Indirect information propagation model with time-delay effect on multiplex networks DOI
Zehui Zhang, Ke Zhu, Fang Wang

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 192, P. 115936 - 115936

Published: Dec. 30, 2024

Language: Английский

Contagion dynamics on higher-order networks DOI
Guilherme Ferraz de Arruda, Alberto Aleta, Yamir Moreno

et al.

Nature Reviews Physics, Journal Year: 2024, Volume and Issue: 6(8), P. 468 - 482

Published: July 5, 2024

Language: Английский

Citations

18

Redefining Roles: A Paradigm Shift in Tryptophan–Kynurenine Metabolism for Innovative Clinical Applications DOI Open Access
Masaru Tanaka,

Ágnes Szabó,

László Vécsei

et al.

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(23), P. 12767 - 12767

Published: Nov. 27, 2024

The tryptophan-kynurenine (KYN) pathway has long been recognized for its essential role in generating metabolites that influence various physiological processes. Traditionally, these have categorized into distinct, often opposing groups, such as pro-oxidant versus antioxidant, excitotoxic/neurotoxic neuroprotective. This dichotomous framework shaped much of the research on conditions like neurodegenerative and neuropsychiatric disorders, well cancer, where metabolic imbalances are a key feature. effects significantly influenced by factors, including concentration particular cellular milieu which they generated. A molecule acts neuroprotective at low concentrations may exhibit neurotoxic elevated levels. oxidative equilibrium surrounding environment can alter function KYN from an antioxidant to pro-oxidant. narrative review offers comprehensive examination analysis contemporary understanding metabolites, emphasizing their multifaceted biological functions relevance numerous pathological underscores pressing necessity paradigm shift comprehension metabolism. Understanding context-dependent roles is vital novel therapies Alzheimer's disease, multiple sclerosis, cancer. Comprehensive modulation, balancing inflammatory signals enzyme regulation, promising avenues targeted, effective treatments.

Language: Английский

Citations

5

The universality of physical images at relative timescales on multiplex networks DOI
Xin Chang, Chao-Ran Cai, Jiqiang Zhang

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 182, P. 114780 - 114780

Published: March 25, 2024

Language: Английский

Citations

3

Information-Disease Coupled Propagation Dynamics Based on the UANU-SIS Model DOI

陆平 陈

Modeling and Simulation, Journal Year: 2025, Volume and Issue: 14(01), P. 721 - 733

Published: Jan. 1, 2025

Language: Английский

Citations

0

Influences of individual interaction validity on coupling propagation of information and disease in a two-layer higher-order network DOI
Ming Li, Liang’an Huo

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(2)

Published: Feb. 1, 2025

All complex phenomena in systems arise from individual interactions, which include pairs and higher-order forms. Research indicates that various physical mental factors can impact the validity of these potentially preventing diffusion phenomena. This paper explores influences interaction on coupling propagation information disease a two-layer network. Interaction is defined using threshold function based activity level. The dynamic evolution equations nodes are derived by microscopic Markov chain approach, transmission determined. Extensive numerical simulations both artificial real-world networks reveal interactions significantly enhance related information. Reducing levels diminishes validity, thereby restricting transmission. Moreover, optimizing control be achieved increasing public virtual social while reducing it contact networks. Strengthening interlayer enhances self-protective measures, thus amplifying suppression

Language: Английский

Citations

0

Studying the impact of individual emotional states on the co-evolution of information, behavior and disease in multiplex networks DOI

Bingjie Wu,

Liang’an Huo

Physica A Statistical Mechanics and its Applications, Journal Year: 2025, Volume and Issue: 665, P. 130480 - 130480

Published: March 5, 2025

Language: Английский

Citations

0

Effect of time-varying validity of individual interaction on co-evolution of awareness and epidemics in a multiplex high-order network DOI
Ming Li, Liang’an Huo

Applied Mathematics and Computation, Journal Year: 2025, Volume and Issue: 499, P. 129396 - 129396

Published: March 18, 2025

Language: Английский

Citations

0

Impact of individual activity on behavior adoption in complex networks: A two-layer generalized SAR model analysis DOI
Liang’an Huo,

Mengyu Pan,

Yanhui Wei

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 186, P. 115198 - 115198

Published: July 1, 2024

Language: Английский

Citations

2

The model for the repeated propagation of information from constant spreaders based on individual cognition levels DOI
Yan Wang, Chunzhang Miao,

Chuanbiao Wang

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 680, P. 121159 - 121159

Published: July 9, 2024

Language: Английский

Citations

2

Navigating Resource Challenges in Health Emergencies: The Role of Information Diffusion and Virus Spread in Demand Dynamics DOI Creative Commons
Yizhuo Zhou, Jianjun Zhang,

Yundan Yang

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(3), P. 95 - 95

Published: March 13, 2024

The dynamics of medical resource demand during public health crises pose significant challenges to emergency supply chain management, particularly within an evolving and complex social environment. To explore this, the interactive effects information diffusion virus spreading on are investigated using a novel three-layer coevolution “information–epidemic–resource” model through Markov process simulations. study firstly identifies eight factors influencing fluctuations in terms some city characteristics, such as media exposure, consistency opinion, self-protection level, restrictive protection while categorizing resources into individual holdings centralized storage. Then, extensive simulations examined elucidate impact these factors. results reveal that various characteristics can affect fluctuation for both Inaccurate tends inflate fluctuations, higher opinion reduce it. Reinforcing decreases individuals, effective protections Moreover, analytical simulation scenarios, underpinned by statistical data from selected Chinese German cities, demonstrates distinct significantly influence changes epidemics. This underscores importance tailoring strategies specific developmental traits different countries cities. provides valuable insights researchers, governments, enterprises, enhancing their preparedness response disruptions.

Language: Английский

Citations

1