A5100610173- Underwater Acoustics Research
- Underwater Vehicles and Communication Systems
- stochastic dynamics and bifurcation
- Geophysical Methods and Applications
- Speech and Audio Processing
- Target Tracking and Data Fusion in Sensor Networks
- Microwave Imaging and Scattering Analysis
- Nonlinear Dynamics and Pattern Formation
- Diffusion and Search Dynamics
- Ultrasonics and Acoustic Wave Propagation
- Oceanographic and Atmospheric Processes
- Black Holes and Theoretical Physics
- Optical Coatings and Gratings
- Cosmology and Gravitation Theories
- Acoustic Wave Phenomena Research
- Seismic Imaging and Inversion Techniques
- Neural dynamics and brain function
- Indoor and Outdoor Localization Technologies
- Noncommutative and Quantum Gravity Theories
- Probabilistic and Robust Engineering Design
- Blind Source Separation Techniques
- Photonic and Optical Devices
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Glioma Diagnosis and Treatment
- Cyclone Separators and Fluid Dynamics
Zhejiang University
2016-2025
Qingdao University of Science and Technology
2010-2025
Sanya University
2022-2024
Shandong University of Technology
2024
China University of Petroleum, East China
2024
Jining Medical University
2023
Qufu Normal University
2023
Zhengzhou Railway Vocational & Technical College
2023
People’s Hospital of Rizhao
2023
Northwest University
2021
// Jinquan Cai 1, 7, * , Ping Zhu 4, Chuanbao Zhang 2, 3, Qingbin Li 7 Zhiliang Wang Guanzhang Guangzhi Pei Yang Jianlong Bo Han Chuanlu Jiang Ying Sun Tao 5, 6, 1 Department of Neurosurgery, The Second Affiliated Hospital Harbin Medical University, Harbin, China 2 Beijing Neurosurgical Institute, Capital Beijing, 3 Tiantan Hospital, 4 Otolaryngology, Union Tongji College, Huazhong University Science and Technology, Wuhan, 5 Institute for Brain Disorders Tumor Center, 6 National Clinical...
Glioma metastasis, invasion, epithelial-mesenchymal transition (EMT) and chemoresistance indicate poor prognosis. Accumulating evidence reveals that Notch1 is an important factor in tumour progression. However, the role of glioma EMT associated microRNAs (miRNAs) with Notch pathway remain controversial.Utilizing cBioPortal database to examine gene signature NOTCH1 (encoding Notch1), CDH2 N-cadherin) SNAI1 Snail-1) disease-free survival (DFS) overall (OS). We analyzed expression from...
Melanoma, a highly aggressive skin cancer, is characterized by its strong metastatic potential and resistance to standard treatments. Recent cancer research has emphasized the significance of exosomes, type extracellular vesicle particle, in mediating cell-to-cell communication driving tumor progression. Melanoma-derived exosomes contribute metastasis facilitating immune evasion, modulating microenvironment, inducing epithelial-to-mesenchymal transition. The exosomal cargos, including...
Basis function learning is the stepping stone towards effective three-dimensional (3D) sound speed field (SSF) inversion for various acoustic signal processing tasks, including ocean tomography, underwater target localization/tracking, and communications. Classical basis functions include empirical orthogonal (EOFs), Fourier functions, their combinations. The unsupervised machine method, e.g., K-singular value decomposition (K-SVD) algorithm, has recently tapped into design, showing better...
Uncertainties abound in sound speed profiles (SSPs) measured/estimated by modern ocean observing systems, which impede the knowledge acquisition and downstream underwater applications. To reduce SSP uncertainties draw insights into specific processes, an interpretable deep dictionary learning model is proposed to cater for uncertain processing. In particular, two kinds of are considered: measurement errors, generally exist form Gaussian noises; disturbances/anomalies caused potential...
The probability distribution of three-dimensional sound speed fields (3D SSFs) in an ocean region encapsulates vital information about their variations, serving as valuable data-driven priors for SSF inversion tasks. However, learning such a is challenging due to the high dimensionality and complexity 3D SSFs. To tackle this challenge, we propose employing diffusion model, cutting-edge deep generative model that has showcased remarkable performance diverse domains, including image audio...
The paper presents a numerical method of realizing stochastic resonance (SR) by tuning system parameters. Firstly, simple and effective evaluating the response speed λ1 is introduced. Then parameter-induced SR problem can be reduced to parameter optimization under condition = const. To solve this problem, we put forward following techniques: (i) compensate deviation from prescribed at each step, (ii) take curve length increment on plane as step size in searching maximal signal-to-noise ratio...
Reconstructing ocean sound speed field (SSF) from limited and noisy measurements/estimates is crucial for many acoustic applications, including underwater tomography, target localization/tracking, communications. Classical reconstruction methods include deterministic approaches (e.g., spline interpolation) geostatistical kriging). They exhibit a strong link to linear regression Gaussian process in machine learning (ML) literature, by uniformly viewing them as supervised models that learn the...
Accurately reconstructing a three-dimensional (3D) ocean sound speed field (SSF) is essential for various acoustic applications, but the sparsity and uncertainty of samples across vast region make it challenging task. To tackle this challenge, large body reconstruction methods has been developed, including spline interpolation, matrix/tensor-based completion, deep neural networks (DNNs)-based reconstruction. However, principled analysis their effectiveness in 3D SSF still lacking. This paper...
The Rapidly-exploring Random Tree (RRT) algorithm faces issues in path planning, including low search efficiency, high randomness, and suboptimal quality. To overcome these issues, this paper proposes an improved RRT planning based on vehicle lane change trajectory data. This dynamically adjusts the sampling area road environment laws, allowing random tree to sample within effective area, thereby improving algorithm’s efficiency. After determining a point optimization strategy is used...
Time-reversal processing (TRP) has been intensively studied for underwater object detection, however, most of the current research focuses on demonstration concept and development methods. This paper concerns application TRP to improving detection performance multidimensional signals from statistical signal perspective. Two commonly used time-reversal (TR) methods, iterative (ITR) decomposition operator (DORT), are considered, probability given false-alarm is as measure. The optimal...
Underwater gliders travel through the ocean by buoyancy control, which makes their motion silent and involves low energy consumption. Due to those advantages, numerous studies on underwater acoustics have been carried out using different acoustic payloads developed. This paper aims illustrate use of in observation target detection experimental data from two sea trials. Firstly, self-noise glider is analyzed its feasibility as an sensing platform. Then, ambient noises collected depths are...
Track-before-detect technology is a powerful for detection and tracking of targets with low signal-to-noise ratios (SNRs). The paper presents method underwater the combination particle filter track-before-detect method. It uses standard particle-filter based on scheme, taking percentage alive particles as target existence probability weighted mean particles' states results. measurements here are data collected by vertical line array instead strength used in common conditions. simulation...
The last decade has witnessed revolutionary advances taken in immunotherapy for various malignant tumors. However, immune-related molecules and their characteristics the prediction of clinical outcomes response clear cell renal carcinoma (ccRCC) remain largely unclear. C-C Motif Chemokine Ligand 4 (CCL4) was extracted from intersection analysis common differentially expressed genes (DEGs) four microarray datasets Gene Expression Omnibus database gene lists ImmPort using Cytoscape plug-ins...