A5042655080- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- Advanced Photocatalysis Techniques
- Electrocatalysts for Energy Conversion
- Neurotransmitter Receptor Influence on Behavior
- Advanced Neuroimaging Techniques and Applications
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Photoreceptor and optogenetics research
- Advanced battery technologies research
- Earthquake Detection and Analysis
- Neuroscience and Neural Engineering
- Epilepsy research and treatment
- Hepatocellular Carcinoma Treatment and Prognosis
- earthquake and tectonic studies
- Neural and Behavioral Psychology Studies
- Copper-based nanomaterials and applications
- Advanced Memory and Neural Computing
- Visual perception and processing mechanisms
- Neurological Disease Mechanisms and Treatments
- Intracranial Aneurysms: Treatment and Complications
- stochastic dynamics and bifurcation
- Machine Fault Diagnosis Techniques
- Power Transformer Diagnostics and Insulation
University of Electronic Science and Technology of China
2016-2025
Nanjing University of Posts and Telecommunications
2017-2024
Kunming University
2020-2024
Hohai University
2019-2024
Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital
2024
Chinese Academy of Medical Sciences & Peking Union Medical College
2020-2024
Institute of Science and Technology
2024
Pudong Medical Center
2024
Fudan University
2024
Shanghai Center for Brain Science and Brain-Inspired Technology
2024
Abstract Design and preparation of an efficient nonprecious cocatalysts, with structural features functionality necessary for improving photocatalytic performance semiconductors, remain a formidable challenge until now. Herein, the first time, novel CoP cocatalyst single‐atom phosphorus vacancies defects (CoP‐V p ) is synthesized coupled Cd 0.5 Zn S to build CoP‐V @Cd @CZS) heterojunctions photocatalysts via liquid phase corrosion method following by in suit growth process. The nanohybrids...
The 2024 moment magnitude 7.5 Noto Peninsula (Japan) earthquake caused devastation to communities and was generated by a complex rupture process. Using space geodetic seismic observations, we have shown that the event deformed peninsula with peak uplift reaching 5 meters at west coast. Shallow slip exceeded 10 on an offshore fault. Peak stress drop greater than megapascals. This devastating began slow propagation lasting 15 20 seconds near its hypocenter, where swarms had surged since 2020...
This paper aims to develop a combination method for the classification of power quality complex disturbances based on ensemble empirical mode decomposition (EEMD) and multilabel learning. EEMD is adopted extract features disturbances, which more suitable nonstationary signal processing. Rank wavelet support vector machine (rank-WSVM) proposed apply in disturbances. First, characteristic quantities are obtained with through defining standard energy differences each intrinsic function. Second,...
Abstract Soft neural electrode arrays that are mechanically matched between tissues and electrodes offer valuable opportunities for the development of disease diagnose brain computer interface systems. Here, a thermal release transfer printing method fabrication stretchable bioelectronics, such as soft arrays, is presented. Due to large, switchable irreversible change in adhesion strength tape, low‐cost, easy‐to‐operate, temperature‐controlled process can be achieved. The mechanism this...
Coupling the internal electric field and ferroelectric polarization via modulation of surface electronic structures to achieve high carrier separation efficiency is attractive but challenging in solar-to-chemical energy conversion.
Defect engineering of transition metal dichalcogenides (TMDCs) is important for improving electrocatalytic hydrogen evolution reaction (HER) performance. Herein, a facile and scalable atomic-level di-defect strategy over thermodynamically stable VSe2 nanoflakes, yielding attractive improvements in the HER performance wide electrolyte pH range reported. The configuration with controllable spatial relation between single-atom (SA) V defects single Se vacancy effectively triggers activity inert...
A canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition in steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) systems. Various extended methods have been developed, and among such methods, combination of CCA individual-template-based has achieved the best performance. However, requires vectors to be orthogonal, which may not reasonable assumption EEG analysis. In this paper, we propose using correlated component (CORRCA)...
Abstract The importance of self-feedback autaptic transmission in modulating spike-time irregularity is still poorly understood. By using a biophysical model that incorporates coupling, we here show self-innervation neurons participates the modulation irregular neuronal firing, primarily by regulating occurrence frequency burst firing. In particular, find both excitatory and electrical autapses increase thus reducing firing regularity. contrast, inhibitory suppress therefore tend to improve...
In the cation modulated V–Co based oxyhydroxide electrocatalyst, 190 mV overpotential at 10 mA cm<sup>−2</sup> is best value reported for Co or V (oxy)hydroxides OER catalysts.
The basal ganglia (BG), serving as an intermediate bridge between the cerebral cortex and thalamus, are believed to play crucial roles in controlling absence seizure activities generated by pathological corticothalamic system. Inspired recent experiments, here we systematically investigate contribution of a novel identified GABAergic pallido-cortical pathway, projecting from globus pallidus externa (GPe) BG cortex, control seizures. By computational modelling, find that both increasing...
The interface electronic structure of heterogeneous catalysts can be modulated by changing the surface coordination configuration, which is crucial to their catalytic activity. Herein, a phosphorus-grafted Ti3C2Tx MXene platform anchored with an MoS2 nanoflake heterojunction electrocatalyst was assembled through simple phosphorus-hydrothermal method. An charge "bridge" has been created grafting uniform P atoms coordinated O (P-Ti3C2Tx), resulting in charge-transfer channel between P-Ti3C2Tx...
Spiking neural networks (SNNs) mimic brain computational strategies, and exhibit substantial capabilities in spatiotemporal information processing. As an essential factor for human perception, visual attention refers to the dynamic process selecting salient regions biological vision systems. Although mechanisms have achieved great success computer applications, they are rarely introduced into SNNs. Inspired by experimental observations on predictive attentional remapping, we propose a new...
Abstract Black sludge is commonly found in the acid tanks of cold rolling pickling lines and pipelines regeneration units, impacting system efficiency causing negative effects on equipment environment. To address this issue, a method combining black composition analysis Chemical Oxygen Demand (COD) measurement rinse water was proposed to study its origin formation mechanisms. The results showed that mainly contains carbon, chlorine, oxygen, small amounts iron, with significant organic matter...
Aims and objectives To investigate the prevalence of anxiety depression in parents hospitalised neonates to analyse their relationship with other factors such as stress social support, provide evidence for targeted clinical interventions. Background The perinatal period, a special susceptibility negative emotions, is period that women spouses have face. In this time, fact be no doubt huge psychological parents. Little understanding hospitalisation environment, lacking awareness neonatal...
Spiking neural networks (SNNs) have demonstrated excellent capabilities in various intelligent scenarios. Most existing methods for training SNNs are based on the concept of synaptic plasticity; however, learning realistic brain also utilizes intrinsic non-synaptic mechanisms neurons. The spike threshold biological neurons is a critical neuronal feature that exhibits rich dynamics millisecond timescale and has been proposed as an underlying mechanism facilitates information processing. In...
Abstract On 6 February 2023, Mw 7.8 and 7.6 earthquakes struck southeast Türkiye northwest Syria. They are the largest in over 80 yr, causing significant damage fatalities. We used Advanced Land Observation Satellite-2 Sentinel-1 Synthetic Aperture Radar images to obtain near-field coseismic displacements by Differential Interferometric (DInSAR) pixel offset tracking (POT). Discontinuities of surface deformation suggest that event ruptured ∼320 km along East Anatolian fault, ∼150 near...
Aiming at the combined power quality +disturbance recognition, an automated recognition method based on wavelet packet entropy (WPE) and modified incomplete S-transform (MIST) is proposed in this paper. By combining Tsallis singular entropy, energy MIST, a 13-dimension vector of different (PQ) disturbances including single extracted. Then, ruled decision tree designed to recognize disturbances. The tested evaluated using large number simulated PQ some real-life signals, which include voltage...