• Journal of KIISE:Computer Systems and Theory
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• v.27 no.8
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• pp.741-751
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• 2000

To achieve high performance by exploiting instruction level parallelism aggressively in superscalar processors, it is necessary to overcome the limitation imposed by control dependences and data dependences which prevent instructions from executing parallel. Value prediction is a technique that breaks data dependences by predicting the outcome of an instruction and executes speculatively its data dependent instruction based on the predicted outcome. In this paper, a hybrid value prediction scheme with dynamic classification mechanism is proposed. We design a hybrid predictor by combining the last predictor, a stride predictor and a two-level predictor. The choice of a predictor for each instruction is determined by a dynamic classification mechanism. This makes each predictor utilized more efficiently than the hybrid predictor without dynamic classification mechanism. To show performance improvements of our scheme, we simulate the SPECint95 benchmark set by using execution-driven simulator. The results show that our scheme effect reduce of 45% hardware cost and 16% prediction accuracy improvements comparing with the conventional hybrid prediction scheme and two-level value prediction scheme.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.5
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• pp.430-436
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• 2018

Objective: The purpose of this study was to evaluate whether or not the d-dimer level indicating hyperfibrinolysis could be a predictor of early poor outcome (massive transfusion, death within 24 hours) associated with trauma-induced coagulopathy in blunt trauma without significant brain injury. Methods: This study was a retrospective observational study using 516 blunt trauma patients without significant brain injury. The poor outcome group, including patients receiving massive transfusion and those who died within 24 hours, consisted of 33 patients (6.4%). The variables were compared between the poor outcome group and good outcome group, and logistic regression analysis was performed using statistically significant variables. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the poor outcome prediction ability of the initial d-dimer level. Results: The poor outcome group showed more serious anatomical, physiological, and laboratory data than the good outcome group. In the ROC curve analysis for evaluation of the poor outcome prediction of the d-dimer level, the area under the curve value was 0.87 (95% confidence interval [CI], 0.84-0.90) while the cut-off value was 27.35 mg/L. In the logistic regression analysis, the high d-dimer level was shown to be an independent predictor of poor outcome (adjusted odds ratio, 14.87; 95% CI, 2.96-74.67). Conclusion: The high d-dimer level (>27.35 mg/L) can be used as a predictor for the poor outcome of patients with blunt trauma without significant brain injury.

• The Korean Journal of Food & Health Convergence
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• v.5 no.2
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• pp.1-11
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• 2019

The objective of this study is to assess the effect of interpregnancy interval on fetal outcome among women with term premature rupture of membrane in public hospitals, Ethiopia, 2017. Facility based follow up study was conducted in Southern Ethiopia public hospitals from February 30, 2017 to August 20, 2017. Among 150 observed mothers with interpregnancy interval of less two years, 46.67 % (95% CI: (7.170, 29.93) of them experienced adverse birth outcome, but among 173 women with interpregnancy interval of two and above years, 5.78% (95% CI: (7.170, 29.93) of them experienced adverse birth outcome. The odds of adverse birth outcome were more among women with interpregnancy interval of less than two years (AOR=17.899, 95%CI: [6.425, 49.859]. The effect of interbirth interval of less than two years on adverse birth outcome of newborn was increased by length labor of >=24 hours, induction of labour and cesarean section delivery. Interpregnancy interval of less than two years, in collaboration with other risk factors, is the main predictor of adverse birth outcome. Therefore especial attention should be given to mothers with birth spacing by using family planning methods to reduce adverse birth outcome.

• Proceedings of the IEEK Conference
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• 2000.06c
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• pp.55-58
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• 2000

To achieve high performance by exploiting instruction level parallelism(ILP) aggressively in superscalar processors, value prediction is used. Value prediction is a technique that breaks data dependences by predicting the outcome of an instruction and executes speculatively it's data dependent instruction based on the predicted outcome. In this paper, the performance of a hybrid value prediction scheme with dynamic classification mechanism is measured and analyzed by using execution-driven simulator for SPECint95 benchmark set.

• Journal of KIISE:Computer Systems and Theory
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• v.28 no.11
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• pp.601-612
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• 2001

In superscalar processors, value prediction is a technique that breaks true data dependences by predicting the outcome of an instruction in order to exploit instruction level parallelism(ILP). A value predictor looks up the prediction table for the prediction value of an instruction in the instruction fetch stage, and updates with the prediction result and the resolved value after the execution of the instruction for the next prediction. However, as the instruction fetch and issue rates are increased, the same instruction is likely to fetch again before is has been updated in the predictor. Hence, the predictor looks up the stale value in the table and this mostly will cause incorrect value predictions. In this paper, a stride value predictor with the capability of speculative updates, which can update the prediction table speculatively without waiting until the instruction has been completed, is proposed. Also, the performance of the scheme is examined using Simplescalar simulator for SPECint95 benchmarks in which our value predictor is added.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.1
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• pp.45-58
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• 2005

Purpose: The purpose of this study was to identify the relationship among self-leadership, job satisfaction, and perceived outcome in nurses. Method: The subjects of study were nurses as a population who were working for the 2 of university hospitals which have over 500 beds in Kyong Ki Province as well as who have been working for over 6 months. The data was collected by questionnaires from 217 nurses and analyzed using descriptive statistics, pearson correlation coefficient, and multiple regression on SPSS 10. 0 version. Results: The degree of Self-leadership was 3.38 out of 5 as a mean point. There was a significant difference in self-leadership according to age, level of education, working department, and position. There was a significant positive correlation between self-relationship and job satisfaction, self-relationship and perceived outcome, and job satisfaction and perceived outcome. The stepwise multiple regression analysis revealed that the most powerful predictor of job satisfaction and perceived outcome was constructive thinking. Conclusion: In conclusion, the result was obtained that self-leadership is much correlated with job-satisfaction of nurse and outcome of nursing practice. Therefore, as a way to promote efficiency of nursing organization, the constant study about self-leadership with the various aspects is needed focusing on self-management and inner motivation as a new leadership paradigm.

• Journal of Korean Neurosurgical Society
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• v.56 no.4
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• pp.303-309
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• 2014

Objective : The purpose of this study was to retrospectively review cases of intracerebral hemorrhage (ICH) medically treated at our institution to determine if the CT angiography (CTA) 'spot sign' predicts in-hospital mortality and clinical outcome at 3 months in patients with spontaneous ICH. Methods : We conducted a retrospective review of all consecutive patients who were admitted to the department of neurosurgery. Clinical data of patients with ICH were collected by 2 neurosurgeons blinded to the radiological data and at the 90-day follow-up. Results : Multivariate logistic regression analysis identified predictors of poor outcome; we found that hematoma location, spot sign, and intraventricular hemorrhage were independent predictors of poor outcome. In-hospital mortality was 57.4% (35 of 61) in the CTA spot-sign positive group versus 7.9% (10 of 126) in the CTA spot-sign negative group. In multivariate logistic analysis, we found that presence of spot sign and presence of volume expansion were independent predictors for the in-hospital mortality of ICH. Conclusion : The spot sign is a strong independent predictor of hematoma expansion, mortality, and poor clinical outcome in primary ICH. In this study, we emphasized the importance of hematoma expansion as a therapeutic target in both clinical practice and research.

• Journal of The Korean Society of Clinical Toxicology
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• v.13 no.2
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• pp.55-61
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• 2015

Purpose: Many studies have examined the mechanisms of impaired glucose homeostasis after organophosphate (OP) exposure, however no study has evaluated the clinical utility of blood glucose measurements in patients with OP poisoning. The current study was conducted to evaluate the initial glucose level at presentation and the glycemic variables during the first 3 days after admission as a predictor of mortality. Methods: This retrospective observational case series included 228 patients with a history of OP poisoning. Among other clinical data, information on the initial glucose level at presentation and mean glucose level, delta glucose level, and the presence of a hypoglycemic event during the first 3 days of admission, was collected. Results: Survivors had lower initial glucose levels at presentation and glucose variability during the first 3 days of admission compared to non-survivors. The frequency of hypoglycemic events was higher in non-survivors. In multivariate analysis, the initial glucose level (> 233 mg/dl) was an independent predictor of mortality, along with age. Conclusion: The initial glucose level at presentation can be helpful in prediction of mortality in cases of OP intoxication at bedside. The physician should pay attention to patients with a glucose level >233 mg/dl at presentation after ingestion of OP.

• Korean Journal of Radiology
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• v.21 no.1
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• pp.101-107
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• 2020

Objective: Avoiding a catastrophic outcome may be a more realistic goal than achieving functional independence in the treatment of acute stroke in octogenarians. This study aimed to investigate predictors of catastrophic outcome in elderly patients after an endovascular thrombectomy with an acute anterior circulation large vessel occlusion (LVO). Materials and Methods: Data from 82 patients aged ≥ 80 years, who were treated with thrombectomy for acute anterior circulation LVO, were analyzed. The association between clinical/imaging variables and catastrophic outcomes was assessed. A catastrophic outcome was defined as a modified Rankin Scale score of 4-6 at 90 days. Results: Successful reperfusion was achieved in 61 patients (74.4%), while 47 patients (57.3%) had a catastrophic outcome. The 90-day mortality rate of the treated patients was 15.9% (13/82). The catastrophic outcome group had a significantly lower baseline diffusion-weighted imaging-Alberta stroke program early CT score (DWI-ASPECTS) (7 vs. 8, p = 0.014) and a longer procedure time (42 minutes vs. 29 minutes, p = 0.031) compared to the non-catastrophic outcome group. Successful reperfusion was significantly less frequent in the catastrophic outcome group (63.8% vs. 88.6%, p = 0.011) compared to the non-catastrophic outcome group. In a binary logistic regression analysis, DWI-ASPECTS (odds ratio [OR], 0.709; 95% confidence interval [CI], 0.524-0.960; p = 0.026) and successful reperfusion (OR, 0.242; 95% CI, 0.071-0.822; p = 0.023) were independent predictors of a catastrophic outcome. Conclusion: Baseline infarct size and reperfusion status were independently associated with a catastrophic outcome after endovascular thrombectomy in elderly patients aged ≥ 80 years with acute anterior circulation LVO.

• Clinical and Experimental Reproductive Medicine
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• v.39 no.4
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• pp.176-181
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• 2012

Objective: In 2009 anti-M$\ddot{u}$llerian hormone (AMH) assay was approved for clinical use in Korea. This study was performed to determine the reference values of AMH for predicting ovarian response to controlled ovarian hyperstimulation (COH) using the clinical assay data. Methods: One hundred sixty-two women who underwent COH cycles were included in this study. We collected data on age, basal AMH and FSH levels, total dose of gonadotropins, stimulation duration, and numbers of oocytes retrieved and fertilized. Blood samples were obtained on cycle day 3 before gonadotropin administration started. Serum AMH levels were measured at a centralized clinical laboratory center. The correlation between the AMH level and COH outcomes and cut-off values for poor and high response after COH was analyzed. Results: Concentration of AMH was significantly correlated with the number of oocytes retrieved (OPU; r=0.700, p<0.001). The mean${\pm}$SE serum AMH levels for poor ($OPU{\leq}3$), normal ($4{\leq}OPU{\leq}19$), and high ($OPU{\geq}20$) response were $0.94{\pm}0.15$ ng/mL, $2.79{\pm}0.21$ ng/mL, and $6.94{\pm}0.90$ ng/mL, respectively. The cut-off level, sensitivity and specificity for poor and high response were 1.08 ng/mL, 85.8%, and 78.6%; and 3.57 ng/mL, 94.4%, and 83.3%, respectively. Conclusion: Our data present clinical reference values of the serum AMH level for ovarian response in Korean women. The serum AMH level could be a clinically useful predictor of ovarian response to COH.