Transposable elements (TEs) occupy approximately 45% of the human genome and can enter functional genes randomly. During evolutionary radiation, multiple copies of TEs are produced by duplication events. Those elements contribute to biodiversity and phylogenomics. Most of them are controlled by epigenetic regulation, such as methylation or acetylation. Every species contains their own specific mobile elements, and they are divided into DNA transposons and retrotransposons. Retrotransposons can be divided by the presence of a long terminal repeat (LTR). They show various biological functions, such as promoter, enhancer, exonization, rearrangement, and alternative splicing. Also, they are strongly implicated to genomic instability, causing various diseases. Therefore, they could be used as biomarkers for the diagnosis and prognosis of diseases such as cancers. Recently, it was found that TEs could produce miRNAs, which play roles in gene inhibition through mRNA cleavage or translational repression, binding seed regions of target genes. Studies of TE-derived miRNAs offer a potential for the expression of functional genes. Comparative analyses of different types of miRNAs in various species and tissues could be of interest in the fields of evolution and phylogeny. Those events allow us to understand the importance of TEs in relation to biological roles and various diseases.
Kim, Hoi-Jun;Lee, Sang-Hun;Han, Hyun Ho;Kim, Jin-Soo
Journal of the Korea Convergence Society
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v.11
no.12
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pp.39-47
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2020
In this paper, we proposed a deep learning-based detection method using Saliency Attention to detect salient objects in images. The salient object detection separates the object where the human eye is focused from the background, and determines the highly relevant part of the image. It is usefully used in various fields such as object tracking, detection, and recognition. Existing deep learning-based methods are mostly Autoencoder structures, and many feature losses occur in encoders that compress and extract features and decoders that decompress and extend the extracted features. These losses cause the salient object area to be lost or detect the background as an object. In the proposed method, Saliency Attention is proposed to reduce the feature loss and suppress the background region in the Autoencoder structure. The influence of the feature values was determined using the ELU activation function, and Attention was performed on the feature values in the normalized negative and positive regions, respectively. Through this Attention method, the background area was suppressed and the projected object area was emphasized. Experimental results showed improved detection results compared to existing deep learning methods.
According to the result about 'San Jiao(三焦)'recorded on "Yellow Empero's Canon Internal Medicine Ling Shu(黃帝內經 靈樞)", we achieved following results. 1. As we consider the concept of 'San Jiao' recorded on "Ling Shu", in early time, it was related to bladder(膀胱) and there was no divided concept into 'Shang Jiao(上焦)', 'Zhong Jiao(中焦)' and 'Xia Jiao(下焦)'. Later, there was appearance of body metabolism concept in anatomic way and started to emphasize that stomach(胃) is the very beginning of digestion. This point then adjusted into the concept which the core theory of digestion and water metabolism begins with 'Zhong Jiao' and processes to 'Shang Jiao' and 'Xia Jiao' then it established the 'San Jiao' theory adjusted to the functional change than property change. Later as there is set theoretical structure of 'three Yin and three Yang(三陰三陽)', it included the concept of 'San Jiao' onto meridian system theory to complete as a theory. Finally, it completed the theoretical structure that 'San Jiao' runs water metabolism of circulation, body fluid and urine for body to produce blood and Qi to protect and provide nutrition to the human body. 2. From the point of each part, 'San Jiao' means all body composition factor related to the relation to the digestion and water metabolism to produce Qi and blood. Also, the details of entire function of 'San Jiao' tells that 'Zhong Jiao' intakes food and divides the clarity and turbidity of digested substances. The origin of this digestion and water metabolism lies at Xia Jiao. The clean substance including the mood and taste climbs via Shang Jiao. The vapor like substance climbed to Shang Jiao becomes 'defensive Qi(衛氣)' and controls body temperature and sweat by supporting and spreading the Qi by Shang Jiao. The liquid substance climbed to Shang Jiao becomes blood. The blood has stronger character as substance than defensive Qi so Zhong Jiao becomes the base and the way for the blood. The turbid Qi separated at Zhong Jiao passes large intestine and the solid substance is excreted and the liquid is absorbed into bladder. The Xia Jiao that controls this process controls the liquid state of water matabolism so control the urine with bladder. Therefore, 'San Jiao' can be understood as a general concept that controls entire water metabolism as a way of food, Qi and blood.
Max Weber claimed that the clans as a self-sufficient community in traditional China had limited market development. His statement can be applied to the lineage groups of $Chos{\breve{o}}n$ dynasty, however, it also could be criticized as an example of oversimplifying clans. Starting from this question, in this article, I examined the lineage movement of the P'ap'yong Yun's Nojongp'a branch. Through this research, I tried to investigate the reality of the lineage group communities of $Chos{\breve{o}}n$. My issues are following. First, the Nojongp'a clan promoted the solidarity movement of their lineage in the name of practicing human morality, which belonged to their family learning. Second, the Nojongp'a clan made preparations for their own 'righteous rice fields and grains', through which they tried to establish the base structure for the clan activities. This, however, had its own limitations in aiding the starved suffering from famines and did not last long. Third, the lineage could not function as a community for living that was actively involved in the reproduction of life, and was not an exclusive self-sufficient community, either.
The melanin-concentrating hormone (MCH), a cyclic hypothalamic peptide composed of 17 amino acids, was initially identified in chum salmon (Oncorhynchus keta) as a regulator of pigmentation. Mammalian MCHs are cyclic hypothalamic peptides composed of 19 amino acids that regulate food intake and energy homeostasis. The present study examined not only MCH expression of different tissues but also the melanohore aggregation and intracellular $Ca^{2+}$ influx of fMCH and the other MCH. Real-time qPCR showed that MCH expressed specially in the brain, gonad, and ovary, and expression of MCH was observed during the developmental stages. In the application of synthetic fMCH and both types of synthetic fMCH, dN-fMCH and dC-fMCH, scale melanophore induced significant changes in aggregation activity with various concentrations of MCH. Also, compared to hMCH and sMCH, fMCH exhibited a 36~99.85% increase in relative potency (%), whereas aggregation of dN-fMCH and dC-fMCH remained in a high concentration. However, dispersion was induced rapidly according to be low concentration of dN-fMCH and dC-fMCH. We show that fMCH and its derivates were bound human MCHR1 and rat MCHR expressed in HEK293T cells with nano-molar affinity and are likely to be ligand-induced to mobilize intracellular $Ca^{2+}$. These results may provide new ligands for binding assay with MCHew ligands, as a structure similar to the mammalian MCH structure was discovered in fish. Once the fMCH receptor system is in place, it can be compared to the MCH system of mammals in terms of MCH function.
Journal of the Korea institute for structural maintenance and inspection
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v.26
no.2
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pp.28-36
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2022
As port structures are exposed to various extreme external loads such as wind (typhoons), sea waves, or collision with ships; it is important to evaluate the structural safety periodically. To monitor the port structure, especially the rubber fender, a fender segmentation system using a vision sensor and deep learning method has been proposed in this study. For fender segmentation, a new deep learning network that improves the encoder-decoder framework with the receptive field block convolution module inspired by the eccentric function of the human visual system into the DenseNet format has been proposed. In order to train the network, various fender images such as BP, V, cell, cylindrical, and tire-types have been collected, and the images are augmented by applying four augmentation methods such as elastic distortion, horizontal flip, color jitter, and affine transforms. The proposed algorithm has been trained and verified with the collected various types of fender images, and the performance results showed that the system precisely segmented in real time with high IoU rate (84%) and F1 score (90%) in comparison with the conventional segmentation model, VGG16 with U-net. The trained network has been applied to the real images taken at one port in Republic of Korea, and found that the fenders are segmented with high accuracy even with a small dataset.
KSCE Journal of Civil and Environmental Engineering Research
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v.34
no.2
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pp.583-595
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2014
Currently, Korean transportation policies are aiming for increase of safety and environment-friendly and efficient operation, by avoiding construction and expansion of roads, and upgrading road alignments and facilities. This is revealed by that there have been 22 road expansion projects (30%) and 50 road improvement projects (70%) under the 3rd Five-Year Plan for National Highways ('11~'15), while there were 53 road expansion projects (71%) and 22 road improvement projects (29%) under the 2nd Five-Year Plan for National Highways. For more effective road improvement projects, there is a need of choosing projects after an objective and scientific safety assessment of each road, and assessing safety improvement depending on projects. This study is intended to develop a model for this road safety analysis and assessment. The major objective of this study is creating a road safety analysis and assessment model appropriate for Korean society, based on the HSM (Highway Safety Manual) of the U.S. In order to build up data for model development, the sections thought to have identical geometrical structure factors in 5 lines, Cheonbuk province, were divided as homogeneous sections, and representative values of geometric structures, facilities, traffic volume, climate conditions and land usage were collected from the 1,452 sections divided. In order to build up data for model development, the sections thought to have identical geometrical structure factors in 5 lines, Cheonbuk province, were divided as homogeneous sections, and representative values of geometric structures, facilities, traffic volume, climate conditions and land usage were collected from the 1,452 sections divided. The collected data was processed correlation analysis of each road element was implemented to see which factor had a big effect on traffic accidents. On the basis of these results, then, an accident model was established as a negative binomial regression model.Using the developed model, an Crash Modification Factor (CMF) which determines accident frequency changes depending on safety performance function (SPF) predicting the number of accident occurrence through traffic volume and road section expansion, road geometric structure and traffic properties, was extracted.
Lee Je-ma created Sasang Constitutional Medicine from the insight of different congenital formation of Viscera which was based on his own Morpho-Imaganary recognition of human beings. The basic principles to understand human beings are as follows. The first, human beings are morphologically figured based on the human nature. The Second, Morpho-lmaganary recognition was the understanding to all the things including human with the rule of society and the relationships. affairs-mind-body-objects. The Morpho-Imaganary characteristics of Sasang Constitutional Medicine are as follows. The first, Sasang Constitutional Medicine recognize the symptoms and diseases as the aspect of structure and function at the same time. The second, it recognize the symptoms and diseases with the viewpoint of Change.
Journal of the Korea Society of Computer and Information
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v.11
no.6
s.44
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pp.69-78
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2006
In the field of the bioinformatics, it plays an important role in predicting functional information or structure information to search similar sequence in biological DB. Biolrgical sequences have been increased dramatically since Human Genome Project. At this point, because the searching speed for the similar sequence is highly regarded as the important factor for predicting function or structure, the SMP(Sysmmetric Multi-Processors) computer or cluster is being used in order to improve the performance of searching time. As the method to improve the searching time of BLAST(Basic Local Alighment Search Tool) being used for the similarity sequence search, We suggest the nBLAST algorithm performing on the cluster environment in this paper. As the nBLAST uses the MPI(Message Passing Interface), the parallel library without modifying the existing BLAST source code, to distribute the query to each node and make it performed in parallel, it is possible to easily make BLAST parallel without complicated procedures such as the configuration. In addition, with the experiment performing the nBLAST in the 28 nodes of LINUX cluster, the enhanced performance according to the increase in the number of the nodes has been confirmed.
Journal of the Society of Cosmetic Scientists of Korea
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v.39
no.3
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pp.177-186
/
2013
Skin dermal fibroblast is the major collagen-producing cell type in human skin. As aging process continues in human skin, collagen production is reduced and fragmentation is increased, which is initiated by matrix metalloproteinase-1 (MMP-1). This imbalance of collagen homeostasis impairs the structure and function of dermal collagenous extracellular matrix (ECM), thereby promoting skin aging. Cysteine-rich protein 61 (CCN1), a member of the CCN family, negatively regulates collagen homeostasis in primary human skin dermal fibroblast cells. It is known in aging fibroblast cells that elevated CCN1 expression substantially reduces type I procollagen and concurrently increases MMP-1, which initiates fibrillar collagen degradation. And proliferation rate of aging fibroblast cells is reduced compared to the pre-aging fibroblast cells. In this study, we confirmed that the replicative senescence dermal fibroblast cells increased the expression levels of MMP-1 and decreased the production of type I procollagen. Our results also showed that the replicative senescence dermal fibroblast cells increased in the expression of CCN1 and decreased in the proliferation rate. Hydrolyzed Ulva pertusa extracts are the materials to improve photo-aging by reducing the expression of MMP-1 that was increased by ultraviolet and by promoting the synthesis of new collagen from fibroblast cells. In this study, we also investigated the hydrolyzed U. pertusa extract to see whether it inhibits CCN1 protein expression in the senescence fibroblasts. Results showed that the hydrolyzed U. pertusa extract inhibited the expression of MMP-1 and increased the production of type I procollagen in the aging skin fibroblast cells cultured. In addition, the proteins that regulate collagen homeostasis CCN1 expression were greatly reduced. The hydrolyzed U. pertusa extract increased the proliferation rate of the aging fibroblast cells. These results suggest that replicative senescent fibroblast cells may be used in the study of cosmetic ingredients as a model of the natural aging. In conclusion, the hydrolyzed U. pertusa extract can be used in anti-wrinkle functional cosmetic material to improve the natural aging skin care as well as photo-aging.
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