• Journal of Oral Medicine and Pain
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• v.30 no.4
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• pp.383-389
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• 2005

Xerostomia is defined as a subjective complaint of dry mouth that may be perceived when there is insufficient mucosal wetting. However, the diagnosis and treatment of xerostomia is not that simple because of the fact that the subjective awareness of dry mouth is not always correlated with a diminution in the flow of saliva and there is always a difference between individuals in salivary flow rates needed for normal oral function. In the present study, the aim was to develop a questionnaire to evaluate the dry mouth symptoms and to analyze its reliability and usability as a diagnostic and analytic tool for xerostomia. The questionnaire which consists of 6 Visual Analogue Scale(VAS) type questions to evaluate the subjective oral dryness and 4 questions to evaluate behavior to avoid oral dryness was developed and administered twice with 1 week's interval to the healthy 88 young adults without dry mouth symptoms(44 males and 44 females; mean age was $25.6{\pm}3.1$ years in male and $24.3{\pm}2.1$ years in female). The results were as follows. 1 The intraclass correlation coefficients of 6 questions to evaluate the subjective oral dryness were as significantly high as 0.767 for the degree of oral dryness at other times of the day, 0.850 for the amount of saliva in the mouth, and 0.791 for the degree of effect on daily life due to oral dryness and as high as 0.563 for the degree of oral dryness at night or on awakening, 0.674 for the degree of oral dryness during eating, and 0.641 for the degree of difficulty in swallowing foods. 2. Cronbach's alpha value of 6 questions was 0.982. It can be concluded that the series of questions to evaluate the subjective oral dryness has high internal consistency. 3. Cohen's kappa values of 4 questions to evaluate behavior to relieve oral dryness were as significantly high as 0.850 for the frequency of keeping a glass of water at the bedside and as high as 0.506 the frequency of awakening during sleeping due to oral dryness, 0.419 for the frequency of sipping liquids to aid in eating dry foods, and 0.407 for the frequency of using a candy or chewing gum due to oral dryness. From the results, it can be concluded that the questionnaire consisting of 6 VAS type questions to evaluate the subjective oral dryness and 4 questions to evaluate behavior to relieve oral dryness has reliability of good to excellent level, and that the series of 6 VAS type questions has significantly high internal consistency to evaluate the subjective oral dryness.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.99-118
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• 2015

Object-oriented programming languages have been widely selected for developing modern information systems. The use of concepts relating to object-oriented (OO, in short) programming has reduced efforts of reusing pre-existing codes, and the OO concepts have been proved to be a useful in interpreting system requirements. In line with this, we have witnessed that a modern conceptual modeling approach supports features of object-oriented programming. Unified Modeling Language or UML becomes one of de-facto standards for information system designers since the language provides a set of visual diagrams, comprehensive frameworks and flexible expressions. In a modeling process, UML users need to consider relationships between classes. Based on an explicit and clear representation of classes, the conceptual model from UML garners necessarily attributes and methods for guiding software engineers. Especially, identifying an association between a class of part and a class of whole is included in the standard grammar of UML. The representation of part-whole relationship is natural in a real world domain since many physical objects are perceived as part-whole relationship. In addition, even abstract concepts such as roles are easily identified by part-whole perception. It seems that a representation of part-whole in UML is reasonable and useful. However, it should be admitted that the use of UML is limited due to the lack of practical guidelines on how to identify a part-whole relationship and how to classify it into an aggregate- or a composite-association. Research efforts on developing the procedure knowledge is meaningful and timely in that misleading perception to part-whole relationship is hard to be filtered out in an initial conceptual modeling thus resulting in deterioration of system usability. The current method on identifying and classifying part-whole relationships is mainly counting on linguistic expression. This simple approach is rooted in the idea that a phrase of representing has-a constructs a par-whole perception between objects. If the relationship is strong, the association is classified as a composite association of part-whole relationship. In other cases, the relationship is an aggregate association. Admittedly, linguistic expressions contain clues for part-whole relationships; therefore, the approach is reasonable and cost-effective in general. Nevertheless, it does not cover concerns on accuracy and theoretical legitimacy. Research efforts on developing guidelines for part-whole identification and classification has not been accumulated sufficient achievements to solve this issue. The purpose of this study is to provide step-by-step guidelines for identifying and classifying part-whole relationships in the context of UML use. Based on the theoretical work on Meta-model Formalization, self-check forms that help conceptual modelers work on part-whole classes are developed. To evaluate the performance of suggested idea, an experiment approach was adopted. The findings show that UML users obtain better results with the guidelines based on Meta-model Formalization compared to a natural language classification scheme conventionally recommended by UML theorists. This study contributed to the stream of research effort about part-whole relationships by extending applicability of Meta-model Formalization. Compared to traditional approaches that target to establish criterion for evaluating a result of conceptual modeling, this study expands the scope to a process of modeling. Traditional theories on evaluation of part-whole relationship in the context of conceptual modeling aim to rule out incomplete or wrong representations. It is posed that qualification is still important; but, the lack of consideration on providing a practical alternative may reduce appropriateness of posterior inspection for modelers who want to reduce errors or misperceptions about part-whole identification and classification. The findings of this study can be further developed by introducing more comprehensive variables and real-world settings. In addition, it is highly recommended to replicate and extend the suggested idea of utilizing Meta-model formalization by creating different alternative forms of guidelines including plugins for integrated development environments.