- Advanced Polymer Synthesis and Characterization
- Infant Health and Development
- Non-Destructive Testing Techniques
- Virus-based gene therapy research
- EEG and Brain-Computer Interfaces
- Advanced biosensing and bioanalysis techniques
- Surfactants and Colloidal Systems
- Environmental Chemistry and Analysis
- Infrastructure Maintenance and Monitoring
- Fractal and DNA sequence analysis
- Industrial Vision Systems and Defect Detection
- RNA Interference and Gene Delivery
- Neural dynamics and brain function
Tianjin University
2023-2025
Dalian University
2005-2006
Dalian University of Technology
2005-2006
Acupuncture is an important therapeutic method of traditional Chinese medicine and can effectively modulate brain disorders. The efficacy acupuncture hard to evaluate due lacking effective measurements activity. In this work, we design EEG-based monitoring system effect on human by extracting periodic-aperiodic features. Power spectral density estimated compute the adjusted power periodic oscillatory rhythm in EEG under stimulation. It exhibited that activity alpha band (8–12 Hz)...
Acupuncture stimulations in somatosensory system can modulate spatiotemporal brain activity and improve cognitive functions of patients with neurological disorders. The correlation between these dynamical responses is still unclear. We proposed a deep learning framework using electroencephalographic stimulated subjects to decode the needling processes various acupuncture manipulations performed on Zusanli acupoint. Contrastive representation integrated domain adaptation strategy was applied...
Abstract A series of pH‐sensitive lipids, 1a‐h [(2,3‐bis‐alkyl‐carbamoyloxy‐propyl)‐trialkylammonium halide] and 2a‐d (1‐dimethylamino‐2,3‐bis‐alkylcarbamoyloxy‐propane), with carbamate linkages between the hydrocarbon chains an ammonium or tertiary amine head, were synthesized for liposome‐mediated gene delivery. The variable length carbon quaternary neutral heads allowed us to identify structure‐function relationship showing how these factors would affect cationic lipid in delivery performance.
Efficiency of surface defect detection is largely improved with the application convolutional neural networks (CNNs). However, CNNs encounter difficulties in accurately modeling multiscale features defects due to inherent locality convolution. Additionally, existing methods for cross-level feature fusion introduce cumbersome computational complexity. Consequently, current struggle reconcile location accuracy efficiency, resulting poor performance real-time detection. To this end, we proposed...
Abstract A series of novel aryl oleic diethanolamide (AOD) surfactants with different hydrophobic groups were synthesized. An aromatic ring introduced to a long alkyl chain had significant effect on reducing water surface tension. The critical micelle concentration (CMC) and the tension (γ cmc ) at CMC investigated. was 4.56 × 10−8 mol/L 5.83 10−6 for AOD1:1 (molar ratio acid: = 1:1) corresponding γ 36.4 mN/m 39.3 mN/m. AOD1:2 1:2) in 1.21 10−7–9.98 31.6–34.4 Key words: diethanolamidearyl...