A5115594585- Radiomics and Machine Learning in Medical Imaging
- Seed Germination and Physiology
- Advanced Sensor and Control Systems
- Acoustic Wave Phenomena Research
- Mineral Processing and Grinding
- Ionic liquids properties and applications
- Plant Stress Responses and Tolerance
- Natural Language Processing Techniques
- Structural Health Monitoring Techniques
- Image Processing and 3D Reconstruction
- Vehicle Noise and Vibration Control
- Topic Modeling
- Advanced Algorithms and Applications
- Topology Optimization in Engineering
- Pituitary Gland Disorders and Treatments
- Lymphoma Diagnosis and Treatment
- Anomaly Detection Techniques and Applications
- Advanced Text Analysis Techniques
- Evaluation and Optimization Models
- Environmental and Sediment Control
- Photosynthetic Processes and Mechanisms
- Advanced Computational Techniques and Applications
- Aeroelasticity and Vibration Control
- Advanced Decision-Making Techniques
- Modeling, Simulation, and Optimization
Sichuan University
2022-2025
West China Hospital of Sichuan University
2022-2025
Beijing University of Technology
2025
Peking University
2025
Nanjing Agricultural University
2024
Xi'an Technological University
2024
Fujian Normal University
2024
Huazhong University of Science and Technology
2022-2023
ABSTRACT Background Ki‐67 labeling index (Ki‐67 LI) is a proliferation marker that correlated with aggressive behavior and prognosis of pituitary adenomas (PAs). Dynamic contrast‐enhanced MRI (DCE‐MRI) may potentially contribute to the preoperative assessment LI. Purpose To investigate feasibility assessing LI PAs preoperatively using delta‐radiomics based on DCE‐MRI. Study Type Retrospective. Population 605 PA patients (female = 47.1%, average age 52.2) from two centers (high (≥ 3%) 229;...
ABSTRACT The fundamental period is a crucial parameter in structural dynamics that informs the design, assessment, and monitoring of structures to ensure safety stability buildings during earthquakes. Numerous machine‐learning deep‐learning approaches have been proposed predict infill‐reinforced concrete frame structures. However, challenges remain, including insufficient prediction accuracy excessive computational resource demands. This study aims provide new paradigm for accurately...
Abstract Rock classification is critical in geological research and geoscience applications. Traditional methods rely heavily on manual expertise, which makes them susceptible to human errors due their reliance individual skills experience. Although current machine learning models have mitigated some drawbacks by classifying rock images, generalization predictive performance are limited suboptimal network structures, image data quality, quantity. These also require feature extraction,...
Digital currencies, as a novel form of payment, have had substantial influence on the banking sector, cross-border transactions, and global monetary system. This study primarily examines progress digital money by focusing traditional cryptocurrencies central bank currency. The focuses analyzing factors that price bitcoin. bitcoin is considered dependent variable, while Consumer Price Index (CPI), exchange rate, stock index are chosen independent variables representing domestic,...
ABSTRACT Exogenous melatonin (MT) can aid crops in mitigating drought stress, yet its impacts on cotton pollen fertility under remain understudied. To address this, a study the effects of exogenous MT sterility and internal physiological metabolism stress was conducted. Results showed that although antioxidant enzymes catalase (CAT), peroxidase (POD) superoxide dismutase (SOD) activities increased drought‐stressed anthers, this insufficient to balance reactive oxygen species (ROS) levels,...
The hinge and suction dredger is widely used in the construction field such as river lake management, water dredging, port infrastructure projects, etc. With continuous development of modern dredging technology, traditional cannot adapt to complex environment during process there are problems large energy consumption over-excavation leakage excavation. In this paper, a double cutter was designed that has wider adaptability than single dredger. At same time, based on principle passive...
The escalating reliance on fossil fuels has intensified CO2 emissions, presenting significant environmental challenges. Electrocatalytic reduction offers a dual solution by converting into valuable chemicals, but complex mechanisms limit selectivity and efficiency. This study introduces nitrogen-doped carbon catalyst, JGNC, synthesized via pyrolysis with predominantly pyrrolic N (8.18% content). JGNC catalysts achieved current density of −770 mA·cm−2 at −1.2 V (V as. RHE) CO 96.55% −1.1 vs....
Active control of structural modal vibration is an effective strategy to enhance the sound quality cabs in commercial vehicles. However, accurate determination positioning and quantity active sensors actuators crucial for with intricate structures, owing presence multiorder modes their coupling. The study presented herein focuses on cab a vehicle contemplates features irregular large-space structure cab. By capitalizing frequency mode shape cab, utilizing piezoelectric principle energy as...