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9篇 您的检索式:作者名="Jun Hyung Lim"
    题名 作者 年代 出处 被引量
1Chronic hepatitis B: whom to treat and for how long? Propositions, challenges, and future directions显示文摘Sang Hoon Ahn Henry L. Y. Chan Pei-Jer Chen Jun Cheng Mahesh K. Goenka Jinlin Hou Seng Gee Lim Masao Omata Teerha Piratvisuth Qing Xie Hyung Joon Yim Man-Fung Yuen 2010Hepatology International2010,,1:3
2The effects of the firing temperature of YBCO coated conductors fabricated by TFA- MOD process显示文摘Seok Hem Jang Jun Hyung Lim Kyu Tae Kim 2006Physica C2006,,:1
3Effects of heat treatment and film thickness on microstructure and critical properties of YBCO film processed by TFA- MOD 显示文摘Seok Hem Jang Jun Hyung Lim Jin Sung Lee 2007Physica C2007,451,:1
4Management and Outcome of Gastrointestinal Stromal Tumors of the Duodenum显示文摘Jun Chul Chung Chong Woo Chu Gyu Seok Cho Eung Jin Shin Chul Wan Lim Hyung Chul Kim Ok Pyung Song 2010Journal of Gastrointestinal Surgery2010,,5:1
5Role of alkyl chain length and mole concentration of hydrophobic moiety in association behavior of amphiphilic polyelectrolytes in aqueous media显示文摘Hyung Jun Lim Eun Chul Cho Junoh Kim Ih-Seop Chang 2006Colloids and Surfaces A: Physicochemical and Engineering Aspects2006,,1:1
6Development of cube-textured Ni-W alloy substrates for YBCO-coated conductor显示文摘Kyu Tae Kim Jun Hyung Lim Jung Ho Kim 2004Physica C2004,,412414:1
7Smooth muscle progenitor cells from peripheral blood promote the neovascularization of endothelial colony-forming cells显示文摘Hyung Joon Joo Ha-Rim Seo Hyo Eun Jeong Seung-Cheol Choi Jae Hyung Park Cheol Woong Yu Soon Jun Hong Seok Chung Do-Sun Lim 2014Biochemical and Biophysical Research Communications2014,,:1
8Effect of polymer characteristics on structure of polymer-liposome complexes显示文摘Eun Chul Cho Hyung Jun Lim Jongwon Shim Ju Young Park Nily Dan Junoh Kim Ih-Seop Chang 2007Journal of Colloid and Interface Science2007,311,1:1
9Advances in Liquid Chromatography-Mass Spectrometry-Based Lipidomics: A Look Ahead显示文摘Lipidomics is a subfield of metabolic phenotyping that focuses on high-throughput profiling and quantification of lipids.Essential roles of lipidomics in translational and clinical research have emerged,especially over the past decade.Most lipidomic pipelines have been developed using mass spectrometry(MS)-based methods.Because of the complexity of the data,generally,computational demands are much higher in untargeted lipidomic studies.In the current paper,we primarily discussed the recent advances in untargeted liquid chromatography-mass spectrometry-based lipidomics,covering various facets from analytical strategies to functional interpretations.The current practice of tandem MS-based lipid annotation in untargeted lipidomics studies was demonstrated.Notably,we highlighted the essential characteristics of machine learning models,together with a data partitioning strategy,to facilitate appropriate modeling and validation in metabolic phenotyping studies.Critical aspects of data sharing were briefly mentioned.Finally,certain recommendations were suggested toward more standardized and sustainable lipidomics analysis strategies as independent platforms,and as members of the omics family.Nguyen Phuoc Long Seongoh Park Nguyen Hoang Anh Sun Jo Kim Hyung Min Kim Sang Jun Yoon Johan Lim Sung Won Kwon 2020Journal of Analysis and Testing2020,4,3:0
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