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University of Illinois at Urbana-Champaign (UIUC)

3 ARTICLES PUBLISHED IN JoVE

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Chemistry

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion
Siauw H. Ng 1, Yu Shi 1, Nicole E. Heshka 1, Yi Zhang 1, Edward Little 1
1CanmetENERGY, Natural Resources Canada

This paper presents an experimental method to produce biofuels and biochemicals from canola oil mixed with a fossil-based feed in the presence of a catalyst at mild temperatures. Gaseous, liquid, and solid products from a reaction unit are quantified and characterized. Conversion and individual product yields are calculated and reported.

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Medicine

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Dibakar Sigdel *1,2, Vincent Kyi *1,2, Aiden Zhang *1, Shaun P. Setty 3, David A. Liem 1,2,4, Yu Shi 5, Xuan Wang 5, Jiaming Shen 5, Wei Wang 1,6,7, JiaWei Han 5, Peipei Ping 1,2,4,6
1The NIH BD2K Center of Excellence in Biomedical Computing, University of California, Los Angeles, 2Department of Physiology, University of California, Los Angeles, 3Department of Pediatric and Adult Congenital Heart Surgery, Miller Children's and Women's Hospital and Long Beach Memorial Hospital, 4Department of Medicine/Cardiology, University of California, Los Angeles, 5NIH BD2K Program Centers of Excellence for Big Data Computing -- KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC), 6Scalable Analytics Institute (ScAi), University of California, Los Angeles, 7Department of Computer Science, University of California, Los Angeles

We present a protocol and associated programming code as well as metadata samples to support a cloud-based automated identification of phrases-category association representing unique concepts in user selected knowledge domain in biomedical literature. The phrase-category association quantified by this protocol can facilitate in depth analysis in the selected knowledge domain.

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Cancer Research

Fluorescence Microscopy for ATP Internalization Mediated by Macropinocytosis in Human Tumor Cells and Tumor-xenografted Mice
Corinne M. Nielsen *1,2,3, Yanrong Qian *4, Subhodip Adhicary 1,5, Yunsheng Li 4, Pratik Shriwas 1,2,4, Xuan Wang 1,2,4, Lindsey Bachmann 6, Xiaozhuo Chen 1,2,4,7
1Department of Biological Sciences, Ohio University, 2Molecular and Cellular Biology Program, Ohio University, 3Neuroscience Program, Ohio University, 4Edison Biotechnology Institute, Ohio University, 5Translational Biomedical Sciences Program, Ohio University, 6Honors Tutorial College, Ohio University, 7Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University

We developed a reproducible method to visualize the internalization of nonhydrolyzable fluorescent adenosine triphosphate (ATP), an ATP surrogate, with high cellular resolution. We validated our method using independent in vitro and in vivo assays-human tumor cell lines and immunodeficient mice xenografted with human tumor tissue.

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