A5077607729- Statistical Methods and Inference
- Bayesian Methods and Mixture Models
- Advanced Statistical Methods and Models
- Asthma and respiratory diseases
- Metaheuristic Optimization Algorithms Research
- Face and Expression Recognition
- Nutrition and Health in Aging
- Tracheal and airway disorders
- Ultrasound Imaging and Elastography
- Neonatal Respiratory Health Research
- IL-33, ST2, and ILC Pathways
- Evolutionary Algorithms and Applications
- Natural Language Processing Techniques
- Topic Modeling
- Medical Imaging and Pathology Studies
- Anomaly Detection Techniques and Applications
- Ultrasonics and Acoustic Wave Propagation
- Domain Adaptation and Few-Shot Learning
- Complex Network Analysis Techniques
- Bayesian Modeling and Causal Inference
- Cardiovascular Function and Risk Factors
- Multi-Criteria Decision Making
- Photoacoustic and Ultrasonic Imaging
- Lung Cancer Diagnosis and Treatment
- Advanced Decision-Making Techniques
Southern Medical University
2021-2025
Nanfang Hospital
2021-2025
Ministry of Education of the People's Republic of China
2025
University of Science and Technology of China
2024
General Hospital of Shenyang Military Region
2010-2023
Wuhan University of Technology
2023
Yunnan University
2021
Dalian Neusoft University of Information
2020-2021
Neusoft (China)
2021
University of Pennsylvania
2015-2018
Abstract Introduction Heart failure with preserved ejection fraction (HFpEF) is a complex condition characterized by metabolic dysfunction and myocardial lipotoxicity. The roles of PTEN‐induced kinase 1 (PINK1) peroxiredoxin‐2 (Prdx2) in HFpEF pathogenesis remain unclear. Objective This study aimed to investigate the interaction between PINK1 Prdx2 mitigate cardiac diastolic HFpEF. Methods In vivo, PINK1‐knockout mice cardiac‐specific PINK1‐overexpressing transgenic were used establish an...
Noise Contrastive Estimation (NCE) is a powerful parameter estimation method for log-linear models, which avoids calculation of the partition function or its derivatives at each training step, computationally demanding step in many cases. It closely related to negative sampling methods, now widely used NLP. This paper considers NCE-based conditional models. Conditional models are frequently encountered practice; however there has not been rigorous theoretical analysis NCE this setting, and...
The problem of estimating the mean a normal vector with known but unequal variances introduces substantial difficulties that impair adequacy traditional empirical Bayes estimators. By taking different approach treats as part random observations, we restore symmetry and thus effectiveness such methods. We suggest group-linear estimator, which collects observations similar applies spherically symmetric estimator to each group separately. proposed is motivated by new oracle rule stronger than...
Canonical Correlation Analysis (CCA) is a widely used spectral technique for finding correlation structures in multi-view datasets. In this paper, we tackle the problem of large scale CCA, where classical algorithms, usually requiring computing product two huge matrices and matrix decomposition, are computationally storage expensive. We recast CCA from novel perspective propose scalable memory efficient Augmented Approximate Gradient (AppGrad) scheme top $k$ dimensional canonical subspace...
Semantic image segmentation can be accomplished by assigning a proper object category label to each meaningful region of an image. Beyond the original bottom-up models, use top-down categorization information has been applied semantic improve performance. An excellent example such scheme is integrate Conditional Random Field (CRF) model with sparse dictionary learning. However, existing solutions merely consider discrimination dictionaries obtain better codes, without considering inherent...
Latent space models are effective tools for statistical modeling and exploration of network data. These can effectively model real world characteristics such as degree heterogeneity, transitivity, homophily, etc. Due to their close connection generalized linear models, it is also natural incorporate covariate information in them. The current paper presents two universal fitting algorithms networks with edge covariates: one based on nuclear norm penalization the other projected gradient...
Noise Contrastive Estimation (NCE) is a powerful parameter estimation method for log-linear models, which avoids calculation of the partition function or its derivatives at each training step, computationally demanding step in many cases. It closely related to negative sampling methods, now widely used NLP. This paper considers NCE-based conditional models. Conditional models are frequently encountered practice; however there has not been rigorous theoretical analysis NCE this setting, and...
To explore the association between dietary fiber and heart failure (HF).Data were collected from 2009-2018 National Health Nutrition Examination Survey. Dietary intake data obtained two 24-h recall interviews. Logistic regression restricted cubic spline models used to of intakes total, cereal, fruit, vegetable with HF prevalence.A total 21869 adults included in this study. After adjusting for multiple confounding factors, odds ratios (OR) 95% confidence intervals (CI) was 0.49 (0.28 0.87, P...
To improve the global search ability under condition of ensuring convergence speed, it is still a major challenge for most meta-heuristic optimization algorithms. The Moth-Flame Optimization (MFO) algorithm an innovative nature-inspired algorithm. precision solution and to quicken speed increase stability MFO, ameliorated Moth-flame (A-MFO) that combines crisscross with MFO proposed solve this problems are mentioned above. performance A-MFO demonstrated on six benchmark mathematical function...
Background The prevalence of asthma and allergic diseases has risen in recent decades. etiology not been entirely elucidated. Objective In this study, we investigated the possibility that programmed vaccination China may have a potential role diseases. Methods animal model, newborn BALB/c mice were randomly divided into three groups: vaccine plus ovalbumin (OVA), OVA, control. OVA only group inoculated with vaccines by following National Vaccines Inoculation Program China. Mice groups...
Smoking or occupational exposure leads to low concentrations of acrolein on the surface airways. Acrolein is involved in pathophysiological processes various respiratory diseases. Reports showed that induced an increase mitochondrial reactive oxygen species (mROS). Furthermore, exogenous H₂O₂ was found intracellular Zn2⁺ concentration ([Zn2⁺]ᵢ). However, specific impact changes levels has not been fully investigated. Therefore, this study aimed investigate effects mROS and [Zn2⁺]ᵢ A549...
Purpose The aim of this study was to investigate the efficacy and safety tratinterol hydrochloride in bronchial asthma (BA) treatment.Methods Patients enrolled were distributed randomly into a treatment group (tratinterol hydrochloride) an active control (procaterol treated for 2 weeks after running-in. end points changes pulmonary function clinical symptoms administration. Safety indices physical examinations, laboratory testing spontaneous reporting.Findings We 732 subjects, −365 367...
Abstract Background Peripheral lung lesions can be sampled using various techniques, including computer tomography-guided transthoracic needle aspiration, electromagnetic navigation bronchoscopy, virtual and radial probe endobronchial ultrasound transbronchial biopsy. Mediastinal techniques like convex ultrasound-guided aspiration (CEBUS-TBNA) endoscopic ultrasound-fine-needle aspiration. However, effective, safe for adjacent to the segmental or subsegmental bronchi are lacking. Herein, we...