- Functional Brain Connectivity Studies
- Gait Recognition and Analysis
- Bipolar Disorder and Treatment
- Reliability and Maintenance Optimization
- Machine Fault Diagnosis Techniques
- Balance, Gait, and Falls Prevention
- Mobile Ad Hoc Networks
- Diabetic Foot Ulcer Assessment and Management
- Electrolyte and hormonal disorders
- Mental Health Research Topics
- Treatment of Major Depression
- Mechanical Behavior of Composites
- Context-Aware Activity Recognition Systems
- Sparse and Compressive Sensing Techniques
- Advanced Neuroimaging Techniques and Applications
- Fault Detection and Control Systems
- Ultrasonics and Acoustic Wave Propagation
- Vehicular Ad Hoc Networks (VANETs)
- Textile materials and evaluations
- Non-Destructive Testing Techniques
- Recommender Systems and Techniques
- Privacy-Preserving Technologies in Data
- Satellite Communication Systems
- Energy Harvesting in Wireless Networks
- Schizophrenia research and treatment
Third Affiliated Hospital of Sun Yat-sen University
2020-2025
Sun Yat-sen University
2020-2025
Beijing Academy of Science and Technology
2025
Zhejiang University
2024
National University of Defense Technology
2023-2024
Qingdao University
2024
Beihang University
2023-2024
University of Shanghai for Science and Technology
2021-2023
First Affiliated Hospital of Jinan University
2017-2022
Waseda University
2019-2020
The elevated prolactin levels in first-episode drug-naïve (FEDN) schizophrenia patients may correlate with long-term stress caused by childhood trauma. This study aimed to assess the relationship between and trauma FEDN patients, while also considering sex differences. Utilizing a cross-sectional design, involved 88 76 healthy controls (HCs). Evaluations encompassed measuring peripheral blood assessing mental health using Positive Negative Syndrome Scale (PANSS), Childhood Trauma...
With the rapid expansion of non-customized data assets, developing reliable and objective methods for their valuation has become essential. However, current evaluation techniques often face challenges such as incomplete indicator systems an over-reliance on subjective judgment. To address these issues, this study presents a structured framework comprising 17 key indicators assessing asset value. A neural network is employed to calculate weights, which reduces subjectivity enhances accuracy...
Sitting posture analysis is critical for daily applications in biomedical, education and healthcare fields. However, it remains unclear how to monitor sitting economically comfortably. To this end, we presented an eTextile device, called eCushion, paper, which can analyze the of human being accurately non-invasively. First, discussed implementation eCushion design challenges sensing data, such as scale, offset, rotation crosstalk. Then, several effective techniques have been proposed improve...
Link reliability metrics are of great significance in routing design for mobile ad hoc networks (MANETs). In this letter, we propose a novel optimized link state (OLSR) scheme named smooth mobility and reliability-based OLSR (SMLR_OLSR). It is implemented on the basis prudentially designed semi-Markov complexity restricted model, which complies sufficiently with realistic node behaviors typically used reliability-enhanced multi-point relay (MPR) selection SMLR_OLSR. Simulation results show...
Image reconstruction plays an important role in modern electronic information systems and equipment has attracted widespread intense attention academic industrial fields. Restoring delicate image particulars using traditional handcrafted prior methods is often difficult because of the inferior characterization abilities these methods. In this article, efficient model, named DGMR, proposed based on deep Gaussian mixture learning. particular, a channel mechanism designed for spatial...
Parkinsonian gait is associated with life-threatening consequences such as fall risk in Parkinson patients. Conventional analysis heavily relies on expensive sensors and human labor. In this work, we propose a sensor-free end-to-end system which enables the automated accurate detection upon videos recorded by pervasive cameras. Specifically, leverage Deep Learning technologies to extract skeleton video frame address camera random angle challenge. By analyzing features, train classifier based...
Major depressive disorder (MDD) is frequently associated with cognitive deficits and high copper levels. Dysfunction of N-methyl-d-aspartate (NMDA) receptors has been postulated to underlie MDD pathogenesis. This study sought investigate the curative effect NMDA receptor antagonist memantine on in depression underlying mechanisms.Adult male Sprague-Dawley rats received corticosterone (CORT) (20 mg/kg) bi-weekly via subcutaneous injection and/or gluconate (7 daily intragastric administration....
Mobile Health (mHealth) is expected to play a special role in today and the future healthcare delivery. Based on this trend, we design Smart Wristlet mHealth system with mobile interface. The designed dedicated offer real-time alert for elderly fall, which most important when population ageing becoming. In system, fall detection "bottleneck" of operation. To remove bottleneck away, propose perception solution care. proposal, abstract construct primitive-based features from raw data collected...
Daily step count is an important parameter in energy expenditure estimation, medical treatment, and rehabilitation. However, traditional methods are not user-friendly or require adhesive equipment. In this paper, we present our Smart Insole system design evaluate its performance. lightweight, thin, convenient to use, providing unobtrusive way perform counting. The method based on the differential value threshold of average plantar pressure obtained from ambulatory gait assessment. We a set...
In this letter, we investigate the residual link lifetime (RLL) in a mobile ad hoc network, such as vehicular network. Although, owing to underlying mobility of network nodes, RLLs adjacent links are highly correlated, yet previous works typically neglected correlation. contrast, our study is based on an accurate modeling relative distances and speeds between neighboring nodes. Firstly, scenario presented that demonstrates dependence two links. We then derive joint probability distribution...
Background: Cognitive deficit is acknowledged as a core feature of clinical manifestations bipolar disorder (BD). However, the underlying mechanism cognitive impairment in II depression has remained uncertain. We aim to determine association impairments with biochemical metabolism using proton magnetic resonance spectroscopy (1H-MRS) and battery neuropsychological testing. Methods: The current study was designed assess four domains sample 110 patients healthy controls, 6 tests, including...
Wind turbines have a wide range of applications as the main equipment for wind-power generation because rapid development technology. It is very important to select reasonable maintenance strategy reduce operation and costs wind turbines. Traditional does not consider environmental benefits. Thus, problems turbines, an opportunistic that considers structural correlations, random carbon emissions proposed. First, Weibull distribution used describe deterioration trend turbine subsystems. The...
Web service technologies are playing an increasingly important role in service-oriented architecture design and application convergence over Mobile ad hoc networks (MANET). Due to the decentralized administration dynamic wireless connectivity problems, accomplishing reliable discovery MANET faces a large number of challenges. In order relieve communication inefficiency among providers clients caused mainly by unpredictable node mobility, this paper proposes cross-layer scheme which enables...
Abstract A compact switchable chaotic oscillator is proven with great benefit for chaos-based application. The multifarious signals multiple amplitude and frequency can save the circuit modules signal conditioning. By introducing more linear terms in those systems amplitude/frequency control, a multi-output system derived corresponding simplified constructed, where only two multipliers are employed avoiding overusing of integrated components. Simplified outputs applicable engineering....
Abstract Background Depressive symptoms could be similarly expressed in bipolar and unipolar disorder. However, changes cognition brain networks might quite distinct. We aimed to find out the difference neural mechanism of impaired working memory patients with Method According diagnostic criteria II disorder Diagnostic Statistical Manual Mental Disorders, Fifth Edition (DSM-5) assessments, 13 depression (BP II), 8 (UD) 15 healthy controls (HC) were recruited study. used 2-back tasks magnetic...
We target body-wearable sensor networks, in which nodes are strategically placed on the human body and wireless communications conducted on/off surface of body. The results, obtained by performing multiple experiments outdoor environments, presented. A single transmitter communicates with a receiver node, is located or off at various distances. Sensor utilized our equipped XBee Pro modules for communications, respectively. focus work to observe how Received Signal Strength (RSS) Packet...
Wireless communication depending on satellite systems constructed by numerous low earth orbit satellites has presented many advantageous traits in space navigations and detections, gradually become a dominant developing trend of the mission-driven telecommunication. Based Flower Constellation design theory, method micro-satellite formations, which are capable providing compact topology characterized specific geometrical configuration, is presented, aiming at optimizing systems' multiple...