• Journal of Distribution Science
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• v.17 no.8
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• pp.25-34
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• 2019

Purpose - Investigate the association of internal and external factors of consumers and analysing the role of moderating comparative marketing aspects, especially the part of YouTuber and celebgram in influencing purchase decisions. Apart from that, it provides an overview of the pattern of purchase decision making in forming Millennials and Y generation consumer culture Research design, data, and methodology - This study uses a quantitative research approach with descriptive, predictive, and prospective data analysis on 300 eligible Millennials and Y aged 20-35 years who are bachelor-educated. Data collection using online surveys with final statistical analysis using the Partial Least Square (PLS) approach Results - All hypothesis are declared accepted, indirect testing the dominant internal consumer factors have a positive and significant effect on consumers' purchase decisions. Through testing Moderating, aspect marketing comparative is also authoritative able to moderate internal consumer factors towards purchase decision making. Conclusions - Digital technology is changing the paradigm and perceptions of the millennials and Y generations in terms of behaving as a generation of technology connoisseurs who also influence and shape the culture of that generation and the generations to come in the future.

• Earthquakes and Structures
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• v.18 no.2
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• pp.163-170
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• 2020

Floor acceleration plays a major role in the seismic design of nonstructural components and equipment supported by structures. Large floor acceleration may cause structural damage to or even collapse of buildings. For precision instruments in high-tech factories, even small floor accelerations can cause considerable damage in this study. Six P-wave parameters, namely the peak measurement of acceleration, peak measurement of velocity, peak measurement of displacement, effective predominant period, integral of squared velocity, and cumulative absolute velocity, were estimated from the first 3 s of a vertical ground acceleration time history. Subsequently, a new predictive algorithm was developed, which utilizes the aforementioned parameters with the floor height and fundamental period of the structure as the new inputs of a support vector regression model. Representative earthquakes, which were recorded by the Structure Strong Earthquake Monitoring System of the Central Weather Bureau in Taiwan from 1992 to 2016, were used to construct the support vector regression model for predicting the peak floor acceleration (PFA) of each floor. The results indicated that the accuracy of the predicted PFA, which was defined as a PFA within a one-level difference from the measured PFA on Taiwan's seismic intensity scale, was 96.96%. The proposed system can be integrated into the existing earthquake early warning system to provide complete protection to life and the economy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2063-2071
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• 2012

Mathematics is among the most important subjects in the middle school curriculum, yet the most hated subjects by students. The present study investigated the role of perceived executive functioning on the middle school student's mathematics achievement, after controlling for other psychological factors. Results showed that the students levels of executive functioning was predictive of their mathematics achievement test scores, even after motivational and attitude variables were controlled. The impact of the executive functioning was especially noticeable for the low achievers. On the other hand, for those whose scores were high, biological variables were the only significant predictors of their scores. The results of the present study imply that the intervention programs for improving mathematics achievement of middle school students should consider the different effect of cognitive and psychological factors on their achievements.

• Journal of the Korean Home Economics Association
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• v.46 no.3
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• pp.57-71
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• 2008

The purpose of this study is 1) to develop and validate the BRQ construct perceived by brand loyal consumers, 2) to evaluate the predictive capacity of the individual BRQ dimension and brand relationship benefit on consumers' relationship intention, and 3) to identify the distinctive loyalty orientation based on the concept of BRQ. Questionnaire data from 379 brand loyal consumers on BRQ, brand relationship benefit, relationship intention, and their brand loyal behavior pattern were analyzed. The results showed that brand loyal consumers' BRQ composed of 3 dimensions including 'compensational bind', 'self attachment', and 'trust'. In addition, the mediating role of BRQ in predicting consumers' loyal relationship intention was validated using the structural equation model. Regarding the effect of each BRQ dimension on loyal relationship intention, consumers' intention to be loyal to an apparel brand was more explained by self attachment than the other dimensions. This study also intended to provide a useful direction to apparel brands in finding out which relationship quality type is more effective for differentiated marketing strategies by comparing the BRQ of single-brand loyal consumers and that of multi-brand loyal consumers.

• Journal of Gastric Cancer
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• v.14 no.1
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• pp.1-6
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• 2014

Aerobic glycolysis has been the most important hypothesis in cancer metabolism. It seems to be related to increased bioenergetic and biosynthetic needs in rapidly proliferating cancer cells. To this end, F-18 fluorodeoxyglucose (FDG), a glucose analog, became widely popular for the detection of malignancies combined with positron emission tomography/computed tomography (PET/CT). Although the potential roles of FDG PET/CT in primary tumor detection are not fully established, it seems to have a limited sensitivity in detecting early gastric cancer and mainly signet ring or non-solid types of advanced gastric cancer. In evaluating lymph node metastases, the location of lymph nodes and the degree of FDG uptake in primary tumors appear to be important factors affecting the diagnostic accuracy of PET/CT. In spite of the limited sensitivity, the high specificity of PET/CT for lymph node metastases may play an important role in changing the extent of lymphadenectomy or reducing futile laparotomies. For peritoneal metastases, PET/CT seems to have a poorer sensitivity but a better specificity than CT. The roles of PET/CT in the evaluation of other distant metastases are yet to be known. Studies including primary tumors with low FDG uptake or peritoneal recurrence seem suffer from poorer diagnostic performance for the detection of recurrent gastric cancer. There are only a few reports using FDG PET/CT to predict response to neoadjuvant or adjuvant chemotherapy. A complete metabolic response seems to be predictive of more favorable prognosis.

• Journal of The Korean Association For Science Education
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• v.20 no.4
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• pp.667-679
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• 2000

One of the major activities in scientific inquiry, as well as in the process of conceptual change, is the generation of scientific hypothesis. In this study, the definition and the characteristics of scientific hypothesis are analyzed. Especially, differences between explanatory hypothesis and scientific explanation, predictive hypothesis and scientific prediction, and scientific hypothesis and the inductive generalization are analyzed. And the process of making scientific hypothesis is suggested as 4 stages, and the role and the characteristic of the abductive thinking, which can be viewed as one of the scientific inferences needed to generate hypothesis, are discussed. In analysis, concrete examples from integrated science textbook of high school are used for application to the classroom teaching.

• Bulletin of the Korean Chemical Society
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• v.34 no.4
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• pp.1212-1220
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• 2013

The human coagulation factor XI (FXI) is a serine protease that plays a significant role in blocking of the blood coagulation cascade as an attractive antithrombotic target. Selective inhibition of FXIa (an activated form of factor XI) disrupts the intrinsic coagulation pathway without affecting the extrinsic pathway or other coagulation factors such as FXa, FIIa, FVIIa. Furthermore, targeting the FXIa might significantly reduce the bleeding side effects and improve the safety index. This paper reports on a docking-based three dimensional quantitative structure activity relationship (3D-QSAR) study of the potent FXIa inhibitors, the chloro-phenyl tetrazole scaffold series, using comparative molecular field analysis (CoMFA) and comparative molecular similarity analysis (CoMSIA) methods. Due to the characterization of FXIa binding site, we classified the alignment of the known FXIa inhibitors into two groups according to the docked pose: S1-S2-S4 and S1-S1'-S2'. Consequently, highly predictive 3D-QSAR models of our result will provide insight for designing new potent FXIa inhibitors.

• Journal of Korean Clinical Nursing Research
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• v.19 no.2
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• pp.275-284
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• 2013

Purpose: This study was aimed to find out the effect of core competency and teaching style on preceptor self-efficacy among preceptors. Methods: One hundred twelve nurses working at four university hospitals with previous preceptor experience participated in the survey. The data were analyzed by t-test, ANOVA, Pearson correlation coefficients and multiple regression. Results: The preceptors used 'judgment-initiative' teaching style most frequently, and reported the highest scores in the role model dimension of core competency. There were significant positive relations between age (r=.266, p=.005), clinical experience (r=.274, p=.004), preceptorship experience (r=.204, p=.032), core competency (r=.593, p<.001) and preceptor self- efficacy. But preceptor self-efficacy was not significantly different depending on the teaching style (F=0.72, p=.54). The most predictive factors of the preceptor self-efficacy were core competency and teaching style (judgment)(F=31.849, p<.001). The explained variance for preceptor self-efficacy was 35.9% in the model. Conclusion: The preceptor self-efficacy is essential for the preceptors' successful teaching experience and the clinical competency improvement of the entry level nurses. Management for an effective preceptor training program needs to focus on the improvement of core competency of preceptors, which will lead to strengthen their self-efficacy.

• Annals of Clinical Neurophysiology
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• v.9 no.2
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• pp.69-74
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• 2007

Electroencephalogram (EEG) is a representative diagnostic tool in epilepsy. However, there are several points of debate on the role of EEG in diagnosis and management of epilepsy. We suggest that EEG has some limitations for differential diagnosis from nonepileptic episodic diseases, classification of epilepsy, prediction of recurrence, and evaluation of treatment response. Interictal EEG cannot diagnose or exclude epilepsy because interictal epileptic discharge (IED) is frequently absent in epilepsy and can appear in nonepileptic conditions. Although EEG is helpful in classification of epilepsy, focal spikes in generalized epilepsy and secondary bilateral synchrony in localization related epilepsy cause interrater disagreement. It is controversial whether EEG predicts recurrence after the first seizure in adults. The predictive value of EEG in antiepileptic drug (AED) withdrawal is not absolute. The prognosis after AED withdrawal depends on epilepsy syndrome. Many studies could not confirm the value of EEG in assessing the treatment response. After all, epilepsy is clinically diagnosed and assessed. Interictal EEG alone does not provide decisive information and routine follow-up of EEG is not recommended.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.1975-1988
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• 2019

Short-term traffic flow prediction plays an important role in intelligent transportation systems (ITS) in areas such as transportation management, traffic control and guidance. For short-term traffic flow regression predictions, the main challenge stems from the non-stationary property of traffic flow data. In this paper, we design an ensemble cascading prediction framework based on extremely randomized trees (extra-trees) using a boosting technique called EET to predict the short-term traffic flow under non-stationary environments. Extra-trees is a tree-based ensemble method. It essentially consists of strongly randomizing both the attribute and cut-point choices while splitting a tree node. This mechanism reduces the variance of the model and is, therefore, more suitable for traffic flow regression prediction in non-stationary environments. Moreover, the extra-trees algorithm uses boosting ensemble technique averaging to improve the predictive accuracy and control overfitting. To the best of our knowledge, this is the first time that extra-trees have been used as fundamental building blocks in boosting committee machines. The proposed approach involves predicting 5 min in advance using real-time traffic flow data in the context of inherently considering temporal and spatial correlations. Experiments demonstrate that the proposed method achieves higher accuracy and lower variance and computational complexity when compared to the existing methods.