J. Pan

ORCID: 0000-0002-0664-9199
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About
Contact & Profiles
Research Areas
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Particle Detector Development and Performance
  • Quantum Chromodynamics and Particle Interactions
  • Dark Matter and Cosmic Phenomena
  • Computational Physics and Python Applications
  • Neutrino Physics Research
  • Cosmology and Gravitation Theories
  • Distributed and Parallel Computing Systems
  • Medical Imaging Techniques and Applications
  • Radiation Detection and Scintillator Technologies
  • Atomic and Subatomic Physics Research
  • Astrophysics and Cosmic Phenomena
  • Neural Networks and Applications
  • Video Surveillance and Tracking Methods
  • Neuroscience and Neuropharmacology Research
  • Functional Brain Connectivity Studies
  • Emotion and Mood Recognition
  • Schizophrenia research and treatment
  • Advanced Data Storage Technologies
  • Big Data Technologies and Applications
  • Technology and Data Analysis
  • Black Holes and Theoretical Physics
  • Anomaly Detection Techniques and Applications
  • Viral Infections and Outbreaks Research

Yale University
2020-2025

Rutherford Appleton Laboratory
2024-2025

Royal Holloway University of London
2022-2024

Northern Illinois University
2023-2024

University of Liverpool
2023-2024

Ningbo City College of Vocational Technology
2024

Zhejiang Center for Disease Control and Prevention
2024

University of Jinan
2024

Central Academy of Fine Arts
2024

A. Alikhanyan National Laboratory
2024

In order to improve the attractiveness of social robot serving health interventions in public workspace, we propose a product design method with combination Style-generative adversarial network (StyleGAN) model and particle swarm optimisation-support vector regression (PSO-SVR). This paper aims explore modelling generation robots for intervention based on artificial intelligence generated content (AIGC) mapping between shape characteristics users' visual perception Kansei Engineering (KE)....

10.1080/09544828.2024.2415830 article EN Journal of Engineering Design 2024-10-17

Person-to-person transmission of severe fever with thrombocytopenia syndrome virus (SFTSV) is a new threat to human health. Here we report an outbreak nosocomial person-to-person SFTS. Among eight persons face-to-face contact distance ≤50 cm and/or exposure time ≥30 min the index patient, six became infected. Only one 17 ≥50 and ≤30 infected (75% vs 6.25%, P < 0.001). Epidemiological investigation revealed high viral load, bloody secretions bleeding, time, as key factors in transmission.

10.1016/j.jhin.2021.10.023 article EN cc-by-nc-nd Journal of Hospital Infection 2021-11-09

We show that quantum entanglement between causally separated regions of a nucleon in antineutrino-nucleon scattering manifests itself as thermal component the resulting pion momentum distribution. For antineutrino coherently from (carbon) nucleus whole, this is absent, expected by our thermalization proposition. These phenomena, which have been observed proton-proton collisions at Large Hadron Collider, and electromagnetic deep inelastic scattering, are now for first time shown to exist...

10.1016/j.physletb.2020.135948 article EN cc-by Physics Letters B 2020-11-13

First-episode schizophrenia (FES) is a complex and progressive psychiatric disorder. The etiology of FES involves genetic, environmental, neurobiological factors. This study investigates the association between alterations in structural–functional (SC-FC) coupling transcriptional expression FES. encompassed cohort 214 participants, comprising 111 patients 103 healthy controls (HC). Furthermore, we examined abnormalities within SC-FC their correlations with meta-analytic cognitive terms,...

10.1186/s12916-024-03714-3 article EN cc-by-nc-nd BMC Medicine 2024-10-23

Chemical Communications

10.1039/d4cc90136c article EN cc-by Chemical Communications 2024-01-01

<title>Abstract</title> The deep belief network (DBN) has been widely applied in various fields. However, the traditional DBN low prediction accuracy and it is difficult to determine structure when processing continuous data. To solve these problems, an enhanced (EDBN) based on adaptive particle swarm optimization (APSO) proposed this paper. First, gaussian noise transformation learning theory, a EDBN presented improve of network. Second, APSO with mutation strategy employed optimize...

10.21203/rs.3.rs-5421806/v1 preprint EN cc-by Research Square (Research Square) 2024-12-04

The mystery associated with a proposed Dark Sector of phenomena that are separate from the standard model particle physics is described. A may possess matter particles, force carriers which mediate their interactions, and new interactions symmetries beyond physics. Various approaches for searches described, including those at energy frontier Large Hadron Collider, in astrophysical both terrestrial experiments space-born platforms. Searches using low photons microwave energies cryogenic...

10.3390/sym14112238 article EN Symmetry 2022-10-25
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