A5100348724- Reliability and Maintenance Optimization
- Cancer Cells and Metastasis
- Software Reliability and Analysis Research
- Power System Reliability and Maintenance
- Power Systems and Technologies
- Telomeres, Telomerase, and Senescence
- Remote Sensing and LiDAR Applications
- Smart Grid and Power Systems
- Risk and Safety Analysis
- Transportation and Mobility Innovations
- Time Series Analysis and Forecasting
- Life Cycle Costing Analysis
- Topic Modeling
- Nuclear and radioactivity studies
- Statistical Distribution Estimation and Applications
- Technology Assessment and Management
- Chemokine receptors and signaling
- Cancer Research and Treatments
- High-Velocity Impact and Material Behavior
- Natural Language Processing Techniques
- Optical measurement and interference techniques
- Advanced Text Analysis Techniques
- Digital Rights Management and Security
- Fatigue and fracture mechanics
- Safety and Risk Management
Kunming University of Science and Technology
2014-2025
Hubei University of Technology
2024
China Southern Power Grid (China)
2024
Didi Chuxing (China)
2020
Ministry of Industry and Information Technology
2019
Harbin Institute of Technology
2019
The deployment of Large Language Models (LLMs) in recommender systems for predicting Click-Through Rates (CTR) necessitates a delicate balance between computational efficiency and predictive accuracy. This paper presents an optimization framework that combines Retrieval-Augmented Generation (RAG) with innovative multi-head early exit architecture to concurrently enhance both aspects. By integrating Graph Convolutional Networks (GCNs) as efficient retrieval mechanisms, we are able...
Abstract Cancer-associated fibroblasts (CAFs) are critical components of the tumor microenvironment (TME), playing significant roles in regulating cancer progression. However, underlying mechanism CAFs activation remains elusive. In this study, we aim to investigates mechanisms by which promote conversion normal (NFs) lung cancer, with a focus on role p53 mutations and CXCL12/STAT3 signaling axis. We found that significantly induced NFs acquire properties (called CEFs), including...
Aging has been recently reported to promote lung cancer initiation and progression. Senescent fibroblasts gain a cancer-associated fibroblast (CAF) phenotype, exert powerful influence on behavior, such as tumor cell growth metastasis. However, mechanisms linking senescence with CAF activation remain poorly understood. Our study shows that senescent displayed properties, including the highly expressed markers, α-SMA Vimentin, CAF-specific factors, CXCL12, FGF10, IL6 COL1A1, which...
Purpose This paper aims to study the maintenance and replacement problem for a deteriorating repairable system with multiple vacations of one repairman. It proposes new policy establishes corresponding models. Design/methodology/approach is assumed that repair after failures not “as good as new” repairman in vacations. The reaching effective age be mutually stochastic at working state, waiting state being repaired state. Under these assumptions, based on applied. long-run expected downtime...
Click-through rate (CTR) prediction, which predicts the probability of a user clicking an ad, is fundamental task in recommender systems. The emergence heterogeneous information, such as profile and behavior sequences, depicts interests from different aspects. A mutually beneficial integration information cornerstone towards success CTR prediction. However, most existing methods suffer two limitations, including (1) insufficient inter-mode interaction due to unidirectional flow between...
The objective of this study is to conduct precise risk prediction traffic accidents using vehicle trajectory data.
To ensure the high-reliability operation of overhead contact lines (OCLs), this paper proposes a data-driven time dependent reliability prediction approach, incorporating maintenance factor, common cause failure (CCF), and lightning strike into modeling for multi-component OCLs. Firstly, new lightning-related probability calculation method is developed, including probabilistic modeling, identification, tracking association analysis (LITAA), movement trajectory prediction, electric geometric...
To eliminate hidden trouble of personnel positioning system, making services more accurate, timely and comprehensive for tunnel workers managers on the ground, basis original "secondary development" was applied mobile terminal based Android. Client server software system designed as well video, photo uploading other functions were perfected. The passive replaced by active positioning. Experiments in this paper have shown that has advantages safe, friendly interface fully functional.