• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.3869-3877
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• 2011

The purpose of this study is to investigate the influence of market orientation and creativity on new product performance and to examine whether these factors on new product performance between types of technology innovation. Based on the literature reviews, this study employs five factors in two group of influencing factors, market orientation characteristics and creativity characteristics as key determinants of new product performance. The data have been collected from 136 enterprises and the respondents were person in charge of new product development of each corporation. The results of hypotheses testing through multiple regression analysis are summarized as follows. Firstly, all factors of market orientation and creativity have positive influence upon new product performance. Secondly, in terms of the relationship between market orientation and creativity and new product performance, the results showed significant differences between continuous innovation and discontinuous innovation samples. Based on the findings, implications and directions for future research are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.4008-4014
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• 2011

The purpose of this study was to identify the effect of muscular strength, sensation, and spasticity of the hip joint on balance using clinical tools in chronic stroke patients. Thirty-two subjects participated. It were measured muscular strength of the hip flexor, extensor, abductor, and adductor using manual muscle testing, light touch sensibility, and spasticity of the quadriceps using the modified Ashworth scale in the paretic lower extremity. Also, static and dynamic balance were measured by the functional balance scale. Collected data was analyzed by stepwise multiple regression. Muscular strength of the hip abductor, light touch sensibility, and spasticity were associated with static balance(p<0.05) and explanatory power was 80.5%. Muscular strength of the hip abductor and light touch sensibility were associated with dynamic balance(p<0.05) and explanatory power was 77.9%. Thus, it is suggested that muscular strength of the hip abductor and light touch sensibility is considered when providing evaluation and intervention programs for the future in the balance.

• Journal of Korean Neurosurgical Society
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• v.45 no.6
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• pp.355-359
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• 2009

Objective : It has been suggested that elevated cardiac troponin T (cTnT) level is a marker of increased risk of mortality in acute ischemic stroke and subarachnoid hemorrhage (SAH). However, the association of serum cTnT level and prognosis of intracerebral hemorrhage (ICH) has been sparsely investigated. The aim of this study was to identify the relationship between cTnT level and the outcome in patients with spontaneous ICH. Methods : We retrospectively investigated 253 patients identified by a database search from records of patients admitted in our department for ICH between January 1, 2003 and December 31, 2007. The patients were divided into 2 groups; the patients in group 1 (n=225) with serum cTnT values of 0.01 ng/mL or less, and those in group 2 (n=28) with serum cTnT values greater than 0.01 ng/mL. Results : The serum cTnT level was elevated in 28 patients. There were significant differences in sex, hypertension, creatine kinase-myocardial band, midline shift, side of hematoma, and presence of intraventricular hemorrhage between the 2 groups. Logistic regression analysis identified the level of consciousness on admission, cTnT and midline shift as independent predictors of hospital mortality. Conclusion : Theses results suggest that increased serum cTnT level at admission is associated with in-hospital mortality and the addition of a serum cTnT assay to routine admission testing should be considered in patients with ICH.

• The Journal of Korean Physical Therapy
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• v.31 no.5
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• pp.322-327
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• 2019

Purpose: This study examined the influence of the maximal aerobic capacity on the two-year cardiac-related re-hospitalization in patients with heart failure with a reduced ejection fraction (HFrEF) in Korean society. Methods: The maximal aerobic capacity of the study population (n=95, male 63%) was evaluated using a cardiopulmonary exercise (CPX) testing system. Each patient was followed up for two years to divide the HFrEF patients into two groups according to cardiac-related re-hospitalization: re-hospitalization (RH) group (n=29, 30%) and no re-hospitalization (NRH) group (n=66, 70%). Results: The relative peak $VO_2$ (mL/kg/min, p<0.001), exercise duration (p<0.001), respiratory exchange ratio ($VCO_2/VO_2$, p=0.001), systolic blood pressure (SBP) reserve (p=0.004), heart rate (HR) reserve (p=0.007), SBP max (p=0.02), and HR max (p=0.039) were significantly lower in the RH group than the NRH group during the CPX test. On the other hand, the ventilatory efficiency (VE/VCO2 slope, p=0.02) and age (p=0.022) were significantly higher in the RH group than in the NRH group. In binary logistic regression analysis, the relative peak $VO_2$ (p=0.001, Wald Chi-square 10.137) was the strongest predictive factor on cardiac-related re-hospitalization, which was followed by $VCO_2/VO_2$ (p=0.019, Wald Chi-square 5.54). On the other hand, age (p=0.063, Wald Chi-square 3.445) did not have a significant influence on cardiac related re-hospitalization. Conclusion: The maximal aerobic capacity, especially the relative peak $VO_2$, is the strongest factor on cardiac-related re-hospitalization within two years in patients with HFrEF in Korean society.

• Journal of the Korean Society for Railway
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• v.16 no.3
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• pp.217-225
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• 2013

In this study, by considering the rail fastening support distance and the distance between the bridge and the abutment, the behavior of concrete track installed on a railway bridge end deck and the bridge end rotation were analyzed. In order to analyze the track-bridge interaction, bridge and abutment specimens with concrete track structures were designed and used in laboratory testing. At a constant fastening support distance, an increase in the bridge end rotation caused an increase in the displacement of the rail. Therefore, the displacement of the rail directly affects the rail and clip stress. Further, it is inferred that the results of multiple regression analysis obtained using measured data such as angle of bridge end rotation and fastening support distance can be used to predict the track-bridge interaction forces acting on concrete track installed on railway bridge deck ends.

• International Area Studies Review
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• v.14 no.3
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• pp.131-154
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• 2010

This study tries to analyze what the most significant factors are in Brazil, where the Korean investing firms have to overcome and adapt to various difficulties, especially in terms of political environment. This main purpose of this research is to test empirically some relations of between the managing strategy of Korean firms and the environment factors of politics in Brazil while this is conducted in two stages. First, the research model is designed by reviewing relevant theories, previous studies, and the current investment conditions in local Brazil. Second, the survey of Korean firms engaged in investment activities in there is done by collecting questionnaires from them. with this survey, the strategic method of multiple regression is used to testing some hypotheses. At the result of Analysis, It is proved there haven been negative affecting political factors of law/regulation system and administrative operation service, and Korean firms have implementing the responding management strategies with reasonable adaptation to risks and human network reinforcement.

• International Area Studies Review
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• v.12 no.3
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• pp.111-133
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• 2008

This study tries to analyze what the most significant factors are in Russia, where the Korean investing enterprises have to overcome and adapt to various difficulties, especially in terms of local circumstance politically. This main purpose of the research is to test empirically some relations between the managing strategy of Korean enterprises and the circumstance factors of politics in Russia while this is conducted in two stages. First, the research model is designed by reviewing relevant theories, previous studies, and the current investment conditions in local Russia. Second, the survey of Korean enterprises engaged in investment activities in there is done by collecting questionnaires from them with this survey. And the statistic method of structural equation modeling is used to testing some hypotheses. Explaining the analyzing tools, SPSS 12.0 for windows is being used for Correlation, Reliability, Validity and Multi regression and Finally the Path analysis is implemented by AMOS 7.0 for windows.

• Neurospine
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• v.15 no.4
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• pp.329-337
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• 2018

Objective: Machine learning algorithms excel at leveraging big data to identify complex patterns that can be used to aid in clinical decision-making. The objective of this study is to demonstrate the performance of machine learning models in predicting postoperative complications following anterior cervical discectomy and fusion (ACDF). Methods: Artificial neural network (ANN), logistic regression (LR), support vector machine (SVM), and random forest decision tree (RF) models were trained on a multicenter data set of patients undergoing ACDF to predict surgical complications based on readily available patient data. Following training, these models were compared to the predictive capability of American Society of Anesthesiologists (ASA) physical status classification. Results: A total of 20,879 patients were identified as having undergone ACDF. Following exclusion criteria, patients were divided into 14,615 patients for training and 6,264 for testing data sets. ANN and LR consistently outperformed ASA physical status classification in predicting every complication (p < 0.05). The ANN outperformed LR in predicting venous thromboembolism, wound complication, and mortality (p < 0.05). The SVM and RF models were no better than random chance at predicting any of the postoperative complications (p < 0.05). Conclusion: ANN and LR algorithms outperform ASA physical status classification for predicting individual postoperative complications. Additionally, neural networks have greater sensitivity than LR when predicting mortality and wound complications. With the growing size of medical data, the training of machine learning on these large datasets promises to improve risk prognostication, with the ability of continuously learning making them excellent tools in complex clinical scenarios.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.129-137
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• 2019

The purpose of this study is to investigate the effects of the actual self congruity and the ideal self congruity on positive attitudes toward city through fictitious city brand experiments. Additionally, the moderating role of city brand personality in relationship between brand-self congruity and positive attitudes are examined. This research conducted a survey after developing scenarios of two city brand personality. Frequency analysis to identify the characteristics of respondents, t-test to check the experimental manipulation, multiple regression analysis and chow test for hypothesis testing were performed through the SPSS Statistics 21 program. The self congruity of city brand had significant effects on attitudes toward city, but the moderating role of city brand personality was not significant. Theoretical and managerial implications of the findings were discussed and self congruity is an important variable in brand-consumer relationship in city brand. Finally, limitations of this study and future research directions were discussed.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.175-199
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• 2019

Uncertainty means incomplete stages of knowledge of propositions due to the lack of consensus of information and existing knowledge. As the amount of academic literature increases exponentially over time, new knowledge is discovered as research develops. Although the flow of time may be an important factor to identify patterns of uncertainty in scientific knowledge, existing studies have only identified the nature of uncertainty based on the frequency in a particular discipline, and they did not take into consideration of the flow of time. Therefore, in this study, we identify and analyze the uncertainty words that indicate uncertainty in the scientific literature and investigate the stream of knowledge. We examine the pattern of biomedical knowledge such as representative entity pairs, predicate types, and entities over time. We also perform the significance testing using linear regression analysis. Seven pairs out of 17 entity pairs show the significant decrease pattern statistically and all 10 representative predicates decrease significantly over time. We analyze the relative importance of representative entities by year and identify entities that display a significant rising and falling pattern.