Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 192, P. 115936 - 115936
Published: Dec. 30, 2024
Language: Английский
Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 192, P. 115936 - 115936
Published: Dec. 30, 2024
Language: Английский
Nature Reviews Physics, Journal Year: 2024, Volume and Issue: 6(8), P. 468 - 482
Published: July 5, 2024
Language: Английский
Citations
18International 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
5Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 182, P. 114780 - 114780
Published: March 25, 2024
Language: Английский
Citations
3Modeling and Simulation, Journal Year: 2025, Volume and Issue: 14(01), P. 721 - 733
Published: Jan. 1, 2025
Language: Английский
Citations
0Chaos 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
0Physica A Statistical Mechanics and its Applications, Journal Year: 2025, Volume and Issue: 665, P. 130480 - 130480
Published: March 5, 2025
Language: Английский
Citations
0Applied Mathematics and Computation, Journal Year: 2025, Volume and Issue: 499, P. 129396 - 129396
Published: March 18, 2025
Language: Английский
Citations
0Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 186, P. 115198 - 115198
Published: July 1, 2024
Language: Английский
Citations
2Information Sciences, Journal Year: 2024, Volume and Issue: 680, P. 121159 - 121159
Published: July 9, 2024
Language: Английский
Citations
2Systems, 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
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