A5032257731- Obstructive Sleep Apnea Research
- Neuroscience of respiration and sleep
- Sleep and Wakefulness Research
- Non-Invasive Vital Sign Monitoring
- Cancer-related molecular mechanisms research
- Heart Rate Variability and Autonomic Control
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Hepatitis B Virus Studies
- Cervical Cancer and HPV Research
- Fluid Dynamics and Turbulent Flows
- Mental Health Research Topics
- Microfluidic and Bio-sensing Technologies
- Viral-associated cancers and disorders
- Aerodynamics and Fluid Dynamics Research
- Nuclear Engineering Thermal-Hydraulics
- Sleep and related disorders
- Ultrasound and Cavitation Phenomena
- Hepatitis C virus research
- Tryptophan and brain disorders
- Vestibular and auditory disorders
- Hearing, Cochlea, Tinnitus, Genetics
- Colorectal Cancer Screening and Detection
- Embedded Systems and FPGA Design
South China Normal University
2019-2025
Sun Yat-sen University
2015-2024
Ministry of Education of the People's Republic of China
2021-2023
Fujian Normal University
2012
Early screening for autism spectrum disorder (ASD) is crucial, yet current assessment tools in Chinese primary child care are limited efficacy. This study aims to employ machine learning algorithms identify key indicators from the 20-item Modified Checklist Autism Toddlers, revised (M-CHAT-R) combining with ASD-related sociodemographic and environmental factors, distinguish ASD typically developing children. Data our prior validation of M-CHAT-R (August 2016-March 2017, n = 6,049 toddlers)...
Semantic segmentation is crucial in medical image diagnosis. Traditional deep convolutional neural networks excel classification and object detection but fall short tasks. Enhancing the accuracy efficiency of detecting high-level cervical lesions invasive cancer poses a primary challenge model development.Between 2018 2022, we retrospectively studied total 777 patients, comprising 339 patients with 313 microinvasive or cancer. Overall, 1554 colposcopic images were put into DeepLabv3+ for...
Sleep is indispensable for humans to maintain normal life activities. Sex and individual differences in sleep patterns quality of cannot be ignored. Nevertheless, the overall population generalities sex- or individual- cerebral cortical functional connectivity (FC) during have not been well described. Here, we evaluated characteristic FC based on whole-night electroencephalography (EEG) recordings. An improved weighted phase lag index (WPLI) algorithm was applied obtain delta (0.5-4Hz),...
Abstract The aim of this study is to ascertain the mechanisms cognitive reserve disorder in age-related hearing loss (ARHL), correlation between ARHL and decline via EEG, reverse adverse remodeling auditory–cognitive connectivity with aids (HAs). In study, 32 participants were enrolled, including 12 ARHLs, 9 HAs, 11 healthy controls (HCs), undergo Pure Tone Average (PTA), Montreal Cognitive Assessment (MoCA), other general tests. There lowest MoCA group (P = 0.001), especially language...
Human papillomavirus (HPV) integrating into human genome is the main cause of cervical carcinogenesis. HPV integration selection preference shows strong dependence on local genomic environment. Due to this theory, it possible predict sites. However, a published bioinformatic tool not available date. Thus, we developed an attention-based deep learning model DeepHPV sites by environment features automatically. In total, 3608 known were applied train model, and 584 reviewed used as testing...
Sleep apnea hypopnea syndrome (SAHS) is an independent risk factor for cardiovascular diseases. However, the pathophysiology between them not yet clear. This paper seeks to understand how respiratory events impact system by heart rate variability. We compared differences successional pathological (PR) and pure normal respiration (NR) during sleep. The transitions (TR) were also analyzed. Thirteen patients who suffered moderate or severe SAHS enrolled in this study. results demonstrate that...
Abstract Background The hepatitis B virus (HBV) is one of the main causes viral and liver cancer. HBV integration key steps in virus-promoted malignant transformation. Results An attention-based deep learning model, DeepHBV, was developed to predict sites. By local genomic features automatically, DeepHBV trained tested using site data from dsVIS database. Initially, showed an AUROC 0.6363 AUPR 0.5471 for dataset. repeat peaks TCGA Pan-Cancer significantly improved model performance, with...
Depressive patients show less altruistic behavior. While, older adults present higher tendencies for altruism than younger adults. Depression and age are two of the influencing factors altruism, kynurenine (KYN), its metabolites. However, characteristics in late-life depression (LLD) possible underlying mechanism have not been studied.We aimed to explore LLD neurobiological structural brain network. We investigated whether levels metabolites pathway (KP) white matter (WM) network topological...
Epstein-Barr virus (EBV) is one of the most prevalent DNA oncogenic viruses. The integration EBV into host genome has been reported to play an important role in cancer development. preference showed strong dependence on local genomic environment, which enables prediction sites.An attention-based deep learning model, DeepEBV, was developed predict sites by features automatically. First, DeepEBV trained and tested using data from dsVIS database. results that with sequences plus Repeat peaks...
Sleep apnea hypopnea syndrome (SAHS) is an independent risk factor for various cardiovascular diseases. Electrocardiogram (ECG) features such as the RR, PR, QT, QTc, Tpe intervals and Tpe/QT, Tpe/QTc ratios are used to predict study It not clear whether regular patterns of PR Tpe-related across sleep stages exist in SAHSs or healthy controls nor affect short- long-range influences respiratory events on ECG indices. We enrolled 36 35 patients with SAHS our analyzed abovementioned features. In...
This paper focuses on an aerodynamic noise study of outlet elbow Continuous Positive Airway Pressure (CPAP) machine by analyzing the wall pressure fluctuations and predicting far filed sound generated turbulent flow. A hybrid approach combing Larger-Eddy Simulation (LES) Ffcowcs Williams-Hawkings (FW-H) acoustic analogy was used to simulate flow distribution as well calculate flow-induced for a three-dimensional pipe. Then, different structure designed form appropriate air via considering...
Introduction Sleep apnea/hypopnea syndrome (SAHS) can change brain structure and function. These alterations are related to respiratory event-induced abnormal sleep, however, how activity changes during these events is less well understood. Methods To study information content interaction among various cortical regions, we analyzed the variations of permutation entropy (PeEn) symbolic transfer (STE) electroencephalography (EEG) events. In this study, 57 patients with moderate SAHS were...
This paper presents a Tracer Liquid Image Velocimetry (TLIV) for multi-layer radial flow in bioreactors used cells cultivation of tissue engineering. The goal this approach is to use simple devices get good measuring precision, specialized the case which uniform level fluid shear stress was required while velocity varied smoothly.Compared widely Particles (PIV), method adopted bit liquid as tracer, without need laser source. Sub-pixel positioning algorithm overcome adverse effects tracer...
Abstract Obstructive sleep apnea hypopnea syndrome negatively affects the cognitive function of children. This study aims to find potential biomarkers for obstructive in children by investigating patterns electroencephalography networks. The participants included 16 mild children, 12 severe and 13 healthy controls. Effective brain networks were constructed using symbolic transfer entropy assess cortical information interaction. flow pattern was evaluated parameters cross-within variation...
Background and objectives: Depression inflicts significant harm on both society family. Previous studies have indicated that the functional network of EEG signals worked well in recognizing major depression. This study aims to further identify depression severities characterize their difference by designing a deep learning strategy corresponding visualization method.Methods: Rest state recordings from 30 healthy controls, 35 mild depressed 26 severe patients were included. Weighted phase lag...
Perfusion bioreactors with multilayer circular parallel plates scaffold have the potential to provide a considerable scalability in cells' cultivation for tissue engineering. By now, relatively little attention has been focused on uniform distribution of fluid shear stress (FSS) among plates. However, magnitude FSS significant effect both proliferation and differentiation cells. This paper analyses relationship between structural parameters then presents an approach optimize flow field...
The study presents a method to achieve subject-ventilator synchronic pressure supply for non-invasive ventilator (NIV) used obstructive sleep apnea syndrome (OSAS), solely through controlling the blower instead of using expiratory relief valves. controller air flow signal distinguish inspiratory and phases, fast auto-forecast (AF) algorithm predict current duration based on respiration periods distinguished previously. Then in patient's late inspiration mechanical state was triggered release...
Depression is a prevalent mental illness with high morbidity and considered the main cause of disability worldwide. Brain activity while sleeping reported to be affected by such illness. To explore change cortical information flow during sleep in depressed patients, delay symbolic phase transfer entropy scalp electroencephalography signals was used measure effective connectivity between regions various frequency bands stages. The patient group control shared similar patterns channels sleep....
Signals of an oro-nasal thermistor (Th) and a nasal air pressure transducer (NP) are widely used as surrogates airflow for diagnosing sleep-disordered breathing, while the relationships between Th NP were less discussed. To demonstrate time derivative is linear correlated with NP, total 15,053 epochs (defined 30-s 1 epoch) clinical data studied. The correlation coefficients in each epoch calculated its mean value 0.87. It indicated that has positive NP.