A5100613330- Carbon Dioxide Capture Technologies
- Climate Change Policy and Economics
- Membrane Separation and Gas Transport
- Financial Risk and Volatility Modeling
- CO2 Sequestration and Geologic Interactions
- Atmospheric and Environmental Gas Dynamics
- Environmental Impact and Sustainability
- Adsorption and biosorption for pollutant removal
- Extraction and Separation Processes
- Stochastic processes and financial applications
- Grouting, Rheology, and Soil Mechanics
- Monetary Policy and Economic Impact
- Market Dynamics and Volatility
- Regional Economic and Spatial Analysis
- Energy, Environment, Economic Growth
- E-commerce and Technology Innovations
- Methane Hydrates and Related Phenomena
- Geotechnical Engineering and Underground Structures
- Wastewater Treatment and Nitrogen Removal
- Industrial Gas Emission Control
- Hydraulic Fracturing and Reservoir Analysis
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Educational Reforms and Innovations
- Phase Equilibria and Thermodynamics
Shandong Normal University
2023-2025
Peking University
2023-2025
Anyang Normal University
2025
Research Institute of Petroleum Exploration and Development
2020-2024
The First Affiliated Hospital, Sun Yat-sen University
2024
Hong Kong University of Science and Technology
2018-2024
University of Hong Kong
2018-2024
Sun Yat-sen University
2015-2024
Singapore Management University
2021-2024
Ministry of Ecology and Environment
2024
The success of recommender systems often depends on their ability to understand and make use the context recommendation request. Significant research has focused how time, location, interfaces, a plethora other contextual features affect recommendations. However, in using deep neural networks for systems, researchers ignore these contexts or incorporate them as ordinary model.
Levulinic acid (LA) is transformed into pyrrolidinones via iridium-catalysed reductive amination using formic as the hydrogen source under aqueous conditions. The catalytic system most active and performs mildest conditions ever reported for of LA.
We study how peers impact worker productivity growth among salespeople in the cosmetics department of a store. first exploit shift assignment policy that creates exogenous variation salespersons' each week to identify and quantify sources learning. find peer-based learning is more important than learning-by-doing for individuals, there no evidence forgetting. Working with high-ability substantially increases long-term new salespeople. then examine possible mechanisms behind by exploiting...
In this paper we use a time-evolving graph which consists of sequence snapshots over time to model many real-world networks. We study the path classification problem in graph, has applications scenarios, for example, predicting failure telecommunication network and congestion traffic near future. order capture temporal dependency structure dynamics, design novel deep neural named Long Short-Term Memory R-GCN (LRGCN). LRGCN considers between time-adjacent as special relation with memory, uses...
Abstract Supported polyethyleneimine (PEI) adsorbent is one of the most promising commercial direct air capture (DAC) adsorbents with a long research history since 2002. Although great efforts have been input, there are still limited improvements for this material in its CO 2 capacity and adsorption kinetics under ultradilute conditions. PEI also suffers significantly reduced capacities when working at sub‐ambient temperatures. This study reports that mixing diethanolamine (DEA) into...
Abstract Predicting Earth Orientation Parameters (EOP) is crucial for precise positioning and navigation both on the Earth’s surface in space. In recent years, many approaches have been developed to forecast EOP, incorporating observed EOP as well information effective angular momentum (EAM) derived from numerical models of atmosphere, oceans, land-surface dynamics. The Second Prediction Comparison Campaign (2nd PCC) aimed comprehensively evaluate forecasts international participants...
Direct air capture (DAC) is receiving momentous attention from academia and industry as a promising technology to mitigate climate change. To facilitate market-based DAC research, this review compiles information on over 50 startups their potential partners, revealing diverse prospective market. The discussions focus the technologies embraced by startups, including solid alkali carbonates, amine-functionalized sorbents, physisorbents, ion-exchange resins (IERs), electrochemical approaches....
The impurities present in carbon dioxide (CO2) streams for Carbon Capture and Storage (CCS) schemes are extremely important CO2 pipeline ship transportation affecting, instance, the range of operation, safety considerations, fracture, cracking, corrosion control, dispersion event a release, fluid density, operating pressure temperature quantity that can be transported. levels potential captured from capture facilities will differ between sources also technologies installed at emission...