• Journal of Korean Academy of Nursing Administration
• /
• v.5 no.1
• /
• pp.77-86
• /
• 1999

The purpose of this study is to look into nurse's legal duty and to analyze influencing factors, by reading through precedents in nursing-related malpractice cases. 157 clinic nurses and 40 head nurses who were working in 3 university hospitals in the area of Seoul and KyongKi province were surveyed with pre-set questionnaires which were based on 20 cases and to compare precedents with nurses' attitudes. Independent variables were demographic characteristics, job characteristics, experience and education, and personal characteristics. Dependent variables were the extents of understanding in their duty. To analyze the extent of duty understanding t-text. ANOVA, and multiple regression were performed according to the characteristics of each study subject. Main findings are as follows; 1. $X^2$ test was performed for each hospitals and job category. The existence of religion and job-related advisers were significantly different according to hospitals and job categories. The existences of the orientation for nursing, education, and meeting were significantly different according to hospitals. 2. The extent of duty understanding according to the subject characteristics was assessed by means of median. Each case was given the median. 12 cases(46%)out of 26 cases demonstrated the median of more than 6 showing high extent of understanding. 3. When $X^2$ test was performed. the extent of duty understanding was significantly different in the areas of marriage status. the existence of meetings. and the experience of having dispute. When multiple regression(stepwise method) was performed, above variables were not statistically significant. 4.As result of comparative analysis on precedents and nurse's attitudes. it is 4 cases that nurse's attitudes is more active than precedents and it is 9 cases that nurse's attitudes is more passive than precedents and it is 4 cases that nurse's attitudes is parallel with precedents. This study does not present statistical model which can integrate all the cases. The significance of this study is in that it generalized and assessed the nurses' understanding of duty based on nursing -care which was legally disputed and compared nurse's attitude with precedents.

• Journal of Korean Society of Transportation
• /
• v.28 no.5
• /
• pp.43-54
• /
• 2010

In order to improve the existing evaluation system of bus services and gain more reasonable analysis outputs, the authors evaluate the efficiency of 113 arterial bus routes in Seoul in 2009 using a modified BCC model considering not only desirable outputs but also undesirable outputs. Each Decision Making Unit (DMU) is assumed to use inputs such as possession costs, operating costs, the ratios of median bus stops overlapped route lengths to produce estimates of desirable outputs (the number of passengers and service satisfaction score) and undesirable outputs (CO2 emissions). According to the analysis, the modified BCC model considering both desirable outputs and undesirable outputs shows more appropriate results. DMUs would be more efficient on average to reduce nearly 10% of the 3 inputs (possession costs, operating costs, and overlapped route lengths) and increase by about 160% the ratios of median bus stops. Also, a Tobit regression analysis is conducted to identify the most effective variables for maximum efficiency and discover that the variable of possession costs and the ratios of median bus stops are statistically significant.

• Journal of Trauma and Injury
• /
• v.35 no.4
• /
• pp.268-276
• /
• 2022

Purpose: Rib fractures are common injuries that can lead to morbidity and mortality. Methods: Data on all patients with rib fractures admitted to a single trauma center between January 1, 2008 and December 31, 2018 were reviewed. Results: A total of 1,671 admissions for rib fracture were examined. Patients' median age was 57 years, the median Injury Severity Score (ISS) was 14, and the median number of fractured ribs was three. The in-hospital mortality rate was 4%. Age, the number of rib fractures, and Charlson Comorbidity Index scores were poor predictors of mortality, while the ISS was a slightly better predictor, with area under the receiver operating characteristic curve values of 0.60, 0.55, 0.58, and 0.74, respectively. Multivariate regression showed that age, ISS, and Charlson Comorbidity Index score, but not the number of rib fractures, were associated with significantly elevated adjusted odds ratios for mortality (1.03, 1.14, and 1.28, respectively). Conclusions: Age, ISS, and comorbidities were independently associated with the risk of mortality; however, they were not accurate predictors of death. The factors associated with rib fracture mortality are complex and cannot be explained by a single variable. Interventions to improve outcomes must be multifaceted.

• Journal of Sericultural and Entomological Science
• /
• v.20 no.2
• /
• pp.36-39
• /
• 1978

With the current advances in insect toxicant bioassay, the need for easy methods of estimating the dosage-mortality regression equation has become vital. The Probit analysis seems to be not convenient for estimating the dosage-mortality regression equation and median lethal dose(LD50) because of its complexity in calculation. This study presents a comparision between Probit and Losit transformation for the estimation from bioassay results. Validation of the two methods is presented for the pathogenecity of nuclear polyhedrosis virus to the larva of fall web worm, Hyphantria cunea D.

• Radiation Oncology Journal
• /
• v.37 no.2
• /
• pp.117-126
• /
• 2019

Purpose: The purpose of this study was to characterize and evaluate the clinical significance of volume changes of soft tissue sarcomas during radiation therapy (RT), prior to definitive surgical resection. Materials and Methods: Patients with extremity or pelvis soft tissue sarcomas treated at our institution from 2013 to 2016 with RT prior to resection were identified retrospectively. Tumor volumes were measured using cone-beam computed tomography obtained daily during RT. Linear regression evaluated the linearity of volume changes. Kruskal-Wallis tests, Mann-Whitney U tests, and linear regression evaluated predictors of volume change. Logistic and Cox regression evaluated volume change as a predictor of resection margin status, histologic treatment response, and tumor recurrence. Results: Thirty-three patients were evaluated. Twenty-nine tumors were high grade. Prior to RT, median tumor volume was 189 mL (range, 7.2 to 4,885 mL). Sixteen tumors demonstrated significant linear volume changes during RT. Of these, 5 tumors increased and 11 decreased in volume. Myxoid liposarcoma (n = 5, 15%) predicted decreasing tumor volume (p = 0.0002). Sequential chemoradiation (n = 4, 12%) predicted increasing tumor volume (p = 0.008) and corresponded to longer times from diagnosis to RT (p = 0.01). Resection margins were positive in three cases. Five patients experienced local recurrence, and 7 experienced distant recurrence, at median 8.9 and 6.9 months post-resection, respectively. Volume changes did not predict resection margin status, local recurrence, or distant recurrence. Conclusion: Volume changes of pelvis and extremity soft tissue sarcomas followed linear trends during RT. Volume changes reflected histologic subtype and treatment characteristics but did not predict margin status or recurrence after resection.

• Communications for Statistical Applications and Methods
• /
• v.16 no.5
• /
• pp.781-790
• /
• 2009

This paper deals with a rank transformation method and a Theil's method based on an ${\alpha}$-level set of a fuzzy number to construct a fuzzy linear regression model. The rank transformation method is a simple procedure where the data are merely replaced with their corresponding ranks, and the Theil's method uses the median of all estimates of the parameter calculated from selected pairs of observations. We also consider two numerical examples to evaluate effectiveness of the fuzzy regression model using the proposed method and of another fuzzy regression model using the least square method.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.5
• /
• pp.2159-2163
• /
• 2014

Background: Prostate cancer is the most frequently occurring cancer among males in economically developed countries. Among the several risk factors that have been suggested, only age, ethnicity, diabetes, and family history of prostate cancer are well-established and primary prevention of this disease is limited. Prior studies had shown that dietary intake could be modified to reduce cancer risk. We conducted a hospital-based, casecontrol study to examine the association between dietary patterns and prostate cancer risk in Iran. Materials and Methods: A total of fifty patients with prostate cancer and a hundred controls underwent face-to-face interviews. Factor analysis was used to determine the dietary patterns. Multivariate logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Results: We defined two major dietary patterns in this population: 'western diet'(high in sweets and desserts, organ meat, snacks, tea and coffee, French fries, salt, carbonated drinks, red or processed meat) and 'healthy diet' (high in legumes, fish, dairy products, fruits and fruit juice, vegetables, boiled potatoes, whole cereal and egg). Both Healthy and western pattern scores were divided into two categories (based on medians). Higher scores on Healthy pattern was marginally significantly related to decreased risk of prostate cancer (above median vs below median, OR =0.4, 95%CI=0.2-1.0). An increased risk of prostate cancer was observed with the higher scores on the Western pattern (above median vs below median, OR=4.0, 95%CI=1.5-11.0). Conclusions: The results of this study suggested that diet might be associated with prostate cancer among Iranian males.

• Journal of Chest Surgery
• /
• v.47 no.3
• /
• pp.211-219
• /
• 2014

Background: Our objectives were to review our institutional early and midterm experience with primary tetralogy of Fallot (TOF) repair, and identify predictors of intensive care unit (ICU) morbidity. Methods: We analyzed perioperative and midterm follow-up data for all cases of primary TOF repair from 2001 to 2012. The primary endpoint was early mortality and morbidity, and the secondary endpoint was survival and functional status at follow-up. Results: Ninety-seven patients underwent primary repair. The median age was 4.9 months (range, 1 to 9 months), and the median weight was 5.3 kg (range, 3.1 to 9.8 kg). There was no early surgical mortality. The incidence of junctional ectopic tachycardia and persistent complete heart block was 2% and 1%, respectively. The median length of ICU stay was 6 days (range, 2 to 21 days), and the median duration of mechanical ventilation was 19 hours (range, 0 to 136 hours). By multiple regression analysis, age and weight were independent predictors of the length of ICU stay, while the surgical era was an independent predictor of the duration of mechanical ventilation. At the 8-year follow-up, freedom from death and re-intervention was 97% and 90%, respectively. Conclusion: Primary TOF repair is a safe procedure with low mortality and morbidity in a medium-sized program with outcomes comparable to national standards. Age and weight at the time of surgery remain significant predictors of morbidity.

• Journal of Yeungnam Medical Science
• /
• v.40 no.1
• /
• pp.78-85
• /
• 2023

Background: Poor sleep quality is associated with psychoactive substance abuse/addiction/withdrawal. Auricular acupuncture (AA) is a nonpharmacological method used for the treatment of sleep disturbances. This study aimed to examine the quality of sleep before and after AA in participants with mental and behavioral disorders due to prior multiple drug use in the therapeutic community. Methods: This was a consecutive case series of 27 participants (25 male [92.6%]). The median age was 35.0 years (interquartile range [IQR], 29.0-37.2 years), methadone/buprenorphine were not used, and the participants were treated with AA (median number of treatments, 15.0 [IQR, 12.0-18.0]) during a median period of 51.0 days (IQR, 49.0-51.0 days) according to the National Acupuncture Detoxification Association (NADA)-Acudetox protocol. Sleep quality was determined using the Pittsburgh Sleep Quality Index (PSQI), a self-rated questionnaire that assesses sleep quality and disturbances over a 1-month interval. Results: The global PSQI score dropped (indicating better sleep quality) by a median of 3.0 points (IQR, 0.0-8.0 points) after treatment. In the multivariate logistic regression analysis, with an increase in global PSQI score during AA by 1 point, there was a 0.73-fold reduction in the risk of poor sleep quality post-AA (adjusted odds ratio, 0.73; 95% confidence interval, 0.52-1.01; p<0.055; Nagelkerke's R² =0.66). Conclusion: The results revealed a positive effect of AA (by the NADA-Acudetox protocol) on sleep quality (as measured by PSQI) among participants in a treatment center with mental and behavioral disorders due to multiple drug use.

• Journal of the Korean Data Analysis Society
• /
• v.20 no.6
• /
• pp.2721-2731
• /
• 2018

This study purposes to derive the predictive model for the cold tolerance of Brassica napus, using the data collected in the Tree Breeding Lab of Gyeongsang National University during July and August of 2016. Three Brassica napus samples were treated at each of low temperatures from $4^{\circ}C$ to $-12^{\circ}C$ by decrement of $4^{\circ}C$, step by step, and electrolyte leakage levels were measured at each stage. Electrolyte leakages were observed tangibly from $-4^{\circ}C$. We tried to fit the six nonlinear regression models to the electrolyte leakage data of Brassica napus: 3-parameter logistic model, baseline logistic model, 4-parameter logistic model, (4-1)-parameter logistic model, 3-parameter Gompertz model, and (3-1)-parameter Gompertz model. The baseline levels of the electrolyte leakage estimated by these models were 4.81%, 4.07%, 4.19%, 4.07%, 4.55%, and 0%, respectively. The estimated median lethal temperature, LT50, were $-5.87^{\circ}C$, $-6.31^{\circ}C$, $-6.05^{\circ}C$, $-6.35^{\circ}C$, $-4.98^{\circ}C$, and $-5.15^{\circ}C$, respectively. We compared and discussed the measures of goodness of fit to select the appropriate nonlinear regression model.