- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- DNA and Nucleic Acid Chemistry
- Photochemistry and Electron Transfer Studies
- Hand Gesture Recognition Systems
- Neuroscience and Neural Engineering
- Advanced biosensing and bioanalysis techniques
- Cardiac electrophysiology and arrhythmias
- ECG Monitoring and Analysis
- Porphyrin and Phthalocyanine Chemistry
- Guidance and Control Systems
- Advanced Sensor and Energy Harvesting Materials
- Molecular Junctions and Nanostructures
- Spacecraft Dynamics and Control
- Phonocardiography and Auscultation Techniques
- Brain Tumor Detection and Classification
- Asthma and respiratory diseases
- Chemical Reaction Mechanisms
- Gaze Tracking and Assistive Technology
- Space Satellite Systems and Control
- Tactile and Sensory Interactions
- Force Microscopy Techniques and Applications
- Adaptive Control of Nonlinear Systems
- Chaos-based Image/Signal Encryption
- Spectroscopy and Quantum Chemical Studies
Nanjing Normal University
2025
Henan University of Economic and Law
2024
Northeast Normal University
2018-2023
China Aerospace Science and Technology Corporation
2020-2023
National Chin-Yi University of Technology
2020-2023
Tianjin Medical University Cancer Institute and Hospital
2021
Xinjiang Uygur Autonomous Region Uygur Medicine Hospital
2016-2017
Eindhoven University of Technology
2015
Argonne National Laboratory
2003-2004
Northwestern University
2000-2004
The driving force dependence of photoinduced electron-transfer dynamics in duplex DNA has been investigated for 16 synthetic hairpins which an acceptor chromophore serves as a linker connecting two complementary oligonucleotide arms containing single donor nucleobase located either adjacent to the or separated from by unreactive base pairs. rate constants both charge separation and recombination processes have determined means subpicosecond time-resolved transient absorption spectroscopy...
In the past, investigators tend to use multi-channel surface electromyography (sEMG) signal acquisition devices improve recognition accuracy for study of gesture systems based on sEMG. The disadvantages method are increased complexity and problems such as crosstalk. This paper explores a single-channel sEMG envelope feature in time domain. First, we get by using preprocessing circuit. Then, improved valid activity segment extraction find every extract 15 features from segment. Next,...
The structure and properties of 18 hairpin-forming bis(oligonucleotide) conjugates possessing stilbene diether linkers are reported. Conjugates bis(2-hydroxyethyl)stilbene 4,4'-diether form the most stable DNA hairpins reported to date. Hairpins with as few two T:A base pairs or four noncanonical G:G at room temperature. Increasing length hydroxyalkyl groups results in a decrease hairpin thermal stability. On basis investigation their circular dichroism spectra, all investigated adopt B-DNA...
The synthesis, steady-state spectroscopy, and transient absorption spectroscopy of DNA conjugates possessing both stilbene electron donor acceptor chromophores are described. These proposed to form nicked dumbbell structures in which a stilbenedicarboxamide stilbenediether separated by variable numbers A−T or G−C base pairs. nick is located either adjacent one the between two bases. Thermal dissociation profiles indicate that stable formed as few Circular dichroism (CD) spectra pair region...
The optical properties of a family duplex DNA conjugates possessing from 1 to 11 A:T base pairs and covalently attached stilbene chromophores at both ends have been investigated. As few as two four bairs are needed establish base-pair absorption circular dichroism spectra similar those longer oligomers. exhibit exciton-coupled dichroism, which can be observed even with intervening pairs, distance ca. 40 A. dependence the sign amplitude these reveals ability B-DNA serve helical ruler.
Accurate recognition of gestures based on surface EMG signals is very importance in the study human prosthetic interaction. In this paper, multi-feature combination and adaptive AdaBoost algorithm are used to identify nine kinds fine gestures. First, order adaptively set threshold for extracting active segment, detecting segment myoelectric signal improved, effective value obtained by rejecting invalid segment. Second, a gesture classification method proposed. recursive feature elimination...
This paper proposes a new image scrambling algorithm based on the periodic characteristics of Josephus ring. The composes pretreatment part entire encryption system and scrambles rows columns plain image. is adjustable by using three kinds parameters: step, m0, n. Different values affect size value In this paper, we focus method determining period cycle when parameters are set rule space under arbitrary parameters. Because ring mathematical problem, analyze it group theory modern algebra....
In recent years, deep learning has been applied in numerous fields and yielded excellent results. Convolutional neural networks (CNNs) have used to analyze electrocardiography (ECG) data biomedical engineering. This study combines the Taguchi method CNNs for classifying ECG images from single heartbeats without feature extraction or signal conversion. All of fifteen types (five classes) MIT-BIH Arrhythmia Dataset were included this study. The classification accuracy achieved 96.79%, which is...
Exciting DNA threesome: Time-resolved transient absorption spectroscopy has been used to study electron-transfer processes between an excited-state electron acceptor and a ground-state donor, separated by variable number of T:A⋅T triplet steps in triplex (see figure). The formation decay both the anion radical donor cation can be resolved. Electron tunneling is more effective at longer acceptor–donor distances than duplex DNA. Supporting information for this article available on WWW under...
The abundant movement information carried by the surface electromyography (sEMG) signal can comprehensively reflect muscle patterns on of human body, and characteristics physiological signals involving have promoted vigorous development in field human-computer interaction machine learning. This paper takes subtle gestures as research objects, proposes a recognition system that uses two-channel sEMG utilizes Quadratic Discriminant Analysis (QDA) Linear (LDA) which are parameter estimation...
Rapid detection and accurate diagnosis for thrust drop fault are still open problems launch vehicles. Existing studies have achieved fruitful results in (FDD) methods, leaving the complex disturbances not fully considered. The degrade FDD performance very hard to identify. In this paper, an method based on multiple deep neural networks is proposed, which can deal with disturbances. First, we split into two parts reduce complexity. detail, a connected network selected detect diagnose degree,...
Background: Head and neck squamous cell carcinoma (HNSCC) is one of the most serious diseases affecting populations worldwide lymph node metastasis a key pathological feature HNSCC which predicts poor survival. However, molecular mechanisms associated with development in have not been fully elucidated.
Rapid and reversible G-quadruplex hairpin dimer formation is observed for bis(oligonucleotide) conjugates possessing stilbenediether (Sd) linkers connecting two short poly(G) sequences.
To tolerate the limited faults such as thrust decline or actuator jamming of launch vehicles, an adaptive fault-tolerant control method based on radial basis function neural network (RBFNN) is proposed in this paper. The a dynamics model, and baseline controller designed pole placement, using RBFNN to online identify compensate fault parameters uncertain disturbances model. Then law Lyapunov theory. simulation results show that can effectively ensure attitude stability well accuracy under...
In recent years, with the widespread popularity of smart devices and rapid development communication artificial intelligence technologies, sign language gestures that can break barriers between ordinary people those speech hearing impairments have received much attention. However, existing human gesture recognition methods include wearable device-based, computer vision-based Radio Frequency (RF) signal-based. These problems being difficult to deploy, violating user privacy, susceptible...