A5009161590- Advanced Photocatalysis Techniques
- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Layered Double Hydroxides Synthesis and Applications
- Graphene research and applications
- Covalent Organic Framework Applications
- Optimal Experimental Design Methods
- Adsorption and biosorption for pollutant removal
- Graphene and Nanomaterials Applications
- RNA modifications and cancer
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced battery technologies research
- Model-Driven Software Engineering Techniques
- Wnt/β-catenin signaling in development and cancer
- Pancreatic and Hepatic Oncology Research
- Phagocytosis and Immune Regulation
- Magnesium Oxide Properties and Applications
- Boron and Carbon Nanomaterials Research
- Lipid metabolism and biosynthesis
- Hepatitis B Virus Studies
- Simulation Techniques and Applications
- Osteoarthritis Treatment and Mechanisms
- Proteoglycans and glycosaminoglycans research
- Hippo pathway signaling and YAP/TAZ
- Membrane Separation Technologies
Huazhong University of Science and Technology
2022-2025
Tongji Hospital
2022-2025
Massachusetts General Hospital
2025
Harvard University
2025
China University of Petroleum, Beijing
2022-2024
Northeastern University
2022-2024
State Key Laboratory of Synthetical Automation for Process Industries
2024
Chinese University of Hong Kong
2024
Jiangsu University
2020-2022
Sun Yat-sen University
2021
Abstract Hepatocellular carcinoma (HCC) is an aggressive malignancy without effective therapeutic approaches. Here, we evaluate the tumor-intrinsic mechanisms that attenuate efficacy of immune checkpoint inhibitor (ICI) observed in patients with advanced HCC who progress on first-line tyrosine kinase (TKI) therapy. Upregulation AXL sorafenib- and lenvatinib-resistant HCCs correlated poor response towards TKI ICI treatments. upregulation protects sorafenib-resistant cells from oxidative...
Expensive constrained multi-objective optimization problems (ECMOPs) present a significant challenge to surrogate-assisted evolutionary algorithms (SAEAs) in effectively balancing of the objectives and satisfaction constraints with complex landscapes, leading low feasibility, poor convergence insufficient diversity. To address these issues, we design novel algorithm for automatic selection two acquisition functions, thereby taking advantage benefits both using ignoring constraints....
Gaussian processes (GPs) are widely employed in surrogate-assisted evolutionary algorithms (SAEAs) because they can estimate the level of uncertainty their predictions. However, computational complexity GPs grows cubically with number training samples, time required for constructing a GP becomes excessively long. Additionally, SAEAs, is updated using new data sampled each round, which significantly impairs its efficiency addressing medium-scale optimization problems. This issue exacerbated...
Surrogate-assisted evolutionary algorithms (SAEAs) rely on the infill criterion to select candidate solutions for expensive evaluations. However, in context of constrained multi-objective optimization problems (ECMOPs) with complex feasible regions, guiding algorithm towards Pareto optimal front and achieving a balance between feasibility, convergence, diversity, exploration, exploitation using single pose significant challenges. We propose an ensemble criterion-based multi-stage SAEA...
Contamination of antibiotics in an aqueous environment has attracted wide attention. Developing high-efficiency adsorbents for removal is urgent. In this work, two kinds ternary transition metal chalcogenides—Cu2MoS4 and FeMoS4 with superior adsorption performance were prepared by a facile hydrothermal synthesis method. The microstructure physicochemical properties the analyzed X-ray diffraction (XRD), photoelectron spectroscope (XPS), transmission electron microscopy (TEM), scanning (SEM)....
The output of concrete mixing plant sludge (CMPS) is large and increases year by year, which needs to be disposed urgently. effect CMPS powder replacing silica fume (SF) on the properties ultra-high performance (UHPC) was investigated through testing fluidity, compressive strengths, shrinkage, pore structure, micromorphology nanoscale properties. obtained results indicated that use substituting SF improved fluidity UHPC; 20% increased strengths UHPC, but with further increase powder, UHPC...
The design and synthesis of derived composite materials based on calcined layered double hydroxides (CLDH) other are essential for tackling antibiotic contamination in aquatic environments through adsorption methods. Herein, the novel CuZn-CLDH modified with non-metallic graphene-like analog boron nitride (BN) composites (BN@CuZn-CLDH) were fabricated via situ co-precipitation hydrothermal-calcination method, then characterized by XRD, FESEM, FT-IR, Raman XPS detail. assembled...
The design and synthesis of derived composite materials based on calcined layered double hydroxides (CLDH) other are essential for tackling antibiotic contamination in aquatic environments through adsorption methods. Herein, the novel CuZn-CLDH modified with non-metallic graphene-like analog boron nitride (BN) composites (BN@CuZn-CLDH) were fabricated via situ co-precipitation hydrothermal-calcination method, then characterized by XRD, FESEM, FT-IR, Raman XPS detail. assembled...
It is well known that the surrogate-ssisted evolutionary algorithm has unique advantages in solving computationally intensive multi-objective black-box optimization problems (EMOPs). SAEAs approximate objective functions with a surrogate model to reduce number of function evaluations during optimization. However, many are time-consuming for evaluating objectives and have inexpensive constraint functions. Therefore, few evaluations, it not easy find feasible solutions good convergence. We...