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Mosquito Fauna of Habitats for Migratory Birds in Korea
Hyunwoo Kim,Sung Chan Yang,Hyung Woo Lim,Chan Hee Park,Wook-Gyo Lee,Jong Yul Roh,Mi Yeoun Park,E-Hyun Shin 한국응용곤충학회 2013 한국응용곤충학회 학술대회논문집 Vol.2013 No.10
Habitats for migratory birds provide good blood source for blood sucking insects including mosquitoes, which may lead to high population mosquito species. This study was intended to know mosquito fauna in habitats for migratory birds that have preference for bird’s blood. We selected 7 locations for migratory birds (Ansan: a great reedy marsh in lake of Shihwa; Cheonan, Gyeongju, and Pyeongtaek: pine forest; Seosan: a reclaimed land near bay of Cheonsu ; Ulsan: great bamboo forest around Teahwa river) and subdivided each location with four habitats (forest, swamp, cow shed and downtown area) as mosquito collecting site. We used two types of trap for mosquito collection such as CDC black light trap and BG Sentinel trap. Additionally, we use black light and dry ice as an attractive source, respectively. A total of 27,615 mosquitoes representing 9 genera and 18 species were collected. In Ansan, 9 genera and 17 species were collected and in the other locations only 11 to 12 species. Representing by habitats shows this; in forest 9 genera and 17 species, in swamp 8 genera and 16 species, in cow shed 6 genera and 12 species, in downtown 8 genera and 17 species. The dominant species was Culex pipiens (60%) followed by Aedes vexans (11%), Anopheles spp. (8%), Aedes albopictus (7%), and Armigeres subalbatus (5%).
Effect of Cadherin-11 Expression on the Prognosis of a Newly Diagnosed Primary Glioblastoma
( Hyunwoo Seo ),( Hye Won Lee ),( Sang-youl Yoon ),( Sung Hyun Chang ),( Seong-hyun Park ),( Jeong-hyun Hwang ),( Tae In Park ),( Ki-su Park ) 대한뇌종양학회 대한신경종양학회 2021 Brain Tumor Research and Treatment Vol.9 No.2
Background Cadherin-11, a cell-to-cell adhesion molecule, is associated with higher tumor grade and decreased patient survival. The purpose of this study was to investigate the clinical significance of cadherin-11 expression in the progression and prognosis of a newly diagnosed primary glioblastoma (GBL). Methods Between 2007 and 2016, 52 out of 178 patients diagnosed with a GBL and satisfied the following criteria: 1) a new primary GBL, 2) gross-total resection, 3) immunohistochemically-available tissue, and 4) standardized adjuvant treatment. Results In terms of staining intensity, the low-intensity cadherin-11 group showed longer progression- free survival (PFS) than the high-intensity cadherin-11 group (median PFS, 12.0 months [95% CI, 11.1-12.9] vs. median PFS, 6.0 months [95% CI, 3.7-8.3]; p<0.001). The low-intensity cadherin-11 group revealed longer overall survival (OS) than the high-intensity cadherin-11 group (median OS, 20.0 months [95% CI, 11.8-16.6] vs. median OS, 15.0 months [95% CI, 11.8-18.2]; p=0.003). The staining intensity of cadherin-11 was a statistically significant factor in PFS and OS in terms of univariate and multivariate analyses (univariate analysis: p<0.001 and p=0.005; multivariate analysis: p<0.001 and p=0.005). Conclusion Our clinical study demonstrates high cadherin-11 expression may be associated with poor PFS and OS for a newly diagnosed primary GBL.
Park Hyunwoo,Lee Jaedong 한국컴퓨터산업협회 2023 Human-centric Computing and Information Sciences Vol.13 No.-
Federated learning is a decentralized structure for distributed multi-center clinical data research, which is more secure than centralized structures because personal information is not directly shared. However, there are residual threats to information security, such as eavesdropping, training server hacking, and adversarial attacks. This paper presents a hybrid-quantum-key-based secure federated learning (HQK-FL) for distributed multi-center clinical studies. The proposed method is a new approach based on hybrid quantum keys that provides robust security for distributed multi-center disease diagnosis research. We objectively evaluated the effectiveness of the proposed method by experimenting with different models and datasets for predicting coronavirus disease 2019 (COVID-19) and pneumonia using chest X-ray images and predicting sepsis using the Medical Information Mart for Intensive Care (MIMIC-III) dataset, which is a widely used database in medical research. Federated learning showed promising results in improving the accuracy of predicting COVID, pneumonia, and sepsis, and it outperformed the single-center approach. It achieved an average area under the precision–recall curve of 0.791 for COVID, which is 3.7% better than the single-center results. For pneumonia and sepsis, it reached 0.710 and 0.748, which indicates improvements of 6.3% and 3.2%, respectively. We compared and analyzed the resource usage and computational time of HQK-FL through various experiments. HQK-FL can enhance the security of federated learning while maintaining its predictive performance. It can increase the memory usage by up to 4% and slightly increases the computational time. The comparison result showed no significant difference in memory usage and slight differences in the transmission and computational time between the client and server.
Effect of ozone concentration on atomic layer deposited tin oxide
Park, Hyunwoo,Park, Joohyun,Shin, Seokyoon,Ham, Giyul,Choi, Hyeongsu,Lee, Seungjin,Lee, Namgue,Kwon, Sejin,Bang, Minwook,Lee, Juhyun,Kim, Bumsik,Jeon, Hyeongtag American Institute of Physics 2018 Journal of Vacuum Science & Technology. A Vol.36 No.5