A5066228876- Chinese history and philosophy
- Mobile Health and mHealth Applications
- Cardiovascular Health and Risk Factors
- Advanced Neuroimaging Techniques and Applications
- Digital Mental Health Interventions
- Educational Technology and Pedagogy
- MRI in cancer diagnosis
- Translation Studies and Practices
- Contemporary Literature and Criticism
- Advanced MRI Techniques and Applications
- Blood Pressure and Hypertension Studies
- Language, Metaphor, and Cognition
- IoT and Edge/Fog Computing
- Educational Reforms and Innovations
- Ideological and Political Education
- Digital Media and Visual Art
- Healthcare Systems and Public Health
- Technology and Security Systems
- Names, Identity, and Discrimination Research
- Cloud Data Security Solutions
- Text and Document Classification Technologies
- Ferroptosis and cancer prognosis
- Cancer, Lipids, and Metabolism
- Business Process Modeling and Analysis
- Distributed and Parallel Computing Systems
Guangdong Polytechnic Normal University
2024
Huaihua University
2023
Zhejiang University
2020-2023
Hunan Normal University
2007-2023
Hunan Provincial People's Hospital
2021-2023
Changsha Normal University
2010-2022
Soochow University
2003-2011
Nanjing Agricultural University
2010
Guilin University of Electronic Technology
2010
Henan Normal University
2009
Metabolic dysfunction-associated fatty liver disease (MAFLD) is strongly associated with disturbances in the intestinal microbiota. Herein, biological effects and mechanism of Bifidobacterium bifidum BGN4 fractions regulating hepatocyte ferroptosis during MAFLD progression were investigated. To establish an vitro model MAFLD, LO2 cells subjected to palmitic acid (PA). The mRNA protein expressions assessed using quantitative real-time polymerase chain reaction (qRT-PCR) Western blot,...
Type 2 diabetes (T2D) is a worldwide chronic disease that difficult to cure and causes heavy social burden. Early prediction of T2D can effectively identify high-risk populations facilitate earlier implementation appropriate preventive interventions. Various early models for have been proposed. However, these methods do not consider the following factors: 1) health examination records (HER) containing information before diagnosis; 2) rating clinical knowledge; 3) local global time-series...
Abstract Background The prevalence of hypertension is high and increasing in China recent years. treatment control calls for long-term management beyond hospital, which hard to implement traditional care settings. Integrated combined with information technology can promote high-quality healthcare services across the life-course. However, few studies have applied a customized integrated model community-based China, catering emerging “three-manager” mode. This study aims identify effectiveness...
Hypertension is a long-term medical condition. Electronic and mobile health care services can help patients to self-manage this However, not all management effective, possibly due different levels of patient engagement (PE) with services. Health provider follow-up an intervention promote PE blood pressure (BP) control.This study aimed discover characterize patterns hypertension self-management app, investigate the effects on PE, identify BP in each pattern.PE was represented as number days...
Peer support is a concept of substantial significance to health scientists and practitioners today due its focus shifting from disease treatment promotion. Effective incorporation peer relationships in support-enhancing interventions could improve quality care outcomes. More more cases chronic obstructive pulmonary (COPD) have been diagnosed nonsmokers. In this study, the effects peer-support nursing intervention on function life nonsmoking patients with COPD were investigated.A total 100...
Hypertension is a long-term medical condition. Mobile health (mHealth) services can help out-of-hospital patients to self-manage. However, not all management effective, possibly because the behavior mechanism and preferences of with various characteristics in hypertension were unclear.The purpose this study was (1) explore patient multibehavior engagement trails pathway-based self-management, (2) discover preference patterns, (3) identify different preferences.This included 863 hypertensive...
This work gathers the results of QuadD22 challenge, held in MICCAI 2022. We evaluate whether Deep Learning (DL) Techniques are able to improve quality diffusion MRI data clinical studies. To that end, we focused on a real study migraine, where differences between groups drastically reduced when using 21 gradient directions instead 61. Thus, asked participants augment dMRI acquired with only 61 via DL. The were evaluated TBSS which statistically compared episodic migraine chronic migraine.
This paper investigates the theoretical relationship between corporate governance, fair value accounting, and debt contracts. It primarily examines individual impacts of governance accounting on contracts, while also exploring influence accounting. The study emphasizes importance considering interests legal status creditors in context findings indicate that strong can reduce likelihood default company’s restructuring costs event a determine whether improved will increase or decrease costs....
This study summarizes the nursing experience of dental implant restoration in a patient with cerebral palsy and dentition defect. We applied PDCA mode throughout patient's treatment process observed significant positive outcomes. The surgery care proceeded smoothly, neurological functions remaining stable postoperatively. showed good osseointegration, healthy surrounding soft tissues, no signs bone loss radiographic examinations. oral hygiene remained consistent. case highlights...
The objective of this study is to evaluate the efficacy deep learning (DL) techniques in improving quality diffusion MRI (dMRI) data clinical applications. aims determine whether use artificial intelligence (AI) methods medical images may result loss critical information and/or hallucination false information. To assess this, focus was on angular resolution dMRI and a trial conducted migraine patients. number gradient directions had an impact white matter analysis results, with statistically...
Abstract Background Early-onset Alzheimer’s disease (EOAD) has more domain cognitive deficits and worse prognosis than late-onset (LOAD). However, changes to white matter fiber pathways subserving the structural networks are still unclear, mainly due difficulty of modeling crossing-fiber populations. Thus, we used recently established method, fixel-based analysis (FBA), investigate fiber-specific (WM) reduction patterns in EOAD LOAD. Methods We identified 31 EOAD, 45 LOAD, 64 younger 46...
Abstract Background: The prevalence of hypertension is high and increasing in China recent years. treatment control calls for long-term management beyond hospital, which hard to implement traditional care settings. Integrated combined with information technology can promote high-quality healthcare services across the life-course. However, few studies have applied a customized integrated model community-based China, catering emerging "three-manager" mode. This study aims identify...
The development of core literacy is the starting point and destination English teaching. When it comes to primary 
 school teaching, teachers should pay attention children’ recognition spelling words so as lay a good foundation for learning. Through Phonics, children can be taught decode speech, help them memorize improve their literacy. In this study, methods are used explore current situation cultivation in English, clear application effect Phonics training process. It found that...
With the emergence of CaaS, a cloud service model that can quickly build production environment, this has been widely used in industry. However, degree loose coupling various containers cluster and fine-grained level function division are often difficult to achieve people's expectations. In addition, it is desired effect terms security. Therefore, paper takes container-based computing clusters as main research object, proposes fine-grained, loosely coupled based on containers, called...
Diffusion MRI (dMRI) models play an important role in characterizing tissue microstructures, commonly the form of multi-compartmental biophysical that are mathematically complex and highly non-linear. Fitting these with conventional optimization techniques is prone to estimation errors requires dense sampling q-space. Here we present a learning-based framework for estimating microstructural parameters NODDI model, termed Microstructure Estimation Transformer Sparse Coding (METSCN). We tested...
With the rapid growth of Internet, problem data overload has become increasingly prominent. In this article, a digital music resource recommendation model combining deep learning (DL) and collaborative filtering (CF) algorithm is proposed to mine characteristics users' preferences, so that system can accurately effectively reflect personal adjust according preferences achieve individualization recommendations for different users. The simulation results show accuracy improved by 24.64%...