A5028260055- Machine Learning and ELM
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Face and Expression Recognition
- Multimodal Machine Learning Applications
- Adversarial Robustness in Machine Learning
- Advanced Neural Network Applications
- Software Reliability and Analysis Research
- RNA Interference and Gene Delivery
- Cloud Computing and Resource Management
- Advanced Malware Detection Techniques
- COVID-19 diagnosis using AI
- Autophagy in Disease and Therapy
- Software Engineering Research
- Nanoplatforms for cancer theranostics
- IoT and Edge/Fog Computing
- Graphene and Nanomaterials Applications
- Advanced biosensing and bioanalysis techniques
- Advanced Nanomaterials in Catalysis
- Endoplasmic Reticulum Stress and Disease
- Image Processing Techniques and Applications
- Extracellular vesicles in disease
- Text and Document Classification Technologies
- Cancer-related molecular mechanisms research
- Data Stream Mining Techniques
Shenzhen University
2016-2024
Peng Cheng Laboratory
2022-2024
Academy of Military Medical Sciences
2024
Civil Aviation University of China
2022
Beijing Institute of Technology
2020
Shenzhen Research Institute of Big Data
2016-2020
Tsinghua University
2010-2016
Center for Life Sciences
2014-2016
Beijing University of Chemical Technology
2015
Zhejiang Industry Polytechnic College
2015
A simple nanocarrier coated with chitosan and the pH-responsive charge-reversible polymer, PAH-Cit, was constructed using layer-by-layer assembly to deliver siRNA. Gold nanoparticles (AuNPs) were di-rectly reduced stabilized by (CS), forming a positively charged AuNP-CS core. Charge-reversible PAH-Cit polyethylenimine (PEI) sequentially deposited onto surface of through electrostatic interaction, PEI/PAH-Cit/AuNP-CS shell/core structure. After loading siRNA, cytotoxicity...
Aims: [Gd@C82(OH)22]n is a new type of nanoparticle with potent antineoplastic activity and low toxicity compared traditional drugs. In this study, we explored, for the first time, effect on cell cycle using human breast cancer MCF-7 umbilical vein endothelial ECV304 lines by flow cytometry. Methods: Cell viability was assessed through CCK-8 assay, tumor-bearing mice were examined after 2 weeks treatment [Gd@C82(OH)22]n. cycle-related gene expression detected microarray confirmed real-time...
Multifunctional nanoparticles as theranostic tools hold great potential for its unique and efficient way to visualize the process of disease treatment. However, toxicity conventional fluorescent labels difficulty functionalization limit their widespread use. Recently, a number amino-rich polymers have demonstrated high luminescent fluorescence but rarely showed in vivo imaging due blue fluorescence. Here, general route has been found construct polymer-based multifunctional combined drug...
To address current medical challenges, there is an urgent need to develop drug delivery systems with multiple functions, such as simultaneous stimuli-responsive release and real-time imaging. Biocompatible polymers have great potential for constructing smart multifunctional drug-delivery through grafting other functional ligands. More importantly, novel biocompatible intrinsic fluorescence emission can work theranostic nanomedicines imaging delivery. Herein, we developed a highly fluorescent...
As a critical component of the security architecture 5G network, authentication protocol plays role first safeguard in ensuring communication security, such as confidentiality user data. EAP-TLS is one protocols being defined standards to provide key services specific IoT circumstances. This currently under process standardization, and it vital guarantee that standardized free from any design flaws, which may result severe vulnerabilities serious consequences when implemented real systems....
Breast cancer is the most commonly diagnosed worldwide, and early detection essential for reducing mortality rates. Digital mammography currently best standard detection, as it can assist physicians in treating disease. However, inaccurate diagnoses from are common lead to patients undergoing unnecessary tests treatments. To address this challenge, deep-learning techniques have shown promising results improving accuracy reliability of breast detection. existing methods face two primary...
Autophagy is an intracellular degradation process to clear up aggregated proteins or aged and damaged organelles. The Beclin1-Vps34-Atg14L complex essential for autophagosome formation. However, how the formation regulated unclear. Here, we show that Dapper1 (Dpr1) acts as a critical regulator of promote autophagy. Dpr1 ablation in central nervous system results motor coordination defect accumulation p62 ubiquitinated proteins. increases indicated by elevated puncta LC3, Atg14L DFCP1 (Double...
Although endohedral metallofullerenol [Gd@C(82)(OH)(22)](n) nanoparticles have anti-tumor efficiency and mostly deposit in the bones of mice, how these act bone marrow stromal cells (MSCs) remains largely unknown. Herein, we observed that facilitated differentiation MSCs toward osteoblasts, as evidenced by enhancement alkaline phosphatase (ALP) activity mineralized nodule formation upon nanoparticle treatment. Mechanistically, effect on ALP was inhibited addition noggin an inhibitor BMP...
The surface charge of a nanostructure plays critical role in modulating blood circulation time, nanostructure–cell interaction, and intracellular events. It is unfavorable to have positive charges on the before arriving at disease site because positively charged nanostructures interact strongly with components, resulting rapid clearance from blood, suboptimal targeted accumulation tumor site. Once site, however, accelerates uptake by cells promotes release payloads lysosomes cytosol or...
In the present work, porous zirconia nanostructures with different crystalline phases and structures were fabricated at low temperatures via a facile, green, cost-effective two-step solution-phase strategy involving remarkably rapid nucleation following kinetically controlled hydrothermal process. ZrO2 achieved simply by varying concentration of added sodium borohydride precipitant without use any additional surfactants templates, specific surface area could reach as high 275 m2 g–1....
Extreme learning machine (ELM) is a widely used neural network with random weights (NNRW), which has made great contributions to many fields. However, the relationship between parameters and performance of ELM not been fully investigated yet, i.e. impact number hidden layer nodes, randomization range input layer, threshold type activation functions. In this paper, eight benchmark functions are study relationship. We have some interesting findings, such as more nodes cannot guarantee best...