A5100430226- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Sensors
- Robotic Path Planning Algorithms
- Control and Dynamics of Mobile Robots
- EEG and Brain-Computer Interfaces
- Electrochemical sensors and biosensors
- Analytical Chemistry and Chromatography
- Biochemical Analysis and Sensing Techniques
- Speech and Audio Processing
- Neural and Behavioral Psychology Studies
- Conducting polymers and applications
- Functional Brain Connectivity Studies
- Multisensory perception and integration
- Olfactory and Sensory Function Studies
- Gas Sensing Nanomaterials and Sensors
- Muscle activation and electromyography studies
- Speech Recognition and Synthesis
- Neuroscience and Neuropharmacology Research
- Electrochemical Analysis and Applications
- Hand Gesture Recognition Systems
- Spectroscopy and Chemometric Analyses
- Blind Source Separation Techniques
- Adaptive Control of Nonlinear Systems
- Advanced Surface Polishing Techniques
- Advanced Sensor and Energy Harvesting Materials
State Key Laboratory of Industrial Control Technology
2014-2025
Zhujiang Hospital
2021-2024
Southern Medical University
2018-2024
Zhejiang University
2013-2024
Chongqing Medical University
2020-2024
Zhejiang University of Technology
2012-2024
Second Affiliated Hospital of Chongqing Medical University
2020-2024
Xi'an Polytechnic University
2024
Dalian Medical University
2020-2024
Northeast Forestry University
2024
This paper describes the data release of LAMOST pilot survey, which includes reduction, calibration, spectral analysis, products and access. The accuracy released information about FITS headers spectra are also introduced. set 319 000 a catalog these objects.
Abstract Both real and hypothetical monetary rewards are widely used as reinforcers in risk taking decision making studies. However, whether modulate the same manner remains controversial. In this study, we event-related potentials (ERP) with a balloon analogue task (BART) paradigm to examine effects of on brain. Behavioral data showed reduced after negative feedback (money loss) during BART compared those rewards, suggesting increased loss aversion rewards. The ERP demonstrated larger...
Propellant materials genome offers a new approach to the design of high-performance hypergolic propellants.
Real-time speech interaction, serving as a fundamental interface for human-machine collaboration, holds immense potential. However, current open-source models face limitations such high costs in voice data collection, weakness dynamic control, and limited intelligence. To address these challenges, this paper introduces Step-Audio, the first production-ready solution. Key contributions include: 1) 130B-parameter unified speech-text multi-modal model that achieves understanding generation,...
This article proposes a modification of hybrid A* method used for navigation spherical mobile robots with the ability limited partial lateral movement driven by pendulum. For pendulum-driven nonzero minimal turning radius, our helps to find feasible and achievable path, which can be followed in line low time cost. Because shell shape, robot is point contact ground, showing different kinematic model compared common ground such as differential wheeled car-like robot. Therefore, this analyzes...
One controller cannot work on multiple and unknown terrains in the velocity control of spherical robot, because dynamic models robot vary different terrains, unmodeled dynamics uncertainties exist estimated models. Based above problem, a new for is designed. This combines hierarchical sliding mode (HSMC), an adaptive RBF neural network (RBFNN) variable step-size algorithm. The RBFNN used to online estimate uncertainties, Lyapunov function utilized design law RBFNN. In order learn faster,...
Silent speech decoding is a novel application of the Brain–Computer Interface (BCI) based on articulatory neuromuscular activities, reducing difficulties in data acquirement and processing. In this paper, spatial features decoders that can be used to recognize signals are investigated. Surface electromyography (sEMG) recorded from human subjects mimed situations. Specifically, we propose utilize transfer learning deep methods by transforming sEMG into spectrograms contain abundant...
Background Trait anxiety is considered a susceptible factor for stress-related disorders, and characterized by abnormal brain activity connectivity in the regions related to emotional processing (e.g., amygdala). However, only few studies have examined static dynamic changes of functional trait anxiety. Method We compared resting-state (sFC/dFC) individuals with high (HTA, n = 257) low (LTA, 264) using bilateral amygdala subregions as seeds, that is, centromedial (CMA), basolateral (BLA),...
Spherical robot is a nonlinear, nonholonomic and unstable system which increases the difficulty of direction trajectory tracking problem. In this study, we propose new controller HTSMC, an instruction planning MPC, framework MHH. The HTSMC designed by integrating fast terminal algorithm, hierarchical method, motion features spherical robot, its dynamics. addition, has excellent control effect with quick response speed strong stability. MPC can obtain optimal commands that are then...
Taste sensation recognition is a keystone for taste-related Brain-Computer Interface (BCI). A commonly used measurement of brain activity in response to specific stimulation through electroencephalography (EEG) signals. However, it remains challenging develop accurate and generalizable EEG-based human taste sensation. This paper proposes EEG-MSRNet, novel fully convolutional neural network classification basic sensations (blank, sour, sweet, bitter, salty, umami). Firstly, multi-scale...
The highly toxic and flammable nature of CO lead to high handling demand for its use storage, undoubtedly constricting further academic exploration carbonylative reactions in laboratory. Although many surrogates have been developed applied instead gas, more versatile diverse carbonylations is still desirable. Here we report a cellulose-based surrogate (cellulose-CO), which prepared from cheap abundant cellulose through simple green process. very mild efficient release makes this reagent...
Due to the large number of defects at grain boundaries nanocomposites, have a significant effect on physico-chemical properties material. Therefore, controlling charging behaviour functional nanocomposites in non-contact manner with light field can improve their physical and chemical properties. Chitosan-derived carbon dots were synthesised by exploiting abundant N element chitosan. In order passivate chitosan-derived dots, MoO3/carbon dot nanocomposite was constructed this study tailor band...