A5105517712- 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
- Atomic and Molecular Physics
- Cosmology and Gravitation Theories
- Mass Spectrometry Techniques and Applications
- Advanced Chemical Physics Studies
- Medical Imaging Techniques and Applications
- AI in cancer detection
- Cutaneous Melanoma Detection and Management
- Distributed and Parallel Computing Systems
- Ion-surface interactions and analysis
- Radiation Detection and Scintillator Technologies
- Cold Atom Physics and Bose-Einstein Condensates
- Radiation Therapy and Dosimetry
- Atomic and Subatomic Physics Research
- IoT and Edge/Fog Computing
- Laser-Matter Interactions and Applications
- Cell Image Analysis Techniques
- Neural Networks and Applications
- Quantum and Classical Electrodynamics
Yanshan University
2025
Nanjing Foreign Language School
2025
University of Glasgow
2024-2025
University of Science and Technology of China
2024-2025
University of Manchester
2023-2024
University of Oxford
2021-2024
Institute for High Energy Physics
2023-2024
Institute of Science and Technology
2023-2024
University of Geneva
2023-2024
Northwestern Polytechnical University
2024
Abstract Bionic neural devices often feature complex structures with multiple interfaces, requiring extensive post‐processing. In this paper, a device intrinsic perception and decision‐making (NDIPD), inspired by neuronal oscillatory activity is introduced. The utilizes alternating signals generated coupling the human body power‐frequency electromagnetic field as both signal source energy source, mimicking activity. peaks valleys of are differentially modulated to replicate baseline shift...
Deep neural networks have demonstrated promising performance on image recognition tasks. However, they may heavily rely confounding factors, using irrelevant artifacts or bias within the dataset as cue to improve performance. When a model performs decision-making based these spurious correlations, it can become untrustable and lead catastrophic outcomes when deployed in realworld scene. In this paper, we explore try solve problem context of skin cancer diagnosis. We introduce...
Guqin has a history of more than 3,000 years. According to legend, it is one the oldest harpsichord music in China and China's intangible cultural heritages. It not only favorite literati, but also contains rich social values. However, now influence been negligible gradually faded out People's daily life, so urgent protect culture. This paper studies historical background comparison between ancient modern development puts forward some methods promote Guqin. first introduces Guqin, starting...
An experimental investigation of the breakup ${(\mathrm{C}{\mathrm{O}}_{2})}^{3+}$ induced by $\mathrm{N}{\mathrm{e}}^{4+}$ ion impact at incident energies 1.12 MeV was performed. By analyzing momentum distributions and kinetic three fragment ions, nonsequential sequential dissociation mechanisms are verified. In contrast to highly charged impact, two different decay pathways were observed in present experiment. One pathway originates from primary cation populated into...
We report an experimental observation of the interatomic Coulombic decay (ICD) and radiative charge-transfer (RCT) processes in a Ne dimer $(e,2e)$ following 380-eV electron impact. By detecting $\mathrm{N}{\mathrm{e}}^{+}\ensuremath{-}\mathrm{N}{\mathrm{e}}^{+}$ cation pair one emitted electrons coincidence, fingerprint ICD process initiated by inner-valence ionization is obtained. Furthermore, results ab initio calculations together unambiguously confirm occurrence RCT process, we show...
Phases of quantum transition amplitudes contain very important information about physical processes. However, as a rule, they may not be accessed experimentally. This is, in particular, the case when collisions ions and atoms are studied. In this rapid communication, we explore double-electron capture $\ensuremath{\alpha}$ particles with CO molecules. Regarding atomic cores molecule two ``slits,'' show that ``double-slit'' interference can exploited to experimentally extract phases...
We experimentally studied the dissociation dynamics of a highly charged ${\text{Ar}}_{3}$ cluster initiated by high-energy electron. The patterns correlated ions from two-body and three-body Coulombic explosion (CE) (${\text{Ar}}_{3}$)${}^{2+}$ suggest that predissociation alters evolution radiative charge transfer. CE in (${\text{Ar}}_{3}$)${}^{4+}$ (${\text{Ar}}_{3}$)${}^{5+}$ is driven, after double ionization one constituent Ar atom, single with simultaneous interatomic decay process.
The momentum distributions of the recoil ions were measured for single ionization atomic targets (Ne, Ar) and molecular (CH${}_{4}$, N${}_{2}$, CO${}_{2}$) at incident electron energies ranging from 80 to 220 eV by using reaction microscope. It was found that there are a remarkable number with large longitudinal momenta, relative contribution these Ne ($e$, 2$e$) reactions decreases faster than Ar energy increasing. This observed feature can be qualitatively interpreted different effective...
A new kind of radiotherapy scheme based on the resonant Auger--interatomic Coulombic decay mechanism (RA ICD) was proposed in work Gokhberg et al. [Nature 505, 661 (2014)], which may effectively reduce overall radiation dose traditional x-ray radiotherapy. An electron produced this carries most energy primary photon. Through present experiment using an energetic impact a NeAr dimer, we demonstrate that three processes, namely, interatomic triggered by Ne $2s$ ionization, ICD...
The symmetric orbital angular momentum (OAM) entanglement in the subspace of { ± ℓ} has been extensively exploited quantum information science. Here we investigate instead Bell inequalities for two-dimensional spanned by asymmetric OAM modes ℓ 1 and 2 , usually corresponding to property nonmaximal entanglement. We demonstrate, both theoretically experimentally, optimal violation a suitable Clauser-Horne-Shimony-Holt inequality modes, thus manifesting states space.
Long-tailed learning is considered to be an extremely challenging problem in data imbalance learning. It aims train well-generalized models from a large number of images that follow long-tailed class distribution. In the medical field, many diagnostic imaging exams such as dermoscopy and chest radiography yield distribution complex clinical findings. Recently, image analysis has garnered significant attention. However, field currently lacks unified, strictly formulated, comprehensive...
A frequency-hopping communication receiver based on Rydberg atoms, whose carrier frequency changes in accordance with a predetermined sequence, is proposed for what we believe to be the first time and experimentally verified. Based coherent population trapping (CPT) effect of five-level system built under assumption constant laser wavelength, where resonance band corresponding different separated quantum states. Pseudo-random binary sequence (PRBS) complex image signals undergo keying...
Deep learning models for medical image analysis easily suffer from distribution shifts caused by dataset artifacts bias, camera variations, differences in the imaging station, etc., leading to unreliable diagnoses real-world clinical settings. Domain generalization (DG) methods, which aim train on multiple domains perform well unseen domains, offer a promising direction solve problem. However, existing DG methods assume domain labels of each are available and accurate, is typically feasible...
Deep learning-based diagnostic systems have demonstrated potential in skin disease diagnosis. However, their performance can easily degrade on test domains due to distribution shifts caused by input-level corruptions, such as imaging equipment variability, brightness changes, and image blur. This will reduce the reliability of model deployment real-world scenarios. Most existing solutions focus adapting source through retraining different target domains. Although effective, this process is...
In this paper, we introduce the concepts of short arc and length map in quasihyperbolic metric spaces, obtain some geometric characterizations Gromov hyperbolicity for spaces terms properties map.