• Journal of Environmental Science International
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• v.21 no.5
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• pp.613-622
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• 2012

A pilot-scale pulse-jet bagfilter was designed, built and tested for the effects of four operating conditions (filtration velocity, inlet dust concentration, pulse pressure, and pulse interval time) on the total system pressure drop, using coke dust from a steel mill factory. Two models were used to predict the total pressure drop according to the operating conditions. These model parameters were estimated from the 180 experimental data points. The empirical model (EM) with filtration velocity, areal density, inlet dust concentration, pulse interval time and pulse pressure shows the best correlation coefficient (R=0.971) between experimental data and model predictions. The empirical model was used as it showed higher correlation coefficient (R=0.971) compared to that of the Multivariate linear regression(MLR) (R=0.961). The minimum pulse pressure predicted by empirical model (EM) was 5kg/$cm^2$.

• Earthquakes and Structures
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• v.18 no.4
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• pp.507-517
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• 2020

This study aims to present new frequency-related seismic intensity parameters (SIPs) based on the Hilbert-Huang Transform (HHT) analysis. The proposed procedure is utilized for the processing of several seismic accelerograms. Thus, the entire evaluated Hilbert Spectrum (HS) of each considered seismic velocity time-history is investigated first, and then, a delimited area of the same HS around a specific frequency is explored, for the proposition of new SIPs. A first application of the suggested new parameters is to reveal the interrelation between them and the structural damage of a reinforced concrete frame structure. The index of Park and Ang describes the structural damage. The fundamental frequency of the structure is considered as the mentioned specific frequency. Two statistical methods, namely correlation analysis and multiple linear regression analysis, are used to identify the relationship between the considered SIPs and the corresponding structural damage. The results confirm that the new proposed HHT-based parameters are effective descriptors of the seismic damage potential and helpful tools for forecasting the seismic damages on buildings.

• Journal of Korean society of Dental Hygiene
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• v.14 no.6
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• pp.813-820
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• 2014

Objectives: The purpose of the study is to investigate the relationship between professional vocation and ethical inclination in clinical dental hygienists. Methods: A self-reported questionnaire was filled out by 221 clinical dental hygienist in Busan and Kyeongnam from April 1 to 30, 2014. The questionnaire consisted of structured questions including demographic characteristics(9 questions), vocational calling(9 questions), deontology(12 questions), asceticism(13 questions), and utilitarianism(8 questions). Questionnaire was carried out by Likert scale. Data were analyzed using the statistical package SPSS Window 19.0 for frequency, mean and standard deviation analysis, t-test, one-way ANOVA and linear regression. Results: There was a significantly positive correlation between professional vocation and ethical inclination. The deontology was associated with education, dental service career, duty hours, and number of clients in multivariate analysis after adjusting for socio-demographic characteristics and professional vocation. Asceticism was also correlated with education, and utilitarianism was closely associated with vocational calling, work place, number of clients, and monthly income. Conclusions: It is necessary to develop the curricula including vocational calling and ethical inclination in the dental hygiene education. The dental hygienists should learn the ethical and vocational calling as a professional career.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.395-405
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• 2020

This study examines the relationships and the impacts of service quality, customer satisfaction and switching costs on customer loyalty of e-banking in commercial banks. This study uses questionnaires with 7-point Likert scale to collect data from 227 e-banking users, who are mainly students and paid employees in Hanoi City, Vietnam. The collected data are analyzed by using multivariate linear regression method. The results show that all five factors of service quality in e-banking - reliability, responsiveness, service capacity, empathy and tangibility - have positive correlations with customer satisfaction. Among these determinants, service capacity and tangibility have the strongest impact. It means that, by increasing the quality of their services through five above factors, especially through improving capacity and tangibility, commercial banks can satisfy their customer better. In addition, customer satisfaction is strongly and positively correlated to customer loyalty. It means that, if customers are satisfied with e-banking services of one bank, they not only continue to do more businesses with this bank, but also recommend this bank to other people. Lastly, customer loyalty also has a strong and positive correlation with switching costs, which means customers tend to be loyal to one bank if the barriers to switching banks increase.

• Journal of the Korean Chemical Society
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• v.57 no.1
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• pp.109-114
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• 2013

The effects of aluminum nanoparticles (AlNs) on the thermal decomposition of ammonia perchlorate (AP) were investigated by DSC, TG-DSC and DSC-TG-MS-FTIR. Addition of AlNs resulted in an increase in the temperature of the first exothermic peak of AP and a decrease in the second. The processing of non-isothermal data at various heating rates with and without AlNs was performed using Netzsch Thermokinetics. The dependence of the activation energy calculated by Friedman's isoconversional method on the conversion degree indicated the decomposition process can be divided into three steps. They were C1/D1/D1 for neat AP, determined by Multivariate Non-linear Regression, and changed to C1/D1/F2 after addition of AlNs into AP. The isothermal curves showed that the thermal stability of AP in the low temperature stage was improved in the presence of AlNs.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.10
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• pp.187-196
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• 2021

Vietnam has become one of the largest markets in Southeast Asia, with huge demand for many kinds of consumer goods, including dairy products. Although the domestic industry of producing and distributing milk has flourished dramatically in recent years, Vietnam still heavily hinges on dairy imports. The total value of milk products in 2020 exceeded 1 billion USD, leading to Vietnam being one of the 20 biggest importers of dairy milk globally. To explore this potential industry, we applied a multivariate linear regression model to investigate the milk consumption behaviors of Vietnamese adults. 2000 participants took part in our survey in which the products evaluated were Dielac Alpha - the most famous national powdered milk introduced in 2007 by Vinamilk. This product was designed for all ages, from children aged 0-6 to pregnant women or adults. The results indicate that the decision to purchase milk could be attributed to a host of factors. While price represents the most strongly influential factor, there might be variations according to consumer characteristics, namely age, marriage status, gender, and particular shopping behavior. From these findings, we propose some managerial implications for regulatory bodies and relevant enterprises to prepare appropriate policies and strategies for their business development.

• Structural Monitoring and Maintenance
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• v.6 no.3
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• pp.219-235
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• 2019

Scheduled inspections of common crossings are one of the main cost drivers of railway maintenance. Prognostics and health management (PHM) approach and modern monitoring means offer many possibilities in the optimization of inspections and maintenance. The present paper deals with data driven prognosis of the common crossing remaining useful life (RUL) that is based on an inertial monitoring system. The problem of scheduled inspections system for common crossings is outlined and analysed. The proposed analysis of inertial signals with the maximal overlap discrete wavelet packet transform (MODWPT) and Shannon entropy (SE) estimates enable to extract the spectral features. The relevant features for the acceleration components are selected with application of Lasso (Least absolute shrinkage and selection operator) regularization. The features are fused with time domain information about the longitudinal position of wheels impact and train velocities by multivariate regression. The fused structural health (SH) indicator has a significant correlation to the lifetime of crossing. The RUL prognosis is performed on the linear degradation stochastic model with recursive Bayesian update. Prognosis testing metrics show the promising results for common crossing inspection scheduling improvement.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.135-144
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• 2021

This study investigates the impact of gender diversity on the board of directors on corporate intellectual capital (IC) disclosure in Indonesia. For the study purpose, the sample was divided into two sections, i.e., companies with large capitalizations and companies with small capitalizations. A paired T-test was used to observe significant changes in the disclosure level between period and type of firm. Using linear regression analysis, the influence of gender diversity and other variables on IC disclosure was examined. The findings show that IC disclosure varies for large and small companies. The level of IC disclosure in large companies was stronger than in small companies. The results of the multivariate analysis showed that the profitability, leverage, ownership, and type of business of the company significantly affect IC disclosure. For companies with large capitalization, the presence of women directors on corporate boards or gender diversity on corporate boards does not impact IC disclosure. This is because the Indonesia Stock Exchange (IDX) does not insist on IC disclosure. However, for small companies, the existence of gender diversity has a significant effect on IC disclosure. The findings of this study suggest that policymakers and standard makers must consider the inclusion of IC disclosure on the annual report as mandatory.

• PNF and Movement
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• v.19 no.2
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• pp.243-250
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• 2021

Purpose: The purpose of this study was to observe office workers' postural behaviors during computer work to identify the risk factors for head and thorax postural behaviors. Methods: The participants included 57 office workers who worked longer than 20 hours on a computer. Postural behaviors during computer work were measured using 3-D wearable motion sensors on the forehead and sternum. A multivariate linear regression model evaluated the association between various risk factors (neck pain, demographics, and environmental factors) and non-head and thorax postural behaviors. Results: The participants maintained their head and thorax in neutral postures (defined as 10° extension~10° flexion and 5° extension~10° flexion, respectively) for 24.7% and 39.3% of the total recorded time. Those who reported neck pain at the measurement of postural behaviors showed less time spent in thorax postures. Current neck pain, high desk height, and the distance between the keyboard and the edge of the desk (cm) were found to be related to less time spent in a neutral thorax posture. Conclusion: Office environment factors and current neck pain might affect workers' thorax postures, which might also determine the orientation of head postures during computer work.

• Asian Journal of Business Environment
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• v.13 no.1
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• pp.21-30
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• 2023

Purpose: The study analyzes the impact of attitudes toward food influencers on consumer purchase intention. It also aims to identify factors affecting consumers' attitudes toward food influencers. Research design, data and methodology: Based on the responses collected from 500 randomly selected consumers, the study analyzes the relationship based on the factors of influencer marketing. The authors test the conceptual model using multivariate linear regression analysis after validating the internal consistency of the data using Cronbach's Alpha reliability test and exploratory factor analysis (EFA). Results: The study finds that purchase intention is positively correlated and significantly impacted by the attitude towards influencer. The study further finds that attitude towards influencer is positively correlated and significantly impacted by source attractiveness, product match up, and source familiarity. However, source credibility is found to be an insignificant construct impacting attitude towards influencer. Conclusions: The study gives a guided solution to marketers and brand practitioners about the importance of influencer marketing in the food industry and its effectiveness in generating purchase intention. The present paper bridges a gap pertaining to antecedents and factors that impact attitudes toward food influencers and consumer purchase intention. To the authors' knowledge, this study is the first of its kind to investigate the impact of attitudes toward influencers on purchase intention in the food industry.