Feature selection serves as a critical preprocessing step inmachine learning,focusing on identifying and preserving the most relevant features to improve the efficiency and performance of classification algorithms.Par...Feature selection serves as a critical preprocessing step inmachine learning,focusing on identifying and preserving the most relevant features to improve the efficiency and performance of classification algorithms.Particle Swarm Optimization has demonstrated significant potential in addressing feature selection challenges.However,there are inherent limitations in Particle Swarm Optimization,such as the delicate balance between exploration and exploitation,susceptibility to local optima,and suboptimal convergence rates,hinder its performance.To tackle these issues,this study introduces a novel Leveraged Opposition-Based Learning method within Fitness Landscape Particle Swarm Optimization,tailored for wrapper-based feature selection.The proposed approach integrates:(1)a fitness-landscape adaptive strategy to dynamically balance exploration and exploitation,(2)the lever principle within Opposition-Based Learning to improve search efficiency,and(3)a Local Selection and Re-optimization mechanism combined with random perturbation to expedite convergence and enhance the quality of the optimal feature subset.The effectiveness of is rigorously evaluated on 24 benchmark datasets and compared against 13 advancedmetaheuristic algorithms.Experimental results demonstrate that the proposed method outperforms the compared algorithms in classification accuracy on over half of the datasets,whilst also significantly reducing the number of selected features.These findings demonstrate its effectiveness and robustness in feature selection tasks.展开更多
Jihei buffer zone of the Second Songhua River in lower reaches of Songyuan City of the Songhua River was taken as the research object,and the current water quality,point source and non-point source pollution,and regio...Jihei buffer zone of the Second Songhua River in lower reaches of Songyuan City of the Songhua River was taken as the research object,and the current water quality,point source and non-point source pollution,and regional social and economic conditions of the buffer zone and its upstream water functional area were investigated.According to pollution sources and pollutant carrying capacity of water functional areas,analysis on main pollution factors in buffer zone was completed.展开更多
Background:Coronavirus disease 2019(COVID-19)is a global pandemic with high mortality,and the treatment options for the severe patients remain limited.Previous studies reported the altered gut mi-crobiota in severe CO...Background:Coronavirus disease 2019(COVID-19)is a global pandemic with high mortality,and the treatment options for the severe patients remain limited.Previous studies reported the altered gut mi-crobiota in severe COVID-19.But there are no comprehensive data on the role of microbial metabolites in COVID-19 patients.Methods:We identified 153 serum microbial metabolites and assessed the changes in 72 COVID-19 pa-tients upon admission and one-month after their discharge,comparing these changes to those in 133 healthy control individuals from the outpatient department during the same period.Results:Our study revealed that microbial metabolites varied across different stages and severity of COVID-19 patients.These altered microbial metabolites included tryptophan,bile acids,fatty acids,amino acids,vitamins and those containing benzene.A total of 13 distinct microbial metabolites were identi-fied in COVID-19 patients compared to healthy controls.Notably,correlations were found among these disrupted metabolites and organ injury and inflammatory responses related to COVID-19.Furthermore,these metabolites did not restore to the normal levels one month after discharge.Importantly,two mi-crobial metabolites were the core microbial metabolites related to the severity of COVID-19 patients.Conclusions:The microbial metabolites were altered in the acute and recovery stage,correlating with dis-ease severity of COVID-19.These results indicated the important role of gut microbiota in the progression of COVID-19,and facilitated the potential therapeutic microbial target for severe COVID-19 patients.展开更多
Sustainable energy technologies,particularly fuel cells,are gaining attraction for their potential to reduce carbon emissions and provide efficient power.Proton exchange membrane fuel cells(PEMFCs)have been central to...Sustainable energy technologies,particularly fuel cells,are gaining attraction for their potential to reduce carbon emissions and provide efficient power.Proton exchange membrane fuel cells(PEMFCs)have been central to this development.However,one persistent issue with lowtemperature PEMFCs is the dehydration of Nafion ionomer at elevated temperatures,which severely limits proton conductivity.Wang et al.tackle this by introducing a covalent organic framework(COF)interwoven with Nafion,addressing the challenge of maintaining proton conductivity and oxygen transport in medium temperatures(100–120℃).展开更多
To overcome the limitations of microscale experimental techniques and molecular dynamics(MD)simulations,a coarse-grained molecular dynamics(CGMD)method was used to simulate the wetting processes of clay aggregates.Bas...To overcome the limitations of microscale experimental techniques and molecular dynamics(MD)simulations,a coarse-grained molecular dynamics(CGMD)method was used to simulate the wetting processes of clay aggregates.Based on the evolution of swelling stress,final dry density,water distribution,and clay arrangements under different target water contents and dry densities,a relationship between the swelling behaviors and microstructures was established.The simulated results showed that when the clay-water well depth was 300 kcal/mol,the basal spacing from CGMD was consistent with the X-ray diffraction(XRD)data.The effect of initial dry density on swelling stress was more pronounced than that of water content.The anisotropic swelling characteristics of the aggregates are related to the proportion of horizontally oriented clay mineral layers.The swelling stress was found to depend on the distribution of tactoids at the microscopic level.At lower initial dry density,the distribution of tactoids was mainly controlled by water distribution.With increase in the bound water content,the basal spacing expanded,and the swelling stresses increased.Free water dominated at higher water contents,and the particles were easily rotated,leading to a decrease in the number of large tactoids.At higher dry densities,the distances between the clay mineral layers decreased,and the movement was limited.When bound water enters the interlayers,there is a significant increase in interparticle repulsive forces,resulting in a greater number of small-sized tactoids.Eventually,a well-defined logarithmic relationship was observed between the swelling stress and the total number of tactoids.These findings contribute to a better understanding of coupled macro-micro swelling behaviors of montmorillonite-based materials,filling a study gap in clay-water interactions on a micro scale.展开更多
Small interfering RNAs(siRNA)provide a novel and highly specific therapy due to their ability to effectively silence target genes,to date six siRNA therapeutics are approved for clinical use.Even so,some critical chal...Small interfering RNAs(siRNA)provide a novel and highly specific therapy due to their ability to effectively silence target genes,to date six siRNA therapeutics are approved for clinical use.Even so,some critical challenges remain to overcome in the therapeutic application of siRNAs,with delivery issues at the forefront.Among them,endo/lysosomal barrier is one of the important but often-neglected limitations hindering the delivery of siRNA therapeutics.In this review,we summarize the promising strategies that facilitate siRNAs overcoming endo/lysosomal barriers based on the cellular uptake and intracellular transport pathways,including promoting escape once endocytosis into the endo/lysosomes and bypassing lysosomes via endosome-Golgi-endoplasmic reticulum(ER)pathway or nonendocytosis pathway,and discuss the principal considerations and the future directions of promoting endo/lysosomal escape in the development of therapeutic siRNAs.展开更多
Small interfering RNA(siRNA),a promising revolutionary therapy,faces delivery obstacles due to its poor targeting,strong charge negativity and macromolecular nature.Clinical-approved siRNAs can now only be delivered t...Small interfering RNA(siRNA),a promising revolutionary therapy,faces delivery obstacles due to its poor targeting,strong charge negativity and macromolecular nature.Clinical-approved siRNAs can now only be delivered to the liver mediated by the chemically conjugated N-acetylgalactosamine(GalNAc)ligand,the conjugate can be effectively uptaken into cells through interaction with asialoglycoprotein receptor(ASGPR)highly expressed on liver hepatocytes.To further explore an efficient non-hepatic targeted delivery strategy,in this study,we designed a delivery system that chemically conjugated p53 siRNA to renal tubular cell-targeting peptides for targeting the kidney,which was suitable for industrial transformation.Results showed that peptide-siRNA conjugate could specifically enter renal tubular epithelial cells and silence target genes.In cisplatin-induced acute kidney injury(AKI)mice,peptide-siRNA conjugate blocked the p53-mediated apoptotic pathway and alleviated renal damage.The innovative proposed system to conjugate kidney-targeting peptides with siRNA achieved the efficient kidney-targeted delivery of si RNA and provided a prospective choice for treating AKI.展开更多
The mainstream silver recovery has problems such as resource waste,weak silver selectivity,and complicated operation.Here,self-propelled magnetic enhanced capture hydrogel(magnetic NbFeB/MXene/GO,MNMGH)was prepared by...The mainstream silver recovery has problems such as resource waste,weak silver selectivity,and complicated operation.Here,self-propelled magnetic enhanced capture hydrogel(magnetic NbFeB/MXene/GO,MNMGH)was prepared by self-crosslinking encapsulation method.MNMGH achieved high selectivity(K_(d)=23.31 mL/g)in the acidic range,and exhibited ultrahigh silver recovery capacity(1604.8 mg/g),which greatly improved by 66%with the assistance of in-situ magnetic field.The recovered silver crystals could be directly physically exfoliated,without acid/base additions.The selective sieving effect of adsorption,MNMGH preferentially adsorbed Ag(I),and then selectively reduced to Ag(0),realizing dual-selective recovery.The in-situ magnetic field enhanced selective adsorption by enhancing mass transfer,reactivity of oxygen-containing functional groups.Furthermore,density function theory simulations demonstrated that the in-situ magnetic field could lower the silver reduction reaction energy barrier to enhance the selective reduction.Three-drive synergy system(reduction drive,adsorption drive and magnetic drive)achieved ultrahigh silver recovery performance.This study pioneered an in-situ magnetic field assisted enhancement strategy for dual-selective(adsorption/reduction)recovery of precious metal silver,which provided new idea for low-carbon recovery of noble metal from industrial waste liquids.展开更多
Mass mortality of mandarin fish(Siniperca chuatsi)due to infectious spleen and kidney necrosis virus(ISKNV)infection occurs frequently.Since there are no effective drug treatments available,prevention relies heavily o...Mass mortality of mandarin fish(Siniperca chuatsi)due to infectious spleen and kidney necrosis virus(ISKNV)infection occurs frequently.Since there are no effective drug treatments available,prevention relies heavily on detection.Effective and rapid on-site detection methods are needed for early diagnosis of ISKNV.In this study,a rapid and simple colloidal gold test strip method,specific for the antibody against major capsid protein(MCP),was developed and systematically evaluated for the detection of ISKNV.The limit of detection of the test strip is a 1꞉100 dilution of a positive standard serum and the antibody level in the fish could be estimated from the depth of color of the test line.The strips were tested against serum samples of cyprinid herpesvirus-2(CyHV-2),grass carp reovirus(GCRV),largemouth bass ranavirus(LMBV),large yellow croaker iridovirus(LYCIV),and spring viremia of carp virus(SVCV),yielding no cross-reactivity.In addition,10 mandarin fish artificially infected with ISKNV were tested using the current industry standard PCR method(SC/T 7211-2011)on their splenorenal tissues.The results from the test strips showed a high degree of concordance with PCR testing,achieving a Kappa value of 0.737.All the results indicated that the colloidal gold test strips prepared in this study could be used as a simple,rapid,and highly sensitive and specific method for ISKNV diagnosis.展开更多
In recent years,discrete neuron and discrete neural network models have played an important role in the development of neural dynamics.This paper reviews the theoretical advantages of well-known discrete neuron models...In recent years,discrete neuron and discrete neural network models have played an important role in the development of neural dynamics.This paper reviews the theoretical advantages of well-known discrete neuron models,some existing discretized continuous neuron models,and discrete neural networks in simulating complex neural dynamics.It places particular emphasis on the importance of memristors in the composition of neural networks,especially their unique memory and nonlinear characteristics.The integration of memristors into discrete neural networks,including Hopfield networks and their fractional-order variants,cellular neural networks and discrete neuron models has enabled the study and construction of various neural models with memory.These models exhibit complex dynamic behaviors,including superchaotic attractors,hidden attractors,multistability,and synchronization transitions.Furthermore,the present paper undertakes an analysis of more complex dynamical properties,including synchronization,speckle patterns,and chimera states in discrete coupled neural networks.This research provides new theoretical foundations and potential applications in the fields of brain-inspired computing,artificial intelligence,image encryption,and biological modeling.展开更多
The functionality of the biological brain is closely related to the dynamic behavior generated by synapses in its complex neural system.The self-connection synapse,as a critical form of feedback synapse in Hopfield ne...The functionality of the biological brain is closely related to the dynamic behavior generated by synapses in its complex neural system.The self-connection synapse,as a critical form of feedback synapse in Hopfield neurons,plays an essential role in understanding the dynamic behavior of the brain.Synaptic memristors can bring neural network models closer to the complexity of the brain's neural networks.Inspired by this,this study incorporates the nonlinear memory characteristics of synapses into the Hopfield neural network(HNN)by replacing a single self-synapse in a four-dimensional HNN model with a novel cosine memristor model,aiming to more realistically reproduce the dynamical behavior of biological neurons in artificial systems.By performing a dynamical analysis of the system using numerical methods,we find that the model exhibits infinitely many equilibrium points and can induce the formation of rare transient attractors,as well as an arbitrary number of multi-scroll attractors.Additionally,the model demonstrates complex coexisting attractor dynamics,including transient chaos,periodicity,decaying periodicity,and coexisting chaos.Furthermore,the feasibility of the proposed HNN model is verified using a field-programmable gate array(FPGA).Finally,an electronic codebook(ECB)–mode block cipher encryption algorithm is proposed for image encryption.The encryption performance is evaluated,with an information entropy value of 7.9993,demonstrating the excellent randomness of the system-generated numbers.展开更多
基金supported by National Natural Science Foundation of China(62106092)Natural Science Foundation of Fujian Province(2024J01822,2024J01820,2022J01916)Natural Science Foundation of Zhangzhou City(ZZ2024J28).
文摘Feature selection serves as a critical preprocessing step inmachine learning,focusing on identifying and preserving the most relevant features to improve the efficiency and performance of classification algorithms.Particle Swarm Optimization has demonstrated significant potential in addressing feature selection challenges.However,there are inherent limitations in Particle Swarm Optimization,such as the delicate balance between exploration and exploitation,susceptibility to local optima,and suboptimal convergence rates,hinder its performance.To tackle these issues,this study introduces a novel Leveraged Opposition-Based Learning method within Fitness Landscape Particle Swarm Optimization,tailored for wrapper-based feature selection.The proposed approach integrates:(1)a fitness-landscape adaptive strategy to dynamically balance exploration and exploitation,(2)the lever principle within Opposition-Based Learning to improve search efficiency,and(3)a Local Selection and Re-optimization mechanism combined with random perturbation to expedite convergence and enhance the quality of the optimal feature subset.The effectiveness of is rigorously evaluated on 24 benchmark datasets and compared against 13 advancedmetaheuristic algorithms.Experimental results demonstrate that the proposed method outperforms the compared algorithms in classification accuracy on over half of the datasets,whilst also significantly reducing the number of selected features.These findings demonstrate its effectiveness and robustness in feature selection tasks.
文摘Jihei buffer zone of the Second Songhua River in lower reaches of Songyuan City of the Songhua River was taken as the research object,and the current water quality,point source and non-point source pollution,and regional social and economic conditions of the buffer zone and its upstream water functional area were investigated.According to pollution sources and pollutant carrying capacity of water functional areas,analysis on main pollution factors in buffer zone was completed.
基金supported by grants from the National Key R&D Program of China(2021YFA1301001)the Natural Science Founda-tion of China(82170668)+1 种基金the Sino-German Center for Research Promotion(GZ1546)the CAMS Innovation Fund for Medical Sciences(2019-I2M-5-045).
文摘Background:Coronavirus disease 2019(COVID-19)is a global pandemic with high mortality,and the treatment options for the severe patients remain limited.Previous studies reported the altered gut mi-crobiota in severe COVID-19.But there are no comprehensive data on the role of microbial metabolites in COVID-19 patients.Methods:We identified 153 serum microbial metabolites and assessed the changes in 72 COVID-19 pa-tients upon admission and one-month after their discharge,comparing these changes to those in 133 healthy control individuals from the outpatient department during the same period.Results:Our study revealed that microbial metabolites varied across different stages and severity of COVID-19 patients.These altered microbial metabolites included tryptophan,bile acids,fatty acids,amino acids,vitamins and those containing benzene.A total of 13 distinct microbial metabolites were identi-fied in COVID-19 patients compared to healthy controls.Notably,correlations were found among these disrupted metabolites and organ injury and inflammatory responses related to COVID-19.Furthermore,these metabolites did not restore to the normal levels one month after discharge.Importantly,two mi-crobial metabolites were the core microbial metabolites related to the severity of COVID-19 patients.Conclusions:The microbial metabolites were altered in the acute and recovery stage,correlating with dis-ease severity of COVID-19.These results indicated the important role of gut microbiota in the progression of COVID-19,and facilitated the potential therapeutic microbial target for severe COVID-19 patients.
基金financial support from the National Natural Science Foundation of China(No.22301139)the Natural Science Foundation of Jiangsu Province(No.BK 20230375).
文摘Sustainable energy technologies,particularly fuel cells,are gaining attraction for their potential to reduce carbon emissions and provide efficient power.Proton exchange membrane fuel cells(PEMFCs)have been central to this development.However,one persistent issue with lowtemperature PEMFCs is the dehydration of Nafion ionomer at elevated temperatures,which severely limits proton conductivity.Wang et al.tackle this by introducing a covalent organic framework(COF)interwoven with Nafion,addressing the challenge of maintaining proton conductivity and oxygen transport in medium temperatures(100–120℃).
基金supported by the National Natural Science Foundation of China(Grant No.42172308)the Youth Innovation Promotion Association CAS(Grant No.2022331)the Key Research and Development Program of Hubei Province(Grant No.2022BAA036).
文摘To overcome the limitations of microscale experimental techniques and molecular dynamics(MD)simulations,a coarse-grained molecular dynamics(CGMD)method was used to simulate the wetting processes of clay aggregates.Based on the evolution of swelling stress,final dry density,water distribution,and clay arrangements under different target water contents and dry densities,a relationship between the swelling behaviors and microstructures was established.The simulated results showed that when the clay-water well depth was 300 kcal/mol,the basal spacing from CGMD was consistent with the X-ray diffraction(XRD)data.The effect of initial dry density on swelling stress was more pronounced than that of water content.The anisotropic swelling characteristics of the aggregates are related to the proportion of horizontally oriented clay mineral layers.The swelling stress was found to depend on the distribution of tactoids at the microscopic level.At lower initial dry density,the distribution of tactoids was mainly controlled by water distribution.With increase in the bound water content,the basal spacing expanded,and the swelling stresses increased.Free water dominated at higher water contents,and the particles were easily rotated,leading to a decrease in the number of large tactoids.At higher dry densities,the distances between the clay mineral layers decreased,and the movement was limited.When bound water enters the interlayers,there is a significant increase in interparticle repulsive forces,resulting in a greater number of small-sized tactoids.Eventually,a well-defined logarithmic relationship was observed between the swelling stress and the total number of tactoids.These findings contribute to a better understanding of coupled macro-micro swelling behaviors of montmorillonite-based materials,filling a study gap in clay-water interactions on a micro scale.
基金supported by National Natural Science Foundation of China(No.82173769)the National Key R&D Program of China(No.2021YFE0106900)+1 种基金Applied Basic Research Multiinvestment Foundation of Tianjin(No.21JCYBJC01540)the Science&Technology Development Fund of Tianjin Education Commission for Higher Education(No.2023ZD019)。
文摘Small interfering RNAs(siRNA)provide a novel and highly specific therapy due to their ability to effectively silence target genes,to date six siRNA therapeutics are approved for clinical use.Even so,some critical challenges remain to overcome in the therapeutic application of siRNAs,with delivery issues at the forefront.Among them,endo/lysosomal barrier is one of the important but often-neglected limitations hindering the delivery of siRNA therapeutics.In this review,we summarize the promising strategies that facilitate siRNAs overcoming endo/lysosomal barriers based on the cellular uptake and intracellular transport pathways,including promoting escape once endocytosis into the endo/lysosomes and bypassing lysosomes via endosome-Golgi-endoplasmic reticulum(ER)pathway or nonendocytosis pathway,and discuss the principal considerations and the future directions of promoting endo/lysosomal escape in the development of therapeutic siRNAs.
基金supported by the National Key Technologies Research and Development Plan(No.2021YFE0106900)the National Natural Science Foundation of China(No.82173769)+1 种基金the Basic Research Cooperation Project of Beijing,Tianjin,Hebei from the Natural Science Foundation of Tianjin(No.20JCZXJC00070)the Applied Basic Research Multi-investment Foundation of Tianjin(No.21JCYBJC01540)。
文摘Small interfering RNA(siRNA),a promising revolutionary therapy,faces delivery obstacles due to its poor targeting,strong charge negativity and macromolecular nature.Clinical-approved siRNAs can now only be delivered to the liver mediated by the chemically conjugated N-acetylgalactosamine(GalNAc)ligand,the conjugate can be effectively uptaken into cells through interaction with asialoglycoprotein receptor(ASGPR)highly expressed on liver hepatocytes.To further explore an efficient non-hepatic targeted delivery strategy,in this study,we designed a delivery system that chemically conjugated p53 siRNA to renal tubular cell-targeting peptides for targeting the kidney,which was suitable for industrial transformation.Results showed that peptide-siRNA conjugate could specifically enter renal tubular epithelial cells and silence target genes.In cisplatin-induced acute kidney injury(AKI)mice,peptide-siRNA conjugate blocked the p53-mediated apoptotic pathway and alleviated renal damage.The innovative proposed system to conjugate kidney-targeting peptides with siRNA achieved the efficient kidney-targeted delivery of si RNA and provided a prospective choice for treating AKI.
基金supported by The National Natural Science Foundation of China(52170087,22276137).
文摘The mainstream silver recovery has problems such as resource waste,weak silver selectivity,and complicated operation.Here,self-propelled magnetic enhanced capture hydrogel(magnetic NbFeB/MXene/GO,MNMGH)was prepared by self-crosslinking encapsulation method.MNMGH achieved high selectivity(K_(d)=23.31 mL/g)in the acidic range,and exhibited ultrahigh silver recovery capacity(1604.8 mg/g),which greatly improved by 66%with the assistance of in-situ magnetic field.The recovered silver crystals could be directly physically exfoliated,without acid/base additions.The selective sieving effect of adsorption,MNMGH preferentially adsorbed Ag(I),and then selectively reduced to Ag(0),realizing dual-selective recovery.The in-situ magnetic field enhanced selective adsorption by enhancing mass transfer,reactivity of oxygen-containing functional groups.Furthermore,density function theory simulations demonstrated that the in-situ magnetic field could lower the silver reduction reaction energy barrier to enhance the selective reduction.Three-drive synergy system(reduction drive,adsorption drive and magnetic drive)achieved ultrahigh silver recovery performance.This study pioneered an in-situ magnetic field assisted enhancement strategy for dual-selective(adsorption/reduction)recovery of precious metal silver,which provided new idea for low-carbon recovery of noble metal from industrial waste liquids.
基金Supported by the Earmarked Fund for China Agricultural Research System(No.CARS-45-16)the Key Research and Development Plan of Jiangsu Province(No.BE2021369)。
文摘Mass mortality of mandarin fish(Siniperca chuatsi)due to infectious spleen and kidney necrosis virus(ISKNV)infection occurs frequently.Since there are no effective drug treatments available,prevention relies heavily on detection.Effective and rapid on-site detection methods are needed for early diagnosis of ISKNV.In this study,a rapid and simple colloidal gold test strip method,specific for the antibody against major capsid protein(MCP),was developed and systematically evaluated for the detection of ISKNV.The limit of detection of the test strip is a 1꞉100 dilution of a positive standard serum and the antibody level in the fish could be estimated from the depth of color of the test line.The strips were tested against serum samples of cyprinid herpesvirus-2(CyHV-2),grass carp reovirus(GCRV),largemouth bass ranavirus(LMBV),large yellow croaker iridovirus(LYCIV),and spring viremia of carp virus(SVCV),yielding no cross-reactivity.In addition,10 mandarin fish artificially infected with ISKNV were tested using the current industry standard PCR method(SC/T 7211-2011)on their splenorenal tissues.The results from the test strips showed a high degree of concordance with PCR testing,achieving a Kappa value of 0.737.All the results indicated that the colloidal gold test strips prepared in this study could be used as a simple,rapid,and highly sensitive and specific method for ISKNV diagnosis.
基金supported by the Natural Science Foundation of Hunan Province(Grant No.2025JJ50368)the Scientific Research Fund of Hunan Provincial Education Department(Grant No.24A0248)the Guiding Science and Technology Plan Project of Changsha City(Grant No.kzd2501129)。
文摘In recent years,discrete neuron and discrete neural network models have played an important role in the development of neural dynamics.This paper reviews the theoretical advantages of well-known discrete neuron models,some existing discretized continuous neuron models,and discrete neural networks in simulating complex neural dynamics.It places particular emphasis on the importance of memristors in the composition of neural networks,especially their unique memory and nonlinear characteristics.The integration of memristors into discrete neural networks,including Hopfield networks and their fractional-order variants,cellular neural networks and discrete neuron models has enabled the study and construction of various neural models with memory.These models exhibit complex dynamic behaviors,including superchaotic attractors,hidden attractors,multistability,and synchronization transitions.Furthermore,the present paper undertakes an analysis of more complex dynamical properties,including synchronization,speckle patterns,and chimera states in discrete coupled neural networks.This research provides new theoretical foundations and potential applications in the fields of brain-inspired computing,artificial intelligence,image encryption,and biological modeling.
基金supported by the Guiding Science and Technology Plan Project of Changsha City under Grant kzd2501129by the Natural Science Foundation of Hunan Province(Grant No.2025JJ50368)+1 种基金the Scientific Research Fund of Hunan Provincial Education Department(Grant No.24A0248)the National Natural Science Foundation of China(Grant No.62273141)。
文摘The functionality of the biological brain is closely related to the dynamic behavior generated by synapses in its complex neural system.The self-connection synapse,as a critical form of feedback synapse in Hopfield neurons,plays an essential role in understanding the dynamic behavior of the brain.Synaptic memristors can bring neural network models closer to the complexity of the brain's neural networks.Inspired by this,this study incorporates the nonlinear memory characteristics of synapses into the Hopfield neural network(HNN)by replacing a single self-synapse in a four-dimensional HNN model with a novel cosine memristor model,aiming to more realistically reproduce the dynamical behavior of biological neurons in artificial systems.By performing a dynamical analysis of the system using numerical methods,we find that the model exhibits infinitely many equilibrium points and can induce the formation of rare transient attractors,as well as an arbitrary number of multi-scroll attractors.Additionally,the model demonstrates complex coexisting attractor dynamics,including transient chaos,periodicity,decaying periodicity,and coexisting chaos.Furthermore,the feasibility of the proposed HNN model is verified using a field-programmable gate array(FPGA).Finally,an electronic codebook(ECB)–mode block cipher encryption algorithm is proposed for image encryption.The encryption performance is evaluated,with an information entropy value of 7.9993,demonstrating the excellent randomness of the system-generated numbers.
