• Journal of Microbiology and Biotechnology
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• v.32 no.3
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• pp.278-286
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• 2022

Live bacterial vector vaccines are one of the most promising vaccine types and have the advantages of low cost, flexibility, and good safety. Meanwhile, protein secretion systems have been reported as useful tools to facilitate the release of heterologous antigen proteins from bacterial vectors. The twin-arginine translocation (Tat) system is an important protein export system that transports fully folded proteins in a signal peptide-dependent manner. In this study, we constructed a live vector vaccine using an engineered commensal Escherichia coli strain in which amiA and amiC genes were deleted, resulting in a leaky outer membrane that allows the release of periplasmic proteins to the extracellular environment. The protective antigen proteins SLY, enolase, and Sbp against Streptococcus suis were targeted to the Tat pathway by fusing a Tat signal peptide. Our results showed that by exploiting the Tat pathway and the outer membrane-defective E. coli strain, the antigen proteins were successfully secreted. The strains secreting the antigen proteins were used to vaccinate mice. After S. suis challenge, the vaccinated group showed significantly higher survival and milder clinical symptoms compared with the vector group. Further analysis showed that the mice in the vaccinated group had lower burdens of bacteria load and slighter pathological changes. Our study reports a novel live bacterial vector vaccine that uses the Tat system and provides a new alternative for developing S. suis vaccine.

• Journal of Sericultural and Entomological Science
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• v.50 no.2
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• pp.87-92
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• 2012

We constructed the fibroin H-chain expression system to produce Discosoma sp. red fluorescent protein variant2 (DsRed2) in transgenic silkworm cocoon. Fluorescent cocoon could be made by fusing DsRed2 cDNA to the heavy chain gene and injecting it into a silkworm. The DsRed2 fusion protein, each with N- and C-terminal sequences of the fibroin H-chain, was designed to be secreted into the lumen of the posterior silk glands. The expression of the DsRed2/H-chain fusion gene was regulated by the fibroin H-chain promoter. The use of the 3xP3-driven EGFP cDNA as a marker allowed us to rapidly distinguish transgenic silkworms. The EGFP fluorescence became visible in the ocelli and in the central and peripheral nervous system on the seventh day of embryonic development. A mixture of the donor and helper vector was micro-injected into 1,020 Kumokjam, bivoltin silkworm eggs. We obtained 6 broods. The cocoon was displayed strong red fluorescence, proving that the fusion protein was present in the cocoon. Accordingly, we suggest that the DsRed2 fluorescence silk will enable the production of novel biomaterial based on the transgenic silk.

• Journal of Microbiology and Biotechnology
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• v.25 no.7
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• pp.999-1006
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• 2015

The endo-polygalacturonase gene (endo-pgaA) was cloned from DNA of Aspergillus niger SC323 using the cDNA synthesized by overlapping PCR, and successfully expressed in Saccharomyces cerevisiae EBY100 through fusing the α-factor signal peptide of yeast. The fulllength cDNA consists of 1,113 bp and encodes a protein of 370 amino acids with a calculated molecular mass of 38.8 kDa. After induction by galactose for 48 h, the activity of recombinant endo-PgaA in the culture supernatant can reach up to 1,448.48 U/mg. The recombinant protein was purified to homogeneity by ammonium sulfate precipitation and gel filtration column chromatography and subsequently characterized. The optimal pH and temperature of the purified recombinant enzyme were 5.0 and 50℃, respectively. The Michaelis-Menten constant (K_m) and maximal velocity (V_max) of the enzyme for pectin were 88.54 μmol/ml and 175.44 μmol/mg/min, respectively. The enzyme activity was enhanced by Ca²⁺, Cu²⁺, and Na⁺, and strongly inhibited by Pb²⁺ and Mn²⁺. The pectin hydrolysates were mainly galacturonic acid and other oligo-galacturonates. Therefore, these characteristics suggest that the recombinant endo-PgaA may be of potential use in the food and feed industries.

• Journal of Sericultural and Entomological Science
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• v.52 no.2
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• pp.102-109
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• 2014

We constructed the fibroin H-chain expression system to produce enhanced yellow fluorescent proteins (EYFP) in the silk of transgenic silkworm. Fluorescent silk could be made by fusing EYFP cDNA to the heavy chain gene and injecting it into a silkworm. The EYFP fusion protein, each with N- and C-terminal sequences of the fibroin H-chain, was designed to be secreted into the lumen of the posterior silk glands. The expression of the EYFP/H-chain fusion gene was regulated by the fibroin H-chain promoter. The yellow fluorescence proving that the fusion protein was present in the silk. Accordingly, we suggest that the EYFP fluorescence silk will enable the production of novel biomaterial based on the transgenic silk.

• Archives of design research
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• v.19 no.1 s.63
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• pp.303-316
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• 2006

Eclecticism, fusing and mixing heterogeneous and contrasting elements to create a new awareness of beauty, is based on diversity and pluralism, and as such fits well with the demand of the contemporaries who pursue individualization and diversification, which explains the current vogue for Eclecticism. As a precondition to grasp eclectic styles that are expressed in modern textile design, this study looks into the characteristics of eclecticism in modern art and applies the insight so gained to textile design in an attempt to understand transformations of modern textile design by considering the aesthetic effects and plastic characteristics suggested by the new trend. The result of our research indicates that the trends that characterize modern textile design can be divided into three categories as follows: 1) Mixing of high culture and low culture through cultural fusion, 2) Fusion of differing sensitivities through blending of times, 3) Blending of regional characteristics through geographical mixing. Characteristics of textile designs as influenced by these trends can be summarized as: 1) a conversion in the way textile designs are viewed, 2) increasing emphasis on the playfulness of representation and 3) multi-cultural expressions. In short, eclecticism of textile design represents a phase of modern society that is increasingly oriented toward multifacetedness and points to a direction for a new possibility of future textile designs, necessitating a continuous research along this line.

• Korean Journal of Veterinary Research
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• v.40 no.1
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• pp.130-137
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• 2000

In order to diagnose canine heartworm infection by antigen capture ELISA, the crude somatic(S), partial somatic(below 45kDa) and excretory/secretory(E/S) antigen of adult heartworm were identified and the antigenicity was examined by silver stain, immunoblot and ELISA. Then, production of monoclonal antibody to specific antigen carried out in this experiment. The bands to S antigen and E/S antigen were recognized between 10 and 200kDa and common bands were recognized strongly 14, 18, 28, 43kDa by silver stain. By western blot analysis, fractions to S antigen were recognized 14, 16, 18, 20, 24, 28, 32, 43, 50, 55kDa, etc. and only a 14kDa to E/S antigen in positive sera which were positive in modified Knott's test and necropsy. In ELISA, the positive sera reacted to antigens(SA, $SA_{45}$, E/S) were significantly different from negative sera by Student's t-test(p<0.05). Four hybridoma cell lines(14, 16, 17, 32kDa) than produce specific monoclonal antibodies for these antigens were obtained by immunizing BALB/c mice with a partially purified somatic antigen (below 45kDa) preparation, by fusing spleen cells with SP2/O cell myeloma cells, and by screening cell culture supernatants for antibody. In these results, it was confirmed that partial somatic antigen(below 45kDa) or E/S antigen can be used for serologic diagnosis of heartworm infection and monoclonal antibody reacting with specific antigen(14kDa) can be used for antigen capture ELISA in prepatent period of canine heartworm infection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.10
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• pp.4060-4079
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• 2020

Blur is an important type of image distortion. How to evaluate the quality of blurred image accurately and efficiently is a research hotspot in the field of image processing in recent years. Inspired by the multi-scale perceptual characteristics of the human visual system (HVS), this paper presents a no-reference image blur/sharpness assessment method based on multi-scale local features in the spatial domain. First, considering various content has different sensitivity to blur distortion, the image is divided into smooth, edge, and texture regions in blocks. Then, the Gaussian scale space of the image is constructed, and the categorized contrast features between the original image and the Gaussian scale space images are calculated to express the blur degree of different image contents. To simulate the impact of viewing distance on blur distortion, the distribution characteristics of local maximum gradient of multi-resolution images were also calculated in the spatial domain. Finally, the image blur assessment model is obtained by fusing all features and learning the mapping from features to quality scores by support vector regression (SVR). Performance of the proposed method is evaluated on four synthetically blurred databases and one real blurred database. The experimental results demonstrate that our method can produce quality scores more consistent with subjective evaluations than other methods, especially for real burred images.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.177-186
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• 2017

Recently, Autonomous vehicles are getting hot attention. Amazon, the biggest online shopping service provider is developing a delivery system that uses drones. This kinds of platforms are need accurate attitude information for navigation. In this paper, a structure design of AHRS using low-cost inertia sensor is proposed. To estimate attitudes a Kalman filter which uses a quaternion based dynamic model, bias-removed measurements from MEMS Gyro, raw measurements from MEMS accelerometer and magnetometer, is designed. To remove bias from MEMS Gyro, an additional Kalman filter which uses raw Gyro measurements and attitude estimates, is designed. The performance of implemented AHRS is compared with high price off-the-shelf 3DM-GX3-25 AHRS from Microstrain. The Gyro bias was estimated within 0.0001[deg/s]. And from the estimated attitude, roll and pitch angle error is smaller than 0.2 and 0.3 degree. Yaw angle error is smaller than 6 degree.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.361-370
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• 2017

In this paper, correlation analysis was performed between questionnaire and machine learning based aggressive tendency measurements. this study is part of a aggressive driver detection using machine learning and questionnaire. To collect two types tendency from questionnaire and measurements system, we constructed experiments environments and acquired the data from 30 drivers. In experiment, the machine learning based aggressive tendency measurements system was designed using a driver behavior detection model. And the model was constructed using accelerate and brake position data and hidden markov model method through supervised learning. We performed a correlation analysis between two types tendency using Pearson method. The result was represented to high correlation. The results will be utilize for fusing questionnaire and machine learning. Furthermore, It is verified that the machine learning based aggressive tendency is unique to each driver. The aggressive tendency of driver will be utilized as measurements for advanced driver assistance system such as attention assist, driver identification and anti-theft system.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1706-1725
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• 2024

The unique U-shaped structure of U-Net network makes it achieve good performance in image segmentation. This network is a lightweight network with a small number of parameters for small image segmentation datasets. However, when the medical image to be segmented contains a lot of detailed information, the segmentation results cannot fully meet the actual requirements. In order to achieve higher accuracy of medical image segmentation, a novel improved U-Net network architecture called multi-scale encoder-decoder U-Net+ (MEDU-Net+) is proposed in this paper. We design the GoogLeNet for achieving more information at the encoder of the proposed MEDU-Net+, and present the multi-scale feature extraction for fusing semantic information of different scales in the encoder and decoder. Meanwhile, we also introduce the layer-by-layer skip connection to connect the information of each layer, so that there is no need to encode the last layer and return the information. The proposed MEDU-Net+ divides the unknown depth network into each part of deconvolution layer to replace the direct connection of the encoder and decoder in U-Net. In addition, a new combined loss function is proposed to extract more edge information by combining the advantages of the generalized dice and the focal loss functions. Finally, we validate our proposed MEDU-Net+ MEDU-Net+ and other classic medical image segmentation networks on three medical image datasets. The experimental results show that our proposed MEDU-Net+ has prominent superior performance compared with other medical image segmentation networks.