Baijie Feng

ORCID: 0009-0002-1549-6080
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About
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Research Areas
  • Magnetic confinement fusion research
  • Artificial Intelligence in Healthcare and Education
  • Fusion materials and technologies
  • Laser-Plasma Interactions and Diagnostics
  • Machine Learning in Healthcare
  • Ionosphere and magnetosphere dynamics
  • Clinical Reasoning and Diagnostic Skills
  • Lung Cancer Research Studies
  • COVID-19 diagnosis using AI
  • Plasma Diagnostics and Applications
  • Particle accelerators and beam dynamics
  • Heart Failure Treatment and Management
  • Superconducting Materials and Applications
  • Lung Cancer Diagnosis and Treatment
  • Innovations in Medical Education
  • Healthcare cost, quality, practices
  • Glioma Diagnosis and Treatment
  • Neuroendocrine Tumor Research Advances
  • Cancer Immunotherapy and Biomarkers
  • Lung Cancer Treatments and Mutations
  • Cancer therapeutics and mechanisms
  • Brain Metastases and Treatment
  • Genomics and Rare Diseases

Sichuan University
2023-2024

Southwestern Institute of Physics
2009-2023

ChatGPT (OpenAI), a cutting-edge natural language processing model, holds immense promise for revolutionizing medical education. With its remarkable performance in language-related tasks, offers personalized and efficient learning experiences students doctors. Through training, it enhances clinical reasoning decision-making skills, leading to improved case analysis diagnosis. The model facilitates simulated dialogues, intelligent tutoring, automated question-answering, enabling the practical...

10.2196/52483 article EN cc-by JMIR Medical Education 2024-04-10

Rare and complex diseases pose significant challenges to both patients healthcare providers. These conditions often present with atypical symptoms, making diagnosis treatment a formidable task. In recent years, artificial intelligence natural language processing technologies have shown great promise in assisting medical professionals diagnosing managing such conditions. This paper explores the role of ChatGPT, an advanced model, improving rare diseases. By analyzing its potential...

10.3389/frai.2024.1338433 article EN cc-by Frontiers in Artificial Intelligence 2024-01-11

Significant experimental advances have been made on the HL-2A tokamak along with substantial improvement and development of hardware. A spontaneous particle transport barrier has observed in Ohmic discharges without any external momentum input. The was evidenced by a density perturbation study using modulated supersonic molecular beam injection (SMBI) microwave reflectometry. new features non-local effect induced SMBI analysed. three-dimensional spectral structures low frequency zonal flow,...

10.1088/0029-5515/49/10/104012 article EN Nuclear Fusion 2009-09-09

The physics experiments on the HL-2A tokamak have been focused confinement improvement, particle and thermal transport, zonal flow turbulence, filament characteristics, energetic induced modes plasma fuelling efficiency since 2008. ELMy H-mode discharges are achieved in a lower density regime using combination of NBI heating with ECRH. power threshold is found to increase decrease density, almost independent launching order ECRH power. pedestal profiles measured. outward convection observed...

10.1088/0029-5515/51/9/094016 article EN Nuclear Fusion 2011-08-31

Abstract The evolutions of MHD instability behaviors and enhancement both electrostatic electromagnetic turbulence towards the plasma disruption have been clearly observed in HL-2A plasmas. Two types disruptive discharges investigated for similar equilibrium parameters: one with a distinct stage small central temperature collapse ( $$\sim$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>∼</mml:mo> </mml:math> 5–10%) around 1 millisecond before thermal quench (TQ), while...

10.1038/s41598-023-31304-5 article EN cc-by Scientific Reports 2023-03-23

The penetration characteristics of supersonic molecular beam injection (SMBI) have been studied on the HL-2A tokamak. signals from tangential D α array and CCD camera clearly show that SMBI low field side consists a slow component (SC) fast (FC) because small percentage H 2 present in reservoir. FC can penetrate more deeply than SC, e.g. 8.5 cm inside last closed flux surface, while SC is around 4 cm. depth weakly dependent plasma parameters before its backing pressure. Fuelling efficiency...

10.1088/0029-5515/50/3/035009 article EN Nuclear Fusion 2010-03-01

Abstract Features of high fuelling efficiency supersonic molecular beam injection (SMBI) are studied on the HL-2A tokamak. Normalized by fuelled particle inventory, D α emission induced SMBI is about 50% higher than that gas puffing (GP), indicating a percentage fuel injected will enter plasma. Strong convection (inward pinch) observed with hydrogen cyanide (HCN) interferometer as densities from core and edge channels increase decrease, respectively, in post-fuelling phase. In addition,...

10.1088/0029-5515/52/8/082001 article EN Nuclear Fusion 2012-07-04

<sec> <title>UNSTRUCTURED</title> ChatGPT (OpenAI), a cutting-edge natural language processing model, holds immense promise for revolutionizing medical education. With its remarkable performance in language-related tasks, offers personalized and efficient learning experiences students doctors. Through training, it enhances clinical reasoning decision-making skills, leading to improved case analysis diagnosis. The model facilitates simulated dialogues, intelligent tutoring, automated...

10.2196/preprints.52483 preprint EN 2023-09-05
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