A5105518100- High voltage insulation and dielectric phenomena
- Air Quality Monitoring and Forecasting
- Hydrology and Watershed Management Studies
- Advanced Neural Network Applications
- Vehicular Ad Hoc Networks (VANETs)
- Electrical Fault Detection and Protection
- Power Transformer Diagnostics and Insulation
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Water Quality Monitoring and Analysis
- Autonomous Vehicle Technology and Safety
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Air Quality and Health Impacts
- Advanced Algorithms and Applications
- Industrial Vision Systems and Defect Detection
- Elevator Systems and Control
- Image and Object Detection Techniques
- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Soil erosion and sediment transport
- Diet and metabolism studies
- Aerospace and Aviation Technology
- Advanced Sensor and Control Systems
- Environmental remediation with nanomaterials
- Additive Manufacturing and 3D Printing Technologies
- Optimization and Packing Problems
Jilin University
2022-2025
Jilin Province Science and Technology Department
2024-2025
Nankai University
2024
Shanxi Agricultural University
2024
Southwest Jiaotong University
2024
Liaoning University of Traditional Chinese Medicine
2024
Dalian University of Technology
2020-2024
Shaanxi Provincial Land Engineering Construction Group
2023-2024
Anhui Polytechnic University
2024
Jilin Medical University
2024
Abstract Cuproptosis is a novel form of regulated cell death which guarantees to increase the efficacy existing anticancer treatments that employ traditional apoptotic therapeutics. However, reducing amount undesirable Cu ions released in normal tissue and maximizing Cu‐induced cuproptosis therapeutic effects at tumor sites are major challenges. In this study, exploiting chemical properties copper ionophores microenvironment, method developed for controlling valence cause photoinduced cells....
Partial discharge detection is considered a crucial technique for evaluating insulation performance and identifying defect types in cable terminals of high-speed electric multiple units (EMUs). In this study, terminal samples exhibiting four typical defects were prepared from EMUs. A testing system, utilizing high-frequency current sensing, was developed to collect signals, datasets corresponding these established. This study proposes the use convolutional neural network (CNN) classification...
The rise in endometrial cancer rates globally calls for advanced diagnostic methods and new biomarkers. CPA4, known its role development, has not yet been studied relation to cancer, making it a promising research avenue. We analyzed CPA4's mRNA expression using data from TCGA GEO databases validated these findings with 116 clinical samples through immunohistochemical analysis. Ishikawa Hec-1-A cell lines were used examine functionality. In addition, we conducted correlation analysis, Gene...
Abstract The purpose of the present study is to predict and draw up non-grain cultivated land (NCL) susceptibility map based on optimized Extreme Gradient Boosting (XGBoost) model using Particle Swarm Optimization (PSO) metaheuristic algorithm. In order to, a total 184 NCL areas were identified historical records, 16 conditioning factors (NCLSCFs) considered, both systematic literature survey local environmental conditions. results showed that XGBoost by PSO performed well in comparison...
Cable termination serves as a crucial carrier for high-speed train power transmission and weak part of the cable insulation system. Partial discharge detection plays significant role in evaluating status. However, field testing signals are often contaminated by external corona interference, which affects accuracy. This paper proposes classification model based on wavelet transform (WT) deep belief network (DBN) to accurately rapidly identify partial vehicle-mounted terminals. The method...
Abstract Background: The rise in endometrial cancer rates globally calls for advanced diagnostic methods and new biomarkers. CPA4, known its role development, has not yet been studied relation to cancer, making it a promising research avenue. Methods: We analyzed CPA4's mRNA expression using data from TCGA GEO databases validated these findings with 116 clinical samples through immunohistochemical analysis. Ishikawa Hec-1-A cell lines were used examine functionality. Additionally, we...
Concerning the problem of uncertainty different environment meteorological models and in order to improve accuracy PM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2.5</sub> concentration forecast, based on forecast products three including CUACE, BREMPS WRF-Chem Shanghai, wavelet neural network combined theory with was used build multi-model ensemble forecasting model concentration. The experiment carried out by data Beijing station, this...
This letter proposes a new approach to the reliability analysis of IEEE 802.11 one-dimensional (1-D) broadcast mobile ad hoc networks. The finds simple and effective way derive distribution signal-to-interference-to-noise ratio (SINR) on each receiver, which is required for evaluation metrics channel capacity. Having observed that interference area depends given SINR threshold, derivation converted estimating threshold related areas are dynamically changed in communication channel. applied...
Audit quality usually refers to the that auditing services accounting firm auditors provide an enterprise in form of audit report. This study empirically analyzes impact mechanism smog pollution on quality, based data A-share listed companies Shanghai and Shenzhen Stock Exchanges during period 2013 2017 air monitoring released by China National Environmental Monitoring Centre covering 2018. First, empirical results show can lead a decline quality. Second, time plays partial mediating role...
Autonomous driving technology is currently a globally prominent subject, with its relevance and impact readily apparent. Leveraging advanced sensors, sophisticated algorithms, state-of-the-art computer vision techniques, autonomous vehicles can autonomously navigate, mitigate traffic accidents, alleviate urban congestion. Furthermore, this poised to accelerate innovation within the automotive sector, drive industrial advancement, enhance people's convenience safety in their travel...
LSTM, proposed by German computer scientists Sepp Hochreiter and Jürgen Schmidhuber in 1997 [3], has shown outstanding performance various tasks, especially tasks that require capturing long-term dependencies. These include language modeling machine translation the field of natural processing, as well stock price prediction. This project aims to explore potential LSTM models music generation analyzing Mozart's classical piano works using music21 creating a training dataset. The uses learn...
Cable termination is an important part of energy transmission in high-speed trains, and it also a weak link the insulation. It to determine insulation status cable terminals by detection results partial discharge signals, but signals field test circuit are mixed with large amount external corona interference, which affects accuracy. This paper proposes signal recognition model that incorporates Stockwell transform (ST) 2DCNN, combination wavelet noise reduction can achieve high-precision...