scholarly journals Qualitative Analysis of the Hwa-byung Recovery Process and Influencing Factors

2014 ◽  
Vol 25 (4) ◽  
pp. 359-370 ◽  
Author(s):  
Seung-Yeon Song ◽  
Jong-Woo Kim ◽  
Sun-Yong Chung
Keyword(s):  
Qualitative Analysis ◽  
Influencing Factors ◽  
Recovery Process

scholarly journals Longing for Independence, Yet Depending on Family Support: A Qualitative Analysis of Psychosocial Adaptation of Iranian International Students in Hungary

2019 ◽  
Vol 8 (4) ◽  
pp. 164
Author(s):  
Sara Hosseini-Nezhad ◽  
Saba Safdar ◽  
Lan Anh Nguyen Luu
Keyword(s):  
International Students ◽  
Qualitative Analysis ◽  
Family Support ◽  
Influencing Factors ◽  
Thematic Analysis ◽  
Psychosocial Adaptation ◽  
Intercultural Interactions ◽  
Iranian Students ◽  
Depth Interviews ◽  
Intercultural Experiences

International students experience psychosocial changes in response to their new environment, and their psychosocial adaptation is facilitated or hindered by various factors. This study aimed to examine the intercultural experiences of Iranian international students in Hungary. In-depth interviews were conducted with 20 Iranian students in Budapest, Hungary, and a thematic analysis employed to discern and interpret themes within the data. The thematic analysis identified three overarching themes: (1) Sojourn’s Experience as Self-Growth, (2) Uncertainty in Intercultural Interactions, and (3) Striving for Autonomous-Related Self. The data reported that Iranian students experienced more happiness in Hungary than sadness, and their motivation to live independently in Hungary while depending on family support acted as buffers against any negative psychological feelings. The findings of this study underline the significance of independence and family support as the influencing factors for psychosocial adaptation of Iranian students.

A novel approach of fault-influencing factors analysis for high-voltage switchgears quality supervision based on industrial big data

2019 ◽  
Vol 233 (14) ◽  
pp. 2531-2546 ◽  
Author(s):  
Xianguang Kong ◽  
Jiantao Chang ◽  
Pei Wang ◽  
Siyi Gong ◽  
Yabin Shi ◽  
...  
Keyword(s):  
Big Data ◽  
Qualitative Analysis ◽  
Influencing Factors ◽  
High Voltage ◽  
Occurrence Probability ◽  
Analysis Method ◽  
Factors Analysis ◽  
Industrial Big Data ◽  
Discrete Interval ◽  
Interval Value

Fault-influencing factors analysis is an important part of the quality supervision process. There are double functions for high-voltage switchgears that switch off and protect electric circuits in power transmission lines. Such devices have serious impact on power grid–operating efficiency, factory operation, and resident life, which will cause economic losses. As it was difficult for traditional methods to analyze fault-influencing factors accurately and comprehensively, a novel method based on industrial big data was proposed to analyze high-voltage switchgears fault-influencing factors in the process of quality supervision in this article, which integrated the qualitative and quantitative analyses method. In this model, the Classification Based on Multiple Class-Association Rules based on Gaussian Mixture Model as the qualitative analysis method was adapted to analyze the whole life cycle of fault-influencing factors of high-voltage switchgears comprehensively, and supplied fault-influencing factors with discrete interval value ranges. The logistic regression method based on qualitative analysis was constructed to calculate fault occurrence probability quantitatively, including the single-fault occurrence probability and the multiple-faults joint occurrence probability. In addition, the single-fault occurrence probability was used to modify the discrete interval value ranges calculated by the qualitative analysis method, which could make the ranges more accurately. Consequently, the proposed method could provide important reference for high-voltage switchgears operation maintenance, and it would be possible to design accurate maintenance plans before equipment failure. The final instance demonstrates the effectiveness of the proposed methodology.

The Application of the Complete Decomposition Model in Analyzing the Incontrollable Construction Cost

2011 ◽  
Vol 368-373 ◽  
pp. 2369-2375
Author(s):  
Li Fang ◽  
Xin Ma
Keyword(s):  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Influencing Factors ◽  
Cost Management ◽  
Construction Cost ◽  
Unit Price ◽  
Construction Stage ◽  
Complete Decomposition ◽  
Decomposition Model ◽  
Main Effects

At present, the main methods of analyzing the reasons why construction cost always got out of control are qualitative analysis based on the practical construction experiences in the construction cost management. And these analyses were easily affected by subjective factors. By introducing a complete decomposition model, the influencing factors of the incontrollable construction cost in the construction stage can be decomposed to the effect of quantity changes and the effect of unit price changes of each kind of construction. A quantitative analysis will be carried on subsequently to analyzing these effects to find the main effects of the whole construction cost changes. This model made the analysis more objective and scientific, and can accumulate the data for new or planned similar constructions. To illustrate, the decomposition on construction cost changes of a small civil project is carried out.

Analysis of Factors Influencing the Development of Medical E-Commerce Based on ISM

2013 ◽  
Vol 444-445 ◽  
pp. 1612-1619
Author(s):  
Guo Gang Li ◽  
Jing Kong ◽  
Zhe Yin
Keyword(s):  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Influencing Factors ◽  
Theoretical Foundation ◽  
Structural Modeling ◽  
Hierarchical Relationship ◽  
Factors Influencing ◽  
Full Investigation

The development of medical E-commerce is facing many challenges and constraints from government, businesses, individuals and other aspects. This paper, on the basis of the full investigation, elaborates Interpretative Structural Modeling (ISM) to make qualitative analysis. The modeling shows a clear hierarchical relationship between the various influencing factors and differentiates the surface factors, shallow factors, middle factors and underlying factors to expect to provide some suggestions for the development of medical E-commerce, and also lay the theoretical foundation for the quantitative analysis.

scholarly journals Experiences of Burnout Syndrome and the Process of Recovery : A Qualitative Analysis of Narratives Published in Autobiographies

2021 ◽  
Vol 16 (1) ◽  
pp. 20-37
Author(s):  
Jaana Krantz ◽  
Madelen Eriksson ◽  
Martin Salzmann-Erikson
Keyword(s):  
Qualitative Analysis ◽  
Family Life ◽  
Recovery Process ◽  
Work Capacity ◽  
Burnout Syndrome ◽  
Family And Work ◽  
Analysis Of Narratives

Burnout syndrome limits work capacity and the ability to manage a social and family life. Such limitations may lead to alienation from oneself and can result in frustration and anger. The recovery process may include a search for quick fixes from professionals but responsibility is in the hands of the ill with support from professionals, family, and work. Learning about limitations, the need to rest and accepting illness, are vital in the recovery process, but they are also associated with feelings of shame and blaming oneself for causing one’s own burnout by neglecting bodily signals.

Grey Comprehensive Relational Analysis of Influencing Factors of Communication Equipment Fighting Efficiency

2013 ◽  
Vol 765-767 ◽  
pp. 2469-2473
Author(s):  
Hai Xia Yu ◽  
Guang Dong Liang ◽  
Xian Jun Gao ◽  
Hong Chun Zhang
Keyword(s):  
Qualitative Analysis ◽  
Influencing Factors ◽  
Communication System ◽  
Practical Application ◽  
Early Communication ◽  
Relational Analysis ◽  
Grey Relational Grade ◽  
Grey Relational ◽  
Communication Equipment ◽  
Selection Of

The paper introduced grey comprehensive relational grade into transverse analysis and compare for several similar communication equipments. By analyze the grey relational principle, the relational coefficient, the selection of the distinguishing coefficient and studying several relational grades, the grey comprehensive relational grade is successfully applied to analysis of communication equipment fighting efficiency .Results of the practical application show that the method based on the comprehensive grey relational grade analysis has the advantages of simplified computation and feasible, consistency to the qualitative analysis result ,It can provides theoretical guidance for targeted maintenance of the equipment and improve and increase rapidly fighting efficiency of airborne early communication system in war.

scholarly journals Multi-Conflicts between the Government, the Non-Profit Organisation and the People after a Serious Landslide Disaster Based Upon Qualitative Analysis

2019 ◽  
Vol 11 (7) ◽  
pp. 2175
Author(s):  
Min-Ta Chuang
Keyword(s):  
Qualitative Analysis ◽  
Recovery Process ◽  
Non Profit ◽  
Proper Actions ◽  
Leading Role ◽  
The People ◽  
Speed Up ◽  
The Common ◽  
The Government

Due to the increasing number of intensified extreme events, post-recovery has become a serious challenge worldwide. The common issues faced during the recovery process are fragmentation and coordination problems, the lack of capacity and commitment and the variations in recovery. This study explores the conflicts between various stakeholders via NVivo, based upon the recovery process in Typhoon Morakot. A qualitative analysis was conducted with the software NVivo 10; the findings showed the following: the stakeholders include the government t, the non-profit organisations (NPOs) (mainly charity funds) and the people. For short-term sheltering and long-term settlement, the government plays the leading role in the rebuilding work, supported by NPOs. However, this study discovers that people are disappointed with the government’s rebuilding efforts. As a result, people opt to self-rescue management. Furthermore, the supplementary NPOs sometimes play leading roles in the rebuilding, resulting in conflicts between people. Overall, the government does not take quick and proper actions, resulting in the delay of the rebuilding progress and the dilemma of role misallocation of various stakeholders. As a whole, post-disaster recovery should take the local victims’ preferences into consideration and this might be helpful to speed up the recovery process.

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