Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasu...Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasures and references for promoting the standardized implementation of nurses’non-pharmacological prescription authority.Methods:A secondary analysis of literature was conducted to systematically search for domestic and international literature related to nurses’non-pharmacological prescription authority.Meta-analysis was performed on eligible literature to evaluate the implementation effects.Simultaneously,semi-structured in-depth interviews were conducted with healthcare workers,patients,and policymakers.Content analysis was used to organize the interview data and extract core issues and barriers.Results:A total of 46 international articles were included in the Meta-analysis,which revealed that the implementation of nurses’non-pharmacological prescription authority significantly improved patients’health management outcomes,enhanced healthcare service efficiency,and increased patient satisfaction.Conclusion:The implementation of nurses’non-pharmacological prescription authority has demonstrated significant positive effects.However,China faces multiple barriers in its advancement,necessitating efforts in optimizing policy systems,constructing collaborative models,strengthening professional skills training,and improving social awareness to guide the scientific and rational implementation of nurses’non-pharmacological prescription authority.展开更多
The human brain is a complex intelligent system composed of tens of billions of neurons interconnected through synapses,and its intricate network structure has consistently attracted numerous scientists to explore the...The human brain is a complex intelligent system composed of tens of billions of neurons interconnected through synapses,and its intricate network structure has consistently attracted numerous scientists to explore the mysteries of brain functions.However,most existing studies have only verified the biological mimicry characteristics of memristors at the single neuron-synapse level,and there is still a lack of research on memristors simulating synaptic coupling between neurons in multi-neuron networks.Based on this,this paper uses discrete memristors to couple dual discrete Rulkov neurons,and adds synaptic crosstalk between the two discrete memristors to form a neuronal network.A memristor-coupled dual-neuron map,called the Rulkov-memristor-Rulkov(R-M-R)map,is constructed to simulate synaptic connections between neurons in biological tissues.Then,the equilibrium points of the R-M-R map are studied.Subsequently,the effect of parameter variations on the dynamic performance of the R-M-R map is comprehensively analyzed using bifurcation diagram,phase diagram,Lyapunov exponent spectrum(LEs),firing diagram,and spectral entropy(SE)complexity algorithms.In the RM-R map,diverse categories of periodic,chaotic,and hyperchaotic attractors,as well as different states of firing patterns,can be observed.Additionally,different types of state transitions and coexisting attractors are discovered.Finally,the feasibility of the model in digital circuits is verified using a DSP hardware platform.In this study,the coupling principle of biological neurons is simulated,the chaotic dynamic behavior of the R-M-R map is analyzed,and a foundation is laid for deciphering the complex working mechanisms of the brain.展开更多
Taking the rural low-income population of Zhejiang Province as its subject, this paper examines how to build a sustainable income-growth mechanism and identify feasible implementation paths within the context of the c...Taking the rural low-income population of Zhejiang Province as its subject, this paper examines how to build a sustainable income-growth mechanism and identify feasible implementation paths within the context of the common prosperity strategy. The research identifies key obstacles to income expansion, including an undiversified industrial structure, insufficient human capital, and a lack of robust social protection. These call for systemic solutions featuring institutional innovation, resource consolidation, and capability enhancement. Building on Zhejiang's experience as a common prosperity demonstration zone, the article constructs an integrated framework centered on four pillars: industrial empowerment, education upgrading, social security reinforcement, and digital coordination. It further offers concrete policy proposals involving the cultivation of localized industries, vocational skill training, enhanced safety nets, and the adoption of digital tools. The study thus offers both theoretical insights and practical paradigms for tackling the challenge of raising incomes in low-income rural areas.展开更多
Alzheimer’s disease(AD)is a complex,progressive neurodegenerative disorder and the leading cause of dementia worldwide.It is characterized by the accumulation of extracellular amyloid-beta(Aβ)plaques and intracellul...Alzheimer’s disease(AD)is a complex,progressive neurodegenerative disorder and the leading cause of dementia worldwide.It is characterized by the accumulation of extracellular amyloid-beta(Aβ)plaques and intracellular tau neurofibrillary tangles,leading to synaptic dysfunction,neuronal loss,and cognitive decline.These pathological changes can begin decades before clinical symptoms emerge,highlighting the critical need for early,accessible,and accurate diagnostic tools.展开更多
基金Scientific Research Fund Project of Yunnan Provincial Department of Education(Project No.:2024J2130)。
文摘Objective:To systematically review the current implementation status of nurses’non-pharmacological prescription authority and analyze the barriers encountered during its implementation in China,providing countermeasures and references for promoting the standardized implementation of nurses’non-pharmacological prescription authority.Methods:A secondary analysis of literature was conducted to systematically search for domestic and international literature related to nurses’non-pharmacological prescription authority.Meta-analysis was performed on eligible literature to evaluate the implementation effects.Simultaneously,semi-structured in-depth interviews were conducted with healthcare workers,patients,and policymakers.Content analysis was used to organize the interview data and extract core issues and barriers.Results:A total of 46 international articles were included in the Meta-analysis,which revealed that the implementation of nurses’non-pharmacological prescription authority significantly improved patients’health management outcomes,enhanced healthcare service efficiency,and increased patient satisfaction.Conclusion:The implementation of nurses’non-pharmacological prescription authority has demonstrated significant positive effects.However,China faces multiple barriers in its advancement,necessitating efforts in optimizing policy systems,constructing collaborative models,strengthening professional skills training,and improving social awareness to guide the scientific and rational implementation of nurses’non-pharmacological prescription authority.
基金supported by the National Natural Science Foundation of China(Grant No.62571079)the Technological Innovation Projects in the Field of Artificial Intelligence in Liaoning Province(Grant No.2023JH26/10300011)+1 种基金the Basic Scientific Research Projects in the Department of Education of Liaoning Province(Grant No.LJ212410152049)the Liaoning Provincial Science and Technology Plan Joint Project(Grant No.2025-BSLH-041)。
文摘The human brain is a complex intelligent system composed of tens of billions of neurons interconnected through synapses,and its intricate network structure has consistently attracted numerous scientists to explore the mysteries of brain functions.However,most existing studies have only verified the biological mimicry characteristics of memristors at the single neuron-synapse level,and there is still a lack of research on memristors simulating synaptic coupling between neurons in multi-neuron networks.Based on this,this paper uses discrete memristors to couple dual discrete Rulkov neurons,and adds synaptic crosstalk between the two discrete memristors to form a neuronal network.A memristor-coupled dual-neuron map,called the Rulkov-memristor-Rulkov(R-M-R)map,is constructed to simulate synaptic connections between neurons in biological tissues.Then,the equilibrium points of the R-M-R map are studied.Subsequently,the effect of parameter variations on the dynamic performance of the R-M-R map is comprehensively analyzed using bifurcation diagram,phase diagram,Lyapunov exponent spectrum(LEs),firing diagram,and spectral entropy(SE)complexity algorithms.In the RM-R map,diverse categories of periodic,chaotic,and hyperchaotic attractors,as well as different states of firing patterns,can be observed.Additionally,different types of state transitions and coexisting attractors are discovered.Finally,the feasibility of the model in digital circuits is verified using a DSP hardware platform.In this study,the coupling principle of biological neurons is simulated,the chaotic dynamic behavior of the R-M-R map is analyzed,and a foundation is laid for deciphering the complex working mechanisms of the brain.
文摘Taking the rural low-income population of Zhejiang Province as its subject, this paper examines how to build a sustainable income-growth mechanism and identify feasible implementation paths within the context of the common prosperity strategy. The research identifies key obstacles to income expansion, including an undiversified industrial structure, insufficient human capital, and a lack of robust social protection. These call for systemic solutions featuring institutional innovation, resource consolidation, and capability enhancement. Building on Zhejiang's experience as a common prosperity demonstration zone, the article constructs an integrated framework centered on four pillars: industrial empowerment, education upgrading, social security reinforcement, and digital coordination. It further offers concrete policy proposals involving the cultivation of localized industries, vocational skill training, enhanced safety nets, and the adoption of digital tools. The study thus offers both theoretical insights and practical paradigms for tackling the challenge of raising incomes in low-income rural areas.
文摘Alzheimer’s disease(AD)is a complex,progressive neurodegenerative disorder and the leading cause of dementia worldwide.It is characterized by the accumulation of extracellular amyloid-beta(Aβ)plaques and intracellular tau neurofibrillary tangles,leading to synaptic dysfunction,neuronal loss,and cognitive decline.These pathological changes can begin decades before clinical symptoms emerge,highlighting the critical need for early,accessible,and accurate diagnostic tools.
