A5100575327- Traffic and Road Safety
- Autonomous Vehicle Technology and Safety
- Video Surveillance and Tracking Methods
- Biodiesel Production and Applications
- Metallurgy and Material Forming
- Financial Distress and Bankruptcy Prediction
- Advanced Combustion Engine Technologies
- Metal Forming Simulation Techniques
- Advanced Numerical Analysis Techniques
- Vehicle emissions and performance
- Advanced Sensor and Energy Harvesting Materials
- Natural Language Processing Techniques
- FinTech, Crowdfunding, Digital Finance
- Advanced Battery Technologies Research
- Diabetic Foot Ulcer Assessment and Management
- Autophagy in Disease and Therapy
- Customer churn and segmentation
- Spinal Cord Injury Research
- Advancements in Battery Materials
- Image Retrieval and Classification Techniques
- Traffic Prediction and Management Techniques
- Adsorption and Cooling Systems
- Conducting polymers and applications
- Fuzzy Logic and Control Systems
- Acupuncture Treatment Research Studies
Xinjiang University
2023-2024
Jiangsu Shengze Hospital
2023-2024
Nanjing Medical University
2023-2024
Taizhou University
2023
Guangzhou University
2023
China Huadian Corporation (China)
2022
Fujian Agriculture and Forestry University
2018
Jiangsu University
2010-2011
Spinal cord injury (SCI) results in a diverse range of disabilities and lacks effective treatment options. In recent years, exosomes derived from bone mesenchymal stem cells (BMSCs) have emerged as promising cell-free therapeutic approach for treating ischemic brain other inflammatory conditions. Macrophage/microglial pyroptosis has been identified contributing factor to neuroinflammation following SCI. The potential BMSC-derived macrophage/microglia pyroptosis-induced neuroinflammation,...
Peer-to-peer (P2P) lending is a fintech innovation that provides loans to individuals and businesses without the need for additional intermediaries.However, if borrower fails repay loan on time, bank suffers financial loss due borrower's default. At present, many studies are trying improve accuracy of credit default risk prediction models reduce institutions' business, but it also meaningful study focus improving recall rate model results. In related research field prediction, crucial banks...
Thermally activated delayed fluorescent (TADF)-based electrochemiluminescence (ECL) (TADF-ECL) has attracted attention owing to its potential achieve the ideal 100% charge-to-photon conversion capability (100% ΦECL), which is important boost ECL biosensing and imaging applications. However, achieving efficient aqueous TADF-ECL using TADF-based polymer dots (TADF-Pdots) challenging. It not clear if unique TADF photophysical properties of TADF-Pdots play a role in emission how they differ from...
The Ubiquitin-proteasome system (UPS) performs a crucial role in immune activation and tumorigenesis. Nevertheless, the comprehensive of ubiquitin-proteasome low-grade glioma (LGG) tumor microenvironment (TME) remains unknown. Ubiquitination modification patterns LGG patients corresponding characteristics traits, CSC stemness, cellular senescence were evaluated via analysis 20 ubiquitination regulators. For quantification status individual patients, UM-score was constructed associated with...
We use video footage of a water tunnel experiment to construct two-dimensional reduced-order model the flapping dynamics an inverted flag in uniform flow. The is obtained as reduced on attracting spectral submanifold (SSM) that emanates from two slowest modes unstable fixed point flag. Beyond and limit cycle expected observations, our SSM-reduced also confirms existence points for flag, which were found by previous studies. Importantly, correctly reconstructs small number general...
Background: At present, there are some problems in multimodal medical image fusion, such as texture detail loss, leading to edge contour blurring and energy contrast reduction. Objective: To solve these obtain higher-quality fusion images, this study proposes an method based on local saliency multi-scale fractal dimension. Methods: First, by using a non-subsampled contourlet transform, the was divided into 4 layers of high-pass subbands 1 layer low-pass subband. Second, order fuse 2 4, rules...
<title>Abstract</title> This paper proposes an innovative Spatiotemporal Variational Autoencoder (ST-VAE) model, aimed at effectively capturing the spatiotemporal features of pedestrian behavior to enhance accuracy trajectory prediction intersections. To address complex relationships in social interactions, designs a Social Graph Attention Network (SGAT) that dynamically identifies relative importance traffic participants, optimizing interaction analysis. Additionally, introduces Complex...
<title>Abstract</title> Machine translation is a critical area in natural language processing, aiming to achieve automatic between different languages. Despite significant progress multilingual tasks with neural machine models, many challenges remain handling low-resource These mainly arise from the limited availability of parallel corpora for training and differences grammatical structures expressions among Based on this, this study proposes an iterative ensemble pruning data augmentation...
Bolted joints can exhibit significantly nonlinear dynamics. Finite Element Models (FEMs) of this phenomenon require fine spatial discretizations, inclusion contact and friction laws, as well geometric nonlinearity. Owing to the nonlinearity high dimensionality such models, full-order dynamic simulations are computationally expensive. In work, we use theory Spectral Submanifolds (SSMs) construct FEM-based data-driven Reduced Order (ROMs). The data used for constructing model consists a few...
Based on KIVA-3V code, the numerical simulation combustion process and NOx emission of a light-vehicle diesel engine is carried out, using different injection strategies. The results show that compared with traditional single injection, pilot can decline ignition delay period maximum temperature, which leads to reduction NOX emission, as pre-injection mass increases, increases. Fuel must be sufficient for preheating chamber. Otherwise, deteriorated in condition excessive amount injection....
Abstract The optimal operation of the air-cooled condenser (ACC) is crucial to thermal efficiency power plant, where heat transfer capacity ACC plays fundamental role. However, coefficient (HTC) usually unknown due its complexity under real conditions, and therefore relies on operator’s experience. Here prediction models HTC incorporating mechanisms machine learning algorithms are proposed. Approximately 1200 thousand data records from a plant China reduced used train models. Machine...
Peer-to-peer (P2P) lending is a fintech innovation that allows loans to individuals and businesses without the need for other intermediaries. In P2P business , banks suffer financial losses due default by borrowers . The content of many studies improve accuracy credit risk models reduce bank but it also meaningful study focus on improving recall rate model prediction results This designed use Lending Club's data set uses an improved machine learning fusion algorithm further AUC indicator (...
Based on KIVA-3V code, the numerical simulation combustion process and NOx emission of a light-vehicle diesel engine is carried out, using different injection strategies. The results show that compared with traditional single injection, pilot can decline ignition delay period maximum temperature, which leads to reduction NOX emission, as pre-injection mass increases, increases. Fuel must be sufficient for preheating chamber. Otherwise, deteriorated in condition excessive amount injection....