A5101989553- EEG and Brain-Computer Interfaces
- Psoriasis: Treatment and Pathogenesis
- T-cell and B-cell Immunology
- Anomaly Detection Techniques and Applications
- Time Series Analysis and Forecasting
- Rheumatoid Arthritis Research and Therapies
- Autoimmune and Inflammatory Disorders Research
- Imbalanced Data Classification Techniques
- Remote Sensing and Land Use
- Immune Cell Function and Interaction
- Functional Brain Connectivity Studies
- Non-Invasive Vital Sign Monitoring
- Categorization, perception, and language
- Toxin Mechanisms and Immunotoxins
- Software Reliability and Analysis Research
- Software Engineering Research
- Language, Metaphor, and Cognition
- Balance, Gait, and Falls Prevention
- Emotion and Mood Recognition
- Brain Tumor Detection and Classification
- Statistical and numerical algorithms
- AI and Big Data Applications
- Spectroscopy and Chemometric Analyses
- Educational Technology and Pedagogy
- Advanced Vision and Imaging
Hebei University
2020-2025
Civil Aviation Management Institute of China
2024
Liaocheng University
2023-2024
Wuhan University
2013-2023
Nottingham Trent University
2023
SingHealth
2023
Monash University Malaysia
2023
University of Glasgow Singapore
2023
Singapore Polytechnic
2023
National University Hospital
2015-2023
Affective computing is one of the key technologies to achieve advanced brain-machine interfacing. It increasingly concerning research orientation in field artificial intelligence. Emotion recognition closely related affective computing. Although emotion based on electroencephalogram (EEG) has attracted more and attention at home abroad, subject-independent still faces enormous challenges. We proposed a algorithm dynamic empirical convolutional neural network (DECNN) view Combining advantages...
Software defect prediction (SDP) exerts a major role in software development, concerning reducing costs and ensuring quality. However, developing an accurate SDP model is still severe challenging task with the lack of training data. Fortunately, Siamese networks are powerful for learning few samples have been perfectly used other fields. This paper explores advantages to propose novel model, dense neural (SDNNs), which integrates similarity feature distance metric into unified approach. It...
Aim Interleukin (IL)-22 regulates the pathogenesis of autoimmune diseases. The role IL-22+ T-cells in rheumatoid arthritis (RA) is unclear. This study aimed at examining levels plasma IL-22 and frequency CD4+ patients with RA. Methods A total 30 RA 18 gender- age-matched healthy controls were recruited. Their peripheral blood mononuclear cells isolated stimulated phorbol 12-myristate 13-acetate (PMA) ionomycin for 6 h. IL-22+, interferon (IFN)-γ+ IL-17A+ was characterized by flow cytometry....
As one of the key technologies emotion computing, recognition has received great attention. Electroencephalogram (EEG) signals are spontaneous and difficult to camouflage, so they used for in academic industrial circles. In order overcome disadvantage that traditional machine learning based technology relies too much on a manual feature extraction, we propose an EEG algorithm 3D fusion convolutional autoencoder (CAE). First, differential entropy (DE) features different frequency bands fused...
Interleukin-22 (IL-22) is a regulator of autoimmune diseases. However, the role IL-22(+)CD4(+) T-cells in pathogenesis systemic lupus erythematosus (SLE) remains unclear. This study aimed at elucidating potential IL-22 and patients with SLE. A total 22 freshly diagnosed SLE 18 age-/gender-matched healthy controls (n = 18) were evaluated for frequency different types IL-22-producing CD4(+) by flow cytometry analysis following vitro stimulation. The concentrations plasma IL-22, IL-17A, IFNγ,...
Abstract T cells are key players in immune-mediated rheumatoid arthritis (RA). We previously reported that interleukin (IL)-22 + CD4 helper (IL-22 Th) and IL-22 critically control the pathogenesis of RA. Here we monitored circulating levels different Th cell subsets measured plasma IL-22, IL-17, interferon (IFN)-γ 60 patients with active RA following 12-week combination methotrexate (MTX) leflunomide (LEF) therapy (MTX+LEF) 20 healthy individuals. found frequencies IFN-γ − IL-17 (Th22),...
At present, artificial intelligence has developed rapidly and been increasingly used in teaching, which brought about earth-shaking changes the education of various subjects. To further promote intelligent development college online courses, this paper studies mathematical mo dels algorithms learning management system based on knowledge forgetting curve. Through analysis current situation modeling application "knowledge curve," method fuzzy differential is used, model algorithm design a new...
ABSTRACT To better automate the diagnosis of autism spectrum disorder (ASD) and improve diagnostic accuracy, a graph neural network via dual‐atlas multi‐feature learning (DML‐GNN) model for ASD is constructed based on local feature information brain atlas global from multi‐modal data. First, DML‐GNN constructs extraction module to capture initial features each subject. Second, it combines K‐nearest‐neighbor graphs, pooling, convolution (GCN) channel attention (GCA) construct module. This...
Systemic lupus erythematosus (SLE) presents as the abnormal activation and over-proliferation of immune competent cells. Few studies have characterized role natural killer (NK) NK T (NKT) cells in pathogenesis SLE, therefore a consensus has not been reached yet.Thirty-two patients with new-onset SLE 15 healthy controls were recruited. Activated inhibitory NKT peripheral blood quantified by flow cytometry. The proportions spontaneous stimulated interferon (IFN)-γ(+) CD107a(+) was examined....
A sensitive liquid chromatographic-tandem mass spectrometry(LC-MS/MS) method was developed for the determination of rizatriptan in human plasma. The analytes were extracted from plasma samples by liquid-liquid extraction, separated on a Zorbax XDB C8 column (150 x 4.6 mm i.d.) and detected tandem spectrometry with an electrospray ionization interface. Zomitriptan used as internal standard. had lower limit quantitation 50 pg/mL rizatriptan, which showed more sensitivity speed analysis...
T cell and cell-related cytokine abnormalities are involved in the pathogenesis of systemic lupus erythematosus (SLE). Our previous study showed that interleukin (IL)-22(+) CD4(+) cells IL-22 play an important role SLE. In this study, we aimed to investigate effects glucocorticoids (GCs) immunodepressant agents on IL-22-producing subsets SLE patients. The frequencies peripheral blood helper type 22 (Th22), IL-22(+) Th17, Th1 Th17 concentrations serum IL-22, IL-17 interferon (IFN)-γ patients...
Background . Surfaced-enhanced laser desorption-ionization-time of flight mass spectrometry (SELDI-TOF-MS) technology plays an important role in the early diagnosis ovarian cancer. However, raw MS data is highly dimensional and redundant. Therefore, it necessary to study rapid accurate detection methods from massive data. Methods The clinical set used experiments for cancer consisted 216 SELDI-TOF-MS samples. An analysis method based on probabilistic principal components (PPCA) support...
BackgroundThere is heterogeneity in the clinical manifestations and responses to drugs RA patients due variety of factors such as genes environment. Despite advances treatment rheumatoid arthritis (RA), approximately 40% still do not achieve primary outcomes randomized trials, its low remission rate high economic consumption remain unresolved, especially developing countries. Iguratimod (IGU) a new disease-modifying anti-rheumatic drug (DMARD) with price that has demonstrated good efficacy...
Wuyuan green tea is a famous agricultural product in China and protected by national geo-graphical indications. The processed also needs to remove impurities, such as stones, stalks, etc. However, stalks cannot be classified from using photoelectric sorting 2D image recognition technology since they have similar colors. This paper adopts hyperspectral imaging solve the problem of inaccurate caused their Green containing was imaged visible near-infrared camera with wavelength 400nm-1000nm....
Big Data comprise the tools to analyse vast stores of data generated by myriad powerful, low-cost processors, sensors and networks around us. The spiralling demand for multi-sensored personal communication devices has played a major role in this, producing images leaving digital trails transactions texts be mined patterns. Consequently, cutting edge analysis been targeted images. However copious amounts required successfully train these are not available several fields such as rehabilitation...
As one of the important tools epilepsy diagnosis, electroencephalogram (EEG) is noninvasive and presents no traumatic injury to patients. It contains a lot physiological pathological information that easy obtain. The automatic classification epileptic EEG in diagnosis therapeutic efficacy epileptics. In this article, an explainable graph feature convolutional neural network named WTRPNet proposed for classification. Since constructed by recurrence plot wavelet domain, it can fully obtain...
Although γδT cells are widely recognized as pivotal elements in immune-mediated diseases, their role the pathogenesis of SLE and therapeutic outcome remains under explored. The current study aims to characterize cell compartment correlate its status disease severity response therapy.Human peripheral blood-derived γδ T were isolated from 14 healthy volunteers 22 patients (before after 4 12 weeks following onset glucocorticoids (GC), mycophenolatemofetil (MMF) orhydroxychloroquine (HCQ)...
Mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) participates in inflammatory and autoimmune diseases via activating various signaling pathways promoting the differentiation of T-helper (Th) Th17 cells; however, it is rarely reported rheumatoid arthritis (RA). This study aimed to assess correlation MALT1 with Th1 cells evaluate its potential as a biomarker for evaluating disease activity treatment outcomes RA patients.This enrolled 139 patients 45 health controls...
Purpose Histone deacetylase 4 (HDAC4) regulates the progression of autoimmune diseases. This study aimed to further investigate correlation between HDAC4 and Th cells, inflammation, disease activity, treatment response in patients with ankylosing spondylitis (AS). Methods A total 132 active AS were enrolled, whom 54 received TNF inhibitor (TNFi) 78 NSAID. Serum was measured by ELISA before (W0) at week (W)4, W8, W12 after treatment. Meanwhile, serum detected 30 osteoarthritis healthy...
The early diagnosis of focal liver lesions (FLLs) plays a key role in the successful treatment cancer. To effectively diagnose lesions, we used contrast-enhanced ultrasound (CEUS) to FLLs. A hybrid CNN and Transformer network is extract local global spatio-temporal features CEUS. Firstly, R(2+1)D with pre-trained weights multi-scale features, then feature maps various size are input into G- <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>...