- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Remote Sensing in Agriculture
- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Remote Sensing and LiDAR Applications
- Fire effects on ecosystems
- Fire Detection and Safety Systems
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Soil Geostatistics and Mapping
- Cephalopods and Marine Biology
- Marine and fisheries research
- Advanced Photocatalysis Techniques
- Electrocatalysts for Energy Conversion
- CO2 Reduction Techniques and Catalysts
- Sulfur-Based Synthesis Techniques
- Geochemistry and Geologic Mapping
- Vehicle emissions and performance
- Remote Sensing and Land Use
- Advanced battery technologies research
- Remote-Sensing Image Classification
- Catalytic Processes in Materials Science
- Radical Photochemical Reactions
Beijing Normal University
2016-2025
Peking University
2023-2025
Central China Normal University
2021-2025
Guangdong Medical College
2024-2025
National Health and Family Planning Commission
2023-2025
State Key Laboratory of Remote Sensing Science
2017-2024
Shandong University of Science and Technology
2024
Nanjing Xiaozhuang University
2023-2024
Centre National pour la Recherche Scientifique et Technique (CNRST)
2024
Norwegian University of Science and Technology
2019-2024
Deep learning provides exciting solutions in many fields, such as image analysis, natural language processing, and expert system, is seen a key method for various future applications. On account of its non-invasive good soft tissue contrast, recent years, Magnetic Resonance Imaging (MRI) has been attracting increasing attention. With the development deep learning, innovative methods have proposed to improve MRI processing analysis performance. The purpose this article provide comprehensive...
Abstract. With frequent air pollution episodes in China, growing research emphasis has been put on quantifying meteorological influences PM2.5 concentrations. However, these studies mainly focus isolated cities, whilst concentrations at the national scale have not yet examined comprehensively. This employs CCM (convergent cross-mapping) method to understand influence of individual factors local 188 monitoring cities across China. Results indicate that notable seasonal and regional...
Causal inference in complex systems has been largely promoted by the proposal of some advanced temporal causation models. However, models have serious limitations when time series data are not available or present insignificant variations, which causes a common challenge for earth system science. Meanwhile, there few spatial fully exploring rich cross-sectional Earth systems. The generalized embedding theorem proves that observations can be combined together to construct state space dynamic...
Ru-related catalysts have shown excellent performance for the hydrogen evolution reaction (HER) and oxidation (HOR); however, a deep understanding of Ru-active sites on nanoscale heterogeneous support catalysis is still lacking. Herein, click chemistry strategy proposed to design Ru cluster-decorated nanometer RuxFe3–xO4 heterointerfaces (Ru/RuxFe3–xO4) as highly effective bifunctional catalysts. It found that introducing into nanometric Fe3O4 species breaks symmetry configuration optimizes...
Abstract The electrochemical nitrate reduction reaction (NO 3 RR) is able to convert − ) into reusable ammonia (NH ), offering a green treatment and resource utilization strategy of wastewater synthesis. conversion NO NH undergoes water dissociation generate active hydrogen atoms nitrogen‐containing intermediates hydrogenation tandemly. two relay processes compete for the same sites, especially under pH‐neutral condition, resulting in suboptimal efficiency selectivity electrosynthesis from ....
Electrocatalytic nitrate reduction to ammonia (NITRR) offers an attractive solution for alleviating environmental concerns, yet in neutral media, it is challenging as a result of the reliance on atomic hydrogen (H*) supply by breaking stubborn HO-H bond (∼492 kJ/mol) H
Abstract Due to complicated interactions in the atmospheric environment, quantifying influence of individual meteorological factors on local PM 2.5 concentration remains challenging. The Beijing-Tianjin-Hebei (short for Jing-Jin-Ji) region is infamous its serious air pollution. To improve regional quality, characteristics and driving forces should be better understood. This research examined seasonal variations within Jing-Jin-Ji extracted strongly correlated with concentration. Following...
Abstract. With the completion of Beijing Five-year Clean Air Action Plan by end 2017, annual mean PM2.5 concentration in dropped dramatically to 58.0 µg m−3 2017 from 89.5 2013. However, controversies exist argue that favourable meteorological conditions were major driver for such a rapid decrease concentrations. To comprehensively evaluate this 5-year plan, we employed Kolmogorov–Zurbenko (KZ) filter and WRF-CMAQ (Weather Research Forecasting Community Multi-scale Quality) quantify relative...
Abstract. To comprehensively evaluate the effects of recent “2+26” regional strategy for air quality improvement, we compared variations in PM2.5 concentrations Beijing during four pollution episodes with different emission-reduction strategies. The 2+26 implemented March 2018 led to a mean concentration 16.43 % lower than that episode 2013, when no specific measures were place. same November 2017 32.70 2016, local implemented. results suggested on reductions influenced by diversity factors...
Abstract Drought is a main driver of interannual variation in global terrestrial net primary production. However, how and to what extent drought impacts NPP variability unclear. Based on the multi-timescale index SPEI satellite-based annual dataset, we observed robust relationship between both hemispheres. In Northern Hemisphere, trend driven by 19-month variation, whereas that Southern Hemisphere 16-month variation. Drought-dominated NPP, which mainly occurs semi-arid ecosystems, explains...
Extremely high fine particulate matter (PM2.5) concentration has been a topic of special concern in recent years because its important and sensitive relation with health risks. However, many previous PM2.5 exposure assessments have practical limitations, due to the assumption that population distribution or air pollution levels are spatially stationary temporally constant people move within regions generally same quality throughout day other time periods. To deal this challenge, we propose...
In this paper, we present a solution for autonomous exploration and reconstruction in 3-D unknown environments without priori knowledge of the environments. our framework, two-stage heuristic information gain-based next-view planning algorithm is performed to dynamically select update candidate viewpoints, followed by immediate next-best-view extraction corresponding motion planning. The planner consists frontier-based boundary coverage fixed start open travelling salesman problem solver,...
Abstract While multiple bond metathesis reactions, for example olefin metathesis, have seen considerable recent progress, direct of traditionally inert C−O single bonds is extremely rare and particularly challenging. Undoubtedly, reaction one the most ideal routes value‐added upgrading molecules involving bonds. Reported here a new protocol to achieve formal C−O/O−H cross‐metathesis via alternating current electrolysis. Featuring mild conditions, allows readily available 4‐alkoxy anilines...
A powerful and environmentally friendly electrochemical manganese-promoted free radical selenylation reaction between boronic acids diselenide reagents was established. This protocol provides a practically applicable way to series of valuable organoselenium compounds with the use easy available materials. Mechanistic experiments implied that seleno-radical formed via direct or indirect oxidation may be involved as key species in this transformation.