A5003650283- Visual perception and processing mechanisms
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Gene Regulatory Network Analysis
- Tactile and Sensory Interactions
- Blind Source Separation Techniques
- Soil Carbon and Nitrogen Dynamics
- Bioinformatics and Genomic Networks
- Crop Yield and Soil Fertility
- Neuroscience and Neural Engineering
- Irrigation Practices and Water Management
- Plant-Microbe Interactions and Immunity
- Plant Pathogens and Fungal Diseases
- Mycorrhizal Fungi and Plant Interactions
- Plant nutrient uptake and metabolism
- Gaze Tracking and Assistive Technology
- Microbial Community Ecology and Physiology
- Microbial Metabolic Engineering and Bioproduction
- Heavy metals in environment
- Ophthalmology and Visual Impairment Studies
- Soil and Water Nutrient Dynamics
- Retinal Imaging and Analysis
- Plant Water Relations and Carbon Dynamics
- Cancer-related gene regulation
- Ecosystem dynamics and resilience
Xi'an Jiaotong University
2019-2025
Dalian University of Technology
2025
China Agricultural University
2014-2024
Harbin Medical University
2024
George Washington University
2010-2023
Shandong University
2010
Huazhong University of Science and Technology
2010
Abstract Objective. Steady-state visual evoked potential (SSVEP) is an important control method of the brain–computer interface (BCI) system. The development efficient SSVEP feature decoding algorithm core issue in SSVEP-BCI. It has been proposed to use user training data reduce spontaneous electroencephalogram activity interference on response, thereby improving recognition accuracy signal. Nevertheless, tedious collection process increases mental fatigue and severely affects applicability...
Nowadays, more people tend to go bed late and spend their sleep time with various electronic devices. At the same time, BCI (brain−computer interface) rehabilitation equipment uses a visual display, thus it is necessary evaluate problem of fatigue avoid impact on training effect. Therefore, very important understand using devices in dark environment at night human fatigue. This paper Matlab write different color paradigm stimulations, 4K display an adjustable screen brightness jointly design...
A central challenge in systems biology today is to understand the network of interactions among biomolecules and, especially, organizing principles underlying such networks. Recent analysis known networks has identified small motifs that occur ubiquitously, suggesting larger might be constructed manner electronic circuits by assembling groups these smaller modules. Using a unique process-based approach analyzing networks, we show for two cell-cycle each contains giant backbone motif spanning...
Steady-state visual evoked potential (SSVEP) signal collected from the scalp typically contains other types of electric signals, and it is important to remove these noise components actual by application a pre-processing step for accurate analysis. High-pass or bandpass filtering SSVEP in time domain most common method. Because frequency feature information contained signal, technique frequency-domain was proposed here. In this method, time-domain extended multi-dimensional empirical mode...
Electroencephalogram (EEG) analysis has shown significant research value for brain disease diagnosis, neuromodulation and brain-computer interface (BCI) application. The processing of EEG signals is complex since are nonstationary, nonlinear, often contaminated by intense background noise. Principal component (PCA) independent (ICA), as the commonly used methods multi-dimensional signal feature extraction, still have some limitations in terms performance calculation. In this study, channel...
Objective.This study proposed and evaluated a channel ensemble approach to enhance detection of steady-state visual evoked potentials (SSVEPs).Approach.Collected multi-channel electroencephalogram signals were classified into multiple groups new analysis based on correlation analysis, each group contained from different number electrode channels. These used as the input training-free feature extraction model, obtained coefficients converted probability values using thesoftmaxfunction. The...
Steady-state visual evoked potential (SSVEP) is widely used in electroencephalogram (EEG) control, medical detection, cognitive neuroscience, and other fields. However, successful application requires improving the detection performance of SSVEP signal frequency characteristics. Most strategies to enhance signal-to-noise ratio utilize a spatial filter. Here, we propose method for image filtering denoising (IFD) from perspective analysis, as preprocessing step analysis. Arithmetic mean,...
Objective.Steady-state visual evoked potential (SSVEP) training feature recognition algorithms utilize user data to reduce the interference of spontaneous electroencephalogram activities on SSVEP response for improved accuracy. The collection process can be tedious, increasing mental fatigue users and also seriously affecting practicality SSVEP-based brain-computer interface (BCI) systems.Approach. As an alternative, a cross-subject spatial filter transfer (CSSFT) method existing model with...
Grain yield and quality of wheat are both important components for food security. Great effort has been made in the genetic improvement grain China. However, (i.e., protein concentration quality) received much less attention is often overlooked efforts to improve yield. A timely summary recent process breeding increasing (which can be used guide future strategies) essential but still lacking. This study evaluated on 1908 varieties China over past two decades, from 2001 2020. We found yields...
Sugar beet production is threatened by beetroot rot, which can be triggered consecutive monoculture. Previous studies have shown the beneficial function of microbes affiliated with different plant compartments in inhibiting various pathogens. However, whether sugar root recruit particular at risk rot still unclear. Therefore, this study explored composition and community structure bacteria fungi (endosphere root, rhizosphere, bulk soil) under two farming modes (monoculture rotation). Our...
Objective: Improving the Information Transfer Rate (ITR) is a popular research topic in steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). The higher recognition accuracy of short-time SSVEP signal critical to improving ITR and achieving high-speed SSVEP-BCIs. However, existing algorithms have unsatisfactory performance on recognizing signals, especially for calibration-free methods. Method: This study first time proposed signals based method by extending...
Biological networks play a key role in determining biological function and therefore, an understanding of their structure dynamics is central interest systems biology. In Boolean models such networks, the status each molecule either "on" or "off" along with molecules interact other, individual changes from to vice-versa system network collectively go through sequence state. This termed process. this paper, we examine common perception that events biomolecular occur sequentially, cascade-like...
Brain computer interface (BCI) is a novel communication method that does not rely on the normal neural pathway between brain and muscle of human.It can transform mental activities into relevant commands to control external equipment establish direct pathway.Among different paradigms, steadystate visual evoked potential (SSVEP) widely used due its certain periodicity stability control.However, electroencephalogram (EEG) SSVEP extremely weak companied with multi-scale strong noise.Existing...
SummaryChanges in the severity of pulp browning, endogenous abscisic acid (ABA) and ethylene concentrations, related gene expression peach (Prunus persica L. 'Bayuecui') fruit stored at biological freezing-point temperature (BFT; 1ºC), 4ºC, or room (20ºC; as a control) were investigated.The results showed that climacteric changes ABA concentrations levels corresponding synthetase genes (PpACS1, PpACO1) for key enzyme synthesis (PpNCED), concomitant with significant decrease firmness an...
As a novel form of visual analysis technique, the Poincaré plot has been used to identify correlation patterns in time series that cannot be detected using traditional methods. In this work, based on nonextensive EEG, distribution entropy (NDE) is proposed solve problem insufficient discrimination ability (DE) analyzing fractional Brownian motion with different Hurst indices. More specifically, firstly, reasons for failure DE are analyzed; secondly, view parameter, distance between sector...