Hoa M. Nguyen

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Oil bodies are sites of energy and carbon storage in many organisms including microalgae. As a step toward deciphering oil accumulation mechanisms in algae, we used proteomics to analyze purified oil bodies from the model microalga Chlamydomonas reinhardtii grown under nitrogen deprivation. Among the 248 proteins (≥ 2 peptides) identified by LC-MS/MS, 33(More)
UNLABELLED Antimicrobial resistance (AMR) is a global health problem, and emerging semi-intensive farming systems in Southeast Asia are major contributors to the AMR burden. We accessed 12 pig and chicken farms at key stages of production in Tien Giang Province, Vietnam, to measure antimicrobial usage and to investigate the prevalence of AMR to five(More)
The ω-3 polyunsaturated fatty acids account for more than 50% of total fatty acids in the green microalga Chlamydomonas reinhardtii, where they are present in both plastidic and extraplastidic membranes. In an effort to elucidate the lipid desaturation pathways in this model alga, a mutant with more than 65% reduction in total ω-3 fatty acids was isolated(More)
BACKGROUND Oils produced by microalgae are precursors to biodiesel. To achieve a profitable production of biodiesel from microalgae, identification of factors governing oil synthesis and turnover is desirable. The green microalga Chlamydomonas reinhardtii is amenable to genetic analyses and has recently emerged as a model to study oil metabolism. However, a(More)
Microalgae have emerged as a promising source for biofuel production. Massive oil and starch accumulation in microalgae is possible, but occurs mostly when biomass growth is impaired. The molecular networks underlying the negative correlation between growth and reserve formation are not known. Thus isolation of strains capable of accumulating carbon(More)
This paper presents time scale analysis and synthesis (control) methodology for Model Predictive Control (MPC). In this method, a higher-order plant with a two-time (slow and fast) scale character is analyzed (decoupled) into low-order slow and fast subsystems and sub-augmented systems. Then slow and fast subcontrollers based on MPC method are synthesized(More)
As the demand of the wind energy increase, investigations focus on maximizing the energy extraction and efficiency through the design of key components such as blades, gearboxes, generators, etc and implementation of advanced control strategies. This paper focuses on a new application of nonlinear, feedback optimal control strategy to Wind Energy Conversion(More)
An essential control objective of wind energy conversion systems (WECSs) is to maximize the conversion of wind energy into electrical energy. This control objective is difficult to achieve using linear control techniques because the WECSs are time-varying and highly nonlinear. In this paper, we propose a nonlinear fuzzy adaptive output feedback control(More)
This paper presents a reduced-order H∞ optimal control for wind energy conversion systems. Two different timescale (slow and fast) dynamics of wind energy conversion systems are separated and processed independently using the singular perturbation theory. By using the decomposition technique, low-order, independent H∞ optimal filters and controllers are(More)