A5057694255- Advanced Neural Network Applications
- Advanced biosensing and bioanalysis techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Nanomaterials in Catalysis
- Autonomous Vehicle Technology and Safety
- Thermochemical Biomass Conversion Processes
- Adversarial Robustness in Machine Learning
- Nanoplatforms for cancer theranostics
- Video Surveillance and Tracking Methods
- Advanced Combustion Engine Technologies
- Spine and Intervertebral Disc Pathology
- Graphene and Nanomaterials Applications
- Metal-Organic Frameworks: Synthesis and Applications
- Biosensors and Analytical Detection
- Combustion and flame dynamics
- Lignin and Wood Chemistry
- Musculoskeletal pain and rehabilitation
- RNA Interference and Gene Delivery
- Medical Imaging and Analysis
- Corporate Social Responsibility Reporting
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Traffic Prediction and Management Techniques
- Industrial Vision Systems and Defect Detection
- Heat transfer and supercritical fluids
- interferon and immune responses
Sun Yat-sen University
2022-2025
Fifth Affiliated Hospital of Sun Yat-sen University
2022-2025
Southern Medical University
2024-2025
Shanghai Jiao Tong University
2006-2024
Wuhan Textile University
2024
State Key Laboratory of Oncogene and Related Genes
2021-2024
Northern University of Malaysia
2024
XinHua Hospital
2024
University of Waterloo
2024
Wenzhou Medical University
2022
Effective therapeutic strategies for myocardial ischemia/reperfusion (I/R) injury remain elusive. Targeting reactive oxygen species (ROS) provides a practical approach to mitigate damage following reperfusion. In this study, we synthesize an antioxidant nanozyme, equipped with single-Platinum (Pt)-atom (PtsaN-C), protecting against I/R injury. PtsaN-C exhibits multiple enzyme-mimicking activities ROS scavenging high efficiency and stability. Mechanistic studies demonstrate that the excellent...
Abstract Against the backdrop of sustainable development, enterprises, general public, and regulatory bodies are exhibiting an escalating level concern regarding performance in environmental stewardship, social responsibility, corporate governance collectively referred to as ESG (Environmental, Social Responsibility, Corporate Governance). This research, from vantage point external fiscal policy, investigates examination impact tax incentives on performance. Drawing upon panel data spanning...
The CRISPR-Cas12a system has been widely applied to genome editing and molecular diagnostics. However, off-target cleavages false-positive results remain as major concerns in Cas12a practical applications. Herein, we propose a strategy by utilizing the 2'-O-methyl (2'-OMe) modified guide RNA (gRNA) promote Cas12a's specificity. Gibbs free energy analysis demonstrates that 2'-OMe modifications at 3'-end of gRNA effectively suppress overall non-specific affinity while maintaining high...
In this work, tungsten trioxide (WO 3 ) films are prepared on carbon cloth using a one-step hydrothermal method.
Aim Accurate severity grading of lumbar spine disease by magnetic resonance images (MRIs) plays an important role in selecting appropriate treatment for the disease. However, interpreting these complex MRIs is a repetitive and time-consuming workload clinicians, especially radiologists. Here, we aim to develop multi-task classification model based on artificial intelligence automated disc herniation (LDH), central canal stenosis (LCCS) nerve roots compression (LNRC) at axial MRIs. Methods...
Abstract The inefficient clearance of deep tumors and metastatic lesions greatly hinders the clinical applications photodynamic therapy (PDT). Inducing robust immunogenic cell death (ICD) is crucial for improving PDT outcomes, as ICD‐mediated T‐cell adaptive immune responses suppress tumor recurrence metastasis. Sustained endoplasmic reticulum (ER) stress essential activating ICD, however, inadequate photosensitizer enrichment in ER cell‐protective mechanisms, such unfolded protein response...
Retrospective cohort study. To develop machine learning (ML) models integrating clinical/imaging variables for predicting 3- and 6-month outcomes of radiofrequency (RF) treatment in lumbar facetogenic pain, an independent temporal validation was used to evaluate the model's performance. Shapley Additive Explanations (SHAP) analysis utilized identify key construct a simplified model. Early identification RF-responsive patients remains challenging, with limited non-invasive prognostic tools...
Abstract Background The severity assessment of lumbar disc herniation (LDH) on MR images is crucial for selecting suitable surgical candidates. However, the interpretation time‐consuming and requires repetitive work. This study aims to develop evaluate a deep learning‐based diagnostic model automated LDH detection classification axial T2‐weighted images. Methods A total 1115 patients were analyzed in this retrospective study; both development dataset (1015 patients, 15 249 images) an...
Abstract Nowadays, the main obstacle for further miniaturization and integration of nucleic acids point‐of‐care testing devices is lack low‐cost high‐performance heating materials supporting reliable amplification. Herein, reduced graphene oxide hybridized multi‐walled carbon nanotubes nano‐circuit integrated into an ingenious paper‐based heater developed, which a analytical device (named HiPAD). The coronavirus disease 2019 (COVID‐19) pandemic caused by severe acute respiratory syndrome 2...
Abstract Mass cytometry, also called cytometry by time‐of‐flight (CyTOF), is an emerging powerful proteomic analysis technique that utilizes metal chelated polymer (MCP) as mass tags for interrogating high‐dimensional biomarkers simultaneously on millions of individual cells. However, under the typical polymer‐based tag system, sensitivity and multiplexing detection ability has been highly restricted. Herein, a new structure based nanometal organic framework (NMOF) reported multiparameter...
We consider the problem of cross-sensor domain adaptation in context LiDAR-based 3D object detection and propose Stationary Object Aggregation Pseudo-labelling (SOAP) to generate high quality pseudo-labels for stationary objects. In contrast current state-of-the-art indomain practice aggregating just a few input scans, SOAP aggregates entire sequences point clouds at level reduce sensor gap. Then, by means what we call quasi-stationary training spatial consistency post-processing, model...
Abstract The boosting exploitation of graphene oxide (GO) increases exposure risk to human beings. However, as primary defender in the first immune line, neutrophils’ mechanism defensive behavior toward GO remains unclear. Herein, we discovered that neutrophils recognize and defensively degrade a lateral dimension dependent manner. micrometer‐sized (mGO) induces NETosis by releasing neutrophil extracellular traps (NETs), while nanometer‐sized (nGO) elicits degranulation. two behaviors are...
3D object detection is an essential part of automated driving, and deep neural networks (DNNs) have achieved state-of-the-art performance for this task. However, models are notorious assigning high confidence scores to out-of-distribution (OOD) inputs, that is, inputs not drawn from the training distribution. Detecting OOD challenging safe deployment models. has been studied extensively classification task, but it received enough attention specifically LiDAR-based detection. In paper, we...
Self-supervised learning (SSL) is an emerging technique that has been successfully employed to train convolutional neural networks (CNNs) and graph (GNNs) for more transferable, generalizable, robust representation learning. However its potential in motion forecasting autonomous driving rarely explored. In this study, we report the first systematic exploration assessment of incorporating self-supervision into forecasting. We propose investigate four novel self-supervised tasks with...
Systemic sclerosis (SSc) is an autoimmune disease characterized by extensive skin and internal organ fibrosis. However, the mechanism underlying fibrosis remains unclear, effective treatments for halting or reversing are lacking. In this study, single-cell RNA sequencing used to obtain a comprehensive overview of cells from patients with SSc healthy controls. A subset basal high chitinase 3-like 1 (Chi3L1) expression, which potentially plays important role in fibroblast activation,...