IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0237304

Beatrice Cairo, Vlasta Bari, Francesca Gelpi, Beatrice De Maria, Franca Barbic, Raffaello Furlan, Alberto Porta

{"title":"Characterization of cardiorespiratory coupling via a variability-based multi-method approach: Application to postural orthostatic tachycardia syndrome.","authors":"Beatrice Cairo, Vlasta Bari, Francesca Gelpi, Beatrice De Maria, Franca Barbic, Raffaello Furlan, Alberto Porta","doi":"10.1063/5.0237304","DOIUrl":"https://doi.org/10.1063/5.0237304","url":null,"abstract":"There are several mechanisms responsible for the dynamical link between heart period (HP) and respiration (R), usually referred to as cardiorespiratory coupling (CRC). Historically, diverse signal processing techniques have been employed to study CRC from the spontaneous fluctuations of HP and respiration (R). The proposed tools differ in terms of rationale and implementation, capturing diverse aspects of CRC. In this review, we classify the existing methods and stress differences with the aim of proposing a variability-based multi-method approach to CRC evaluation. Ten methodologies for CRC estimation, namely, power spectral decomposition, traditional and causal squared coherence,;information transfer, cross-conditional entropy, mixed prediction, Shannon entropy of the latency between heartbeat and inspiratory/expiratory onset, conditional entropy of the phase dynamics, synchrogram-based analysis, pulse-respiration quotient, and joint symbolic dynamics, are considered. The ability of these techniques was exemplified over recordings acquired from patients suffering from postural orthostatic tachycardia syndrome (POTS) and healthy controls. Analyses were performed at rest in the supine position (REST) and during head-up tilt (HUT). Although most of the methods indicated that at REST, the CRC was lower in POTS patients and decreased more evidently during HUT in POTS, peculiar differences stressed the complementary value of the approaches. The multiple perspectives provided by the variability-based multi-method approach to CRC evaluation help the characterization of a pathological state and/or the quantification of the effect of a postural challenge. The present work stresses the need for the application of multiple methods to derive a more complete evaluation of the CRC in humans.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"34 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142812086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of Parkinson's disease using nocturnal breathing signals based on multifractal detrended fluctuation analysis.

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0237878

Zhong Dai, Shutang Liu, Changan Liu

{"title":"Detection of Parkinson's disease using nocturnal breathing signals based on multifractal detrended fluctuation analysis.","authors":"Zhong Dai, Shutang Liu, Changan Liu","doi":"10.1063/5.0237878","DOIUrl":"https://doi.org/10.1063/5.0237878","url":null,"abstract":"Parkinson's disease (PD) is a highly prevalent neurodegenerative disorder that poses a significant challenge in terms of accurate and cost-effective diagnosis. This study focuses on the use of fractal features derived from nocturnal breathing signals to diagnose PD. Our study includes 49 individuals with Parkinson's disease (PD group), 49 relatively healthy individuals without PD (HC group), 49 individuals without PD but with other diseases (NoPD group), as well as 12 additional PD patients and 200 healthy individuals for testing. Using multifractal detrended fluctuation analysis, we extracted fractal features from nocturnal breathing signals, with logistic regression models applied to diagnose PD, as demonstrated in receiver operating characteristic curves. Eight fractal features show significant diagnostic potential for PD, including generalized Hurst exponents for the Airflow, Thorax, and Abdomen signals and the multifractal spectrum width of the SaO2 signal. Finally, the area under the receiver operating characteristic curve (AUC) of the training data set of the PD and HC groups for all four signals is 0.911, and the AUC of the testing data set is 0.929. These results demonstrate the potential of this work to enhance the accuracy of PD diagnosis in clinical settings.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"34 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Shearless and periodic attractors in the dissipative Labyrinthic map.

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0225577

L F B Souza, R Egydio de Carvalho, R L Viana, I L Caldas

引用次数: 0

An amplitude equation for the conserved-Hopf bifurcation-Derivation, analysis, and assessment.

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0222013

Daniel Greve, Uwe Thiele

引用次数: 0

Effects of higher-order interactions and impulsive vaccination for rumor propagation.

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0241100

Shijie Liu, Donghua Zhao, Yongzheng Sun

引用次数: 0

Promotion of cooperation in a structured population with environmental feedbacks.

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0236333

Ding Lyu, Hanxiao Liu, Chuang Deng, Xiaofan Wang

{"title":"Promotion of cooperation in a structured population with environmental feedbacks.","authors":"Ding Lyu, Hanxiao Liu, Chuang Deng, Xiaofan Wang","doi":"10.1063/5.0236333","DOIUrl":"https://doi.org/10.1063/5.0236333","url":null,"abstract":"Cooperation is a representative altruistic behavior in which individuals contribute public goods to benefit their neighborhoods and even larger communities in social networks. The defective behavior is more likely to bring higher payoffs than the cooperative behavior, which makes the cooperative behavior hard to maintain and sustain. Many mechanisms were proposed to promote cooperation within a social dilemma, in which some recent studies introduced the impact of dynamically changing environments on players' payoffs and strategies in social-ecological systems, and evolutionary-ecological systems. However, degree heterogeneity, an important structural property of many real-world complex networks such as social networks, academic collaboration networks, and communication networks, is rarely explored and studied in such eco-evolutionary games. In this research, we propose a Public Goods Game model on social networks with environmental feedback and analyze how the environmental factor and network structure affect the evolution of cooperation. It is found that as the initial environmental factors and the cooperation-enhancement defection-degradation ratio increase, the steady cooperation level of the social network significantly increases, and the dynamic environment will eventually evolve into a high-return environment; On the other hand, even if the initial environmental benefit coefficient is high, when the cooperation-enhancement defection-degradation ratio is less than a threshold, the dynamic environment will gradually degrade into a low-return environment. The steady cooperation level of the social network first gradually increases as the network structure becomes more heterogeneous, but it will decrease once the heterogeneity of the social network exceeds a certain threshold.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"34 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142789407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Brownian non-Gaussian polymer diffusion in non-static media. 非静态介质中的布朗非高斯聚合物扩散。

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0232075

Xiao Zhang, Heng Wang, Weihua Deng

{"title":"Brownian non-Gaussian polymer diffusion in non-static media.","authors":"Xiao Zhang, Heng Wang, Weihua Deng","doi":"10.1063/5.0232075","DOIUrl":"https://doi.org/10.1063/5.0232075","url":null,"abstract":"In nature, essentially, almost all the particles move irregularly in non-static media. With the advance of observation techniques, various kinds of new dynamical phenomena are detected, e.g., Brownian non-Gaussian diffusion. This paper focuses on the dynamical behavior of the center of mass (CM) of a polymer in non-static media and investigates the effect of polymer size fluctuations on the diffusion behavior. First, we establish a diffusing diffusivity model for polymer size fluctuations, linking the polymer size variation to the birth and death process, and introduce co-moving and physical coordinate systems to characterize the position of the CM for a polymer in non-static media. Next, the important statistical quantities for the CM diffusing diffusivity model in non-static media, such as mean square displacement (MSD) and kurtosis, are obtained by adopting the subordinate process approach, and the long-time asymptotic behavior of the MSD in the media of different types is specifically analyzed. Finally, the bivariate Fokker-Planck equation and the Feynman-Kac equation corresponding to the diffusing diffusivity model are detailedly derived and solved through the deep backward stochastic differential equation (BSDE) method to confirm the correctness of the derived equations.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"34 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synchronization transitions in adaptive simplicial complexes with cooperative and competitive dynamics. 具有合作和竞争动态的自适应简单复合物中的同步转换。

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0226199

S Nirmala Jenifer, Dibakar Ghosh, Paulsamy Muruganandam

{"title":"Synchronization transitions in adaptive simplicial complexes with cooperative and competitive dynamics.","authors":"S Nirmala Jenifer, Dibakar Ghosh, Paulsamy Muruganandam","doi":"10.1063/5.0226199","DOIUrl":"https://doi.org/10.1063/5.0226199","url":null,"abstract":"Adaptive network is a powerful presentation to describe different real-world phenomena. However, current models often neglect higher-order interactions (beyond pairwise interactions) and diverse adaptation types (cooperative and competitive) commonly observed in systems such as the human brain and social networks. This work addresses this gap by incorporating these factors into a model that explores their impact on collective properties such as synchronization. Through simplified network representations, we investigate how the simultaneous presence of cooperative and competitive adaptations influences phase transitions. Our findings reveal a transition from first-order to second-order synchronization as the strength of higher-order interactions increases under competitive adaptation. We also demonstrate the possibility of synchronization even without pairwise interactions, provided there is strong enough higher-order coupling. When only competitive adaptations are present, the system exhibits second-order-like phase transitions and clustering. Conversely, with a combination of cooperative and competitive adaptations, the system undergoes a first-order-like phase transition, characterized by a sharp transition to the synchronized state without reverting to an incoherent state during backward transitions. The specific nature of these second-order-like transitions varies depending on the coupling strengths and mean degrees. With our model, we can control not only when the system synchronizes but also the way the system goes to synchronization.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":"34 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142845836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resilience of the Atlantic meridional overturning circulation. 大西洋经向翻转环流的恢复力。

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0226410

Valérian Jacques-Dumas, Henk A Dijkstra, Christian Kuehn

引用次数: 0

Finding critical exponents and parameter space for a family of dissipative two-dimensional mappings.

IF 2.7 2区数学

Chaos Pub Date : 2024-12-01 DOI: 10.1063/5.0234491

Fábio H da Costa, Mayla A M de Almeida, Rene O Medrano-T, Edson D Leonel, Juliano A de Oliveira

引用次数: 0

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