• Journal of Korean Elementary Science Education
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• v.26 no.5
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• pp.489-498
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• 2007

This study focuses on surveying and examining the beliefs of elementary pre-service and in-service teachers about science and science education. The instrument consisted of 21 items about science and science education on a 5-Likert scale(score range from 1 to 5). The one contained science knowledge and scientific invention, and the other contained science teacher, learning science and science learning and teaching. Data were collected from 76 pre-service and 96 in-service elementary teachers(24 male and 148 female). The elementary pre-service and in-service teachers had higher level belief about that science knowledge should be acquired by sequential scientific process, the beliefs of in-service teachers was more explicit than those of pre-service teachers. They had beliefs to educate learners by providing scientific joyfulness and sequential scientific process. But, in-service teachers had difficulties to perform scientific process-based activities. It is necessary to provide scientific experiences to understand the nature of science in pre-service and in-service programs.

• Journal of Information Processing Systems
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• v.13 no.6
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• pp.1496-1515
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• 2017

One of the most visible developments in Decision Support Systems (DSS) was the emergence of rule-based expert systems. Hence, despite their success in many sectors, developers of Medical Rule-Based Systems have met several critical problems. Firstly, the rules are related to a clearly stated subject. Secondly, a rule-based system can only learn by updating of its rule-base, since it requires explicit knowledge of the used domain. Solutions to these problems have been sought through improved techniques and tools, improved development paradigms, knowledge modeling languages and ontology, as well as advanced reasoning techniques such as case-based reasoning (CBR) which is well suited to provide decision support in the healthcare setting. However, using CBR reveals some drawbacks, mainly in its interrelated tasks: the retrieval and the adaptation. For the retrieval task, a major drawback raises when several similar cases are found and consequently several solutions. Hence, a choice for the best solution must be done. To overcome these limitations, numerous useful works related to the retrieval task were conducted with simple and convenient procedures or by combining CBR with other techniques. Through this paper, we provide a combining approach using the multi-criteria analysis (MCA) to help, the traditional retrieval task of CBR, in choosing the best solution. Afterwards, we integrate this approach in a decision model to support medical decision. We present, also, some preliminary results and suggestions to extend our approach.

• Asia Pacific Journal of Corpus Research
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• v.2 no.2
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• pp.17-29
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• 2021

The current study explores small corpora of critiques written by Chinese and non-Chinese university students and how strategies used by these writers compare with high-rated L1 students. Data collection includes three small corpora of student writing; 20 student critiques in 2017, 23 student critiques from 2018, and 23 critiques from the online Michigan MICUSP collection at the University of Michigan. The researchers employ Text Inspector and Lexical Complexity to identify university students' vocabulary knowledge and awareness of syntactic complexity. In addition, WMatrix4® is used to identify and support the comparison of lexical and semantic differences among the three corpora. The findings indicate that gaps between Chinese and non-Chinese writers in the same university classes exist in students' knowledge of grammatical features and interactional metadiscourse. In addition, critiques by Chinese writers are more likely to produce shorter clauses and sentences. In addition, the mean value of complex nominal and coordinate phrases is smaller for Chinese students than for non-Chinese and MICUSP writers. Finally, in terms of lexical bundles, Chinese student writers prefer clausal bundles instead of phrasal bundles, which, according to previous studies, are more often found in texts of skilled writers. The current study's findings suggest incorporating implicit and explicit instruction through the implementation of corpora in language classrooms to advance skills and strategies of all, but particularly of Chinese writers of English.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.33-40
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• 2009

We study Interpreted Systems, ATL, and ATEL to capture the notion of time, knowledge, and strategy which are important in the analysis of multi-agent systems and propose strategic constraints based on subgame perfect Nash equilibrium of game theory as one of the solutions for the issues of ATEL which an agent can access the current state of the whole system when making up his strategy even when he should be uncertain about the state, and no explicit representation of actions in ATEL models makes some natural situations harder to model. Also, we present strategic constraints-based Interpreted Systems for model checking of multi-agent systems.

• Korean Journal of Cognitive Science
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• v.16 no.1
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• pp.29-52
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• 2005

This study was carried out to examine whether children had the naive psychological knowledge that the mental states ate requited to understand the intentional actions, whether their psychological knowledge was organized as a theory, and in what aspects the knowledge changed as children get older. Three- to 11-year-olds were presented with two types of tasks. In action explanation tasks, children were presented with simple descriptions of two characters engaging in specific actions and then asked to explain the characters' action. In action prediction tasks, they were told stories depicting a character's desire and belief and then asked to predict the action of the character. Three-year-olds explained the action in terms of abstract construct such as emotion, intention, and desire, and they predicted the character's action on the basis of her/his desire and explicit belief but not on the basis of inferred false belief and traits. In addition when they were asked to explain one mental state, they explained in terms of other mental states, suggesting the coherence of their knowledge. The present results suggested that even 3-year-olds' psychological knowledge was organized as a theory, in that it was used as a causal device in explaining and predicting human actions, and it had abstractness and coherence. Older children's knowledge was different from 3-year-olds' in that older children explained the action in terms of more complicated mental states such as beliefs and traits. The nature of the developmental change in psychological knowledge was discussed.

• Journal of Korean Academy of Nursing
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• v.24 no.4
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• pp.616-622
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• 1994

Precise concept analysis has been neglected be-cause of a lack of understanding of its necessity and a lack of conceptual analytic knowledge. Concept analysis is the mental work of examining parts, phenomenon and the interrelated whole of a thing. Focus in this article is to extract the critical attributes of hardiness and make an operational delinition. The process of concept analysis is illustrated and documented using the analytic approach described by Walker and Avant (1983). To explore the explicit or implicit meanings of hardiness, existing literature was reviewed. The evolution of hardiness and the dictionary definitions were also added. Hardiness can be defined as follows : A condition of being inured to fatigue or hardship which has three subcomponents-challenge, control and commitment. Critical attributes of hardiness were extracted that may be used in naming the occurrence of the phenomenon. Model case, contrary case, borderline case and related case were described. Antecedents and consequences were explored. The defining critical attributes of hardiness are : 1. Resistance-hardiness involves resistance of stress or hardship. 2. Hardiness involves appraisal of change as a chance. 3. Hardiness implies interpretation of events and self as influential,. 4. Hardiness requires active involving reaction Implications for nursing and for further study are added.

• Proceedings of the KIEE Conference
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• 1989.07a
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• pp.195-201
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• 1989

Voltage collapse is a serious concern to the electirc utility industry. It is common to associate steady-state stability with the ability of the transmission system to transport real power and to associate voltage collapse with the inability to provide reactive power at the necessary locations within the system. An algorithm to directly calculate the critical point of system voltage collapse was presented by the authors. The method (based on the ordinary power flow equations and explicit requirement of singularity of the Jacobian matrix) is basically one degree of freedom with proper load distribution factors. This paper suggests a modified algorithm to increase the degree of freedom, introducing the nonlinear programming technique. The objective function is a distance measure between the present operating point and the closest voltage collapse point. Knowledge of the distance and the most vulnarable bus from the voltage collapse point of view may be used as a useful index for the secure system operation.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.35-38
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• 2002

In this paper, the design of explicit rate-based congestion control in high speed communication networks is considered. The goal of congestion control is to achieve high link utilization, low packet loss, low delay, and fairness among the best-effort sources. To deal with the propagation delays associated with the best effort sources, An MPC technique is employed to solve the congestion problem[1] here. However, the problem with this method is that the closed loop performance relies highly on the knowledge of average service rate. This paper focuses on coping with the problem described above by using a CARIMA model for service rate(available rate).

• The Korean Journal of Nuclear Medicine
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• v.35 no.4
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• pp.224-230
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• 2001

EBM is "the conscientious, explicit and judicious use of current best evidence in mating decisions about the care of the individual patient. It means integrating individual clinical expertise with the best available external clinical evidence from systematic research." EBM is the integration of clinical expertise, patient values, and the best evidence into the decision making process for patient care. The practice of EBM is usually triggered by patient encounters which generate questions about the effects of therapy, the utility of diagnostic tests, the prognosis of diseases, or the etiology of disorders. The best evidence is usually found in clinically relevant research that has been conducted using sound methodology. Evidence-based medicine requires new skills of the clinician, including efficient literature-searching, and the application of formal rules of evidence in evaluating the clinical literature. Evidence-based medicine converts the abstract exercise of reading and appraising the literature into the pragmatic process of using the literature to benefit individual patients while simultaneously expanding the clinician's knowledge base. This review will briefly discuss about concepts of evidence medicine and method of critical appraisal of literatures.

• STI Policy Review
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• v.1 no.2
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• pp.69-88
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• 2010

This paper explores the determinants of the innovation impact of publicly funded R&D projects along three broad dimensions, namely project, firm and market-related factors. In addition to these factors we examine the attributes of the research result per se and aspects of the commercialization process. The observations from empirical and qualitative analyses are based on R&D projects funded by the Fifth and Sixth Research Framework Programmes of the European Union. Firm size, prior experience, innovation culture, the nature of the project itself, explicit intension to commercialize, consortium management and strategy are the factors with the strongest effect on project success, defined in terms of product/process innovation and/or technical knowledge creation. The paper provides important implications for the organization, objectives, and management of public programmes that fund R&D and for project and participant selection.