A5100442533- Hydrology and Watershed Management Studies
- Wastewater Treatment and Nitrogen Removal
- Phosphorus and nutrient management
- Water resources management and optimization
- Flood Risk Assessment and Management
- Water Treatment and Disinfection
- Plant Water Relations and Carbon Dynamics
- Minerals Flotation and Separation Techniques
- Microbial Fuel Cells and Bioremediation
- Iron oxide chemistry and applications
- Hydrological Forecasting Using AI
- Adsorption and biosorption for pollutant removal
- Remote Sensing and Land Use
- Metal Extraction and Bioleaching
- Soil and Water Nutrient Dynamics
- Karst Systems and Hydrogeology
- Cardiac Ischemia and Reperfusion
- Water Resources and Sustainability
- Water Systems and Optimization
- Water Resources and Management
- Constructed Wetlands for Wastewater Treatment
- Chromium effects and bioremediation
- Fecal contamination and water quality
- Water Quality Monitoring and Analysis
- Genomics and Phylogenetic Studies
Guilin University of Technology
2025
Beijing Jiaotong University
2024
Zhongshan Hospital
2023-2024
Fudan University
2023-2024
Sun Yat-sen University
2023-2024
South China University of Technology
2021-2024
Kunming University of Science and Technology
2022-2024
Xi'an University of Technology
2022-2024
Shanghai Institute of Hematology
2023-2024
The First Affiliated Hospital, Sun Yat-sen University
2023-2024
Abstract Candidatus Accumulibacter, a key genus of polyphosphate-accumulating organisms, plays roles in lab- and full-scale enhanced biological phosphorus removal (EBPR) systems. A total 10 high-quality Ca. Accumulibacter genomes were recovered from EBPR systems operated at high temperatures, providing significantly updated phylogenetic genomic insights into the lineage. Among these genomes, clade IIF members SCELSE-3, SCELSE-4, SCELSE-6 represent to-date known encoding complete...
Accumulibacter, a prominent polyphosphate-accumulating organism (PAO) in wastewater treatment, plays crucial role enhanced biological phosphorus removal (EBPR). The genetic underpinnings of its polyphosphate accumulation capabilities, however, remain largely unknown. Here, we conducted comprehensive genomic analysis
This paper reports on the engineering properties of various mixtures GMZ bentonite and sand, as regards their effectiveness buffer/backfilling material. The sand ratio in test specimens was 0, 20, 30, 40 50%. Compaction tests were conducted to determine optimum water content maximum dry density bentonite-sand mixtures. A series hydraulic mechanical assess Atterberg limits, soil characteristic curve, conductivity, shear strength, swelling pressure strain conductivities mixtures, that had...
Climatic variability and the quantification of climate change impacts on hydrological parameters are persistently uncertain. Remote sensing aids valuable information to streamflow estimations parameter projections. However, few studies have been implemented using remote CMIP6 data embedded with modeling. This research studied how changing influences hydro-climatic based earth system models that participated in sixth phase Coupled Model Intercomparison Project (CMIP6). GRACE...
Urban lake degradation caused by intensive urbanization necessitates systematic solutions, with water connectivity being a crucial ecological restoration strategy. This study evaluates the two-year effects (2020–2022) of interventions on seven lakes in Yangshuo, Guilin, classified connectivity: multi-channel (Mc), single-channel (Sc), and non-connected (Nc). Regular monitoring physicochemical parameters microbial communities revealed significant patterns: connected exhibited superior quality...
Hekou karst basin, southwestern China. The duality and complexity of hydrological behavior systems pose challenges in precipitation-streamflow modelling, reliable models with high temporal resolution are warranted for predicting floods humid flood-prone karst-dominated basins. This study proposes a grid-based distributed Xin'anjiang model (DK-XAJ), the structure each grid was developed using conceptual model. Water exchange among spatial heterogeneities land use types karstification were...
Abstract Microbes are involved in a wide range of biological processes and closely associated with disease. Inferring potential disease‐associated microbes as the biomarkers or drug targets may help prevent, diagnose treat complex human diseases. However, experiments time‐consuming expensive. In this study, we introduced new method called iPALM‐GLMF, which modelled microbe–disease association prediction problem non‐negative matrix factorization graph dual regularization terms norm terms. The...