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The lack of citations of previous research is the result of serious problems all readers of scholarly publications have: (1) articles are unnecessarily long (2) they are written in unnecessarily complex prose (3) journal subscriptions and books are very expensive. The solution: Short, clearly written scholarly papers, published in open‐access journals. [ABSTRACT FROM AUTHOR]

Objective To disentangle the concepts of primary health care and primary care as well as their conceptual and empirical ramifications for progressive transformation. Methods over 400 international and interdisciplinary abstracts and papers with 96 annotated bibliography abstracts of literature across multiple dimensions relating to the knowledge base around mechanisms in PHC development were reviewed. The text is confronted with the reality, as it exists in the field and makes the case for complexity perspectives to assess this phenomenon in its context. Conclusion PHC complexity is an important analytical tool to interrogate the ways in which this phenomenon is socially constructed as well as in the matrices in which it is embedded. It is also a potent analytical tool to assist in the deconstruction of prevalent linear thinking built around PHC as a whole. [ABSTRACT FROM AUTHOR]

Several studies highlight that the method and the object of analysis of Agent‐Based models are in various respects in stark contrast to the prevailing neoclassical paradigm and therefore should be included in the traditions of alternative economic thought. In this paper, however, we show that distinctive features of the neoclassical theory can be found in most of the AB literature. Through a systematic review of most cited academic papers published in the period 1996–2019 and dedicated to Agent‐Based models, we show that a "neoclassical influence" can be detected in 61% of papers, while only 39% do not have links with the mainstream neoclassical approach. We also note that after the "great recession" started in 2008 the neoclassical influences on AB literature decline to a significant extent. [ABSTRACT FROM AUTHOR]

This is the fourth of a series of papers on the stages of critical systems practice. Critical systems practice is a multimethodology that seeks to employ the ideas of critical systems thinking to intervene in and improve complex real‐world 'messes'. It has four stages—Explore (the problem situation), Produce (an intervention strategy), Intervene (flexibly), and Check (on progress)—called to mind as EPIC. The aim is to set out where thinking has reached on the best way to carry out each of these stages and to invite comment on what more needs doing. This paper discusses the fourth stage, Check. During Check, decision makers, and other stakeholders, evaluate the intervention, reflect on what has happened with a view to improving future interventions, and discuss next steps. [ABSTRACT FROM AUTHOR]

This is the third of a series of papers on the stages of critical systems practice. Critical systems practice is a multimethodology that seeks to employ the ideas of critical systems thinking to intervene in and improve complex real‐world problem situations. It has four stages—Explore (the problem situation), Produce (an intervention strategy), Intervene (flexibly) and Check (on progress)—called to mind as EPIC. The aim is to set out where thinking has reached on the best way to carry out each of these stages and to invite comment on what more needs doing. This paper discusses the third stage, Intervene. It is concerned with executing a flexible multimethodological intervention in accordance with the agreement reached by decision makers, and other stakeholders, at the end of the previous stage. The theoretical and practical problems associated with multimethodological interventions are discussed, and solutions and ways forward are suggested based on the philosophy of pragmatism. [ABSTRACT FROM AUTHOR]

As today's engineering systems have become increasingly sophisticated, assessing the efficacy of their safety‐critical systems has become much more challenging. The more classical methods of "failure" analysis by decomposition into components related by logic trees, such as fault and event trees, root cause analysis, and failure mode and effects analysis lead to models that do not necessarily behave like the real systems they are meant to represent. These models need to display similar emergent and unpredictable behaviors to sociotechnical systems in the real world. The question then arises as to whether a return to a simpler whole system model is necessary to understand better the behavior of real systems and to build confidence in the results. This question is more prescient when one considers that the causal chain in many serious accidents is not as deep‐rooted as is sometimes claimed. If these more obvious causes are not taken away, why would the more intricate scenarios that emanate from more sophisticated models be acted upon. The paper highlights the advantages of modeling and analyzing these "normal" deviations from ideality, so called weak signals, versus just system failures and near misses as well as catastrophes. In this paper we explore this question. [ABSTRACT FROM AUTHOR]

Modern product development often generates systems of high complexity that are prone to emergent behavior. The industry has a need to establish better practices to detect inherent emergent behavior when engineering such systems. Philosophers and researchers have debated emergence throughout history, tracing to the time of the Greek philosopher Aristotle (384–322 B.C.) and current literature has both philosophical and practical examples of emergence in modern systems. In this review paper, we investigate the phenomenon of emergent behavior in engineered systems. Our aim is to describe emergence in engineered systems and propose methods to detect it, based on literature. Emergence is in general explained as dynamic behavior seen at macro level that cannot be traced back to the micro level. Emergence can be known or unknown in combination with positive or negative. We find that best practices to engineer complicated systems should contain a sensible suite of traditional approaches and methods, while best practices to engineer complex systems need extensions to this considering a new paradigm using incentives to guide system behavior rather than testing it up‐front. [ABSTRACT FROM AUTHOR]

In this paper, we explore a concept of exercise design within emergency management competence development. The paper presents recommendations for exercise design aspects that may be suitable for gaining collaboration skills and knowledge that responders need in unknown events of high complexity. This study explores the practice of tabletop exercises with complex scenarios that engage participants to discover organizational roles and responsibility division in collaborative action. Empirically, we base our analysis on maritime search and rescue nuclear preparedness exercises in the Arctic seas. We focus on elements that are essential for learners to increase their knowledge of operational complexity and collaborative performance, including understanding one's own and others' roles and responsibilities, formation of interagency teams, their boundaries and interaction between authorities and levels, mutual recognition of risks and learning about resource capacities and their limitations. The study draws conclusions on aspects that are critical for designing emergency management tabletop exercises, in particularly discussions in mixed groups for interpretative learning; own practice reflection for integrative learning; formulating general collaborative competence objectives, and complexity and realism of scenarios. [ABSTRACT FROM AUTHOR]

This paper deals with the problem of scheduling a set of unit‐time jobs on a set of uniform machines. The jobs are subject to conflict constraints modeled by a graph G called the conflict graph, in which adjacent jobs cannot be processed on a same machine. The objective considered herein is the minimization of maximum job completion time in the schedule, which is famous to be NP‐hard in the strong sense. The first part of this paper is an extensive study of the computational complexity of the problem restricted to several graph classes, namely: split graphs, interval graphs, forests, trees, paths and cycles. Afterward, we focus on the resolution of the problem with arbitrary conflict graphs. For this latter, a combination of a mixed integer linear programming (MILP) formulation, lower and upper bounds is proposed. A wild range of computational experiments proved the efficiency of this technique to tremendously reduce runtime and produce more optimal solutions (around 80% in average). Furthermore, a deep analysis of the resolution process based on both the density of the conflict graph as well as machine speeds (including identical machines) is thoroughly reported. [ABSTRACT FROM AUTHOR]

Background Aims Methods & Procedures Outcomes & Results Conclusions & Implications What this paper adds What is already known on the subject What this paper adds to existing knowledge What are the potential or actual clinical implications of this work? Previous studies on language production in normal ageing have primarily focused on distinct dimensions of older adults’ spoken language performance, such as fluency and complexity. However, little attention has been paid to the complex, interconnected relations between these dimensions. Additionally, older adults have been treated as a homogeneous group, with little consideration for the differential characteristics of language performance across different stages of ageing.This study aims to investigate how increasing age impacts Chinese seniors’ oral language performance, focusing on fluency (articulation rate and dysfluency rate), complexity (lexical and syntactic) and the potential interactions between these dimensions.Spontaneous oral narratives were collected from 60 normally ageing individuals, who were categorised into three groups: young‐old (60–69 years old), middle‐old (70–79 years old) and old‐old (≥80 years old). Four measures for assessing language performance, namely, articulation rate, dysfluency rate, lexical complexity and syntactic complexity, were derived from the oral narratives. Dynamic systems techniques, including moving correlations, locally estimated scatterplot smoothing and Monte Carlo simulations, were employed for data analysis.This study revealed two major findings. First, across different age groups, the seniors’ oral narratives significantly differed in the aspect of articulation rate and syntactic complexity. Specifically, both the young‐old and the middle‐old groups exhibited significantly higher articulation rates than the old‐old group; the middle‐old group also demonstrated significantly higher syntactic complexity compared to the old‐old group. Second, the distinct subsystems (i.e., articulation rate, dysfluency rate, lexical and syntactic complexity) of seniors’ oral narratives demonstrated varying interactions across different stages of ageing. While these subsystems tended to coordinate with each other in young‐old individuals, they exhibited a greater tendency to compete in middle‐old and old‐old individuals.The findings reveal that subsystems of older adults’ oral narratives display varying interactions with the increase of age, indicating that focusing solely on one dimension of language performance may result in inaccurate or misleading conclusions. Therefore, a multi‐index comprehensive assessment should be employed for the enhancement of clinical evaluations of language performance in older adults. Additionally, it is vital to consider the interactional patterns (i.e., support or competition) between language subsystems when assessing language performance in normal ageing. Previous research on language production in normal ageing has primarily focused on distinct dimensions of older adults’ spoken language performance, such as fluency, vocabulary richness and grammatical complexity, overlooking the intricate interconnections between these dimensions. However, investigating these connections is significant for a thorough and in‐depth understanding of language production in late adulthood, which operates as a system comprising interconnected components. Furthermore, existing studies have predominantly treated older adults as a homogeneous group, comparing their language use to that of young people. This approach lacks justification, given the substantial variations in language use among seniors at different stages of ageing. The present findings illuminate the dynamic nature of language production in normal ageing. Not only do the distinct dimensions or subsystems of older adults’ oral narratives (e.g., articulation rate, dysfluency rate, syntactic complexity) change with age, but more important, the ways in which these subsystems interact with each other also evolve with age, resulting in changing states of spoken language production in the ageing process. More specifically, our study provides evidence that the interactions among subsystems of older adults’ oral narratives predominately transition from supportive relationships in earlier stages to competitive ones at later stages of ageing. The present study suggests the use of multiple linguistic indices related to various aspects of language performance to assess the spoken language production of older adults. This is highlighted by the observation that various dimensions of older adults’ oral narratives continuously interact with one another across different stages of ageing, and hence focusing solely on one dimension of language performance tends to lead to inaccurate or misleading results. Additionally, the patterns of interaction (i.e., support or competition) between different dimensions of language performance may reflect older adults’ capacity to coordinate and control attentional resources and therefore should be taken into consideration in clinical evaluations of language performance in older adults. [ABSTRACT FROM AUTHOR]

This paper proposes a new method for detecting abnormal movements of short‐term interest rates by using permutation entropy (PE) as a complementary early‐warning signal. Empirical results have shown that the PEs of the US T‐Bill rates plunged below the thresholds of normal movements before the financial crisis of 2007–2009, and the PE of 3‐month Euribor similarly dropped before the European sovereign debt crisis of 2010. Additionally, it was found that the PEs of spreads of both domestic interest rates and Libors dropped against the US T‐Bill rates below the thresholds in 2005. This evidence could serve as useful information for policymakers in crisis periods. [ABSTRACT FROM AUTHOR]

This paper proposes an interdisciplinary approach aimed to bring into practice some novel Software Engineering theoretical paradigms. The premise of these news paradigms is based on the idea of "ecologies" as realities that take place in the environment of a Software product. These "ecologies" are understood as tight but flexible interactions between the human, social, and technical components involved, where Software is just another component. However, the theoretical paradigms discussed do not offer a viable way to make sense of these ecologies into the practice of Software design and development. Thus, as a more operationalized approach, this paper proposes a framework based on Networks of Activities, a concept derived from Activity Theory, as a resource to help in the design, development, and evolution of these new emergent complex socio‐technical ecologies. This framework has been conceived as a tool for the design, capture, and, especially, to analyze the evolution of these ecologies. The concepts and notations used by the proposed approach are illustrated through a proof of concept that shows the essential ideas and their use in real scenarios. In this way, the concepts discussed contribute to the improvement of related fields like Requirements Engineering, Human‐Computer Interaction, or Software Architecture, among others. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Analytical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

We investigate the role of both internal and external co‐inventor networks in regional diversification. The impact of co‐inventor networks on regional technological diversification is tested for a data set containing 1,495,699 patents in 643 technologies in 290 European regions at the NUTS‐2 level, between 1987 and 2016. Our results show that both internal co‐inventor network connectivity and external co‐inventor network linkages could benefit regional technology entry and prevent regional technology exit. However, too inwardly oriented or outwardly connected co‐inventor networks would hamper patent production. Regarding regional diversification, we find that both internal and external co‐inventor networks could facilitate the entry of related technologies and restrain the exit of complex technologies. This paper contributes to the literature by initiating the integration of the complexity dimension into analysing the role of co‐inventor networks in regional diversification. This research bears significant policy implications for the advancement of Smart Specialization Strategy in the European Union. [ABSTRACT FROM AUTHOR]

Rationale: The Black, Indigenous, and People of Colour populations in the United States are disproportionately affected by the emerging health threat SARS‐CoV‐2, which causes COVID‐19. Aims and Objectives: This paper aims to demonstrate the usefulness of critical systems thinking by using scenario planning based on epidemiological data and tying epidemiology with soft systems methodology to investigate COVID‐19 disparities among disproportionately affected Black, Indigenous, and People of Colour populations. Methods: Using a review of the COVID‐19 literature and publicly available US COVID‐19 data, critical systems thinking is applied in a scenario planning example and a call to link soft systems methodology with epidemiology. Results: According to the four plausible Endgame scenarios, levels of community transmission as well as the current state transmission are based on the driving forces of the scenarios. In addition, soft systems methodology explores the effect on stakeholders and strengthens the picture of disease burden beyond sole reliance on traditional data sources. Conclusion: This analysis underscores employing critical systems thinking to critically assess diverse methods appropriate for the ongoing complexity of global crises. It is argued that critically engaged subjectivity should be given space alongside data‐dependent objectivity. COVID‐19 disparities are reliant on the social determinants of health's effects as driving forces on disease transmission in Black, Indigenous, and People of Colour populations. It is moreover argued that critical systems thinking is demonstrated by linking epidemiological evidence with scenario planning and soft systems methodology. This in turn supports a critical systems thinking approach to uncover the state of health disparities among minoritized communities under COVID‐19. [ABSTRACT FROM AUTHOR]

Abstract: Something important is happening in applied, interdisciplinary research, particularly in the field of applied health research. The vast array of papers in this edition are evidence of a broad change in thinking across an impressive range of practice and academic areas. The problems of complexity, the rise of chronic conditions, overdiagnosis, co‐morbidity, and multi‐morbidity are serious and challenging, but we are rising to that challenge. Key conceptions regarding science, evidence, disease, clinical judgement, and health and social care are being revised and their relationships reconsidered: Boundaries are indeed being redrawn; reasoning is being made “fit for practice.” Ideas like “person‐centred care” are no longer phrases with potential to be helpful in some yet‐to‐be‐clarified way: Theorists and practitioners are working in collaboration to give them substantive import and application. [ABSTRACT FROM AUTHOR]

This paper studies how innovation teams can be optimally configured to yield the best possible performance at different stages of a certain technology's life cycle, which correspond to different levels of environmental complexity. To conduct our analysis, we have employed computational simulations of communities searching NK landscapes at varying levels of complexity. We studied how the relative proportion of exploring agents to exploiting agents in a community impacts the evolution of scores over time, and conducted additional investigations into the role of specialization (i.e., the agents' propensity to take their preferred action) and density (i.e., the expected width of social groups within the community). We discover that majority‐explorer teams are to be preferred when complexity is high and over the long run, whereas majority‐exploiter teams are more effective in the short run and at low complexities. Furthermore, we show that higher levels of specialization yield better results at higher complexities, and that majority‐explorer teams benefit the most from higher levels of density. We conclude that different team compositions are to be preferred at different stages of maturity, and that selecting a time horizon for operations is of crucial importance when designing an innovation team. [ABSTRACT FROM AUTHOR]

In this paper, we study novel classes of solutions characterizing the role of complexity on static and spherically symmetric self‐gravitating systems proposed by L. Herrera (Phys Rev D 97: 044010, 2018) in the gravitational decoupling background. We start by considering the minimal geometric deformation approach as a ground‐breaking tool for generating new physically viable models for anisotropic matter distributions by exploiting the Buchdahl and Tolman models. In both models, all solutions show similar results with a slight change in their magnitude for a non‐vanishing complexity factor i.e., 0≤β<1$0\le \beta < 1$, where β is a decoupling constant. However, under vanishing complexity factor i.e., β=1$\beta = 1$, the minimally deformed anisotropic Buchdahl model yielded a constant density isotropic fluid distribution and anisotropic matter distribution becomes an isotropic fluid matter distribution without invoking any isotropy requirement. On the other hand, Tolman model possesses an increasing pressure when the complexity factor vanishes. Furthermore, we also extend our findings by calculating the mass‐complexity factor relationship for both presented models, revealing that the mass is larger for small values of the decoupling constant β and the complexity factor YTF$Y_{TF}$. In this paper, novel classes of solutions will be studied characterizing the role of complexity on static and spherically symmetric self‐gravitating systems proposed by L. Herrera ([10]) in the gravitational decoupling background. The authors start by considering the minimal geometric deformation approach as a ground‐breaking tool for generating new physically viable models for anisotropic matter distributions by exploiting the Buchdahl and Tolman models. In both models, all solutions show similar results with a slight change in their magnitude for a non‐vanishing complexity factor i.e., 0 ≤ β < 1. However, under vanishing complexity factor i.e., β = 1, the minimally deformed anisotropic Buchdahl model yielded a constant density isotropic fluid distribution and anistropic matter distribution becomes an isotropic fluid matter distribution without invoking any isotropy requirement. On the other hand, Tolman model possesses an increasing pressure when complexity factor vanishes. Furthermore, the findings are extended by calculating the mass‐complexity factor relationship for both presented models, revealing that the mass is larger for small values of the decoupling constant β and the complexity factor YTF. [ABSTRACT FROM AUTHOR]

This is the Introduction to the special issue on "Analytical Political Economy: complexity, growth, international trade." [ABSTRACT FROM AUTHOR]

Based on implicit person theories, this paper investigates the relationship between the growth mindset of management accountants and changes in the design of costing systems, as well as the role that organisational culture plays in this relationship. Using survey data from 146 management accountants of manufacturing companies, we find that management accountants who have a growth mindset increase the complexity, inconclusiveness, and functionality of their firm's costing system, compared to those who have a fixed mindset. Additionally, our results show that innovation‐oriented culture (a dimension of organisational culture) strengthens the relationship between growth mindset and changes in the design of the costing system. [ABSTRACT FROM AUTHOR]

In this editorial for our special topic forum (STF) on Global Supply Chain Research, we present a novel approach that empowers firms to evaluate their supply chain complexity's current state and potentially reveal hidden patterns of complexity. Our focus lies in developing a configurational understanding of global supply chain complexity, leveraging the diverse perspectives, and insights provided by the existing literature on this subject. Furthermore, we shed light on exciting opportunities for future research and introduce the accepted research papers featured in this STF. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Analytical Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This Research Note seeks to add to the body of knowledge concerning social sustainability in work organizations, especially within the context of new challenges and threats in contemporary, post-industrial working life. Moreover, the intention is to explore the added value of the complexity lens in promoting social sustainability at work. Work organizations are conceptualized as Chaordic systems to make accessible some aspects of organizations' structure and dynamics important for social sustainability. Our earlier paper (Kira and van Eijnatten, ) on the theme was critically assessed by Merrelyn Emery (). Therefore, we offer clarifications of some aspects in our earlier paper. Copyright © 2010 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

This paper draws on systems thinking and selected case studies to explore how 'prac‐ademic' partnerships can create impact in real‐world settings. The paper argues that knowledge co‐generation partnerships are sub‐systems of the complex systems in which research is being undertaken and that governance arrangements are central to enabling partners to work together more effectively to achieve research impact. Reflecting on two successful knowledge co‐generation case examples, three distinct areas are identified that need to be understood from a systems perspective to enable future success. These are the importance of (1) developing a clear framing and shared purpose; (2) developing flexibility in contracting that enables new deliverables to emerge; and (3) the project team comprising bilingual team members who understand the contextual demands of both academia and practice. These elements will facilitate the co‐generation of knowledge through prac‐ademic partnerships and become a path to creating research impact. The paper draws on systems thinking and selected case studies to explore how academic/practitioner ('prac‐ademic') partnerships can create research impact.Knowledge co‐generation partnerships are sub‐systems of the complex systems in which research is being undertaken.Governance arrangements are central to enabling partners to work together more effectively to achieve research impact. In particular the following are important:developing a shared purpose for the partnership (not a shared view of the problem)developing flexibility in contracting that enables new deliverables to emergethe project team comprising bilingual team members. [ABSTRACT FROM AUTHOR]

The quantum information measures and complexity of the modified Mobius squared plus Eckart (MMSE) potential are presented in this paper. First, the energy eigenvalues and wave function of the system are obtained from the approximate solutions of the Schrödinger equation via the parametric Nikiforov‐Uvarov (pNU) method. Using the wave function, the Shannon entropy, Onicescu information energy and Fisher information of the system are examined for two low‐lying states along with the modified Lopez‐Ruiz‐Mancini‐Calbet (LMC) complexity and Heisenberg uncertainty relation. The results of the work point to the fact that the radial (momentum) probability density peak shifts to lower (higher) values with increase in the screening parameter. Furthermore, the Bialynicki‐Birula and Mycielski (BBM) inequality, the lower bound of the modified LMC complexity, the Fisher information sum inequality and the Stam‐Cramer‐Rao inequality are verified for the system. Also, the Heisenberg uncertainty principle is verified for the MMSE potential and the existence of squeezed states is observed for both position and momentum states. [ABSTRACT FROM AUTHOR]

Let Ln8,4 represent a linear octagonal‐quadrilateral network, consisting of n eight‐member rings and n four‐member rings. Such a graph contains a unique pair of opposite edges. The Möbius graph Qn(8, 4) is constructed by reverse identifying these opposite edges, whereas the cylinder graph Qn′(8, 4) identifies the opposite edges in the natural manner. In this paper, the explicit formulas for the Kirchhoff index and complexity of Qn(8, 4) and Qn′(8, 4) are deduced from Laplacian characteristic polynomials using to decomposition theorem and Vieta's theorem. A consequence is the surprising fact that the Kirchhoff index of Qn(8, 4) (resp. Qn′(8, 4)) is approximately a third (resp. half) of its Wiener index as n→∞. [ABSTRACT FROM AUTHOR]

The hydrological regime is the main factor governing the functioning of floodplain rivers. A full comprehension of its dynamic leads to a better understanding of the system's behaviour. We analysed the daily water level of the Paraná River during the last century at three gauge stations using linear and non‐linear tools to characterise the hydrological dynamic and to analyse to what extent chaotic behaviour prevails. The three water level time series were characterised as non‐linear and non‐stationary by power spectrum, autocorrelation function, and surrogate test analyses. A strange attractor was developed when the phase space was reconstructed, having a low dimensional chaos supported by correlation dimension, positive maximum Lyapunov exponents, and recurrence quantification analysis. The sample entropy analysis shows that the system resulted unpredictable beyond a temporal threshold, and with an intermediate hydrological complexity, while Hurst exponent characterised it as persistent and with sensitive dependence on initial conditions. In a general overview, all the evidence obtained indicates that the Paraná River's behaviour is at the edge of chaos. A latitudinal gradient of decreasing chaoticity was observed as the floodplain extent increased, whereas complexity was highest at the intermediate river station due to the inflow of tributaries with different hydrology. This paper attempts to offer some additional insights for understanding the hydrological behaviour of floodplain rivers and the most appropriate methods to understand their complexity. [ABSTRACT FROM AUTHOR]

Existing methods in social [oral] epidemiology primarily utilize statistical models that assume static characteristics of individuals and environments. While useful, an over reliance on these methods in the social and behavioural sciences can unnecessarily limit perspective and progress as even the most advanced statistical methods cannot capture complex behaviour over time given that systems evolve, environments respond, and behaviours and beliefs crystalize or deteriorate based on a variety of social, environmental and access variables. The recent consensus statement on Future Directions for the Behavioral and Social Sciences in Oral Health acknowledges that dental, oral and craniofacial health emerge from the complex interplay of multiple factors at multiple levels over time and highlights the need for the incorporation of new and underutilized methodologies. Complex Systems Science offers a suite of tools and methodologies that are responsive to the generative mechanisms and processes that underlie population distributions of oral health and disease. Specifically, they assume intricate, dynamic interactions between individuals and groups, they facilitate the study and synthesis of interconnections between people (e.g. patients, healthcare providers and policy makers), how these change over time, any differences across settings, and provide an opportunity to guide future longitudinal data collection and intervention science more effectively. This paper aims to provide an introduction to foundational principles of complex systems, complex systems thinking, and methods found in complex systems science, including social network analysis, system dynamics models and agent‐based models, and offers perspectives on the challenges faced and opportunities afforded in the incorporation of these methods into the population oral health sciences. [ABSTRACT FROM AUTHOR]

This paper presents a conceptual model for a renewed consideration of the complex adaptive systems (CAS) perspective in operations and supply chain management research. A literature review identifies the approaches taken in published research to examine issues such as complexity, adaptation, and emergent behavior. We present a revised conceptual framework that offers directions for embracing key tenets from CAS research so as to gain deeper insights into pertinent issues within the field. We introduce the articles that are part of this special issue and highlight how these articles relate to the conceptual framework proposed in the paper. We also propose some methodological directions that can help in undertaking rigorous investigations of some important aspects that have theoretical and managerial significance. [ABSTRACT FROM AUTHOR]

This paper draws lessons from the Ebola Virus Disease epidemic to suggest how health systems research can be strengthened to assist better with preparedness for and mitigation of future public health emergencies. The epidemic killed more than 11 000 people in West Africa between February 2014 and January 2016. The causes of the epidemic and the response to the outbreak harbour many lessons concerning how health systems were overwhelmed and need to be re‐designed in order to cope with future public health emergencies and limit their escalation. From these lessons, it is possible to identify the most significant systemic issues that must be addressed to ensure health systems can exhibit greater resilience in the face of similar events in the future. The paper goes on to consider the current capacity of health systems research (HSR) to assist with the management of these issues and to suggest that critical systems thinking and practice could empower health systems researchers and practitioners in a manner that would give them much greater potency. The research has additional importance now that Covid‐19 has demonstrated that pandemics are not 'black swan' events. [ABSTRACT FROM AUTHOR]

The paper contributes to the growing literature on the relationship between relatedness, complexity and regional diversification. It explores regional diversification in an emerging economy, focusing on diversification opportunities of regions with distinct levels of local capabilities. We investigate the importance of relatedness and economic complexity for sectoral and technological diversification in all regions of Brazil during the period 2006–2019. Regions tend to diversify in sectors/technologies requiring similar capabilities to those already available locally. In general, the higher the sector/technology complexity, the lower the probability of diversification. However, in high‐complex regions, complexity reverses into a positive force for diversification. Our analysis shows diversification prospects vary widely across different types of regions in Brazil. [ABSTRACT FROM AUTHOR]

Rationale, aims and objectives: Generalists manage a broad range of biomedical and biographical knowledge as part of each clinical encounter, often in multiple encounters over time. The sophistication of this broad integrative work is often misunderstood by those schooled in reductionist or constructivist approaches to evidence. There is a need to describe the practical and philosophically robust ways that understanding about the whole person is formed. In this paper we describe first principles of generalist approaches to knowledge formation in clinical practice. We name the Craft of Generalism. Methods: The newly described methodology of Transdisciplinary Generalism is examined by skilled generalist clinicians and translated into skills and attitudes useful for everyday generalist person‐centred practice and research. Results: The Craft of Generalism defines the required scope, process, priorities, and knowledge management skills of all generalists seeking to care for the whole person. These principles are Whole Person Scope, Relational Process, Healing Orientation, and Integrative Wisdom. These skills and attitudes are required for whole person care. If any element of these first principles is left out, the resultant knowledge is incomplete and philosophically incoherent. Conclusions: Naming the Craft of Generalism defines the generalist gaze and protects generalism from the colonization of a narrowed medical gaze that excludes all but reductionist evidence or constructivist experience. Defining the Craft of Generalism enables clear teaching of the sophisticated skills and attitudes of the generalist clinician. These philosophically robust principles encourage and defend the use of generalist approaches to knowledge in settings across the community – including health policy, education, and research. [ABSTRACT FROM AUTHOR]

In this paper, based on the Adomian decomposition method (ADM) semi analytical solution algorithm, dynamics and complexity of the conformable fractional‐order two‐machine interconnected power system are investigated numerically by the bifurcation diagram, Lyapunov exponents (LEs), chaos diagram, and modified multiscale sample entropy (MM‐SampEn) algorithm separately. The results show that the system has rich dynamics. The angular instability is found and its frequency of occurrence can be judged by the number of scrolls of the chaotic attractor. The coexisting attractors are observed by changing the initial value and the reason is discussed. The high‐complexity region is determined, and MM‐SampEn complexity can indicate different coexisting attractors of the system. The research results in this paper lay a theoretical basis for the application of the conformable fractional‐order two‐machine interconnected power system. [ABSTRACT FROM AUTHOR]

This paper is the result of our increasing interest in the experience of illness in families and the concomitant reflections on how best to therapeutically support these families through this process. This interest led us to reflect on the nuanced way in which language establishes a play with the experience of illness, a play that can amplify or reduce its effects. Such an interplay in turn led us to consider the valuable role that family therapists have in helping families and treating practitioners to create a safe space for conversation about illness. Further questions are also explored in relation to whether there is a role for family therapists in facilitating the interface between our clinical practice with clients and the wider treating medical community. And, if so, what shape would such an interface take? Considerations at this level would include the anticipation of psychological reactions to diagnosis of chronic and life‐threatening illnesses, in particular the importance of ‘normalisation’ of the psychological reactions to such chronic and/or life threatening diagnoses; the complex dynamics emerging from the interface between the effects of illness in the subjectivity of the ill person and the grief experienced by the other family members; different family members’ narratives of the illness; relevant community contexts; and, lastly, ways to help the family members and/or the ill person navigate the medical system including the use of second opinions, cyberspace information, and other systems in their ecology, such as the spiritual dimension. Some aspects of children's narratives of illness are also identified. The paper has been organised around the dialogue that the authors had around one of their clinical cases. [ABSTRACT FROM AUTHOR]

Consumer policy is already being shaped by a combination of governance models. This position paper argues that complexity-oriented convergence models are a timely addition. Modern day consumer policy is characterized as interactive and integrative, replete with shifting boundaries and coalitions and evolving roles for each of state, market and society. This paper focused on governance in the consumer policy arena, arguing that this process needs to acknowledge and reconcile complexity. After describing the basic tenets of complexity theory, two characteristics of contemporary tri-sector interaction (i.e., sector blurring and sector distortion) were discussed. These boundary characteristics necessitate the need for approaches that can accommodate complexity during consumer policy governance. Three examples of the latter were profiled: sector convergence, network governance and cross-sector governance. These conceptualizations accommodate the dynamics, complexity and emergence of contemporary consumer policy governance. [ABSTRACT FROM AUTHOR]

This paper outlines why a move towards a complex adaptive systems model of behaviour is required if the goal is to generate better understanding of how individuals and groups interact with their environment in a disaster setting. To accomplish this objective, a bridge must be built between the broader social sciences and behavioural economics to incorporate discipline‐specific insights that are needed to move towards complexity. This is only possible through a deeper understanding of behaviour and how the environment in which they occur can influence actions. It is then that one can counteract the poor behavioural predictions, flawed policies based on myth, inefficient design, and suboptimal outcomes that have flourished in the absence of a complex adaptive systems model. This paper provides a conceptual framework that draws on concepts from across the natural and social sciences, such as behavioural economics, endocrinology, psychology, sociobiology, and sociology in order to build an interactive theory of disaster behaviour. [ABSTRACT FROM AUTHOR]

Researchers have been observing a complexification of interpersonal relationships in contemporary societies. However, current theoretical perspectives on relationships fall short of comprehensively grasping increasingly diverse and fluid relationship types (e.g., friends with benefits, polyamory, living‐apart‐together, coparenting, etc.) and patterns of change. In an attempt to meet the need for more integrative and interdisciplinary theorizing, this paper introduces a first outline of relationship course theory to better comprehend the complexity of relationships. In contrast to previous theoretical perspectives that conceptualize relationships as a single trajectory, I posit that the course of a relationship is composed of multiple intertwined trajectories, each of which stemming from differentiated domains such as sexuality, friendship, love, family, domesticity, and occupation. These relationship domains constitute a metatypology from which to examine the multiple sets of meanings and temporalities that intertwine throughout the course of a relationship. I propose that relationships are defined based on the combination of relationship domains, with different iterations and permutations of these domains producing various relationship configurations. Furthermore, the theory defines three levels of relationship courses: Sociocultural (i.e., stories that circulate about relationships in given sociocultural contexts), interpersonal (i.e., stories that individuals co‐construct about the particular relationships they experience), and life courses (i.e., stories that individuals co‐construct about themselves as relational beings). This proposition will hopefully stimulate the theoretical conversation on the complexity of relationships and foster dialogue between researchers from different theoretical and disciplinary affiliations. [ABSTRACT FROM AUTHOR]

This paper introduces a Technical Leadership Model designed to address the challenges posed by diverse businesses, the global context, and the technological landscape. The model's development involved a synthesis of cognitive studies on organizational leadership and a literature analysis of INCOSE SE Vision 2035 [Vision 35]. This vision offers insights into present and future Systems Engineering challenges, global megatrends, technological shifts, and a roadmap for enhancing competencies, skills, theoretical foundations, and collaborative opportunities within the systems engineering community. The research was spearheaded by a team within Cohort 7 of the INCOSE Technical Leadership Institute (TLI), aided by coaches and other cohort members. Through structured interviews, surveys, and workshops, these cohort members engaged senior organizational leaders to gather their viewpoints. These insights were amalgamated with the pre‐existing Leadership Model initially developed by a distinguished TLI coach with support from Cohort 1 in 2015 [Godfrey 2015]. The outcomes and conclusions are derived from a diverse range of collaborative methodologies utilized to forge this shared model. Moreover, input from senior leaders across various industries, organizations, and INCOSE TLI members, projecting future leadership trends, enriched the model. This body of work yields an enhanced, collective leadership model encompassing behavioral attributes such as vision, emotional intelligence, communication, effective team management, and an additional layer of dynamism. [ABSTRACT FROM AUTHOR]

Summary: Massive multiple‐input multiple‐output (MIMO) systems improve spectral efficiency and link reliability. Linear minimum mean‐squared error (MMSE) detectors can achieve optimal performance in massive MIMO detection but require large dimension matrix inversion, which is computationally intensive. Therefore, low complexity iterative detection schemes are proposed in the literature as an alternative to the exact MMSE method. However, the performance of these schemes is greatly influenced by the choice of the initial solution. Therefore, to improve the detection performance in this paper, we proposed three hybrid detection schemes, which are Newton–Schultz–Richardson (NS‐RI), Newton–Schultz–Chebyshev (NS‐Cheby), and Newton–Schultz–Gauss–Seidel (NS‐GS). The proposed hybrid schemes show significant performance improvement and a higher convergence rate compared to their original counterpart. The performance of the proposed detectors is further improved by the likelihood ascent search (LAS) stage, which corrects the detected symbols obtained from iterative MMSE methods through a neighborhood search. However, the complexity of the LAS algorithm primarily depends on the initialization step. In this work, we introduce an efficient Gram matrix computation in the real domain. Additionally, we have applied a band approximation of the Gram matrix for the LAS initialization, which reduces the order of computational complexity of the Gram matrix from O(NT2NR) to O(ωNTNR) where ω < <2NT. [ABSTRACT FROM AUTHOR]

Although the COVID pandemic has challenged the resilience of health services in general, this impact has been most visible in intensive care units (ICUs). This paper presents an exploratory study of how ICUs in Brazil have coped with the complexity stemming from the pandemic. Five guidelines for coping with complexity were adopted as analytical framework. The guidelines were concerned with slack resources, diversity of perspectives, visibility, work‐as‐done, and unintended consequences. There were three main sources of data: (i) a survey with respondents from 33 ICUs, which indicated their agreement with 23 statements related to the use of the complexity guidelines; (ii) semistructured interviews with seven survey respondents and two public health officials; and (iii) 20 h of observations of the meetings of a municipal bed management committee. Seventy resilience practices were identified from these data sources. Most of these practices (n = 30) were related to the guideline on slack resources, which were commonly obtained from other hospital units. As for the survey data, the statement related to the availability of extra or standby human resources obtained the lowest score, reinforcing the key role of slack resources. Five lessons learned for coping with complexity in ICUs were drawn from our data; one lesson for each guideline. Furthermore, the survey questionnaire is a potential ICU assessment tool, which can be adapted to other health services. [ABSTRACT FROM AUTHOR]

Quantitative systems pharmacology (QSP) is a relatively new discipline within modelling and simulation that has gained wide attention over the past few years. The application of QSP models spans drug‐target identification and validation, through all drug development phases as well as clinical applications. Due to their detailed mechanistic nature, QSP models are capable of extrapolating knowledge to predict outcomes in scenarios that have not been tested experimentally, making them an important resource in experimental and clinical pharmacology. However, these models are complicated to work with due to their size and inherent complexity. This makes many applications of QSP models for simulation, parameter estimation and trial design computationally intractable. A number of techniques have been developed to simplify QSP models into smaller models that are more amenable to further analyses while retaining their accurate predictive capabilities. Different simplification techniques have different strengths and weaknesses and hence different utilities. Understanding the utilities of different methods is essential for selection of the best method for a particular situation. In this paper, we have created an overall framework for model simplification techniques that allows a natural categorisation of methods based on their utility. We provide a brief description of the concept underpinning the different methods and example applications. A summary of the utilities of methods is intended to provide a guide to modellers in their model endeavours to simplify these complicated models. [ABSTRACT FROM AUTHOR]

This paper critically discusses the utility of using qualitative comparative analysis ( QCA) in geographical research following the 'complexity turn'. Although QCA methodology has increasingly been applied in other social science disciplines, it is not widely used by geographers. The major benefit of QCA is that it can handle complexity by exploring different pathways that generate the same outcome, which applies to much spatial research. Significantly, QCA is case - rather than variable - oriented, which is hugely important when considering the significance of context. In this paper we illustrate how QCA can be applied in the discipline of geography through a case study of area-level health resilience. We argue that QCA can be usefully applied to such geographical questions as it aids our understanding of the complex processes that lead to spatial variations in health. Moreover, QCA enables geographical research to bridge the quantitative-qualitative divide. We conclude that QCA has great potential for exploring the complex, spatial factors that influence area-level health resilience by being context-sensitive and case-oriented. We make the case for applying this methodology in future geographical research. [ABSTRACT FROM AUTHOR]

The capability approach (CA) is a framework for understanding, assessing, and promoting the quality of human lives and social justice. It focuses on capabilities – people's freedoms and opportunities to live in valuable ways. Although its proponents readily acknowledge that capabilities can depend on personal, social and environmental factors, little attention has been paid to the ontology of capabilities (what they are and how they are caused and constituted) and the inherent relationality of the approach is often not well followed through in research and practice. This, we suggest, leaves the CA vulnerable to misinterpretation and misappropriation. In this paper we draw on the complementary lenses of critical realism, hermeneutics and complexity theory to develop an explicitly relational ontology of capabilities that explains how capabilities, as potential for ways of being or forms of doing, are generated by both personal agency and material and social structures. We demonstrate how these lenses can illuminate the relational constitution of particular capabilities through reference to a composite case involving a man called Bert and his healthcare team. We outline how our relational ontology of capabilities can demand and support more theoretically coherent and socially just approaches to CA informed practice, research and policy. [ABSTRACT FROM AUTHOR]

From climate change to potentially disruptive technologies to the COVID‐19 pandemic, our era is characterised by unprecedented complexity and uncertainty. Philosophy has always been a promising tool for facing puzzling scenarios. Yet, contemporary philosophy may not be able to successfully face our era's unprecedented complexity and uncertainty. On the one hand, contemporary philosophy results from a kind of hypertrophisation of logos restricting the forms of rationality legitimately usable. On the other hand, our era's unprecedented complexity and uncertainty seem to require not only restricted forms of rationality, such as logic and computation, but also other forms of rationality underdeveloped in our philosophical tradition, such as wisdom. This paper proposes reasons why increasing our focus on wisdom may help us face our unprecedentedly complex and uncertain era in four respects as philosophers: when educating our students; when publishing our work; when talking to civil society; and when acting in our technological era. [ABSTRACT FROM AUTHOR]

Systems thinking is considered a much-needed competence to deal better with an increasingly interlinked and complex world. The many streams within systems science have diversified perspectives, theories and methods, but have also complicated the field as a whole. This makes it difficult to understand and master the field. Short introductions to fundamental questions of systems science are rare. This paper is divided into three parts and aims to do the following: (1) to provide a broad overview of the structure and purpose of systems science; (2) to present a set of key systems principles and relate them to theoretical streams; and (3) to describe aspects of systems-oriented methodologies within a general process cycle. Integrative visualizations have been included to highlight the relationships between concepts, perspectives and systems thinkers. Several new attempts have been made to define and organize system concepts and streams in order to provide greater overall coherence and easier understanding. © 2013 The Author. Systems Research and Behavioral Science published by John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

SUMMARY In component-based development, software systems are built by assembling components already developed and prepared for integration. To estimate the quality of components, complexity, reusability, dependability, and maintainability are the key aspects. The quality of an individual component influences the quality of the overall system. Therefore, there is a strong need to select the best quality component, both from functional and nonfunctional aspects. The present paper produces a critical analysis of metrics for various quality aspects for components and component-based systems. These aspects include four main quality factors: complexity, dependency, reusability, and maintainability. A systematic study is applied to find as much literature as possible. A total of 49 papers were found suitable after a defined search criteria. The analysis provided in this paper has a different objective as we focused on efficiency and practical ability of the proposed approach in the selected papers. The various key attributes from these two are defined. Each paper is evaluated based on the various key parameters viz. metrics definition, implementation technique, validation, usability, data source, comparative analysis, practicability, and extendibility. The paper critically examines various quality aspects and their metrics for component-based systems. In some papers, authors have also compared the results with other techniques. For characteristics like complexity and dependency, most of the proposed metrics are analytical. Soft computing and evolutionary approaches are either not being used or much less explored so far for these aspects, which may be the future concern for the researchers. In addition, hybrid approaches like neuro-fuzzy, neuro-genetic, etc., may also be examined for evaluation of these aspects. However, to conclude that one particular technique is better than others may not be appropriate. It may be true for one characteristic by considering different set of inputs and dataset but may not be true for the same with different inputs. The intension in the proposed work is to give a score for each metric proposed by the researchers based on the selected parameters, but certainly not to criticize any research contribution by authors. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Complex system governance (CSG) is an emerging field focused on design, execution, and evolution of (meta)system functions that produce control, communications, coordination, and integration of a complex system. Ultimately, CSG explains system performance, prospects for continued system viability (existence), and future system sustainability. This paper explores three primary perspectives for CSG. First, following a brief introduction, a CSG overview is provided. Three underlying fields (systems theory, management cybernetics, and system governance), the derived model for CSG, and essential distinctions of CSG are developed. Second, the role and nature of CSG pathologies as aberrations from normal or healthy system conditions are developed. Pathologies are grounded in systems theory, and requisite variety is used to explain pathologies in complex system design, execution, or development impacting system performance. Third, challenges for balanced evolution of the CSG field are suggested. The paper concludes with suggestion for simultaneous development of science, engineering, and practice for CSG. [ABSTRACT FROM AUTHOR]

In this paper some new, conceptual ideas referred to as a complexity orientation are presented on the basis of systemic planning (SP), which has been developed as a proactive, multi-methodology approach for complex planning tasks. Specifically, the complexity orientation is compared to other systems science research orientations represented by the following labels: functionalist, interpretive, emancipatory and postmodern. After presentation and discussion of the research orientation framework, SP is compared to other current systems and management practice. Finally, the potential of a complexity orientation is treated more generally and also with a focus on its epistemological interpretation, which is carried out with a special emphasis on the work of Luhmann. General findings of the paper are that a complexity orientation ought to complement the other four research orientations to serve as a methodological platform for management practice and that Luhmann's theories ought to be addressed by the systems community as a potential for informing further development of systems science and thinking. Copyright © 2008 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Resilience plays a key role in desired outcomes of socio‐technical systems. However, the Functional Resonance Analysis Method (FRAM), which has been the main modeling tool in light of resilience engineering, does not make explicit the role of resilience. This paper addresses this gap by proposing new procedures for the development of FRAM models of desired outcomes. They are: (i) the active search for functions that display resilient performance; (ii) the assessment of the frequency at which the function output is expected to occur at the same way as it occurred in the desired outcome – frequent unwanted variabilities that occur despite desired outcomes tend to be hidden; (iii) understanding of the reasons for desired outcomes based on the analysis of the logical associations between each function, the abilities of resilient systems and guidelines for coping with complexity; and (iv) the proposal of recommendations for sustaining the observed successful performance. Two case studies of events with desired outcomes in an intensive care unit illustrate the applicability of the proposal. The proposal is expected to be useful for making systems more resilient to everyday work, in which vulnerabilities might be hidden by desired outcomes. [ABSTRACT FROM AUTHOR]

This is the second of a series of papers on the stages of critical systems practice. Critical systems practice is a multimethodology that seeks to employ the ideas developed in critical systems thinking to intervene in and improve complex real‐world problem situations. It has four stages—Explore (the problem situation), Produce (an intervention strategy), Intervene (flexibly) and Check (on progress)—called to mind as EPIC. The aim is to set out where thinking has reached on the best way to carry out each of these stages and to invite comment on what more needs doing. This second stage, Produce, is concerned with the design of an appropriate multimethodological intervention strategy based on the outcomes of Explore. The first pass through the Produce stage concludes when it becomes possible to set objectives for the intervention and to structure and schedule its delivery. [ABSTRACT FROM AUTHOR]