A5101526987- Tuberculosis Research and Epidemiology
- Mycobacterium research and diagnosis
- Fault Detection and Control Systems
- Stability and Control of Uncertain Systems
- Advanced Control Systems Design
- Control Systems and Identification
- Advanced Control Systems Optimization
- Spectroscopy and Chemometric Analyses
- Immunodeficiency and Autoimmune Disorders
- Advanced Multi-Objective Optimization Algorithms
- Advanced Statistical Process Monitoring
- Mineral Processing and Grinding
- Metaheuristic Optimization Algorithms Research
- Extremum Seeking Control Systems
- Distributed Control Multi-Agent Systems
- Gear and Bearing Dynamics Analysis
- Industrial Technology and Control Systems
- Advanced Differential Equations and Dynamical Systems
- Biochemical and Molecular Research
- Advanced Algorithms and Applications
- RNA and protein synthesis mechanisms
- Multi-Criteria Decision Making
- Neural Networks Stability and Synchronization
- Advanced Decision-Making Techniques
- Anomaly Detection Techniques and Applications
Northeastern University
2015-2025
State Key Laboratory of Genetic Engineering
2005-2024
Shenyang Aerospace University
2023-2024
Fudan University
2010-2024
Wuhan University of Technology
2017-2024
Guangzhou Panyu Polytechnic
2024
State Key Laboratory of Synthetical Automation for Process Industries
2014-2024
Chaohu University
2022-2024
Huashan Hospital
2023-2024
Tourism College of Zhejiang
2019-2024
The target of a first-line tuberculosis drug that acts against persister bacteria is identified.
Quantum key distribution (QKD) provides information-theoretic security based on the laws of quantum mechanics.The desire to reduce costs and increase robustness in realworld applications has motivated study coexistence between QKD intense classical data traffic a single fiber.Previous works metropolitan areas have used wavelength-division multiplexing, however, backbone fiber networks remains great experimental challenge, as Tbps up 20 dBm optical power is transferred, much more noise...
Tuberculosis, caused by Mycobacterium tuberculosis, remains a leading infectious disease despite the availability of chemotherapy and BCG vaccine. The commonly used avirulent M. tuberculosis strain H37Ra was derived from virulent H37 in 1935 but basis virulence attenuation has remained obscure numerous studies. We determined complete genomic sequence ATCC25177 compared that with its counterpart H37Rv clinical isolate CDC1551. genome is highly similar to respect gene content order 8,445 bp...
The importance of some putative efflux pumps in conferring drug resistance on certain strain Mycobacterium tuberculosis was determined by using multidrug-resistant (MDR) 1499 bearing defined mutations rpoB and katG. clinical isolate tested for sensitivity expression level five pump genes real-time RT-PCR. In the presence rifampicin or isoniazid, this showed increased transcription Rv1258c Rv1410c. Rv1819c overexpressed only upon isoniazid exposure (p < 0.05). Overexpression is associated...
Background Humans infected with Mycobacterium tuberculosis (MTB) can delete the pathogen or otherwise become latent infection active disease. However, factors influencing clearance and disease progression from are poorly understood. This study attempted to use a genome-wide transcriptome approach identify immune associated MTB novel biomarkers that distinguish infection. Methodology/Principal Findings Using microarray analysis, we comprehensively determined transcriptional difference in...
Pyrazinamide (PZA) is a first-line drug for tuberculosis (TB) treatment and responsible shortening the duration of TB therapy. The mode action PZA remains elusive. RpsA, ribosomal protein S1 Mycobacterium (Mtb), was recently identified as target based on its binding activity to pyrazinoic acid (POA), active form PZA. POA RpsA led inhibition trans-translation. However, nature RpsA-POA interaction unknown. Key questions include why exhibits an exquisite specificity Mtb how mutations confer...
With the continuous development of economy and society, decision-making problems scenarios have become more complex. The q-rung orthopair fuzzy set is getting attention from researchers, which general flexible than Pythagorean intuitionistic under complex vague environment. In this study, concept linguistic (q-ROFLS) proposed a new method developed to handle MAGDM problem. Firstly, conception, operation laws, comparison methods, distance measure methods q-ROFLS are proposed. Secondly, q-ROFL...
The discovery of promising cytokines and clarification their immunological mechanisms in controlling the intracellular fate Mycobacterium tuberculosis (Mtb) are necessary to identify effective diagnostic biomarkers therapeutic targets. To escape immune clearance, Mtb can manipulate inhibit normal host process phagosome maturation. Phagosome maturation arrest by involves multiple effectors much remains unknown about this important aspect pathogenesis. In study, we found that interleukin 16...
Antarctic krill oil (AKO) is susceptible to oxidation due the high unsaturation degree of bioactive substances. Herein, a lipidomics method for in situ monitoring dynamic characteristics AKO was explored based on electric soldering iron ion source (ESII) coupling with rapid evaporative ionization mass spectrometry (REIMS). The profiles at different storage periods were successfully acquired. On basis principal component analysis and orthogonal partial least-squares analysis, obtained REIMS...
Obtaining the Puiseux series of multiple imaginary (characteristic) roots (MIRs) is a fundamental issue in stability analysis time-delay systems. However, to best authors' knowledge, this has not been fully investigated up date. This note focuses on expansion MIRs linear time-invariant systems including commensurate delays. For an MIR any multiplicity, we propose algorithm for defining structure series, as well explicit computation corresponding coefficients. By using proposed method, can...
Improving the accuracy and efficiency of bridge structure damage detection is one main challenges in engineering practice. This paper aims to address this issue by monitoring continuous deflection based on fiber optic gyroscope applying deep-learning algorithm perform structural detection. With a scale-down model, three types scenarios an intact benchmark were simulated. A supervised learning model deep convolutional neural networks was proposed. After training process under ten-fold...
Abstract As the "core" of fertilizer machinery, apparatus has a significant impact on effect fertilization operation. At present, straight-grooves type external groove wheel is widely used, which problem that flow fluctuates periodically and not conducive to precision fertilization. Therefore kind spiral proposed in paper, designed experimented optimized by using Design-Expert Software 10 self-made experiment bench. Taking amount variation coefficient as index, interaction effects radius,...