• Journal of Microbiology and Biotechnology
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• v.30 no.5
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• pp.689-699
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• 2020

Brevibacillus brevis GZDF3 is a gram-positive, plant growth-promoting rhizosphere bacterium (PGPR) isolated from the rhizosphere soil of Pinellia ternata (an important herb in traditional Chinese medicine). The GZDF3 strain produces certain active compounds, such as siderophores, which are the final metabolite products of non-ribosomal peptide synthetase (NRPS) and independent non-ribosomal peptide synthetase (NIS) activity. With the present study, we attempted to investigate the siderophore production characteristics and conditions of Bacillus sp. GZDF3. The antibacterial activity of the siderophores on pathogenic fungi was also investigated. Optimal conditions for the synthesis of siderophores were determined by single factor method, using sucrose 15 g/l, asparagine 2 g/l, 32℃, and 48 h. The optimized sucrose asparagine medium significantly increased the production of siderophores, from 27.09% to 54.99%. Moreover, the effects of different kinds of metal ions on siderophore production were explored here. We found that Fe³⁺ and Cu²⁺ significantly inhibited the synthesis of siderophores. The preliminary separation and purification of siderophores by immobilized-metal affinity chromatography (IMAC) provides strong antibacterial activity against Candida albicans. The synergistic effect of siderophores and amphotericin B was also demonstrated. Our results have shown that the GZDF3 strain could produce a large amount of siderophores with strong antagonistic activity, which is helpful in the development of new biological control agents.

• Journal of Biomedical Engineering Research
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• v.43 no.4
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• pp.259-270
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• 2022

Artificial intelligence (AI) has been studied in various fields of medical imaging. Currently, top-notch deep learning (DL) techniques have led to high diagnostic accuracy and fast computation. However, they are rarely used in real clinical practices because of a lack of reliability concerning their results. Most DL models can achieve high performance by extracting features from large volumes of data. However, increasing model complexity and nonlinearity turn such models into black boxes that are seldom accessible, interpretable, and transparent. As a result, scientific interest in the field of explainable artificial intelligence (XAI) is gradually emerging. This study aims to review diverse XAI approaches currently exploited in medical imaging. We identify the concepts of the methods, introduce studies applying them to imaging modalities such as computational tomography (CT), magnetic resonance imaging (MRI), and endoscopy, and lastly discuss limitations and challenges faced by XAI for future studies.

• Journal of Biomedical Engineering Research
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• v.11 no.2
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• pp.277-282
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• 1990

A workstation for archiving and communication of medical records is developed for clinical use in hospital. In this system, handwritten diagnostic reports, medical recording papers such as ECG and EEG etc., and ultrasound images are stored in optical disks instead of papers. This system improves medical service owing to speedy diagnosis by fast finding the patient's medical chart, and curtails the cost of archiving medical charts economically. If this system can be combined with already developed MPACS, then integrated medical image di- agnosis will be possible.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2011.06a
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• pp.1471-1472
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• 2011

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2004.07a
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• pp.171-171
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• 2004

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.193-196
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• 1997

This paper proposes a new medical information management system to be used or small to medium sized clinics and hospitals. The system is designed to process, analyze and manage each patient's clinical record using database technique. The structure of the database was determined and implemented through careful and rigorous study of medical practices in Korea and, therefore, reflects the needs of information management in Korean medical community. Furthermore, a sophisticated inference engine that can deduce possible disease from the result of medical examination is added to the system to provide doctors with a guideline in medical diagnoses.

• Proceedings of the Korean Society of Medical Physics Conference
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• 1999.11a
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• pp.427-428
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• 1999

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.333-336
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• 1997

The adhesion of activated and normal platelets to fibrinogen requires the receptor binding site of GPIIb/IIIa. These recognition sites exists in the A ${\alpha}$ chain(RGDS at 572-575 and RGDF at 95-98) and the carboxy-terminal of ${\gamma}$ chain (HHLGGAKQAGDV at 400-411) of fibrinogen. In this study, we developed RGDF-immobilized surface to detect the unctional state of platelet. RGDF-immobilized surface was prepared on the glass using photolithographic technology. Platelet adhesion to RGDF-immobilized surface was observed by staining platelets with mepacrine using a fluorescence microscope using mepacrine. Using the RGDF peptide of fragment E, we observed that the platelets pretreated with PGE1 interacted incompletely with RGDF-immobilized surface, whereas ADP activated platelets interacted with the surface extensively. These results show that the distinct selectivity of RGDF-immobilized micro-patterned surface can be used to detect the unctional state of platelets.

• Biomedical Engineering Letters
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• v.8 no.4
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• pp.393-398
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• 2018

This is the first study demonstrating the efficacy of menstrual blood-derived stem cell (MenSC) transplantation via decellularized human amniotic membrane (DAM), for the promotion of skin excisional wound repair. The DAM was seeded with MenSCs at the density of $3{\times}10^4cells/cm^2$ and implanted onto a rat's $1.50{\times}1.50cm^2$ full-thickness excisional wound defect. The results of wound closure and histopathological examinations demonstrated that the MenSC-seeded DAM could significantly improve the wound healing compared with DAM-treatment. All in all, our data indicated that the MenSCs can be a potential source for cell-based therapies to regenerate skin injuries.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2013.05a
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• pp.1511-1512
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• 2013