Zaili Yang
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View article: Novel Maritime Techniques and Technologies, and Their Safety
Novel Maritime Techniques and Technologies, and Their Safety Open
Due to the convergence of decarbonisation imperatives, digitalisation, automation, and safety assurance, the maritime sector is undergoing an unprecedented transformation, redefining how ships are designed, operated, and regulated [...]
View article: Building cyber-resilience in maritime transport: A stakeholders’ perspective on mitigation measures
Building cyber-resilience in maritime transport: A stakeholders’ perspective on mitigation measures Open
Cybersecurity risks are becoming a major concern in the maritime industry due to the increasing reliance on information technology and operational technology systems. This paper aims to develop a new methodology to evaluate the effectivene…
View article: Cxcl10 Mediates Osteoblast Inhibition In Periodontitis-Related Bone Loss
Cxcl10 Mediates Osteoblast Inhibition In Periodontitis-Related Bone Loss Open
Aim or purpose: The Role of CXCL10 in Osteoblast Regulation During Periodontal Bone Destruction Materials and methods: Bioinformatics analysis identified key osteogenic genes in periodontitis. Gingival tissues from healthy individuals and …
View article: Prognostic Value of Inflammatory Biochemical Markers (IL-8, PCT, CRP) for Cardiovascular Disease in Patients with Pancreatitis
Prognostic Value of Inflammatory Biochemical Markers (IL-8, PCT, CRP) for Cardiovascular Disease in Patients with Pancreatitis Open
Background: Patients with pancreatitis may be at increased risk of cardiovascular disease (CVD), but the biochemical mechanisms underlying this risk are not fully defined. Inflammatory biomarkers may provide valuable prognostic information…
View article: Advanced modelling for team collaborative decision making analysis on maritime autonomous surface ships using team cognitive work analysis
Advanced modelling for team collaborative decision making analysis on maritime autonomous surface ships using team cognitive work analysis Open
The emerging Maritime Autonomous Surface Ships (MASS) significantly challenges team collaboration in the maritime sector. Although significant progress has been made, current research lacks a holistic analytical approach to MASS operationa…
View article: Exploring a Porous Biochar-Based Capacitive Deionization Device for Phosphogypsum Wastewater Treatment in Undergraduate Experimental Teaching: Understanding, Development, and Practice
Exploring a Porous Biochar-Based Capacitive Deionization Device for Phosphogypsum Wastewater Treatment in Undergraduate Experimental Teaching: Understanding, Development, and Practice Open
Capacitive deionization (CDI) is a crucial technique for industries managing liquid chemical waste, requiring efficient electrode materials to ensure optimal performance. This study presents a novel undergraduate experimental teaching fram…
View article: MDNet: A Differential-Perception-Enhanced Multi-Scale Attention Network for Remote Sensing Image Change Detection
MDNet: A Differential-Perception-Enhanced Multi-Scale Attention Network for Remote Sensing Image Change Detection Open
As a core task in remote sensing image processing, change detection plays a vital role in dynamic surface monitoring for environmental management, urban planning, and agricultural supervision. However, existing methods often suffer from mi…
View article: Ultra-compact dual-band grating coupler for visible wavelengths with shape-optimized spot size converter
Ultra-compact dual-band grating coupler for visible wavelengths with shape-optimized spot size converter Open
Here, we theoretically and numerically present, to the best of our knowledge, the first ultra-compact dual-band grating coupler for visible wavelengths based on a silicon nitride (Si 3 N 4 ) platform. The device can be divided into two int…
View article: Uncertainty-aware ship trajectory prediction via Spatio-Temporal Graph Transformer
Uncertainty-aware ship trajectory prediction via Spatio-Temporal Graph Transformer Open
Accurate trajectory prediction is essential for enabling the autonomous navigation of unmanned ships. Recent advancements in Deep Learning (DL) based trajectory prediction using AIS data have positioned this area as a key focus in maritime…
View article: Individual, Collective, or Selective Penalties for Reducing Student Tardiness? From Behavior Economics Perspective
Individual, Collective, or Selective Penalties for Reducing Student Tardiness? From Behavior Economics Perspective Open
This study explores effective penalty strategies to reduce student tardiness. In this study, we compare the effects of individual punishment, collective punishment, and collective punishment with exemptions for latecomers. The data is coll…
View article: Spatiotemporal prediction of offshore wind fields based on a hybrid deep learning model for maritime navigation
Spatiotemporal prediction of offshore wind fields based on a hybrid deep learning model for maritime navigation Open
Accurate wind speed prediction is crucial for offshore wind power generation, ship navigation, and the use of renewable energy, as it optimises energy production, enhance maritime safety. This study introduces GswinLSTM, a novel hyrid mode…
View article: Developing robust traffic navigation scenarios for autonomous ship testing: an integrated approach to scenario extraction, characterization, and sampling in complex waters
Developing robust traffic navigation scenarios for autonomous ship testing: an integrated approach to scenario extraction, characterization, and sampling in complex waters Open
The fast development of Maritime Autonomous Surface Ships (MASSs) marks a significant advancement in the shipping industry, offering enhanced performance, cost-effectiveness, and environmental sustainability. This study aims to develop a h…
View article: Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure
Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure Open
We introduce TestCase-Eval, a new benchmark for systematic evaluation of LLMs in test-case generation. TestCase-Eval includes 500 algorithm problems and 100,000 human-crafted solutions from the Codeforces platform. It focuses on two pivota…
View article: Application of Deep Learning in Laboratory Equipment Failure Prediction and Maintenance
Application of Deep Learning in Laboratory Equipment Failure Prediction and Maintenance Open
The advancement of smart cities and interdisciplinary technologies has revolutionized laboratory equipment management, emphasizing the need for intelligent predictive maintenance systems. Traditional maintenance strategies, such as periodi…
View article: TIM3-blockade synergizes with IL2 in alleviating intra-tumoral CD8+T cell exhaustion
TIM3-blockade synergizes with IL2 in alleviating intra-tumoral CD8+T cell exhaustion Open
TIM3, a T-cell inhibitory receptor, is expressed on exhausted T cells in the TME. Progressive loss of IL2-secretion is an early sign of diminished effector function in TILs, which raises the possibility of IL2 loss driving exhaustion of TI…
View article: Cross-provincial transaction optimization model with risk control in a two-tier electricity market and reduced-capacity microgrid collaborative verification
Cross-provincial transaction optimization model with risk control in a two-tier electricity market and reduced-capacity microgrid collaborative verification Open
To further achieve the optimal resource allocation across provinces and regions and effectively deal with the risks brought to the market by uncertainty about renewable energy output and load demand, a two-layer optimization model for powe…
View article: Fault Analysis and Protection Principle for the Distribution Networks Integrated with PV and BESS
Fault Analysis and Protection Principle for the Distribution Networks Integrated with PV and BESS Open
With the rapid development of renewable energy technologies, large numbers of photovoltaic (PV) and battery energy storage systems (BESS) have been connected to distribution networks. However, both PV and the BESS are inverter interfaced p…
View article: Visual perception for long-distance and small target detection in autonomous maritime navigation
Visual perception for long-distance and small target detection in autonomous maritime navigation Open
In the pursuit of advancing autonomous maritime navigation, this study aimed to develop a novel architecture designed to enhance the detection accuracy of distant and small targets under the constraints of real-time performance and robustn…
View article: Multi-factor influence-based ship trajectory prediction analysis via deep learning
Multi-factor influence-based ship trajectory prediction analysis via deep learning Open
The trajectory prediction research based on deep learning methods shows more substantial competitiveness than classical ones in the context of big data analysis methods. However, the relevant literature fails to explain the collective impa…