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Xiao-Lin Wang,Shan Fei,Zhao Han-Lin,Lee Jae-Yun,Yoo Suchang,Ryu Heung Gyoon,Choi Seungkeun,Anvar Tukhtaev,Kim Sung-Jin 대한금속·재료학회 2022 ELECTRONIC MATERIALS LETTERS Vol.18 No.5
A high-performance indium oxide (In 2 O 3 )-based thin-film transistor (TFT) was prepared with aluminum oxide/fluorinated self-assembled monolayer (Al 2 O 3 /F-SAM) double-gate dielectric layer. The Al 2 O 3 /F-SAM double gate dielectric layer improved the performance of the In 2 O 3 -based TFT by reducing the device leakage current. In addition, devices with a double-gate dielectric layer show improved stability under negative bias stress testing compared to devices with a single gate dielectric layer (Al 2 O 3 ), shifting a threshold voltage by only 0.4 V. These results suggest that the Al 2 O 3 /F-SAM doublelayer gate dielectric layer can enhance the performance of In 2 O 3 -based TFTs. Furthermore, it can be used to improve the performance of other metal oxide-based devices by minimizing the leakage current at low operating voltages at low cost.
Solution Processed In₂O₃ Thin-Film Transistor by UV/Ozone Treatment
Han-Lin Zhao(조한림),Fei Shan(선비),Xiao-Lin Wang(왕소림),Jae-Yun Lee(이제윤),Su-Chang Yoo(유수창),Tukhtaev Anvar,Erdiev Jonibek Elmur,Isamaddinov Shukhra,Gim-Yong Hwan(김용환),Jin-Hee Lee(이진희),Sung-Jin Kim(김성진) 대한전기학회 2022 대한전기학회 학술대회 논문집 Vol.2022 No.7
Xiao, Wei-Lie,Shen, Yun-Heng,Niu, Xue-Mei,Sun, Han-Dong,Li, Sheng-Hong 대한약학회 2007 Archives of Pharmacal Research Vol.30 No.7
Two new coumarin glucosides, $11-O-{\beta}-D-glucopyranosyl$ thamnosmonin (1) and $12-O-{\beta}-D-glucopyranosyl$ gosferol (2), were isolated from the roots of Angelica apaensis. Their structures were elucidated spectroscopically. Both compounds showed weak inhibitory effects on rabbit platelet aggregation induced by PAF, AA and APD.
A Systematic Approach to Improve Fuzzy C-Mean Method based on Genetic Algorithm
Xiao-Yun Ye,Myung-Mook Han 한국지능시스템학회 2013 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.13 No.3
As computer technology continues to develop, computer networks are now widely used. As a result, there are many new intrusion types appearing and information security is becoming increasingly important. Although there are many kinds of intrusion detection systems deployed to protect our modern networks, we are constantly hearing reports of hackers causing major disruptions. Since existing technologies all have some disadvantages, we utilize algorithms, such as the fuzzy C-means (FCM) and the support vector machine (SVM) algorithms to improve these technologies. Using these two algorithms alone has some disadvantages leading to a low classification accuracy rate. In the case of FCM, self-adaptability is weak, and the algorithm is sensitive to the initial value, vulnerable to the impact of noise and isolated points, and can easily converge to local extrema among other defects. These weaknesses may yield an unsatisfactory detection result with a low detection rate. We use a genetic algorithm (GA) to help resolve these problems. Our experimental results show that the combined GA and FCM algorithm’s accuracy rate is approximately 30% higher than that of the standard FCM thereby demonstrating that our approach is substantially more effective.
A Systematic Approach to Improve Fuzzy C-Mean Method based on Genetic Algorithm
Ye, Xiao-Yun,Han, Myung-Mook Korean Institute of Intelligent Systems 2013 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.13 No.3
As computer technology continues to develop, computer networks are now widely used. As a result, there are many new intrusion types appearing and information security is becoming increasingly important. Although there are many kinds of intrusion detection systems deployed to protect our modern networks, we are constantly hearing reports of hackers causing major disruptions. Since existing technologies all have some disadvantages, we utilize algorithms, such as the fuzzy C-means (FCM) and the support vector machine (SVM) algorithms to improve these technologies. Using these two algorithms alone has some disadvantages leading to a low classification accuracy rate. In the case of FCM, self-adaptability is weak, and the algorithm is sensitive to the initial value, vulnerable to the impact of noise and isolated points, and can easily converge to local extrema among other defects. These weaknesses may yield an unsatisfactory detection result with a low detection rate. We use a genetic algorithm (GA) to help resolve these problems. Our experimental results show that the combined GA and FCM algorithm's accuracy rate is approximately 30% higher than that of the standard FCM thereby demonstrating that our approach is substantially more effective.
Liu, Xiao-Min,An, Jonguk,Han, Hay Ju,Kim, Sun Ho,Lim, Chae Oh,Yun, Dae-Jin,Chung, Woo Sik Springer 2014 Plant cell reports Vol.33 No.12
<P>ZAT11, a Zinc Finger of Arabidopsis Thaliana 11, is a dual-function transcriptional regulator that positively regulates primary root growth but negatively regulates Ni (2+) tolerance. Zinc Finger of Arabidopsis Thaliana 11 (ZAT11) is a C2H2-type zinc finger protein that has been reported to function as an active transcriptional repressor. However, the biological function of ZAT11 remains unknown. Here we show that GFP-tagged ZAT11 is targeted to the nucleus. Analysis of plants expressing ZAT11 promoter-GUS showed that ZAT11 is highly expressed in roots and particularly in root tips. To identify the biological function of ZAT11, we constructed three independent lines of ZAT11 overexpressing transgenic plant (ZAT11 OE). ZAT11 OE enhanced the elongation of primary root but reduced the metal tolerance against nickel ion (Ni(2+)). The reduced Ni(2+) tolerance of ZAT11 OE was correlated with decreased accumulation of Ni(2+) in plants. The decreased accumulation of Ni(2+) in ZAT11 OE was caused by the reduced transcription of a vacuolar Ni(2+) transporter gene. Taken together, our results suggest that ZAT11 is a dual function transcriptional regulator that positively regulates primary root growth but negatively regulates Ni(2+) tolerance.</P>
Recent advances in the food application of electrospun nanofibers
Wei-Hua Han,Xiao Li,Gui-Feng Yu,Bin-Chang Wang,Lin-Peng Huang,Jingkai Wang,Yun-Ze Long 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.110 No.-
Electrospinning (e-spinning) has excellent advantages in producing functional and versatile nanofibersand electrospun (e-spun) nanofibers have a variety of potential applications, including in food industry. This paper reviews the recent progress of e-spinning and food-related e-spun nanofibers, covering ediblenanofibers (natural materials and food ingredients), active food packaging (antibacterial packaging,antioxidant packaging, high temperature and humidity resistant packaging), food filtration membranes,and food sensors. Additionally, we discussed the new trend of combining nanomaterials with food andthe challenges of applying e-spinning in food science. The results indicated that e-spinning is a promisingand efficient alternative for the production of daily and functional food.