A5101856266- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Minerals Flotation and Separation Techniques
- Iron oxide chemistry and applications
- Autonomous Vehicle Technology and Safety
- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Cancer Cells and Metastasis
- Crystallography and molecular interactions
- Lung Cancer Treatments and Mutations
- Metal Extraction and Bioleaching
- Traffic control and management
- Transportation Planning and Optimization
- Engineering and Test Systems
- Advanced Graph Neural Networks
- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Body Composition Measurement Techniques
- Transportation and Mobility Innovations
- Energy and Environment Impacts
- Phosphorus and nutrient management
- Supply Chain Resilience and Risk Management
- Geochemistry and Elemental Analysis
- Anomaly Detection Techniques and Applications
- TGF-β signaling in diseases
Shanghai Pulmonary Hospital
2025
Tongji University
2025
Huazhong University of Science and Technology
2024
Tongji Hospital
2024
Central South University
2021-2024
East China University of Science and Technology
2020
Ministry of Ecology and Environment
2012
The flotation separation of magnesite from calcium-containing minerals has always been a difficult subject in processing. This work studied the inhibition effects carboxymethyl cellulose (CMC), sodium lignosulphonate, polyaspartic acid (PASP) and silicate on behaviors magnesite, dolomite calcite, providing guidance for development reagents flotation. micro-flotation results showed that among these four depressants, presented strongest selectivity due to highest recovery difference, calcite...
Camphor leaves were directly extracted as depressants by using simple physical methods. The active ingredients and depression mechanism studied through contact angle measurements, Fourier transform infrared spectroscopy (FTIR), atomic force microscopy (AFM). flotation experiment showed that camphor leaf extract (CLE) had a strong effect on calcite but minimal scheelite. adsorption morphology detected AFM confirmed the existence of calcite. FTIR results indicated adsorbed components surface...
Lung squamous cell carcinoma (LUSC) represents a major subtype of lung cancer, and it demonstrates limited treatment options worse survival. Identifications prognostic model chemoresistance mechanism can be helpful for improving stratification guiding therapy decisions. The integrative development machine learning-based models reveals random survival forest (RSF) LUSC. 12-gene RSF exhibits high power in more than 1,000 LUSC patients. High-risk patients are associated with the activation...
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Doubly modified: Polyoxometalates can incorporate a large number of different functionalities in way that mixes the ligands one-pot reaction. A class mixed organoimido bifunctionalized hexamolybdates is presented involves two moieties L1 and L2, namely, differing aromatic, aromatic aliphatic, aliphatic moieties. As service to our authors readers, this journal provides supporting information supplied by authors. Such materials are peer reviewed may be re-organized for online delivery, but not...
An airport pick-up area is one of the most congested transportation facilities. When vehicles go to pick up passengers, they need frequently change lanes stop and leave, resulting in a high collision risk congestion at areas. This study aims investigate safety efficiency areas extract traffic conflicts based on video data. The data are collected from Changsha Airport China, vehicle trajectory extracted using Baidu API. transformation between pixel coordinates real realized through homography...
Understanding the mechanism of traffic crash occurrence is a crucial work for their prevention. However, due to inherent randomness and zero inflation nature crash, it has been proven be difficult capture dynamic patterns in data. The existing on this topic mainly focuses improving overall estimation accuracy specific methods, while ignoring potential challenges exploring rules crash. objective study develop model overcome abovementioned limitations explain correlation urban crashes. This...
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Under the background of economic globalization and professional division labor, each link enterprise supply chain management is facing more risks. Over past two years, due to turbulent situation at home abroad repeated outbreaks COVID-19 around world, normal procurement work has been greatly affected which means purchase cost increases even out stock occur. The rapid development big data, artificial intelligence other technologies brought new tools for risk management. This paper focuses on...
Applying deep learning techniques in predicting traffic crashes provides a possibility to achieve the vision of “zero fatalities” by implementing proactive safety countermeasure. However, complexity and excessive zero cases crash data have hindered widespread high-precision prediction risk urban areas. This paper proposes novel method, Priori Spatial Temporal Casual Graph Convolutional Network (PST-CGCN) for based on causal inference graph convolutional network. In PST-CGCN, enhancement...