A5039104646- Neural Networks Stability and Synchronization
- stochastic dynamics and bifurcation
- Salivary Gland Tumors Diagnosis and Treatment
- Topological Materials and Phenomena
- Cancer-related molecular mechanisms research
- Lung Cancer Diagnosis and Treatment
- Cancer, Lipids, and Metabolism
- Distributed Sensor Networks and Detection Algorithms
- Stability and Controllability of Differential Equations
- Cold Atom Physics and Bose-Einstein Condensates
- Mathematical and Theoretical Epidemiology and Ecology Models
- Gastric Cancer Management and Outcomes
- Colorectal Cancer Surgical Treatments
- Neural Networks and Applications
- Ferroptosis and cancer prognosis
- Quantum optics and atomic interactions
- Stability and Control of Uncertain Systems
- Machine Learning and ELM
- Tracheal and airway disorders
- Distributed Control Multi-Agent Systems
- Colorectal Cancer Screening and Detection
- Chaos control and synchronization
Hubei Normal University
2014-2024
Guangxi Medical University
2020-2024
Abstract The mean square exponential stability of stochastic time-delay neural networks (STDNNs) with random delayed impulses (RDIs) is addressed in this paper. Focusing on the variable delays impulses, notion average delay adopted to consider these as a whole, and criterion STDNNs RDIs developed by using analysis idea Lyapunov method. Taking into account impulsive effect, interference function stabilization are explored independently. results demonstrate that properties take crucial role...
Background. Endobronchial ultrasound (EBUS) sonographic features help identify benign/malignant lymph nodes while conducting transbronchial needle aspiration (TBNA). This study aims to risk factors for malignancy based on EBUS and estimate the of in by constructing a nomogram. Methods. 1082 from 625 patients were randomly enrolled training (n = 760) validation 322) sets. The subgroup EBUS-TBNA postoperative negative 317) was 224) set 93) set. Logistic regression analysis used malignant...
Gastric cancer (GC) is among the most common forms of affecting digestive system. This study sought to identify hub genes regulating early GC (EGC) in order explore their potential for diagnosis and prognosis patients.We utilized a publically available dataset from Gene Expression Omnibus database (GSE55696). Differences between EGC LGIN with respect gene expression were compared using limma software. Identified differentially expressed (DEGs) subjected ontology (GO) pathway enrichment...
The effect of impulse on stability neural network is evident not only in performance, that is, impulsive control and interference. amount has a certain impact network. Unlike traditional average interval, new strategy applied this paper, namely, density. Based strategy, by constructing Lyapunov function, we establish sufficient conditions for mean square asymptotical stochastic time-varying without time delay. As well as, under uniformly asymptotically stable combining trajectory based...
We propose an alternative experimental scheme to detect the non-Abelian statistics of Majorana fermions (MF) with a trapped atomic bosonic gas subject spin-orbit coupling in 1D optical lattices. The leads faithful simulation arbitrary tunable XY spin model, where anisotropy effective can be controlled by adjusting potentials, Feshbach resonance, and coupling. MF are created at ends lattice segment topological phase. By controlling different addressing laser beams, one move, braid, exchange...
<abstract><p>This article investigates the stability problem of impulsive stochastic switched systems with double state-dependent delays. In designed system, unstable and stable impulses are taken into consideration, respectively, they do not need to function simultaneously switching behavior. Additionally, two new ideas, i.e., mode-dependent density density, developed. Based on Lyapunov method comparison principle, asymptotic criteria for an system delays given. Moreover,...