A5006680396- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Molecular Sensors and Ion Detection
- Computer Graphics and Visualization Techniques
- Luminescence and Fluorescent Materials
- Porphyrin and Phthalocyanine Chemistry
- Advanced biosensing and bioanalysis techniques
- Advanced Optical Imaging Technologies
- Advanced Vision and Imaging
- Neural dynamics and brain function
- Robotics and Sensor-Based Localization
- Analytical Chemistry and Sensors
- DNA and Nucleic Acid Chemistry
- CCD and CMOS Imaging Sensors
- Robotic Path Planning Algorithms
- Photoreceptor and optogenetics research
- Energy and Environment Impacts
- Ferroptosis and cancer prognosis
- Pancreatic and Hepatic Oncology Research
- Neural Networks and Reservoir Computing
- Climate Change and Health Impacts
- Electrochemical sensors and biosensors
- Air Quality and Health Impacts
- Environmental Chemistry and Analysis
- Advanced Optical Sensing Technologies
Xiamen University
2015-2024
Xiamen University of Technology
2022-2024
Fine particulate matter (PM2.5) has an adverse effect on reproductive function, in particular causing reduced male but relatively few studies have directly targeted its effects female reproduction. To investigate the of PM2.5 exposure reproduction, we exposed mice to by intratracheal instillation for 28 days, and evaluated apoptosis ovarian granulosa cells oocytes quality embryos after insemination. Our results showed increased numbers apoptotic elevated concentrations PM2.5, which had...
Spiking Neural Networks (SNNs) represent a new generation of artificial neural networks that draw inspiration from biological systems. However, due to the intricate dynamics they exhibit and discontinuity inherent in spike signals, SNNs often encounter performance limitations when addressing optimization problems. In this paper, we introduce Graph-connected Network model (GSNN), an extension SNN framework. The GSNN holds potential for integration with various existing path planning methods,...
Exo70, a key exocyst complex component, is crucial for cell motility and extracellular matrix (ECM) remodeling in cancer metastasis. Despite its potential as drug target, Exo70's post-translational modifications (PTMs) are poorly characterized. Here, we report that Exo70 transamidated on Gln5 with Lys56 of cystatin A by transglutaminases TGM1 TGM3, promoting tumor This modification enhances association other subunits, essential secreting metalloproteinases, forming invadopodia, delivering...
As dendrites are essential parts of neurons, they crucial factors for neuronal activities to follow multiple timescale dynamics, which ultimately affect information processing and cognition. However, in the common SNN (Spiking Neural Networks), hardware-based LIF (Leaky Integrate-and-Fire) circuit only simulates single dynamic soma without relating dendritic morphologies, may limit capability simulating neurons process information. This study proposes fractal model mainly quantifying...
The identification of the prognostic markers and therapeutic targets might benefit diagnosis treatment pancreatic adenocarcinoma (PAAD), one most aggressive malignancies. Vacuolar protein sorting associated 26 A (VPS26A) is a candidate prognosis gene for hepatocellular carcinoma, but its expression function in PAAD remain unknown. mRNA VPS26A was explored validated by bioinformatics immunohistochemical analysis. correlation between various clinical parameters, genetic status, diagnostic...
Spiking neural network (SNN) with synapses of memristor implemented for networking neuromorphic devices, regarded as the most biologically interpretable model, has shown great potential in emulating information processing mechanism brain-like computing. Carbon nanotube, fullerene nanoparticle and graphene quantum dot had been developed respectively superconducting transmission line, single-electron transistor (SET) non-volatile memory, artificial high density low power consumption are...
We have found that a positively charged cationic copper phthalocyanine Alcian blue (Alcian 8GX) can efficiently quench the fluorescence of an oppositely red fluorescent compound with matched molecular structure tetrasulfonated aluminum (AlS4Pc) because formation ion pair complex (AlS4Pc-Alcian exhibits almost no fluorescence. An investigation was carried out on recovery AlS4Pc-Alcian 8GX caused by series anionic surfactants containing sulfonic group (sodium dodecylbenzenesulfonate (SDBS)...
As biological wide-field visual neurons in locusts, lobula giant motion detectors (LGMDs) can effectively predict collisions and trigger avoidance before the collision occurs. This capability has extensive potential applications field of autonomous driving, unmanned aerial vehicles, more. Currently, describing LGMD characteristics is divided into two viewpoints, one emphasizing presynaptic pathway other postsynaptic LGMDs neuron. Indeed, both have their research support leading to emergence...
Lobula giant motion detectors (LGMDs) in locusts effectively predict collisions and trigger avoidance, with potential applications autonomous driving UAVs. Research on LGMD characteristics splits into two views: one focusing the presynaptic visual pathway, other postsynaptic neurons. Both perspectives have support, leading to computational models, but they lack a biophysical description of individual neuron behavior. This paper aims mimic explain behavior based fractional spiking neurons...
Tetrasulfonated aluminum phthalocyanine (AlS4Pc), a strongly red-emitting compound, shows high detection sensitivity, little effect of photobleaching, and photochemical stability, making it an excellent red-fluorescent probe. We have observed that in acid media, low concentration poly-L-lysine (PLL) has strong fluorescence-quenching on AlS4Pc, forming the ion-pair complex as AlS4Pc-PLL with almost no fluorescence. However, presence Bi3+, fluorescence dramatically recovers emission is visual...
The conventional spectrophotometric method that is often applied to determine ribonuclease (RNase) has disadvantages include cumbersome manipulation, time-consuming processing and a lack of linear range. We had found low concentration RNA could induce cationic aluminum phthalocyanine (tetra(trimethylammonio)aluminum (TTMAAlPc)), which emitted strong red fluorescence aggregate in neutral media, resulting an almost complete quenching from the phthalocyanine. degraded through hydrolysis by...
In acidic media, cationic phthalocyanine Alcian blue 8GX, has an efficient fluorescence quenching effect on anionic tetrasulphoaluminium phthalocyanines (AlS₄Pc), forming almost non-fluorescent associate. Based this discovery, a red-emitting fluorescent probe consisted of AlS₄PC and 8GX been developed through molecular assembly. Further studies indicated that the presence Hg(II) ion significant recovery probe. Notably, only can significantly restore AlS₄Pc-Alcian system which was revealed...