Mengya Yuan

ORCID: 0000-0002-8359-8006
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Cardiac electrophysiology and arrhythmias
  • Visual Attention and Saliency Detection
  • Metal and Thin Film Mechanics
  • Diamond and Carbon-based Materials Research
  • Advanced Neural Network Applications
  • Retinal Imaging and Analysis
  • Dementia and Cognitive Impairment Research
  • Ion channel regulation and function
  • Electrochemical Analysis and Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced materials and composites
  • Functional Brain Connectivity Studies
  • Cerebrovascular and Carotid Artery Diseases
  • Nonlinear Dynamics and Pattern Formation
  • ECG Monitoring and Analysis
  • Retinal Diseases and Treatments
  • Gaze Tracking and Assistive Technology
  • EEG and Brain-Computer Interfaces
  • Cardiac pacing and defibrillation studies
  • Trace Elements in Health
  • Neurological diseases and metabolism
  • Artificial Intelligence in Healthcare
  • Retinal and Optic Conditions
  • High Entropy Alloys Studies
  • Liver Disease and Transplantation

Jilin University
2022-2024

State Key Laboratory of Superhard Materials
2022-2024

Xinxiang Medical University
2020-2023

Anhui Institute of Information Technology
2023

Nanjing University of Chinese Medicine
2022

Shanghai Mental Health Center
2020-2021

Shanghai Jiao Tong University
2020-2021

Southeast University
2020

Yunnan Agricultural University
2018

Retinal fundus photography provides a non-invasive approach for identifying early microcirculatory alterations of chronic diseases prior to the onset overt clinical complications. Here, we developed neural network models predict hypertension, hyperglycemia, dyslipidemia, and range risk factors from retinal images obtained cross-sectional study in rural areas Xinxiang County, Henan, central China. 1222 high-quality over 50 measurements anthropometry biochemical parameters were generated 625...

10.1371/journal.pone.0233166 article EN cc-by PLoS ONE 2020-05-14

Abstract Binary transition‐metal nitrides (TMNs) are widely used as protective coating materials, and enhancing key performance characteristics crucial to improving their robust durable applications in harsh service environments. Compositional modulation via multiple elemental species offers an effective approach for optimizing physicochemical properties of TMNs, establishing the composition–property relation is essential design high‐performance TMNs. In this work, we report on a comparative...

10.1111/jace.18843 article EN Journal of the American Ceramic Society 2022-10-10

Functional connectivity (FC) matrices measure the regional interactions in brain and have been widely used neurological disease classification. A network, also named as connectome, could form a graph structure naturally, nodes of which are regions edges interregional connectivity. Thus, this study, we proposed novel convolutional networks (GCNs) to extract efficient disease-related features from FC matrices. Considering time-dependent nature activity, computed dynamic with sliding windows...

10.1093/cercor/bhaa292 article EN Cerebral Cortex 2020-09-29

Transition metal nitrides (TMNs) have gained widespread application in protecting structural components due to their high strength and hardness. However, TMNs still the challenge of instability mechanical deterioration caused by oxidation under harsh temperature conditions. Herein, we present a strategy combining component regulation with high-entropy engineering develop an advanced high-temperature Al-containing (HENs) material. To prevent phase decomposition AlN within (NbMoTaWAl)N,...

10.1016/j.jmat.2024.04.013 article EN cc-by-nc-nd Journal of Materiomics 2024-06-07

ABSTRACT Objective: To examine the association between sleep duration in different stages of life and amnestic mild cognitive impairment (aMCI). Design, setting, participants: A total 2472 healthy elderly 505 patients with aMCI China were included this study. The study analyzed life. Measurements: We compared Montreal Cognitive Assessment scores by curve estimation. Logistic regression was used to evaluate duration. Results: In analysis, there no results proving that youth ( P = 0.719, <...

10.1017/s1041610221000466 article EN cc-by-nc-nd International Psychogeriatrics 2021-05-10

Sudden cardiac death (SCD) is a leading cause of worldwide, and the majority SCDs are caused by acute ventricular arrhythmias (VAs). Early afterdepolarizations (EADs) an important trigger VA under pathological conditions, e.g., inherited or acquired long QT syndrome (LQTS). However, it remains unclear how EAD events at cellular level spatially organized tissue to induce maintain whether spatial-temporal patterns EADs associated with abnormal T-wave morphologies that often observed in LQTS,...

10.1371/journal.pone.0280267 article EN cc-by PLoS ONE 2023-01-09

Abstract RGB depth (RGB‐D) salient object detection (SOD) is a meaningful and challenging task, which has achieved good performance in dealing with simple scenes using convolutional neural networks, however, it cannot effectively handle complex contours of objects or similarly coloured background. A novel end‐to‐end framework proposed for RGB‐D SOD, comprises four main components: the cross‐modal attention feature enhancement (CMAFE) module, multi‐level contextual interaction (MLCFI)...

10.1049/cvi2.12244 article EN cc-by-nc-nd IET Computer Vision 2023-10-19

Objective: To analyze the relevant factors for diabetic retinopathy. Methods: The data of type 2 diabetes mellitus patients undergoing general examination and ophthalmology specialist consultation were collected from inpatients Department Endocrinology in Beijing Airport Hospital between 2013 2016, retinopathy retrospectively analyzed. Results: A total 432 cases analyzed, including 168 non-diabetic 264 In group, there 88 male 80 female, with an mean age (57.0± 13.6) years old. Meanwhile,...

10.3760/cma.j.issn.0376-2491.2017.24.006 article EN PubMed 2017-06-27

Abstract Background Non-alcoholic simple fatty liver disease patients have very low compliance with almost all types of physical activities. A transtheoretical model-oriented lifestyle modification plan awakens the patient’s consciousness in pre-intention stage. Aim to evaluate whether a management by stages change based on Transtheoretical Model and Stages Change promoted behavior for non-alcoholic disease. Methods Patients diagnosed from July December 2019 were randomly divided into model...

10.1186/s12876-022-02506-4 article EN cc-by BMC Gastroenterology 2022-11-23

Abstract Sudden cardiac death (SCD) is a leading cause of worldwide, and the majority SCDs are caused by acute ventricular arrhythmias (VAs). Early afterdepolarizations (EADs) an important trigger VA under pathological conditions, e.g., inherited or acquired long QT syndrome (LQTS). However, it remains unclear how EAD events at cellular level spatially organized tissue to induce maintain whether spatial-temporal patterns EADs associated with abnormal T-wave morphologies that often observed...

10.21203/rs.3.rs-294397/v2 preprint EN cc-by Research Square (Research Square) 2023-01-10

Existing RGB + depth (RGB-D) salient object detection methods mainly focus on better integrating the cross-modal features of images and maps. Many use same feature interaction module to fuse maps, which ignores inherent properties different modalities. In contrast previous methods, this paper proposes a novel RGB-D method that uses depth-feature guide fusion based First, is designed using coordinate attention utilize simple data representation capability maps effectively. Second, dense...

10.1155/2023/9921988 article EN cc-by Advances in Multimedia 2023-05-08

Abstract The effective integration of RGB and depth map features to improve the performance RGB‐D salient object detection (SOD) has garnered significant research interest. existing dual‐stream models can be used for high‐level feature fusion or unidirectionally transferring features; however, they are unable fully exploit differences in modality. Furthermore, owing influence image background information, generated is affected by swallow. Herein, a three‐stream SOD method based on...

10.1049/ipr2.12862 article EN cc-by-nc IET Image Processing 2023-07-03

The door system is one of the important components rail transit, which critical to safety both vehicles and passengers. It necessary monitor degradation process implement maintenance before failure occurs. However, there few research on state analysis system. In this paper, an accelerated life test platform built for transit system, multiple sensors data whole cycle can be obtained. key features sensor are extracted selected. model established by using Support Vector Machine linear...

10.1109/phm-shanghai49105.2020.9280920 article EN 2020-10-16

Abstract Background Sudden cardiac death (SCD) is a leading cause of worldwide, and the majority SCDs are caused by acute ventricular arrhythmias (VAs). Early afterdepolarizations (EADs) an important trigger VA under pathological conditions, e.g., inherited or acquired long QT syndrome (LQTS). However, it remains unclear how EAD events at cellular level spatially organized tissue to induce maintain whether spatial-temporal patterns EADs associated with abnormal T-wave morphologies that often...

10.21203/rs.3.rs-294397/v1 preprint EN cc-by Research Square (Research Square) 2021-03-17
Coming Soon ...