• Physical Therapy Rehabilitation Science
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• v.11 no.2
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• pp.259-268
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• 2022

Objective: The purpose of this study was to measure the immediate effect of hip hinge exercise stretching on hamstring flexibility, pelvic tilting angle, proprioception, and dynamic balance in individual with tightness of the hamstring. Design: A randomized controlled trial. Methods: A total of 35 healthy young adults (27 males, 8 females) volunteered for this study and randomly divided into three groups (Hip hinge exercise stretching group, passive stretching group, and PNF stretching group). The hamstring flexibility, pelvic tilting angle, knee joint proprioception, dynamic balance was conducted for 3 times. In order to evaluate the hamstring flexibility, the active knee extension test was performed. Forward bending test was performed to examine pelvic tilting angle.The proprioception was tested by the joint position sense test and dynamic balance was evaluated by Y balance test. Results: The hamstring flexibility, pelvic tilting angle and dynamic balance were significantly improved between three groups before and after intervention (p<0.05). Dynamic balance was significantly difference between the three groups in the posterolateral direction (p<0.05). Conclusions: This study result showed that hip hinge exercise stretching was the most effective method for increasing hamstring flexibility, pelvic tilting angle and dynamic balance. In addition, it is necessary to study whether hamstring stretching is effective in low back pain patient with hamstrings tightness.

• International Journal of Contents
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• v.18 no.3
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• pp.21-33
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• 2022

Previous research has provided inconsistent findings as to whether socially (in)competent individuals benefit from social networking sites (SNSs) use. Based on the rich-get-richer model, some studies have shown that socially competent individuals expand their existing networks even further via SNSs use. Based on the poor-get-richer model, other studies have shown that those with poor social skills can achieve beneficiary outcomes from SNSs use by overcoming their deficient social resources of offline environments. The present study is devised to add evidence regarding how and why social skills are related to SNSs use. To this end, we tested the relationships between social competence and three types of Facebook communication activities: interaction, self-presentation, and passive observation. Further, drawing on the social cognitive theory, the mediating role of outcome expectancy in the relationship between social competence and Facebook communication activities was examined. Using an online survey in South Korea (N = 708), it was found that individuals with higher social competence were more likely than those with lower social competence to engage in interaction, self-presentation, passive observation on Facebook. Moreover, these relationships were mediated by outcome expectancy that the desired social outcomes could be achieved as a result of Facebook use.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.381-389
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• 2022

Studies examining the interplay between brand transgression and brand forgiveness is notably sparse especially in the context of Southeast Asian banking customers. The purpose of this research is to add to the existing literature by examining the impact of brand transgression, which is represented by negative past experience image incongruence, and corporate wrongdoing on brand forgiveness among Islamic banking customers in Malaysia. The increasing surge in interest in unfavorable brand relationships has sparked concerns about its impact on brand forgiveness. As a result, this theoretical argument, which lacks empirical proof, has to be statistically tested. The current study was conducted utilizing a non-probability purposive sampling technique among clients in the Klang Valley who had poor experiences with Islamic banking services. Data analysis included descriptive statistics, exploratory factor analysis, and multiple regression on a total of 211 valid replies. The findings show that two elements of brand transgression, image inconsistency, and corporate wrongdoing, have a major impact on brand forgiveness. However, the other dimension namely negative past experience was found to be non-significant to brand forgiveness. Research implications and directions for future studies are also discussed in this paper.

• Asia-Pacific Journal of Business
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• v.13 no.3
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• pp.493-504
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• 2022

Purpose - This study investigate the effect of innovative capacity on corporate export performance and moderating flexibility. Design/methodology/approach - For this, hypotheses were established by reviewing previous studies and an empirical analysis was conducted for testing. Using SPSS 22.0, a frequency analysis of related variables was conducted. Through an exploratory factor analysis, validity and reliability tests of measuring tools were conducted and a descriptive statistics was analyzed for collected data result and hypotheses testing. Findings - Finally, with a verified model, the hypotheses and the moderating effects were tested. The results are as follows; The innovationa capacities have a positive effect on export performance and flexibility However, the flexbilitiy was not moderator in the relationship between innovative capacity and export performance. Research implications or Originality - According to the results above, this study presents directions to improve export performance of technological innovative type SMEs. The innovative capabilities, marketing capacity, organization innovative capacity and process innovative capactity, has an positive effect on

• Journal of Distribution Science
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• v.19 no.8
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• pp.81-89
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• 2021

Purpose: Traditional charity retail needs to change its communication in the online environment. This article examines the effectiveness of communication by online charity organizations in terms of the type of messages being delivered. Research design, data and methodology: Study 1 based on a sample of 120 Korean adults, we investigated whether charity asking messages for domestic people, compared to those for foreign people, prompt more favorable evaluations when framed with low (vs. high) construal levels. In Study 2, with 120 Korean adults sample, we tested whether emotional message appeals prompt a more favorable response than rational messages when framed in a socially close. Results: According to the result of Study 1, for the domestic recipients, donation messages situated in the near, compared to the distant, future induced more favorable reactions from potential donors. Moreover, in Study 2, emotional (vs. rational) message appeals generated more positive donation intentions when they were framed in the socially close situation. Conclusions: This research contributes that differing consumer construal have important implications for how marketing communication might best gain charitable support. This suggests that marketers who design a donation message should consider message's appeal and type to activate the potential donors' willingness to participate in the campaign.

• IEMEK Journal of Embedded Systems and Applications
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• v.17 no.1
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• pp.41-49
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• 2022

This paper proposes a novel lane detection algorithm based on inverse perspective transformation and machine learning in lightweight embedded system. The inverse perspective transformation method is presented for obtaining a bird's-eye view of the scene from a perspective image to remove perspective effects. This method requires only the internal and external parameters of the camera without a homography matrix with 8 degrees of freedom (DoF) that maps the points in one image to the corresponding points in the other image. To improve the accuracy and speed of lane detection in complex road environments, machine learning algorithm that has passed the first classifier is used. Before using machine learning, we apply a meaningful first classifier to the lane detection to improve the detection speed. The first classifier is applied in the bird's-eye view image to determine lane regions. A lane region passed the first classifier is detected more accurately through machine learning. The system has been tested through the driving video of the vehicle in embedded system. The experimental results show that the proposed method works well in various road environments and meet the real-time requirements. As a result, its lane detection speed is about 3.85 times faster than edge-based lane detection, and its detection accuracy is better than edge-based lane detection.

• Asia-Pacific Journal of Business
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• v.12 no.4
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• pp.135-151
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• 2021

Purpose - This paper analyzes the effect of factors affecting the depression of immigrant labor by the exploratory multivariate model empirically. Design/Methodology/Approach - We review results of precedent studies theoretically and implement empirical study by using the questionnaire data of Myanmar male immigrant labor. Findings - As the result of empirical study, the factor affecting the depression of immigrant labor significantly at p<0.5 level are 'interpersonal trouble in company', 'unjust wage' and 'bottleneck to life'. Also 'unjust treatment' and 'anxiety(of health)' are affecting factors significantly at p<0.1. Research Implications - Managerial implications are as follow. Firstly, employers have to reduce 'interpersonal trouble in company', 'unjust wage' and 'unjust treatment'. Secondly, gonernment have to support to reduce 'bottleneck to life' and 'anxiety(of health)'. Academic implications are as follow. Firstly, factors that are studied exploratively have to be tested by systematic empirical study. Secondly, which of short-term, lagged or cumulative is the nature of the affecting effect and the reciprocal relationship between depression and factors affecting the depression has to be studied empirically.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.183-193
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• 2023

This paper proposes and examines the economic impact of infrastructure improvement on the San-En-Nanshin region in the Chubu area of Japan. We develop a single transportation computable general equilibrium (CGE) model for each subregion within the San-En-Nanshin region. The explicit modeling of the transportation infrastructure is defined based on interregional commuting flows and business trips, considering the spatial structure of the San-En-Nanshin economy. A CGE model is integrated with an interregional transportation network model to enhance the framework's potential for understanding the infrastructure's role in regional development. To evaluate the economic impact of transportation improvement, we analyze the interrelationship between travel time savings and regional output and income. The economic impact analysis under the CGE framework reveals how transportation facilities and systems affect firm and household behavior and therefore induce changes in the production and consumption of commodities and transportation services. The proposed theoretical model was tested by using data from the 2005 IO tables of each subregion and the 2006 transport flow dataset issued by the Ministry of Land, Infrastructure, Transport, and Tourism in Japan. As a result, the paper confirms the positive effect of transportation investment on the total output and income of the studied region. Specifically, we found that while economic benefits typically appear in urban areas, rural areas can still potentially benefit from transportation improvement projects.

• Smart Structures and Systems
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• v.29 no.1
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• pp.105-116
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• 2022

Stay cables play an essential role in cable-stayed bridges. Severe vibrations and/or harsh environment may result in cable failures. Therefore, an efficient structural health monitoring (SHM) solution for cable damage detection is necessary. This study proposes a data-driven method for immediately detecting cable damage from measured cable forces by recognizing pattern transition from the intact condition when damage occurs. In the proposed method, pattern recognition for cable damage detection is realized by time series classification (TSC) using a deep learning (DL) model, namely, the long short term memory fully convolutional network (LSTM-FCN). First, a TSC classifier is trained and validated using the cable forces (or cable force ratios) collected from intact stay cables, setting the segmented data series as input and the cable (or cable pair) ID as class labels. Subsequently, the classifier is tested using the data collected under possible damaged conditions. Finally, the cable or cable pair corresponding to the least classification accuracy is recommended as the most probable damaged cable or cable pair. A case study using measured cable forces from an in-service cable-stayed bridge shows that the cable with damage can be correctly identified using the proposed DL-TSC method. Compared with existing cable damage detection methods in the literature, the DL-TSC method requires minor data preprocessing and feature engineering and thus enables fast and convenient early detection in real applications.

• Computers and Concrete
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• v.28 no.5
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• pp.507-519
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• 2021

In this study, a new procedure was proposed in order to predict the crack pattern and failure mode of steel fiber reinforced concrete (SFRC) corbels. Moreover, an experimental study was carried out in order to investigate the effect of several parameters, such as compressive strength, tensile strength, steel fiber ratio, shear span on the mechanical behavior of SFRC corbels in detail. Totally, 24 RC and SFRC corbels were prepared for the experimental study. Experimental results indicate that each investigated parameter has noticeable effect on the load capacity and failure mode of SFRC corbels. Moreover, finite element (FE) model of the tested corbels were prepared and efficiency of FE model was investigated for further studies. Comparison of FE and experimental results show that there is an acceptable fit between them regarding load capacity and crack patterns. Thereafter, parametric study was carried out via FE analyses in order to obtain a methodology for crack pattern and failure mode prediction of SFRC corbels. As a result of parametric studies, a new procedure was proposed as flowcharts in order to predict the failure mode of SFRC corbels for normal and high strength concrete class separately.