- Geological and Geophysical Studies
- earthquake and tectonic studies
- Seismic Imaging and Inversion Techniques
- Geological formations and processes
- Methane Hydrates and Related Phenomena
- High-pressure geophysics and materials
- Hydrocarbon exploration and reservoir analysis
- Geological and Geochemical Analysis
- Geological Studies and Exploration
- Fuel Cells and Related Materials
- Corporate Finance and Governance
- Advancements in Solid Oxide Fuel Cells
- Seismic Waves and Analysis
- Global Financial Crisis and Policies
- Geomagnetism and Paleomagnetism Studies
- Hydraulic Fracturing and Reservoir Analysis
- Banking stability, regulation, efficiency
- Geological Modeling and Analysis
- Carbon Dioxide Capture Technologies
- Economic, financial, and policy analysis
- Advanced Image Fusion Techniques
- Brain Tumor Detection and Classification
- Neonatal and fetal brain pathology
- Healthcare Systems and Reforms
- Medical Image Segmentation Techniques
Chinese Academy of Sciences
2007-2025
University of Chinese Academy of Sciences
2006-2025
Shanghai Institute of Technical Physics
2024-2025
GEOMAR Helmholtz Centre for Ocean Research Kiel
2021-2025
Shanghai Jiao Tong University
2024
Fuzhou University
2024
Beijing Academy of Artificial Intelligence
2023
PetroChina Southwest Oil and Gas Field Company (China)
2023
Duke Kunshan University
2023
China National Petroleum Corporation (China)
2023
Fetal brain tissue segmentation is essential for quantifying the presence of congenital disorders in developing fetus. Manual fetal cumbersome and time-consuming, so using an automatic method can greatly simplify process. In addition, undergoes a variety changes throughout pregnancy, such as increased volume, neuronal migration, synaptogenesis. this case, contrast between tissues, especially gray matter white matter, constantly increasing complexity difficulty our segmentation. To reduce...
Abstract Structural magnetic resonance imaging (MRI) provides useful information for biomarker exploration and intelligent classification of Alzheimer's disease (AD). Machine learning deep methods have been used in feature extraction computer‐aided diagnosis or prediction AD. In this research, a new model is developed to detect predict AD an effective manner. A modified 3D EfficientNet with sequentially connected mobile inverted bottleneck convolution (MBConv) block proposed explore the...
Infrared small-target detection plays a crucial role in applications such as public safety monitoring. However, it faces significant challenges due to the loss of target features, which weakens performance. To tackle this problem, study proposes an improved infrared model based on YOLOv8n. First, Dual-Path Fusion Downsampling Convolution (WFDC) module enhances backbone network’s ability extract fine-grained features targets, preventing image details depth convolutional neural network...
The subduction of oceanic plateaus is a global phenomenon that reshapes the tectonic configuration systems and plays crucial role in water cycling volatile fluxes. While previous studies have primarily focused on processes occurring after into zones, but effects subducting bending hydration before remain unclear. Using wide-angle seismic data perpendicular to trench, we investigated these as Caroline Plateau approaches trench. P-wave velocity structure shows gradual increase crustal...
Along-strike heterogeneity of pre-existing Mesozoic structures have caused different rift-to-drift features from east to west the South China Sea (SCS). The southwestern margins undergone prolonged extension and propagating seafloor spreading, leading crustal significantly northeastern SCS margin. geodynamic mechanism termination spreading in is still enigmatic.In this study, we present a ~780 km long P-wave velocity model across two conjugate continental oceanic basin at tip wide-angle...
Abstract The southern Mariana subduction zone, home to the Challenger Deep—the deepest known point on Earth—poses significant challenges for studying hydration of subducting plate due its extreme depth. This study uses S‐wave seismic tomography and V p / s ratios investigate serpentinization at Deep. We observe a low layer in upper mantle with exceeding 1.8, reaching up 1.95 Moho. These high indicate strong serpentinized (>15 vol%) changes mechanical properties peridotite. Additionally,...
Conventional computer-aided diagnostic techniques for Alzheimer's disease (AD) predominantly rely on magnetic resonance imaging (MRI) in isolation. Genetic methods, by establishing the link between genes and brain structures progression, facilitate early prediction of AD development. While deep learning methods based MRI have demonstrated promising results diagnosis, limited dataset size has led most studies to lean statistical approaches within realm genetics. Existing deep-learning...
To achieve rapid distance estimation and tracking of moving targets in a large field view, this paper proposes an innovative simulation method. Using low-cost approach, the imaging measurement performance designed cooling-type mid-wave infrared compound-eye camera (CM-CECam) is experimentally evaluated. The consists small-lens array with spherical shell, relay optical system, detector. Based on spatial arrangement array, precise model for developed, constructing virtual space. Distance error...
Abstract The continental margins of the South China Sea (SCS) have undergone episodic rifting since Cenozoic, and there are ongoing debates surrounding processes crustal deformation seafloor opening. In this work, we present a P ‐wave velocity model extending from north Xisha Trough to Zhongshanan Basin in northwestern SCS margin, using ocean bottom seismometer data wide‐angle seismic profile OBS2013‐1. results show that crust thins symmetrically across western Trough, more than ∼20 km at...
Using A-share listed companies in Shanghai and Shenzhen from 2015 to 2021 as the research sample, a fixed-effects model was used examine effect of reduction corporate tax burden on investment efficiency under policy, well role avoidance financing constraints mechanism. The results study show that can effectively improve investment, this positive is reflected alleviation under-investment discouragement over-investment. paper also analyses mechanism through which affects finds discourage...
Abstract A novel sulfonated diamine monomer, 2,2′‐bis( p ‐aminophenoxy)‐1,1′‐binaphthyl‐6,6′‐disulfonic acid (BNDADS), was synthesized. series of polyimide copolymers containing 30–80 mol % BNDADS as a hydrophilic component were prepared. The showed excellent solubility and good film‐forming capability. Atomic force microscopy phase images clearly hydrophilic/hydrophobic microphase separation. relationship between the proton conductivity degree sulfonation examined. copolymer with 60 higher...
Abstract At non‐volcanic passive continental margins, seismic techniques often failed to uniquely define the nature of crustal domains. Here, we overcome this problem by studying structure and composition continent‐ocean transition (COT) in Southwest Sub‐basin South China Sea, using P S wave tomography V p / s ratios, providing unique constraints on lithology. Throughout image domain, can rule out large areas exhumed mantle as ratios are always <1.9 shallow basement layer. Instead, COT is...
Abstract A series of sulfonated polyimides (SPIs) containing pyridine ring in the polymer backbone were synthesized by polycondensation 1,4,5,8‐naphthalene‐tetracarboxylic dianhydride (NTDA), 5‐(2,6‐bis(4‐aminophenyl)pyridin‐4‐yl)‐2‐methoxy benzene sulfonic acid (SDAM), and 4,4′‐diaminodiphenyl ether (ODA). Flexible, transparent, tough membranes obtained. Property study revealed that all displayed high thermal stability with desulfonation decomposition temperature higher than 290 540°C,...
Introduction Secondary prevention of stroke is a leading challenge globally and only few strategies have been tested to be effective in supporting survivors. The system-integrated technology-enabled model care (SINEMA) intervention, primary care-based care, has proven strengthening the secondary rural China. aim this protocol outline methods for cost-effectiveness evaluation SINEMA intervention better understand its potential economic benefits. Methods will nested study based on trial;...