A5100784733- Nanopore and Nanochannel Transport Studies
- Gender Diversity and Inequality
- Ion-surface interactions and analysis
- Toxic Organic Pollutants Impact
- Fuel Cells and Related Materials
- Environmental Toxicology and Ecotoxicology
- Topic Modeling
- Advanced biosensing and bioanalysis techniques
- Labor Movements and Unions
- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
- Software System Performance and Reliability
- Political Economy and Marxism
- Salivary Gland Disorders and Functions
- Artificial Intelligence in Games
- Global trade, sustainability, and social impact
- Work-Family Balance Challenges
- Entrepreneurship Studies and Influences
- Microplastics and Plastic Pollution
- Transition Metal Oxide Nanomaterials
- Alzheimer's disease research and treatments
- Nuclear Receptors and Signaling
- Recommender Systems and Techniques
- Carbon Nanotubes in Composites
- Advanced Graph Neural Networks
Ocean University of China
2021-2024
Jiangsu University of Science and Technology
2023
Beijing Aerospace Flight Control Center
2022
Peking University
1995-2022
Nanjing University
2022
Kunming University of Science and Technology
2021
Soochow University
2021
First Affiliated Hospital of Soochow University
2021
Nanjing Normal University
2019
Collaborative Innovation Center of Quantum Matter
2016
The abnormal aggregation of α-synuclein (α-Syn) is closely associated with Parkinson's disease. Different post-translational modifications α-Syn have been identified and contribute distinctly in cytotoxicity. Recently, was reported to be N-terminally acetylated cells, yet the functional implication this modification, especially oligomerization, remains unclear. By using a solid-state nanopore system, we found that N-terminal acetylation can significantly decrease oligomerization....
A30P and E46K are two mutants of α-synuclein (α-Syn) associated with familial early-onset Parkinson's disease (PD), amyloid fibrils α-Syn the hallmarks this disease. Detecting heterogeneous system in oligomerization stage is crucial for understanding fibril formation vivo toxicity oligomers. Over last decades, solid-state nanopore technology has been developed into a reliable versatile method single-molecule studies. In work, we study time-dependent kinetics early wild-type α-Syn, A30P,...
Electrical detection of single molecule based on solid‐state nanopores is recently combined with optical methods. The synergistic effect the electrical and measurements makes combination powerful. It promising for next‐generation single‐molecule approach. Conventional nanopore sensors monitor pulses caused by molecules translocating through nanopore. However, signal limited insufficient resolutions, low throughput, lack specificity, manipulation. Optical has been extensively studied since...
1,3-Bis[3,5-bis(trifluoromethyl)phenyl]urea-loaded PLGA nanoparticles exhibited satisfactory physicochemical characteristics and significantly inhibited the growth lactic acid production of S. mutans .
Spermidine (Spd) is a ubiquitous low-molecular-mass aliphatic amine that acts in abiotic stress tolerance plants. We investigated how the treatment with exogenous Spd contributed to protection against salt rice chloroplasts. Analysis of chlorophyll (Chl) fluorescence showed there were many negative effects salinity on different sites photosynthetic machinery; however, these alleviated by adding Spd. prevented damage structure and function chloroplasts under stress; thylakoid membrane protein...
Previous works on vanishing point detection usually use geometric prior for line segment clustering. We find that image context can also contribute to accurate classification. Based this observation, we propose classify segments into three groups according unknown-but-sought points with Manhattan world assumption, using both information and in work. To achieve goal, a novel Transformer based Line Classifier (TLC) group images estimate the corresponding points. In TLC, design descriptor...
Nanopore-based sensing technology is considered high-throughput and low-cost for single molecule detection, but solid-state nanopores have suffered from pore clogging issues. A simple Tween 20 coating method applied to ensure long-term (several hours) non-sticky translocation of various types bio-molecules through SiN in a wide pH range (4.0–13.0). We also emphasize the importance choosing appropriate concentration buffer desired effect. By with layer, we are able differentiate between...
Solid‐state nanopore is a promising tool to detect proteins and its complexes. Small (sub‐35 kDa) translocate very fast which could not be detected by normal patch‐clamp recording instrument due low temporal resolution. We first introduce pressure into protein study detection. The pressure‐derived force, combined with the voltage bias, makes tiny (MW < 6.5 detection possible. Capture rate for Aprotinin enhanced five times more than that in traditional voltage‐driven method fine tuning of...
We investigate in situ ion diffusion vanadium dioxide (VO2) nanowires (NWs) by using photocurrent imaging. Alkali metal ions are injected into a NW segment via ionic liquid gating and shown to diffuse along the axis. The visualization of is realized spatially resolved measurements, which detect charge carrier density change associated with incorporation. Diffusion constants determined be on order 10–10 cm2/s for both Li+ Na+ at room temperature, while H+ diffuses much slower. also found...
Abstract A series of copper bilirubinate complexes (CuBR) was synthesized in solution and solid state to mimic the black color black‐pigment gallstone explore formation mechanism vitro . The variation contents these samples indicated that CuBR also exhibits nonstoichiometric characteristics from FTIR study, i.e., both so‐called acid neutral complex moieties exist CuBR. NH groups pyrrole lactam bilirubin (H 2 BR) are binding ions. An EPR study demonstrates generation free radicals its...
To find a suitable embedding for knowledge graph remains big challenge nowadays. By using previous methods, every entity in is usually represented as k-dimensional vector. As we know, an affine transformation can be expressed the form of matrix multiplication followed by translation In this paper, firstly utilize set transformations related to each relation operate on vectors, and then these transformed vectors are used performing with methods. The main advantage their good geometry...
Aiming at the high importance of software quality work in aerospace field and requirement reliability products, we study defect prediction system based on deep learning; introduce process model generation from three aspects: metric selection, evaluation indicator. The main points design TensorFlow Serving Docker container technology are introduced requirements, architecture deployment. can be used to discover potential defects software, improve development testing efficiency, enhance products.