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Lee, Sooho,Yoon, Da-Eun,Kim, Dahin,Shin, Do Joong,Jeong, Byeong Guk,Lee, Dongkyu,Lim, Jaehoon,Bae, Wan Ki,Lim, Hyung-Kyu,Lee, Doh C. The Royal Society of Chemistry 2019 Nanoscale Vol.11 No.32
<P>Zn chalcogenides are suitable candidates for blue-emitting fluorophores in light-emitting devices. In particular, the efforts to grow ZnSe nanocrystals (NCs) with fine control over size and shape <I>via</I> bottom-up approaches have faced challenges because of the slow decomposition of Zn precursors. In this study, we report direct cation exchange from CdSe NCs to ZnSe. Absorption spectroscopy and density functional theory (DFT) analysis reveal that the reactivity of cation exchange depends on the degree of complexation between organic ligands and Zn halides. We controlled the binding strength of Zn complexes by changing the organic ligands and halogen species that bind with Zn. Appropriate binding strength allows for the release of Zn ions and their facile incorporation into CdSe seed NCs. Under our experimental conditions, trioctylphosphine oxide (TOPO)-ZnI2 drives the efficient cation exchange reaction whereas TOPO-ZnCl2 induces no cation exchange of CdSe NCs. In addition, functional groups vary the binding strength between Zn and ligands. Oleylamine (OLAm)-ZnI2, which has a weaker ligand-ZnI2 binding than TOPO-ZnI2, breaks down the original morphologies of host CdSe NCs due to the very fast exchange rate. On the other hand, the TOPO-ZnI2 complex induces a mild exchange rate, leading to transformation into various morphologies such as CdSe nanorods (NRs) and nanoplatelets (NPLs) into CdSe/ZnSe heterostructures inaccessible <I>via</I> other synthesis methods. The incorporation of Zn into various morphologies of CdSe results in tunable optical transitions in blue-UV regions. The synthesis of heterostructured NCs in an elongated morphology is possible, opening opportunities in photocatalysis, light emitting diodes, and luminescent solar concentrators.</P>
Sooho Park,Han-Lim Choi,Nicholas Roy,Jonathan P. How 한국항공우주학회 2010 International Journal of Aeronautical and Space Sc Vol.11 No.4
This work addresses problems regarding trajectory planning for unmanned aerial vehicle sensors. Such sensors are used for taking measurements of large nonlinear systems. The sensor investigations presented here entails methods for improving estimations and predictions of large nonlinear systems. Thoroughly understanding the global system state typically requires probabilistic state estimation. Thus, in order to meet this requirement, the goal is to find trajectories such that the measurements along each trajectory minimize the expected error of the predicted state of the system. The considerable nonlinearity of the dynamics governing these systems necessitates the use of computationally costly Monte-Carlo estimation techniques, which are needed to update the state distribution over time. This computational burden renders planning to be infeasible since the search process must calculate the covariance of the posterior state estimate for each candidate path. To resolve this challenge, this work proposes to replace the computationally intensive numerical prediction process with an approximate covariance dynamics model learned using a nonlinear time-series regression. The use of autoregressive time-series featuring a regularized least squares algorithm facilitates the learning of accurate and efficient parametric models. The learned covariance dynamics are demonstrated to outperform other approximation strategies, such as linearization and partial ensemble propagation, when used for trajectory optimization, in terms of accuracy and speed, with examples of simplified weather forecasting.
Tracking Study About Adenovirus 36 Infection: Increase of Adiposity
( Sooho Park ),( Jihye Kim ),( Hye Jung Shin ),( Young Mi Hong ),( Youn Ho Sheen ),( Hye Lim Park ),( Hyun Jung Jeon ),( Sun Young Ahn ),( Jae Hwan Nam ) 한국미생물 · 생명공학회 2015 Journal of microbiology and biotechnology Vol.25 No.12
This study investigated the cross-sectional and longitudinal association between adenovirus 36 (Ad36) and obesity in 79 Korean adolescent boys over 1 year. We analyzed the changes in body composition and metabolic risk factors according to the presence of Ad36 antibodies. Ad36 antibodies in serum were detected using the constant virus-decreasing serum method. We found that the fat percentage and fasting insulin in the Ad36-seropositive group were greater than the Ad36-seronegative group. These results suggest that Ad36 infection is associated with an increase of adiposity, and the experience of Ad36 infection may affect the future fat gain of adolescents.
Obesity-induced chronic inflammation is associated with the reduced efficacy of influenza vaccine.
Park, Hye-Lim,Shim, Seung-Hyun,Lee, Eun-Young,Cho, Whajung,Park, Sooho,Jeon, Hyun-Jung,Ahn, Sun-Young,Kim, Hun,Nam, Jae-Hwan Landes Bioscience 2014 Human Vaccines & Immunotherapeutics Vol.10 No.5
<P>The relationship between obesity and vaccine efficacy is a serious issue. Previous studies have shown that vaccine efficacy is lower in the obese than in the non-obese. Here, we examined the influence of obesity on the efficacy of influenza vaccination using high fat diet (HFD) and regular fat diet (RFD) mice that were immunized with 2 types of influenza virus vaccines-cell culture-based vaccines and egg-based vaccines. HFD mice showed lower levels of neutralizing antibody titers as compared with RFD mice. Moreover, HFD mice showed high levels of MCP-1 in serum and adipocytes, and low level of influenza virus-specific effector memory CD8(+) T cells. After challenge with influenza virus, the lungs of HFD mice showed more severe inflammatory responses as compared with the lungs of RFD mice, even after vaccination. Taken together, our data suggested that the inflammatory condition in obesity may contribute to the suppressed efficacy of influenza vaccination.</P>