A5031257969- earthquake and tectonic studies
- Gear and Bearing Dynamics Analysis
- Machine Fault Diagnosis Techniques
- Maritime Transport Emissions and Efficiency
- Metallurgy and Material Forming
- Geotechnical and Geomechanical Engineering
- Fault Detection and Control Systems
- Advanced Algorithms and Applications
- Metal Forming Simulation Techniques
- Advanced Sensor and Control Systems
- Advanced Measurement and Detection Methods
- Hydraulic Fracturing and Reservoir Analysis
- Engineering Diagnostics and Reliability
- Vehicle emissions and performance
- Image and Video Stabilization
- Tribology and Lubrication Engineering
- Optical Systems and Laser Technology
- Aluminum Alloy Microstructure Properties
- Aluminum Alloys Composites Properties
- Geoscience and Mining Technology
- Rock Mechanics and Modeling
- Solidification and crystal growth phenomena
- Maritime Ports and Logistics
- Adhesion, Friction, and Surface Interactions
- Advanced Computational Techniques and Applications
The University of Queensland
2006-2025
Huaqiao University
2021-2024
Dalian Maritime University
2011-2023
Northwestern Polytechnical University
2023
People’s Hospital of Rizhao
2022
Shanghai Jiao Tong University
2022
Inner Mongolia University of Science and Technology
2021
Hebei University of Technology
2007-2021
Yonker Environmental Protection (China)
2021
Shijiazhuang Tiedao University
2008-2020
Fuel cells as clean power sources are very attractive for the maritime sector, which is committed to sustainability and reducing greenhouse gas atmospheric pollutant emissions from ships. This paper presents a technological review on fuel cell systems applications past two decades. The available fuels including hydrogen, ammonia, renewable methane methanol under context of sustainable transportation their pre-processing technologies analyzed. Proton exchange membrane, molten carbonate solid...
Abstract Pharmaceutical and agrochemical discovery programs are under considerable pressure to meet increasing global demand thus require constant innovation. Classical hydrocarbon scaffolds have long assisted in bringing new molecules the market place, but an obvious omission is that of Platonic solid cubane. Eaton, however, suggested this molecule has potential act as a benzene bioisostere. Herein, we report validation Eaton's hypothesis with cubane derivatives five used clinically or...
The financial market has been at the forefront of machine learning applications since 1980s, yet accurate stock price prediction remains a significant challenge due to complexity and inherent volatility. This paper presents comprehensive approach through integration Linear Regression (LR), Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA) methods. We evaluate these approaches using historical data from five major stocks across different sectors, demonstrating...
Trials and tribulations of the cubane paradigm in biomolecule discovery highlight synthetic limitations, culminating a continuing guide for practitioners, which includes cyclooctatetraene.
Sail-assisted technology can reduce greenhouse-gas emissions by saving the energy consumption of ships with wind utilization. The distribution characteristics marine resources are critical to energy-saving effect sail-assisted ships. However, due lack effective evaluation methods for improving utilization rate energy, a high potential still exists. A novel method based on resource analysis typical ship routes is proposed in this paper. First, three-degree-of-freedom motion model considering...
Abstract Pharmaceutical and agrochemical discovery programs are under considerable pressure to meet increasing global demand thus require constant innovation. Classical hydrocarbon scaffolds have long assisted in bringing new molecules the market place, but an obvious omission is that of Platonic solid cubane. Eaton, however, suggested this molecule has potential act as a benzene bioisostere. Herein, we report validation Eaton's hypothesis with cubane derivatives five used clinically or...
Charged functional groups can control gas-phase radical reactions in a predictable and tuneable manner by creating an internal oriented electric field that modulates the rate-limiting transition state.
The financial market has been at the forefront of machine learning applications since 1980s, yet accurate stock price prediction remains a significant challenge due to complexity and inherent volatility. This paper presents comprehensive approach through integration Linear Regression (LR), Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA) methods. We evaluate these approaches using historical data from five major stocks across different sectors, demonstrating...
Time series forecasting (TSF) is an essential branch of machine learning with various applications. Most methods for TSF focus on constructing different networks to extract better information and improve performance. However, practical application data contain internal mechanisms, resulting in a mixture multiple patterns. That is, the model's ability fit patterns generates errors. In order solve this problem, we propose end-to-end framework, namely probability pattern-guided time (PPGF)....
Abstract Cubane was recently validated as a phenyl ring (bio)isostere, but highly strained caged carbocyclic systems lack π character, which is often critical for mediating key biological interactions. This electronic property restriction associated with cubane has been addressed herein cyclooctatetraene (COT), using known pharmaceutical and agrochemical compounds templates. COT either outperformed or matched in multiple cases suggesting that versatile complementarity exists between the two...
The effect of salinity on the anaerobic ammonium oxidation (ANAMMOX) process in a UASB reactor was investigated by analysing ammonium, nitrite, nitrate and TN concentrations, removal efficiency. Extracellular polymeric substances (EPSs) specific ANAMMOX activity (SAA) were evaluated. Results showed effluent deteriorated after increased from 8 to 13 g/L 18 g/L, efficiency decreased 80% 30% 50%, respectively. However, performance recovered 40 days when influent concentrations 200 mg/L levels...
Purpose The purpose of this study is to investigate the mechanism shared leadership on team members’ innovative behavior. Design/methodology/approach Paired questionnaires were collected from 89 scientific research teams in Beijing-Tianjin-Hebei region China at two-time points with a time lag 4 months. Then multilevel structural equation model method was applied analyze multiple mediating effects. Findings This finds that: form universities; has positive impact behavior; there are mediations...
In this paper, the spherical particles growth during lithium electrodeposition was investigated by directly solving governing equations based on Landau transformation method. The basic kinetic characteristics of a particle studied. Predicted results show that dynamic oscillation velocity occurs growth. It found from numerical simulations applied electrical potential difference, electrolyte concentration, and diffusion coefficient are 3 main factors influencing existence state...
A three-dimensional finite element method is proposed and used to deal with large-scale nonlinear contact friction problems in deformable rocks. Together the use of node-to-point strategy, corresponding algorithm presented simulate behaviour between rock blocks. In order ensure correctness accuracy resulting numerical solutions, formulation for a problem verified using benchmark problem, which analytical solution available. As an application example, investigate plate subduction fault model,...
The scope and limitations of Eaton's rhodium(I)-catalyzed valence isomerization cubane to cyclooctatetraene (COT) were investigated in the context functional group tolerability, multiple substitution modes ability cubane-alcohols undergo one-pot tandem Ley-Griffith Wittig reactions absence a transition metal catalyst.