A5100328876- Innovative Microfluidic and Catalytic Techniques Innovation
- Microfluidic and Capillary Electrophoresis Applications
- Membrane Separation Technologies
- Microfluidic and Bio-sensing Technologies
- Heat Transfer and Optimization
- Adsorption and biosorption for pollutant removal
- High-Temperature Coating Behaviors
- Nanoplatforms for cancer theranostics
- Energy Load and Power Forecasting
- Electrowetting and Microfluidic Technologies
- Nanoparticle-Based Drug Delivery
- Quantum Computing Algorithms and Architecture
- Fluid Dynamics and Heat Transfer
- Advanced Manufacturing and Logistics Optimization
- Multilevel Inverters and Converters
- Advanced machining processes and optimization
- Advanced DC-DC Converters
- Fluid Dynamics Simulations and Interactions
- Lattice Boltzmann Simulation Studies
- Advanced Algorithms and Applications
- Heat Transfer Mechanisms
- Metallurgical Processes and Thermodynamics
- Solar Radiation and Photovoltaics
- Quantum Information and Cryptography
- Laser Material Processing Techniques
Xi'an Jiaotong University
2015-2024
Guizhou Normal University
2024
Chongqing Jiaotong University
2024
South China Agricultural University
2023-2024
Hebei University of Technology
2024
Shenyang Jianzhu University
2024
Yanshan University
2024
United Imaging Healthcare (China)
2024
Aalborg University
2024
Wuhan Ship Development & Design Institute
2024
The metabolic reprogramming of glioblastoma (GBM) poses a tremendous obstacle to effective immunotherapy due its impact on the immunosuppressive microenvironment. In this work, hydrogen-bonded organic framework (HOF) specifically designed for GBM is developed, taking advantage relatively isolated cholesterol metabolism microenvironment in central nervous system (CNS). HOF-based biotuner regulates extra/intracellular metabolism, effectively blocking programmed cell death protein 1/programmed...
Training activation quantized neural networks involves minimizing a piecewise constant function whose gradient vanishes almost everywhere, which is undesirable for the standard back-propagation or chain rule. An empirical way around this issue to use straight-through estimator (STE) (Bengio et al., 2013) in backward pass only, so that "gradient" through modified rule becomes non-trivial. Since unusual certainly not of loss function, following question arises: why searching its negative...
Abstract A novel strategy called “two‐stage dual‐synergistic tumor therapy (TDTT),” which combines photothermal with infinite coordination polymers (ICPs) chemotherapy at the first stage in short term and two drugs of ICPs synergistic (coordinated dual chemotherapy) second long term, is proposed. This achieved by preparing IR780‐loaded hyaluronic acid (HA) encapsulated gossypol–Fe(III)–epigallocatechin gallate (EGCG) ICP nanoparticles (HA@IRGFE NPs), have IR780 inclusions, a natural...
Efficient and reliable manipulation of biological particles is crucial in medical diagnosis chemical synthesis. Inertial microfluidic devices utilizing passive hydrodynamic forces the secondary flow have drawn considerable attention for their high throughputs, low costs, harmless particle manipulation. However, as dominant mechanism, inertial lift force difficult to quantitatively analyze because uncertainties its magnitude direction. The equilibrium position varies along migration process,...
Due to the inherent non-stationary and nonlinear characteristics of original streamflow complicated relationship between multi-scale predictors streamflow, accurate reliable monthly forecasting is quite difficult. In this paper, a multi-scale-variables-driven (MVDSF) framework was proposed improve runoff accuracy provide more information for decision-making. This realized by integrating random forest (RF) Gaussian process regression (GPR) with variables (hydrometeorological climate...
Abstract An improved moving‐particle semi‐implicit (MPS) method was developed for numerical simulations of convective heat transfer problems. The MPS method, which is based on particles and their interactions, a fully Lagrangian particle incompressible flows. A new Laplacian model treating boundary conditions were proposed to solve difficulties resulting from the original method. Results several tests show validity with application present Rayleigh–Benard convection phenomena demonstrated...