• Genomics & Informatics
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• v.9 no.1
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• pp.37-38
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• 2011

Biobank Impact Factor (BIF), which is a very effective criterion to evaluate the activity of biobanks, can be estimated by the citation information of biobanks from scientific papers. We have developed a program, ManBIF, to investigate the citation information from PDF files in the literature. The program manages a dictionary for expressions to represent biobanks and their resources, mines the citation information by converting PDF files to text files and searching with a dictionary, and produces a statistical report file. It can be used as an important tool by biobanks.

• Microbiology and Biotechnology Letters
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• v.50 no.4
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• pp.533-547
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• 2022

This study investigated the hair growth effect of Schisandra chinensis extract (TS-SC) and TS-SC fermented by Lactobacillus plantarum (TS-SCLF) on human dermal papilla cells (hDPCs). The production of vascular endothelial growth factor (VEGF), insulin-like growth factor 1 (IGF-1), keratinocyte growth factor/fibroblast growth factor 7 (KGF/FGF-7) and hepatocyte growth factor (HGF), transforming growth factor beta 1 (TGF-β1) were examined. The secretion rates of VEGF and KGF/FGF-7 were high in TS-SC, and the secretion rates of IGF-1 and HGF were high in TS-SCLF. TGF-β1 was inhibited in a concentration-dependent manner in all samples. Gene expression of VEGF, IGF-1, KGF, HGF and alkaline phosphatase, relevant to hair growth, were examined. The data revealed that TS-SC and TS-SCLF successfully promoted hair growth in hDPCs. The IGF-1 gene was expressed in a dose-dependent manner in TS-SCLF. These results indicate that TS-SC and TS-SCLF fermented extract effectively promoted hair growth and gene expression relevant to hair growth in hDPCs. Used in clinical trials the test substance 'CMK-LPF01' showed a statistically significant increase in the number of hairs at 8 weeks, 16 weeks, and 24 weeks compared to before product use, and a change in hair growth, a secondary efficacy evaluation variable. Through additional research in the future, it is expected that "CMK-LPF01" can be developed as a functional material that can help alleviate symptoms of hair loss.

• Journal of Biomedical Engineering Research
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• v.44 no.4
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• pp.255-263
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• 2023

Clinical ultrasound (US) is a widely used imaging modality with various clinical applications. However, capturing a large field of view often requires specialized transducers which have limitations for specific clinical scenarios. Panoramic imaging offers an alternative approach by sequentially aligning image sections acquired from freehand sweeps using a standard transducer. To reconstruct a 3D volume from these 2D sections, an external device can be employed to track the transducer's motion accurately. However, the presence of optical or electrical interferences in a clinical setting often leads to incorrect measurements from such sensors. In this paper, we propose a deep learning (DL) framework that enables the prediction of scan trajectories using only US data, eliminating the need for an external tracking device. Our approach incorporates diverse data types, including correlation volume, optical flow, B-mode images, and rawer data (IQ data). We develop a DL network capable of effectively handling these data types and introduce an attention technique to emphasize crucial local areas for precise trajectory prediction. Through extensive experimentation, we demonstrate the superiority of our proposed method over other DL-based approaches in terms of long trajectory prediction performance. Our findings highlight the potential of employing DL techniques for trajectory estimation in clinical ultrasound, offering a promising alternative for panoramic imaging.

• Journal of Biomedical Engineering Research
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• v.31 no.5
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• pp.375-384
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• 2010

The purpose of this study is to determine whether there is a correlation between the segmental bio-impedance measurement with the frequency modulations and the life-style disease of obesity. An obesity is not simply the factor for estimating the life-style disease of obesity, but also the risk factor occurring. There are many methods (BMI, WHR, Waist, CT, DEXA, BIA, etc.) for measuring a degree of obesity; the bio-impedance measurement is more economic and more effective than others. The physical examination, the blood test, the medical imaging diagnosis and the bio-impedancemeasurementswithmultiple frequencies for each body parts have been conducted for 77 people. The estimated value has been calculated through a segmental bio-impedance model based on multi-frequency that was created to reflect the highest correlation by analyzing correlation with linear regression analysis method for the measured bio-impedance and the risk factors. Then we compared with the clinical diagnosis. In case of high level cholesterol, low HDL-C and high LDL-C for life-style disease, the sensitivity is 80~100%and the specificity is 83~100%. This study has shown conclusively that bio-impedance can be a possible predictor to analyze the disease risk rate of population and individual health maintenance. And also the multi-frequency segmental bio-impedance can be used as early predictor to estimate the life-style disease of obesity.

• 한국생물공학회:학술대회논문집
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• 2005.10a
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• pp.941-941
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• 2005

• Bulletin of the Korean Chemical Society
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• v.31 no.12
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• pp.3826-3829
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• 2010

• 한국생물공학회:학술대회논문집
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• 2005.04a
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• pp.531-531
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• 2005

• 한국생물공학회:학술대회논문집
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• 2005.04a
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• pp.509-509
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• 2005

• 한국생물공학회:학술대회논문집
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• 2005.04a
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• pp.508-508
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• 2005

• Proceedings of the KOSOMBE Conference
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• v.1996 no.11
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• pp.182-184
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• 1996

Electrogastrography(EGG) is the technique by which gastric myoelectrical activity is recorded noninvasively, from surface electrodes on the abdominal skin. In older to know the relation between the signal of the gastric mil and the EGG signal, we measured the gastric myoelectrical activity in animals using surface electrodes and serosal electrodes, and measured the gastric contraction simultaneously using a strain gauge attached to the gastric wall we compared the signals with and without the gastric contraction.