Gaoyang Li

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Verified

Gaoyang verified their affiliation via an institutional email.

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• Doctor of Philosophy
• Professor (Associate) at Beihang University

Understanding the water flow behavior on an anisotropic wetting surface is of practical significance in nanofluidic devices for their performance improvement. However, current methods of experiments and simulations face challenges in measuring water transportation in real time and visually displaying it. Here, molecular dynamics simulation was inte...

Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of hemodynamics remains a challenge for current invasive detection and simulation algorithms. Here, we integrate computational fluid dynamics with our customized analysis frame...

Low-density parity-check (LDPC) codes characterize both a relatively low decoding complexity and a performance nearing the Shannon limit. The integration of channel coding with modulation, known as bit-interleaved coded modulation (BICM), is widely utilized in communication and broadcasting systems. In particular, iterative message passing processe...

Hemodynamic parameters can provide surveillance for the risk of complication of abdominal aortic aneurysms following endovascular aneurysm repair (EVAR). However, obtaining hemodynamic parameters through computational fluid dynamics (CFD) has disadvantages of complex operation and high computational costs. Recently proposed physics-informed neural...

In this study, a joint blind frame synchronization and decoding method is proposed based on the normalized syndrome satisfaction probability (NSSP) provided by the soft Low-Density Parity-Check (LDPC) codes decoder. To reduce complexity, a stopping criterion is introduced into the iterative process through the convergence of NSSP evolution patterns...

Background: Coronary heart disease (CHD) is the first cause of death globally. Hypertension is considered to be the most important independent risk factor for CHD. Early and accurate diagnosis of CHD in patients with hypertension can plays a significant role in reducing the risk and harm of hypertension combined with CHD. Objective: To propose a...

BACKGROUND: Acute type B aortic dissection (ATBAD) is a life-threatening aortic disease. However, little information is available on predicting and understanding of ATBAD. OBJECTIVE: The study sought to explore the underlying mechanism of ATBAD by analyzing the morphological and hemodynamic characteristics related to aortic length. METHODS: The len...

As a branch of the Internet of Things (IoT) dedicated to medical care industry, the Internet of Medical Things (IoMT) includes networking devices and applications for medical and health nformation technology applications. The IoMT still has many shortcomings, such as unstable information transmission, low accuracy of fault diagnosis and classifica...

Water management in the catalyst layers (CLs) of proton-exchange membrane fuel cells is crucial for its commercialization and popularization. However, the high experimental or computational cost in obtaining water distribution and diffusion remains a bottleneck in the existing experimental methods and simulation algorithms, and further mechanistic...

Hemodynamic prediction of carotid artery stenosis (CAS) is of great clinical significance in the diagnosis, prevention, and treatment prognosis of ischemic strokes. While computational fluid dynamics (CFD) is recognized as a useful tool, it shows a crucial issue that the high computational costs are usually required for real-time simulations of com...

The miniaturization and performance improvement of electronic devices require more efficient interface thermal management strategies. The physical adsorption of amphiphilic surfactants at interfaces has attracted increasing interest in their application of interfacial heat transfer enhancement. In this chapter, the authors are dedicated to giving a...

The dependable transmission of data and the efficacy of wireless communication depend critically on the detection and classification of interference. Traditional classification algorithms may not yield the requisite precision in identifying and categorizing diverse types of interference, whereas deep learning (DL) algorithms necessitate high-qualit...

Inefficient conversion of structure-complicated and oxygen-enriched asphaltenes is found as the major challenge facing coal tar in achieving high value-added utilization. Hydrogenation technology is the primary way to achieve the impurity removal and lightweight of coal tar asphaltenes (CTAS). In this study, the evolution laws of functional groups...

The catalyst layer (CL) was an important component in polymer electrolyte fuel cells (PEFCs). In the CL, Nafion ionomers coated the Pt particles on the carbon surface for the proton transfer assistance, and therefore the structure optimization of ionomer films is very important for the improvement of catalytic utilization and proton transport perfo...

Objective: After coronary artery bypass grafting (CABG) surgery, the main causes of poor instant patency of left internal mammary arteries (LIMAs) are competitive flow and anastomotic stenosis, but how to determine the cause of LIMA non-patency without interfering with the native coronary artery is still a difficult problem to be solved urgently. M...

Coarse-grained molecular dynamics simulations were performed to understand the morphological evolution and adsorption mechanism of Nafion ionomers from the aqueous solutions to the Pt/C substrate surface under various solution compositions and substrate properties. We found that the ionomer coverage did not increase with the increasing ionomer-to-c...

Asphaltenes are the heaviest and least understood fraction for the petroleum and coal-derived oil resulting in the great challenge during the hydrotreating (HDT) process. In this study, the evolution law of polar functional groups, heteroatom species and structure attributes of coal tar asphaltene was systematically studied at different temperature...

Computational fluid dynamics (CFD) has been widely used to model the internal flow field of centrifugal pumps to analyze cavitation phenomena. However, accurate determination of cavitation in pumps remains a challenge. In this study, liquid-vapor two-phase flow in centrifugal pump at different conditions and impeller structural parameters were stud...

Background It is a critical challenge to diagnose leptomeningeal metastasis (LM), given its technical difficulty and the lack of typical symptoms. The existing gold standard of diagnosing LM is to use positive cerebrospinal fluid (CSF) cytology, which consumes significantly more time to classify cells under a microscope. Objective This study aims...

Objective: Pulse wave has been considered as a message carrier in the cardiovascular system (CVS), capable of inferring CVS conditions while diagnosing cardiovascular diseases (CVDs). Clarification and prediction of cardiovascular function by means of powerful feature-abstraction capability of machine learning method based on pulse wave is of grea...

Hypothesis Recent advances in deep learning (DL) have enabled high level of real-time prediction of thermophysical properties of materials. On the other hand, molecular dynamics (MD) have been long used as a numerical microscope to observe detailed interfacial conditions but require separate simulations that are computationally costly. Hence, it sh...

Molecular dynamics (MD) simulation can effectively analyze the transport properties of liquid at the solid surface with different nanoscale roughness, while high computational costs are required. Herein, a deep learning encoding-decoding convolutional neural network is proposed to predict the adsorption density distribution of atomic and organic li...

In this study, data-driven deep learning methods were applied in order to model and predict the treatment of real municipal wastewater using anaerobic membrane bioreactors (AnMBRs). Based on the one-year operating data of two AnMBRs, six parameters related to the experimental conditions (temperature of reactor, temperature of environment, temperatu...

The interventional treatment of cerebral aneurysm requires hemodynamics to provide proper guidance. Computational fluid dynamics (CFD) is gradually used in calculating cerebral aneurysm hemodynamics before and after flow-diverting (FD) stent placement. However, the complex operation (such as the construction and placement simulation of fully resolv...

The use of diameter stenosis (DS), as revealed by coronary angiography, for predicting fractional flow reserve (FFR) usually results in a high error rate of detection. In this study, we investigated a method for predicting FFR in patients with coronary stenosis based on multiple independent risk factors. The aim of the study was to improve the accu...

Background: Inadequate scaffolding performance hinders the clinical application of the biodegradable zinc alloy stents. Objective: In this study we propose a novel stent with the tenon-and-mortise structure to improve its scaffolding performance. Methods: 3D models of stents were established in Pro/E. Based on the biodegradable zinc alloy mate...

The clinical treatment planning of coronary heart disease requires hemodynamic parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually used in the simulation of cardiovascular hemodynamics. However, for the patient-specific model, the complex operation and high computational cost of CFD hinder its clinical application...

Lumped parameter model (LPM) is a common numerical model for hemodynamic simulation of human’s blood circulatory system. The numerical simulation of enhanced external counterpulsation (EECP) is a typical biomechanical simulation process based on the LPM of blood circulatory system. In order to simulate patient-specific hemodynamic effects of EECP a...

The abnormal diameter of the coronary artery is twice or more than the normal diameter, which is a coronary artery aneurysm (CAA). According to the clinical statistics, CAA shows high occurrence on right coronary artery (RCA). The most common cause of CAA in adults is atherosclerosis, which destroys the elastic fibers in the middle layer of the blo...

Owing to the diversity of pulse-wave morphology, pulse-based diagnosis is difficult, especially pulse-wave-pattern classification (PWPC). A powerful method for PWPC is a convolutional neural network (CNN). It outperforms conventional methods in pattern classification due to extracting informative abstraction and features. For previous PWPC criteria...

Based on the noninvasive detection indeices and fuzzy mathematics method, this paper studied the noninvasive, convenient and economical cardiovascular health assessment system. The health evaluation index of cardiovascular function was built based on the internationally recognized risk factors of cardiovascular disease and the noninvasive detection...

In order to address new challenges that arise in the degradation behavior of absorbable metal stents (AMSs) in vivo, new modelling and simulation are presented in this study. A dynamic corrosion model (Model 1) considering uniform corrosion, stress corrosion mechanisms and dynamic cyclic pulse loading was proposed to simulate the stent degradation...

For patients with type 2 diabetes, the evaluation of pulse waveform characteristics is helpful to understand changes in arterial stiffness. However, there is a lack of comprehensive analysis of pulse waveform parameters. Here, we aimed to investigate the changes in pulse waveform characteristics in patients with type 2 diabetes due to increased art...

The relationship between simultaneous limbs blood pressure differences and Ankle-Brachial Index (ABI) is controversial. This paper aims to investigate the association of limbs blood pressures differences with ABI as the current non-invasive diagnosis method in clinical primary care. A cross-sectional study was performed to analysis the relationship...

Clinical application of bare metal stents is constrained by the occurrence of in-stent restenosis, mainly due to the complex biomechanical environment in the body. Numerical simulation method was used to evaluate the effect of plaque composition on stent performance in a carotid artery. CT angiography (CTA) data were used as a reference, and zero-l...

The stents’ adaptability and safety in realistic and idealized stenotic coronary model were compared to investigate the influence of artery geometry parameter on stent fatigue life. The stents’ fatigue resistance ability was calculated using Goodman diagram, and the cycle to failure, the fatigue life, and the fatigue safety factor (FSF) were analyz...

Pulse wave contains a lot of cardiovascular diseases (CVD) information. It can be used as an early diagnostic method for CVD. Previous studies have shown that the pulse wave of atherosclerotic patients are significantly different from those of healthy subjects. In this study, we extracted 210 pulse wave cycles from atherosclerotic patients. At the...

Background: The high risk of hypertension in middle-aged and elderly people has led to the development of the cardio-ankle vascular index (CAVI), a novel predictor of cardiovascular events. Objective: This paper aimed to determine how reliably hypertension can be diagnosed in middle-aged and elderly people by measuring CAVI. Methods: One hundr...

Background Simultaneous measurement of four-limb blood pressures can improve the accuracy of cardiovascular disease diagnosis. This study aims to investigate the association of simultaneously measured four-limb blood pressures with cardiovascular function as the non-invasive diagnostic method of cardiovascular disease in primary care. Methods 229...