• 한국수산과학회지
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• 제29권5호
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• pp.567-577
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• 1996

본 연구는 한국 연근해 갈치의 자원생태학적 특성치인 성장계수와 생잔율, 순간자연 및 어획사망계수, 어획개시연령 및 연령별 성장률을 추정하는 것이다. 갈치의 성장을 나타내는데는 세가지의 성장모델에 적합시켰으며, 이 중 차후의 자원평가연구를 목적으로 von Bertalanffy 성장식을 채택하였다. von Bertalanffy 성장계수는 EXCEL의 Solver를 사용하여 비선형회귀 방법에 의하여 다음과 같이 추정되었다. $L_\infty=46.01cm,\;K=0.3868,\;t_0=-0.3220$. 갈치의 연간생잔율 (S)은 0.277 (분산=0.00035)로 추정되었으며 순간자연사망 계수 (M)는 0.4411년으로 추정되었다. 근년의 순간어획사망계수 (F)는 0.843/년으로서 자연사망보다 어획에 의한 영향이 약 2배나 되고 있음을 암시하였다. 어획개시연령 $(t_c)$은 0.787세로 $50\%$ 성숙연령의다 훨씬 어린 연령이었다 마지막으로 갈치의 연령별 성장률이 추정되었다.

• 한국패류학회지
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• 제26권4호
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• pp.291-296
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• 2010

본 연구에서는 제주도산 소라의 자원생태학적 특성치인 생잔율, 순간자연사망계수 및 순간어획사망계수, 어획개시연령을 추정하였으며, 직접 조사를 통한 자원량을 확인하였다. 생태학적 특성치 추정을 위한 표본은 2009년 9월부터 2010년 5월까지의 자료를 활용하였다. 순간전사망계수는 2.2062 /year로 추정되었으며, 순간자연사망계수는 0.8743/year로 추정되었다. 어구가입연령은 2.636 세로 추정되었다. 소라 자원을 가입당어획량 모델에 적용시킨 결과, 현재의 순간어획사망계수, 어획개시연령에서의 가입당생산량은 7.92 g으로 추정되었다. 따라서 현재의 순간어획사망계수를 그대로 유지한다면 어획개시연령을 2세에 맞추어야 하고, 현재의 어획개시연령을 유지한다면 순간어획사망계수를 0.2보다 낮은 수준으로 낮추어야 한다. $F_{0.1}$의 경우, 1세에서 2.58 g으로 가장 높은 가입당생산량을 나타내고 있다. 또한 가입당산란자원량 모델을 이용하여 생물학적 관리기준인 $F_{40%}$의 값을 현재의 어획상태를 고려하여 추정하였다. $F_{max}$, $F_{0.1}$, $F_{35%}$, 및 $F_{40%}$ 에서의 가입당생산량은 10.44 g, 1.87 g, 6.53 g and 7.46 g으로 추정되었다.

• Tuberculosis and Respiratory Diseases
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• 제81권3호
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• pp.247-255
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• 2018

Background: Patients with acute respiratory failure secondary to tuberculous destroyed lung (TDL) have a poor prognosis. The aim of the present retrospective study was to develop a mortality prediction model for TDL patients who require mechanical ventilation. Methods: Data from consecutive TDL patients who had received mechanical ventilation at a single university-affiliated tertiary care hospital in Korea were reviewed. Binary logistic regression was used to identify factors predicting intensive care unit (ICU) mortality. A TDL on mechanical Ventilation (TDL-Vent) score was calculated by assigning points to variables according to ${\beta}$ coefficient values. Results: Data from 125 patients were reviewed. A total of 36 patients (29%) died during ICU admission. On the basis of multivariate analysis, the following factors were included in the TDL-Vent score: age ${\geq}65$ years, vasopressor use, and arterial partial pressure of oxygen/fraction of inspired oxygen ratio <180. In a second regression model, a modified score was then calculated by adding brain natriuretic peptide. For TDL-Vent scores 0 to 3, the 60-day mortality rates were 11%, 27%, 30%, and 77%, respectively (p<0.001). For modified TDL-Vent scores 0 to ${\geq}3$, the 60-day mortality rates were 0%, 21%, 33%, and 57%, respectively (p=0.001). For both the TDL-Vent score and the modified TDL-Vent score, the areas under the receiver operating characteristic curve were larger than that of other illness severity scores. Conclusion: The TDL-Vent model identifies TDL patients on mechanical ventilation with a high risk of mortality. Prospective validation studies in larger cohorts are now warranted.

• 생태와환경
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• 제43권1호
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• pp.82-90
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• 2010

본 연구는 섬진강 중 상류 수계의 꺽지자원에 대해서 자원평가의 기초로 사용되는 자원생태학적 특성치들을 분석하고자 하였다. 연령사정을 위한 연령형질로서 이석(otolith)을 사용하였으며, 연령사정 결과, 최고연령은 5세로 나타났다. 체장(BL)과 체중(BW)의 관계식은 $BW=0.0195BL6{3.08}$($R^2=0.966$) 이었으며, 윤문이 형성되었을 때의 체장을 역계산하기 위한 체장(BL)과 이석경(R)과의 관계식은 BL=3.882R+1.66($R^2=0.944$)로 나타났다. 비선형회귀방법을 이용한 von Bertalanffy 성장모델의 매개변수는 이론적 최대체장($L_{\infty}$)이 19.68 cm, 이론적 최대체중($L_{\infty}$)이 188.64 g, 성장계수(K)가 0.17, 체장이 0 일 때의 연령이 -1.46세 등으로 각각 추정되었다. 이를 통해 추정된 성장식은 Lt=19.68(1-$e^{-0.17(t+1.46)}$)($R^2=0.997$)로 나타났다. 생존율을 추정하는 6가지 방법 중 평방오차합(Sum of squared error: SSQ) 이 가장 작은 어획물곡선법을 이용하여 생존율을 추정하였으며, 추정된 생존율(S)는 $0.666\;year^{-1}$으로 확인되었다. 순간자연사망계수(M)와 순간전사망계수(Z)는 $0.346\;year^{-1}$과 $0.407\;year^{-1}$로 각각 추정 되었으며, 이를 통해 확인된 순간어획사망계수(F)는 $0.061\;year^{-1}$로 확인되었다.

• 수산해양기술연구
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• 제51권3호
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• pp.448-453
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• 2015

This study was performed to estimate biomass and to provide management plan through population ecological characteristics, including survival rate, instantaneous coefficient of natural and fishing mortalities, and age at first capture of Flathead grey mullet, Mugil cephalus, in the coastal waters of Yeosu. Survival rate (S) of the flathead grey mullet was 3.671. The instantaneous coefficients of natural mortality (M) and fishing mortality (F) was estimated to be 0.325/year, 0.962/year for flathead grey mullet. Also fist capure age of flathead grey mullet was 3.61year. The current biomass of the flathead grey mullet in the study area was estimated to be 19.6 M/T and $F_{0.1}$ and $F_{40%}$ were estimated 0.340/year, 0.225/year. For the stock assessment result, flathead grey mullet was not overfished but overfishing.

• 수산해양기술연구
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• 제44권2호
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• pp.129-140
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• 2008

This study was performed to estimate biomass and to provide management plan through population ecological characteristics, including growth parameters, survival rate, instantaneous coefficient of natural and fishing mortalities, and age at first capture of hen clam, Mactra chinensis, in the Dong-li self-regulatory community of Busan. The von Bertalanffy growth parameters estimated from a non-linear regression were $SH_{\infty}=86.24mm$, K=0.12/year, and = -1.37year. Survival rate(s) of the hen clam was 0.515. The instantaneous coefficients of natural mortality(M) was estimated to be 0.232/year and fishing mortality(F) 0.432/year for hen clam. The current biomass of the hen clam in the study area was estimated to be 713mt and the acceptable biological catch(ABC) was estimated under various harvest strategies based on $F_{0.1}$ and $F_{40%}$.

• 한국패류학회지
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• 제28권2호
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• pp.109-116
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• 2012

In order to understand the effect of introduction of oyster rack culture on natural short-necked clam, Ruditapes philippinarum, stock, we investigated the status of natural clam stock prior to introduction of oyster rack culture at Yeongheung Coast of Wando Island. The growth equation of the clam was estimated as: $L_t=61.46{\cdot}(1-e^{-0.172(t+0.155)})$ from ring radius composition of shell. Instantaneous coefficient of total mortality and natural mortality were calculated as: 2.4087/year and 0.478/year, respectively. The age at first capture was estimated to be 2.55 year. The total biomass was estimated to 3.23 ton in the bed (0.8 ha). Applied by these parameters, the annual recruit biomass and the current yield per recruit (Y/R) was corresponded to $114.7individuals/m^2$ and $92.0g/m^2$, respectively. Maximum sustainable yield (MSY) was estimated 0.77 ton/year which was close to annual catches, 0.74 ton/year, in the area.

• 보건행정학회지
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• 제19권4호
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• pp.18-32
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• 2009

The goal of this study was to predict the health outcomes of lung cancer surgery based on the Charlson comorbidity index (CCI). An attempt was likewise made to assess the prognostic value of such data for predicting mortality, survival rate, and length of hospital stay. A medical-record review of 389 patients with non-small-cell lung cancer was performed. To evaluate the agreement, the kappa coefficient was tested. Logistic-regression analysis was also conducted within two years after the surgery to determine the association of CCI with death. Survival and multiple-regression analyses were used to evaluate the relationship between CCI and the hospital care outcomes within two-year survival after lung cancer surgery and the length of hospital stay. The results of the study showed that CCI is a valid prognostic indicator of two-year mortality and length of hospital stay, and that it shows the health outcomes, such as death, survival rate, and length of hospital stay, after the surgery, thus enabling the development and application of the methodology using a systematic and objective scale for the results.

• The Korean Journal of Ecology
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• 제21권1호
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• pp.27-33
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• 1998

Arisaema robustum, which has the ability to change sex, was studied in a temperate broadleaf forest of Sanseong-ri, Joongbu-myeon, Gwangju-gun, Kyonggi Province, Korea. \ulcornerThe study, carried out from 1993 to 1997, focused on population dynamics energy budget among organs, size distribution, mortality, the relationships between sex and size, seed production and germination rate. In terms of energy budget among the organs, the ratio of aboveground to belowground biomass was 36.6 : 63.4 in non-female plants, and 81.4 : 18.6 in female plants. Also, in female plants, the ration of leaf to sexual organ biomass was 39.5 : 41.9. Therefore, the belowground ratio of female plants was lower than that of non-female plants. Plants were classified into 8 levels relative to the amount of leaf area by $100cm^2$. The rates of the smallest and the largest classes were 49% and 1%, respectively, and population distribution by size was relatively stable. The mortality averaged 13.1% per year and decreased in inverse proportion to leaf size (6.6% in the smallest and 0.0% in the largest size classes). Leaf areas were $64.1{\pm}48.5cm^2$ in non-flowering plants, $232.1{\pm}123.9cm^2$ in males and $444.8{\pm}153.9cm^2$ in females. The increase rates of leaf area per year varied from 1.9% in plants changing from female tomale, to 152.4% in plants changing from non-flowering to female. But plants which remained female for 2 years showed a decrease of 34.7%. >From this result, it is thought that the female plants invest more energy to reproduction than to vegetative organs. The correlation coefficient (CC) value between plant size and the number of seeds produced (0.55) was larger than the CC value between plant size and total seed weight (0.73). That is, the larger the plant size, the heavier the seed produced. The germination rate increased along with seed weight, and it was 95% in plants which were over 60mg fresh weight/seed.

• 동서간호학연구지
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• 제28권1호
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• pp.10-20
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• 2022

Purpose: We compared the Korean Triage and Acuity Scale (KTAS), Injury Severity Score (ISS), and Revised Trauma Score (RTS) determined the validity of KTAS for classifying trauma patients. Methods: A retrospective chart review of 10,865 trauma patients (aged ≥15 years) who visited a single regional trauma and emergency medical center from January 1, 2016, to December 31, 2020, was conducted. Data were collected from the Korean Trauma Data Bank. Based on KTAS classification, the rates of intensive care unit admission, surgery and intervention, transfusion, emergency room (ER) and hospital mortality, and ER stay time were investigated. Data were analyzed using Chi-square test, Pearson's correlation coefficient, receiver operating characteristic curve, and area under the ROC curve. Results: In the KTAS, severe trauma patients (ISS ≥16) were classified as Level 1 (79.6%), 2 (44.8%), 3 (15.5%), 4 (4.0%) and 5 (7.6%). The following were the predictive powers of KTAS, ISS, and RTS for different parameters: surgery and intervention rate, KTAS (.71), ISS (.70), and RTS (.63); transfusion rate within 4h, KTAS (.82), ISS (.82), and RTS (.74); ER stay time within 90 min, KTAS (.72), ISS (.62), and RTS (.56); and ER mortality, KTAS (.84), ISS (.72), and RTS (.88). These findings were statistically significant (p<.001). The sensitivity and specificity of KTAS for trauma patients were .88 (.87~.90), and .38 (.37~.39), respectively. Conclusion: KTAS is a useful classification system that can predict the clinical outcomes of patients with trauma, and effectively triage acutely ill trauma patients, thus provide appropriate treatment.