A5101399889- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Topic Modeling
- Environmental Quality and Pollution
- Industrial Technology and Control Systems
- Arsenic contamination and mitigation
- Advanced Computational Techniques and Applications
- Air Quality Monitoring and Forecasting
- Recommender Systems and Techniques
- Advancements in Battery Materials
- Environmental Policies and Emissions
- Remote Sensing and Land Use
- Expert finding and Q&A systems
- Advanced Algorithms and Applications
- High-Temperature Coating Behaviors
- Vehicle emissions and performance
- Iron oxide chemistry and applications
- Advanced Battery Technologies Research
- Immune Response and Inflammation
- High Entropy Alloys Studies
- Advanced Decision-Making Techniques
- Pharmacological Effects of Natural Compounds
- Grouting, Rheology, and Soil Mechanics
- Energy, Environment, Economic Growth
- Evaluation and Optimization Models
Tianjin Chengjian University
2004-2025
Kunming University of Science and Technology
2018-2025
Chinese Academy of Sciences
2016-2025
Chongqing Academy of Environmental Science
2011-2024
Beijing Normal University
2024
Jiangxi University of Science and Technology
2023-2024
Jinan University
2022-2023
Shenzhen University
2023
Nanjing University of Chinese Medicine
2022
University of Science and Technology of China
2022
Abstract EEG-based emotion recognition has attracted substantial attention from researchers due to its extensive application prospects, and progress been made in feature extraction classification modelling EEG data. However, insufficient high-quality training data are available for building models via machine learning or deep methods. The artificial generation of is an effective approach overcoming this problem. In paper, a multi-generator conditional Wasserstein GAN method proposed the that...
Arsenic is a highly toxic and carcinogenic element, which poses huge threat to millions of people. The toxicity arsenic links its solubility. Therefore, the immobilization great significance. Among series materials (include arsenate, arsenite arsenide), scorodite most suitable one due excellent stability. In this study, we propose novel method synthesize using ferrihydrite as an in situ iron donator. process occurs via dissolution followed by coprecipitation ions on surface ferrihydrite. A...
For sustainable regional development, industrial transfer is an important trend that will potentially change the spatial and temporal pattern of air pollution economic development. Aiming to better regulate guide policy-making, this study proposes assessment framework for combines precise enterprise data, GIS technology a 3-D quality model. Taking Guangdong Province as example, simulates redistribution 4015 high-pollution high-energy-consumption (double-high) enterprises in Pearl River Delta...
The multi-granularity temporal knowledge graph question-answering model consists of two core tasks: question information extraction and embedding representation. Existing studies typically compute the relevance score between associated to identify answer. However, current datasets are relatively scarce, most research has not fully exploited potential these limited datasets, resulting in limitations model’s ability capture complex relationships. Additionally, existing methods often overlook...
FeCoNiCrAl high-entropy alloy (HEA) coating was prepared by air plasma spraying, and the coating’s morphology properties under different power parameters were analyzed. The results show that spraying significantly affects of during spraying. molten droplets formed preparation process HEA coatings tend to combine with oxygen, aluminum bonding particularly strongly resulting in presence oxide within coating, while other elements exhibit weaker oxygen. optimal is 12 kW, at this advantages such...
Exhaust emissions from diesel vehicles are one among the major sources of PM2.5 and polycyclic aromatic hydrocarbons （PAHs） emitted by concern due to their notable impact on health. To better understand toxicity vehicle emissions, we used an on-road sampling system collect samples four light-duty trucks （LDDTs） two heavy-duty （HDDTs） under China Ⅴ Ⅵ emission standard. Further, 16 （pPAHs）, 18 nitro-polycyclic （NPAHs）, five oxygenated （OPAHs） were analyzed GC-MS, mileage-based factors...
The analysis of the ozone trend after removing influence meteorological factors is extremely important to evaluate implementation effect air pollution prevention and control policies. effects on near-surface concentrations in four cities （Shihezi, Changji, Wujiaqu, Urumqi） with serious economic zone northern slope Tianshan Mountains past five years （2018-2022） were investigated using a combination KZ filtering method multiple linear stepwise regression. results showed that seasonal component...
The definition and confirmation of the mechanism action an NCE is central to antimicrobial drug discovery. Most antibiotics currently in clinical use selectively target block one or more bacterial macromolecular synthesis processes, e.g., DNA replication, RNA (transcription), protein (translation), cell wall (peptidoglycan) synthesis, fatty acid (lipid) biosynthesis. This unit includes two protocols for determining effect test compounds on tube format other 96-well plate format. A membrane...
Abstract Background: Sepsis is the leading cause of death in critically ill patients. Ulinastatin (UTI), a protease inhibitor, and rhubarb, used as traditional Chinese medication, are proved to be effective treating sepsis, but effect combination therapy these two drugs on sepsis remains unclear. This study aimed investigate treatment UTI rhubarb Methods: A total 75 septic patients were randomly divided into control group, Rhubarb plus group. Clinical data score Acute Physiology Chronic...
As an important component to promote the development of affective brain-computer interfaces, study emotion recognition based on electroencephalography (EEG) has encountered a difficult challenge; distribution EEG data changes among different subjects and at time periods. Domain adaptation methods can effectively alleviate generalization problem models. However, most them treat multiple source domains, with significantly distributions, as one single domain, only adapt cross-domain marginal...
With the development of social networks and online mobile communities, group recommendation systems support users’ interaction with similar interests or purposes others. We often provide some advices to close friends, such as listening favorite music sharing dishes. However, personalities have been ignored by traditional while majority is satisfied. In this paper, a method based on external social‐trust proposed, which builds profile analyzing not only preferences, but also relationships...
Recommender systems are an effective way to address the information overload problem. Due rapid development of deep learning, recommender based on learning can efficiently process massive training samples and integrate a variety additional information, which alleviate inherent data sparsity cold start problems systems. However, need collect amounts user for models, poses challenges security privacy protection. By using users' local, not centrally collected, data, federated collaboratively...
Pure, 5% Ti-doped and 10% WO 3 thin films were prepared by the radio frequency magnetron sputtering characterised a SEM, an electrochemical workstation UV–VIS–NIR spectrophotometer. Research results showed that Ti doping had no apparent influence on surface morphology optical band gap. It could also be found addition of has little interference with electrochromic property in both bleached coloured states at initial cycles from test results, while there differences transmittance inserted...