A5039207490- Membrane Separation and Gas Transport
- Fuel Cells and Related Materials
- Catalysts for Methane Reforming
- High-Voltage Power Transmission Systems
- Machine Fault Diagnosis Techniques
- Thermal Radiation and Cooling Technologies
- Membrane Separation Technologies
- Anomaly Detection Techniques and Applications
- Smart Grid and Power Systems
- Radiative Heat Transfer Studies
- Rheology and Fluid Dynamics Studies
- Advanced X-ray and CT Imaging
- Membrane-based Ion Separation Techniques
- Computational Physics and Python Applications
- Hepatocellular Carcinoma Treatment and Prognosis
- Time Series Analysis and Forecasting
- Biomedical Text Mining and Ontologies
- Urban Heat Island Mitigation
- Cyclone Separators and Fluid Dynamics
- Heat transfer and supercritical fluids
- Radiomics and Machine Learning in Medical Imaging
China Three Gorges University
2024
Yangtze University
2024
Soochow University
2021
First Affiliated Hospital of Soochow University
2021
Presently, excessive carbon dioxide emissions represent a critical environmental challenge. Thus, urgent efforts are required to develop environmentally friendly and low-energy technologies for treatment. In this case, membrane separation technology stands out as promising avenue CO2 separation, with selective materials of high permeability playing pivotal role in process. Herein, we categorize membranes into three groups: inorganic membranes, organic emerging membranes. Moreover,...
Abstract To solve problems such as inadequate proppant carrying capacity, a complex viscosity changing process, and limited environmental friendliness associated with traditional slick water fracturing fluids, variable friction reducer called Jianghan (JHFR) low damage, high drag reduction, strong proppant‐carrying capacity is prepared by inverse emulsion polymerization. The properties of JHFR are investigated viscometer, JHFR‐II high‐temperature high‐pressure reduction rate tester, surface...
Background: Liver cancer ranks as the fifth most common malignant tumor and second fatal in our country. Early diagnosis is crucial, necessitating that physicians identify liver patients at earliest possible stage. However, diagnostic process complex demanding. Physicians must analyze a broad spectrum of patient data, encompassing physical condition, symptoms, medical history, results from various examinations tests, recorded both structured unstructured formats. This significant workload...
Objective: To explore the value of machine learning models in preoperative prediction microvascular invasion (MVI) hepatocellular carcinoma (HCC) based on dual-phase contrast-enhanced CT radiomics features. Methods: The data 148 patients [106 males and 42 females, with an average age (58±11) years] HCC confirmed by pathology First Affiliated Hospital Soochow University from January 2015 to May 2020 were retrospectively analyzed, including 88 cases positive MVI 60 negative MVI. According...