- Power System Optimization and Stability
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Energy Load and Power Forecasting
- Advanced Battery Technologies Research
- Electric Motor Design and Analysis
- Metabolomics and Mass Spectrometry Studies
- Smart Grid Energy Management
- Genomics and Phylogenetic Studies
- Optimal Power Flow Distribution
- Fault Detection and Control Systems
- Computational Physics and Python Applications
- Photoreceptor and optogenetics research
- Real-time simulation and control systems
- Salmonella and Campylobacter epidemiology
- Microgrid Control and Optimization
- Power System Reliability and Maintenance
- Electric Vehicles and Infrastructure
- Control Systems and Identification
- Neurogenesis and neuroplasticity mechanisms
- Advanced Decision-Making Techniques
- Advanced Sensor and Control Systems
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Meteorological Phenomena and Simulations
Yanbian University
2024
Yunnan University
2023
University of California, San Diego
2013-2018
Pacific Northwest National Laboratory
2005-2016
Harbin University of Science and Technology
2011-2015
Concordia University
2013
Washington State University
2005-2009
Xiaomi (China)
2008
Environmental Molecular Sciences Laboratory
2005
Accurate information about dynamic states is important for efficient control and operation of a power system. This paper compares the performance four Bayesian-based filtering approaches in estimating synchronous machine using phasor measurement unit data. The methods are extended Kalman filter, unscented ensemble particle filter. statistical each algorithm compared Monte Carlo two-area-four-machine test Under framework, robustness against noise process noise, sensitivity to sampling...
Large multidrug resistance plasmids of the A/C incompatibility complex (IncA/C) have been found in a diverse group Gram-negative commensal and pathogenic bacteria. We present three completed sequences from IncA/C that originated Escherichia coli (cattle) Salmonella enterica serovar Newport (human) carry cephamycinase gene blaCMY-2. These large (148 to 166 kbp) share extensive sequence identity synteny. The most divergent plasmid, peH4H, has lost several conjugation-related genes gained...
In this paper, an extended particle filter (PF) is proposed to estimate the dynamic states of a synchronous machine using phasor measurement unit (PMU) data. A PF propagates mean and covariance via Monte Carlo simulation, easy implement, can be directly applied nonlinear system with non-Gaussian noise. The improves robustness basic through iterative sampling inflation dispersion. Using simulations practical noise model uncertainty considerations, PF's performance evaluated compared PF,...
Characterization of the mature protein complement in cells is crucial for a better understanding cellular processes on systems-wide scale. Toward this end, we used single-dimension ultra–high-pressure liquid chromatography mass spectrometry to investigate comprehensive “intact” proteome Gram-negative bacterial pathogen Salmonella Typhimurium. Top-down proteomics analysis revealed 563 unique proteins including 1,665 proteoforms generated by posttranslational modifications (PTMs), representing...
Nonenzymatic glycation of proteins sets the stage for formation advanced end-products and development chronic complications diabetes. In this report, we extended our previous methods on proteomics analysis glycated to comprehensively identify in control diabetic human plasma erythrocytes. Using immunodepletion, enrichment, fractionation strategies, identified 7749 unique peptides, corresponding 3742 proteins. Semiquantitative comparisons showed that levels a number were significantly...
There are several notable challenges inherent for fully characterizing the entirety of human saliva proteome using bottom-up approaches, including polymorphic isoforms, PTMs, unique splice variants, deletions, and truncations. To address these challenges, we have developed a top-down based LC-MS/MS approach, which cataloged 20 major salivary proteins with total 83 proteoforms, containing broad range PTMs. Among proteins, previously reported disease biomarker were identified at intact protein...
Significance The discovery that neurotransmitter identity is regulated by activity in the adult mammalian brain during a stress response raises questions about extent and function of this plasticity. Specific synapses are associated with release particular or transmitters on basis evidence obtained under single set conditions. Transmitter switching endows connectome greater plasticity: Activity-dependent revision signaling provides another dimension flexibility to regulate normal behavior....
Abstract We have developed efficient numerical algorithms for solving 3D steady-state Poisson-Nernst-Planck (PNP) equations with excess chemical potentials described by the classical density functional theory (cDFT). The coupled PNP are discretized a finite difference scheme and solved iteratively using Gummel method relaxation. Nernst-Planck transformed into Laplace through Slotboom transformation. Then, algebraic multigrid is applied to efficiently solve Poisson equation equations. A novel...
Activity-dependent neurotransmitter switching engages genetic programs regulating transmitter synthesis, but the mechanism by which activity is transduced unknown. We suppressed in single neurons embryonic spinal cord to determine whether glutamate-gamma-aminobutyric acid (GABA) cell autonomous. Transmitter respecification did not occur, suggesting that it homeostatically regulated level of surrounding neurons. Graded increase number silenced cultures led graded decrease expressing GABA,...
Corilagin, a polyphenolic tannic acid compound, showed significant anti-inflammatory activity in atherosclerotic mice. The present study aimed to evaluate the effect and mechanism of corilagin atherosclerosis by vivo, vitro molecular docking strategies analysis. An model was established feeding ApoE−/− mice high-fat diet. Murine RAW264.7 macrophages were cultured induced with lipopolysaccharide (LPS). Treatment had marked inhibitory on plaque area lipid accumulation Corilagin decreased...
Accurate information about dynamic states is important for efficient control and operation of a power system. This paper compares the performance four Bayesian-based filtering approaches in estimating synchronous machine using PMU data. The methods are Extended Kalman Filter, Unscented Ensemble Particle Filter. statistical each algorithm compared Monte Carlo two-area-four-machine test Under framework, robustness against measurement noise process noise, sensitivity to sampling interval,...
The periplasm of Gram-negative bacteria is a dynamic and physiologically important subcellular compartment where the constant exposure to potential environmental insults amplifies need for proper protein folding modifications. Top-down proteomics analysis periplasmic fraction at intact level provides unrestricted characterization annotation proteome, including post-translational modifications (PTMs) on these proteins. Here, we used single-dimension ultra-high pressure liquid chromatography...
The power grid evolves towards a new mix of generation and consumption that introduces dynamic stochastic behaviors. These emerging behaviors would invalidate the steady-state assumption in today's state estimation - an essential function for real-time operation. This paper examines this identifies need estimating states. Supporting technologies are presented as well proposed formulation Metrics evaluating methods solving problem proposed, with example results to illustrate use these...
With the growing interest in application of wind energy, doubly fed induction generators (DFIG) play an increasingly essential role power industry. It has been well recognized that modeling and monitoring dynamic behavior DFIGs are important to ensure system reliability. Real-time estimation states a DFIG is possible with high-speed measurements. But how use such measurements have high-quality remains be challenge. Estimating relies on good model DFIG. Building high-fidelity problem tandem...
High mass measurement accuracy is critical for confident protein identification and characterization in proteomics research. Fourier transform ion cyclotron resonance (FTICR) spectrometry a unique technique which can provide unparalleled resolving power. However, the of FTICR−MS be affected by space charge effects. Here, we present novel internal calibrant-free calibration method that corrects charge-induced frequency shifts FTICR fragment spectra called Calibration Optimization on Fragment...
Enrichment of bacterial phosphopeptides is an essential step prior to bottom-up mass spectrometry-based analysis the phosphoproteome, which fundamental understanding role phosphoproteins in cell signaling and regulation protein activity. We developed automated immobilized metal affinity chromatography (IMAC) system enrich strong cation exchange-fractionated from soluble proteome Escherichia coli MG1655 grown on minimal medium. Initial demonstration resulted identification 75 covering 52...
Accurate knowledge of electromechanical states is critical for efficient and reliable control a power system. This paper proposes particle filtering approach to estimate the systems from Phasor Measurement Unit (PMU) data. Without having go through laborious linearization procedure, proposed techniques can complex system, which often non-linear has non-Gaussian noise. The method evaluated using multi-machine system its responses. Sensitivity studies dynamic state estimation performance are...
ABSTRACT Pulsed-field gel electrophoresis (PFGE) and multiple-locus variable-number tandem-repeat analysis (MLVA) are used to assess genetic similarity between bacterial strains. There cases, however, when neither of these methods quantifies variation at a level resolution that is well suited for studying the molecular epidemiology pathogens. To improve estimates based on methods, we propose fusion algorithm combines information obtained from both PFGE MLVA assays epidemiological...