A5043179112- Catalysis and Hydrodesulfurization Studies
- Catalysis for Biomass Conversion
- Underground infrastructure and sustainability
- Remote Sensing and Land Use
- Infrastructure Resilience and Vulnerability Analysis
- Lignin and Wood Chemistry
- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
- Remote Sensing in Agriculture
- Surface Modification and Superhydrophobicity
- Biofuel production and bioconversion
- Remote-Sensing Image Classification
- Evacuation and Crowd Dynamics
- Flame retardant materials and properties
- Pickering emulsions and particle stabilization
- Climate variability and models
Shenyang University of Technology
2023
Southwest Jiaotong University
2023
Yellow River Institute of Hydraulic Research
2022
Here, we report a Ru/TS-1 catalyst for selective hydrogenolysis of guaiacol to benzene in the aqueous phase at conditions 240 °C and 0.2 MPa H2, achieving yield 86% with rate 103.1 mmol g−1 h−1. It was found that Silicalite-1 (MFI type) suitable pore sizes supported Ru nanoparticles (NPs) favored guaiacol, whereas de-aluminated Ru/HBEA, Ru/HY Ru/MWW (without acidic sites) accelerated parallel reactions hydrogenation aromatics. In addition, NPs located orifice proved be more...
Oil spills are one of the most dangerous sources that cause serious environmental pollution and fire explosion. In this work, multifunctional separator silica@polydivinylbenzene/poly 2,6-dimethyl-1, 4-phenyl ether (silica@PDVB/PPE) Janus particles were fabricated via seed emulsion polymerization, causing phase segregation as well selective modification. The epoxy modified silica is partially covalently bonded to fabric substrate surface by simple spraying achieve a strong composite coating....
The resilience of an urban rail transit (URT) network when faced with disruptions is affected by the locations stations equipped turn-back (TB) tracks. However, limited studies have enhanced a URT setting new TB present work addresses this gap proposing and solving scenario model for improving operation under normal conditions considering uncertain disruptions. A solution algorithm combined non-dominated sorting genetic algorithm-II proposed to solve model. Numerical experiments conducted on...
Due to the inconsistent spatiotemporal spectral scales, a remote sensing dataset over large-scale area and long-term time series will have large variations statistical distribution features, which lead performance drop of deep learning model that is only trained on source domain. For building an extraction task, methods perform weak generalization from domain other To solve problem, we propose Capsule–Encoder–Decoder model. We use vector named capsule store characteristics its parts. In our...