A5102126066- Flame retardant materials and properties
- Phytochemicals and Antioxidant Activities
- Synthesis and properties of polymers
- Composting and Vermicomposting Techniques
- EEG and Brain-Computer Interfaces
- Bamboo properties and applications
- Essential Oils and Antimicrobial Activity
- Arctic and Antarctic ice dynamics
- Polymer composites and self-healing
- Chromatography in Natural Products
- Plant biochemistry and biosynthesis
- Natural product bioactivities and synthesis
- Analytical Chemistry and Chromatography
- ECG Monitoring and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Layered Double Hydroxides Synthesis and Applications
- Medicinal Plant Pharmacodynamics Research
- Domain Adaptation and Few-Shot Learning
- Tannin, Tannase and Anticancer Activities
- Data Stream Mining Techniques
- Antioxidants, Aging, Portulaca oleracea
- Explainable Artificial Intelligence (XAI)
- Pharmacological Receptor Mechanisms and Effects
- Icing and De-icing Technologies
- Natural Products and Biological Research
Rice University
2024-2025
Institute of Chemical Industry of Forest Products
2008-2024
China General Nuclear Power Corporation (China)
2023
Shanghai Jiao Tong University
2021
Collaborative Innovation Centre for Advanced Ship and Deep-Sea Exploration
2021
Chinese Academy of Forestry
2020
Nanjing Library
2017
Institute of Chemistry
2012
Self-supervised learning has revolutionized medical imaging by enabling efficient and generalizable feature extraction from large-scale unlabeled datasets. Recently, self-supervised foundation models have been extended to three-dimensional (3D) computed tomography (CT) data, generating compact, information-rich embeddings with 1408 features that achieve state-of-the-art performance on downstream tasks such as intracranial hemorrhage detection lung cancer risk forecasting. However, these...
Delirium is a common neurological complication in patients with advanced heart failure (ADHF) following left ventricular assist device (LVAD) implantation, significantly impacting recovery. This study aimed to analyze non-contrast computed tomography (CT) scans of the brain ADHF undergoing LVAD implantation determine association between pre-existing atrophy and postoperative delirium. A involving 166 was conducted from March 2020 July 2023. Non-contrast CT were analyzed using quantitative...
Subcritical water extraction (SWE), a ‘green’ and efficient technology, was applied to extract phenolic antioxidants from pomegranate peel in this study.
Federated learning is a recent development in the machine area that allows system of devices to train on one or more tasks without sharing their data single location device. However, this framework still requires centralized global model consolidate individual models into one, and synchronously, which both can be potential bottlenecks for using federated learning. In paper, we propose novel method asynchronous decentralized lifelong (ADFLL) inherits merits multiple simultaneously need...
While Deep Reinforcement Learning has been widely researched in medical imaging, the training and deployment of these models usually require powerful GPUs. Since imaging environments evolve rapidly can be generated by edge devices, algorithm is required to continually learn adapt changing environments, adjust low-compute devices. To this end, we developed three image coreset algorithms compress denoise images for selective experience replayed-based lifelong reinforcement learning. We...
Summary Cold‐pressed Perilla frutescens seed flour (CP‐PFSF) is a potential source of natural antioxidants. In this study, different methods were used to extract both soluble and insoluble phenolics from CP‐PFSF. Also, the phenolic profiles antioxidant properties compared. Results showed that could be extracted using aqueous‐organic solvents, where 80% acetone resulted in highest extraction yield activities. Insoluble remaining residues released by acid or alkaline hydrolysis, hydrolysis...
Abstract Lipophilic extractive metabolites from needles and defoliated twigs of Pinus armandii P. kwangtungensis were studied by GC/MS. Needles contained predominantly 15‐ O ‐functionalized labdane type acids (anticopalic acid), fatty acids, nonacosan‐10‐ol, sterols, nonacosan‐10‐ol sterol saponifiable esters, acylglycerols, while no anticopalic acid, but more trinorlabdane (14,15,16‐trinor‐8(17)‐labdene‐13,19‐dioic acid) other its esters. The major compounds in the twig extract abietane...
Styrene-functional hyperbranched viologen (SHBV2+) was successfully synthesized and characterized in detail by FTIR, 1H NMR, XPS spectra, respectively. Subsequently, it cured visible light to obtain cross-linked film. It is noteworthy that SHBV2+ film possessed better photochromic electrochromic performances. After UV illumination for 60 s, the can swiftly change its color from pale yellow deep bluish violet, whereas absorbance of at 610 nm did not significantly still retained about 0.423...
Alzheimer's disease (AD) is a very common neurodegenerative disorder in the elderly and brings considerable financial social problems worldwide. In this study, polyprenols were firstly evaluated effects on cognitive deficits neuropathology APP/PS1 mice model of AD. At 3 months old, divided into group; low, middle, high dosage positive drug group. Age-matched wild-type chosen control The administration by oral gavage lasted 6 months. Polyprenols treatment significantly improved impairment...
Stroke continues to be a major adverse event in advanced congestive heart failure (CHF) patients after continuous-flow left ventricular assist device (CF-LVAD) implantation. Abnormalities mitochondrial oxidative phosphorylation (OxPhos) have been critically implicated the pathogenesis of neurodegenerative diseases and cerebral ischemia. We hypothesize that prior stroke may associated with systemic OxPhos abnormalities, impaired more post-CF-LVAD risk developing new stroke. studied 50 CF-LVAD...
Rosmarinic acid (RA) is a natural active compound widely found in many plants belonging to the family of Lamiaceae, Boraginaceae, and so on, which has various important bioactivities, including being anti-oxidative, anti-inflammatory, antiviral, etc. Herein, novel hydrophilic magnetic molecularly imprinted polymers (HMMIPs) with regular core-shell structure were successfully developed using RA as template molecule, acrylamide (AM) functional monomer, N-N ’methylenebisacrylamide (MBA)...
Objective Arrhythmia detection and classification are challenging because of the imbalanced ratio normal heartbeats to arrhythmia complicated combinations types. on wearable electrocardiogram monitoring devices poses a further unique challenge: unlike clinically used devices, environments in which deployed drastically different from carefully controlled clinical environment, leading significantly more noise, thus making difficult. Methods We propose novel hierarchical model based CNN+BiLSTM...
Self-supervised foundation models have recently been successfully extended to encode three-dimensional (3D) computed tomography (CT) images, with excellent performance across several downstream tasks, such as intracranial hemorrhage detection and lung cancer risk forecasting. However, self-supervised learn from complex data distributions, questions arise concerning whether these embeddings capture demographic information, age, sex, or race. Using the National Lung Screening Trial (NLST)...