- Voice and Speech Disorders
- Dysphagia Assessment and Management
- Speech and Audio Processing
- Tracheal and airway disorders
- Translation Studies and Practices
- Grouting, Rheology, and Soil Mechanics
- EEG and Brain-Computer Interfaces
- Environmental and Agricultural Sciences
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Remote Sensing and Land Use
- Concrete and Cement Materials Research
- Optical Imaging and Spectroscopy Techniques
- Esophageal and GI Pathology
- Curcumin's Biomedical Applications
- Environmental Changes in China
- Trace Elements in Health
- Icing and De-icing Technologies
- GDF15 and Related Biomarkers
- High voltage insulation and dielectric phenomena
- Heat shock proteins research
- Smart Grid Security and Resilience
- Cardiovascular Function and Risk Factors
- Spinal Cord Injury Research
- Advanced Nanomaterials in Catalysis
Eighth Affiliated Hospital of Sun Yat-sen University
2022-2025
Sun Yat-sen University
2015-2025
Liaocheng University
2024
Henan University of Economic and Law
2024
The Seventh Affiliated Hospital of Sun Yat-sen University
2019
Soochow University
2013-2019
Third Affiliated Hospital of Sun Yat-sen University
2015
First Affiliated Hospital of Soochow University
2013-2015
China Three Gorges University
2011-2012
Abstract Thickened fluids are commonly used in the medical management of individuals who suffer swallowing difficulty (known as dysphagia). Previous studies have shown that rheological properties a liquid affect flow behavior bolus swallowing, such pharyngeal transit time. While there is no doubt shear rheology highly important factor for flow, it suspected extensional also plays an role due to elongation flows through oropharynx. Our aim this work was observe effect viscosity on time and...
Dysarthria is a motor speech disorder frequently associated with subcortical damage. However, the precise roles of nuclei, particularly basal ganglia and thalamus, in production process remain poorly understood. The present study aimed to better understand their by mapping neuroimaging, behavioral, data obtained from subacute stroke patients lesions. Multivariate lesion-symptom voxel-based morphometry methods were employed correlate lesions thalamus production, emphases on linguistic...
Ultrasound imaging has been widely adopted in speech research to visualize dynamic tongue movements during production. These images are universally used as visual feedback interventions for articulation disorders or cues recognition. Nevertheless, the availability of high-quality audio-ultrasound datasets remains scarce. The present study, therefore, aims construct a multimodal database designed Mandarin speech. dataset integrates synchronized ultrasound lingual movement, and corresponding...
Electroencephalogram (EEG) recordings often contain artifacts that would lower signal quality. Many efforts have been made to eliminate or at least minimize the artifacts, and most of them rely on visual inspection manual operations, which is time/labor-consuming, subjective, incompatible filter massive EEG data in real-time. In this paper, we proposed a deep learning framework named Artifact Removal Wasserstein Generative Adversarial Network (AR-WGAN), where well-trained model can decompose...
Ischemic stroke is a medical emergency for which effective treatment remains inadequate. Curcumin (Cur) natural polyphenolic compound that regarded as potent neuroprotective agent. Compared to synthetic pharmaceuticals, Cur possesses minimal side effects and exhibits multiple mechanisms of action, offering significant advantages in the ischemic stroke. However, drawbacks such poor water solubility transmembrane permeability limit efficacy Cur. In recent years, nano-delivery systems have...
Virtual reality has demonstrated its analgesic effectiveness. However, optimal interactive mode for pain relief is yet unclear, with rare objective measurements that were performed to explore neural mechanism.This study primarily aimed at investigating the effect of different VR modes via functional near-infrared spectroscopy (fNIRS) and exploring correlations subjectively reported experience through a self-rating questionnaire.Fifteen healthy volunteers (Age: 21.93 ± 0.59 years, 11 female,...
Transcranial direct current stimulation (tDCS) is a non-invasive method to modulate cortical excitability in humans. Here, we examined the effects of anodal tDCS on suprahyoid motor evoked potentials (MEP) when applied over hemisphere with stronger and weaker suprahyoid/submental projections, respectively, while study participants performed swallowing task. Thirty healthy volunteers were invited two experimental sessions randomly assigned one different groups. While first group was targeted...
Because the traditional fault location method of industrial Ethernet network communication line has problems high false alarm rate, low accuracy rate and long time, a Bayesian-based is proposed. First, signal measured by discrete Fourier transform algorithm. Then according to measurement results, features are extracted. Finally, extracted input into Bayesian as training samples, used calculate maximum posterior probability output corresponding data, build localisation model, obtain results....
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Automatic assessment of dysarthria remains a highly challenging task due to high variability in acoustic signals and the limited data. Currently, research on automatic primarily focuses two approaches: one that utilizes expert features combined with machine learning, other employs data-driven deep learning methods extract representations. Research has demonstrated are effective representing pathological characteristics, while excel at uncovering latent features. Therefore, integrating...
The diffusion-based Acoustic-to-Articulatory Inversion (AAI) approach has been shown impressive results for converting audio into Ultrasound Tongue Imaging (UTI) data with clear tongue contours. However, Mean Square Error (MSE) based diffusion models focus on the pixel error between reference and generated UTI data, inherently omitting changes in movements. This leads to discrepancy trajectory data. To address this issue, paper presents an Optical Flow Guided generation method training...
The accumulation of copper ions plays an important role in the apoptosis cancer cells. Definition death: Copper death (Cuproptosis) is a new form programmed cell caused by excessive copper. can participate multiple cellular signaling pathways and promote growth division are involved angiogenesis, providing nutrients oxygen for cells supporting spread tumors. Together, they progression inflammation. related to tumor metastasis play certain migration invasion
Decreased gait ability occurs in the aging process, increasing risk of falls and reducing quality life. Gait control relies on cortical muscle activation cortico-muscular information transmission, but impact transmission during is currently unclear. This study recruited 12 young adults elderly subjects, simultaneously acquired hemodynamic oxyhemoglobin concentration (HbO) gastrocnemius surface electromyography (sEMG) walking, based transfer entropy (TE) to estimate transfer. The results...
The COVID-19 pandemic caused unprecedented global disruptions, with the hotel and aviation industries—two critical pillars of tourism—among hardest hit. This study analyzed 451 hotel-related 336 aviation-related records from Web Science database, applying semantic network analysis to uncover eight clusters crisis management knowledge: basic functions, response, operational strategies, epidemic prevention control, perception, innovative services, scope influence, internal external...
Automatic objective assessment of dysarthria is valuable and crucial. Most previous studies focus on using audio-only data, ignoring the complementary other modal data. In addition, traditional methods ignore relationship between pre-defined features different pronunciations, reducing performance automatic system. To address these issues, this paper proposes a joint feature-sample selection (JFSS) based severity level regression model audio-visual proposed framework, relevant pronunciation...
Electric geometry method(EGM) was used to calculate the shielding failure trip-out rate of double-circuit transmission line on same tower in thesis, with striking distance factor β that conforms height changes being introduced and lightning current obtained when exposure arc 0 considered strongest current. Next analysis made effects various factors like ground inclined angle, structure so forth each phase conductor. Finally calculation results showed as follows: increased first then...