A5101414555- Parkinson's Disease Mechanisms and Treatments
- Phytochemicals and Antioxidant Activities
- Autophagy in Disease and Therapy
- Data-Driven Disease Surveillance
- Microbial Metabolites in Food Biotechnology
- Cerebrovascular and Carotid Artery Diseases
- Brain Tumor Detection and Classification
- Urinary Tract Infections Management
- Machine Learning in Healthcare
- Botanical Research and Applications
- Forecasting Techniques and Applications
- Visual Attention and Saliency Detection
- Acute Ischemic Stroke Management
- Food Quality and Safety Studies
- Image Processing and 3D Reconstruction
- Advanced Neural Network Applications
- Gut microbiota and health
- Cannabis and Cannabinoid Research
- 3D Shape Modeling and Analysis
- Time Series Analysis and Forecasting
- Anomaly Detection Techniques and Applications
- Kidney Stones and Urolithiasis Treatments
- Polysaccharides and Plant Cell Walls
- Muscle Physiology and Disorders
Curtin University
2025
Beijing Forestry University
2024
Southwest University
2023
Nanjing University of Science and Technology
2023
Sichuan University
2021
West China Hospital of Sichuan University
2021
The Affiliated Yongchuan Hospital of Chongqing Medical University
2018-2020
Chongqing Medical University
2018-2020
Huazhong University of Science and Technology
2013
<title>Abstract</title> The advancement of high-quality camera technology has increased the demand for efficient video analysis methods. This paper proposes a novel approach (TRLRTTV) that combines Low Rank Tensor Ring decomposition and Total Variation regularization moving objects detection (MOD) to improve performance. For static background detection, tensor ring (TR) is utilized extract low rank information. objects, total variation model with l 1/2 employed ensure representation...
BackgroundA prediction model for tuberculosis incidence is needed in China which may be used as a decision-supportive tool planning health interventions and allocating resources. MethodsThe autoregressive integrated moving average (ARIMA) was first constructed with the data of report rate Hubei Province from Jan 2004 to Dec 2011.The 2012 Jun were validate model. Then generalized regression neural network (GRNN)-ARIMA combination established based on ARIMA Finally, fitting accuracy two models...
Calcium oxalate (CaOx) stones are the most common type of kidney and associated with high recurrence, short chain fatty acids (SCFAs), inflammation. However, it remains uncertain whether SCFAs affect formation CaOx through immunomodulation. We first performed mass cytometry (CyTOF) RNA sequencing on immune cells glyoxylate-induced crystals (to elucidate landscape cell population) explored role in renal stone identified 29 distinct subtypes kidneys crystals, where CX3CR1 + CD24 - macrophages...
Stroke is one of the main causes disability and death, it can be divided into hemorrhagic stroke ischemic stroke. Ischemic more common, about 8 out 10 patients suffer from In clinical practice, doctors diagnose by using computed tomography angiography (CTA) image to accurately evaluate collateral circulation in patients. This imaging information great significance assisting determine patient's treatment plan prognosis. Currently, progress has been made field computer-aided diagnosis...
To improve the stability of anthocyanins, and explore mechanism maintenance biological activities, anthocyanins Aronia melanocarpa L. (AAM) were extracted from with an extraction rate 3.07 mg/g. Then, effect polysaccharides (carboxymethyl cellulose, pectin, xanthan gum (XG)) on AAM investigated. Finally, was analyzed by scanning electron microscopy multispectral technique. The results showed that AAM-polysaccharides complex combined hydrogen bond, cation-π interaction electrostatic...
Abstract BACKGROUND The existence of multiple phenolic hydroxyl groups in anthocyanins makes their structure unstable and leads to the degradation anthocyanins. At present, there are few studies on stability physiological activity Aronia melanocarpa L. by different polysaccharides. present study investigated effects carboxymethyl cellulose (CMC), pectin xanthan gum (XG) biological activities A . RESULTS (AAM) were successfully extracted from with an extraction rate 3.07 mg g −1 single factor...
In the field of machine learning, we realize that success does not depend solely on structure and number parameters model, but also model evaluation. cla-ssification tasks, when faced with unlabeled data, traditional methods can no longer accurately assess confidence level predictions. Therefore, this paper proposes a novel evaluation method to evaluate difference between prediction results clustering by selecting key features measure in predicting data. With approach, were able model's...