A5108047841- Occupational Health and Safety Research
- Risk and Safety Analysis
- Geoscience and Mining Technology
- Coal Properties and Utilization
- Geomechanics and Mining Engineering
- Evaluation and Optimization Models
- Safety and Risk Management
- Energy, Environment, Economic Growth
- Advanced Decision-Making Techniques
- Gamma-ray bursts and supernovae
- Mineral Processing and Grinding
- Advanced Sensor and Control Systems
- Industrial Technology and Control Systems
- Rock Mechanics and Modeling
- Evaluation Methods in Various Fields
- Simulation and Modeling Applications
- Stellar, planetary, and galactic studies
- Astronomy and Astrophysical Research
- Metal Extraction and Bioleaching
- Mining and Gasification Technologies
- Environmental Impact and Sustainability
- Quality and Safety in Healthcare
- Advanced Algorithms and Applications
- Environmental Quality and Pollution
- Heavy metals in environment
Jiangsu University
2017-2025
Army Medical University
2022-2024
Southwest Hospital
2022-2024
Chinese Academy of Geological Sciences
2016-2024
South China University of Technology
2013-2024
Jilin Jianzhu University
2024
Zhejiang University of Technology
2023-2024
Guangzhou University
2022-2024
Harbin Institute of Technology
2009-2024
Jinzhou Medical University
2024
We present photometric and spectroscopic observations of SN 2007if, an overluminous (MV = −20.4), red (B − V 0.16 at B-band maximum), slow-rising (trise 24 days) type Ia supernova (SN Ia) in a very faint (Mg −14.10) host galaxy. A spectrum 5 days past maximum light is direct match to the super-Chandrasekhar-mass candidate 2003fg, showing Si ii C ∼9000 km s−1. high signal-to-noise co-addition spectral time series reveals no Na i D absorption, suggesting negligible reddening galaxy, late-time...
Predicting traffic conditions from online route queries is a challenging task as there are many complicated interactions over the roads and crowds involved. In this paper, we intend to improve prediction by appropriate integration of three kinds implicit but essential factors encoded in auxiliary information. We do within an encoder-decoder sequence learning framework that integrates following data: 1) offline geographical social attributes. For example, structure or public events such...
Green total factor productivity (GTFP) growth is an essential route to realize the target of carbon peak and neutrality. Chinese government has implemented several environmental regulations (ER) accelerate GTFP growth. However, influencing path ER on China's still puzzled. This paper based Porter's Compliant Hypotheses, employs super-efficiency Epsilon-based measure (EBM) model Malmquist-Lunberger (ML) index under meta-frontier estimate provincial from 1998 2018. A Systematic Generalized...
Abstract Green innovation is an effective path to decrease environmental pollutions. It of immense interest evaluate the roles green on SO 2 emissions reduction. We also investigate static and dynamic threshold effect human capital in impacting paths different innovations emissions. The empirical results show that design patent increases while development utility can based analysis analysis. Both “pollution halo” heaven” hypotheses foreign direct investment (FDI) are validated China....
Autonomous driving has been widely applied in commercial and industrial applications, along with the upgrade of environmental awareness systems. Tasks such as path planning, trajectory tracking, obstacle avoidance are strongly dependent on ability to perform real-time object detection position regression. Among most commonly used sensors, camera provides dense semantic information but lacks accurate distance target, while LiDAR depth sparse resolution. In this paper, a LiDAR-camera-based...
The long-term viability of Building Integrated Photovoltaics (BIPV) as a renewable energy technology has garnered increased attention in recent discussions. However, there is currently noticeable absence simulation tools specific to BIPV applications that can cover the whole modelling chain. It remains unclear what extent existing PV and BIM-based effectively address complexities projects. Therefore, this study aims assess process for simulation, three standalone (SAM, PV*SOL premium,...
We present extensive optical observations of a Type IIn supernova (SN) 2010jl for the first 1.5 years after discovery. The UBVRI light curves demonstrated an interesting two-stage evolution during nebular phase, which almost flatten out about 90 days from maximum. SN has one highest intrinsic H_alpha luminosity ever recorded IIn, especially at late suggesting strong interaction ejecta with dense circumstellar material (CSM) ejected by progenitor. This is also indicated remarkably Balmer...
We present a new method to standardize type Ia supernova (SN Ia) luminosities 0.13 mag using flux ratios from single flux-calibrated spectrum per SN. Using Nearby Supernova Factory spectrophotomery of 58 SNe Ia, we performed an unbiased search for that correlate with SN luminosity. After developing the and selecting best training sample, verified results on separate validation sample data literature. identified multiple whose correlations luminosity are stronger than those light curve shape...
Power flow (PF) is one of the most important calculations in power systems.The widely-used PF methods are Newton-Raphson (NRPF) method and fast-decoupled (FDPF) method.In smart grids, generations loads become intermittent much more uncertain, topology also changes frequently, which may result significant state shifts further make NRPF or FDPF difficult to converge.To address this problem, we propose a data-driven (DDPF) based on historical/simulated data that includes an offline learning...