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Your search keyword '"Huang, Ke-Jung"' showing total 22 results
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22 results on '"Huang, Ke-Jung"'

2. Deletion of a previously uncharacterized lipoprotein lirL confers resistance to an inhibitor of type II signal peptidase in Acinetobacter baumannii

Author

Huang, Ke-Jung, primary, Pantua, Homer, additional, Diao, Jingyu, additional, Skippington, Elizabeth, additional, Volny, Michael, additional, Sandoval, Wendy, additional, Tiku, Varnesh, additional, Peng, Yutian, additional, Sagolla, Meredith, additional, Yan, Donghong, additional, Kang, Jing, additional, Katakam, Anand Kumar, additional, Michaelian, Nairie, additional, Reichelt, Mike, additional, Tan, Man-Wah, additional, Austin, Cary D., additional, Xu, Min, additional, Hanan, Emily, additional, and Kapadia, Sharookh B., additional

Published
2022
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5. A distant upstream site involved in the negative regulation of the Escherichia coli ompF gene

Author

Huang, Ke-Jung, Schieberl, James L., and Igo, Michele M.

Subjects
Escherichia coli -- Genetic aspects, Binding sites (Biochemistry) -- Research, Genetic transcription -- Analysis, Biological sciences
Abstract

A new OmpR-binding site between 384 to 351 bp upstream from the source of ompF transcription promotes ompF expression by suppressing the repressor of ompF expression. The placement of this binding site, bent DNA content in the ompF regulatory region and the promotion of ompF expression by mutations which alter integration host factor indicate a DNA loop structure participation in the negative regulation of ompF.

Published
1994

20. Rolling SLIP model based running on a hexapod robot.

Author

Huang, Chun-Kai, Huang, Ke-Jung, and Lin, Pei-Chun

Abstract

We report on development of dynamic running behavior on the RHex-style hexapod robot. By using the Rolling SLIP (R-SLIP) model as the “template” of the robot, together with the investigation of the stability properties of the R-SLIP model, the robot implemented with the selected trajectory based on the R-SLIP motion can immediately excite its dynamic running behavior (i.e., composed of stance and flight phases) without necessity of extra tuning or optimization effort. In addition, a feedback control strategy is proposed to regulate the robot's motion when the robot's operating region is not located at the stable area of the R-SLIP model (i.e., no stable fixed point). The controller includes three portions: a body velocity estimator, a database containing a wide range of pre-computed R-SLIP trajectories, and a control law which regulates the robot motion to the desired R-SLIP profile. The proposed methodology of robot trajectory generation and strategy of running regulation are experimentally evaluated. [ABSTRACT FROM PUBLISHER]

Published
2013
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