• Elastomers and Composites
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• 제50권2호
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• pp.110-118
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• 2015

In this study, diethylaminoethyl methacrylate-styrene-butadiene terpolymer (DEAEMA-SBR), in which diethylaminoethyl methacrylate (DEAEMA) was introduced to the SBR molecule as a third monomer, was synthesized by cold emulsion polymerization. It is expected that amine group introduced to a rubber molecule would improve dispersion of silica by the formation of hydrogen bond (or ionic coupling) between the amine group and silanol groups of silica surface. The chemical structure of DEAEMA-SBR was analyzed using proton nuclear magnetic resonance spectroscopy (H-NMR), Fourier transform infrared spectroscopy (FTIR), gel permeation chromatography (GPC) and differential scanning calorimetry (DSC). Then, various properties of DEAEMA-SBR/silica composite such as crosslink density, bound rubber content, abrasion resistance, and mechanical properties were evaluated. As a result, bound rubber content and crosslink density of DEAEMA-SBR/silica compound were higher than those of the SBR 1721 composite. Abrasion resistance and moduli at 300% elongation of the DEAEMA-SBR/silica composite were better than those of SBR 1721 composite due to the high bound rubber content and crosslink density. These results are attributed to high affinity between DEAEMA-SBR and silica. The proposed study suggests that DEAEMA-SBR can help to improve mechanical properties and abrasion resistance of the tire tread part.

• Structural Engineering and Mechanics
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• 제75권6호
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• pp.643-657
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• 2020

This study presents experimental and numerical investigations on circular steel tube confined ultra high performance concrete (UHPC) columns under axial compression. The plain UHPC without fibers was designed to achieve a compressive strength ranged between 150 MPa and 200 MPa. Test results revealed that loading on only the UHPC core can generate a significant confinement effect for the UHPC core, thus leading to an increase in both strength and ductility of columns, and restricting the inherent brittleness of unconfined UHPC. All tested columns failed by shear plane failure of the UHPC core, this causes a softening stage in the axial load versus axial strain curves. In addition, an increase in the steel tube thickness or the confinement index was found to increase the strength and ductility enhancement and to reduce the magnitude of the loss of load capacity. Besides, steel tube with higher yield strength can improve the post-peak behavior. Based on the test results, the load contribution of the steel tube and the concrete core to the total load was examined. It was found that no significant confinement effect can be developed before the peak load, while the ductility of post-peak stage is mainly affected by the degree of the confinement effect. A finite element model (FEM) was also constructed in ABAQUS software to validate the test results. The effect of bond strength between the steel tube and the UHPC core was also investigated through the change of friction coefficient in FEM. Furthermore, the mechanism of circular steel tube confined UHPC columns was examined using the established FEM. Based on the results of FEM, the confining pressures along the height of each modeled column were shown. Furthermore, the interaction between the steel tube and the UHPC core was displayed through the slip length and shear stresses between two surfaces of two materials.

• 소성∙가공
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• 제28권3호
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• pp.135-144
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• 2019

Electromagnetic impulse welding (EMIW) is a type of solid state welding using the Lorentz force generated by interaction between the magnetic field of the coil and the current induced in the workpiece. Although many experimental studies have been investigated on the expansion and compression welding of tube using the EMIW process, studies on the EMIW process of lap joint between flat sheets are uncommon. Since the magnetic field enveloped inside the tube can be controlled with ease, the electromagnetic technique has been widely used for tube welding. Conversely, it is difficult to control the magnetic field in the flat sheet welding so as to obtain the required welding velocity. The current study analyzed the effects of coil shape on the impulse velocity for suitable flat one-turn coil for the EMIW of the flat sheets. The finite element (FE) multi-physics simulation involving magnetic and structural field of EMIW were conducted with the commercial software LS-DYNA to evaluate the several shape variables, viz., influence of various widths, thicknesses, gaps and standoff distances of the flat one-turn coil on the impulse velocity. To obtain maximum impulse velocity, the flat one-turn coil was designed based on the FE simulation results. The experiments were performed using an aluminum alloy 1050 sheets of 1.0mm thickness using the designed flat one-turn coil. Through the microscopic interfacial analysis of the welded specimens, the interfacial connectivity was observed to have no defects. In addition, the single lap joint tests were performed to evaluate the welding strength, and a fracture occurred in the base material. As a result, a flat one-turn coil was successfully designed to guarantee welding with bond strength equal to or greater than the base material strength.

• Applied Biological Chemistry
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• 제39권3호
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• pp.235-240
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• 1996

제초성 비치환(H) benzenesulfonyl urea 분자, 1은 sulfonyl group 인접의 amino group과 pyrimidinyl group의 N원자 사이에 회합(H-결합)된 형태(II-keto)가 제일 안정하였으며 phenyl 치환$(R_2$ 및 $R_3)$유도체, 2는 전자를 밀수록$(\sigma<0)$ LUMO(ev.)는 음의 값으로 증가하여 물 분자의 HOMO(ev.)사이에 궤도 조절반응(p<0)에따른 전형적인 친핵 반응성을 나타낸다. N-(4,6-이치환-pyrimidine-2-yl)aminocarbonyl-2-(1,1-dimethoxy-2-fluoro)ethylbenzenesulfonamides, 3 및 N-(4,6-이치환-triazine-2-yl)aminocarbonyl-2-(1,1-dimethoxy-2-리uoro)ethylbenzenesulfonamide, 4 유도체의 4,6-이치환기(X 및 Y) 와 헤테로 고리의 변화에 따른 올챙이고랭이(Scirpus juncodies.) 에 대한 제초활성은 소수성$((log\;P)_{opt.}=0.89)$이 가장 큰 영향을 미치는 요인이었다. 또한, pyrimidine-치환체, 3이 triazine-치환체, 4보다 양호한 제초활성을 나타내었으며 dimethoxypyrimidine-치환체, 3a가 가장 큰 제초활성을 보였다.

• 한국자기학회지
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• 제16권1호
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• pp.6-10
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• 2006

단일상 $FeCr_{2-x}M_xS_4$ (M=Ga, In; x=0.1, 0.3)에 대하여 x-선 회절기(XRD), 진동 시료 자화율 측정기(VSM), 뫼스바우어 분광기를 이용하여 비자성 이온의 치환효과를 연구하였다. 결정구조는 Rietveld프로그램을 이용하여 공간그룹이 Fd3m[Fe, Ga, In(8a); Cr, Ga, In(160); S(32e) (u, u, u)]인 입방 스피넬 구조임을 확인하였다. 비자성 이온 Ga이 치환된 시료의 경우, Ga이 치환 될수록 격자상수가 10.007에서 $9.996\;{\AA}$,으로 감소하는 반면, In이 치환된 시료의 경우, In이 치환 될수록 격자상수가 10.029에서 $10.092\;{\AA}$로 증가함을 확인하였다 VSM측정 결과 Ga과 In이 치환 될수록 Neel온도는 각각 180에서 188K, 173에서 160K로 변화하였는데, 이것은 격자상수의 변화에 따른 사면체 자리(A자리)와 팔면체 자리(B 자리)의 초교환 상호작용 세기의 변화로 해석 할 수 있었다 $4.2K\~300K$의 온도범위에 걸쳐서 뫼스바우어 스펙트럼을 분석한 결과 Fe이온이 각각 A자리와 B자리에 점유함을 확인 할 수 있었다. 이것은 비자성 이온 Ga과 In 이 A자리의 Fe이온의 비대칭적인 전하 분포를 야기시키는 것으로 해석할 수 있었다. 또한 Cr-S의 결합거리를 비교해 본 결과, $FeCr_{2-x}Ga_xS_4$(x=0.3)와 RFeCr_{2-x}In_xS_4$ (x=0.3)가 각각 2.41, $2.43\;{\AA}$로$FeCr_{2-x}Ga_xS_4$(x=0.3)의 결합거리가 작아 공유 결합력이 커짐에 따라 비대칭적인 전하 분포를 유도함으로 해석할 수 있다. 이는 큰 전기 사중극자를 유도하는 결과와 일치함을 알 수 있었다.

• 대한화학회지
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• 제38권4호
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• pp.295-301
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• 1994

N4-polydentate 리간드(meso-Me$_6$-[14]-ane, rac-Me$_6$-[14]-ane, and cyclam)의 Ru(Ⅲ), Ni(Ⅱ), Cu(Ⅱ) 및 Pd(Ⅱ)금속이온 착물을 합성하여 NaOCl, H$_2$O$_2$, t-BuOOH, 및 PhIO 등의 산화제를 사용하므로서 몇 가지 올레핀 산화반응에서 각 착물의 촉매적 활성과 선택성을 연구하였다. substrate(cyclohexene, 1-hexene, cyclooctene, 1-octene, 및 styrene)의 산화반응 생성물질은 가스 크로마토그래프 방법으로 확인하였다. Ru(Ⅲ)-N$_4$ 착물은 올레핀의 촉매적 산화반응에서 산화제로 NaOCl을 사용하였을 때, 생성물질 epoxide에 대하여 상당히 높은 선택성을 나타내었다. Ru(Ⅲ)-N$_4$ 착물의 촉매적 활성도는 N$_6$-polydentate리간드의 flexibility, Ru(Ⅲ)-Cl의 결합 상호작용, 및 산화제의 입체적 효과에 따라 고찰하였다. Ni(II)-, Cu(II)-, 및 Pd(II)- (meso-Me$_6$[14]-ane) 착물의 촉매적 기능은 산화제로 PhIO를 사용한 1-octane의 산화반응에서 살펴 보았으며, 이 산화반응에서 Pd(Ⅱ)착물이 Ni(Ⅱ) 및 Cu(Ⅱ)착물들보다 높은 활성을 나타내었다.

• Investigative Magnetic Resonance Imaging
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• 제12권1호
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• pp.8-19
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• 2008

목적 : 본 연구에서는 인체 뇌 대사물질에 대하여 2D MR 기술인 correlation spectroscopy (COSY) 와 nuclear Overhauser effect/enhancement spectroscopy (NOESY)를 직접 적용하고, 데이터를 획득하여 인체 뇌대사물질들간의 스칼라 짝지움 (coupling)과 쌍극자 (dipolar) 상호작용- NOE에 대한 분석을 통하여 결합연결관계 및 공간연결관계에 대한 정보를 획득하고자 하였다. 대상 및 방법 : 모든 2-D (dimensional) MR 실험 (즉, COSY와 NOESY)은 z축 능동차폐 펄스경사자장, 삼중공명 동결탐침기가 장착된 Bruker Avance 500 (11.8 T) 장비에서 298 K에 수행되었다. MRS상에서 뇌 대사물질과 유사하도록만든 희석액을 만들었고, 최종 MRS 샘플은 10% $D_2O$를 이용하였다. 2-D 스펙트라는 2048 복합 (complex) 데이터 포인트로서 총 320개 의 free induction decay (FID)를 평균화 (averaging)하였고, $H_2O$에서 얻어진 스펙트라는 8012 Hz 였다. 반복지연 (repetition delay) 시간은 2초, 각각의 FID는 4개의 평균화를 선택하였다. 얻어진 2D-COSY, 2D-NOESY 데이터는 Top Spin 2.0 소프트웨어에서 후 처리기법 (post-processing)에 의해 분석되었다. 분석 대상 대사물질은 N-acetyl aspartate (NAA), creatine (Cr), choline (Cho), glutamine (Gln), glutamate (Glu), myo-inositol (Ins), lactate (Lac)로서 총 7 가지 화학물로서 주요 목표 피크로 정했다. 결과 : 인체 뇌 대사물질에 대한 대칭형태의 2D-COSY와 2D-NOESY 스펙트럼을 획득하였고, COSY 스펙트럼상에서는 오직 1.0-4.5 ppm 사이에서만 교차피크들이 생성된 반면 NOESY 스펙트럼상에서는 1.0-4.5 ppm 외에도 7.9 ppm에서 공명 교차피크를 발견할 수 있었다. COSY 스펙트럼을 통하여 lactate에서 메틸 프로톤과 CH 프로톤의 COSY 크로스피크가 발견되었고, NAA에서 메틸렌 프로톤들간과 메틸렌 프로톤과 NH프로톤의 크로스피크가 발견되었고, Ins에서 CH 프로톤 들간의 크로스피크가 발견되었다. NOESY 스펙트럼을 통하여 NAA 분자내 NH 프로톤과 메틸 (-CH3) 프로톤과의 NOESY 크로스피크가 발견되었고, lactate에서 메틸 프로톤과 CH 프로톤과의 크로스피크가 발견되었고, Cr에서 메틸 프로톤과 메틸렌 프로톤과의 크로스피크가 발견되었고, Glu에서 메틸렌 프로톤 들간과 또한 메틸렌 프로톤과 CH 프로톤과의 크로스피크가 발견되었고, Gln에서 메틸렌 프로톤과 CH 프로톤과의 크로스피크가 발견되었고, Ins에서 CH 프로톤 들간의 크로스피크가 발견되었다. 결론 : 본 연구에서는 in vitro 상태의 인체 뇌 대사물질에 2D-COSY와 2D-NOESY 기술을 직접 적용하고, 결합연결관계 및 공간연결관계에 대한 정보를 성공적으로 획득하여 분석하여 보았다. 본 연구 결과물은 향후 인체 내 in vivo 2D-COSY를 이용한 뇌 대사물질 연구에 매우 유용하리라 사료된다.

• Interdisciplinary Bio Central
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• 제1권1호
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• pp.3.1-3.6
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• 2009

Introduction: GTPases known as translation factor play a vital role as ribosomal subunit assembly chaperone. The bacterial Obg proteins ($Spo{\underline{0B}}$-associated ${\underline{G}}TP$-binding protein) belong to the subfamily of P-loop GTPase proteins and now it is considered as one of the new target for antibacterial drug. The majority of bacterial Obgs have been commonly found to be associated with ribosome, implying that these proteins may play a fundamental role in ribosome assembly or maturation. In addition, one of the experimental evidences suggested that Bacillus subtilis Obg (BsObg) protein binds to the L13 ribosomal protein (BsL13) which is known to be one of the early assembly proteins of the 50S ribosomal subunit in Escherichia coli. In order to investigate binding mode between the BsObg and the BsL13, protein-protein docking simulation was carried out after generating 3D structure of the BsL13 structure using homology modeling method. Materials and Methods: Homology model structure of BsL13 was generated using the EcL13 crystal structure as a template. Protein-protein docking of BsObg protein with ribosomal protein BsL13 was performed by DOT, a macro-molecular docking software, in order to predict a reasonable binding mode. The solvated energy minimization calculation of the docked conformation was carried out to refine the structure. Results and Discussion: The possible binding conformation of BsL13 along with activated Obg fold in BsObg was predicted by computational docking study. The final structure is obtained from the solvated energy minimization. From the analysis, three important H-bond interactions between the Obg fold and the L13 were detected: Obg:Tyr27-L13:Glu32, Obg:Asn76-L13:Glu139, and Obg:Ala136-L13:Glu142. The interaction between the BsObg and BsL13 structures were also analyzed by electrostatic potential calculations to examine the interface surfaces. From the results, the key residues for hydrogen bonding and hydrophobic interaction between the two proteins were predicted. Conclusion and Prospects: In this study, we have focused on the binding mode of the BsObg protein with the ribosomal BsL13 protein. The interaction between the activated Obg and target protein was investigated with protein-protein docking calculations. The binding pattern can be further used as a base for structure-based drug design to find a novel antibacterial drug.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2005년도 BIOINFO 2005
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• pp.267-271
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• 2005

The goal of data mining is to extract new and useful knowledge from large scale datasets. As the amount of available data grows explosively, it became vitally important to develop faster data mining algorithms for various types of data. Recently, an interest in developing data mining algorithms that operate on graphs has been increased. Especially, mining frequent patterns from structured data such as graphs has been concerned by many research groups. A graph is a highly adaptable representation scheme that used in many domains including chemistry, bioinformatics and physics. For example, the chemical structure of a given substance can be modelled by an undirected labelled graph in which each node corresponds to an atom and each edge corresponds to a chemical bond between atoms. Internet can also be modelled as a directed graph in which each node corresponds to an web site and each edge corresponds to a hypertext link between web sites. Notably in bioinformatics area, various kinds of newly discovered data such as gene regulation networks or protein interaction networks could be modelled as graphs. There have been a number of attempts to find useful knowledge from these graph structured data. One of the most powerful analysis tool for graph structured data is frequent subgraph analysis. Recurring patterns in graph data can provide incomparable insights into that graph data. However, to find recurring subgraphs is extremely expensive in computational side. At the core of the problem, there are two computationally challenging problems. 1) Subgraph isomorphism and 2) Enumeration of subgraphs. Problems related to the former are subgraph isomorphism problem (Is graph A contains graph B?) and graph isomorphism problem(Are two graphs A and B the same or not?). Even these simplified versions of the subgraph mining problem are known to be NP-complete or Polymorphism-complete and no polynomial time algorithm has been existed so far. The later is also a difficult problem. We should generate all of 2$^n$ subgraphs if there is no constraint where n is the number of vertices of the input graph. In order to find frequent subgraphs from larger graph database, it is essential to give appropriate constraint to the subgraphs to find. Most of the current approaches are focus on the frequencies of a subgraph: the higher the frequency of a graph is, the more attentions should be given to that graph. Recently, several algorithms which use level by level approaches to find frequent subgraphs have been developed. Some of the recently emerging applications suggest that other constraints such as connectivity also could be useful in mining subgraphs : more strongly connected parts of a graph are more informative. If we restrict the set of subgraphs to mine to more strongly connected parts, its computational complexity could be decreased significantly. In this paper, we present an efficient algorithm to mine frequent subgraphs that are more strongly connected. Experimental study shows that the algorithm is scaling to larger graphs which have more than ten thousand vertices.