A5051874651- Quantum Chromodynamics and Particle Interactions
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Black Holes and Theoretical Physics
- Computational Physics and Python Applications
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Stochastic processes and statistical mechanics
- advanced mathematical theories
- Gaze Tracking and Assistive Technology
- Plant Gene Expression Analysis
- Plant Molecular Biology Research
- Photosynthetic Processes and Mechanisms
- Advanced Memory and Neural Computing
- Pancreatitis Pathology and Treatment
- International Science and Diplomacy
- interferon and immune responses
- Markov Chains and Monte Carlo Methods
- Coding theory and cryptography
- Neural dynamics and brain function
- Advanced Algorithms and Applications
- Pancreatic and Hepatic Oncology Research
- Advanced Algebra and Geometry
- Endoplasmic Reticulum Stress and Disease
- Neutrino Physics Research
Beihang University
2024-2025
General Hospital of Shenyang Military Region
2025
Changhai Hospital
2024
Second Military Medical University
2024
Naval University of Engineering
2024
Beijing Institute of Technology
2021-2023
Fujian Agriculture and Forestry University
2021-2022
Institute of High Energy Physics
2000-2020
Central China Normal University
2017
Chinese Academy of Sciences
2000-2013
We have developed a Monte Carlo generator for simulating charmonium $J/\ensuremath{\psi}$ and $\ensuremath{\psi}(2S)$ inclusive decay. In the model, decay via gluons is described by QCD partonic theory, hadronization handled LUND model. Extended C- G-parity conservation are assumed abnormal suppression effects of included. This model reproduces properties hadronic events in decay, such as branching ratios resonance, stable hadrons radiative products, global events.
Flag leaf senescence is an important biological process that drives the remobilization of nutrients to growing organs rice. Leaf controlled by genetic information via gene expression and histone modification, but precise mechanism as yet unclear. Here, we analysed genome-wide acetylated lysine residue 9 H3 (H3K9ac) enrichment chromatin immunoprecipitation-sequencing (ChIP-seq), examined its association with transcriptomes RNA-seq during flag aging in rice (Oryza sativa). We found H3K9...
Acute pancreatitis is a common critical and acute gastrointestinal disease worldwide, with an increasing percentage of morbidity. However, the gene expression pattern in peripheral blood has not been fully analyzed. In addition, mechanism coronavirus 2019 (COVID-19)-induced investigated. Here, after bioinformatic analysis machine-learning methods data cells validation local patients, two functional modules were identified, S100A6, S100A9, S100A12 validated as predictors severe pancreatitis....
Brain-computer interfaces (BCIs) have been used in two-dimensional (2D) navigation robotic devices, such as brain-controlled wheelchairs and vehicles. However, contemporary BCI systems are driven by binary selective control. On the one hand, only directional information can be transferred from humans to machines, "turn left" or right", which means that quantified value, radius of gyration, cannot controlled. In this study, we proposed a spatial gradient controller corresponding environment...
With the rapid development of internet things (IoT) systems, application potential remote-oriented unmanned aerial vehicle (UAV) in IoT systems is becoming increasingly prominent. Brain-computer interface (BCI)-based UAV can not only leverage natural advantages human brain cognition and response, but also contribute to safer more efficient operations certain special environments. However, BCI still face challenges spatial perception control capabilities. In this study, a...
Objective.Brain-machine interfaces (BMIs) interpret human intent into machine reactions, and the visual stimulation (VS) paradigm is one of most widely used these approaches. Although VS-based BMIs have a relatively high information transfer rate (ITR), it still difficult for to control machines in dynamic environments (for example, grabbing object or targeting walking person).Approach.In this study, we utilized BMI based on augmented reality (AR) VS (AR-VS). The proposed was dynamically...
The brain–computer interface (BCI) technology has received lots of attention in the field scientific research because it can help disabled people improve their quality life. Steady‐state visual evoked potential (SSVEP) is most researched BCI experimental paradigm, which offers advantages high signal‐to‐noise ratio and short training‐time requirement by users. In a complete system, two critical components are paradigm decoding algorithm. However, systematic combination SSVEP algorithms...
Advancements in brain-machine interfaces (BMIs) have led to the development of novel rehabilitation training methods for people with impaired hand function. However, contemporary exoskeleton systems predominantly adopt passive control methods, leading low system performance. In this work, an active brain-controlled is proposed that uses a augmented reality-fused stimulus (AR-FS) paradigm as human-machine interface, which enables users actively their fingers move. Considering AR-FS generates...
In recent years, Rapid development had been made by brain computer interfaces(BCI) technology, providing a new way of communication between people and the outside world. Researchers proposed varied BCI based methods to control Robotic arms, exoskeletons, robotic cars for locomotion. However, most contemporary systems were poor in human-computer interaction user experience. For example, mind-controlled vehicles, controllers would not know location vehicle real time scene. On other hand,...
Motor imagery-based brain computer interface (MI-BCI) using electroencephalogram (EEG) has attracted increasing attention due to its huge application potentials and low cost. However, decoding of MI-EEG signals is a challenging work because signal-to-noise ratio high variability. This study aimed develop an algorithm with performance. Specifically, we applied transfer learning strategy enhance transferability between EEG sessions. As improvement traditional common spatial pattern (CSP)...
Abstract Flag leaf senescence is an important biological process that drives the remobilization of nutrients to growing organs rice. Leaf controlled by genetic information via gene expression and epigenetic modification, but precise mechanism as yet unclear. Here, we analyzed genome-wide acetylated lysine residue 9 histone H3 (H3K9ac) enrichment chromatin immunoprecipitation-sequencing (ChIP-seq) examined its association with transcriptomes RNA-seq during flag aging in rice ( Oryza sativa )....