• The Journal of the Korean dental association
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• v.53 no.11
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• pp.779-788
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• 2015

Individuals with special needs include those with behavioral issues, developmental disorders, cognitive disorders, congenital or genetic disorders, or systemic disease. These conditions may place them at increased risk for oral diseases. Dental management of patients with special needs require in-depth understanding of the background of disability and available behavioral guidance theories. Therefore dental team members need more training in the theory and practice of behavior management principles, which might lead to a clinical experience that is more respectful of the dignity and independence of patients with special needs. The dental professional should be flexible to modify the behavior management approach according to the individual patients needs. Also a family/care-giver centered approach based on their preferences and concerns, the patient's challenging behaviors, and related medical problem can serve to improve the treatment planning and oral health management of dental patients with special needs. This article focuses on uncooperative behavior and behavior management, which help practicing dentists to understand their role in the care of patients with special needs.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4199-4204
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• 2016

Cancer is a complex disease caused by a progressive accumulation of multiple genetic mutations. Consumption of fruits is associated with lower risk of several cancers, which is mainly associated to their phytochemical content. The use of functional foods and chemopreventive compounds seems to contribute in this process, acting by mechanisms of antioxidant, anti-inflammatory, anti-angiogenic and hormonal. The Psidium Guajava has high potential functional related to pigments who are involved in the process of cancer prevention by having antioxidant activity. The aim of the present review is to expose some chemical compounds from P. Guajava fractions and their association with anti-carcinogenic function. The evidences supports the theory of anticancer properties of P. Guajava, although the mechanisms are still not fully elucidated, but may include scavenging free radicals, regulation of gene expression, modulation of cellular signalling pathways including those involved in DNA damage repair, cell proliferation and apoptosis.

• Nuclear Engineering and Technology
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• v.33 no.5
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• pp.457-467
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• 2001

It is well known that the performance of a fuzzy neural network strongly depends on the input features selected for its training. In its applications to sensor signal estimation, there are a large number of input variables related with an output As the number of input variables increases, the training time of fuzzy neural networks required increases exponentially. Thus, it is essential to reduce the number of inputs to a fuzzy neural network and to select the optimum number of mutually independent inputs that are able to clearly define the input-output mapping. In this work, principal component analysis (PCA), genetic algorithms (CA) and probability theory are combined to select new important input features. A proposed feature selection method is applied to the signal estimation of the steam generator water level, the hot-leg flowrate, the pressurizer water level and the pressurizer pressure sensors in pressurized water reactors and compared with other input feature selection methods.

• Journal of Educational Research in Mathematics
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• v.11 no.2
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• pp.291-305
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• 2001

The major purpose of this study is to show the insufficiency of traditional epistemology and consructivism as epistemology of mathematics education. Traditional epistemology such as empiricism, rationalism, Kant's epistemology, and Piaget's genetic epistemology is not sufficient to explain episteme in educational situation because it regards that epsteme is the phenomenon occurs between the abstract individual subject and the object world. Modern epistemology like constructivism recognize the public or social character of epsteme. So it is more appreciate than traditional epistemology to explain episteme in math educational situation. But constructivist pedagogy derived from constructivist learning theory has the following important shortcoming: The lack of clear criteria by which instructional effectiveness might be evaluated from a constructivist perspective.

• 한국가시화정보학회:학술대회논문집
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• 2001.12a
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• pp.6-13
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• 2001

A new GA-3D-PTV technique has been constructed to measure an impinging jet. The measurement system consists of three CCD cameras, Ar-ion laser, an image grabber and a host computer. GA (Genetic Algorithm) was used based on one-to-one correspondences in order to take advantage of the combinatorial optimization in tracking the pairs of the whole particles of the two images having a time interval. Two fitness functions were introduced in order to enhance the correspondences of the particles. One was based on a concept of the continuum theory and the other one was based on a minimum distance error. The constructed GA-3D-PTV system was applied in success to the measurement of flow characteristics of the impinging jet.

• Journal of Advanced Marine Engineering and Technology
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• v.28 no.4
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• pp.675-684
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• 2004

The Helicopter system has a non-linearity and complexity. Futhermore, because of absence of its correct mathematical model. it is difficult to control accurately its attitudes for elevation angle and azimuth one. Therefore, we proposed a GA-PID control technique to control these angles efficiently. The proposed GA-PID controller can systematically generate optimal PID parameters by applying GA theory to a helicopter attitude control system. Through the computer simulation, the GA-PID technique shows better attitude control characteristic than traditional PID control technique.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.24 no.3
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• pp.302-307
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• 2015

The automobile is an important means of transportation. For this reason, the automotive wheel is also an important component in the automotive industry because it acts as a load support and is closely related to safety. Thus, the wheel design is a very important safety aspect. In this paper, an optimal design for minimizing automotive wheel stress and increasing wheel safety is described. To study the optimal design, a central composite design (CCD) and D-optimal design theory are applied, and the approximate function using the response surface method (RSM) is generated. The optimal solutions using the non-dominant sorting genetic algorithm (NSGA-II) are then derived. Comparing CCD and D-optimal solution accuracy and verified the CCD can deduce more accuracy optimal solutions.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.369-369
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• 2000

Control system by means of fuzzy theory has demonstrated its robustness in applying to the high-order and nonlinear dynamic system in that it can utilizes the human expert knowledges in system design. In this paper, first, the design methodology of HFC combined PID controller with fuzzy controller by membership function of weighting coefficient is proposed. Second, Second, an auto-tuning algorithms utilizing the simplified reasoning method and genetic algorithms is presented to improve the performance of hybrid fuzzy controller. Especially, in order to obtain the optimal scaling factors and PID parameters of HFC using GA based on advanced initial individual, three kinds of estimation modes such as basic, contraction, and expansion mode are effectively utilized. The proposed HFC is evaluated and discussed in ITAE, overshoot and rising time to show applicability and superiority with simulation results.

• Journal for History of Mathematics
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• v.17 no.3
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• pp.73-92
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• 2004

The paper surveys various attempts to use the concept of 'fundamental ideas' -Bruner's concept- as a tool for organizing mathematics teaching and research in mathematics education. One of the characteristics of fundamental ideas in mathematics is their correspondence to the history of mathematics; therefore in forming out contents and methods in mathematics education, the history of mathematics may be serve as an interesting aspect. It is demonstrated by the example of mean values.

• Smart Structures and Systems
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• v.16 no.3
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• pp.401-414
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• 2015

A developed hybrid method for crack identification of beams is presented. Based on the Euler-Bernouli beam theory and concepts of fracture mechanics, governing equation of the cracked beams is reformulated. Finite element (FE) method as a powerful numerical tool is used to discritize the equation in space domain. After transferring the equations from time domain to frequency domain, frequencies and mode shapes of the beam are obtained. Efficiency of the governed equation for free vibration analysis of the beams is shown by comparing the results with those available in literature and via ANSYS software. The used equation yields to move the influence of cracks from the stiffness matrix to the mass matrix. For crack identification measured data are produced by applying random error to the calculated frequencies and mode shapes. An objective function is prepared as root mean square error between measured and calculated data. To minimize the function, hybrid genetic algorithms (GAs) and particle swarm optimization (PSO) technique is introduced. Efficiency, Robustness, applicability and usefulness of the mixed optimization numerical tool in conjunction with the finite element method for identification of cracks locations and depths are shown via solving different examples.