• Korean Journal of Adult Nursing
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• v.14 no.2
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• pp.174-183
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• 2002

Purpose: The purpose of this study was to determine the effect of nurses' pain experience on the inference of their patients' suffering. Method: Study subjects were sampled from 184 nurses who worked in general wards in one S university hospital located at Seoul. Nurses' pain experience consists of personal pain experience and professional pain experience. The Standard Measure of Inference of Suffering (Davitz & Davitz, 1981) was used for suffering inference measure, and patients' suffering which consists of physical pain and psychological distress. Result: Suffering inference scores of nurses without personal pain experience revealed a higher value than that of nurses with personal pain experience. But these differences were not statistically significant. The higher intense pain was experienced, the higher were suffering inference scores. This physical pain inference score was statistically significant(p=.044). Of the nurses who had personal pain experience, suffering inference scores of nurses with unrelieved pain experience revealed a higher value than that of nurses with relieved pain experience. Physical pain and psychological distress inference scores were statistically significant(p=.010, p=.006). Suffering inference scores of nurses without professional pain experience(internal medicine, general surgery, orthopedic surgery) revealed a higher value than that of nurses with professional pain experience. Professional pain experience of internal medical illness was statistically significant in psychological distress of internal medical illness(p=.044), and professional pain experience of orthopedic surgical illness was statistically significant in physical pain of orthopedic surgical illness(p=.027). Conclusion: Nurses who have experienced low pain intensity or good pain relief are inclined n to underestimate patient' pain. Although nurses who care for the same patient over a long time deal skillfully with that patient, nurses are inclined to underestimate that patients' pain. Nurses need to be aware of possible biases related to pain assessment as a result of pain experience.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.355-357
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• 2004

In this paper, to calculate accurate remaining volume, it presents how to figure out nickel-cadmium battery algorithm. A nickel-cadmium battery has widely been used in industrial field and to military. Recent high demands on the battery caused 'How to calculate accurate remaining volume is very important task to be solved. In this paper, it says it is useful using the terminal voltage change of the resistance that can be connected with the battery and the differentiation of the terminal voltage to calculate remaining volume of nickel-cadmium battery. And these can be used for volume inference data so that it is fuzzy based system which can be helpful to inference the remaining volume by the resistance of terminal voltage change. Because of electrochemical complexity, the volume calculating system is inferencing undirectly by experimentally built DB where as current the existing volume models are suffering to be adapted.

• Honam Mathematical Journal
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• v.29 no.1
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• pp.83-100
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• 2007

Normality is one of the most common assumptions made in sampling and statistical inference procedures without suffering from lack of attention. Its results may lead to an invalid conclusion. We present several testing procedures that can be used to evaluate the effects of departure from normality using concrete examples by hand or with the aid of Minitab. The goal is to influence prospective teachers in order to learn statistical concepts and techniques for testing normality on the basis of the didactical theory.