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Article ; Online: Hyperchaos of neuron under local active discrete memristor simulating electromagnetic radiation.

Lai, Qiang / Yang, Liang

2024 Volume 34, Issue 1

Abstract: Memristor enables the coupling of magnetic flux to membrane voltage and is widely used to investigate the response characteristics of neurons to electromagnetic radiation. In this paper, a local active discrete memristor is constructed and used to study ... ...

Abstract	Memristor enables the coupling of magnetic flux to membrane voltage and is widely used to investigate the response characteristics of neurons to electromagnetic radiation. In this paper, a local active discrete memristor is constructed and used to study the effect of electromagnetic radiation on the dynamics of neurons. The research results demonstrate that increasing electromagnetic radiation intensity could induce hyperchaotic attractors. Furthermore, this neuron model generates hyperchaotic and three points coexistence attractors with the introduction of the memristor. A digital circuit is designed to implement the model and evaluate the randomness of its output sequence. Neuronal models exhibit a rich dynamic behavior with electrical radiation stimulation, which can provide new directions for exploring the production mechanisms of certain neurological diseases.
Language	English
Publishing date	2024-01-29
Publishing country	United States
Document type	Journal Article
ZDB-ID	1472677-4
ISSN	1089-7682 ; 1054-1500
ISSN (online)	1089-7682
ISSN	1054-1500
DOI	10.1063/5.0182723
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Multi-scroll attractor and its broken coexisting attractors in cyclic memristive neural network.

Lai, Qiang / Chen, Yidan

Chaos (Woodbury, N.Y.)

2023 Volume 33, Issue 8

Abstract: This paper proposes a simple-structured memristive neural network, which incorporates self-connections of memristor synapses alongside both unidirectional and bidirectional connections. Different from other multi-scroll chaotic systems, this network ... ...

Abstract	This paper proposes a simple-structured memristive neural network, which incorporates self-connections of memristor synapses alongside both unidirectional and bidirectional connections. Different from other multi-scroll chaotic systems, this network structure has a more concise three-neuron structure. This simple memristive neural network can generate a number of multi-scroll attractors in manageable quantities and shows the characteristics of the coexisting attractors and amplitude control. In particular, when the parameters are changed, the coexisting attractors break up around the center of gravity into two centrosymmetric chaotic attractors. Abundant dynamic behaviors are studied through phase portraits, bifurcation diagrams, Lyapunov exponents, and attraction basins. The feasibility of the system is demonstrated by building a circuit realization platform.
Language	English
Publishing date	2023-12-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	1472677-4
ISSN	1089-7682 ; 1054-1500
ISSN (online)	1089-7682
ISSN	1054-1500
DOI	10.1063/5.0159391
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Article ; Online: Simple cyclic memristive neural networks with coexisting attractors and large-scale amplitude control.

Lai, Qiang / Guo, Shicong

Chaos (Woodbury, N.Y.)

2023 Volume 33, Issue 7

Abstract: The memristor's unique memory function and non-volatile nature make it an ideal electronic bionic device for artificial neural synapses. This paper aims to construct a class of memristive neural networks (MNNs) with a simple circular connection ... ...

Abstract	The memristor's unique memory function and non-volatile nature make it an ideal electronic bionic device for artificial neural synapses. This paper aims to construct a class of memristive neural networks (MNNs) with a simple circular connection relationship and complex dynamics by introducing a generic memristor as synapse. For placing the memristive synapse in different coupling positions, three MNNs with the same coupling cyclic connection are yielded. One remarkable feature of the proposed MNNs is that they can yield complex dynamics, in particular, abundant coexisting attractors and large-scale parameter-relied amplitude control, by comparing with some existing MNNs. Taking one of the MNNs as an example, the complex dynamics (including chaos, period-doubling bifurcation, symmetric coexisting attractors, large-scale amplitude control) and circuit implementation are studied . The number of equilibria and their stabilities are discussed. The parameter-relied dynamic evolution and the coexisting attractors are numerically shown by using bifurcations and phase portraits. A microcontroller-based hardware circuit is given to realize the network, which verifies the correctness of the numerical results and experimental results.
Language	English
Publishing date	2023-07-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	1472677-4
ISSN	1089-7682 ; 1054-1500
ISSN (online)	1089-7682
ISSN	1054-1500
DOI	10.1063/5.0153885
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Article: Machine Learning Predictive Model for Septic Shock in Acute Pancreatitis with Sepsis.

Xia, Yiqin / Long, Hongyu / Lai, Qiang / Zhou, Yiwu

Journal of inflammation research

2024 Volume 17, Page(s) 1443–1452

Abstract: Objective: Acute pancreatitis (AP) progresses to septic shock can be fatal. Early identification of high-risk patients and timely intervention can prevent and interrupt septic shock. By analyzing the clinical characteristics of AP with sepsis, this ... ...

Abstract	Objective: Acute pancreatitis (AP) progresses to septic shock can be fatal. Early identification of high-risk patients and timely intervention can prevent and interrupt septic shock. By analyzing the clinical characteristics of AP with sepsis, this study uses machine learning (ML) to build a model for early prediction of septic shock within 28 days of admission, which guided emergency physicians in resource allocation and medical decision-making. Methods: This retrospective cohort study collected data from the emergency departments (EDs) of three tertiary care hospitals in China. The dataset was randomly divided into a training dataset (70%) and a testing dataset (30%). Ten ML classifiers were utilized to analyze characteristics of AP with sepsis in the training dataset upon admission. Results were evaluated through cross-validation analysis. The optimal model was then tested on the testing dataset without any parameter modifications. The ML model was evaluated using the receiver operating characteristic curve (ROC) and compared to scoring systems through the DeLong test. Results: A total of 604 AP patients with sepsis were included in this study. The auto-encoder (AE) model based on mean normalization, Pearson correlation coefficient (PCC), and recursive feature elimination (RFE) selection, achieved the highest Area Under the Curve (AUC) on the validation dataset (AUC 0.900, accuracy 0.868), with the AUC of 0.879 and accuracy of 0.790 on the testing dataset. Compared to the Sequential Organ Failure Assessment (AUC 0.741), quick Sequential Organ Failure Assessment (AUC 0.727), Acute Physiology and Chronic Health Evaluation II (AUC 0.778), and Bedside Index of Severity in Acute Pancreatitis (AUC 0.691), the AE model showed superior performance. Conclusion: The AE model outperforms traditional scoring systems in predicting septic shock in AP patients with sepsis within 28 days of admission. This assists emergency physicians in identifying high-risk patients early and making timely medical decisions.
Language	English
Publishing date	2024-03-05
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2494878-0
ISSN	1178-7031
ISSN	1178-7031
DOI	10.2147/JIR.S441591
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Article ; Online: Design and Analysis of Multiscroll Memristive Hopfield Neural Network With Adjustable Memductance and Application to Image Encryption.

Lai, Qiang / Wan, Zhiqiang / Zhang, Hui / Chen, Guanrong

IEEE transactions on neural networks and learning systems

2023 Volume 34, Issue 10, Page(s) 7824–7837

Abstract: Memristor is an ideal electronic device used as an artificial nerve synapse due to its unique memory function. This article presents a design of a new Hopfield neural network (HNN) that can generate multiscroll attractors by utilizing a new memristor as ... ...

Abstract	Memristor is an ideal electronic device used as an artificial nerve synapse due to its unique memory function. This article presents a design of a new Hopfield neural network (HNN) that can generate multiscroll attractors by utilizing a new memristor as a synapse in the HNN. Differing from the others, this memristor is constructed with hyperbolic tangent functions. Taking the memristor as a self-feedback synapse of a neuron in the HNN, the memristive HNN can yield multidouble-scroll attractors, and its parameters can be used to effectively control the number of double scrolls contained in an attractor. Interestingly, the generation of multidouble-scroll attractors is independent of the memductance function but depends only on the internal state equation. Thus, the memductance function can be adjusted to yield various complex dynamical behaviors. Moreover, amplitude control effects and quantitatively controllable multistability are revealed by numerical analysis. The accurate reproduction of some dynamical behaviors by a designed circuit verifies the correctness of the numerical analysis. Finally, based on the proposed memristive HNN, a novel image encryption scheme in the 3-D setting is designed and evaluated, demonstrating its good encryption performances.
Language	English
Publishing date	2023-10-05
Publishing country	United States
Document type	Journal Article
ISSN	2162-2388
ISSN (online)	2162-2388
DOI	10.1109/TNNLS.2022.3146570
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Article: Development and Validation of a Rapid and Efficient Prognostic Scoring System for Sepsis Based on Oxygenation Index, Lactate and Glasgow Coma Scale.

Lai, Qiang / Xia, Yiqin / Yang, Wentao / Zhou, Yiwu

Journal of inflammation research

2023 Volume 16, Page(s) 2955–2966

Abstract: Objective: To develop a concise scoring system for efficient and rapid assessment of sepsis prognosis applicable to emergency departments.: Methods: This was a single-center retrospective cohort study of patients with sepsis. In this study, a new ... ...

Abstract	Objective: To develop a concise scoring system for efficient and rapid assessment of sepsis prognosis applicable to emergency departments. Methods: This was a single-center retrospective cohort study of patients with sepsis. In this study, a new scoring system (oxygenation index, lactate, and Glasgow coma scale: GOL) was developed through a derivation group, and then the GOL was validated using a validation group. Multivariate logistic regression analysis was performed to investigate the relationship between GOL and 28-day adverse outcomes. The GOL was compared with the previous scoring system using receiver operating characteristic curves (ROC) and decision analysis curves. The endpoints of this study were mortality, mechanical ventilation (MV), and admission to the intensive care unit (AICU). Results: 608 patients were included in the derivation group and 213 patients in the validation group, with 131 and 42 deaths, respectively. In the validation group, lactate (Lac), oxygenation index (PaO Conclusion: The GOL is a simple, rapid, and accurate method for early identification of patients at increased risk of in-hospital death from sepsis.
Language	English
Publishing date	2023-07-18
Publishing country	New Zealand
Document type	Journal Article
ZDB-ID	2494878-0
ISSN	1178-7031
ISSN	1178-7031
DOI	10.2147/JIR.S418531
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Article ; Online: Constructing Multiscroll Memristive Neural Network With Local Activity Memristor and Application in Image Encryption.

Lai, Qiang / Yang, Liang / Hu, Genwen / Guan, Zhi-Hong / Iu, Herbert Ho-Ching

IEEE transactions on cybernetics

2024 Volume PP

Abstract: Memristor possesses synapse-like properties that can mimic excitation and inhibition between neurons. This article introduces the Sigmoid functions to the memristor and constructs a new memristive Hopfield neural network (HNN). Its most distinctive ... ...

Abstract	Memristor possesses synapse-like properties that can mimic excitation and inhibition between neurons. This article introduces the Sigmoid functions to the memristor and constructs a new memristive Hopfield neural network (HNN). Its most distinctive feature is the simple topology, which contains only unidirectional connections in neurons. The equilibrium points analysis reveals the mechanism of its multiscroll attractors generation. Homogeneous and heterogeneous coexisting attractors are observed with the variation of the network parameters. Note that the state equation of memristor can affect the number of coexisting attractors. A hardware implementation is designed for it, and the multiscroll attractors are captured in the oscilloscope. Finally, it is also applied to developing an image encryption algorithm with excellent performance.
Language	English
Publishing date	2024-03-28
Publishing country	United States
Document type	Journal Article
ISSN	2168-2275
ISSN (online)	2168-2275
DOI	10.1109/TCYB.2024.3377011
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Article ; Online: Complete chloroplast of four Sanicula taxa (Apiaceae) endemic to China: lights into genome structure, comparative analysis, and phylogenetic relationships.

Li, Huimin / Wu, Mingsong / Lai, Qiang / Zhou, Wei / Song, Chunfeng

BMC plant biology

2023 Volume 23, Issue 1, Page(s) 444

Abstract: Background: The genus Sanicula comprises ca. 45 taxa, widely distributed from East Asia to North America, which is a taxonomically difficult genus with high medicinal value in Apiaceae. The systematic classification of the genus has been controversial ... ...

Abstract	Background: The genus Sanicula comprises ca. 45 taxa, widely distributed from East Asia to North America, which is a taxonomically difficult genus with high medicinal value in Apiaceae. The systematic classification of the genus has been controversial for a long time due to varied characters in key morphological traits. China is one of the most important distributed centers, with ca. 18 species and two varieties. At present, chloroplast genomes are generally considered to be conservative and play an important role in evolutionary relationship study. To investigate the plastome evolution and phylogenetic relationships of Chinese Sanicula, we comprehensively analyzed the structural characteristics of 13 Chinese Sanicula chloroplasts and reconstructed their phylogenetic relationships. Results: In present study, four newly complete chloroplast genome of Sanicula taxa by using Illumina sequencing were reported, with the typical quadripartite structure and 155,396-155,757 bp in size. They encoded 126 genes, including 86 protein-coding genes, 32 tRNA genes and 8 rRNA genes. Genome structure, distributions of SDRs and SSRs, gene content, among Sanicula taxa, were similar. The nineteen intergenic spacers regions, including atpH-atpI, ndhC-trnM, petB-petD, petD-rpoA, petN-psbM, psaJ-rpl33, rbcL-accD, rpoB-trnC, rps16-trnQ, trnE-psbD, trnF-ndhJ, trnH-psbA, trnN-ndhF, trnS-psbZ, trnS-trnR, trnT-trnF, trnV-rps12, ycf3-trnS and ycf4-cemA, and one coding region (ycf1 gene) were the most variable. Results of maximum likelihood analysis based on 79 unique coding genes of 13 Chinese Sanicula samples and two Eryngium (Apiaceae-Saniculoideae) species as outgroup taxa revealed that they divided into four subclades belonged to two clades, and one subclade was consistent with previously traditional Sanicula section of its system. The current classification based on morphology at sect. Sanicla and Sect. Tuberculatae in Chinese Sanicula was not supported by analysis of cp genome phylogeny. Conclusions: The chloroplast genome structure of Sanicula was similar to other angiosperms and possessed the typical quadripartite structure with the conserved genome arrangement and gene features. However, their size varied owing to expansion/contraction of IR/SC boundaries. The variation of non-coding regions was larger than coding regions of the chloroplast genome. Phylogenetic analysis within these Chinese Sanicula were determined using the 79 unique coding genes. These results could provide important data for systematic, phylogenomic and evolutionary research in the genus for the future studies.
MeSH term(s)	Apiaceae ; Sanicula ; Phylogeny ; China ; Chloroplasts/genetics ; DNA, Intergenic
Chemical Substances	DNA, Intergenic
Language	English
Publishing date	2023-09-21
Publishing country	England
Document type	Journal Article
ZDB-ID	2059868-3
ISSN	1471-2229 ; 1471-2229
ISSN (online)	1471-2229
ISSN	1471-2229
DOI	10.1186/s12870-023-04447-w
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Article ; Online: Dual closed loop AUV trajectory tracking control based on finite time and state observer.

Dai, Xiaoqiang / Xu, Hewei / Ma, Hongchao / Ding, Jianjun / Lai, Qiang

Mathematical biosciences and engineering : MBE

2022 Volume 19, Issue 11, Page(s) 11086–11113

Abstract: The three-dimensional trajectory tracking of AUV is an important basis for it to complete its task. Due to many uncertain disturbances such as wind, wave and current on the sea, it is easy to cause problems such as slow convergence speed of the ... ...

Abstract	The three-dimensional trajectory tracking of AUV is an important basis for it to complete its task. Due to many uncertain disturbances such as wind, wave and current on the sea, it is easy to cause problems such as slow convergence speed of the controller and saturation of the controller output in the three-dimensional trajectory tracking control of AUV. And the dynamic uncertainty of AUV's own model will have a great negative impact on AUV's trajectory tracking control. In order to solve the problem of slow convergence speed of the above controller, the finite time control method is introduced into the designed position controller. In order to solve the problem of AUV controller output saturation, an auxiliary dynamic system is designed to compensate the system control output saturation. In order to solve the uncertainty of AUV model, a reduced order extended observer is designed in the dynamic controller. It can observe the motion parameters of AUV at any time, and compensate the uncertainty of model uncertainty and external environment disturbance in real time. The control method in this paper is simulated in a three-dimensional model. The experimental results show that the convergence speed, control accuracy, robustness and tracking effect of AUV are higher than those of common trajectory tracker. The algorithm is loaded into the "sea exploration Ⅱ" AUV and verified by experiments in Suzhou lake. The effect of AUV navigation basically meets the task requirements, in which the mean value of pitch angle and heading angle error is less than 8 degrees and the mean value of depth error is less than 0.1M. The trajectory tracker can better meet the trajectory tracking control needs of the AUV.
Language	English
Publishing date	2022-09-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	2265126-3
ISSN	1551-0018 ; 1551-0018
ISSN (online)	1551-0018
ISSN	1551-0018
DOI	10.3934/mbe.2022517
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Article: Analysis of Significant Genes and Pathways in Esophageal Cancer Based on Gene Expression Omnibus Database.

Song, An-Yi / Mu, Lan / Dai, Xiao-Yong / Wang, Li-Jun / Huang, Lai-Qiang

Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih

2023 Volume 38, Issue 1, Page(s) 20–28

Abstract: Objective To screen antigen targets for immunotherapy by analyzing over-expressed genes, and to identify significant pathways and molecular mechanisms in esophageal cancer by using bioinformatic methods such as enrichment analysis, protein-protein ... ...

Abstract	Objective To screen antigen targets for immunotherapy by analyzing over-expressed genes, and to identify significant pathways and molecular mechanisms in esophageal cancer by using bioinformatic methods such as enrichment analysis, protein-protein interaction (PPI) network, and survival analysis based on the Gene Expression Omnibus (GEO) database.Methods By screening with highly expressed genes, we mainly analyzed proteins MUC13 and EPCAM with transmembrane domain and antigen epitope from TMHMM and IEDB websites. Significant genes and pathways associated with the pathogenesis of esophageal cancer were identified using enrichment analysis, PPI network, and survival analysis. Several software and platforms including Prism 8, R language, Cytoscape, DAVID, STRING, and GEPIA platform were used in the search and/or figure creation.Results Genes
MeSH term(s)	Humans ; Esophageal Neoplasms/genetics ; Esophageal Neoplasms/metabolism ; Esophageal Squamous Cell Carcinoma/genetics ; Esophageal Squamous Cell Carcinoma/metabolism ; Epithelial Cell Adhesion Molecule/genetics ; Epithelial Cell Adhesion Molecule/metabolism ; Gene Expression Profiling/methods ; Gene Regulatory Networks ; Gene Expression ; Gene Expression Regulation, Neoplastic ; Intracellular Signaling Peptides and Proteins
Chemical Substances	Epithelial Cell Adhesion Molecule ; ZBTB7C protein, human ; Intracellular Signaling Peptides and Proteins
Language	English
Publishing date	2023-02-28
Publishing country	China
Document type	Journal Article
ZDB-ID	1083365-1
ISSN	1001-9294
ISSN	1001-9294
DOI	10.24920/004148
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