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Comparison of various image fusion methods for impervious surface classification from VNREDSat-1
Hung V. Luu,Manh V. Pham,Chuc D. Man,Hung Q. Bui,Thanh T.N. Nguyen 국제문화기술진흥원 2016 International Journal of Advanced Culture Technolo Vol.4 No.2
Impervious surfaces are important indicators for urban development monitoring. Accurate mapping of urban impervious surfaces with observational satellites, such as VNREDSat-1, remains challenging due to the spectral diversity not captured by an individual PAN image. In this article, five multi-resolution image fusion techniques were compared for the task of classifting urban impervious surfaces. The result shows that for VNREDSat-1 dataset, UNB and Wavelet tranformation methods are the best techniques in reserving spatial and spectral information of original MS image, respectively. However, the UNB technique gives the best results when it comes to impervious surface classification, especially in the case of shadow areas included in non-impervious surface group.
Bui Manh-Hung,Lee Da Yun,Park Sang Jun,Park Kyu Hyung 대한의학회 2023 Journal of Korean medical science Vol.38 No.23
Background: A paucity of data addressing real-world treatment of myopic choroidal neovascularization (mCNV) in the era of anti-vascular endothelial growth factor (VEGF) drugs led us to investigate real-world treatment intensity and treatment patterns in patients with mCNV. Methods: This is a retrospective, observational study using the Observational Medical Outcomes Partnership-Common Data Model database of treatment-naïve patients with mCNV over the 18-year study period (2003–2020). Outcomes were treatment intensity (time trends of total/average number of prescriptions, mean number of prescriptions in the first year and the second year after initiating treatment, proportion of patients with no treatment in the second year) and treatment patterns (subsequent patterns of treatment according to the initial treatment). Results: Our final cohort included 94 patients with at-least 1-year observation period. Overall, 96.8% of patients received anti-VEGF drugs as first-line treatment, with most of injections from bevacizumab. The number of anti-VEGF injections in each calendar year showed an increasing trend over time; however, there was a drop in the mean number of injections in the second year compared to the first year from 2.09 to 0.47. About 77% of patients did not receive any treatment in their second year of treatment regardless of drugs. Most of patients (86.2%) followed non-switching monotherapy only and bevacizumab was the most popular choice either in the first-line (68.1%) or in the second-line (53.8%) of treatment. Aflibercept was increasingly used as the first-line treatment for patients with mCNV. Conclusion: Anti-VEGF drugs have become the treatment of choice and second-line treatment for mCNV over the past decade. Anti-VEGF drugs are effective for the treatment of mCNV as the non-switching monotherapy is the main treatment regimen in most cases and the number of treatments decreases significantly in the second year of treatment.
Comparison of various image fusion methods for impervious surface classification from VNREDSat-1
Luu, Hung V.,Pham, Manh V.,Man, Chuc D.,Bui, Hung Q.,Nguyen, Thanh T.N. The International Promotion Agency of Culture Tech 2016 International Journal of Advanced Culture Technolo Vol.4 No.2
Impervious surfaces are important indicators for urban development monitoring. Accurate mapping of urban impervious surfaces with observational satellites, such as VNREDSat-1, remains challenging due to the spectral diversity not captured by an individual PAN image. In this article, five multi-resolution image fusion techniques were compared for the task of classifting urban impervious surfaces. The result shows that for VNREDSat-1 dataset, UNB and Wavelet tranformation methods are the best techniques in reserving spatial and spectral information of original MS image, respectively. However, the UNB technique gives the best results when it comes to impervious surface classification, especially in the case of shadow areas included in non-impervious surface group.
Triterpenoid saponins from the roots of Rosa rugosa Thunb. as rat intestinal sucrase inhibitors
Nguyen Phuong Thao,Bui Thi Thuy Luyen,주성호,Tran Manh Hung,Nguyen Xuan Cuong,Nguyen Hoai Nam,권영인,Chau Van Minh,김영호 대한약학회 2014 Archives of Pharmacal Research Vol.37 No.10
Medicinal plants constitute an important sourceof potential therapeutic agents for diabetes. The purpose ofpresent study is to investigate the effect of root extract ofRosa rugosa Thunb. on inhibition of sucrase related todiabetes mellitus (DM). Bioassay-guided fractionation ofthe methanol extract led to the identification of 13 triterpenoidsaponins (1–13). Their structures were elucidatedon the basis of extensive spectroscopic analysis, including1D, 2D NMR, and MS. The n-butanol fraction showedpotent rat intestinal sucrase inhibitory activity with value of87.62 ± 5.84 % inhibition compared to the positive controlacarbose (50.96 ± 2.97 % inhibition at 0.02 mM). Subsequently, compounds 11–13 (1.0 mM) exhibited significantsucrase inhibitory activity, with inhibition percentagevalues of 41.17 ± 3.52, 46.80 ± 4.00, and39.39 ± 4.19 %, respectively. Whereas, compounds 2–6,8, and 10 showed moderate sucrase inhibitory activity(ranging from 13.26 ± 7.00 to 32.08 ± 6.04 % inhibition)at a same concentration. The data provide a starting pointfor creating new sucrase inhibitors, which may be usefulfor the development of effective therapies for the treatmentof DM.