미세먼지 수치가 급격히 상승함에 따라 이에 대한 관심도가 굉장히 높아지고 있다. 미세먼지의 노출은 호흡기 및 심혈관계 질환의 발생과 관련이 있으며, 사망률도 증가시키는 것으로 보고되고 있다. 뿐만 아니라, 산업현장에서도 미세먼지에 대한 피해가 속출한다. 그러나 현대인의 삶에서 미세먼지 노출은 불가피하다. 그러므로 미세먼지를 예측하여, 이에 대한 노출을 최소화하는 것이 건강 및 산업 피해축소에 가장 효율적인 방법일 것이다. 기존의 미세먼지 예측 모델은 농도 수치가 아닌 미세먼지의 농도 범위에 따라 좋음, 보통, 나쁨, 매우 나쁨으로만 나누어 예보하고 있다. 본 논문은 기존의 실제 기상 및 대기 질 데이터를 이용, 기계학습 알고리즘인 Artificial Neural Network (ANN)알고리즘과 K-Nearest Neighbor (K-NN)알고리즘을 상호 응용하여 미세먼지 수치 (PM 10)를 예측하고자 하였다. Recently, as the fine dust level has risen rapidly, there is a great interest. Exposure to fine dust is associated with the development of respiratory and cardiovascular diseases and has been reported to increase death rate. In addition, there exist damage to fine dusts continues at industrial sites. However, exposure to fine dust is inevitable in modern life. Therefore, predicting and minimizing exposure to fine dust is the most efficient way to reduce health and industrial damages. Existing fine dust prediction model is estimated as good, normal, poor, and very bad, depending on the concentration range of the fine dust rather than the concentration value. In this paper, we study and implement to predict the PM10 level by applying the Artificial neural network algorithm and the K-Nearest Neighbor algorithm, which are machine learning algorithms, using the actual weather and air quality data.
SPSS를 이용한 대기질과 기상인자와의 미세먼지 상관관계 분석
차진욱,김장영,Cha, Jinwook,Kim, Jangyoung 한국정보통신학회 2018 한국정보통신학회논문지 Vol.22 No.5
현재까지 미세먼지에 대한 연구는 예측, 분석, 측정 등으로 나눠지는데, 주로 대기환경 분야에서 이루어져 왔다. 미세먼지는 대기질 인자와 기상인자 그리고 배출 등 여러가지 원인으로 인해 발생한다. 각 요소들이 미세먼지에 얼마나 많은 영향을 끼치는지 상관관계를 분석하는 것이 우선이라고 판단하였고, 이를 실험하였다. 이 상관 분석에는 기상청과 에어코리아를 통해 확보한 대기질 인자와 기상인자 데이터를 이용, IBM사의 SPSS라는 Tool을 사용하여 이루어졌다. 그 결과 각 대기질 인자와 기상인자들이 미세먼지 수치에 미치는 영향정도와 상관관계를 좀 더 명확하게 알 수 있었다. 본 논문에서는 미세먼지 수치와 영향요소 및 상관관계의 정확한 분석을 위해 상관분석 및 피어슨 상관계수로 결과를 나타낸다. Until now, the study of fine dust has been divided into prediction, analysis and measurement, mainly in the field of atmospheric environment. Fine dust is caused by various causes such as atmospheric quality factor, meteorological factor and emission. It was determined that it was a priority to analyze the correlation of how much each element affects fine dust, and it was experimented. This correlation analysis was done using IBM SPSS tool using air quality factor and meteorological factor data obtained from Korea Meteorological Administration and Air Korea. As a result, the influence of air quality factors and meteorological factors on the fine dust level was more clearly understood. In this paper, we present experimental results as correlation analysis and pearson coefficient for more precise analysis between PM10 values and affected factors.
임상연구 : Propofol 마취 유도 후 후두경을 이용한 기관내 삽관시 나타나는 혈역학반응을 둔화하기 위한 Remifentanil의 적정용량
차진욱 ( Jin Wook Cha ),곽상현 ( Sang Hyun Kwak ),김석재 ( Seok Jai Kim ),최정일 ( Jeong Il Choi ),김창모 ( Chang Mo Kim ),정성태 ( Sung Tae Jeong ),유경연 ( Kyung Yeon Yoo ) 대한마취과학회 2006 Korean Journal of Anesthesiology Vol.51 No.3
Background: A laryngoscopy and endotracheal intubation cause an increase in the blood pressure and heart rate. Remifentanil is an opioid that is often used to reduce the hemodynamic responses after tracheal intubation. This study evaluated the effect of three bolus doses of remifentanil on the hemodynamic responses to a laryngoscopy and tracheal intubation. Methods: Eighty patients, aged 35-65 years, with an ASA physical status of I and II were randomly divided into four groups containing 20 patients each. Anesthesia was induced with propofol 2 mg/kg followed 30 s later by saline (control) or remifentanil 0.5 (R0.5), 1 (R1) or 2 (R2) μg/kg given as a bolus over a 30 s period. A laryngoscopy and tracheal intubation were performed 90 s later (corresponding to 3 min after induction), and anesthesia was maintained using 2% sevoflurane and 50% nitrous oxide in oxygen. Rocuronium 1 mg/kg was given as a neuromuscular block. The systolic arterial blood pressure (SAP) and heart rate (HR) were recorded until 5 min after intubation. Results: In all groups, the SAP decreased after inducing anesthesia and then increased after intubation in all groups (P < 0.05), but the maximum increases (46, 15, and 9 mmHg in the R0.5, R1, and R2 groups, respectively) after intubation were lower in the remifentanil groups than that of the control group (73 mmHg) (P < 0.05). The HR decreased in the remifentanil groups while it remained stable in the controls after the induction of anesthesia. However, it increased after intubation in all groups. The mean maximum HR (83, 71, and 69 bpm in the R0.5, R1 and R2 groups, respectively) was significantly lower in the remifentanil groups than that in the controls (98 bpm) (P < 0.05). All remifentanil doses significantly attenuated the pressor and tachycardiac responses (P < 0.05). Conclusions: All remifentanil doses were effective in controlling the pressor and tachycardiac response to endotracheal intubation in patients in whom anesthesia was induced with propofol. However, the use of the 1 and 2μg/kg dose was associated with a decrease in the SAP to less than 85 mm Hg in 10 patients (50%) each. Therefore, 0.5μg/kg appears to be the optimal dose to attenuate the cardiovascular responses to endotracheal intubation in patients. (Korean J Anesthesiol 2006; 51: 292~6)