• Science of Emotion and Sensibility
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• v.14 no.1
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• pp.157-164
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• 2011

Emotion science is one of the rapidly expanding engineering/scientific disciplines which has a major impact on human society. Such growing interests in emotion science and engineering owe the recent trend that various academic fields are being merged. In this paper we propose the potential importance of the biochip technology in which the human emotion can be precisely measured in real time using body fluids such as blood, saliva and sweat. We firstly and newly name such a biochip an Emotion-On-a-Chip (EOC). EOC consists of biological markers to measure the emotion, electrode to acquire the signal, transducer to transfer the signal and display to show the result. In particular, microfabrication techniques made it possible to construct nano/micron scale sensing parts/chips to accommodate the biological molecules to capture the emotional bio-markers and gave us a new opportunities to investigate the emotion precisely. Future developments in the EOC techniques will be able to help combine the social sciences and natural sciences, and consequently expand the scope of studies.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2006.02a
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• pp.116-123
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• 2006

생물체의 cDNA를 유리기판위에 고밀도로 첨착 시킨 유전자 칩과 정량적인 방법으로 개별 유전자 발현을 진단 가능한 Real- time PCR (실시간 고분자중합연쇄반응 기술) 기법은 첨단 의학분야와 신약개발 및 독성유전체 연구분야에 활발히 도입되고 있는 기술이다. 본 발표의 첫 번째 부분에서는 유전자칩 에서 얻어진 유전자 발현패턴분석에 기반한 바이오마커 선정 및 real time PCR에 의한 확증 관련 기술 과 유전자칩에서 얻어지는 수많은 데이터를 재정렬 및 다양한 분석기법과 display기술을 활용하여 광범위한 화학물질에 대한 독성효과 분석을 가능하게 해주며, 특정 독성물질에 대한 관련유전자 그룹 발견 및 독성영향에 따른 분류방법에 관한 결과를 발표할 것이다. 또한 바이오마커 활용의 하나로 박테리아세포 기반 바이오센서 제작및 세포칩 개발등에 대한 결과도 추가될 것이다. 두 번째 부분에서는 non-model organism(유전체정보가 확보되지 않은 생물체)인 송사리를 이용하여 새로운 2K 유전자칩을 개발하고, 여기서 각종 화학물질에 대하여 얻어진 수많은 유전자칩 분석 데이타를 활용하여 각각의 화학물질이 보여주는 독성효과를 매우 효과적이고 쉽게 이해할 수 있는 display기술을 개발, 적용함으로써 유전자칩 발현에 기반한 화학물질 독성 screening 및 specificity discrimination을 가능케 하는 예가 발표될 것이다. 이 연구에서 개발한 송사리 유전자칩은 간조직의 RNA를 직접 cDNA화 하는 방식을 취하고 있어 전체 송사리의 유전정보를 필요로 하지 않아 비용 및 효율에서 전체 송사리의 유전정보를 얻는 비용과 노력을 취하지 않고 간에서 발생하는 독성학적 영향 및 유전자의 발현정도를 정밀하고 효율적인 방법으로 얻어 낸다. 현재 2000여개의 cDNA유전자중 50%이상의 유전자가 17베타에스트라디올, 페놀, 노닐페놀, 비스페놀, 감마레이조사, 잔류약품중 이보프란, 다이클로펜악, 농약중의 파라???R, 돌연변이 유발물질 중의 이티비알, 금속류중의 카드뮴을 통해 발현양상과 특정 캐미칼별 발현 특이성이 조사되었고, 이들 유전자는 염기서열 분석을 통해 염기서열이 분석되었으며, 미국 NCBI의 유전자 은행과의 비교를 통해 일부유전자는 새로운 유전자로 밝혀지고 있다. 또한 이 발표에서는 소염진통제계열 의약품인 dichlofenac 이 송사리의 각종 조직에 미치는 독성영향을 Real-time PCR을 이용하여 대표적 스트레스 유전자의 발현에 미치는 영향에 대한 분석 예가 발표될 것이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1046-1052
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• 2021

Artificial intelligence is being applied in various industrial fields to the development of the fourth industry and the construction of high-performance computing environments. In the medical field, deep learning learning such as cancer, COVID-19, and bone age measurement was performed using medical images such as X-Ray, MRI, and PET and clinical data. In addition, ICT medical fusion technology is being researched by applying smart medical devices, IoT devices and deep learning algorithms. Among these techniques, medical image-based deep learning learning requires accurate finding of medical image biomarkers, minimal loss rate and high accuracy. Therefore, in this paper, we would like to compare and analyze the performance of the Cross-Entropy function used in the image classification algorithm of the loss function that derives the loss rate in the chest X-Ray image-based deep learning learning process.

• Journal of the Korean Society for Precision Engineering
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• v.23 no.3 s.180
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• pp.179-186
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• 2006

Single-walled carbon nanotubes (SWNT) exhibit strong Raman signals as well as fluorescence emissions in the near infrared regions where most biomolecules are transparent. Such signals do not blink or photobleach under prolonged excitation. which is advantageous to optical nano-bio marker applications. In this paper, single walled carbon nanotubes are conjugated with specific types of single-stranded DNA in order to detect oligonucleotides of corresponding complimentary sequences. Dot blotting experiments and comparative Raman spectroscopy observations demonstrated excellent sensitivity and specificity of carbon nanotube-DNA probes. The results show the possibility of using SWNT as generic nano-bio markers for the precise detection of specific kinds of genes.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.180-183
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• 2011

본 논문에서는 진단 검사 의학 분야에서 통계적 지식이나 도구사용능력이 부족한 임상의학자들을 위해 개발된 통계적 데이터 분석 시스템을 소개한다. 개발된 시스템은 질병진단에 필요한 다중 바이오마커 데이터를 Luminex장비를 통하여 측정한 후, 분석이 용이한 형태로 변환하는 시각화 기술과 데이터에 내재된 패턴을 찾아내어 유용한 지식을 생성하는 데이터 마이닝 기술을 포함한다. 주요 모듈로는 마커선택, 데이터 시각화, 마커 평가 모듈로 구성되며 MATLAB을 기반으로 개발되었다.

• Journal of Life Science
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• v.33 no.10
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• pp.808-819
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• 2023

This study was conducted to develop a selection marker for the identification of the Bacillus licheniformis K12 strain in microbial communities. The strain not only demonstrates good growth at moderate temperatures but also contains enzymes that catalyze the decomposition of various polymer materials, such as proteases, amylases, cellulases, lipases, and xylanases. To identify molecular markers appropriate for use in a microbial community, a search was conducted to identify variable gene regions that show considerable genetic mutations, such as recombinase, integration, and transposase sites, as well as phase-related genes. As a result, five areas were identified that have potential as selection markers. The candidate markers were two recombinase sites (BLK1 and BLK2), two integration sites (BLK3 and BLK4), and one phase-related site (BLK5). A PCR analysis performed with different Bacillus species (e.g., B. licheniformis, Bacillus velezensis, Bacillus subtilis, and Bacillus cereus) confirmed that PCR products appeared at specific locations in B. licheniformis: BLK1 in recombinase, BLK2 in recombinase family protein, and BLK3 and BLK4 as site-specific integrations. In addition, BLK1 and BLK3 were identified as good candidate markers via a PCR analysis performed on subspecies of standard B. licheniformis strains. Therefore, the findings suggest that BLK1 can be used as a selection marker for B. licheniformis species and subspecies in the microbiome.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.9
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• pp.1457-1462
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• 2004

This study was conducted to investigate the effects of Aralia elata, Acanthopanacis cortex and Ulmus davidiana water extracts on plasma glucose and biomarkers in the streptozotocin (STZ)-induced diabetic rats. Male Wistar rats were divided into normal and diabetic groups. The diabetic groups subdivided into the control group (DM), Aralia elata (DM-AE), Acanthopanacis cortex (DM-AC) and Ulmus davidiana (DM-UD). The extracts were supplemented in diet base on 11.42 g of raw materials/㎏ diet for 7 weeks. The diabetes was induced by injecting STZ (55 ㎎/㎏ B.W., i.p.) once 2 weeks before sacrifying. Plasma glucose level was significantly higher in the DM group than in the normal group, whereas insulin and C-peptide concentrations were significantly lowered in the DM groups compared to the normal group. These parameters were normalized in the DM-AE, DM-AC and DM-UD supplemented groups. Plasma albumin content was significantly lowered in the DM group compared to the normal group, yet it was significantly higher in the DM-AE group than in the DM group. Bilirubin and creatinine contents were elevated in the DM group, while the supplementation of Aralia elata, Acanthopanacis cortex and Ulmus davidiana water extracts ameliorate the change of these contents in STZ-induced diabetic rats. Plasma AST, ALT, ALP and LDH activities were significantly higher in the DM group than in the normal groups. The supplementation of Araliaceae family water extracts significantly lowered these parameters compared to the DM group. Accordingly, these results indicate that Aralia elata, Acanthopanacis cortex and Ulmus davidiana water extracts would seem to improve the glucose and biomarker in STZ-induced diabetic rats.

• Journal of the Korean Society for Marine Environment & Energy
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• v.15 no.3
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• pp.238-246
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• 2012

Once oil is spilled into marine environment, it experiences various weathering processes among which evaporation is the most dominant process in the initial stage of weathering. This study aimed to elucidate the effects of evaporation on the physicochemical properties of spilled oil using standardized laboratory experiments. Laboratory evaporation process was successfully reproduced using controlled rotary evaporation method. In case of Iranian Heavy crude (IHC), evaporation rate after 48 hours was $29.3{\pm}0.4%$ (n=40, p<0.001). Evaporation was simulated using ADIOS2 weathering model and the result was in agreement with laboratory experiment. Chemical composition changes of petroleum hydrocarbons including alkanes, polycyclic aromatic hydrocarbons (PAHs) and biomarkers by evaporation rate were also analyzed. As oil evaporated, low molecular weight alkanes and PAHs decreased, while biomakers showed conservative characteristics. Among biomarkers, $17{\alpha}(H)$, $21{\beta}(H)$-hopane was used for calculation of weathering rates, which matched with evaporative mass losses. Weathering rate calculation using hopane showed that stranded oils of weathering stage I (28.9%) and mesocosm oil weathering experiment till 5 days (26.5%) were mainly affected by evaporation process.

• Proceedings of the Malacological Society of Korea Conference
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• 2005.07a
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• pp.17-18
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• 2005

• Proceedings of the Korean Society of Crop Science Conference
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• 2018.10a
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• pp.277-277
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• 2018