해체 원전에서 총 폐기물의 약 70~80%에 해당하는 많은 양의 콘크리트 폐기물은 해체 폐기물의 대부분을 차지한다. 해체 시 발생된 콘크리트 폐기물은 핵종별 농도에 따라 규제해제 폐기물과 방사성폐기물로 정의할 수 있다. 따라서, 방사성 콘크리 트 폐기물의 처분 비용을 저감하기 위하여 자체 처분 및 제한적 재활용을 위한 제염 작업의 수행이 중요하다. 그러므로 콘크리트 폐기물의 효율적인 제염 작업을 위해 내부 방사능 분포를 예측하는 것이 필수적이다. 본 연구는 원전 해체 시, 발생되는 콘크리트 폐기물의 내부 방사능 분포를 예측하기 위하여 다양한 컴프턴 영상 재구성 방법의 성능을 비교하였다. 다양한 컴프턴 영상 재구성 방법으로 단순 역투사(SBP), 필터 후 역투사(FBP), 최대우도 기댓값 최대화 방법(MLEM), 그리고 기존 의 MLEM의 시스템 반응 함수에 에너지 정보가 결합되어 확률적으로 계산하는 최대우도 기댓값 최대화 방법(E-MLEM)이 사용되었다. 재구성된 영상을 획득한 후, 정량적인 분석 방법을 이용하여 재구성된 영상의 성능을 정량적으로 비교 및 평가하였다. MLEM 및 E-MLEM 영상 재구성 방법은 각각 재구성된 영상에서 높은 이미지 분해능과 신호 대 잡음비를 유지하는데 있어 가장 좋은 성능을 보여주었다. 본 연구에서 도출된 결과들은 원자력 시설 해체 시 방사성 콘크리트 폐기물의 내부 방사능 분포를 예측하기 위한 수단으로 컴프턴 영상을 사용할 수 있는 가능성을 보여주었다.

Hepatic stellate cells (HSCs) play essential roles in normal and pathophysiological function in liver. In steady state, HSCs contribute to retinoid storage, immune tolerance, and extracellular matrix (ECM) homeostasis. Upon liver injury, they become activated and lead to morphological and functional changes. Studies have demonstrated that activation of HSCs by various stimuli such as toxins, microbial infection, or metabolic overload can promote the fibrotic changes in liver by production of ECM. Herein, we provide current knowledge about the basic characteristics of HSCs and the mechanism by which they are activated.

The University will contribute, through its high quality of education, training and research, to the containment, reduction and management of the problems confronting humanity in the transition to sustainable way of life utilizing the latest technologies of distance learning. Through international collaboration and leadership, it will generate, mobilize and share knowledge, experience and skills throughout the world so as to promote equitable and sustainable progress and to preserve and enhance the natural world on which humanity depends. As merit of the location of center in Northeastern Asia and North and South countries, Jeju Island has a remarkable natural beauty matching with unique environmental culture tradition, and a wide range of expertise, connections and capabilities in regard to global commerce, finance and transportation, and to the management of watersheds and biodiversity as a newly established international free city, all of which are relevant to world environment of sustainable development.

Cancer is the second leading cause of death worldwide and currently there are many approaches developing towards cancer treatment. Cancer treatments like chemotherapy and radiation therapy are often painful and have adverse effects. The mechanism of apoptosis is a complex process and it involves different pathways in its mechanism of action. Apoptosis can be caused by signals within the cell such as stress, or by extrinsic signals such as ligands binding to cell surface death receptors. The programmed cell death plays a important role in the several physiological and pathological processes. It plays important role in homeostasis. Flavonoids have gained importance as anticancer agents promoting cytotoxicity and apoptosis in cancer cells. Flavonoids are present in many medicinal plants which are a kind of ubiquitous natural products and essential active ingredients. They have strong biological activities with high efficiency and low toxicity, possessing good preventive and cure effects on different tumor forms. Flavonoids such as Scutellarein, Pectolinarigenin and Naringin have reported to possess significant anti-cancer effects on different cancer cell lines till date. In this review, we provide a summary about the anti-cancer effect of the three flavonoids and its mechanisms of action that can be used in future for understanding their potent anti-tumor properties.

Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

The development of drugs from natural plant sources is at growing interest due to the limitations of chemical drugs in terms of side effects and cost-effective factors of natural medicines. Among the various components contained in natural plant materials, flavonoids are of increasing interest because of their extended biological benefits. Flavonoids are classified into various types according to their structure and possess different activities depending on the structure. In this study, the flavonoids contained in Artemisia, native to Korea were examined and reviewed. HPLC chromatograms of three Artemisia species (Artemisia annua L., Artemisia iwayomogi and Artemisia argyi H.) were examined from published sources and their component analysis by MS data were summarized. The various flavonoids of Artemisia were classified into 12 types according to the main structure, and 10 flavonoids based on various activities were examined. The 10 flavonoids were identified as quercetin, kaempferol, rhamnetin, diosmetin, luteolin, methoxyflavone, catechin, apigenin, malvidin and genkwanin with extensive reported studies till date. The ten flavonoids examined have been reported to be effective in preventing and treating various diseases and exhibit activities such as anti-cancer, anti-inflammatory, antioxidant, antiviral, anti-obesity, anti-diabetic and anti-Alzheimer. The collective results from the reported studies suggest that the three types of Korean native Artemisia, contains various flavonoids with beneficial activities and may have therapeutic effects against diseases.

본 논문은 최신 기술의 변화와 전시환경의 급변에 대응하기 위한 바람직한 게임전시회의 발전방향에 대해 전시 개최지 결정 주요 이론과 게이미피케이션 전략방안을 제시하였다. 게이미피케이션은 문제해결의 방편으로 게임요소와 게임씽킹을 도입하여 플레이어들을 적극 참여시키는 개념으로, 플레이어 경험(PX)을 제공할 수 있다. 게임전시장 공간연출에 게이미피케이션 응용하여 기획하는 것이 중요하며, 나아가 전시 부대시설과 주변 인프라 시설들까지도 면밀하게 고려해야 한다. 전시개최지에 대한 이론과 선행연구를 종합해보면, 공항으로부터의 접근성, 전시/회의장 시설, 호텔의 객실, 지역이미지, 지리적 위치, 기후, 지역의 유용성, 관광적 특성, 여가 활동성, 교통, 편의, 시설 등은 공통적으로 중요한 요인들임을 알 수 있었다. 각국의 주요 게임전시회의 특징과 인프라의 비교분석을 바탕으로 기존의 게임전시회의 한계를 극복할 차별화된 전시경험 제공과 재방문률을 높일 방안으로 게임전시회 발전을 위한 특성화 전략 전시운영플랫폼 게이미피케이션 전략 및 전시공간의 게이미피케이션 전략 등을 제시하였다.

This study examined the effects of freshwater discharge by artificial dikes from the Kanwol and Bunam lakes on the dynamics in the Chunsu Bay, Yellow Sea, Korea, during the summer season based on three-dimensional numerical modeling experiments. Model performances were evaluated in terms of skill scores for tidal elevation, velocity, temperature, and salinity and these scores mostly exceeded 90 %. The variability in residual currents before and after the freshwater discharge was examined. The large amount of lake water discharge through artificial dikes may result in a dramatically changed density field in the Chunsu Bay, leading to an estuarine circulation system. The density-driven current formed as a result of the freshwater inflow through the artificial dikes (Kanwol/Bunam) caused a partial change in the tidal circulation and a change in the scale and location of paired residual eddies. The stratification formed by strengthened static stability following the freshwater discharge led to a dramatic increase in the Richardson number and lasted for a few weeks. The strong stratification suppressed the vertical flux and inhibited surface aerated water mixing with bottom water. This phenomenon would have direct and indirect impacts on the marine environment such as hypoxia/anoxia formation at the bottom.

The design and fabrication of catalysts with low-cost and high electrocatalytic activity for the oxygen evolution reaction (OER) have remained challenging because of the sluggish kinetics of this reaction. The key to the pursuit of efficient electrocatalysts is to design them with high surface area and more active sites. In this work, we have successfully synthesized a highly stable and active NiCo2S4 nanowire array on a Ni-foam substrate (NiCo2S4 NW/NF) via a two-step hydrothermal synthesis approach. This NiCo2S4 NW/NF exhibits overpotential as low as 275 mV, delivering a current density of 20 mA cm-2 (versus reversible hydrogen electrode) with a low Tafel slope of 89 mV dec-1 and superior long-term stability for 20 h in 1M KOH electrolyte. The outstanding performance is ascribed to the inherent activity of the binder-free deposited, vertically aligned nanowire structure, which provides a large number of electrochemically active surface sites, accelerating electron transfer, and simultaneously enhancing the diffusion of electrolyte.

We report an analysis of two poorly studied eclipsing binary stars, GSC 04396-00605 and GSC 04395-00485 (recently named V455 Dra and V454 Dra, respectively). Photometric data of the two stars were obtained using the 1-m Korean telescope of the LOAO operated by KASI while monitoring the cataclysmic variable DO Dra in the frame of the Inter-Longitude Astronomy (ILA) project. We derived periods of 0.434914 and 0.376833 days as well as initial epochs JD 2456480.04281 and JD 2456479.0523, respectively, more accurate than previously published values by factors 9 and 6. The phenomenological characteristics of the mean light curves were determined using the New Algol Variable (NAV) algorithm. The individual times of maxima/minima (ToM) were determined using the newly developed software MAVKA, which outputs accurate parameters using "asymptotic parabola" approximations. The light curves were approximated using phenomenological and physical models. In the NAV algorithm, the phenomenological parameters are well determined. We derived physical parameters using the Wilson-Devinney model. In this model, the best-fit parameters are highly correlated, thus some of them were fixed to reasonable values. For both systems, we find evidence for the presence of a cool spot and estimate its parameters. Both systems can be classified as overcontact binaries of EW type.

Enamel knot (EK)—a signaling center—refers to a transient morphological structure comprising epithelial tissue. EK is believed to regulate tooth development in early organogenesis without its own cellular alterations, including proliferation and differentiation. EKs show a very simple but conserved structure and share functions with teeth of recently evolved vertebrates, suggesting conserved signaling in certain organs, such as functional teeth, through the course of evolution. In this study, we examined the expression patterns of key EK-specific genes including Dusp26 , Fat4, Meis2, Sln , and Zpld1 during mice embryogenesis. Expression patterns of these genes may reveal putative differentiation mechanisms underlying tooth morphogenesis.