- Gold and Silver Nanoparticles Synthesis and Applications
- Advanced biosensing and bioanalysis techniques
- Advanced Neural Network Applications
- Advanced Nanomaterials in Catalysis
- Human Pose and Action Recognition
- Biosensors and Analytical Detection
- Computational Drug Discovery Methods
- Mercury impact and mitigation studies
- Carbon and Quantum Dots Applications
- Molecular Sensors and Ion Detection
- Electrochemical sensors and biosensors
- Phytochemicals and Antioxidant Activities
- Dye analysis and toxicity
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Video Surveillance and Tracking Methods
- High-Temperature Coating Behaviors
- Identification and Quantification in Food
- Spectroscopy and Chemometric Analyses
- High Entropy Alloys Studies
- Nanocluster Synthesis and Applications
- Advanced Chemical Sensor Technologies
- Generative Adversarial Networks and Image Synthesis
- Handwritten Text Recognition Techniques
- Quinazolinone synthesis and applications
Tsinghua University
2024-2025
Jiangnan University
2020-2025
Nanjing University of Chinese Medicine
2024-2025
Zhengzhou University
2024-2025
Ministry of Ecology and Environment
2025
Nanjing University of Information Science and Technology
2025
Light Industry Hangzhou Electromechanical Design Institute
2020-2024
University Town of Shenzhen
2024
Tongji University
2024
Xidian University
2021-2024
The group IV-VI compound tin selenide (SnSe) has recently attracted particular interest due to its unexpectedly low thermal conductivity and high power factor shows great promise for thermoelectric applications. With an orthorhombic lattice structure, SnSe displays intriguing anisotropic properties the symmetry of puckered in-plane structure. When materials, such as SnSe, have decreased dimensionality, their conversion efficiency may be improved increased conductivity. Therefore, it is...
Convolutional neural networks have gained a remarkable success in computer vision. However, most popular network architectures are hand-crafted and usually require expertise elaborate design. In this paper, we provide block-wise generation pipeline called BlockQNN which automatically builds high-performance using the Q-Learning paradigm with epsilon-greedy exploration strategy. The optimal block is constructed by learning agent trained to choose component layers sequentially. We stack...
The heat treatment was performed on the high speed laser-cladded Ni/316L coating to improve corrosion resistance. coatings were treated at temperatures of 650 °C, 700 750 °C and 800 respectively. results show that porosity independent annealing temperature chemical composition could be perfectly retained after treatment. grain size first decreased then increased with temperature. content equiaxed grains Fe19Ni precipitation phase increasing Due precipitation, resistance heat-treated higher...
Astringency is a puckering or velvety sensation mainly derived from flavonoid compounds in food. The traditional experimental approach for astringent compound discovery was labor-intensive and cost-consuming, while machine learning (ML) can greatly accelerate this procedure. Herein, we propose the Flavonoid Prediction Database (FAPD) based on ML. First, Molecular Fingerprint Similarities (MFSs) thresholds of were hierarchically clustering analyzed. For astringency threshold prediction, four...
Cuprate superconductors have the highest critical temperatures (Tc) at ambient pressure, yet a consensus on superconducting mechanism remains to be established. Finding an empirical parameter that limits reachable Tc can provide crucial insight into this outstanding problem. Here, in first two Ruddlesden-Popper members of model Hg-family cuprates, which are chemically nearly identical and among all cuprate families, we use inelastic photon scattering reveal energy magnetic fluctuations may...
In this study, the disinfection effects of O 3 , PMS, and H 2 on MS2 coliphage in deionized (DI) water secondary effluent were systematically compared.
The mechanical properties of nanoparticles play a crucial role in regulating nanobiointeractions, influencing processes such as blood circulation, tumor accumulation/penetration, and internalization into cancer cells. Consequently, they have significant impact on drug delivery therapeutic efficacy. However, it remains unclear whether how macrophages alter their biological function response to nanoparticle elasticity. Here, we report the nano-mechanical effects resulting from interactions...
Glutamine metabolism is pivotal in cancer biology, profoundly influencing tumor growth, proliferation, and resistance to therapies. Cancer cells often exhibit an elevated dependence on glutamine for essential functions such as energy production, biosynthesis of macromolecules, maintenance redox balance. Moreover, altered can contribute the formation immune-suppressive microenvironment characterized by reduced immune cell infiltration activity. In this study lung adenocarcinoma, we employed...
The synthesis and action of compound TCR1, a novel dual response to GSH viscosity fluorescence probe, was reported in this article. By using 2, 4-dinitrophenoxy group as the recognition aggregation induced emission (AIE) block extended conjugated system module, TCR1 exhibited high abilities both solution several cell lines, well zebrafish models. It could emit stable pH range 1 - 10 not interfered by other common biological small molecules, such amino acids, cations, etc. This probe showed...
Bacterial contamination in water remains a significant public health threat, and it is crucial to develop disinfection methods that are both safe effective. In this study, we developed straw carbon-coated nanowires (SC/NWs) as an effective bactericidal material for disinfection. The thermal decomposition of rice produced sp2-structured, amorphous carbon layer with oxygen-containing functional groups hetero atoms on its surface. SC coating enhanced the performance Cu(OH)2 NWs by more than...