The purpose of this study was to assess the value-of post-operative treatment in terms of nursing care in the allevation of pain. More specifically, the effects of supportive touch and patient education were examined. On the date before each patient's operation, the Bevels of anxiety, depression and affiliation were examined. The post-operative treatment was adminis. tered after an initial measurement of the patient's fain, according to the experimental category for the three days following the operation. On the final day, the level of anxiety and depression were again measured. The subjects of this study were 138 patient from the general surgical and gynecological wards in H university Hospital in Seoul. The study was conducted over a three-month period from June 24, 1984 to September 18, 1984. All patients had undergone laparatomies. Various standard instruments were used to measure the pain, anxiety, depression and affiliation levels. for pain, 5 grate Simple Descriptive Scale, and the Mclachlan four-range Observational Pain Scale were employed. For anxiety and depression, respectively the Spielberger State Anxiety Inventory and Beck Depression Inventory (B.D.I.) were used. Lastly, the affiliation was determined by the Mehrabian Affiliation Scale. The outcome of the research was as follows: 1. The first hypothesis concerning the existence of lower pain levels of Experimental Group A and Experimental Group B than the pain levels of Control Croup C was not supported. 2. The second hypothesis concerning the existence if lower anxiety levels of Experimental Group A and Experimental Group B than the anxiety levels of Control Group C was supported at the level of F=3.58 (p=.03). 3. The third hypothesis concerning the existence of lower depression levels of Experimental Group A and Experimental Group B than the depression levels of Control Group C was not supported. 4. The fourth hypothesis concerning the existence of different levels of pain in accordance with the levels of affiliation in Experimental Group A was not supported. 5. A positive correlation did exist between pain and anxiety after surgery (r=.34, p=.0001). Thus, the fifth hypothesis was supported. 6. A positive correlation did exist between pain and depression following surgery(r=.36, p=.0001). Thus, the sixth hypothesis was supported. Based on the above results, it was found that supportive touch and patient education either through human sources or via tape recorder do influence the anxiety of a patient after surgery, that a Positive correlation between pain, anxiety and deparession exist, that affiliation does not alter the influence of supportive touch, and that the graph on which pain levels were depicted indicates the possibility of development even if the effects of supportive touch did not reach a meaningful level. Thus it can be concluded that patient education, regardless of its form, is essential for the patient after surgery and that supportive touch, when reasonably modified and supplemented, can be an effective method of alleviating pain.
The purpose of this study was to discuss the relationship between Korean people's normative sense of the traditional filial piety and their affiliation with relatives. For this purpose, the researcher reviewed ethics books during the Chosun dynasty such as Naehoon Women's Ethics), Dongmongsonsup (Children's Cardinal Moral Principles) ,Kyokmongyokyol (Juvenile's Learning) and Gyuenyoso (Instructions for Daughters of Marriageable Age), Based on this review a questionnaire was designed. For the survey,566 returned questionnaires from married people between their 20's and 70's living in Seoul and Wonju Si were sampled The collected data were analyzed using the SAS program for means and SDs of each area in order to examine the overall tendency, and were subject to one-way ANOVA to determine the relationship between their normative sense of the traditional filial piety and their affiliations with relatives depending on their demographic variables, In addition to this correlation analysis, the data underwent regression analysis to determine the significant factors affecting the subjects' sense of filial piety and their affiliation with relatives. The results of this study can be summarized as follows ; First, the subjects were found to have a normal or higher sense of filial piety in overall terms, which suggests that the Korean morality of filial piety may be positive. In particular, the subjects' sense of filial piety was higher for living parents than for dead ones. Namely, they wanted to give more respect, honor and support to their parents than give a cordial funeral or memorial service to deceased parents. Second, older Koreans were more aware of filial piety, and men were more conscious of filial piety than women. Buddhists or atheists tended to be more faithful to their parents. Generally, those with lower academic background and living with larger families had a higher normative sense of filial piety. On the other hand, those in their 60's and 70's were most affiliated with their relatives, while youth and middle-aged people were less affiliated with their relatives. Men were more affiliated with their relatives than women, and first sons or daughters were more affiliated with their relatives. Besides, those living with larger families were more affiliated with their relatives. Third, the subjects' normative sense of filial piety, particularly for deceased parents, was highly correlated with their affiliation with relatives, and such a normative sense of filial piety was most conspicuous in their funeral rites.
In this paper, we propose an activity-performer bipartite matrix generation algorithm for analyzing workflow-supported human-resource affiliations in a workflow model. The workflow-supported human-resource means that all performers of the organization managed by a workflow management system have to be affiliated with a certain set of activities in enacting the corresponding workflow model. We define an activity-performer affiliation network model that is a special type of social networks representing affiliation relationships between a group of performers and a group of activities in workflow models. The algorithm proposed in this paper generates a bipartite matrix from the activity-performer affiliation network model(APANM). Eventually, the generated activity-performer bipartite matrix can be used to analyze social network properties such as, centrality, density, and correlation, and to enable the organization to obtain the workflow-supported human-resource affiliations knowledge.
Proceedings of the Korean Society of Propulsion Engineers Conference
/
2008.03a
/
pp.218-225
/
2008
When the heat release and acoustic pressure fluctuations are generated in the combustor by irregular combustion, these fluctuations affect the mass flow rate of the propellants injected through the injectors. Also, the variations of the mass flow rate by these fluctuations again bring about irregular combustion and furthermore that is related with combustion instability. Therefore, it is very important to identify the mass variation for the pressure fluctuation on the injector and to investigate its transfer function. So, we first have studied quantifying the variation of mass flow rate generated in simplex swirl injector by injection pressure fluctuation. To acquire the transient mass flow rate in orifice with time, we have tried to measure of the flow axial velocity and liquid film thickness in orifice. The axial velocity is acquired through theoretical approach after measuring the pressure in orifice and the flow area in the orifice is measured by electric conductance method. As results, mass flow rate calculated by axial velocity and liquid film thickness measuring in orifice accorded with mass flow rate acquired by direct measuring method in the small error range within 1 percents in steady state and within 6 percents as average mass flow rate in pulsated state. Hence this method can be used to measure the mass flow rate not only in steady state but also in unsteady state because the mass flow rate in the orifice can acquire with time and this method shows very high accuracy based on the experimental results.
The purpose of this study was to examine the mediating effect of alcohol abstinence self-efficacy in the relationship between the Alcoholics Anonymous affiliation and alcohol recovery. For these purposes, this study recruited 554 abstinent alcoholics participating in Alcoholics Anonymous. Based on structural equational modeling, the results can be summarized as follows: the relationship between the Alcoholics Anonymous affiliation and alcohol recovery was partially mediated by alcohol abstinence self-efficacy. In particular, age difference was found in the mediating relationship. Based on the findings, implications on practice and future research directions are discussed.
SHEIKH, Muhammad Fayyaz;BHUTTA, Aamir Inam;SULTAN, Jahanzaib
The Journal of Asian Finance, Economics and Business
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v.6
no.3
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pp.305-313
/
2019
The study examines whether higher CEO compensation is related to unobserved future firm performance in an emerging market, Pakistan. Further, it extends its scope to analyzing the impact of group affiliation and ownership concentration on the relationship between CEO compensation and future firm performance. The study uses an unbalanced panel data consisting of 1508 firm-year observations from 225 non-financial listed companies in Pakistan Stock Exchange (PSX) for period 2005 to 2012. The multiple regression models adjusted to heteroskedasticity and autocorrelation in error terms are used. The study finds that, in general, CEO compensation is positively associated with future operating performance. However, higher CEO compensation leads to lower operating performance in firms that have lower ownership concentration and are affiliated with business groups. When firms are not affiliated with any group and have high ownership concentration, the relationship between excessive CEO compensation and future operating performance becomes insignificant. Given that efficient compensation packages may lead to long term value creation to shareholders and reduce agency problems, this study highlights an important moderating role of ownership concentration and group affiliation of the firms in emerging markets.
The purpose of this study is to examine a potential association between community factors and the establishment of Local Healthy Family Support Centers (LHFSCs). Community factors were population size, community size, local finance independency, number of workplaces per 1,000 people, number of colleges, political party affiliation of mayor, and political party affiliation of congressman. Data of this study were collected from the census indicators of 222 communities from 2004 to 2014 and analyzed by frequency, mean, geographical information system mapping, and the binary logit analysis. The results of this study are as follows. First, LHFSCs are less likely to be established in communities in the provinces of Gangwon, Chungbuk, and Gyeongbuk. Second, the population size was positively related to the establishment of LHFSCs. Third, finance independency was positively associated with the establishment of LHFSCs. Forth, a mayor was more likely to establish LHFSCs if they were affiliated with the ruling conservative political party. However, the establishment of LHFSCs was not affected by other factors such as community scale, number of workplaces per 1,000 people, the number of colleges, and party affiliation of congressman. Thus, the conclusion suggests family policy implications to improve the geographical imbalance of LHFSCs based on the analysis results.
In this paper we propose an algorithm for generating role-performer bipartite matrix for analyzing BPM-based human resource affiliations. Firstly, the proposed algorithm conducts the extraction of role-performer affiliation relationships from ICN(Infromation Contorl Net) based business process models. Then, the role-performer bipartite matrix is constructed in the final step of the algorithm. Conclusively, the bipartite matrix generated through the proposed algorithm ought to be used as the fundamental data structure for discovering the role-performer affiliation networking knowledge, and by using a variety of social network analysis techniques it enables us to acquire valuable analysis results about BPM-based human resource affiliations.
Purpose - An appreciable number of small- and medium-sized exporters have continuously succeeded in their export marketplaces even though they do not possess enough resources. Advocating that affiliation with an export service-provider plays an important role in this phenomenon, we aimed to theoretically explain how export service providers' competences and relational factors drive small- and medium-sized exporters' competitive advantages in the long-run. Design/methodology - Drawing prominently on the resource-based view and the relationship-marketing theory, we built an empirically testable model. The model showed the roles of exporter capabilities, export service-provider competences, and relational factors on small- and medium-sized exporters' sustainable competitive advantages. Findings - The results of our research showed that exporter production and branding capabilities positively influenced their sustainable competitive advantage. In addition, export service-providers' marketing competence and relationship-building competence positively moderated the effects of exporter capabilities on their parties' sustainable competitive advantages. Finally, affiliation parties' interfirm trust and relationship commitment positively moderated the effects of export service-provider competence on the relationship between exporter capabilities and sustainable competitive advantages. Originality/value - Although prior studies have highlighted the effects of an exporter's resources on export performance, our research filled a knowledge gap of the effects of other resources on export performance. First, we proposed two types of export service-provider, competence marketing and relationship-building, influencing exporters' competitive advantage. Second, the effects of relational factors were proposed in the context of export affiliations.
Muhammad Javed;Kiran Hanif;Arslan Ali Raza;Syeda Maryum Batool;Syed Muhammad Ali Haider
International Journal of Computer Science & Network Security
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v.24
no.5
/
pp.217-223
/
2024
The current study aimed to evaluate the effectiveness of using Support Vector Machine (SVM) for political affiliation classification. The system was designed to analyze the political tweets collected from Twitter and classify them as positive, negative, and neutral. The performance analysis of the SVM classifier was based on the calculation of metrics such as accuracy, precision, recall, and f1-score. The results showed that the classifier had high accuracy and f1-score, indicating its effectiveness in classifying the political tweets. The implementation of SVM in this study is based on the principle of Structural Risk Minimization (SRM), which endeavors to identify the maximum margin hyperplane between two classes of data. The results indicate that SVM can be a reliable classification approach for the analysis of political affiliations, possessing the capability to accurately categorize both linear and non-linear information using linear, polynomial or radial basis kernels. This paper provides a comprehensive overview of using SVM for political affiliation analysis and highlights the importance of using accurate classification methods in the field of political analysis.
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