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Yebin Han(Yebin Han),Sookyung Park(Sookyung Park),Hyojin Song(Hyojin Song),NongHoon Choe(NongHoon Choe) 한국예방수의학회 2023 예방수의학회지 Vol.47 No.1
South Korea, one of the representative countries known for consuming dog meat, is experiencing a gradual decline in its consumption, and it is expected to be eradicated soon as there is no influx of new consumers. However, the cultural aspect of dog meat consumption is strong as it is deeply rooted in social traditions, and there is inadequate agreement on banning it legally. This article examines the laws related to dog meat and how it is currently managed. It also scrutinizes the animal welfare and food safety aspects of the process of dog meat breeding and distribution. The current legal management system for dog meat is inadequate, which poses risks in terms of food safety. In addition, the dogs used for food consumption are exposed to coarse environments from an animal welfare perspective. Until dog meat consumption is naturally eradicated, establishing a temporary hygiene management system to ensure food safety and improve animal welfare could be one solution.
( Yebin Ahn ),( Jongchul Lee ),( Hanseok Kwon ),( Jungbin Hong ),( Han-don Um ) 한국전기전자재료학회 2024 전기전자재료학회논문지 Vol.37 No.2
This paper introduces an optimized oxygen (O<sub>2</sub>) plasma surface treatment technique to enhance sphere lithography on hydrophobic photoresist surfaces. The focus is on semiconductor manufacturing, particularly the creation of finer structures beyond the capabilities of traditional photolithography. The key breakthrough is a method that makes substrate surfaces hydrophilic without altering photoresist patterns. This is achieved by meticulously controlling the O<sub>2</sub> plasma treatment duration. The result is the consistent formation of nano and microscale patterns across large areas. From an academic perspective, the study deepens our understanding of surface treatments in pattern formation. Industrially, it heralds significant progress in semiconductor and precision manufacturing sectors, promising enhanced capabilities and efficiency.
Lee, Yebin,Yang, Ilseung,Lee, Jung Eun,Hwang, Sunjin,Lee, Jong Woo,Um, Seung-Soo,Nguyen, Thanh Luan,Yoo, Pil J.,Woo, Han Young,Park, Juhyun,Kim, Seong Keun American Chemical Society 2013 JOURNAL OF PHYSICAL CHEMISTRY C - Vol.117 No.7
<P>We show that Förster resonance energy transfer (FRET) between a conjugated oligoelectrolyte based on distyrylstilbene (DSSN+) and Nile red can enhance photocurrent generation when the photoagents are assembled vertically on gold electrodes. DSSN+ and Nile red intercalated into phospholipid membranes of unilamellar vesicles were found to form a useful FRET system because of the solvatochromic properties of DSSN+, and the accompanying photophysical properties were suitable for FRET with Nile red. As a result, a FRET efficiency of 93–94% was achieved, as shown by steady-state and time-resolved spectra in vesicle solutions. When Nile red was tethered in a self-assembled monolayer of 11-mercaptoundecanoic acid (MUA) on gold electrodes and phospholipid-assembled DSSN+ was sequentially organized on the MUA layer, the anodic photocurrent increased notably, reaching about 815 nA/cm<SUP>2</SUP> by virtue of FRET between the vertically aligned dyes.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jpccck/2013/jpccck.2013.117.issue-7/jp3117193/production/images/medium/jp-2012-117193_0011.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/jp3117193'>ACS Electronic Supporting Info</A></P>
신경회로망을 이용한 말벌 인식 및 분류와 양봉 환경 요소 이상 감지
김은총(Eunchong Kim),우예빈(Yebin Woo),이원욱(Wonuk Lee),한지수(Jisu Han),이인수(Insoo Lee) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.6
본 논문에서는 꿀벌, 장수말벌, 등검은말벌의 비행소리를 FFT(Fast fourier transform) 방법으로 변환하여 주파수 영역에서 분석하였다. 그리고 벌의 종류에 따라 다르게 나타나는 주파수 대역의 특징을 인공신경망에 적용하여 종류를 분류하도록 하였다. 그리고 꿀벌의 생장에 영향을 미치는 환경 요인 모니터링도 수행하였다. 본 연구를 통해 꿀벌을 위협하는 요소들을 효과적으로 감지 및 관리함으로써 양봉 농가의 꿀벌 개체수 보존과 수입 증대에 도움이 될 것으로 예상한다. In this paper, the buzzing sound of Honey bees, Asian giant hornets, and Asian predatory wasp was analyzed in the frequency domain with FFT (Fast fourier transform) method. In addition, the characteristics of the frequency which appear different to each other according to the species of bee were applied to the Artificial Neural Network to classify the kind of bees. This makes it possible to detect the appearance of wasps and handle the changes rapidly. Moreover, the monitoring of environmental factors affecting the growth of honeybees were conducted. it is expected that it will help bee farmers preserve the bee population and promote their income increase by effectively detecting and managing factors that threaten honeybees through this study.
이성광(Sung-Gwang Lee),박한준(Han June Park),이인재(Injae Lee),남예빈(Yebin Nam),황원태(Wontae Hwang) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
As the critical dimension of semiconductors is miniaturized, the semiconductor fabrication process requires extreme purity and cleanliness, and many semiconductor facilities perform the process after creating a vacuum environment. Precursor gases used during the process make patterns by repeating deposition and etching through wafer surface reaction. In order to increase the production yield of circular wafers, it is essential to predict the behavior of process gases in a vacuum environment. Although computational fluid dynamics (CFD) is being performed to predict the airflow, there are very few studies that visualize and analyze the airflow through an experiment in a vacuum environment due to the difficulty of measuring the airflow. Therefore, there is a limit to verifying the CFD results. This study visualizes a supersonic round jet airflow in a vacuum environment in a 2D plane where the absolute pressure is lowered to 1 Torr. Using PIV, the structure of the jet, turbulent kinetic energy (TKE), and vorticity are analyzed by measuring the flow velocity of the jet. In addition, the location, size, and structure of the shockwave were analyzed using shadowgraphy. Through this study, we intend to provide an experimental basis for visualization of airflow in a vacuum environment.
Yin Guo Nan,Kim Do-Kyun,Kang Ji In,Im Yebin,Lee Dong Sun,Han Ah-reum,옥지연,Choi Min-Ji,Kwon Mi-Hye,Limanjaya Anita,Jung Saet-Byel,Yang Jimin,Min Kwang Wook,Yun Jeongwon,Koh Yongjun,Park Jong-Eun,Hwang D 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
Diabetes mellitus (DM) is a chronic metabolic disorder characterized by inappropriate hyperglycemia, which causes endothelial dysfunction and peripheral neuropathy, ultimately leading to multiple complications. One prevalent complication is diabetic erectile dysfunction (ED), which is more severe and more resistant to treatment than nondiabetic ED. The serum glycoprotein leucine-rich ɑ-2-glycoprotein 1 (LRG1) is a modulator of TGF-β-mediated angiogenesis and has been proposed as a biomarker for a variety of diseases, including DM. Here, we found that the adhesion GPCR latrophilin-2 (LPHN2) is a TGF-β-independent receptor of LRG1. By interacting with LPHN2, LRG1 promotes both angiogenic and neurotrophic processes in mouse tissue explants under hyperglycemic conditions. Preclinical studies in a diabetic ED mouse model showed that LRG1 administration into the penile tissue, which exhibits significantly increased LPHN2 expression, fully restores erectile function by rescuing vascular and neurological abnormalities. Further investigations revealed that PI3K, AKT, and NF-κB p65 constitute the key intracellular signaling pathway of the LRG1/LPHN2 axis, providing important mechanistic insights into LRG1-mediated angiogenesis and nerve regeneration in DM. Our findings suggest that LRG1 can be a potential new therapeutic option for treating aberrant peripheral blood vessels and neuropathy associated with diabetic complications, such as diabetic ED.