• Journal of Photoscience
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• v.9 no.2
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• pp.182-185
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• 2002

There are 3 UV DNA repair endonuclease activities in mammalian cells that cleave UV -irradiated DNA. Interestingly, mammalian UV endonuclease III with MW of 26.7kD has a lyase activity on AP sites. It also cleaves the phosphodiester bond within a cyclobutane pyrimidine dimer. Genomic analysis of human repair endonuclease III gene revealed that this gene has 100% sequence identity with ribosomal protein S3 (rpS3). Therefore, rpS3 seems to function both in translation and in DNA repair. This gene of about 6.1 kb contains 6 introns and 7 exons, and the first and fifth introns of human rpS3 gene contain functional U15 small nucleolar (sno) RNAs which appear to be involved in ribosome assembly. It is to be noted that the column profile of the endonuclease activity of rpS3 appears to be altered in Xeroderma Pigmentosum (XP) group D cells compared to normal cells indicating that this protein is involved in XP disease as well. XP is a human disease characterized by high sensitivity of skin by UV- or sun-light irradiation and by high frequency of developing skin cancers. We also report here that rpS3 protein is involved in other cellular functions.

• KSBB Journal
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• v.32 no.1
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• pp.29-34
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• 2017

The completion of the Human Genome Project that identified all 3 billion base pairs in the human genome can be seen as a step towards understanding the relay of information and intention within an organism, or in other words, the language of life. The faculty of human language, key to differentiating humans from other animate species, works for conveying information to others by mapping meaning to sound based on syntactic structures. This resemblance between life and language has not gone unnoticed; the literature on RNA transcription and translation research regularly uses linguistic metaphors and the biolinguistic perspective of language has also been studied. By examining the biological characteristics of language and the linguistic characteristics of life, this study aims to identify key mechanisms shared between the two systems in order to promote a stronger connection between them. It furthers this goal by pointing out two general messages to which these mechanisms aim, productivity and accuracy, and discovers what lesson these messages give to a human society geared for sustainability.

• Animal cells and systems
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• v.13 no.4
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• pp.381-389
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• 2009

Using the DDRT-PCR, a series of differentially expressed genes in human primary cervical cancer was isolated. Among the 250 PCR amplimers, 88 gene fragments were confirmed by reverse Northern hybridization. Homology searches indicated that 26 out of 88 were previously known genes including calmodulin, human BBC1, histone H3.3, a series of ribosomal proteins (RPL19, RPS19, and RPS12), translation initiation factor (eIF-4AI), lactoferrin, integrin ${\alpha}6$, cell-surface antigens (CD9 and CD59), transcription factor (mbp-1), and mitochondrial proteins. Several unknown clones showed sequence homology with known genes. Furthermore, six of the unknown genes showed identical sequence with expressed sequence tags (EST) of unknown function. Differential expression patterns of identified genes were further examined and confirmed with multiple pairs of cervical cancer samples using Northern hybridization. Our profiling of differentially expressed genes may provide useful information about the underlying genetic alterations in human cervical carcinoma and diagnostic markers for this disease. The precise roles of these genes in cancer development remain to be elucidated.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.80-85
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• 2023

기계 번역에서 품질 검증은 정답 문장 없이 기계 번역 시스템에서 생성된 번역의 품질을 자동으로 추정하는 것을 목표로 한다. 일반적으로 이 작업은 상용화된 기계 번역 시스템에서 후처리 모듈 역할을 하여 사용자에게 잠재적인 번역 오류를 경고한다. 품질 검증의 하위 작업인 치명적인 오류 탐지는 번역의 오류 중에서도 정치, 경제, 사회적으로 문제를 일으킬 수 있을 만큼 심각한 오류를 찾는 것을 목표로 한다. 본 논문은 치명적인 오류의 유무를 분류하는 것을 넘어 문장에서 치명적인 오류가 존재하는 부분을 제시하기 위한 새로운 데이터셋과 모델을 제안한다. 이 데이터셋은 거대 언어 모델을 활용하는 구축 방식을 채택하여 오류의 구체적인 범위를 표시한다. 또한, 우리는 우리의 데이터를 효과적으로 활용할 수 있는 다중 작업 학습 모델을 제시하여 오류 범위 탐지에서 뛰어난 성능을 입증한다. 추가적으로 언어 모델을 활용하여 번역 오류를 삽입하는 데이터 증강 방법을 통해 보다 향상된 성능을 제시한다. 우리의 연구는 기계 번역의 품질을 향상시키고 치명적인 오류를 줄이는 실질적인 해결책을 제공할 것이다.

• Transactions on Control, Automation and Systems Engineering
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• v.4 no.1
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• pp.9-16
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• 2002

In this paper, we intend to demonstrate a new intuitive force-feedback device for advanced VR applications. Force feed-back for the device is tension based and is characterized by 7 degrees of freedom (DOF); 3 DOF for translation, 3 DOF for rotation, and 1 DOF for grasp). The SPIDAR-G (Space Interface Device for Artificial Reality with Grip) will allow users to interact with virtual objects naturally by manipulating two hemispherical grips located in the center of the device frame. We will show how to connect the strings between each vertex of grip and each extremity of the frame in order to achieve force feedback. In addition, methodologies will be discussed for calculating translation, orientation and grasp using the length of 8 strings connected to the motors and encoders on the frame. The SPIDAR-G exhibits smooth force feedback, minimized inertia, no backlash, scalability and safety. Such features are attributed to strategic string arrangement and control that results in stable haptic rendering. The design and control of the SPIDAR-G will be described in detail and the Space Graphic User Interface system based on the proposed SPIDAR-G system will be demonstrated. Experimental results validate the feasibility of the proposed device and reveal its application to virtual reality.

• The KIPS Transactions:PartB
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• v.10B no.4
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• pp.459-464
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• 2003

This paper proposes the use of a wavelet based image transform algorithm in human iris recognition method and the effectiveness of this technique will be determined in preprocessing of extracting Iris image from the user´s eye obtained by imaging device such as CCD Camera or due to torsional rotation of the eye, and it also resolves the problem caused by invariant under translations and dilations due to tilt of the head. This technique values through the proposed translation-invariant wavelet transform algorithm rather than the conventional wavelet transform method. Therefore we extracted the best-matching iris feature values and compared the stored feature codes with the incoming data to identify the user. As result of our experimentation, this technique demonstrate the significant advantage over verification when it compares with other general types of wavelet algorithm in the measure of FAR & FRR.

• Interdisciplinary Bio Central
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• v.4 no.4
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• pp.14.1-14.6
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• 2012

Splice site prediction in DNA sequence is a basic search problem for finding exon/intron and intron/exon boundaries. Removing introns and then joining the exons together forms the mRNA sequence. These sequences are the input of the translation process. It is a necessary step in the central dogma of molecular biology. The main task of splice site prediction is to find out the exact GT and AG ended sequences. Then it identifies the true and false GT and AG ended sequences among those candidate sequences. In this paper, we survey research works on splice site prediction based on support vector machine (SVM). The basic difference between these research works is nucleotide encoding technique and SVM kernel selection. Some methods encode the DNA sequence in a sparse way whereas others encode in a probabilistic manner. The encoded sequences serve as input of SVM. The task of SVM is to classify them using its learning model. The accuracy of classification largely depends on the proper kernel selection for sequence data as well as a selection of kernel parameter. We observe each encoding technique and classify them according to their similarity. Then we discuss about kernel and their parameter selection. Our survey paper provides a basic understanding of encoding approaches and proper kernel selection of SVM for splice site prediction.

• Archives of design research
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• v.15 no.4
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• pp.337-346
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• 2002

Among many design processes such as learning, storing, retrieving and applying, the process that learns design knowledge is very important for producing creative results that solve design purposes in design computations. The computer should have the ability similar to human in learning design knowledge. It should recognize not only physical properties but also high level design knowledge constructed from the first level physical properties. The high level design knowledge are recognised in terms of isometric translation relationships. This paper explains properties of isometric translation and methods how the computer can recognize high level shape design knowledge using shape pattern representation.

• Smart Media Journal
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• v.8 no.2
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• pp.46-57
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• 2019

In recent research, deep learning-based methods have achieved state-of-the-art performance in various computer vision tasks. However, these methods are commonly supervised, and require huge amounts of annotated data to train. Acquisition of data demands an additional costly effort, particularly for the tasks where it becomes challenging to obtain large amounts of data considering the time constraints and the requirement of professional human diligence. In this paper, we present a data level synthetic sampling solution to learn from small and imbalanced data sets using Generative Adversarial Networks (GANs). The reason for using GANs are the challenges posed in various fields to manage with the small datasets and fluctuating amounts of samples per class. As a result, we present an approach that can improve learning with respect to data distributions, reducing the partiality introduced by class imbalance and hence shifting the classification decision boundary towards more accurate results. Our novel method is demonstrated on a small dataset of 2789 tomato plant disease images, highly corrupted with class imbalance in 9 disease categories. Moreover, we evaluate our results in terms of different metrics and compare the quality of these results for distinct classes.

• Journal of English Language & Literature
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• v.55 no.1
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• pp.107-128
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• 2009

Literature had been at center-stage in the traditional grammar-translation-focused English classrooms up to the mid-twentieth century. As the Audiolingual Method and the Communicative Language Teaching have gained popularity in the English classrooms, however, literature has receded into the background of English education. The main reasons for using literary texts in the English classrooms for communication-focused English instruction need to be examined. First of all, students can come in touch with the subtle and varied uses of language through literature-based teaching. They also feel close to certain characters in the literary work and share the emotional reponses with them. They get personally involved in the plot of the story. Universal human experience and cultural enrichment are two other merits which can be conferred on students by literary texts. Such linguistic and literary experiences can be significantly integrated into the literature-based instruction. More significantly, the four language skills (reading, writing, listening and speaking) can be combined with one another and integrated into a literature-focused curriculum for English education. The value of literary texts in the English classrooms can be clearly demonstrated by effective ways of using such texts as Charlotte's Web for integrated instruction. The full array of benefits that literature can bring to English instruction, however, has yet to be fully realized. These potentials need to be materialized into classroom practice.