• 한국정보과학회논문지:소프트웨어및응용
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• 제33권8호
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• pp.718-729
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• 2006

일정 분야의 문서들에서 그 분야 특정을 반영하는 전문용어를 자동으로 인식하는 연구에 대한 관심이 증가하고 있다. '전문용어 인식'은 문서에서 전문용어가 될 수 있는 언어적 단위를 파악하는 '용어 추출' 과정과 '용어추출' 과정에서 얻어진 용어목록 중 해당분야의 전문용어를 고르는 '전문용어 선택' 과정으로 구성된다. '전문용어 선택' 과정은 용어목록을 전문용어의 특정에 따라 순위화한 후 타당한 전문용어를 파악하는 작업으로 정의된다. 따라서 전문용어 선택 문제는 용어목록의 순위화 작업과 순위화된 목록에서 전문용어와 비전문용어 간의 경계를 인식하는 작업으로 정의된다. 기존의 전문용어 선택 기법은 주로 용어의 빈도수 등과 같은 통계적 특정만을 이용하였다. 하지만 통계적 특정만으로는 효과적으로 전문용어를 선택하기 어렵다. 본 논문의 논제는 전문용어 선택에서 다양한 전문용어의 특정을 고려하고 이들 중 전문용어 선택에서 효과적인 특정을 찾으려는 것이다. 순위화 문제는 다양한 전문용어 특정을 도출하고 이들을 기계학습방법으로 통합하여 해결한다. 경계인식 문제는 전문용어와 비전문용어의 이진 분류 문제로 정의하고 기계학습방법으로 해결한다. 본 논문의 기법은 경계인식측면에서 78-86%의 정확률과 87% -90%의 재현율을 나타내었으며, 순위화 측면에서 89%-92%의 11포인트 평균정확률을 나타내었다. 또한 기존 연구보다 최고 26% 의 성능향상을 보였다.

• 한국자기학회지
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• 제16권2호
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• pp.144-148
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• 2006

초상자성 나노입자의 제작이 가능한 sol-gel법을 이용하여 초상자성 나노입자 $CoGa_{0.1}Fe_{1.9}O_4$를 제조하여 입자의 크기 및 자기적 성질을 x-선 회절법(XRD), 주사전자현미경(SEM) 측정과 $M\ddot{o}ssbauer$ 분광법, 진동시료 자화율 측정기(VSM)를 이용하여 연구하였다. SEM및 x-선 회절실험으로부터 250"C 이상에서 열처리한 입자가 순순한 cubic spinel구조를 가지며, $250^{\circ}C$에서 열처리한 $CoGa_{0.1}Fe_{1.9}O_4$의 평균입자 크기는 10 nm로 나타났으며 균일한 구형상 임을 알 수 있었다. VSM 측정 결과로부터 $250^{\circ}C$에서 열처리한 $CoGa_{0.1}Fe_{1.9}O_4$의 경우 상온에서 초상자성의 특성을 나타냈다. $M\ddot{o}ssbauer$ 분광실험으로 $250^{\circ}C$에서 열처리한 입자가 상온에서 초상자성의 특성을 가지고 있음을 확인할 수 있었으며 초상자성의 특성을 잃어버리는 차단온도 $T_B$는 250 K로 결정하였으며, 또한 자기이방성상수 $K=3.0X10^5\;ergs/cm^3$의 값을 얻었다 $250^{\circ}C$에서 열처리한$CoGa_{0.1}Fe_{1.9}O_4$의 경우 4.2K에서의 초미세 자기장은 $H_{hf}(B)=518,\;H_{hf}(A)=486\;kOe$이며, 이성질체 이동값은 $\delta_B=0.34$, $\delta_A=0.30$ 이 값은 A, B자리 모두 $Fe^{3+}$에 해당된다.

• KSBB Journal
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• 제30권1호
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• pp.21-26
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• 2015

Plasma is an ionized gas mixture, consisting of neutral particles, positive ions, negative electrons, electronically excited atoms and molecules, radicals, UV photons, and various reactive species. Also, plasma has unique physical properties distinct from gases, liquids, and solids. Until now, non-thermal plasmas have been widely utilized in bio-medical applications (called bio-plasma) and have been developed for the plasma-related devices that are used in the medical field. Although numerous bio-plasma studies have been performed in biomedicine, there is no confirmation of the nonthermal effect induced by bio-plasma. Standardization of the biological application of plasma has not been evaluated at the molecular level in living cells. In this context, we investigated the biological effect of bio-plasma on living cells. Hence, we treated the fibroblasts with Dielectric Bauvier Discharge bio-plasma (DBD), and assessed the characteristic change at the molecular level, one of the typical cellular responses. Heat shock protein 70 (HSP70) regulates its own protein level in response to stimuli. HSP70 responds to heat shock by increasing its own expression at the molecular level in cells. Hence, we confirmed the level of HSP70 after treatment of mouse embryonic fibroblasts (MEFs) with DBD. Interestingly, DBD-plasma induced cell death, but there was no difference in the level of HSP70, which is induced by heat shock stimuli, in DBD-treated MEFs. Our data provide the basic information on the interaction between MEFs and DBD, and can help to design a molecular approach in this field.

• 한국융합학회논문지
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• 제12권10호
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• pp.343-352
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• 2021

본 연구는 간호대학생을 대상으로 핵심수기술 자가학습용 모바일 앱을 개발하고, 유용성을 평가하기 위해 실시된 융합적 연구이다. 모바일 앱 평가도구(MARS)와 7개의 서술형 문항을 사용하여 22명의 간호대학생을 대상으로 모바일 앱의 유용성 평가하였다. 정보제공성 영역이 4.19(SD 0.79)점으로 가장 높았으며, 주관적 앱의 질영역이 3.08(SD 0.87)점으로 가장 낮은 평가를 받았다. 대상자의 핵심수기술 수행자신감은 8.23(SD 1.60)점 이었으며, 학습만족도는 7.89(SD 0.87)점이었다. 또한, 서술형 문항에서 학생들은 시공간의 제약이 없는 편리성과 반복적인 자가학습이 가능하다는 점을 가장 큰 강점으로 꼽았으며, 디자인과 기술적인 보완, 교수자 피드백의 필요성을 언급하였다. 본 융합연구의 결과를 활용하여 핵심수기술 자가학습의 효과적인 학습 촉매제로 모바일 앱의 사용을 도모할 수 있을 것이며, 향후 간호대학생의 핵심수기술 수행역량에 대한 모바일 앱의 효과연구가 필요하다.

• Journal of Ginseng Research
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• 제45권4호
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• pp.482-489
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• 2021

Background: Asthma is an incurable hyper-responsive disease of the pulmonary system that is caused by various allergens, including indoor and outdoor stimulators. According to the Global Asthma Network, 339 million people suffered from asthma in 2018, with particularly severe forms in children. Numerous treatments for asthma are available; however, they are frequently associated with adverse effects such as growth retardation, neurological disorders (e.g., catatonia, poor concentration, and insomnia), and physiological disorders (e.g., immunosuppression, hypertension, hyperglycemia, and osteoporosis). Methods: Korean Red Ginseng has long been used to treat numerous diseases in many countries, and we investigated the anti-asthmatic effects and mechanisms of action of Korean Red Ginseng. Eighty-four BALB/c mice were assigned to 6 treatment groups: control, ovalbumin-induced asthma group, dexamethasone treatment group, and 3 groups treated with Korean Red Ginseng water extract (KRGWE) at 5, 25, or 50 mg/kg/day for 5 days. Anti-asthmatic effects of KRGWE were assessed based on biological changes, such as white blood cell counts and differential counts in the bronchoalveolar lavage fluid, serum IgE levels, and histopathological changes in the lungs, and by examining anti-asthmatic mechanisms, such as the cytokines associated with Th1, Th2, and Treg cells and inflammation pathways. Results: KRGWE affected ovalbumin-induced changes, such as increased white blood cell counts, increased IgE levels, and morphological changes (mucous hypersecretion, epithelial cell hyperplasia, inflammatory cell infiltration) by downregulating cytokines such as IL-12, IL-4, and IL-6 via GATA-3 inactivation and suppression of inflammation via NF-κB/COX-2 and PGE₂ pathways. Conclusion: KRGWE is a promising drug for asthma treatment.

• 한국융합학회논문지
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• 제12권1호
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• pp.369-377
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• 2021

보건의료 환경에서 증강현실 스마트글라스는 업무의 흐름에 방해 없이 환자나 치료 관련 정보를 제공할 수 있다는 장점이 있다. 또한 보건의료 시뮬레이션에서 증강현실 스마트글라스의 도입으로 학생들은 원격협업과 실시간 정보활용을 통해 수행자신감을 키울 수 있다. 본 논문은 보건의료 시뮬레이션에서 증강현실 스마트글라스 활용에 대한 인식과 태도를 보건의료 전공 대학생, 컴퓨터 전공 대학생, 개발자 및 교수진을 대상으로 조사하였다. 편의표집을 통해 95명의 데이터를 수집, SPSS 25.0을 활용한 통계분석이 이루어졌다. 증강현실 스마트글라스에 대한 인식과 태도 조사결과 개발자와 교수진 집단에서 가장 높은 점수가 확인되었고, 모든 항목에서 보건의료전공 학생이 컴퓨터전공 학생보다 인식과 태도점수가 높게 확인되었다. 증강현실 스마트글라스 시뮬레이션을 통한 기술 습득에 대한 기대가 가장 컸고, 큰 화면과 성능이 중요한 요소로 보고되었다. 보건의료전공 대학생과 컴퓨터전공 대학생의 인식과 태도의 차이에 대한 자세한 원인분석을 통해 융합 연구를 위한 전략 수립이 증강현실 스마트글라스 기술의 보건의료에서의 활발한 적용을 가능하게 할 것이다.

• Biomolecules & Therapeutics
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• 제29권5호
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• pp.465-482
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• 2021

Lipids, which along with carbohydrates and proteins are among the most important nutrients for the living organism, have a variety of biological functions that can be applied widely in biomedicine. A fatty acid, the most fundamental biological lipid, may be classified by length of its aliphatic chain, and the short-, medium-, and long-chain fatty acids and each have distinct biological activities with therapeutic relevance. For example, short-chain fatty acids have immune regulatory activities and could be useful against autoimmune disease; medium-chain fatty acids generate ketogenic metabolites and may be used to control seizure; and some metabolites oxidized from long-chain fatty acids could be used to treat metabolic disorders. Glycerolipids play important roles in pathological environments, such as those of cancers or metabolic disorders, and thus are regarded as a potential therapeutic target. Phospholipids represent the main building unit of the plasma membrane of cells, and play key roles in cellular signaling. Due to their physical properties, glycerophospholipids are frequently used as pharmaceutical ingredients, in addition to being potential novel drug targets for treating disease. Sphingolipids, which comprise another component of the plasma membrane, have their own distinct biological functions and have been investigated in nanotechnological applications such as drug delivery systems. Saccharolipids, which are derived from bacteria, have endotoxin effects that stimulate the immune system. Chemically modified saccharolipids might be useful for cancer immunotherapy or as vaccine adjuvants. This review will address the important biological function of several key lipids and offer critical insights into their potential therapeutic applications.

• 대한의용생체공학회:의공학회지
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• 제43권5호
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• pp.341-352
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• 2022

Medical image segmentation is the most important task in radiation therapy. Especially, when segmenting medical images, the liver is one of the most difficult organs to segment because it has various shapes and is close to other organs. Therefore, automatic segmentation of the liver in computed tomography (CT) images is a difficult task. Since tumors also have low contrast in surrounding tissues, and the shape, location, size, and number of tumors vary from patient to patient, accurate tumor segmentation takes a long time. In this study, we propose a method algorithm for automatically segmenting the liver and tumor for this purpose. As an advantage of setting the boundaries of the tumor, the liver and tumor were automatically segmented from the CT image using the 2D CoordConv DeepLab V3+ model using the CoordConv layer. For tumors, only cropped liver images were used to improve accuracy. Additionally, to increase the segmentation accuracy, augmentation, preprocess, loss function, and hyperparameter were used to find optimal values. We compared the CoordConv DeepLab v3+ model using the CoordConv layer and the DeepLab V3+ model without the CoordConv layer to determine whether they affected the segmentation accuracy. The data sets used included 131 hepatic tumor segmentation (LiTS) challenge data sets (100 train sets, 16 validation sets, and 15 test sets). Additional learned data were tested using 15 clinical data from Seoul St. Mary's Hospital. The evaluation was compared with the study results learned with a two-dimensional deep learning-based model. Dice values without the CoordConv layer achieved 0.965 ± 0.01 for liver segmentation and 0.925 ± 0.04 for tumor segmentation using the LiTS data set. Results from the clinical data set achieved 0.927 ± 0.02 for liver division and 0.903 ± 0.05 for tumor division. The dice values using the CoordConv layer achieved 0.989 ± 0.02 for liver segmentation and 0.937 ± 0.07 for tumor segmentation using the LiTS data set. Results from the clinical data set achieved 0.944 ± 0.02 for liver division and 0.916 ± 0.18 for tumor division. The use of CoordConv layers improves the segmentation accuracy. The highest of the most recently published values were 0.960 and 0.749 for liver and tumor division, respectively. However, better performance was achieved with 0.989 and 0.937 results for liver and tumor, which would have been used with the algorithm proposed in this study. The algorithm proposed in this study can play a useful role in treatment planning by improving contouring accuracy and reducing time when segmentation evaluation of liver and tumor is performed. And accurate identification of liver anatomy in medical imaging applications, such as surgical planning, as well as radiotherapy, which can leverage the findings of this study, can help clinical evaluation of the risks and benefits of liver intervention.

• Journal of Veterinary Science
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• 제23권5호
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• pp.74.1-74.16
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• 2022

Background: Previous studies have presented evidence to support the significant association between red meat intake and colon cancer, suggesting that heme iron plays a key role in colon carcinogenesis. Epigallocatechin-3-gallate (EGCG), the major constituent of green tea, exhibits anti-oxidative and anti-cancer effects. However, the effect of EGCG on red meat-associated colon carcinogenesis is not well understood. Objectives: We aimed to investigate the regulatory effects of hemin and EGCG on colon carcinogenesis and the underlying mechanism of action. Methods: Hemin and EGCG were treated in Caco2 cells to perform the water-soluble tetrazolium salt-1 assay, lactate dehydrogenase release assay, reactive oxygen species (ROS) detection assay, real-time quantitative polymerase chain reaction and western blot. We investigated the regulatory effects of hemin and EGCG on an azoxymethane (AOM) and dextran sodium sulfate (DSS)-induced colon carcinogenesis mouse model. Results: In Caco2 cells, hemin increased cell proliferation and the expression of cell cycle regulatory proteins, and ROS levels. EGCG suppressed hemin-induced cell proliferation and cell cycle regulatory protein expression as well as mitochondrial ROS accumulation. Hemin increased nuclear factor erythroid-2-related factor 2 (Nrf2) expression, but decreased Keap1 expression. EGCG enhanced hemin-induced Nrf2 and antioxidant gene expression. Nrf2 inhibitor reversed EGCG reduced cell proliferation and cell cycle regulatory protein expression. In AOM/DSS mice, hemin treatment induced hyperplastic changes in colon tissues, inhibited by EGCG supplementation. EGCG reduced the hemin-induced numbers of total aberrant crypts and malondialdehyde concentration in the AOM/DSS model. Conclusions: We demonstrated that EGCG reduced hemin-induced proliferation and colon carcinogenesis through Nrf2-inhibited mitochondrial ROS accumulation.

• 한국동물생명공학회지
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• 제38권4호
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• pp.275-290
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• 2023

Background: Porcine pluripotent stem cells (pPSCs) would provide enormous potential for agriculture and biomedicine. However, authentic pPSCs have not established yet because standards for pPSCs-specific markers and culture conditions are not clear. Therefore, the present study reports comparative pluripotency characteristics in porcine induced pluripotent stem cells (piPSCs) derived from different viral transduction and reprogramming factors [Lenti-iPSCs (OSKM), Lenti-iPSCs (OSKMNL) and Sev-iPSCs (OSKM)]. Methods: Porcine fibroblasts were induced into Lenti-iPSCs (OSKM) and Lenti-iPSCs (OSKMNL) by using Lentiviral vector and Sev-iPSCs (OSKM) by using Sendaiviral vector. Expressions of endogenous or exogenous pluripotency-associated genes, surface marker and in vitro differentiation in between Lenti-piPSCs (OSKM), Lenti-iPSCs (OSKMNL) and Sev-piPSCs (OSKM) were compared. Results: Colonial morphology of Lenti-iPSCs (OSKMNL) closely resembles the naïve mouse embryonic stem cells colony for culture, whereas Sev-iPSCs (OSKM) colony is similar to the primed hESCs. Also, the activity of AP shows a distinct different in piPSCs (AP-positive (+) Lenti-iPSCs (OSKMNL) and Sev-iPSCs (OSKM), but AP-negative (-) Lenti-iPSCs (OSKM)). mRNAs expression of several marker genes (OCT-3/4, NANOG and SOX2) for pluripotency was increased in Lenti-iPSCs (OSKMNL) and Sev-iPSCs (OSKM), but Sev-iPSCs (OSKM). Interestingly, SSEA-1 of surface markers was expressed only in Sev-iPSCs (OSKM), whereas SSEA-4, Tra-1-60 and Tra-1-81 were positively expressed in Lenti-iPSCs (OSKMNL). Exogenous reprogramming factors continuously expressed in Lenti-iPSCs (OSKMNL) for passage 20, whereas Sev-iPSCs (OSKM) did not express any exogenous transcription factors. Finally, only Lenti-iPSCs (OSKMNL) express the three germ layers and primordial germ cells markers in aggregated EBs. Conclusions: These results indicate that the viral transduction system of reprograming factors into porcine differentiated cells display different pluripotency characteristics in piPSCs.