A5034392582- Wastewater Treatment and Nitrogen Removal
- Microbial Community Ecology and Physiology
- Microbial Fuel Cells and Bioremediation
- Genomics and Phylogenetic Studies
- Water Treatment and Disinfection
- Plant Pathogens and Fungal Diseases
- Plant Disease Resistance and Genetics
- Image and Signal Denoising Methods
- Environmental remediation with nanomaterials
- Image Enhancement Techniques
- Electrochemical sensors and biosensors
- Ammonia Synthesis and Nitrogen Reduction
- Tracheal and airway disorders
- Energy and Environmental Systems
- Microbial bioremediation and biosurfactants
- Advanced oxidation water treatment
- Sparse and Compressive Sensing Techniques
- IoT-based Smart Home Systems
- Photoacoustic and Ultrasonic Imaging
- Electrochemical Analysis and Applications
- Advanced Neural Network Applications
- Environmental DNA in Biodiversity Studies
- Radioactive element chemistry and processing
- 3D Shape Modeling and Analysis
- Mine drainage and remediation techniques
Guilin University of Electronic Technology
2024-2025
Sun Yat-sen University
2005-2024
Nanjing University
2024
Bridge University
2024
State Key Laboratory of Pollution Control and Resource Reuse
2024
Guangdong University of Technology
2021-2022
Ministry of Ecology and Environment
2022
Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2021-2022
Beijing Institute of Technology
2012-2022
Biorefractory humic substances (HS) that are ubiquitously present in nitrogen-rich wastewater streams, such as landfill leachate and livestock waste after anaerobic digestion, can potentially impact nitritation–anammox processes. In this study, multiple sequencing methods (e.g., 16S rRNA sequencing, clone library analysis, metagenome sequencing) were employed to reveal the response of nitrosifying microbiota HS at various concentrations (0–50 mg/L). Long-term reactor operation revealed...
The bloom of heterotrophic bacteria resulting from the presence organic matter in wastewater streams can potentially affect growth and activity autotrophic ammonia-oxidizing (AOB), which are important for operation nitritation reactors. present study evaluated interactions between acetate-induced heterotrophs nitrosifying community using network analysis culture-dependence method. Bacterial succession as well shifts structure occurred a result heterotrophs. enhanced reactor productivity...
A Gram-staining-positive bacterium, designated strain XN13 T , was isolated from a soil sample collected ALaShan National Geological Park in Inner Mongolia Autonomous Region, China and subjected to taxonomic study using polyphasic approach. Strain found have range of chemical morphological properties consistent with its classification the genus Planomicrobium . Phylogenetic analyses based on 16S rRNA gene sequences revealed that related members The closest phylogenetic relatives were...
A bacterial isolate, designated strain D5(T), was isolated from a soil sample collected the Inner Mongolia Autonomous Region, China, and subjected to taxonomic investigation using polyphasic approach. Strain D5(T) aerobic, Gram-stain-negative, rod-shaped motile. fell within evolutionary radius of genus Massilia in phylogenetic tree based on 16S rRNA gene sequences most closely related plicata 76(T) with 97.3% sequence similarity. The predominant quinone Q-8. major polar lipids were...
Ammonia in drinking water can lead to formation of disinfection byproducts and bacteria regrowth distribution systems. Biological ammonia removal is an economical environment-friendly way controlling ammonia.
<title>Abstract</title> Background The anammox process plays a key role in nitrogen removal environmentally friendly wastewater treatment plants. However, our comprehensive understanding of the is constrained by limited taxonomic assignment and functional characterization microbiota, primarily due to scarcity high-quality genomes for most microorganisms. Results Here, we report first global genome catalog microbiotas their enormous diversity based on 236 metagenomes. We recovered 7206...
In this paper, we present a novel approach to the problem of curve alignment, which measures and matches similarity two curves. Our method extracts features with high priorities given salient general features, therefore leads satisfied result that meets human being's perceptions. We investigate bimorphism in level sub-segment correspondences ensure symmetric mapping. A solution closed alignment is also given. Finally, coarse-to-fine aligning algorithm introduced match curves under different...