- Hydrocarbon exploration and reservoir analysis
- Advanced Photocatalysis Techniques
- Electrochemical sensors and biosensors
- Gas Sensing Nanomaterials and Sensors
- Membrane Separation Technologies
- Electrochemical Analysis and Applications
- Geological Studies and Exploration
- Petroleum Processing and Analysis
- Enhanced Oil Recovery Techniques
- Conducting polymers and applications
- Analytical Chemistry and Sensors
- Geological and Geophysical Studies
- Methane Hydrates and Related Phenomena
- Membrane-based Ion Separation Techniques
- Hydraulic Fracturing and Reservoir Analysis
- Luminescence Properties of Advanced Materials
- Transition Metal Oxide Nanomaterials
- Advanced Nanomaterials in Catalysis
- Geological and Geochemical Analysis
- Membrane Separation and Gas Transport
- TiO2 Photocatalysis and Solar Cells
- Acute Kidney Injury Research
- NMR spectroscopy and applications
- Structural Response to Dynamic Loads
- Ga2O3 and related materials
University of Illinois Urbana-Champaign
2024-2025
Xiamen University
2025
Wuhan University of Technology
2024
China University of Petroleum, Beijing
2016-2024
Qingdao University
2022-2024
Affiliated Hospital of Qingdao University
2022-2024
Army Medical University
2022-2024
Southwest Hospital
2024
Central South University
2024
National Sun Yat-sen University
2024
Abstract Understanding the pore networks of unconventional tight reservoirs such as sandstones and shales is crucial for extracting oil/gas from reservoirs. Mercury injection capillary pressure (MICP) N 2 gas adsorption (N GA) are performed to evaluate structure Chang-7 sandstone. Thin section observation, scanning electron microscope, grain size analysis, mineral composition porosity measurement applied investigate geological control factors structure. Grain positively correlated with...
Schematic representation for the sensing of glucose at RGO–C60/GOx composite.
Simultaneous and selective electrochemical determination of dihydroxybenzene isomers at RGO/Cu-NPs composite modified GCE.
Renal ischemia reperfusion injury (IRI) is a leading and common cause of acute kidney (AKI), inflammation critical factor in ischemic AKI progression. Calycosin (CAL), major active component Radix astragali, has been reported to have anti-inflammatory effect multiple organs. However, whether CAL can alleviate renal IRI its mechanism remain uncertain. In the present study, model established by bilateral pedicles occlusion for 35 min male C57BL/6 mice, on measured serum creatinine...
The layout and configuration of urban infrastructure are essential for the orderly operation healthy development cities. With promotion popularization new energy vehicles, modeling prediction charging pile usage allocation have garnered significant attention from governments enterprises. Short-term demand forecasting piles is crucial their efficient operation. However, existing models lack a discussion on appropriate time window, resulting in limitations station-level predictions....
Abstract Background Research into the acute kidney disease (AKD) after ischemic stroke (AIS) is rare, and how clinical features influence its prognosis remain unknown. We aim to employ interpretable machine learning (ML) models study AIS clarify decision-making process in identifying risk of mortality. Methods conducted a retrospective cohort involving patients from January 2020 June 2021. Patient data were randomly divided training test sets. Eight ML algorithms employed construct...
Quadrotors that can operate predictably in the presence of imperfect model knowledge and external disturbances are crucial safety-critical applications. We present <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\boldsymbol}{\mathcal{L}}_1$</tex-math> </inline-formula> Quad, a control architecture ensures uniformly bounded transient response quadrotor's uncertain dynamics on special Euclidean group SE(3)....