• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.596-601
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• 2013

In the current pavement construction practice, the state agencies traditionally determine the quality of the as-constructed pavement mix based on individual mixture material parameters (e.g., air voids, cement or asphalt content, aggregate gradation, etc.) and consider these parameters as key variables to influence payment schedule to the contractors and the present and future quality of the as-constructed mixture. A set of empirically pre-determined pay adjustment schedule for each parameter that was differently developed and being used by the individual agencies is then applied to a given project, in order to judge whether each parameter conforms to the designated specifications and consequently the contractor may either be rewarded or penalized in accordance with the payment schedule. With an improved quality assurance system, the Performance Related Specification, the individual parameters are not utilized as a direct judgment factor; rather, they become independent variables within a performance prediction function which is directly used to predict the performance. The quantified performance based on the prediction model is then applied to evaluate the pavement quality. This paper presents the brief history of the quality assurance in asphalt pavement construction including the Performance Related Specifications, statistical performance models in terms of fatigue and rutting distresses, as an example of the performance prediction models, and envisions the possibilities as to how this Performance Related Specification could be utilized in other infrastructures construction quality assurance.

• IMMUNE NETWORK
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• 제21권6호
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• pp.45.1-45.13
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• 2021

Many mouse models of rheumatoid arthritis have been identified, but only a limited number are present for axial spondyloarthritis (AxSpA). Collagen Ab-induced arthritis (CAIA) is one of the most widely used mouse models of arthritis, and it is complement-dependent. We found that mice developing CAIA also developed spinal lesions similar to those found in AxSpA. To induce CAIA, mice were injected intraperitoneally at day 0 with anti-collagen Abs, followed by LPS injection at day 3. CAIA mice demonstrated a significant kyphosis through the spine, as well as hypertrophic cartilage and osseous damage of the intravertebral joints. Immunohistochemical staining of the kyphotic area revealed increased complement C3 deposition and macrophage infiltration, with localization to the intravertebral joint margins. Near Infrared (NIR) in vivo imaging showed that anti-collagen Abs conjugated with IRDye^® 800CW not only localized to cartilage surface in the joints but also to the spine in arthritic mice. We report here a novel preclinical mouse model in which, associated with the induction of CAIA, mice also exhibited salient features of AxSpA; this new experimental model of AxSpA may allow investigators to shed light on the local causal mechanisms of AxSpA bone and soft tissue changes as well as treatment.

• 한국터널지하공간학회 논문집
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• 제16권2호
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• pp.237-248
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• 2014

TBM의 사양을 설계하고 굴진성능을 예측할 때 실대형 선형절삭시험을 통하여 설계변수를 획득하는 것이 매우 효과적인 방법인 것으로 알려져 있다. 하지만 선형절삭시험을 위해서는 대형 시편을 획득하고 큰 하중용량의 시험을 수행하는 과정에서 상당한 비용과 노력이 소모된다는 단점이 있다. 따라서 선형절삭시험을 대체하는 경험적 예측 모델, 즉 CSM모델과 NTNU모델을 사용하여 몇 가지 지수를 산정하고 이로부터 설계변수를 추정하는 경우가 많다. 본 연구에서는 압입시험 및 세르샤 마모시험을 이용하여 TBM의 사양(추력, 토크)과 굴착에 따라 소요되는 디스크 커터의 개수를 추정하는 방법에 대하여 고찰하였다. 압입시험과 세르샤 마모시험은 TBM의 설계 변수를 추정하기 위한 유용한 시험법이나 그 활용법이 연구 되고 있지 못한 실정이다. 이 연구에서는 압입시험과 세르샤 마모시험결과를 간단한 형태의 지수형태로 도출하고 이를 선형절삭시험 및 실제 굴진자료와 비교하여 상관관계를 도출하고 이로 부터 디스크 커터의 작용력 및 수명을 예측하였다. 또한 이 일련의 계산 과정을 프로그램화 하였으며, 터널의 연장 정보, TBM의 기계정보, 구간별 암석의 물성을 입력변수로 하여 구간별 굴진율과 TBM 사양 및 운영조건, 디스크 커터의 소모개수를 예측할 수 있었다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권8호
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• pp.3705-3713
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• 2014

E-Cadherin (CDH1) genetic variations may be involved in invasion and metastasis of various cancers by altering gene transcriptional activity of epithelial cells. However, published studies on the association of CDH1 gene polymorphisms and cancer risk remain contradictory, owing to differences in living habits and genetic backgrounds. To derive a more better and comprehensive conclusion, the present meta-analysis was performed including 57 eligible studies of the association between polymorphisms of CDH1 gene promoter -160 C>A, -347 G>GA and 3'-UTR +54 C>T and cancer risk. Results showed that these three polymorphisms of CDH1 were significantly associated with cancer risk. For -160 C>A polymorphism, -160A allele carriers (CA and CA+AA) had an increased risk of cancer compared with the homozygotes (CC), and the similar result was discovered for the -160A allele in the overall analyses. In the subgroup analyses, obvious elevated risk was found with -160A allele carriers (AA, CA, CA+AA and A allele) for prostate cancer, while a decreased colorectal cancer risk was shown with the AA genotype. For the -347 G>GA polymorphism, the GAGA genotype was associated with increased cancer risk in the overall analysis with homozygous and recessive models. In addition, results of subgroup analysis indicated that the elevated risks were observed in colorectal cancer and Asian descendants. For +54 C>T polymorphism, a decreased risk of cancer was found in heterozygous, dominant and allele models. Moreover, +54T allele carriers (CT, CT+TT genotype and T allele) showed a potential protective factor in gastric cancer and Asian descendants.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권8호
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• pp.2895-2912
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• 2014

Content-based image retrieval has been the most important technique for managing huge amount of images. The fundamental yet highly challenging problem in this field is how to measure the content-level similarity based on the low-level image features. The primary difficulties lie in the great variance within images, e.g. background, illumination, viewpoint and pose. Intuitively, an ideal similarity measure should be able to adapt the data distribution, discover and highlight the content-level information, and be robust to those variances. Motivated by these observations, we in this paper propose a probabilistic similarity learning approach. We first model the distribution of low-level image features and derive the free energy kernel (FEK), i.e., similarity measure, based on the distribution. Then, we propose a learning approach for the derived kernel, under the criterion that the kernel outputs high similarity for those images sharing the same class labels and output low similarity for those without the same label. The advantages of the proposed approach, in comparison with previous approaches, are threefold. (1) With the ability inherited from probabilistic models, the similarity measure can well adapt to data distribution. (2) Benefitting from the content-level hidden variables within the probabilistic models, the similarity measure is able to capture content-level cues. (3) It fully exploits class label in the supervised learning procedure. The proposed approach is extensively evaluated on two well-known databases. It achieves highly competitive performance on most experiments, which validates its advantages.

• 생약학회지
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• 제41권2호
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• pp.73-88
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• 2010

Traditionally, the root of Lithospermum erythrorhizon Sieb. et Zucc(L.E) has been used as efficacious therapy for inflammation, burns, frostbite and skin ailments (e.g eczema and psoriasis). It contains isohexenylnaphthoquinone derivatives (shikonin and its esters) and furylhydroquinones (shikonofurans) in lipophilic fractions and caffeic acid oligomers (rosmarinic acid, lithospermic acid B) in polar fractions. Recently, new preparative isolation and analysis procedures of shikonin along with its oligomers from the extract of L. erythrorhizon by the combination of high-speed counter-current chromatography with high-performance liquid chromatography-diode array detection have also been introduced. Although there have been many reports on the wound healing, antiinflammatory, and anticancer effects, the research on the effects of anti-atopic dermatitis of the root of L. erythrorhizon were relatively scarce. However, in recent years, new information gathered from research efforts, on the anti-atopic dermatitis properties of the extract or constituents of L. erythrorhizon has been accumulated. In this paper, the findings and advance on the in vitro and in vivo activities of L. erythrorhizon and its constituents especially focused on antiinflammatory and anti-atopic dermatitis effects are summarized. The phytochemical constituents of L. erythrorhizon or its tissue cultures are also presented. Although there are few to verify or refute its activity in human, one result of clinical study of the extract of L. erythrorhizon on the atopic dermatitis patients was introduced to assess the possibility of its clinical use. The reported mechanisms of action and in vivo pharmacological studies in different animal models for the various types of extracts or constituents of L. erythrorhizon are supportive of its therapeutic potential or dietary supplement, however, more evidence from clinically relevant models, as well as systemic studies on the active constituents or the various types of standardized extracts at the cellular and molecular level, are required.

• 대한의용생체공학회:의공학회지
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• 제34권3호
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• pp.111-116
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• 2013

Finite element analysis(FEA) has been extensively applied in the analyses of biomechanical properties of stents. Geometrically, a closed-cell stent is an assembly of a number of repeated unit cells and exhibits periodicity in both longitudinal and circumferential directions. This study concentrates on various parameters of the FEA models for the analysis of drug-eluting biodegradable polymeric stents for application to the treatment of coronary artery disease. In order to determine the mechanical characteristics of biodegradable polymeric stents, FEA was used to model two different types of stents: tubular stents(TS) and helicoidal stents(HS). For this modeling, epigallocatechin-3-O-gallate (EGCG)-eluting poly[(L-lactide-co-${\varepsilon}$-caprolactone), PLCL] (E-PLCL) was chosen as drug-eluting stent materials. E-PLCL was prepared by blending PLCL with 5% EGCG as previously described. In addition, the effects of EGCG blending on the mechanical properties of PLCL were investigated for both types of stent models. EGCG did not affect tensile strength at break, but significantly increased elastic modulus of PLCL. It is suggested that FEA is a cost-effective method to improve the design of drug-eluting biodegradable polymeric stents.

• 대한교통학회지
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• 제29권3호
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• pp.123-137
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• 2011

지금까지 교통류의 전파현상은 밀도와 교통량의 변화에 따른 충격파 이론을 사용하여 설명되어져 왔으나 서로 다른 차로간 교통류 전파와 같은 이질적인 교통류를 해석하기위해 적용하기에는 한계가 있다. 따라서, 본 연구는 고속 도로의 항공사진자료를 분석함으로써 합류부 구간과 엇갈림 구간, 기본구간의 교통류 전파특성을 시공간적으로 분석하고 차로간 교통류 전파해석을 위한 충격량 전파모형을 개발하는 것을 목적으로 한다. 본 연구에서는 기존에 사용하던 충격파 속도라는 척도를 이용하여 교통류 전파특성을 분석하고자 하였으나 전파특성에 대한 분명한 특징을 찾기가 어려웠고, 이러한 이유로 충격량이라는 새로운 척도를 개발하여 개발된 척도로 교통류 상태를 해석하고 적용하여 각 분석구간의 충격량 특성을 분석할 수 있었다. 분석된 3개 구간은 충격량의 특성이 공통적으로 발생하여 교통류 전파시 의미있는 임계치를 도출하였고, 차로간의 상호관계를 설명할 수 있는 요인을 파악하고 분석구간과 차로에 따라 다중회귀분석을 수행하여 충격량을 결정하는 차로간 충격량 전파모형을 개발하였다.

• 한국도로학회논문집
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• 제8권1호
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• pp.139-152
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• 2006

Many experimental and numerical approaches have been developed to evaluate paving materials and to predict pavement response and distress. Micromechanical simulation modeling is a technology that can reduce the number of physical tests required in material formulation and design and that can provide more details, e.g., the internal stress and strain state, and energy evolution and dissipation in simulated specimens with realistic microstructural features. A clustered distinct element modeling (DEM) approach was implemented In the two-dimensional particle flow software package (PFC-2D) to study the complex behavior observed in asphalt mixture fracturing. The relationship between continuous and discontinuous material properties was defined based on the potential energy approach. The theoretical relationship was validated with the uniform axial compression and cantilever beam model using two-dimensional plane strain and plane stress models. A bilinear cohesive displacement-softening model was implemented as an intrinsic interface and applied for both homogeneous and heterogeneous fracture modeling in order to simulate behavior in the fracture process zone and to simulate crack propagation. A disk-shaped compact tension test (DC(T)) with heterogeneous microstructure was simulated and compared with the experimental fracture test results to study Mode I fracture. The realistic arbitrary crack propagation including crack deflection, microcracking, crack face sliding, crack branching, and crack tip blunting could be represented in the fracture models. This micromechanical modeling approach represents the early developmental stages towards a 'virtual asphalt laboratory,' where simulations of laboratory tests and eventually field response and distress predictions can be made to enhance our understanding of pavement distress mechanisms, such its thermal fracture, reflective cracking, and fatigue crack growth.

• Environmental Engineering Research
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• 제15권4호
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• pp.207-213
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• 2010

This study investigated the potential of using bottom ash to be used as an adsorbent for the removal of lead (Pb) from aqueous solutions. The physical and chemical characteristics of bottom ash were determined, with a series of leaching and adsorption experiments performed to evaluate the suitability of bottom ash as an adsorbent material. Trace elements were present, such as silicon and aluminum, indicating that the material had a good adsorption capacity. All heavy metals leached during the Korea standard leaching test (KSLT) passed the regulatory limits for safe disposal, while batch adsorption experiments showed that bottom ash was capable of adsorbing Pb (experimental $q_e$ = 0.05 mg/g), wherein the adsorption rate increased with decreasing particle size. The adsorption data were then fitted to kinetic models, including Lagergren first-order and Pseudo-second order, as well as the Elovich equation, and isotherm models, including the Langmuir, Freundlich and Dubinin-Radushkevich isotherms. The results showed that pseudo-second order kinetics was the most suitable model for describing the kinetic adsorption, while the Freundlich isotherm best represented the equilibrium sorption onto bottom ash. The maximum sorption capacity and energy of adsorption of bottom ash were 0.315 mg/g and 7.01 KJ/mol, respectively.