Article
Mathematics, Interdisciplinary Applications
G. Y. Tellez-Sanchez, J. Bory-Reyes
Summary: This paper extends the classical Chaos game algorithm and Shannon entropy to the hyperbolic numbers plane, with a focus on interpreting hyperbolic valued probabilities and the hyperbolic extension of entropy.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2021)
Article
Physics, Multidisciplinary
Feng Zhang, Jin Wang
Summary: Strong nonequilibrium conditions often lead to dissipative chaos, but the connection between dissipative chaos and nonequilibrium remains unclear. In this study, we investigate this connection from the perspective of the nonequilibrium potential-flux landscape. The dynamics of nonequilibrium systems are influenced by the potential landscape associated with the steady-state probability distribution, as well as the probability flow that breaks detailed balance. Quantitative analysis using the Lorenz strange attractor model demonstrates a close relationship between the kinematic measures of dissipative chaos and the degree of nonequilibrium. This research reveals the dynamic and thermodynamic origins of dissipative chaos beyond nonlinearity and offers a new understanding of phase transitions in nonequilibrium systems.
Article
Automation & Control Systems
Renjie Zhou, Xiao Wang, Jian Wan, Naixue Xiong
Summary: Sample entropy technologies are widely used in diagnosing faults in industrial systems, but they have limitations in distance measurement and similarity evaluation. A new method called Euclidean distance based multiscale fuzzy entropy is proposed for better accuracy in measuring signal complexity and detecting bearing faults.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Multidisciplinary Sciences
Leonidas P. Karakatsanis, Evgenios G. Pavlos, George Tsoulouhas, Georgios L. Stamokostas, Timothy Mosbruger, Jamie L. Duke, George P. Pavlos, Dimitri S. Monos
Summary: The study utilizes complexity metrics and machine learning models to analyze the lengths of segmental genomic entities of DNA sequences, revealing non-random patterns within genomic regions and the dynamics of the whole genome. Machine learning tools are used for clustering, classification, and prediction with high accuracy.
Article
Computer Science, Information Systems
Guido Torrese, Paul Moriceau
Summary: The management of system complexity is crucial for successful system delivery. This study focuses on the definition of structural complexity and provides analytical expressions for both individual components and their interactions. Entropy-based complexity metrics are used to objectively quantify complexity according to the criteria introduced by Weyuker. The intrinsic descriptive complexity by Kolmogorov is applied to analyze the structural complexity of engineered systems, demonstrated using a graph representing system architecture.
IEEE SYSTEMS JOURNAL
(2023)
Article
Mathematics, Interdisciplinary Applications
Huizi Cui, Lingge Zhou, Yan Li, Bingyi Kang
Summary: This paper introduces a method based on belief entropy to measure the complexity of physiological signals in biological systems. The method has better accuracy and applicability compared to existing entropy algorithms.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Physics, Multidisciplinary
Luciana De Micco, Maximiliano Antonelli, Osvaldo Anibal Rosso
Summary: The use of chaotic systems such as PRNGs in electronics is appealing, but continuous-time systems are used less due to their strong temporal correlations requiring additional computations. A methodology for achieving chaos-based PRNGs with good statistical characteristics and high throughput is proposed, and these PRNGs successfully pass tests and require few hardware resources.
Article
Mathematics, Interdisciplinary Applications
Sriram Parthasarathy, Karthikeyan Rajagopal, Ondrej Krejcar, Robert Frischer, Hamidreza Namazi
Summary: In this study, the brain reaction to visual stimuli with different frequencies was analyzed for the first time using three complexity methods. The results showed that, in general, the complexity of EEG signals increases as the stimuli frequency increases from 9Hz to 13Hz, except in the case of 11Hz stimulus. The statistical analysis supported these findings. This research analysis can also be applied to study how the brain reacts in different conditions with other types of external stimuli.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2023)
Article
Engineering, Environmental
Larissa Zaira Rafael Rolim, Francisco de Assis de Souza Filho
Summary: This study assessed the spatiotemporal, chaotic, and nonlinear dynamics of rainfall and streamflow data in Ceara at different timescales using chaos theory concepts. The results showed a shift in the dynamics of variables with increasing timescales. Chaos was confirmed in a majority of monthly rainfall and streamflow data. The complexity varied spatially, with the northwestern area of Ceara exhibiting higher complexity. Long-term streamflow predictions were found to be ineffective, while rainfall predictions up to six years in advance were possible. These findings have implications for water resources management and provide insights into the evolution of hydrological variables over time and space.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Review
Engineering, Environmental
Zack Walsh, Jessica Boehme, Christine Wamsler
Summary: Relational thinking is gaining prominence in academic disciplines, leading to a reformulation of academic understanding in interdisciplinary fields such as science and technology studies and the environmental humanities. Despite the sustainability crisis calling for interdisciplinary scholarship, the field of sustainability research has yet to fully utilize the rich possibilities offered by relational thinking. The study identifies and characterizes a relational paradigm within sustainability research, urging researchers to develop an agenda to advance this paradigm in sustainability research, practice, and education.
Article
Computer Science, Information Systems
Juan Carlos Seck-Tuoh-Mora, Norberto Hernandez-Romero, Joselito Medina-Marin, Genaro J. Martinez, Irving Barragan-Vite
Summary: Complex behaviors in cellular automata have been developed using randomly generated specimens to specify automata with complex behaviors, with an explanation provided for this method. Utilizing a genetic algorithm, the specification was optimized to obtain specimens of higher complexity.
INFORMATION SCIENCES
(2021)
Article
Mathematics, Applied
Ikaro Daniel de Carvalho Barreto, Tatijana Stosic, Romulo Simoes Cezar Menezes, Antonio Samuel Alves da Silva, Osvaldo A. Rosso, Borko Stosic
Summary: This study investigated the impact of the construction of cascade dams and reservoirs on the predictability and complexity of the Sao Francisco River's streamflow in Brazil. The research found that the reservoirs' operations made the streamflow series less predictable. Weighted CECP provided finer details in the predictability of streamflow due to the inclusion of amplitude information. The study also revealed the influence of the Paulo Alfonso complex and identified a streamflow alteration unrelated to the dams' construction.
Article
Mathematics, Interdisciplinary Applications
Javier E. Contreras-Reyes, Omid Kharazmi
Summary: This paper introduces the belief Fisher-Shannon (BFS) information plane based on basic probability assignment concept, and presents upper and lower bounds of BFS information. It extends the BFS information plane to belief Fisher-Renyi and fractional belief Fisher-Shannon ones, based on Generalized Renyi and fractional Deng entropies, respectively. The study demonstrates the efficiency of the proposed information planes compared to parametric and non-parametric methods, such as the one based on kernel density function, through simulation studies and applications.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Physics, Multidisciplinary
Jonah Kudler-Flam, Ramanjit Sohal, Laimei Nie
Summary: This paper investigates the role of conservation laws in the thermalization process from an information-theoretic perspective in non-integrable systems. It shows that even when a system conserves energy, the maximal amount of information is still scrambled at late times, but the amount of scrambled information decreases when the system has additional symmetries leading to degeneracies in the spectrum.
Article
Psychology, Multidisciplinary
Ralf Naumann, Wiebke Petersen
Summary: This study introduces a new theoretical account of the N400 event-related potential component, interpreting it in terms of cognitive operations related to access and integration of information in categorization, defining predictability component as information gain and plausibility component as difference in typicality between categories, and the N400 amplitude as a function of both components.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Health Care Sciences & Services
Joachimh P. Sturmberg, Carmel M. Martin
Summary: Universal health care (UHC) focuses on financing, while primary health care (PHC) focuses on providing the right care for individuals and communities to achieve the best health outcomes. The achievement of UHC through PHC requires strengthening the three pillars of PHC and developing a dynamic system that considers finance, individual, and local needs. Additionally, it is important to focus on political leadership and a dynamic bottom-up agency to ensure that communities can shape primary care services to meet their specific needs.
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2021)
Article
Health Care Sciences & Services
Joachim P. Sturmberg, Peter Tsasis, Laura Hoemeke
Summary: COVID-19 has highlighted the vulnerable state of global health and social systems, calling for enhanced emergency health crisis preparedness, integrated policy frameworks, and clear communication. It is essential to establish a robust distributed health system and transparent communication to build trust in the system. Additionally, systems thinking and complexity sciences should inform the redesign of strong health systems to address the current health crisis and create healthy, resilient, and productive communities.
INTERNATIONAL JOURNAL OF HEALTH POLICY AND MANAGEMENT
(2022)
Article
Health Care Sciences & Services
Joachim P. Sturmberg, Linn O. Getz, Kurt C. Stange, Ross E. G. Upshur, Stewart W. Mercer
Summary: Multimorbidity, the co-occurrence of multiple long-term conditions in an individual, poses a significant burden on healthcare systems, physicians, and patients globally. A person-focused care approach based in complexity science offers an integrated perspective on managing multimorbidity, emphasizing the importance of understanding the individual's living environment, relationships, and physiological function in addition to their medical conditions.
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2021)
Article
Psychiatry
Joachim P. Sturmberg
Summary: This article discusses the role of interoception in conveying one's overall physiological state, as well as the complex-adaptive system states of health and disease. It emphasizes the experiential nature of health states and the distinct patterns of overall function of individuals, while also exploring how to understand complex patterns of health and disease and improve patient management.
FRONTIERS IN PSYCHIATRY
(2021)
Review
Health Care Sciences & Services
Joachim Sturmberg, Elisabeth Paul, Wim Van Damme, Valery Ridde, Garrett W. Brown, Andreas Kalk
Summary: During the pandemic, single stories fail to capture the complexity of the global situation, showing the importance of listening to multiple narratives to effectively address challenges. Lack of transparency and coherent pandemic management highlight global deficiencies in public health policy and planning, leading to growing distrust in governments' crisis management abilities.
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2022)
Editorial Material
Health Care Sciences & Services
Carmel Martin, Joachim Sturmberg
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2022)
Article
Health Care Sciences & Services
Felix Tretter, Eva M. J. Peters, Joachim Sturmberg, Jeanette Bennett, Eberhard Voit, Johannes W. Dietrich, Gary Smith, Wolfram Weckwerth, Zvi Grossman, Olaf Wolkenhauer, James A. Marcum
Summary: This paper argues that data-driven analysis alone is insufficient for understanding the COVID-19 pandemic and for justifying public health regulations. It emphasizes the need for over-arching hypothesis-related and/or theory-based rationales to conduct effective research on SARS-CoV2/COVID-19.
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2023)
Article
Health Care Sciences & Services
Joachim P. Sturmberg
Summary: The systemic failure of organizational learning is not surprising, as every system delivers outcomes according to its design. Knowledge management/transfer is a property of the organizational system rather than a specific technique. Creating and maintaining a learning culture requires leadership that promotes continuous dialogue for tacit and explicit knowledge exchange.
INTERNATIONAL JOURNAL OF HEALTH POLICY AND MANAGEMENT
(2023)
Editorial Material
Health Care Sciences & Services
Joachim P. Sturmberg, Carmel M. Martin
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2022)
Article
Health Care Sciences & Services
Joachim P. Sturmberg, Bruno Kissling, Thomas Kuehlein
Summary: Patients expect clinicians to provide certain and predictable treatments, but uncertainty is challenging for both patients and clinicians. This paper presents three case studies to illustrate the uncertainties in managing life-threatening illnesses. Research aims to provide answers, but it simplifies real-world complexities and cannot guarantee certainty and predictability in individual contexts.
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2023)
Editorial Material
Health Care Sciences & Services
Andrea Saltelli, Joachim P. Sturmberg, Daniel Sarewitz, John P. A. Ioannidis
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2023)
Editorial Material
Health Care Sciences & Services
Joachim P. P. Sturmberg
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2023)
Article
Health Care Sciences & Services
Joachim P. Sturmberg, James A. Marcum
Summary: It is widely acknowledged that most health and clinical outcomes are influenced by interacting causes, yet medical research studies often focus on studying the effect of a single cause. This narrow approach fails to address systemic, interconnected problems in medicine and healthcare. A shift in scientific thinking is needed to understand the complex relationships between variables and explore multiple causes and effects in research methodologies.
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2023)
Editorial Material
Health Care Sciences & Services
Joachim P. Sturmberg
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2023)
Article
Health Care Sciences & Services
Joachim Sturmberg, Len Gainsford
Summary: The Royal Commission into Aged Care Quality and Safety has identified issues with the Australian residential aged care system, but its recommendations have not yet been translated into policies that ensure vulnerable residents receive dignified care. The system needs measures that reflect its purpose and can be easily implemented, while reducing bureaucratic burden.
JOURNAL OF EVALUATION IN CLINICAL PRACTICE
(2023)