• Journal for History of Mathematics
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• v.19 no.4
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• pp.31-62
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• 2006

In this article, the theoretical basis of applying mathematical his tory in lessons is inquired in various educational aspects. It also covers the psychological genetic principle, mainly concerning the childish development and states that it has to be compatible with the historico-genetic principle, which is suggested mainly concerning the development of data. In addition, it evolves the arguments about the meaning of mathematical history in math lessons based on the mentioned aspects besides that in ordinary math lessons. Next, the link between the apply of mathematical history and education for gifted children is examined. Last, cases of mathematic history applied to mathematic education is suggested mainly concerning the understanding of differential concepts.

• Korean Journal of Environmental Biology
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• v.32 no.4
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• pp.413-425
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• 2014

In order to shed some light on the historical change of biodiversity concepts, this paper reviews the science and technology studies (STS) literature on the history of biological research on human genetic diversity. By doing that, I show how the notion of genetic diversity in the human population - from "race" to "population" to "biogeographical ancestry" - has changed with methodologies and techniques over the last hundred years. In the meantime, I point out contexts and situations, despite conceptual and methodological developments, that show that current human genetic diversity research is slipping into the past mistakes of scientific racism. This article offers biodiversity researchers an opportunity to consider their own scientific practices on classifying species more reflectively.

• Journal of The Korean Association For Science Education
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• v.23 no.2
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• pp.190-199
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• 2003

The purposes of this study was to investigate the effect of inductive Instructional method and deductive one concerning the learners' population genetic concepts and achievement according to learners' cognitive characteristics. For the study, 180 students were sampled from a boys' high school: 90 students for inductive teaching method and 90 students for deductive teaching method. Group Assessment of Logical Thinking(GALT) and Group Embedded Figure Test (GEFT) were used as the measure of cognitive characteristics. The results of this study were as follows. 1) The inductive instructional method was more effective in the understanding of population genetic concepts and their achievement. 2) Inductive instructional method was more effective than deductive one for the learners in formal operational level and in field independent cognitive style. 3) For the learners in a transitional level and field dependent cognitive style, deductive instructional way was more effective than inductive way on the average, but it was not statistically significant. It was turned out that learners' cognitive level was one of important factors when teachers instruct the concept of population genetics.

• Korean Journal of Animal Reproduction
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• v.20 no.4
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• pp.365-370
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• 1997

Historical programs for genetic improvement of dairy cattle are discussed in the context of new genetic technologies resulting in a hetero zygous gain of function. Concepts are outlined pointing to the importance of breaking the well established genetic correlation between fat content and protein content of milk to provide flexibility in the dairy industry. The concept of value added genetics is introduced and the econ omic mpetitiveness of the mammary glands of livestock are considered in relationship to mammalian cell culture bacterial fermentation technology.

• ETRI Journal
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• v.44 no.2
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• pp.327-338
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• 2022

Classification models for human action recognition require robust features and large training sets for good generalization. However, data augmentation methods are employed for imbalanced training sets to achieve higher accuracy. These samples generated using data augmentation only reflect existing samples within the training set, their feature representations are less diverse and hence, contribute to less precise classification. This paper presents new data augmentation and action representation approaches to grow training sets. The proposed approach is based on two fundamental concepts: virtual video generation for augmentation and representation of the action videos through robust features. Virtual videos are generated from the motion history templates of action videos, which are convolved using a convolutional neural network, to generate deep features. Furthermore, by observing an objective function of the genetic algorithm, the spatiotemporal features of different samples are combined, to generate the representations of the virtual videos and then classified through an extreme learning machine classifier on MuHAVi-Uncut, iXMAS, and IAVID-1 datasets.

• Journal of Korean Elementary Science Education
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• v.24 no.2
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• pp.145-159
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• 2005

Students' alternative concepts of evolution are similar to misconcepts and disputes which scientists had in science history. The aims of this study are to analyze the elementary children's concept in evolution based on science history. Lee (2004)'s two tests were applied to 6th grade to investigate the children's evolution concepts and genetic concepts related to the historical development of the evolution concepts. The test results were analyzed in accordance with 4 stages of science history based on Lee (2004)'s method. These stages are divided to stage 1 (Before Lamarck), stage 2 (Lamarck), stage 3 (Darwin), stage 4 (After Darwin). The major results are as follows. Most of elementary school children are fixed to the stage 2. They usually do not show the consistency of evolution concepts in the three dimensional aspects such as mechanism, time, and subjects. Many children do not have concrete meaning of gene, inheritance, sexual reproduction, mutation and could not connect these concetps and process of evolution. Also, they believe the inheritance of acquired traits and spontaneous generation. Therefore it is confirmed that they still have similar misconcepts and disputes which scientists had in transition time between stage 2 and 3 and most of children already have strong Lamarckian thought acquired from daily life experience before learning about natural selection and evolution.

• The Mathematical Education
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• v.44 no.4 s.111
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• pp.547-563
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• 2005

There have been many papers reporting that the axiomatic approach in Abstract Algebra is a big obstacle to overcome for the students who are not trained to think in an abstract way. Therefore an instructor must seek for ways to help students grasp mathematical concepts in Abstract Algebra and select the ones suitable for students. Mathematics faculty and students generally consider Abstract Algebra in general and quotient groups in particular to be one of the most troublesome undergraduate subjects. For, an individual's knowledge of the concept of group should include an understanding of various mathematical properties and constructions including groups consisting of undefined elements and a binary operation satisfying the axioms. Even if one begins with a very concrete group, the transition from the group to one of its quotient changes the nature of the elements and forces a student to deal with elements that are undefined. In fact, we also have found through running abstract algebra courses for several years that students have considerable difficulty in understanding the concept of quotient groups. Based on the above observation, we explore and analyze the nature of students' knowledge about $Z_n$ that is the set of congruence classes modulo n. Applying the genetic decomposition method, we propose a model to lead students to achieve the correct concept of $Z_n$.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.3
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• pp.167-173
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• 2002

In this paper, we propose an interactive genetic algorithm (IGA) to implement an automated 2D avatar synthesis. The IGA technique is capable of expressing user's personality in the avatar synthesis by using the user's response as a candidate for the fitness value. Our suggested IGA method is applied to creating avatars automatically. Unlike the previous works, we introduce the concepts of 'hidden population', as well as 'primitive avatar' and 'simplified genotype', which are used to overcome the shortcomings of IGA such as human fatigue or reliability, and reasonable rates of convergence with a less number of iterations. The procedure of designing avatar models consists of two steps. The first step is to detect the facial feature points and the second step is to create the subjectively optimal avatars with diversity by embedding user's preference, intuition, emotion, psychological aspects, or a more general term, KANSEI. Finally, the combined processes result in human-friendly avatars in terms of both genetic optimality and interactive GUI with reliability.

• Genomics & Informatics
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• v.20 no.1
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• pp.8.1-8.14
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• 2022

Despite the success of recent genome-wide association studies investigating longitudinal traits, a large fraction of overall heritability remains unexplained. This suggests that some of the missing heritability may be accounted for by gene-gene and gene-time/environment interactions. In this paper, we develop a Bayesian variable selection method for longitudinal genetic data based on mixed models. The method jointly models the main effects and interactions of all candidate genetic variants and non-genetic factors and has higher statistical power than previous approaches. To account for the within-subject dependence structure, we propose a grid-based approach that models only one fixed-dimensional covariance matrix, which is thus applicable to data where subjects have different numbers of time points. We provide the theoretical basis of our Bayesian method and then illustrate its performance using data from the 1000 Genome Project with various simulation settings. Several simulation studies show that our multivariate method increases the statistical power compared to the corresponding univariate method and can detect gene-time/ environment interactions well. We further evaluate our method with different numbers of individuals, variants, and causal variants, as well as different trait-heritability, and conclude that our method performs reasonably well with various simulation settings.

• Korean Institute of Interior Design Journal
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• v.16 no.1 s.60
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• pp.48-55
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• 2007

Proceedings in a new field of sciences and technologies like genetic engineering challenge to conventional concepts. It demonstrates a certain disappearance in conventional concepts that dominants our perceptions, such as organic, mechanical, and dichotomic concept of informative materials, and that is to be extended as a potential possibility. Then, what is a new space where our bodies that feel and cherish in their mind should live in these days as well as it makes senses by itself and should affect the principle that makes worlds? In addition, this study proposes a frame in the analysis in order to understand a section of modern designs with the question of 'what is the change in the relationship between relative structures in spaces and objects from a design point of view according to new structural concepts of body?' The major point of this analysis can be realized based on the assumption of the extension of the characteristics in the change of structural relationship in the aspect of post structuralism that includes non-structuralized relationship represented in modern philosophy, arts, and architectural works. Then, it can be accomplished as positive ideas in the foundation of space designs in future including the understand of 'new structural relationship' that can't be expressed as rationality and causal sequence by considering how the experiment conducted using several topics on body can be projected onto spaces through the process applied in the experiment.