A5062749686- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Bayesian Methods and Mixture Models
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Obsessive-Compulsive Spectrum Disorders
- Bayesian Modeling and Causal Inference
- Advanced MRI Techniques and Applications
- Advanced Statistical Methods and Models
- Remote Sensing and LiDAR Applications
- Attention Deficit Hyperactivity Disorder
- Gene expression and cancer classification
- 3D Surveying and Cultural Heritage
- Neural dynamics and brain function
- Acute Kidney Injury Research
- Bioinformatics and Genomic Networks
- ECG Monitoring and Analysis
- Parkinson's Disease Mechanisms and Treatments
- Satellite Image Processing and Photogrammetry
- EEG and Brain-Computer Interfaces
- Cryospheric studies and observations
- Environmental Changes in China
- Dementia and Cognitive Impairment Research
- Land Use and Ecosystem Services
- Fault Detection and Control Systems
Nanjing Drum Tower Hospital
2025
Harbin Medical University
2025
University of Cincinnati
2019-2024
Shanghai Jiao Tong University
2018-2024
Shanghai Ocean University
2024
Peking University
2017-2021
XinHua Hospital
2020-2021
Shanghai Mental Health Center
2018-2021
Hanoi University of Mining and Geology
2017-2021
Inha University
2019
Microbiome research is now moving beyond the compositional analysis of microbial taxa in a sample. Increasing evidence from large human microbiome studies suggests that functional consequences changes intestinal may provide more power for studying their impact on inflammation and immune responses. Although 16S rRNA one most popular cost-effective method to profile compositions, marker-gene sequencing cannot direct information about genes are present genomes community members. Bioinformatic...
Autism Spectrum Disorder (ASD) is a lifelong neurodevelopmental condition characterized by atypical brain growth. While advances in neuroimaging and openly sharing large-sample datasets such as the Brain Imaging Data Exchange (ABIDE) have improved understanding of ASD, most studies focus on adolescents adults, with early development-critical for diagnosis intervention-remaining underexplored. Existing research predominantly involves Western samples, offering limited insight generalizability...
To explore the influences of digital media use on core symptoms, emotional state, life events, learning motivation, executive function (EF) and family environment children adolescents diagnosed with attention deficit hyperactivity disorder (ADHD) during novel coronavirus disease 2019 (COVID-19) pandemic.A total 192 participants aged 8-16 years who met diagnostic criteria for ADHD were included in study. Children scoring higher than predetermined cut-off point self-rating questionnaires...
Parkinson's disease (PD) is a progressive, chronic, and neurodegenerative disorder that primarily diagnosed by clinical examinations magnetic resonance imaging (MRI). In this study, we proposed machine learning based radiomics method to predict PD. Fifty healthy controls (HC) along with 70 PD patients underwent resting-state (rs-fMRI). For all subjects, extracted five types of 6664 features, including mean amplitude low-frequency fluctuation (mALFF), regional homogeneity (mReHo), functional...
Covariance estimation and selection for high-dimensional multivariate datasets is a fundamental problem in modern statistics. Gaussian directed acyclic graph (DAG) models are popular class of used this purpose. DAG introduce sparsity the Cholesky factor inverse covariance matrix, pattern turn corresponds to specific conditional independence assumptions on underlying variables. A variety priors have been developed recent years Bayesian inference models, yet crucial convergence properties...
Background Brain tumor patients often associated with losses of the small-world configuration and neurocognitive functions before operations. However, few studies were performed on impairments frontal lobe low-grade gliomas (LGG) after resection using network features. Methodology/Principal Findings To detect differences in whole brain topology among LGG operation, a combined study assessment graph theoretical analysis fMRI data was performed. We collected resting-state 12 carefully selected...
Recently remarkable advancement development of unmannedaerial vehicles (UAVs) has been observed and their applications have beenshown in many fields such as agriculture, industry, environmentalmanagement. However, the mining application UAVtechnology remains potential. This paper presents a low-cost vehicle technology-based system for 3D mapping air qualitymonitoring at open-pit mine sites Vietnam. The includes severaldust sensors that are mounted on rotary-wing type UAV. Thesystem collects...
To investigate attention deficit hyperactivity disorder (ADHD) core symptoms that impair executive function (EF), emotional state, learning motivation, and the family parenting environment of children adolescents with ADHD, both without severe difficulties. This will be explored within an online during period COVID-19 pandemic. A total 183 ADHD diagnosed using DSM-V criteria were selected divided into 2 groups high difficulties (HDOL) low (LDOL) according to answer Home Quarantine...
Background: Changes in the amplitude of low-frequency fluctuations (ALFF) and fractional (fALFF) have provided stronger evidence for pathophysiology cognitive impairment. Whether altered patterns ALFF fALFF differ amnestic impairment (aMCI) vascular mild (vMCI) is largely unknown. The purpose this study was to explore ALFF/fALFF changes two diseases further whether they contribute diagnosis differentiation these diseases. Methods: We searched PubMed, Ovid, Web Science databases articles on...
The outbreak of COVID-19, caused by the SARS-CoV-2 coronavirus, has been declared a pandemic World Health Organization (WHO) in March, 2020 and rapidly spread to over 210 countries territories around world. By December 24, there are 77 M cumulative confirmed cases with more than 1.72 deaths worldwide. To mathematically describe dynamic COVID-19 pandemic, we propose time-dependent SEIR model considering incubation period. Furthermore, take immunity, reinfection, vaccination into account SEVIS...
The intricate and varied clinical presentations of systemic sclerosis (SSc) pose significant challenges for treatment. While several studies have investigated the therapeutic potential mesenchymal stem cell transplantation (MSCT), clarity its long-term outcomes SSc patients is still lacking. Data on MSCT were extracted from medical records inpatients at Nanjing Drum Tower Hospital between January 2013 December 2022. Additionally, Baseline characteristics survival ascertained telephone...
Objective: The imbalance in neurotransmitter and neuronal metabolite concentration within cortico-striato-thalamo-cortical (CSTC) circuit contributes to obsessive–compulsive disorder’s (OCD) onset. Previous studies showed that glutamate mediated upregulation of resting-state activity healthy people. However, there have been few investigating the correlational features between functional neurochemical alterations OCD. Methods: We utilize a combined magnetic resonance imaging (rs-fMRI) proton...
Abstract Introduction The current diagnosis of Parkinson's disease (PD) comorbidity with depression (DPD) largely depends on clinical evaluation. However, the modality may tend to lack precision in detecting PD depression. A radiomic approach that combines functional connectivity and activity scores has potential achieve accurate differential between DPD. Methods In this study, we aimed employ extract large‐scale features for differentiating among DPD, no (NDPD), healthy controls (HC). We...
Depression is a prominent and highly prevalent nonmotor feature in patients with Parkinson's disease (PD). The neural pathophysiologic mechanisms of PD depression (DPD) remain unclear. current diagnosis DPD largely depends on clinical evaluation.We proposed new family multinomial tensor regressions that leveraged whole-brain structural magnetic resonance imaging (MRI) data to discriminate among 196 non-depressed (NDPD) patients, 84 200 healthy controls (HC), assess the special brain...
The choice of tuning parameters in Bayesian variable selection is a critical problem modern statistics. In particular, for linear regression with non-local priors, the scale parameter prior density an important which reflects dispersion around zero, and implicitly determines size coefficients that will be shrunk to zero. Current approaches treat as given, suggest choices based on coverage/asymptotic considerations. this paper, we consider fully approach introduced (Wu, 2016) pMOM appropriate...