• Title/Summary/Keyword: characteristic ratio

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타액-알파아밀라제를 이용한 병원간호사의 직무스트레스 측정 (Measurement of Temporal Job Stress for Hospital Nurses using Salivary Alpha-Amylase)

  • 서상혁;곽승현;김형식;심희숙;강진규;민병찬
    • 산업경영시스템학회지
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    • 제39권2호
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    • pp.82-87
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    • 2016
  • As contemporary society has become more complicated, specialized, and segmented, people are experiencing more diverse types of stress. In particular, while several factors associated with job stress have been examined among nurses, who belong to a professional group, the existing research has made no quantitative assessments of stress that reflect temporal differences in individuals. Therefore, the aim of this study is to understand the effects of job stress on alpha-amylase with regard to the working hours of nurses, to assess the variations in jobs stress over time, and provide basic data to improve the quality of nursing services. Ninety nurses working in three shifts in general, emergency, and intensive care wards of a university hospital in D City participated in this study. Salivary alpha-amylase (SAA) was extracted and analyzed at two-hour intervals from 07:00 to 15:00 from nurses on the day shift and from 23:00 to 07:00 from those working the night shift. The SAA level was highest between 23:00 and 01:00 for nurses in general wards ($mean{\pm}S.D.\;39.00{\pm}14.88$) and between 11:00 and 13:00 for those in both intensive care units and emergency wards ($mean{\pm}S.D.\;67.50{\pm}62.93$ and $mean{\pm}S.D.\;39.67{\pm}35.96$, respectively). The characteristic variation in SAA was significant between 23:00 and 01:00 (p < 0.01) and for those in their fifties or older (p < 0.01). The activation ratio of alpha-amylase, a stress reactant, showed an increase when the sympathetic nervous system was activated by mental stress; in addition, job stress was manifested with the effect of awakening at different time segments and at different ages among the nurses. With the aim of raising the level of service based on the nurses maintaining their mental health, it is necessary to focus sharply on the time segment for critical control and to conduct repetitive studies to determine the divisions of eustress critical values as well as to expand the population.

국내 6개 하천에서 어도를 이용하는 어류상 (Fish Fauna Using Fishway on Six River in Korea)

  • 김동억;박제철;황종서;김동섭;이완옥;황길순
    • 생태와환경
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    • 제53권3호
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    • pp.255-264
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    • 2020
  • 국내 주요 6개 하천의 보에 설치된 어도에서 2~9년 이상 매월 연속적이고 장기적으로 어류의 어도이용을 조사하였다. 어류의 어도 이용은 어도 출구부에서 trap에 의한 직접 채집 방법으로 조사하였다. 6개 지점의 어도를 이용하는 어류와 하천에 서식하는 어류의 군집구조는 차이를 보였다. 어류의 어도 이용은 대략 2~7종이 전체의 80% 이상을 차지하였다. 이것은 어류의 어도 이용이 종적 생리특성에 따라 특화된 결과로 보이며, 단순히 어도에서의 흐름에 따라 어도 이용을 유인하는 경우는 많지 않은 것으로 보인다. 또한, 6개 지점에서 어도 이용 어류의 분포는 하천의 위치 및 보에 설치된 어도형식에 따라 달랐다. 이러한 차이는 해양 및 하구로부터 이동한 회유종의 분포 여부에 의한 결과로 보인다. 또한, 어도형식에 따른 수리특성의 차이도 영향을 주었다. 대체로 어도 내부에서 상대적으로 빠른 유속을 보이는 버티컬슬롯식 어도에서 어도이용 종수가 적고 유영능력이 좋은 어류의 비율이 높았다. 어도를 이용하는 주요 어류의 분석결과는 어도 계획과 이를 위한 주요 대상종의 선정에 활용될 수 있을 것이다.

반사법에 의한 재료표면의 적외선 방사율 측정에 관한 연구 (A Study on Infrared Emissivity Measurement of Material Surface by Reflection Method)

  • 강병철;김상명;최정윤;김군옥
    • 비파괴검사학회지
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    • 제30권5호
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    • pp.484-488
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    • 2010
  • 적외선 열화상 카메라를 이용하여 온도를 측정할 때는 측정 대상물질의 적외선 방사율이 중요하다. 적외선 방사율은 흑체와 물체의 적외선 방사 강도비로 구할 수 있으나, 상온에서는 배경의 영향으로 인해 측정하는 것은 용이하지 않다. 따라서 FT-IR를 이용하여 반사법에 의해 강판 및 강판에 코팅된 도료의 적외선 반사율을 측정하고 적외선 방사용을 구하였다. 연마된 강판은 0.06 ~ 0.10의 적외선 방사율을 나타내고 있으며, 비연마 강판은 표면조도에 의해 광학적 특성의 변화로 인한 적외선 방사율 측정에 오차가 발생하였다. 강판에 코팅된 투명도료는 적외선 흡수로 인해 방사율은 0.50 ~ 0.84 정도로 높아졌으며, 도료의 적외선 흡수 밴드에 의해 파장에 따라 방사율도 변한다. 이 실험을 통해 재료표변의 재질, 두께, 조도 등 표면 상태에 따라 적외선의 광학적 특성이 변하는 것을 확인할 수 있었다. 또한 반사법은 금속 및 금속에 코팅된 도료의 적외선 방사율 측정에 유용한 것으로 판단되며, 측정된 적외선 방사율을 적외선 열화상에 제공함으로서 측정온도의 오차를 줄일 수 있다.

FDG-PET/CT as prognostic factor and surveillance tool for postoperative radiation recurrence in locally advanced head and neck cancer

  • Kim, Gi-Won;Kim, Yeon-Sil;Han, Eun-Ji;Yoo, Ie-Ryung;Song, Jin-Ho;Lee, Sang-Nam;Lee, Jong-Hoon;Choi, Byung-Oak;Jang, Hong-Seok;Yoon, Sei-Chul
    • Radiation Oncology Journal
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    • 제29권4호
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    • pp.243-251
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    • 2011
  • Purpose: To evaluate the prognostic value of metabolic tumor volume (MTV) and maximum standardized uptake value (SUVmax) on initial positron emission tomography-computed tomography (PET-CT) and investigate the clinical value of SUVmax for early detection of locoregional recurrent disease after postoperative radiotherapy in patients with locally advanced head and neck squamous cell carcinoma (HNSCC). Materials and Methods: A total of 100 patients with locally advanced HNSCC received primary tumor excision and neck dissection followed by adjuvant radiotherapy with or without chemotherapy. The MTV and SUVmax were measured from primary sites and neck nodes. The prognostic value of MTV and SUVmax were assessed using initial staging PET/CT (study A). Follow-up PET/CT scan available after postoperative concurrent chemoradiotherapy or radiotherapy were evaluated for the SUVmax value and correlated with locoregional recurrence (study B). A receiver operating characteristic (ROC) curve analysis was used to define a threshold value of SUVmax with the highest accuracy for recurrent disease assessment. Results: High MTV (>41 mL) is negative prognostic factor for disease free survival (p = 0.041). Postradiation SUVmax was significantly correlated with locoregional recurrence (hazard ratio, 1.812; 95% confidence interval, 1.361 to 2.413; P < 0.001). A cutoff value of 5.38 from follow-up PET/CT was identified as having maximal accuracy for detecting locoregional recurrence by ROC analysis. Conclusion: MTV at staging work-up was significantly associated with disease free survival. The SUVmax value from follow-up PET/CT showed high diagnostic accuracy for the detection of locoregional recurrence in postoperatively irradiated HNSCC.

Extracorporeal Cardiopulmonary Resuscitation: Predictors of Survival

  • Kim, Dong Hee;Kim, Joon Bum;Jung, Sung-Ho;Choo, Suk Jung;Chung, Cheol Hyun;Lee, Jae Won
    • Journal of Chest Surgery
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    • 제49권4호
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    • pp.273-279
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    • 2016
  • Background: The use of extracorporeal life support (ECLS) in the setting of cardiopulmonary resuscitation (CPR) has shown improved outcomes compared with conventional CPR. The aim of this study was to determine factors predictive of survival in extracorporeal CPR (E-CPR). Methods: Consecutive 85 adult patients (median age, 59 years; range, 18 to 85 years; 56 males) who underwent E-CPR from May 2005 to December 2012 were evaluated. Results: Causes of arrest were cardiogenic in 62 patients (72.9%), septic in 18 patients (21.2%), and hypovolemic in 3 patients (3.5%), while the etiology was not specified in 2 patients (2.4%). The survival rate in patients with septic etiology was significantly poorer compared with those with another etiology (0% vs. 24.6%, p=0.008). Septic etiology (hazard ratio [HR], 2.84; 95% confidence interval [CI], 1.49 to 5.44; p=0.002) and the interval between arrest and ECLS initiation (HR, 1.05 by 10 minutes increment; 95% CI, 1.02 to 1.09; p=0.005) were independent risk factors for mortality. When the predictive value of the E-CPR timing for in-hospital mortality was assessed using the receiver operating characteristic curve method, the greatest accuracy was obtained at a cutoff of 60.5 minutes (area under the curve, 0.67; 95% CI, 0.54 to 0.80; p=0.032) with 47.8% sensitivity and 88.9% specificity. The survival rate was significantly different according to the cutoff of 60.5 minutes (p=0.001). Conclusion: These results indicate that efforts should be made to minimize the time between arrest and ECLS application, optimally within 60 minutes. In addition, E-CPR in patients with septic etiology showed grave outcomes, suggesting it to be of questionable benefit in these patients.

Predicting Mortality in Patients with Tuberculous Destroyed Lung Receiving Mechanical Ventilation

  • Kim, Won-Young;Kim, Mi-Hyun;Jo, Eun-Jung;Eom, Jung Seop;Mok, Jeongha;Kim, Ki Uk;Park, Hye-Kyung;Lee, Min Ki;Lee, Kwangha
    • 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.

Envelope Tracking 도허티 전력 증폭기의 Gate-Bias Control Technique (Gate-Bias Control Technique for Envelope Tracking Doherty Power Amplifier)

  • 문정환;김장헌;김일두;김정준;김범만
    • 한국전자파학회논문지
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    • 제19권8호
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    • pp.807-813
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    • 2008
  • 본 논문에서는 선형성 증가를 위해 도허티 증폭기의 게이트 바이어스를 조정하는 방식을 제시하였다. 도허티 증폭기의 선형성 향상은 출력 결합 지점에서의 고조파 상쇄를 통해 이루어진다. 하지만 고조파의 상쇄는 그 크기와 위상이 출력 지점에서 같은 크기와 서로 다른 위상을 가지고 있어야 이루어질 수 있는데, 넓은 출력 전력 범위에서 위와 같은 조건을 만족시키는 것은 쉽지 않다. 선형성 증가를 위해 도허티 증폭기의 캐리어 증폭기와 피킹 증폭기의 선형성 특성을 입력 전력과 각 증폭기의 게이트 바이어스를 조정함으로써 살펴보았다. 살펴본 특성을 기본으로 하여 고조파 상쇄 전력 범위를 증가시키기 위해, 각 전력 레벨에 맞는 게이트 바이어스를 증폭기에 인가하였다. 게이트 바이어스 제어를 통한 선형성 향상을 알아보기 위해, 2.345 GHz에서 Eudyna사의 10-W PEP GaN HEMT EGN010MK 소자를 이용하여 도허티 전력 증폭기를 설계하였고, $P_{1dB}$로부터 10 dB back-off 지점인 33 dBm에서 고효율과 고선형성을 위해 최적화 되었다. WCDMA 1-FA 신호에 대해 제안된 게이트 바이어스 컨트롤 된 도허티 증폭기는 2.8 dB의 선형성 개선을 확인할 수 있었으며, 26 %의 PAE를 확인할 수 있었다. 또한, 802.16-2004 신호에 대해 RCE가 2 dB 증가됨을 확인할 수 있었다.

Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients

  • Chen, Jian;Chen, Jie;Ding, Hong-Yan;Pan, Qin-Shi;Hong, Wan-Dong;Xu, Gang;Yu, Fang-You;Wang, Yu-Min
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권12호
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    • pp.5095-5099
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    • 2015
  • Background: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model analysis, retrospective analysis, and so on, but the results are inconsistent. Materials and Methods: A total of 696 patients with lung cancer were enrolled. The factors were compared employing Student's t-test or the Mann-Whitney test or the Chi-square test and variables that were significantly related to the presence of deep fungal infection selected as candidates for input into the final artificial neural network analysis (ANN) model. The receiver operating characteristic (ROC) and area under curve (AUC) were used to evaluate the performance of the artificial neural network (ANN) model and logistic regression (LR) model. Results: The prevalence of deep fungal infection from lung cancer in this entire study population was 32.04%(223/696), deep fungal infections occur in sputum specimens 44.05%(200/454). The ratio of candida albicans was 86.99% (194/223) in the total fungi. It was demonstrated that older (${\geq}65$ years), use of antibiotics, low serum albumin concentrations (${\leq}37.18g/L$), radiotherapy, surgery, low hemoglobin hyperlipidemia (${\leq}93.67g/L$), long time of hospitalization (${\geq}14$days) were apt to deep fungal infection and the ANN model consisted of the seven factors. The AUC of ANN model($0.829{\pm}0.019$)was higher than that of LR model ($0.756{\pm}0.021$). Conclusions: The artificial neural network model with variables consisting of age, use of antibiotics, serum albumin concentrations, received radiotherapy, received surgery, hemoglobin, time of hospitalization should be useful for predicting the deep fungal infection in lung cancer.

Effects of three different diets on the fatty acid profile and sensory properties of fresh Pecorino cheese "Primo Sale"

  • Fusaro, Isa;Giammarco, Melania;Vaintrub, Michael Odintsov;Chincarini, Matteo;Manetta, Anna Chiara;Mammi, Ludovica M.E.;Palmonari, Alberto;Formigoni, Andrea;Vignola, Giorgio
    • Asian-Australasian Journal of Animal Sciences
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    • 제33권12호
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    • pp.1991-1998
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    • 2020
  • Objective: This study aimed to evaluate and compare the effects of three different diets on the fatty acids (FA) profile and sensory properties of a characteristic Italian fresh cheese: Pecorino "Primo Sale" (PS). Methods: Fifty-four sheep were divided into three feeding groups: total mixed ration (TMR) enriched with extruded linseed (TL), control diet with TMR without any integration (TC), and pasture (P). During cheese production, six cheeses per experimental group were produced each week, stored for 10 days at 4℃, and then analyzed for chemical composition, FA profile, and sensory properties. Results: Saturated fatty acids (SFA) were significantly higher in PS from group TC (82.11%) than in cheese from other two groups (P 75.48% and TL 66.83%). TL and P groups presented higher values of polyunsaturated fatty acids, 4.35 and 3.65%, respectively, than that of TC group (2.31%). The lowest SFA/unsaturated fatty acid ratio was found in TL and P groups, while the highest was found in the TC group. Vaccenic acid and conjugated linoleic acid (CLA) were higher in group P (p<0.05) than in groups L and TC. Sensory properties of cheese from group P received the highest scores for odor intensity and friability, while control group had a greater chewing consistency. Overall, all cheeses received good scores for acceptability. Conclusion: In conclusion, this study showed how the integration of extruded linseed improved the FA profile of fresh pecorino cheese PS preserving its sensory properties. Levels of CLA in the PS group achieved using this approach was not higher than that in a grazing diet. Cheeses from groups P and L contained a higher value of FA, with nutritional implications for humans, when compared with un-supplemented diet. Linseed may be a good feeding strategy when pasture is not available.

Improving the Accuracy of Early Diagnosis of Thyroid Nodule Type Based on the SCAD Method

  • Shahraki, Hadi Raeisi;Pourahmad, Saeedeh;Paydar, Shahram;Azad, Mohsen
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권4호
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    • pp.1861-1864
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    • 2016
  • Although early diagnosis of thyroid nodule type is very important, the diagnostic accuracy of standard tests is a challenging issue. We here aimed to find an optimal combination of factors to improve diagnostic accuracy for distinguishing malignant from benign thyroid nodules before surgery. In a prospective study from 2008 to 2012, 345 patients referred for thyroidectomy were enrolled. The sample size was split into a training set and testing set as a ratio of 7:3. The former was used for estimation and variable selection and obtaining a linear combination of factors. We utilized smoothly clipped absolute deviation (SCAD) logistic regression to achieve the sparse optimal combination of factors. To evaluate the performance of the estimated model in the testing set, a receiver operating characteristic (ROC) curve was utilized. The mean age of the examined patients (66 male and 279 female) was $40.9{\pm}13.4years$ (range 15- 90 years). Some 54.8% of the patients (24.3% male and 75.7% female) had benign and 45.2% (14% male and 86% female) malignant thyroid nodules. In addition to maximum diameters of nodules and lobes, their volumes were considered as related factors for malignancy prediction (a total of 16 factors). However, the SCAD method estimated the coefficients of 8 factors to be zero and eliminated them from the model. Hence a sparse model which combined the effects of 8 factors to distinguish malignant from benign thyroid nodules was generated. An optimal cut off point of the ROC curve for our estimated model was obtained (p=0.44) and the area under the curve (AUC) was equal to 77% (95% CI: 68%-85%). Sensitivity, specificity, positive predictive value and negative predictive values for this model were 70%, 72%, 71% and 76%, respectively. An increase of 10 percent and a greater accuracy rate in early diagnosis of thyroid nodule type by statistical methods (SCAD and ANN methods) compared with the results of FNA testing revealed that the statistical modeling methods are helpful in disease diagnosis. In addition, the factor ranking offered by these methods is valuable in the clinical context.