A5029860081- Maritime Navigation and Safety
- Evacuation and Crowd Dynamics
- Risk and Safety Analysis
- Structural Integrity and Reliability Analysis
- Mitochondrial Function and Pathology
- Marine and Coastal Research
- RNA and protein synthesis mechanisms
- Ship Hydrodynamics and Maneuverability
- Maritime Transport Emissions and Efficiency
- RNA modifications and cancer
- Maritime Ports and Logistics
- Gastric Cancer Management and Outcomes
- Enhanced Recovery After Surgery
- Traffic and Road Safety
- Coastal and Marine Dynamics
- Hearing, Cochlea, Tinnitus, Genetics
- Wound Healing and Treatments
- Pharmacological Effects of Natural Compounds
- Maritime Security and History
- Forest, Soil, and Plant Ecology in China
- Psychosomatic Disorders and Their Treatments
- Pancreatitis Pathology and Treatment
- Glycosylation and Glycoproteins Research
- Colorectal Cancer Surgical Treatments
- Rock Mechanics and Modeling
Dalian Maritime University
2020-2025
Liverpool John Moores University
2024-2025
Weihai Chest Hospital
2020-2025
Tianjin University
2025
Chinese Academy of Sciences
2025
Zhejiang University
2024
Beijing Institute of Big Data Research
2023-2024
Nankai University
2007-2024
Xi'an Jiaotong University
2023-2024
North China University of Water Resources and Electric Power
2024
In order to analyse the research evolution and knowledge frontier in of marine accidents, 491 literatures on accidents Web Science database from 2000 2022 are taken as data sources. Integrated with literature analysis traditional method, CiteSpace VOSviewer then jointly used for development network map cluster analysis, map, hotpots, frontiers is obtained. It found that there a close cooperative relationship among journals, researchers, institutions countries or regions. According subjects...
In maritime transport, evacuation, escape and rescue play a crucial role in protecting people's lives when passenger ship is involved serious accident. The study aims to develop new method identify hazards, quantify rank the associated risks process of Human Evacuation from Passenger Ships (HEPS). Firstly, based on extensive literature review marine accident investigation reports, risk factors affecting evacuation were analysed identified, an analysis framework Human, Ship, Environment...
Although many studies have focused on the occurrence likelihood of marine accidents, few analysis severity consequences, and even fewer prediction severity. To this end, a new research framework is proposed in study to accurately predict accidents. First, novel two-stage feature selection (FS) method was developed select rank Risk Influential Factors (RIFs) improve accuracy Machine Learning (ML) model interpretability FS. Second, comprehensive evaluation measure performance FS methods based...
In view of the frequent occurrence marine accidents and complex interaction various risk-influencing factors (RIFs), a data-driven method to risk analysis that combines association rule mining (ARM) network (CN) is proposed in this study. The efficient FP-Growth algorithm applied facilitate ARM examine patterns frequently occur accidents. Subsequently, CN theory employed scrutinise multifaceted role RIFs their interactions accident system, which involves basic characteristics network,...
Passenger vessels often present different heeling and/or trim angles during and after accidents, while recognising it as the main factor affecting pedestrian movement an emergency evacuation process, there is difficulty to reproduce activities on ships due cost constrains safety concerns in relevant studies. To fill research gap, improved social force model (SFM) incorporating both inclining self-adjusting forces of pedestrians into basic SFM was constructed simulate dynamics under ship...
Based on the global maritime accident data from 2010 to 2019, density analysis and clustering have been used analyse spatial patterns of accidents in terms frequency severity. The North Sea, Baltic Sea Mediterranean form low severity clustering. More than 60% are found within sea areas less 30 nm coastline. As characteristics severity, coastal waters surrounding China, Japan, South Korea, Vietnam Philippines, Singapore-Malacca Strait Bay Biscay high although they medium densities analysis....
Accurate prediction of ship emissions aids to ensure maritime sustainability but encounters challenges, such as the absence high-precision and high-resolution databases, complex nonlinear relationships, vulnerability emergency events. This study addresses these issues by developing novel solutions: a Spatiotemporal Trajectory Search Algorithm (STSA) based on Automatic Identification System (AIS) data; rolling structure-based Seasonal-Trend decomposition Loess technique (STL); modular deep...
Current traffic pattern mining methods fail to incorporate the temporal co-occurrence of characteristics. To address this problem, a new spatial-temporal data method is developed involving three steps. Firstly, three-dimensional tensor constructed utilizing AIS data. The discretized and numbered so that each entry represented by one-dimensional array includes region, time, ship type, speed numbers. Then mapped tensor. Second, non-negative factorization (NTF) used break down into multiple...
The extraction process of crude polysaccharides from Glycyrrhiza (GP) by ultrasonic assisted hot water method was established according to the optimized kinetic model based on Fick's second law diffusion, and thermodynamic action analyzed. Physicochemical properties GP including apparent viscosity, thermostability antioxidant activities etc. were determined ultraviolet spectrophotometry differential scanning calorimetry (DSC). Characteristic function groups surface structure also analyzed...
Due to the constraints of various factors influencing human evacuation on board, it remains a challenging problem accurately quantify impact these process. To analyse multiple influential from ships, specific framework based orthogonal experiments is proposed in this paper comprehensively investigate time and efficiency Heeling angles, unavailable stairs, priorities evacuees are identified as according characteristics ships. The analysis results show that heeling angle has very significant...
Compared with ocean transportation, inland waterway transportation (IWT) has issues such as a low configuration standard of navigation equipment, insufficient crew knowledge and skills, the relatively more complex hydrographic environment waterways. To recognize quantify risk IWT, this study proposes novel assessment method. Firstly, text mining by Python is applied to influential factors (RIFs) from marine accident investigation reports (MAIRs), evaluation hierarchy system established....
Crude oil transportation is a vital component of the global energy supply, and Oil Maritime Transportation Network (COMTN) plays crucial role as carrier for crude transportation. Once network faces attacks that result in failure certain routes, severe threat posed to supply security importing countries. Therefore, it evaluate reliability COMTN. This study proposes model evaluating imported COMTN by analyzing impact node failures. Firstly, constructed using complex networks (CNs) theory, with...