• 대한화학회지
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• 제50권3호
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• pp.224-231
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• 2006

소재로 제조된 다공성 지지체의 기계적 물성 향상을 위해서 사용되는 가교제는 세포독성으로 인해 지지체의 생체적합성을 저하시킨다. 본 연구에서 키토산, 알지네이트 및 젤라틴으로 제조된 다공성 지지체는 가교제를 사용하지 않고 열처리에 의해 가교시키고, 가교된 다공성 지지체의 물성을 조사하였다. FT-IR분광분석을 통해 열처리된 다공성 지지체의 가교는 고분자 쇄간의 아미드 또는 에스테르 결합에 의해 형성되었음을 확인하였다. 열처리 다공성 지지체는 100~200m크기의 연결된 공극 구조를 형성하였고, 가교제 처리 다공성 지지체에 비해 수분 흡수력은 2배 이상 향상되었다. 열처리 다공성 지지체의 인장강도는 가교하지 않은 다공성 지지체에 비해 130% 이상 향상되었고, 최대 신장률은 가교처리 다공성 지지체보다 11.3% 향상되었다. 따라서 열처리로 물성을 증가시킨 천연고분자 소재의 다공성 지지체는 생체적합성이 우수한 조직공학용 지지체로서 유용하다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.159-160
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• 2006

A novel approach to the manufacture of biocompatible ceramic scaffold for tissue engineering using micro-stereolithography system is introduced. Micro-stereolithography is a newly proposed technology that enables to make a 3D micro structure. The 3D micro structures made by this technology can have accurate and complex shape within a few micron error. Therefore, the application based on this technology can vary greatly in nano-bio fields. Recently, tissue-engineering techniques have been regarded as alternative candidate to treat patients with serious bone defects. So many techniques to design and fabricate 3D scaffolds have been developed. But the imperfection of scaffold such as random pore size and porosity causes a limitation in developing optimum scaffold. So scaffold development with controllable pore size and fully interconnected shape have been needed for a more progress in tissue engineering. In this paper, bone scaffold was developed by applying the micro-stereolithography to the mold technology. The scaffold material used was HA(Hydroxyapatite) nano powder. HA is a type of calcium phosphate ceramic with similar characteristic to human inorganic bone component. The bone scaffold made by HA is expected, in the near future, to be an efficient therapy for bone defect.

• 폴리머
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• 제32권2호
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• pp.163-168
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• 2008

생체 친화적이며 생분해성 고분자 소재인 poly($\varepsilon$-caprolactone)(PCL)을 rapid prototyping(RP) 공정인 바이오플로팅 시스템을 통해 세포 재생용 지지체(scaffold)를 제작하였다. 제작된 PCL 지지체는 DMA(dynamic mechanical analyzer)를 통해 동일한 재료로 제작된 기존 염침출법(salt-leaching)에 의한 지지체보다 월등히 향상된 기계적 강도를 갖고 있음을 확인하였고, 이는 기존 전통적인 세포지지체 제작에서 문제점중의 하나인 기계적인 강도적인 측면을 보완하여, 뼈조직 재생에 유용하게 활용될 수 있을 것으로 예상된다. 지지체 내부의 구조는 세포의 증식과 이동 및 영양분의 공급이 지속될 수 있도록 전체적으로 연결된 통로로 구성되어 있고, 다양한 세포의 증식이 가능하도록 지지체의 공극 크기와 strand의 굵기 등을 조절할 수 있으며, 이를 이용하여 대체하고자 하는 생체조직의 특성에 맞도록 기계적 강도를 조정할 수 있음을 확인하였다. 제조된 PCL지지체는 연골세포를 통하여 셀 컬쳐링 되었고, 3차원 세포 지지체로서의 충분한 가능성을 보여주었다.

• 생물환경조절학회지
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• 제16권3호
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• pp.258-263
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• 2007

'후지'/M.9에 대한 세장방추형에 적합한 하단측지수 구성을 위하여 하단측지수를 달리하여 수체생육, 광환경, 수량 및 과실품질을 조사하였다. 하단측지수준별 생육은 하단측지수를 5개로 유지했을 때 수폭은 넓었고, 신초장 및 정단신초장은 증가하였다. 수관위치별 수광률은 하단측지수가 5개인 처리구에서 수관상부(지상 150cm)와 수관중부(지상 100cm)에서는 높은 경향을 보였다. 총 단과지 화아수는 측지수에 따라 차이가 없었으나, 수관위치별로 보면 수관하부(지상 120cm 이하)에서 하단측지수가 5개 처리에서 가장 많았으며, 화아의 횡경도 커지는 경향이었다. 과실수량은 하단측지수가 5개에서 가장 많았고, 과중은 하단측지수가 5개와 8개에서 증가하는 경향이었다. 과실특성은 과형지수, 경도, 산함량, Hunter L, b값은 수관위치와 측지수준에 따라 차이가 없었으나, 가용성고형물 함량은 하단측지수가 5개일 때 높았다. 과실의 착색도를 나타내는 Hunter a값은 수광률이 가장 높은 하단측지수를 5개로 유지한 처리구에서 가장 높게 나타났다.

• 생물정신의학
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• 제17권3호
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• pp.119-126
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• 2010

Synaptic adhesion molecules mediate synapse formation, maturation and maintenance. These proteins are localized at synaptic sites in neuronal axons and dendrites. These proteins function as a bridge of synaptic cleft via interaction with another synaptic adhesion molecules in the opposite side. They can interact with scaffold proteins via intracellular domain and recruit many synaptic proteins, signaling proteins and synaptic vesicles. Scaffold proteins function as a platform in dendritic spines or axonal terminals. Recently, many genetic studies have revealed that synaptic adhesion molecules and scaffold proteins are important in neurodevelopmental disorders, psychotic disorders, mood disorders and anxiety disorders. In this review, fundamental mechanisms of synapse formation and maturation related with synaptic adhesion molecules and scaffold proteins are introduced and their psychiatric implications addressed.

• 반도체디스플레이기술학회지
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• 제19권3호
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• pp.77-81
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• 2020

In this paper, we create scaffold defect classification models using machine learning based data. We extract the characteristic from collected scaffold external images using USB camera. SVM, KNN, MLP algorithm of machine learning was using extracted features. Classification models of three type learned using train dataset. We created scaffold defect classification models using test dataset. We quantified the performance of defect classification models. We have confirmed that the SVM accuracy is 95%. So the best performance model is using SVM.

• 반도체디스플레이기술학회지
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• 제19권2호
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• pp.26-30
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• 2020

In this paper, we studied the problem if the experiment number occurring in order to identify defect in scaffold. We need to change each of the 5 print factor to predict defect when printing disk type scaffold using FDM 3d printer. So then the number of scaffold print will be more than 100,000 times. This experiment number is difficult to perform in the field. In order to solve this problem, we have produced a prediction model based on machine learning multiple linear regression using print conditions and defect scaffold data for print conditions. The prediction model produced was verified through experiments. The verification confirmed that the error was less than 0.5 %. We have confirmed that satisfied within the target margin of error 5 %.

• 반도체디스플레이기술학회지
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• 제16권4호
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• pp.25-29
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• 2017

In this paper, we have studied the deformation problem of the scaffold caused by the FDM type 3D printer. The Practical TRIZ technique was used to solve the deformation problem of the scaffold generated from the adhesion surface between the scaffold and the bed. The Practical TRIZ methodology was used to derive the solution and the experiment was conducted on the derived solution. As a result of evaluating the experimental results obtained for the solution, it was found that the deformation of the scaffold was much improved to the satisfactory level.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.871-876
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• 2022

In the construction industry, fatal accidents related to scaffolds frequently occur. To prevent such accidents, scaffolds should be carefully monitored for their safety status. However, manual observation of scaffolds is time-consuming and labor-intensive. This paper proposes a method that automatically analyzes the installation status of scaffold joints based on images acquired from a Unmanned Aerial Vehicle (UAV). Using a deep learning-based object detection algorithm (YOLOv5), scaffold joints and joint components are detected. Based on the detection result, a two-stage rule-based classifier is used to analyze the joint installation status. Experimental results show that joints can be classified as safe or unsafe with 98.2 % and 85.7 % F1-scores, respectively. These results indicate that the proposed method can effectively analyze the joint installation status in UAV-acquired scaffold images.

• Macromolecular Research
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• 제12권4호
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• pp.367-373
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• 2004

We have developed a rigorous heat treatment method to improve the biocompatibility of chitosan as a tissue-engineered scaffold. The chitosan scaffold was prepared by the controlled freezing and lyophilizing method using dilute acetic acid and then it was heat-treated at 110$^{\circ}C$ in vacuo for 1-3 days. To explore changes in the physicochemical properties of the heat-treated scaffold, we analyzed the degree of deacetylation by colloid titration with poly(vinyl potassium sulfate) and the structural changes were analyzed by scanning electron microscopy, Fourier transform infrared (FT-IR) spectroscopy, wide-angle X-ray diffractometry (WAXD), and lysozyme susceptibility. The degree of deacetylation of chitosan scaffolds decreased significantly from 85 to 30% as the heat treatment time increased. FT-IR spectroscopic and WAXD data indicated the formation of amide bonds between the amino groups of chitosan and acetic acids carbonyl group, and of interchain hydrogen bonding between the carbonyl groups in the C-6 residues of chitosan and the N-acetyl groups. Our rigorous heat treatment method causes the scaffold to become more susceptible to lysozyme treatment. We performed further examinations of the changes in the biocompatibility of the chitosan scaffold after rigorous heat treatment by measuring the initial cell binding capacity and cell growth rate. Human dermal fibroblasts (HDFs) adhere and spread more effectively to the heat-treated chitosan than to the untreated sample. When the cell growth of the HDFs on the film or the scaffold was analyzed by an MTT assay, we found that rigorous heat treatment stimulated cell growth by 1.5∼1.95-fold relative to that of the untreated chitosan. We conclude that the rigorous dry heat treatment process increases the biocompatibility of the chitosan scaffold by decreasing the degree of deacetylation and by increasing cell attachment and growth.