Publications by authors named "Xu Guanghua"

Background And Aims: Chronic hepatitis B (CHB) remains a significant global health challenge, and effective antiviral therapies are essential for long-term management. This study aimed to evaluate the real-world effectiveness and safety of tenofovir amibufenamide (TMF) in a cohort of patients with chronic hepatitis B (CHB).

Methods: In this multicenter, prospective, real-world cohort study, 194 CHB patients were recruited from four hospitals between August 2021 and August 2022.

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Music can effectively influence human emotions, with different melodies and rhythms eliciting varying emotional responses. Among these, tempo is one of the most important parameters affecting emotions. This study explores the impact of music tempo on emotional states and the associated brain functional networks.

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The study aimed to diagnose of Alzheimer's Disease (AD) and Frontotemporal Dementia (FTD) based on brain functional connectivity features extracted via resting-state Electroencephalographic (EEG) signals, and subsequently developed a convolutional neural network (CNN) model, Coherence-CNN, for classification. First, a publicly available dataset of EEG resting state-closed eye recordings containing 36 AD subjects, 23 FTD subjects, and 29 cognitively normal (CN) subjects was used. Then, coherence metrics were utilized to quantify brain functional connectivity, and the differences in coherence between groups across various frequency bands were investigated.

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Unlabelled: This study aims to improve the performance of auditory brain-computer interfaces (BCIs) by developing two-target and three-target paradigms based on steady-state motion auditory evoked potential (SSMAEP) using low-frequency stimuli in a spatial audio environment. SSMAEP is elicited by auditory stimuli exhibited by periodic and discrete changes in auditory spatial position.

Methods: We designed a periodic auditory motion stimulation paradigm to evoke SSMAEP.

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Modern video games are increasingly aiming for more natural interactions and healthier gaming experiences. Haptic devices, in particular, can enhance these experiences by providing multimodal feedback and simulating a variety of body postures. However, limited attention has been paid to utilizing upper limb wearable haptic devices in video games.

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The monosynaptic cortico-motoneuronal connections suggest the possibility of individual motor units (MUs) receiving independent commands from motor cortex. However, previous studies that used corticomuscular coherence (CMC) between electroencephalogram (EEG) signals and electromyogram (EMG) signals have not directly explored the corticospinal functionality at the single motoneuron level. The objective of this study is to find out whether synchronous activities exist between the motor cortex and individual MUs.

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Background: The long-term stability of hepatitis B surface antigen (HBsAg) seroclearance following peginterferon alpha (peg-IFN-α)-based therapy has not been extensively studied, leaving the full potential and limitations of this strategy unclear.

Aim: To assess HBsAg recurrence after seroclearance achieved by peg-IFN-α regimens.

Methods: This prospective, multicenter, observational study was conducted from November 2015 to June 2021 at three Chinese hospitals: The Second Affiliated Hospital of Xi'an Jiaotong University, Ankang Central Hospital, and The Affiliated Hospital of Yan'an University.

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With the development of brain-computer interface industry, large amounts of related applications have entered people's vision. BCI applications based on steady-state visual evoked potentials (SSVEP) are widely used because they do not require pre-training and have high information transmission rates. However, in the actual use of SSVEP stimulus paradigm, the subjects will produce visual fatigue with the use, and fatigue will affect the transmission efficiency.

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Background: Image-guided surgical navigation systems are widely regarded as the benchmark for computer-assisted surgical robotic platforms, yet a persistent challenge remains in addressing intraoperative image drift and mismatch. It can significantly impact the accuracy and precision of surgical procedures. Therefore, further research and development are necessary to mitigate this issue and enhance the overall performance of these advanced surgical platforms.

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Introduction: Sensorimotor synchronization (SMS) is the human ability to align body movement rhythms with external rhythmic stimuli. While the effects of rhythmic stimuli containing only temporal information on SMS have been extensively studied, less is known about how spatial information affects SMS performance. This study investigates the neural mechanisms underlying SMS with rhythmic stimuli that include both temporal and spatial information, providing insights into the influence of these factors across different sensory modalities.

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Article Synopsis
  • MRI is important for diagnosing brain injuries in babies, but figuring out how to interpret the images can be tricky because babies’ brains develop quickly.
  • * Scientists created a new model called DBAII-Net that uses advanced techniques to better analyze MRI scans, helping to identify brain injuries more accurately.
  • * DBAII-Net showed impressive results with 92.53% accuracy in classifying MRI scans, making it a powerful tool for doctors to understand infants' brain health.
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Mature cystic teratoma of the ovary (MCTO) is a type of common disease in clinic. However, the malignant transformation of MCTO occurred rarely, with many unexplained questions. To the best of our knowledge, owing to the rarity of squamous cell carcinoma (SCC) in MCTO, even though there are some previous research works concerning about this rare disease, further exploration and discussion is still necessary to reveal unknown aspects.

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Ethnopharmacological Relevance: Coix seed, the dry mature seed kernel of the gramineous plant coix (Coix lacryma-jobi L. var. ma-yuen Stapf), is widely consumed as a traditional Chinese medicine and functional food in China and South Korea.

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This study aimed to explore the effect of various noise definition criteria in linear extrapolation technique to noise level baseline on steady-state visual evoked potential (SSVEP)-based visual acuity assessment. Four noise definition criteria on frequency-domain, i.e.

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Article Synopsis
  • - This study analyzes the link between economic growth and environmental impact by assessing the ecological footprint of 131 countries from 2009 to 2019, using the CS-ARDL methodology.
  • - Findings reveal that reducing ecological footprints is connected to increased domestic credit in the private sector, while greater energy use, foreign investment, and rising GDP enhance global quality of life.
  • - The research supports the "pollution haven hypothesis," indicating that global economic activities can potentially aid environmental efforts, though outcomes may differ by region and depend on the financial sector's focus on sustainability.
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This paper presents a novel approach to the phase space reconstruction technique, fractional-order phase space reconstruction (FOSS), which generalizes the traditional integer-order derivative-based method. By leveraging fractional derivatives, FOSS offers a novel perspective for understanding complex time series, revealing unique properties not captured by conventional methods. We further develop the multi-span transition entropy component method (MTECM-FOSS), an advanced complexity measurement technique that builds upon FOSS.

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Article Synopsis
  • The ankle-foot prosthesis is designed to replicate the natural movement of the human ankle to improve mobility for lower-limb amputees, helping them become more self-sufficient in daily activities.
  • A new reverse-rolling conjugate joint was developed to enhance the bionic motion of the prosthesis, along with a dynamics model to optimize its structure and performance.
  • The final product includes a carbon fiber energy-storage foot that mimics the function of the human foot, showing promising results in enhancing mobility and potentially lowering rehabilitation costs for amputees.
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Introduction And Hypothesis: We investigate the feasibility, safety, and clinical therapeutic effect of laparoscopic sigmoid vaginoplasty in women with Mayer-Rokitansky-Kuster-Hauser (MRKH) syndrome.

Methods: We performed a retrospective case review cohort study of 56 patients with MRKHs undergoing laparoscopic sigmoid vaginoplasty in Wuhan Union Hospital between 2000 and 2020, and all patients were followed up.

Results: The median operating time was 165 min (120-420 min).

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Motor unit (MU) discharge information obtained via electromyogram (EMG) decomposition can be used to decode dexterous multi-finger movement intention for neural-machine interfaces (NMI). However, the variation of the motor unit action potential (MUAP) shape resulted from forearm rotation leads to the decreased performance of EMG decomposition, especially under the real-time condition and then the degradation of motion decoding accuracy. The object of this study was to develop a method to realize the accurate extraction of MU discharge information across forearm pronated/supinated positions in the real-time condition for dexterous multi-finger force prediction.

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18β-Glycyrrhetinic acid (GA) is an oleane-type pentacyclic triterpene saponin obtained from glycyrrhizic acid by removing 2 glucuronic acid groups. GA and its analogues are active substances of glycyrrhiza aicd, with similar structure and important pharmacological effects such as anti-inflammatory, anti-diabetes, anti-tumor and anti-fibrosis. Although GA combined compounds are in the clinical trial stages, its application potential is severely restricted by its low bioavailability, water solubility and membrane permeability.

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In the field of robotic hands, finger force coordination is usually achieved by complex mechanical structures and control systems. This study presents the design of a novel transmission system inspired from the physiological concept of force synergies, aiming to simplify the control of multifingered robotic hands. To this end, we collected human finger force data during six isometric grasping tasks, and force synergies (i.

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The reliable classification of motor unit action potentials (MUAPs) provides the possibility of tracking motor unit (MU) activities. However, the variation of MUAP profiles caused by multiple factors in realistic conditions challenges the accurate classification of MUAPs. The goal of this study was to propose an effective method based on the convolutional neural network (CNN) to classify MUAPs with high levels of variation for MU tracking.

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Objective: The progression of brain-computer interfaces (BCIs) has been propelled by breakthroughs in neuroscience, signal processing, and machine learning, marking it as a dynamic field of study over the past few decades. Nevertheless, the nonlinear and non-stationary characteristics of steady-state visual evoked potentials (SSVEPs), coupled with the incongruity between frequently employed linear techniques and nonlinear signal attributes, resulted in the subpar performance of mainstream non-training algorithms like canonical correlation analysis (CCA), multivariate synchronization index (MSI), and filter bank CCA (FBCCA) in short-term SSVEP detection.

Methods: To tackle this problem, the novel fusions of common filter bank analysis, CCA dimensionality reduction methods, USSR models, and MSI recognition models are used in SSVEP signal recognition.

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Given the poor biomimetic motion of traditional ankle-foot prostheses, it is of great significance to develop an intelligent prosthesis that can realize the biomimetic mechanism of human feet and ankles. To this end, we presented a bionic intelligent ankle-foot prosthesis based on the complex conjugate curved surface. The proposed prosthesis is mainly composed of the rolling conjugated joints with a bionic design and the carbon fiber energy-storage foot.

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Introduction: In recent years, more and more attention has been paid to the visual fatigue caused by steady state visual evoked potential (SSVEP) paradigm. It is well known that the large-scale application of brain-computer interface is closely related to SSVEP, and the fatigue caused by SSVEP paradigm leads to the reduction of application effect. At present, the mainstream method of objectively quantifying visual fatigue in SSVEP paradigm is based on traditional canonical correlation analysis (CCA).

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