• The KIPS Transactions:PartB
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• v.16B no.5
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• pp.395-402
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• 2009

This paper proposes an approach of a novel facial expression recognition to deal with different intensities to improve a performance of a facial expression recognition. Various expressions and intensities of each person make an affect to decrease the performance of the facial expression recognition. The effect of different intensities of facial expression has been seldom focused on. In this paper, a face expression template and an expression-intensity distribution model are introduced to recognize different facial expression intensities. These techniques, facial expression template and expression-intensity distribution model contribute to improve the performance of facial expression recognition by describing how the shift between multiple interest points in the vicinity of facial parts and facial parts varies for different facial expressions and its intensities. The proposed method has the distinct advantage that facial expression recognition with different intensities can be very easily performed with a simple calibration on video sequences as well as still images. Experimental results show a robustness that the method can recognize facial expression with weak intensities.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.161-164
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• 2005

Data mining techniques can be applied to identify patterns of interest in the gene expression data. One goal in mining gene expression data is to determine how the expression of any particular gene might affect the expression of other genes. To find relationships between different genes, association rules have been applied to gene expression data set [1]. A notable limitation of association rule mining method is that only the association in a single profile experiment can be detected. It cannot be used to find rules across different condition profiles or different time point profile experiments. However, with the appearance of time-series microarray data, it became possible to analyze the temporal relationship between genes. In this paper, we analyze the time-series microarray gene expression data to extract the sequential patterns which are similar to the association rules between genes among different time points in the yeast cell cycle. The sequential patterns found in our work can catch the associations between different genes which express or repress at diverse time points. We have applied sequential pattern mining method to time-series microarray gene expression data and discovered a number of sequential patterns from two groups of genes (test, control) and more sequential patterns have been discovered from test group (same CO term group) than from the control group (different GO term group). This result can be a support for the potential of sequential patterns which is capable of catching the biologically meaningful association between genes.

• Proceedings of the Korean Statistical Society Conference
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• 2002.05a
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• pp.85-90
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• 2002

Microarray technology allows the monitoring of expression levels for thousands of genes simultaneously. In time-course experiments in which gene expression is monitored over time we are interested in testing gene expression profiles for different experimental groups. We propose a statistical test based on the ANOVA model to identify genes that have different gene expression profiles among experimental groups in time-course experiments. Using this test, we can detect genes that have different gene expression profiles among experimental groups. The proposed model is illustrated using cDNA microarrays of 3,840 genes obtained in an experiment to search for changes in gene expression profiles during neuronal differentiation of cortical stem cells.

• Animal Bioscience
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• v.35 no.4
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• pp.624-630
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• 2022

Objective: The aim of this study was to investigate the expression level of filaggrin-2 (FLG2) in correlation with drip loss. Methods: The muscle samples were randomly taken from a local meat supplier. Samples were taken from Longissimus lumborum muscles to evaluate the drip loss (n = 100). Five muscles per group (low and high drip loss) were selected to evaluate FLG2 mRNA and protein expression levels. Results: mRNA of FLG2 gene was not significantly different in pigs with different levels of drip loss (p>0.05). Statistical analysis revealed that FLG2 protein expression levels were significantly different between the drip loss groups. Western blot revealed that the high drip loss group had higher FLG2 protein expression level than the low drip loss group (p<0.001). Moreover, immunohistochemistry revealed the high signal intensity was on the muscle cell membrane and cytoplasm. Conclusion: FLG2 protein might play roles in drip loss of pork and will provide the basis for information to improving meat quality traits in pigs.

• Journal of Information Processing Systems
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• v.19 no.3
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• pp.323-333
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• 2023

Facial expression recognition can aid in the development of fatigue driving detection, teaching quality evaluation, and other fields. In this study, a facial expression recognition method was proposed with a residual masking reconstruction network as its backbone to achieve more efficient expression recognition and classification. The residual layer was used to acquire and capture the information features of the input image, and the masking layer was used for the weight coefficients corresponding to different information features to achieve accurate and effective image analysis for images of different sizes. To further improve the performance of expression analysis, the loss function of the model is optimized from two aspects, feature dimension and data dimension, to enhance the accurate mapping relationship between facial features and emotional labels. The simulation results show that the ROC of the proposed method was maintained above 0.9995, which can accurately distinguish different expressions. The precision was 75.98%, indicating excellent performance of the facial expression recognition model.

• Journal of the Korean Society of Costume
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• v.66 no.4
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• pp.111-127
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• 2016

The study aims to examine the forms of 'image expression' and utilization of model poses in fashion photos, and to delve into the characteristics and the intents that make certain model poses effective in expressing an image. The study used the fashion photos in the fashion magazine, Vogue, to analyze the different model poses used to express different images. The results are as follows. First, image expression forms in fashion photos were categorized into 'direct product suggestion expression form', 'sensual image expression form', 'sexual image expression form', 'story telling expression form', 'everyday situation expression form', and 'fantastic image expression form'. The different utilization types of model poses were categorized into 'type utilizing intangible elements', 'type utilizing complicated elements', 'type utilizing living organisms', 'type utilizing props', 'type utilizing clothes', 'type utilizing location', 'type utilizing accessories', and 'type utilizing products'. Second, the most common expression form for fashion photos used in advertisements was the 'direct product suggestion expression form', which was followed by the sensual image expression form. The most popular form used in the editorial fashion photos was the direct suggestion product expression form, which was followed by the story telling expression form. Third, the most common model pose type for direct product suggestion form was the 'type utilizing product'. Fourth, 'direct product suggestion expression form' was mostly used in editorial fashion photos. The most common utilization types of model poses were 'type utilizing clothes', 'type utilizing props', and 'type utilizing place'.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.60 no.1
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• pp.33-40
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• 2015

Soybean is very useful crop to supply vegetable protein for human. Supply of soybean is increased because it has useful ingredient. Recently, cultivation of soybean in paddy field is increasing due to the increase of rice stockpile in Korea. Hence, in this study, expression of protein was identified regarding different environment for cultivation to investigate the effect of different environment on protein expression. Two-dimensional electrophoresis was performed to investigate the expression of protein using image analysis program to measure degree of protein expression in numerical value. Hannam-kong, Beakcheon-Kong, Hwangkeum-Kong, and Danwon-Kong were used as plant material. 2-DE combined with image analysis revealed that each degree of protein expression of Hannam-Kong and Hwangkeum-Kong in upland field was higher than degree of protein expression in paddy field. However, in case of Beackcheon-Kong, the phenomenon was opposite. In Danwon-kong, the degree of protein expression was not different between up-land field and paddy field. To this end, major protein spots were not different between paddy field and upland field among all cultivars. It could be suggested that protein expression is not severely different by various environment, but different environment affects degree of protein expression.

• Biomedical Science Letters
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• v.17 no.3
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• pp.185-190
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• 2011

Adenovirus type 5 (Ad5) vectors have been used for gene transfer to a wide variety of cell types in vivo and in vitro. The advantages of adenovirus vectors include the high titer of virus readily obtained in large scale preparations, their ability to transduce dividing and non dividing cells, and the high level of transgene expression. Since adenovirus vectors do not integrate in host cell DNA, there is a lack of insertional mutagenesis. However, many human tumor cells lack expression of the adenovirus 5 receptors and contain areas of hypoxia. In order to identify the pattern of replication and gene expression of oncolytic adenovirus in hypoxic condition, multiple different fiber modified Ads (Ad5F/S11, Ad5F/S35, Ad5F/K7, Ad5F/K21, and Ad5F/RGD) was compared. The replication of all fiber modified adenovirus was inhibited in hypoxic condition in HEK 293 cells, but gene expression has variety on different tumor cell lines and the level of coxackievirus and adenovirus receptor (CAR) expression. These data suggest that CAR expression pattern and hypoxic condition of tumor are considered for optimal oncolytic adenovirus application.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6341-6345
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• 2013

To clarify the role of stem cells in hepatocarcinogenesis, glypican-3 (GPC-3) and E-cadherin expression was investigated in embryonic cell lineages. Mouse embryonic stem cells (ESCs), hepatic progenitor cells (HPCs) and hepatocyte like cells (HCs), representing 0, 22 and 40 days of differentiation, respectively, were treated in vitro with diethylnitrosamine (DEN) at four doses (0, 1, 5 and 15 mM; G1, G2, G3 and G4, respectively) for 24 h and GPC-3 and E-cadherin expression was examined by relative quantitative real-time PCR and immunocytochemistry. GPC-3 mRNA expression was significantly different for G4 at day 0 (p<0.001) and for G4 at day 22 (p<0.01) compared with the control (G1). E-cadherin mRNA expression was significantly different for G3 and G4 at day 0 (p<0.05 and p<0.001, respectively), for G2 and G4 (p<0.05 and p<0.001, respectively) at day 22 and for G2 and G4 (p<0.01 and p<0.001, respectively) at day 40 compared with G1. Immunofluorescence staining for GPC-3 showed a membranous and/or granular expression in cytoplasm of ESCs and HPCs and granular and/or diffuse expression in cytoplasm of HCs, which were also stained by E-cadherin. DEN treatment increased GPC-3 expression in ESCs, HPCs and HCs, with increase of E-cadherin expression. Taken together, the expression of GPC-3 was altered by DEN treatment. However, its expression pattern was different at the stage of embryo stem cells and its derived hepatic lineage cells. This suggests that GPC-3 expression may be modulated in the progeny of stem cells during their differentiation toward hepatocytes, associated with E-cadherin expression.

• Development and Reproduction
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• v.24 no.3
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• pp.167-176
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• 2020

The fat pad defined as the epididymal fat is located at the head part of the epididymis. However, another fat mass is present near the caudal epididymis, named tail epididymal fat. The present research was focused to determine the expression of adipocyte-associated molecules in the mouse tail epididymal fat at different postnatal ages, including 2, 5, 8, and 12 months of age. The quantitative real-time PCR analysis showed continuous increases of expression levels of delta like non-canonical Notch ligand 1, leptin, and resistin as postnatally aged. The transcript level of peroxisome proliferator-activated receptor gamma was the highest at 5 months of age, remaining at a steady level until 12 months of age. Expression levels of fatty acid binding protein 4, leptin, and adiponectin were significantly increased until 8 months of age, persisting the level at 12 months of age. The transcript level of fatty acid synthase was significantly increased at 8 months of age, without a further change of the level at 12 months of age. These findings exhibited the expression of adipocyte-associated genes which were also detected at the ordinary epididymal fat pad. However, expression patterns of these genes in the tail epididymal fat are different with those in the distal and proximal epididymal fat, suggesting distinct characteristics and/or functions of the tail epididymal fat.