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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>
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.
Park, Sangjune,Kim, Hyunseok,Son, Jeong-Yu,Um, Kyusik,Lee, Sooho,Baek, Yonghyeon,Seo, Boram,Lee, Phil Ho American Chemical Society 2017 Journal of organic chemistry Vol.82 No.19
<P>The Cu-catalyzed, formal aza-[3 + 2] cycloaddition reaction of pyridine derivatives with α-diazo oxime ethers in trifluoroethanol was used to synthesize imidazopyridines via the release of molecular nitrogen and elimination of alcohol. These methods enabled modular synthesis of a wide range of <I>N</I>-heterobicyclic compounds such as imidazopyridazines, imidazopyrimidines, and imidazopyrazines with an α-imino Cu-carbenoid generated from the α-diazo oxime ethers and copper.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/joceah/2017/joceah.2017.82.issue-19/acs.joc.7b01714/production/images/medium/jo-2017-01714z_0011.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/jo7b01714'>ACS Electronic Supporting Info</A></P>
Dynamic recrystallization of the H- and O-tempered Mg AZ31 sheets at elevated temperatures
Park, Chan Hee,Oh, Chang-Seok,Kim, Sooho Elsevier 2012 Materials science & engineering. properties, micro Vol.542 No.-
<P><B>Highlights</B></P><P>► Low-temperature DRX of H- and O-tempered Mg AZ31 sheets was investigated. ► The H sheet exhibited extensive continuous DRX as well as twin-aided DRX. ► Ductility of H sheet was close to that of O one despite of its higher yield stress. ► Post-deformation hardness of H sheet was higher than that of O one. ► Critical strain to initiate DRX of H sheet was much lower than that of O one.</P> <P><B>Abstract</B></P><P>Uniaxial tensile properties influenced by the dynamic recrystallization (DRX) behavior of the partially strain-hardened magnesium AZ31 sheets (H24) containing <I>scores of twins</I> were investigated and compared to those of fully annealed ones (O) with absence of twins. For this purpose, a series of uniaxial tensile tests were carried out for the H24 and O materials at temperatures ranged from room temperature to 300°C and at strain rates between 10<SUP>−3</SUP> and 10<SUP>−1</SUP>s<SUP>−1</SUP>. At 150 and 200°C, the H24 material exhibited higher yield strength without much loss in elongation compared to those of the O material; this trend was attributed to the continuous DRX along or around grain boundaries as well as extensive twin-aided DRX inside grains. In addition, the post-deformation hardness value of the H24 material showed higher than that of the O material. On the other hand, at higher temperatures of 250 and 300°C, it was observed that twins shown in the H24 material were disappeared even prior to deformation, resulting in the similar grain structure and mechanical property values to those of the O material, e.g., discontinuous DRX associated with grain boundary bulging. Finally, the initiation of DRX was rationalized in terms of microstructure morphology, deformation temperature and strain rate, and then modeled in the context of strain hardening rate analysis. A comparison of experimental results and predictions for both H24 and O materials showed that the model can provide a reasonable prediction of critical strain to initiate DRX.</P>
명시적 시간 사건을 처리하는 시간사건 관리자의 설계 및 구현
옥수호(Sooho Ok),박기완(Giwan Park),우용태(Yongtae Woo),안광선(Gwangseon Ahn) 한국정보과학회 1998 정보과학회논문지(B) Vol.25 No.1
본 논문에서는, 관계형 데이타베이스상에서 시간사건 개념을 지원할 수 있도록 시간능동규칙 정의문을 확장하고 이를 처리해주는 시간사건 관리자를 설계하고 구현하였다. 확장된 시간사건은 기본 시간사건과 복합사건으로 구분하였다. 기본 시간사건은 절대시간 사건과 사건수식어 PRE와 POST를 가지는 데이타베이스 연산사건을 명세할 수 있도록 하였다. 복합 시간사건은REL, P1, P2, A1, 및 A2사건연산자를 사용하여 상대시간 사건, 주기사건 및 비주기사건을 명세할 수 있도록 하였다. 명세된 시간 사건들은 시간사건 관리자에 의해 처리되도록 하였다. 시간사건 관리자는 전처리기와 시간사건 탐지기로 구성되었다. 전처리기는 파서, 데이타베이스연산 사건 변환기, 그리고 규칙 생성기로 구성되었다. 시간사건 탐지기는 초기화 모듈, 절대시간 사건탐지기, 데이타베이스 연산 사건탐지기, 복합사건탐지기 및 트랜잭션 관리기로 구성되었다. 이 시간사건 관리자는 확장 관계형 능동데이타베이스인 Posrgres Y4.2 상에서 수행되는 전위시스템으로 구현하였다. In this paper, we extended the temporal active rule definition to support temporal event concepts on the relational database systems, and designed and implemented the Temporal Event Manager to generate and detect temporal events, and trigger the corresponding actions. Temporal events are classified into primitive temporal events and composite events. Primitive temporal events are defined as absoute-time events and database operation events with event modifier, PRE or POST. Composite events are defined as relative time events, periodic events, and aperiodic events by using event operators such as REL, P1, P2, A1, and A2. The defined temporal events are processed by Temporal Event Manager which consists of Preprocessor and Temporal Event Detector. Preprocessor consists of parser, database operation event converter, and rule generator. Temporal Event Detector consists of initializer, absolute-time event detector, database operation event detector, composite event detector, and transaction manager. Temporal Event Detector has been implemented as a front-end system running on the extended relational active database system, Postgres v4.2.