• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.201-212
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• 2021

This study aims to investigate variables affecting the business performance of Muslim women entrepreneurs in Sri Lanka. A multidimensional analysis was proposed with five potentially defined antecedents of business performance which included psychological characteristics, human capital, social capital, industrial factor, and cultural factor. Data was collected from 286 respondents through the use of a self-administered questionnaire. The results of structural equation modeling indicate that the model meets the goodness-of-fit indices and that generally, all five factors have significant positive relationships with business performance. Amongst the dimensions of psychological characteristics, only risk-taking had a notable effect on business performance. Amongst the dimensions of human capital, two of the three dimensions (business experience and business skills) were significantly associated with business performance; in the case of social capital, one of the two dimensions (non-familial affiliations) was significantly associated with business performance; and in the case of industrial factor, resource accessibility was significantly associated with business performance. A strong positive correlation with business performance has also been demonstrated by the cultural factor which was a new concept to the paradigm as a whole. This study has broadened the understanding of existing literature on Muslim women entrepreneurship and contributed practical implications to government, policymakers and other related agencies, chambers of commerce, the general public, as well as the Muslim women entrepreneurs themselves.

• Korean Journal of Childcare and Education
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• v.17 no.6
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• pp.53-72
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• 2021

Objective: This study aimed to reveal early childhood teachers' perceptions of teacher competency for ESD using concept mapping and demonstrating its importance. Methods: 16 early childhood teachers in charge of 3-5 year olds conducted statement writing, and then the importance of selected statements were rated by 160 early childhood teachers in charge of 3-5 year olds. Selected statements were analyzed through multidimensional scaling and hierarchical cluster analysis. Results: Early childhood teachers perceived teacher competency for ESD in early childhood as concept mapping with two-dimensions and six clusters. The following six clusters were established (1) ethics for sustainable development, (2) willingness to participate in ESD, (3) development and operation of a sustainable development curriculum, (4) recognition and practice of environmental issues, (5) realization of value for sustainable development, and (6) practical thinking for ESD. And then among the six clusters, the most important cluster was recognized as 'ethics for sustainable development', and among the statements 'having an open mind to understand multiculturalism and the disabled' was considered relatively important Conclusion/Implications: Based on these results, we discussed the importance of teacher competency for ESD in early childhood, development of teacher competency scale, and preparation of a teacher education plans for each competency.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.653-662
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• 2022

Recently, various researches have been made on a fingerprint classification method using Convolutional Neural Networks (CNN), which is widely used for multidimensional and complex pattern recognition such as images. The CNN-based fingerprint classification method can be executed by integrating the two-step process, which is generally divided into feature extraction and classification steps. Therefore, since the CNN-based methods can automatically extract features of fingerprint images, they have an advantage of shortening the process. In addition, since they can learn various features of incomplete or low-quality fingerprints, they have flexibility for feature extraction in exceptional situations. In this paper, we intend to identify the research trends of CNN-based fingerprint classification and discuss future direction of research through the analysis of experimental methods and results.

• The Journal of Bigdata
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• v.6 no.2
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• pp.161-168
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• 2021

In this study, we propose a cardiovascular disease prediction model using machine learning. First, a multidimensional analysis of various differences between the two groups is performed and the results are visualized. In particular, we propose a predictive model using cost-sensitive learning that can improve the sensitivity for cases where there is a high class imbalance between the normal and patient groups, such as diseases. In this study, a predictive model is developed using CART and XGBoost, which are representative machine learning technologies, and prediction and performance are compared for cardiovascular disease patient data. According to the study results, CART showed higher accuracy and specificity than XGBoost, and the accuracy was about 70% to 74%.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.4
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• pp.63-68
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• 2023

Purpose: This study aims to investigate the national obligation of public health support for residents in medically vulnerable areas in Korea, and to propose a suitable model for public health institutions in this region. Research design, data, and methodology: A survey targeting residents was conducted from August 10 to August 17, 2021, with a sample size of 177 general citizens. The survey utilized a structured questionnaire administered online through Google, employing convenience random sampling. After an editing process to ensure data accuracy, the final dataset of 174 valid samples underwent encoding, coding, and cleaning using the IBM SPSS Statistics 22.0 program for analysis. Results: Health status revealed a moderate level, and 63.8% reported having chronic diseases, particularly prevalent among the elderly. External healthcare institutions were commonly utilized, with proximity and competence of doctors being primary reasons. Respondents expressed a need for improving the public health and medical system, emphasizing the establishment of a County Health Centre and expanding medical departments. Conclusions: In this region, the region's unique challenges, including education, employment, population decline, aging, and transportation, require multidimensional efforts and urgent intervention by public entities. Long-term strategies involve considering the establishment of a health and medical institute, adjusting health centre resources to local realities, and fostering a cooperative system for collaboration among residents and institutions.

• Steel and Composite Structures
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• v.49 no.2
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• pp.181-196
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• 2023

Marine structures including offshore wind turbines (OWTs) always work under cyclic loads, which arouses much attention on the fatigue design. The tripod substructure is one of the typical foundation forms for fixed OWTs. The three-planar tubular Y-joint (3Y joint) is one of the important components in fatigue design as it is most likely to have cracks. With the existence of the multiplanar interaction effect, calculating the hot spot stress (HSS) of 3Y joints is complicated. To assist with fatigue design, the distributions of stress concentration factor (SCF) and multiplanar interaction factor (MIF) along weld toe curves induced by the out-of-plane bending moment are explored in this study. An FE analysis method was first developed and verified against experimental results. This method was applied to build a numerical database including 1920 FE models covering common ranges of geometric parameters. A parametric study has been carried out to reveal the distribution patterns of SCF and MIF. After multidimensional nonlinear fittings, SCF and MIF distribution formulas have been proposed. Accuracy and reliability checking prove that the proposed formulas are suitable for calculating the HSS of 3Y joints.

• Spatial Information Research
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• v.13 no.3 s.34
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• pp.239-252
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• 2005

The major reason that spatial data warehousing has attracted a great deal of attention in business GIS in recent years is due to the wide availability of huge amount of spatial data and the imminent need for fuming such data into useful geographic information. Therefore, this research has been focused on designing and implementing the pilot tested system for spatial decision making. The purpose of the system is to predict targeted marketing area by discriminating the customers by using both transaction quantity and the number of customer using credit card in department store. Moreover, the pilot tested system of this research provides OLAP tools for interactive analysis of multidimensional data of geographically various granularities, which facilitate effective spatial data mining. focused on the analysis methodology, the case study is aiming to use GIS and clustering for knowledge discovery. Especially, the importance of this study is in the use of snowflake schema model capabilities for GIS framework.

• Journal of Korean Academy of Nursing
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• v.47 no.2
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• pp.242-256
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• 2017

Purpose: This study was done to clarify attributes, antecedents, and consequences of spirituality. Methods: Rodgers's evolutionary concept analysis was used to analyze fifty seven studies from the literature related to spirituality as it appears in systematic literature reviews of theology, medicine, counseling & psychology, social welfare, and nursing. Results: Spirituality was found to consist of two dimensions and eight attributes: 1) vertical dimension: 'intimacy and connectedness with God' and 'holy life and belief', 2) horizontal dimension: 'self-transcendence', 'meaning and purpose in life', 'self-integration', and 'self-creativity' in relationship with self, 'connectedness' and 'trust' in relationship with others neighbors nature. Antecedents of spirituality were socio-demographic, religious, psychological, and health related characteristics. Consequences of spirituality were positive and negative. Being positive included 'life centered on God' in vertical dimension, and among horizontal dimension 'joy', 'hope', 'wellness', 'inner peace', and 'self-actualization' in relationship with self, 'doing in love' and 'extended life toward neighbors and the world' in relationship with others neighbors nature. Being negative was defined as having 'guilt', 'inner conflict', 'loneliness', and 'spiritual distress'. Facilitators of spirituality were stressful life events and experiences. Conclusion: Spirituality is a multidimensional concept. Unchangeable attributes of spirituality are 'connectedness with God', 'self-transcendence', 'meaning of life' and 'connectedness with others nature'. Unchangeable consequences of spirituality are 'joy' and 'hope'. The findings suggest that the dimensional framework of spirituality can be used to assess the current spiritual state of patients. Based on these results, the development of a Korean version of the scale measuring spirituality is recommended.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.1
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• pp.104-118
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• 1997

Consumers experience various cognitive and emotional contents of clothing through postpurchase process. These experiences may affect consumer satisfaction as well as brand attitude toward clothing products. The purpose of this study was to examine the effects of consumption experiences on the brand attitude toward clothing products. The research questions for accomplishing the purpose of this study were to investigate 1) the dimension of consumption experiences, 2) relationships among consumption experience, satisfaction and brand attitude toward clothing. The sample of this study was consisted of 431 females. The survey method, and factor analysis and regression were utilized for this study. The results were as follows; First, it was found out the consumption was composed of two dimensions such as cognitive and emotional experiences. According to the result of factor analysis, the cognitive experiences through consumption process were composed of 6 factors, that is, the suitability, fitness, utility/economy, sewing, deformation, and management. And emotional experiences were composed of 5 factors, that is, unpleasure, activeycomfort, inter-oriented pleasure, extra- oriented pleasure, tension. Also emotional experiences could be composed of two dimensions, that is, positive and negative emotion. The positive emotions were included pleasure and active/comfort. The negative emotions were included unpleasure and tension. Second, the result of path analysis showed that consumption experiences were related to satisfaction and brand attitude. A satisfaction influenced on brand attitude more strongly than others. And sewing, activejcomfort, extra-oriented pleasure out of cognitive and emotional experience factors affected to brand attitude directly. Satisfaction was also influenced by cognitive and emotional factors, and was the important mediator in forming brand attitude toward clothing through consumption experience. Above results imply that consumer experience multidimensional cognitive and emotional aspects of clothing through consumption process. The cognitive and emotional aspects consisting of consumption experiences, satisfaction, and brand attitude are interrelated causally. Therefore, experience related variables could be the antecedents of satisfaction and brand attitude. The satisfaction and positive emotion could be also important factors in brand attitude toward clothing.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.22
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• pp.9767-9771
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• 2014

Background: Social support is an important factor in psycho-social well-being of cancer survivors. There is little information about level of social support and its predictors among cancer survivors in Iran or other Middle Eastern countries. The aims of present study were to determine the social support and its prediction factors among Iranian cancer survivors. Materials and Methods: In this descriptive-correlational study 187 cancer patients in one educational center and one private oncology office in northwest of Iran participated using a convenient sampling method. The data collection tool consisted of a researcher-prepared checklist and the Multidimensional Scale of Perceived Social Support Assessment (MSPSS). Data analysis was performed using SPSS statistical software with descriptive statistics and multiple linear regression analysis. Results: The total score of MSPSS was 68 from a possible score between 7 and 84. Participants believed that they received a high level of support from their family members and significant others. Multiple linear regression analysis showed that single and depressed cancer survivors and participants with lower levels of physical activity believed that they received lower levels of social support. Conclusions: Iranian cancer survivors receive high levels of social support and family members are the most important source of this support. In planning any supportive care program for Iranian cancer survivors this strength should be considered. Especially, single and depressed and patients with lower levels of physical activity need more attention.