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347 results on '"Bae, S. ‐ H."'

2. Study of α-cluster Structure in 22Mg Using a Radioactive Ion Beam

Author

Cha, S. M., Chae, K. Y., Kim, M. J., Kwag, M. S., Lee, E. J., Abe, K., Hayakawa, S., Shimizu, H., Yamaguchi, H., Yang, L., Bae, S. H., Choi, S. H., Binh, D. N., Duy, N. N., Ge, Z., Phong, V. H., Hahn, K. I., Hong, B., Moon, B., Iwasa, N., Kahl, D., Khiem, L. H., Kim, A., Kim, D. H., Kim, G. W., Lim, S. I., Park, S. Y., Kim, E. J., Kwak, K., and Moon, J. Y.

Published
2018
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3. Study of 19F Levels with Ex = 6.7 - 7.7 MeV by the 15N+α Scattering Experiment

Author

Kim, D., Kim, G. W., Park, S. Y., Kim, A., Hahn, K. I., Abe, K., Beliuskina, O., Hayakawa, S., Imai, N., Kitamura, N., Sakaguchi, Y., Yamaguchi, H., Cha, S. M., Chae, K. Y., Kwag, M. S., Hong, S. W., Lee, E. J., Lee, J. H., Lee, E. K., Moon, J. Y., Bae, S. H., Choi, S. H., Kubono, S., Panin, V., Wakabayashi, Y., Iwasa, N., Kahl, D., and Chen, A. A.

Published
2018
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5. Similarity Retrieval Based on SOM-Based R*-Tree

Author

Choi, K. H., Shin, M. H., Bae, S. H., Kwon, C. H., Ra, I. H., Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Bubak, Marian, editor, van Albada, Geert Dick, editor, Sloot, Peter M. A., editor, and Dongarra, Jack, editor

Published
2004
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24. An international collaborative evaluation of central serous chorioretinopathy: different therapeutic approaches and review of literature. The European Vitreoretinal Society central serous chorioretinopathy study

Author

Romano, M. R., Parolini, B., Allegrini, D., Mickalewska, Z., Adelman, R., Bonovas, S., Bopp, S., Citirik, M., Tekin, K., Fiser, I., Boon, C. J. F., Van, D., Donvito, G., Gungel, H., Ozdogan Erkul, S., Unsal, E., Osmanbasoglu, O., Dincer, N., Ercalik, N. Y., Yenerel, N. M., Amar, J. -P., Ennemoser, A., Besozzi, G., Sallam, A. A. B., Ellabban, A. A., Chang, W., Eandi, C. M., Demir, M., Lee, J., Pak, K., Arrevola, L., Sloka, A., Morawski, K., Kulig - Stochmal, A., Romanowska - Dixon, B., Striebe, N. -A., Feltgen, N., Hoerauf, H., Inan, U. U., Tanev, I., Dyrda, A., Schuler, A., Lucke, K., Brix, A., Pape, S., Kusserow-Napp, C., Loo, P. A., Kanra, A. Y., Ardagil Akcakaya, A., Ari Yaylali, S., Bae, S. H., Kim, H. K., Kim, S. J., Han, J. R., Nam, W. H., Odrobina, D., Lavaque, E., Bertelli, E., Coser, S., Ziemssen, F., Forlini, M., Benatti, C., Cavallini, G. M., Stefanickova, J., Berrod, J. -P., Saksonov, S., Lytvinchuk, L., Moussa, M., Stefaniotou, M., Christodoulou, E., Zayed, M. A., Oz, O., Tassinari, P., Koch, P., Declercq, C., Johnston, R., Rusnak, S., Penas, S., Ozdek, S., Ucgul, Y., Cisiecki, S., Dziegielewski, K., Klimczak, D., Michalewska, Z., Michalewski, J., Nawrocka, Z., Nawrocki, J., Ornafel, K., Pikulski, Z., Maciej, M., Acar, N., Elshafei, M. M., Hamon, F., Soyeur, R., Badat, I., Brousseau, B., Hermouet, E., Peiretti, E., Lee, J. -H., Ferreira, N., Yoon, H. -S., Alkhars, W. I., Dudani, A., Minu, R., Telang, O., Morepatil, V. G., Furtado, M. J., Y. -J., Jo, Piccolino, F. C., Finzi, A., Ophthalmology, and Amsterdam Neuroscience - Complex Trait Genetics

Subjects
Pars plana, medicine.medical_specialty, Visual acuity, medicine.medical_treatment, Vitrectomy, 03 medical and health sciences, 0302 clinical medicine, PDT, Ophthalmology, medicine, central serous chorioretinopathy, First episode, Aspirin, Univariate analysis, medicine.diagnostic_test, business.industry, General Medicine, Fluorescein angiography, eye diseases, laser, Serous fluid, medicine.anatomical_structure, 030221 ophthalmology & optometry, medicine.symptom, business, 030217 neurology & neurosurgery, medicine.drug
Abstract

Purpose: To study and compare the efficacy of different therapeutic options for the treatment of central serous chorioretinopathy (CSCR). Methods: This is a nonrandomized, international multicentre study on 1719 patients (1861 eyes) diagnosed with CSCR, from 63 centres (24 countries). Reported data included different methods of treatment and both results of diagnostic examinations [fluorescein angiography and/or optical coherent tomography (OCT)] and best-corrected visual acuity (BCVA) before and after therapy. The duration of observation had a mean of 11 months but was extended in a minority of cases up to 7 years. The aim of this study is to evaluate the efficacy of the different therapeutic options of CSCR in terms of both visual (BCVA) and anatomic (OCT) improvement. Results: One thousand seven hundred nineteen patients (1861 eyes) diagnosed with CSCR were included. Treatments performed were nonsteroidal anti-inflammatory eye drops, laser photocoagulation, micropulse diode laser photocoagulation, photodynamic therapy (PDT; Standard PDT, Reduced-dose PDT, Reduced-fluence PDT), intravitreal (IVT) antivascular endothelial growth factor injection (VEGF), observation and other treatments. The list of the OTHERS included both combinations of the main proposed treatments or a variety of other treatments such as eplerenone, spironolactone, acetazolamide, beta-blockers, anti-anxiety drugs, aspirin, folic acid, methotrexate, statins, vitis vinifera extract medication and pars plana vitrectomy. The majority of the patients were men with a prevalence of 77%. The odds ratio (OR) showed a partial or complete resolution of fluid on OCT with any treatment as compared with observation. In univariate analysis, the anatomical result (improvement in subretinal fluid using OCT at 1 month) was favoured by age 500 μm (p = 0.03). The OR for obtaining partial or complete resolution showed that anti-VEGF and eyedrops were not statistically significant; whereas PDT (8.5), thermal laser (11.3) and micropulse laser (8.9) lead to better anatomical results with less variability. In univariate analysis, the functional result at 1 month was favoured by first episode (p = 0.04), height of subretinal fluid >500 μm (p

Published
2019
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33. Improving the Performance of Heterogeneous Network Systems in Machine Learning-based 5G Mobile Communication System.

Author

Kim, Y. H., Lee, D. Y., Bae, S. H., and Kim, T. Y.

Subjects
DATA transmission systems, MOBILE communication systems, STREAMING video & television, 5G networks, NETWORK performance, ALGORITHMS, NETWORK PC (Computer), SUPPORT vector machines
Abstract

Mobile traffic, which has increased significantly with the emergence of Fourth generation longterm evolution (4G-LTE) communications and advances in video streaming services, is still currently increasing at an incredible pace. Fifth-generation (5G) mobile communication systems, which were developed to deal with such a drastic increase in mobile traffic, aim to achieve ultra-high-speed data transmission, low latency, and the accommodation of many more connected devices compared to 4G-LTE systems. 5G communication uses high-frequency bandwidth to implement these features, which leads to an inevitable drawback of a high path loss. In order to overcome this disadvantage, small cell technology was developed, and is defined as small, low-power base stations that can extend the network coverage and solve the shadow area problem. Although small cell technology has these advantages, different problems, such as the effects of interference due to the deployment of a large number of small cells and the differences in devices accessing the network, need to be solved. To do so, it is necessary to develop an algorithm for a service method. However, general algorithms have difficulties in responding to the diverse environment of mobile communication systems, such as sudden increase in traffic in certain areas or sudden changes in the mobile population, and machine learning technology has been applied to solve this problem. This study employs a machine learning algorithm to determine small cell connections. In addition, a 5G macro system, the application of small cells, and the application of machine learning algorithms are compared to determine the performance improvement in the machine learning algorithm. Moreover, Support Vector Machine (SVM), Logistic Regression and Decision Tree algorithm are employed to show a training method that uses basic training data and a small cell on-off method, and the performance enhancement is verified based on this method. [ABSTRACT FROM AUTHOR]

Published
2021
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40. NON-B, NON-C HEPATOCELLULAR CARCINOMA IN KOREA

Author

Ahn, B. M., Park, Y. M., Byun, B. H., Park, T. W., Chung, E. S., Bae, S. H., Choi, J. Y., Yoon, S. K., Cho, S. H., Cha, S. B., Jung, K. W., Sun, H. S., Park, D. H., Kim, B. S., Kim, B. K., Kim, D. K., and Kim, I. C.

Published
2000

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