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Summary: The increasing demand for massaging networks that are stable and quick needs reevaluations of standard optical networking administration strategies. To improve the efficacy of optical networks by integrating machine learning (ML) approach for the best resource scheduling, this research presents an innovative dynamic block widow optimized random forest (DBWO‐RF) strategy. To implement the DBWO‐driven resource allocation method in accordance with the categorization and clustering findings, the RF method is incorporated with the software defined optical to achieve channel quality assessment after successfully clustering employs the RF approach to achieve channel quality assessment after successfully clustering traffic patterns using the fuzzy C‐means (FCM) algorithm. To lessen the likelihood of blocking, the fragmentation‐function‐fit (FFF) algorithm was provided and the findings indicate that this approach possesses a reduced blocking risk. Using multiple approaches to modulation for various channel quality, the suggested resource allocation system leverages the DBWO approach to distribute the necessary resources based on various "traffic flow (TF)" clustering findings. The examination's outcomes demonstrate that, compared to other techniques under various given load levels, the present study has a reduced blocking risk, a sufficient complexity degree and greater effectiveness in the utilization of spectrum resources. [ABSTRACT FROM AUTHOR]

AbstractGovernment, organizational, and professional society policies are part of the complex system that underpins and influences the education of health professionals. Despite their significant influence, these policies rarely receive attention in scholarship examining the processes and outcomes of current health profession education systems. Policy analysis is a field of research that examines how and why policies are developed, the assumptions underpinning policies, and policies’ effects. Given the potential value policy analysis can offer health professions education research, our manuscript aims to 1) describe policy analysis as a field of research that draws on multiple disciplines and methodologies, and 2) demonstrate and discuss what policy analysis research can contribute to health professions education by sharing examples of two studies and discussing their value. To explain how policy analysis can be applied in health professions education research, we describe four key steps and considerations for using policy analysis– (i) assemble your research team; (ii) develop the research questions; (iii) select the methodology for the policy analysis; and (iv) select methods for data collection and analysis. [ABSTRACT FROM AUTHOR]

Detecting intrusions in real-time within cloud networks presents a multifaceted challenge involving intricate processes such as feature representation, intrusion type classification and post-processing procedures. Distributed Intrusion Detection Systems (DIDSs) constitute a complex landscape characterized by diverse contextual nuances, distinct functional advantages and limitations specific to deployment scenarios. Despite these challenges, DIDS offers immense potential for addressing evolving intrusion detection challenges through tailored contextual adaptations and unique functional advantages. Moreover, exploring the limitations associated with different deployment contexts facilitates targeted improvements and refinements, unlocking new avenues for innovation in intrusion detection technologies. Notably, deep learning (DL) integrated with blockchain technology emerges as a superior approach in terms of security, while bioinspired models excel in Quality of Service (QoS). These models demonstrate higher accuracy across various network scenarios, underscoring their efficacy in intrusion detection. Additionally, edge-based models exhibit high accuracy and scalability with reduced delay, complexity and cost in real-time network environments. The fusion of these models holds promise for enhancing classification performance across diverse attack types, offering avenues for future research exploration. This text conducts a comprehensive comparison of performance metrics, including accuracy, response delay, computational complexity, scalability and deployment costs. The proposed Novel DIDS Rank (NDR) streamlines model selection by considering these metrics, enabling users to make well-informed decisions based on multiple performance aspects simultaneously. This unified ranking approach facilitates the identification of DIDS that achieves high accuracy and scalability while minimizing response delay, cost and complexity across varied deployment scenarios. [ABSTRACT FROM AUTHOR]

This paper proposes a Composition Piecewise Memory Polynomial (CPMP) digital predistortion model based on a Vector Switched (VS) behavioral model to address the challenges of severe nonlinearity and strong memory effects in wideband power amplifiers (PAs). To tackle this issue, two thresholds are calculated and used to segment the envelope values of the input signal according to the nonlinear distortion characteristics of the PA. In this approach, a Generalized Memory Polynomial (GMP) model is employed for the lower segment, a Memory Polynomial (MP) model is employed for the middle segment, and a higher-order GMP model is employed for the upper segment. By sharing the fundamental MP among the proposed segmented models and leveraging a design methodology that configures different cross terms, memory depths, and polynomial orders for each segment, this model achieves superior linearization performance while simultaneously reducing the computational complexity associated with model extraction. The experimental results demonstrate that the adjacent channel power ratio (ACPR) of the predistorted PA output signal using the proposed model improves from −36 dBc to −54 dBc, matching the performance of the GMP model. Furthermore, this performance is 0.5 dBc better than the Piecewise Dynamic Deviation Reduction (PDDR) and Decomposed Vector Rotation (DVR) models. Notably, the complexity of the proposed parameter extraction process is 28.8% of the DVR model, 21.79% of the GMP model, and 12.83% of the PDDR model. [ABSTRACT FROM AUTHOR]

Models used to explain phenomena are necessarily finer grained than the models used to measure them. In language study, the measures used to assess development (e.g., readability indices) rely on models of language that are too coarse grained to be interpreted in a linguistic framework and so do not participate in linguistic accounts of development. This study argues that the constructionist approaches provide a framework for the development of a practical and interpretable measure of developmental complexity because these approaches feature affordances from which a measurement model may be derived: they describe language knowledge as a comprehensive network of enumerable entities that do not require the imputation of external processes, are extensible to early child language, and hold that the drivers of language development are the learning and generalization of constructions. It is argued here that treating schematic constructions as the unit of language knowledge supports a complexity measure that can reflect developmental changes arising from the learning and productive generalization of these units. [ABSTRACT FROM AUTHOR]

In the past decade, various recommendations have been published to enhance the methodological rigor and publication standards in psychological science. However, adhering to these recommendations may have limited impact on the reproducibility of causal effects as long as psychological phenomena continue to be viewed as decomposable into separate and additive statistical structures of causal relationships. In this article, we show that (a) psychological phenomena are patterns emerging from nondecomposable and nonisolable complex processes that obey idiosyncratic nonlinear dynamics, (b) these processual features jeopardize the chances of standard reproducibility of statistical results, and (c) these features call on researchers to reconsider what can and should be reproduced, that is, the psychological processes per se, and the signatures of their complexity and dynamics. Accordingly, we argue for a greater consideration of process causality of psychological phenomena reflected by key properties of complex dynamical systems (CDSs). This implies developing and testing formal models of psychological dynamics, which can be implemented by computer simulation. The scope of the CDS paradigm and its convergences with other paradigms are discussed regarding the reproducibility issue. Ironically, the CDS approach could account for both reproducibility and nonreproducibility of the statistical effects usually sought in mainstream psychological science. [ABSTRACT FROM AUTHOR]

Purpose: The goal of the study is to provide guidelines for a simplified South African Value-Added Tax (VAT) Act. Motivation: The current VAT Act lacks logical structure and is therefore complex to teach, apply in practice and administer. The study on which this article reports investigated the structure of the VAT Act as an element of legal complexity. Design/Methodology/Approach: The research was conducted in two phases: a literature review, followed by semi-structured interviews. Main findings: Existing empirical studies confirm that the poor structure, layout and organisation of the VAT Act contribute to its complexity. In addition, research confirms that improvements to structure, layout and organisation enhance the readability of statutes. Interviewees agreed that the current incoherent structure of the VAT Act contributes to its complexity. The findings confirm that the complexity of the VAT Act raises compliance and administrative costs. Practical implications/Managerial impact: The literature review and interview findings contribute to the development of guidelines for a simplified South African VAT Act, which is the contribution of this study. The principles include adhering to a VAT vendor's lifecycle, grouping sections together, introducing headings and subheadings, using clear signposting, employing international benchmarks and seeking a solution that addresses local challenges most effectively. Novelty/Contribution: One recommendation that stands out is to completely rewrite the VAT Act. As a first step in this rewrite project, it is recommended that an index be developed using the guidelines. This is an initial step towards simplification of the South African VAT Act. [ABSTRACT FROM AUTHOR]

Background: Anecdotally, patients don't seem to be more unwell than they were 10 years ago, yet they still seem more 'complex'. Aims: The aim of this study was to use an objective measure to assess the trend in complexity of general medicine patients over a 9‐year period. Methods: Complexity was pragmatically defined as a composite of comorbidity plus dependence/frailty. We selected 100 consecutive patients discharged from General Medicine at Monash Medical Centre (a tertiary hospital in Melbourne, Australia) in the month of April of each year from 2011 to 2019. For each patient, we retrospectively calculated their burden of comorbidity and their degree of dependency/frailty. Comorbidity was measured using the Charlson Comorbidity Index (CCI), and dependence/frailty was assessed using the Katz Index of Independence in Activities of Daily Living (Katz ADL) and the Braden Scale (BS). The BS is a pressure injury risk assessment tool. Additional demographic data were collected, including length of stay, admission and discharge residence, 30‐day readmission rate and inpatient mortality. Results: There was no statistically significant change in the CCI or the Katz ADL. The median BS did however significantly decrease from 19 in 2011 to 16 in 2019 (P = 0.006), reflecting an increased risk of pressure injuries. Conclusions: Despite a stable level of comorbidity, our finding of a decreasing BS score may suggest that patients are becoming more dependent. This increase in dependency rather than a change in chronic disease burden may be the cause of apparent increasing patient complexity. [ABSTRACT FROM AUTHOR]

Critical thinking about the future needs to be at the centre of tourism planning scholarship. By using complexity theory as a framework to understand the shaping power of time, we review understandings about the future in tourism planning literature concerning three interrelated aspects: How the future is known in tourism planning, how the future has been planned in tourism, and what futures have been planned. Changing, diverse and mutually intertwined views of understanding time and approaching the future are identified and gathered into two interwoven bundles. In the first bundle, the future in tourism planning is singular, foreseeable, and technical, with strong linear and cause-effect assumptions. In the second grouping, as cause-effect assumptions are questioned, futures in tourism planning become multiple, nested, simultaneous and emerge from non-linear, relational, value-laden and time-dependent socio-political processes. A characterisation of singular time and multiple temporalities in tourism planning is presented, and their coexistence in the literature is acknowledged for its potential to stimulate ethical future-making through planning and tourism. [ABSTRACT FROM AUTHOR]

We revisit the seminal Brill–Noether algorithm for plane curves with ordinary singularities. Our new approach takes advantage of fast algorithms for polynomials and structured matrices. We design a new probabilistic algorithm of Las Vegas type that computes a Riemann–Roch space in expected sub-quadratic time. [ABSTRACT FROM AUTHOR]

The minimum linear ordering problem (MLOP) generalizes well-known combinatorial optimization problems such as minimum linear arrangement and minimum sum set cover. MLOP seeks to minimize an aggregated cost f (·) due to an ordering σ of the items (say [n]), i.e., min σ ∑ i ∈ [ n ] f (E i , σ) , where E i , σ is the set of items mapped by σ to indices [i]. Despite an extensive literature on MLOP variants and approximations for these, it was unclear whether the graphic matroid MLOP was NP-hard. We settle this question through non-trivial reductions from mininimum latency vertex cover and minimum sum vertex cover problems. We further propose a new combinatorial algorithm for approximating monotone submodular MLOP, using the theory of principal partitions. This is in contrast to the rounding algorithm by Iwata et al. (in: APPROX, 2012), using Lovász extension of submodular functions. We show a (2 - 1 + ℓ f 1 + | E |) -approximation for monotone submodular MLOP where ℓ f = f (E) max x ∈ E f ({ x }) satisfies 1 ≤ ℓ f ≤ | E | . Our theory provides new approximation bounds for special cases of the problem, in particular a (2 - 1 + r (E) 1 + | E |) -approximation for the matroid MLOP, where f = r is the rank function of a matroid. We further show that minimum latency vertex cover is 4 3 -approximable, by which we also lower bound the integrality gap of its natural LP relaxation, which might be of independent interest. [ABSTRACT FROM AUTHOR]

The positive outcomes associated with the Last Planner System (LPS) of production control are usually interpreted as stemming from the application of LPS-as-theorized in the seminal publications about this method. However, the use of LPS in real settings is subjected to contextual influences and involvement of actors with varying perspectives of what counts as an effective implementation. This suggests that LPS-as-theorized may not be the only valid and sufficient representation to explain its success. This paper investigates how the different representations of LPS contribute to its effectiveness and adaptation to local conditions. It is based on a case study on the implementation of LPS in a refurbishment project. Four representations are compared: LPS-as-theorized (literature based), LPS-as-prescribed (handbook based), LPS-as-disclosed (interviews based), and LPS-as-done, i.e., what happened in reality, according to different sources of evidence. Findings set the basis for proposing a model that frames LPS-as-done as an emergent phenomenon unique to each construction project. This new perspective contributes to the recognition of the role of informal practices, the development of more accurate assessments of LPS implementation, the analysis of trade-offs when using LPS, and the alignment of expectations on the adoption of LPS. Practical Applications: The outcomes of this investigation can help practitioners to identify and appreciate the complementary roles of different representations of the LPS, which are not limited to LPS-as-theorized described in seminal academic papers. The use of LPS in real settings depends on contextual factors and is therefore always unique to some extent. Giving visibility to diverse representations (e.g., LPS-as-prescribed in companies' handbooks, LPS-as-disclosed by managers) supports a more accurate and shared understanding of how LPS is implemented, making it possible to align expectations among project stakeholders. This analysis also sheds light on the need to fill the gaps in the formal planning system, setting the basis for revising procedures and training programs. Furthermore, the findings suggest that the assessment methods of LPS implementation should be based on different sources of data in order to account for the multiple representations. Overall, the results are likely to resonate with practitioners because these will recognize that they are not merely strictly following predefined procedures but rather playing an active role that demands expertise for adjusting theory into practice on an everyday basis. [ABSTRACT FROM AUTHOR]

This paper explores the interplay between capability and complexity within the context of military forces. The findings here describe how these two concepts intersect and highlight the capability definitions, themes, challenges, opportunities, and applications. By running a thorough review of 314 articles, 10 key research themes have been identified, including: 1) Capability Development and Assessment, 2) Regional Defence Studies, 3) Technological Advancements in Military, 4) Strategic Analysis, 5) Operational Tactics, 6) Defence Industry Dynamics, 7) Organisational and Management Aspects, 8) Cybersecurity and Network Capabilities, 9) Military Training and Exercises, and 10) Policy and Political Implications. Among these themes, the literature highlights the importance of a subtle understanding of capability and complexity for well-informed decision-making in military and defence domains. Moreover, this study identifies gaps in existing research and emphasises the need for a coherent theoretical framework to guide decision-makers for military capability acquisitions. The findings have implications for enhancing national security, defence capability planning and resource allocation strategies. [ABSTRACT FROM AUTHOR]

The article discusses the conceptual and methodological challenges surrounding complexity and difficulty in second language acquisition research. It highlights the distinction between complexity as structural properties of linguistic items and difficulty as cognitive costs associated with acquiring and using these items. The authors propose core measures for researchers to promote replicability and knowledge accumulation. The commentary also touches upon debates on complexity measurement, syntactic units of analysis, and the consideration of word meanings in analyzing complexity and difficulty. The article emphasizes the need for complementary measures at different levels of granularity and sensitivity to language-specific features. [Extracted from the article]

The article discusses the distinction between complexity and difficulty in second language acquisition, proposing to add new constructs to the existing complexity-accuracy-fluency (CAF) triad. The authors suggest incorporating difficulty and appropriateness into the framework, leading to the acronym CAFDA. Additionally, the article introduces the idea of extending the CAF paradigm to CAFIC, with "I" representing idiomaticity and "C" representing coherence, to encompass new measures related to conventionalized language use. The authors emphasize the need for clarity in defining key notions and the importance of developing precise delineations for the new constructs. [Extracted from the article]

The article "Optionality, Complexity, Difficulty: The Next Step" discusses the importance of considering variation and optionality in language learning, particularly in relation to complexity and difficulty. The authors highlight the distinction between complexity and difficulty, emphasizing the need to explore the relationship between these concepts in the context of optionality in learner language. They suggest that further research on the triad of optionality, complexity, and difficulty could enhance our understanding of second language acquisition. The article also references previous studies on grammatical alternations and language proficiency to support their arguments. [Extracted from the article]

The article "Is This (Becoming) a Theory of Second Language Acquisition?: A Commentary on 'Complexity and Difficulty in Second Language Acquisition: A Theoretical and Methodological Overview'" by Jonas Granfeldt from Lund University discusses the concepts of complexity and difficulty in second language acquisition research. The author argues that while focusing on difficulty may enhance the research agenda in second language acquisition, the concept itself may not be helpful. The article explores how complexity and difficulty relate to development and proficiency in language acquisition, highlighting the need for clear definitions and further research in this area. [Extracted from the article]

Drawing on insights from the United Kingdom [UK], this commentary highlights the complexity of the Olympic sport policy process and proposes a novel conceptual approach that situates people at the forefront of the analysis. Informed by process sociology, the approach demonstrates the importance of understanding complexity as the consequence of interdependent relationships that bind people together. Extracts from interviews undertaken with nine senior National Governing Body employees, who are responsible for implementing Olympic sport policy, are drawn on to inform and illuminate the proposed approach. Their extracts showcase that conversations and dialogue, often undertaken in the context of meetings, are central to the policy process. Managing emotions, navigating opacity, deep personal involvement and associated personal wellbeing impacts are all features of the Olympic sport policy process not readily accounted for in the extant literature or practice. The process, increasingly games like, never wholly represents the actions of any one group or individual as they navigate choices constrained by the interlacing of many relationships over time. We therefore conclude that it may be conceptually better to now describe the organisation of Olympic sport in the UK as a figuration of people rather than as a “system”. [ABSTRACT FROM AUTHOR]

Background: The World Health Organization Astana Declaration of 2018 sees primary healthcare as key to universal health coverage and gives further support to the goal of building sustainable models of community palliative care. Yet evaluating the benefits of such models continues to pose methodological and conceptual challenges. Objective: To explore evaluation issues associated with a community-based palliative care approach in Kerala, India. Design: An illuminative case study using a rapid evaluation methodology. Methodology: Qualitative interviews, documentary analysis and observations of home care and community organising. Results: We appraise a community palliative care programme in Kerala, India, using three linked 'canvases' of enquiry: (1) 'complex' multi-factorial community-based interventions and implications for evaluation; (2) 'axiological' orientations that foreground values in any evaluation process and (3) the status of evaluative evidence in postcolonial contexts. Three values underpinning the care process were significant: heterogeneity, voice and decentralisation. We identify 'objects of interest' related to first-, second- and third-order outcomes: (1) individuals and organisations; (2) unintended targets outside the core domain and (3) indirect, distal effects within and outside the domain. Conclusion: We show how evaluation of palliative care in complex community circumstances can be successfully accomplished when attending to the significance of community care values. Plain language summary: Where are the values in evaluating palliative care? Learning from community-based palliative care provision The evaluation of any intervention or service will inevitably involve a series of decisions on what we measure, what criteria we use to judge whether the intervention has been successful (or not), what type of data we actually collect and what methods we use to do this. When evaluating a range of palliative care interventions, we suggest that these decisions have often been taken in a concealed way and tend to favour relatively narrow quantitative measures linked to end outcomes. Our paper reports on the evaluation of a community-based palliative care intervention on Kerala, India. In it, we suggest that such complex work requires a broader approach to evaluation that: makes the values being used to assess success explicit; draws on a range of data types; is interested in delivery processes; and places the voices of participants at the heart of the assessment. The paper concludes with some broader observations on how these principles might be applied more widely within palliative care. [ABSTRACT FROM AUTHOR]

Prior work suggests when instrumental goals are salient, linguistic complexity associates with positive behavioral outcomes compared to linguistic simplicity. The current work tested this idea using descriptions from over 1,000 online realty advertisements to associate with housing prices. The evidence suggested linguistic complexity (e.g., fewer common words, more analytic writing, and less readable writing) indeed associated with higher housing prices. These data explicated the contingent-on-effort hypothesis : linguistic complexity is favored when people value effort in a particular setting. [ABSTRACT FROM AUTHOR]

Theory-based evaluation has undergone changes over time, adapting to challenges and aligning with trends that emphasise increased participation and complexity. However, integrating both high participation and complexity in programme theory does not consistently lead to productive outcomes in intricate systems. This article introduces contingency-oriented questions to assess the appropriate balance of complexity and participation in theory-based evaluation. Using a case study focused on the Accelerating Achievement for Adolescents Hub, a Global Challenges Research Fund initiative, we demonstrate the practical application of these questions. Our analysis highlights why efforts to elaborate a more complex programme theory were unsuccessful and explains the rationale behind concluding the project with a theory characterised by more moderate complexity and participation. [ABSTRACT FROM AUTHOR]

This article reflects on the complexity of co-generative learning processes between a university and regional actors, drawing on the author's experience facilitating an action research course. The course engages students in collaborating with regional practitioners on real-life territorial development challenges. Through glimpses into the co-generation process from student exam papers, the article highlights the challenges students face in navigating ambiguity and complexity when exposed to real-life territorial issues. Concepts such as regional complexity, Bildung, interiority, and democratic dialogue are used to analyze how structured reflection and facilitation through participation with regional actors can enhance students' critical capacities for reflection and action. The main theoretical contribution is extending the concept of co-generative learning of Morten Levin and action research for territorial development by integrating students as reflective, facilitative actors in educational and regional development processes. Action research for territorial development provides a framework for accompanying the social transformations needed to address complex challenges. The article shows that by engaging in real-life issues through participatory, reflective processes, students develop crucial skills for facilitating collective territorial development efforts. Despite limitations related to geographic context and the course structure, the insights gained offer valuable implications for applying Levin's legacy in other contexts. [ABSTRACT FROM AUTHOR]

This paper investigates the intersection of cognitive sciences and social network theory and its counterpart, the complexity sciences, aiming to shed light on the compatibility and potential integration of these frameworks into institutional theory. Institutional scholars have for long selectively adopted notions linked with the cognitive sciences and complexity sciences, such as the notion of path dependence, without exploring the broader implications of systematically integrating such perspectives into institutionalism. This paper aims to advance such a comprehensive theoretical integration, by investigating the effective combination of these approaches and their significant implications. It shows how the complexity sciences contribute to dissolving the barriers between the cognitive and social realms and illustrates how this impacts notions of human agency and reflexivity. Theoretical integration also involves acknowledging considerable diversity in individual human agency, which in turn prompts a reconsideration of how notions of institutional stability, change, diffusion and adaptation are understood. Furthermore, the paper addresses the epistemological challenge presented by the complexity sciences, before it highlights the general relevance of institutional theory in analyzing complex social phenomena. Finally, the paper explores implications for research methodology, proposing that a fusion of institutional theory and the complexity sciences provides a metatheoretical framework for assessing the contextual suitability of different theoretical and methodological approaches. [ABSTRACT FROM AUTHOR]

Jump dynamics in financial markets exhibit significant complexity, often resulting in increased probabilities of subsequent jumps, akin to earthquake aftershocks. This study aims to understand these complexities within a multifractal framework. To do this, we employed the high-frequency intraday data from six major cryptocurrencies (Bitcoin, Ethereum, Litecoin, Dashcoin, EOS, and Ripple) and six major forex markets (Euro, British pound, Canadian dollar, Australian dollar, Swiss franc, and Japanese yen) between 4 August 2019 and 4 October 2023, at 5 min intervals. We began by extracting daily jumps from realized volatility using a MinRV-based approach and then applying Multifractal Detrended Fluctuation Analysis (MFDFA) to those jumps to explore their multifractal characteristics. The results of the MFDFA—especially the fluctuation function, the varying Hurst exponent, and the Renyi exponent—confirm that all of these jump series exhibit significant multifractal properties. However, the range of the Hurst exponent values indicates that Dashcoin has the highest and Litecoin has the lowest multifractal strength. Moreover, all of the jump series show significant persistent behavior and a positive autocorrelation, indicating a higher probability of a positive/negative jump being followed by another positive/negative jump. Additionally, the findings of rolling-window MFDFA with a window length of 250 days reveal persistent behavior most of the time. These findings are useful for market participants, investors, and policymakers in developing portfolio diversification strategies and making important investment decisions, and they could enhance market efficiency and stability. [ABSTRACT FROM AUTHOR]

This paper presents three novel encryption and decryption schemes based on graph theory that aim to improve security and error resistance in communication networks. The novelty of this work lies in the application of complete bipartite graphs in two of the schemes and the Cartesian product of graphs in the third, representing a unique approach to cryptographic algorithm development. Unlike traditional cryptographic methods, these graph-based schemes use structural properties of graphs to achieve robust encryption, providing greater resistance to attacks and corruption. Each scheme is illustrated with detailed examples that show how the algorithms can be successfully implemented. The algorithms are written in standard mathematical notation, making them adaptable for machine implementation and scalable for real-world use. The schemes are also rigorously analyzed and compared in terms of their temporal and spatial complexities, using Big O notation. This comprehensive evaluation focuses on their effectiveness, providing valuable insights into their potential for secure communication in modern networks. [ABSTRACT FROM AUTHOR]

Premise: Cladoxylopsids, one of the first lineages with complex organization to rise from the plexus of structurally simple plants that comprised the earliest euphyllophyte floras, are moniliformopsid euphyllophytes. They formed Earth's earliest forests by the Middle Devonian and are thought to have given rise to the equisetopsids and probably some fern lineages. The Lower Devonian (Emsian) Battery Point Formation (Quebec, Canada) contains previously unrecognized cladoxylopsids preserved anatomically. One of these provides new data on structural evolution among euphyllophytes and is described here. Methods: The anatomy and morphology of permineralized axes of the new plant were studied with light and electron microscopy on sections produced using the cellulose acetate peel technique. Morphological comparisons and phylogenetic analysis were used for taxonomic placement of the plant. Results: The plant represents a new species, Paracladoxylon kespekianum Chu et Tomescu, gen. et sp. nov., that has tracheids with modern‐looking bordered pits and the complex cauline vascular architecture characteristic of the genus Cladoxylon. Its dissected ultimate appendages have complex regular taxis and a pattern of vascularization that suggests bilateral symmetry. Conclusions: Paracladoxylon kespekianum is one of the largest Early Devonian euphyllophytes, among the oldest representatives of the cladoxylopsid group, and older than any species of the closely related Cladoxylon by at least 35 million years. It is also one of the oldest anatomically preserved representatives of the cladoxylopsid group. Its anatomical organization pushes the rise of complex vascular architecture among moniliformopsid euphyllophytes deeper in time than previously recognized. [ABSTRACT FROM AUTHOR]

This paper reports fractal patterns identified in the complex musical composition DIAPHONIES by Michael Paouris via power-law fractal analysis with sliding-windows of size 1024. From 7,647,232 analysed musical segments of DIAPHONIES, 3,222,832 (42.4%) are fractional Brownian motion (fBm) fractal segments and 4,424,400 (57.6%) are fractional Gaussian noise (fGn) stochastic ones. From the fBm fractal segments 295,294 (9.1%) exhibit strong persistency-P with power-law segments in the range of 2.3 ≤ b ≤ 3 . These are the very strong fractal areas in DIAPHONIES. Numerous segments with strong antipersistency 1.7 ≤ b < 2 are reported together with segments with AP changes ( 1.7 ≤ b < 2.3 ). In DIAPHONIES continuous fractal fBm areas are dipped in non-fractal fGn areas of deterministic music. The results are within the fBm fractal areas reported in existing papers. Very importantly, the simple composition called Nocturnal-Angel by Michael Paouris, exhibited limited fBm areas of average b ¯ = 1.98 ( σ = 0.3 ), namely of pure statistical, deterministic music, while simultaneously, the fractal analysis profile was completely different from the profiles of DIAPHONIES, hence reinforcing, the fractal findings of DIAPHONIES in relation to trivial music harmony. [ABSTRACT FROM AUTHOR]

Widespread interest in nondestructive biomarkers of aging has led to a multitude of biological ages that each proffers a "true" health-adjusted individual age. Although each measure provides salient information on the aging process, they are each univariate, in contrast to the "hallmark" and "pillar" theories of aging, which are explicitly multidimensional, multicausal, and multiscale. Fortunately, multiple biological ages can be systematically combined into a multidimensional network representation. The interaction network between these biological ages permits analysis of the multidimensional effects of aging, as well as quantification of causal influences during both natural aging and, potentially, after anti-aging intervention. The behavior of the system as a whole can then be explored using dynamical network stability analysis, which identifies new, efficient biomarkers that quantify long-term resilience scores on the timescale between measurements (years). We demonstrate this approach using a set of 8 biological ages from the longitudinal Swedish Adoption/Twin Study of Aging (SATSA). After extracting an interaction network between these biological ages, we observed that physiological age, a proxy for cardiometabolic health, serves as a central node in the network, implicating it as a key vulnerability for slow, age-related decline. We furthermore show that while the system as a whole is stable, there is a weakly stable direction along which recovery is slow—on the timescale of a human lifespan. This slow direction provides an aging biomarker, which correlates strongly with chronological age and predicts longitudinal decline in health—suggesting that it estimates an important driver of age-related changes. [ABSTRACT FROM AUTHOR]

This paper presents a critical analysis of the literature and perspective research ideas for modeling the epidemics caused by the SARS-CoV-2 virus. It goes beyond deterministic population dynamics to consider several key complexity features of the system under consideration. In particular, the multiscale features of the dynamics from contagion to the subsequent dynamics of competition between the immune system and the proliferating virus. Other topics addressed in this work include the propagation of epidemics in a territory, taking into account local transportation networks, the heterogeneity of the population and the study of social and economic problems in populations involved in the spread of epidemics. The overall content aims to show how new mathematical tools can be developed to address the above topics and how mathematical models and simulations can contribute to the decision making of crisis managers. [ABSTRACT FROM AUTHOR]

Study Aims: Despite being mentioned in well‐known models of psychotherapeutic change, the concept of extra‐therapeutic factors seems to have left the scene across time, eaten away by the progressive refinement of the construct of common factors. Aim of the present study is to better understanding the historical evolution of the concept of extra‐therapeutic factors and its importance for psychotherapy today. Methods: This is a position paper based on a literature review on extra‐therapeutic factors and psychotherapy outcome and process. Discussion: There is growing evidence of the decisive role of clients' and therapists' characteristics, as well as of the importance of therapeutic alliances and relationships in promoting change. Within this context, the concept of extra‐therapeutic factors still deserves proper attention, rather than being relegated to a residual and vanishing category. Conclusion: A renewed interest on extra‐therapeutic factors could reinvigorate the debate over the relationship between psychotherapy and life contexts and conditions. In terms of complexity and systems thinking nothing, a priori, really falls outside the realm of psychotherapy and, in turn, psychotherapy is not a practice that could be abstracted from the context in which it is practiced or from clients' and therapists' lives. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to define a subset of complex rTKA in terms of preoperative, intraoperative, and postoperative outcomes and complications. The secondary outcome of the authors is to propose a simple and easy-to-use guide for clinical network in rTKA management. Methods: Complex rTKAs were defined according to the presence of at least two of the following features: periprosthetic joint infection, re- revision, femoral and/or tibial massive bone defects, soft tissue impairment, stiffness, fracture requiring fixed component revision. Results: Twenty-six patients underwent a standard rTKA (group A) while 24 had a complex rTKA (group B). The mean follow-up was 50.2 ± 16.4 months in group A and 49.5 ± 16.8 in group B (p = 0.44). The operative time was longer in group B (200.4 ± 131.4 min vs 110.2 ± 59.8 min). A greater intraoperative total blood loss (3014.2 ± 740.0 vs 2328.5 ± 620.6 ml, p < 0.001), intra and postoperative blood infusion (3.6 ± 1.2 vs 2.1 ± 1.2 units, p < 0.001) was reported in group B. Significant difference was obtained for global complication rate (11.5% group A vs 37.5% group B, p = 0.04), reoperation (7.7% group A vs 33.3% group B, p = p = 0.03) and re-revision (3.8% group A vs 25% group B, p = p = 0.04). Conclusion: This study describes a specific entity of rTKA that require higher surgical effort and increased surgical challenge (measured as increased surgical time, need of transfusions and complications). The proposed classification could provide an easy-to-use tool for quick grading of complexity in rTKA. [ABSTRACT FROM AUTHOR]

Purpose: Undergraduate medical education (UGME) has to prepare students to do safety-critical work (notably, to prescribe) immediately after qualifying. Despite hospitals depending on them, medical graduates consistently report feeling unprepared to prescribe and they sometimes harm patients. Research clarifying how to prepare students better could improve healthcare safety. Our aim was to explore how students experienced preparing for one of their commonest prescribing tasks: intravenous fluid therapy (IVFT). Methods: Complexity assumptions guided the research, which used a qualitative methodology oriented towards hermeneutic phenomenology. The study design was an uncontrolled and unplanned complex intervention: judicial review of the iatrogenic death of five children due to hyponatraemia in our region had resulted in the recommendation that students' education in 'the implementation of important clinical guidelines' relevant to fluid and electrolyte balance should be intensified. An opportunity sample of 40 final-year medical students drew and gave audio-recorded commentaries on rich pictures. We completed two template analyses: one of participants' transcribed commentaries on the pictures and one using a novel heuristic to analyse the pictures themselves. We then reconciled the two analyses into a single template. Results: There were four themes: affects, teaching and learning, contradictions, and the curriculum as a journey. To explore interconnections between themes, we chose the picture best exemplifying each of the four themes and interpreted the curriculum journey depicted in each of them. These interpretations were grounded in each participant's picture, verbal account of the picture, and the aggregate findings of the template analysis. Participants' experiences were influenced by the situated complexity of IVFT. Layered on top of that, contradictions, overlaps, and gaps within the curriculum introduced extraneous complexity. Confusion and apprehension resulted. Conclusions: After spending five years preparing to prescribe IVFT, participants felt unprepared to do so. We conclude that intensive teaching had not achieved its avowed goal of improving students' preparedness for safe practice. Merton's seminal work on the 'unanticipated consequences of purposive social action' suggests that intensive teaching may even have contributed to their unpreparedness. [ABSTRACT FROM AUTHOR]

Background: The handstand is an essential skill in acrobatic sports. This skill requires the athlete to maintain an inverted upright stance with only the hands supported, which requires a great effort of muscular coordination and motor control. Several factors influence the ability to control the posture, including fatigue, which is a bit studied constraint of handstand performance. Research question: With the aim to find out whether variability in movement control can be an indicator of fatigue, the present study was carried out. Method: Fourteen male acrobatic gymnasts were required to perform handstands. The time series for analyzing variability were capturing using Force Platforms, which is a traditional laboratory instrument, and Inertial Measurement Units (IMU), which is a more recent and less widely used, but more accessible tool. For this purpose, an analysis of the amount of variability was carried out, using the standard deviation. And analysis of the structure of variability (or complexity), using Detrended Fluctuation Analysis (DFA) and Fuzzy Entropy (FuEn). Results: Our results reveal that fatigue causes significant increases in the amount of variability in the medio-lateral axis on the force platform, and in the IMU located in the area of the L5 vertebra. These changes are accompanied by increased auto-correlation in the medio-lateral axis of the force platform, and more unpredictable behavior in the L5 IMU. Key points: Amount of variability can discriminate between non-fatigued and fatigued states in force platform. Structure of variability can discriminate between non-fatigued and fatigued states in force platform. Movements are most affected in the medio-lateral axis. Forces produced to maintain balance exhibit smoother adjustments in fatigue state. Acceleration in the L5 tends to be less predictable in fatigue state. [ABSTRACT FROM AUTHOR]

Background: Both the causes and consequences of childhood obesity can be complex. To provide healthcare that is suitably tailored to the specific needs of children with obesity integrated care is required. The objective of this study was to explore the perceived barriers and facilitators of healthcare professionals (HCPs) in providing integrated care for children with obesity, to support them in tailoring the healthcare approach. Methods: In this qualitative study, semi-structured in-depth interviews were conducted with 18 healthcare professionals with experience in childhood obesity care; pediatricians, youth healthcare nurses and a youth healthcare physician. A two-phased thematic content analysis was performed: an inductive analysis with open and selective coding and a deductive analysis with axial coding using the patient-centered care model by Stewart. Results: Overall, the healthcare professionals defined the etiology of obesity as complex, and experienced the integrated care as complicated. The results fit into the four theme-structure of the patient-centered care model, with the integrated care system as an additional fifth theme. The main barriers were perceived within the sub-themes of illness and healthcare experiences, and sensitivity over talking about weight-related issues. The main facilitators were perceived within the sub-themes of conducting a biomedical, psychosocial and lifestyle assessment, tailoring the approach to families' situation and investing in a family-professional relationship. Weight stigma appeared to be an underlying barrier for healthcare professionals that impacted, both explicitly and implicitly, upon all themes. Conclusions: Healthcare professionals providing integrated care for children with obesity, experience this type of care as complicated and comprising many barriers and facilitators regarding the four themes of the patient-centered care model and the fifth theme of the integrated care system. This paper demonstrates the patient-centered care model could prove helpful structuring a tailored approach within integrated care. This approach supports healthcare professionals in adopting a broad perspective towards individual and environmental factors and investing in the relationship, with respect to the sensitivity and complexity of childhood obesity. [ABSTRACT FROM AUTHOR]

The extent to which archery technology affected social organization in the Andes region of South America remains understudied. To identify the timing and consequences of archery technology in the Lake Titicaca Basin, this analysis examines metric data from 1179 projectile points from the region, 11–1.0 cal. ka. We find that the greatest decrease in projectile point size occurred across the Late/Terminal Archaic and Formative/Tiwanaku period boundaries, 5.0 and 1.5 cal. ka, respectively. We do not find a statistically significant decrease in size during any other transition, including the Terminal Archaic/Formative boundary, which was previously hypothesized to have been the time when archery technology first appeared in the region. These results instead favor the hypothesis that archery technology first entered the region during the Terminal Archaic Period, 5.0–3.5 cal ka. We furthermore observe that this technological transition coincided with the growth of settlements, a surge in the use of exotic goods such as obsidian, a low level of inter-group violence, and incipient agropastoralism—a pattern that intensified during the subsequent Formative period when monumental ceremonial centers emerged. These findings lead us to propose a model for South American archery technology in which its appearance after 5000 years ago contributed to the emergence of new cooperative dynamics that expanded regional exchange networks and community aggregation. [ABSTRACT FROM AUTHOR]

Given a digraph and a subset of vertices representing initial positions, we study the existence problem of infinitely long walks, one starting from each initial position, that never meet. We show that the subsets for which this is possible constitute the independent sets of a matroid. We prove that the independence oracle is polynomial-time. We also provide a more efficient algorithm to compute the size of a basis. Then we focus on the orientation problem of the undirected edges of a mixed graph to either maximize or minimize the rank of a subset. Some NP-hardness results and inapproximability results are proved in the general case. Polynomial-time algorithms are described for subsets of size 1. We also report several connections with other matroid classes. For example, we show that the class of no-meet matroids strictly contains transversal matroids while it is strictly contained inside gammoids. Some extensions and related applications are also discussed. [ABSTRACT FROM AUTHOR]

We show how to solve a maximum clique problem on a given graph by an equivalent problem on an auxiliary graph. The transformation has interesting consequences in the bilevel setting. In fact, it allows to map a clique interdiction problem with edge interdiction into a clique interdiction problem with node interdiction. As a byproduct of the mapping, we can generalize to the edge interdiction problem complexity and algorithmic results that hold for the node interdiction problem. [ABSTRACT FROM AUTHOR]

The development process of a system is shaped by numerous variables that influence its progress and outcome. As a result, complexity can increase throughout the development process, potentially leading to negative consequences, which makes the management of complexity critical. Most development processes begin with the definition of needs and requirements. In this paper, the authors present a novel approach that enables the automated extraction of structure from requirements specifications. The approach uses Natural Language Processing to elicit three structural layers from a set of requirements, which are subsequently analyzed using metrics to assess complexity. In a case study, the approach is demonstrated using a set of 79 requirements, within which 246 individual entities are identified. These entities and the requirements are structured and analyzed using network density and spectral entropy. The metrics allow for interpretation and insight generation, such as identifying an increase in the number of potentially problematic loops. The approach achieved a detection and structural accuracy of over 98% in the given case study and is planned to be expanded with future cases. [ABSTRACT FROM AUTHOR]

In Colombia, the long-lasting internal conflict heavily shaped the socio-ecological context and imposed relationships that persisted after the peace agreement was signed in 2016. One question of interest is whether policies or interventions conceived to attain desirable goals for the post-conflict society may be effective or, rather, if the constraints imposed by the conflict scenario might produce unintended effects, either on the environmental or the social side. To explore this issue, we envisaged the socio-ecological system as a parsimonious set of characteristic ecological and social variables within the conflict-related framework and reconstructed their interactions, exploiting elicitation-based information and the literature. We visualized the resulting interactive networks as signed digraphs. Applying the qualitative technique of loop analysis combined with numerical simulations, we predicted the response of the system to policies as drivers of change, such as subsidized credit to capital-intensive activities or policies that increase small farming competitiveness and access to markets. Highlighting causal linkages reveals that the persistence of conflict factors may produce unexpected interdependencies between licit and illicit activities and that, only in a few cases, the persistence of these mechanisms allows synergies between desirable goals. This article is part of the theme issue 'Connected interactions: enriching food web research by spatial and social interactions'. [ABSTRACT FROM AUTHOR]

In Colombia, the long-lasting internal conflict heavily shaped the socio-ecological context and imposed relationships that persisted after the peace agreement was signed in 2016. One question of interest is whether policies or interventions conceived to attain desirable goals for the post-conflict society may be effective or, rather, if the constraints imposed by the conflict scenario might produce unintended effects, either on the environmental or the social side. To explore this issue, we envisaged the socio-ecological system as a parsimonious set of characteristic ecological and social variables within the conflict-related framework and reconstructed their interactions, exploiting elicitation-based information and the literature. We visualized the resulting interactive networks as signed digraphs. Applying the qualitative technique of loop analysis combined with numerical simulations, we predicted the response of the system to policies as drivers of change, such as subsidized credit to capital-intensive activities or policies that increase small farming competitiveness and access to markets. Highlighting causal linkages reveals that the persistence of conflict factors may produce unexpected interdependencies between licit and illicit activities and that, only in a few cases, the persistence of these mechanisms allows synergies between desirable goals. This article is part of the theme issue 'Connected interactions: enriching food web research by spatial and social interactions'. [ABSTRACT FROM AUTHOR]

Background: Much remains unknown about how complex community-based programmes can successfully achieve long-term impact. More insight is needed to understand the key mechanisms through which these programmes work. Therefore, we conducted an in-depth study in five communities that implemented the Healthy Youth, Healthy Future (JOGG) approach, a Dutch community-based obesity prevention programme. We aimed to identify perceived outcomes and long-term impacts among local stakeholders and explore potential causal pathways and working mechanisms. Methods: We used ripple effects mapping (REM), a qualitative participatory method to map outcomes and identify causal pathways, in five communities. We involved 26 stakeholders, professionals and policy-makers affiliated with the local JOGG approach, spread over eight REM sessions and conducted individual interviews with 24 additional stakeholders. To uncover working mechanisms, we compared outcomes and causal pathways across communities. Results: Over 5–9 years of implementation, participants perceived that JOGG had improved ownership of local stakeholders, health policies, intersectoral collaboration and social norms towards promoting healthy lifestyles. Causal pathways comprised small initial outcomes that created the preconditions to enable the achievement of long-term impact. Although exact JOGG actions varied widely between communities, we identified five common working mechanisms through which the JOGG approach contributed to causal pathways: (1) creating a positive connotation with JOGG, (2) mobilizing stakeholders to participate in the JOGG approach, (3) facilitating projects to promote knowledge and awareness among stakeholders while creating successful experiences with promoting healthy lifestyles, (4) connecting stakeholders, thereby stimulating intersectoral collaboration and (5) sharing stakeholder successes that promote healthy lifestyles, which gradually created a social norm of participation. Conclusions: The JOGG approach seems to work through activating initial stakeholder participation and bolstering the process towards ownership, policy change, and intersectoral collaboration to promote healthy lifestyles. Key working mechanisms can inform further development of JOGG as well as other complex community-based prevention programmes. [ABSTRACT FROM AUTHOR]

Connecting the critical realist morphogenetic model to insights made by Nicholas Rescher, this paper argues that our predictions are always subject to chance and contingency but nevertheless ineluctably useful for both practical and scientific inquiry. Contingency results from the causal openness of the world, including the causal openness of our own decision‐making. On the other hand, as Rescher notes, human interaction would fail without a degree of stability, which makes the predictions of morphostatic relations if not lawlike at least predictable in a practical sense. Nor is it just habit that makes for morphostasis. Human agents strive reflectively to produce in morphostatic ways the human goods they have created by their interaction. And beyond individual actors, there is, from the critical realist point of view, the combined effects of structure and culture inclining at least in the short‐term to reliably predictable if not lawlike outcomes. With that background, the paper reflects on the dual role of coincidence in social theory, on the one hand signalling contingency and the other on what, according to the active causal mechanisms, generally co‐occur. [ABSTRACT FROM AUTHOR]

Background: 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. Aims: 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. Methods & Procedures: 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. Outcomes & Results: 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. Conclusions & Implications: 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. What this paper adds: What is already known on the subject: 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. What this paper adds to existing knowledge: 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. What are the potential or actual clinical implications of this work?: 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]

New approaches for managing agricultural and forestry systems are needed to bring back inputs to levels that are within planetary boundaries and make greater and better use of ecosystem services based on biodiversity. A new scientific framework informed by ecology, agronomy, forestry, and agroforestry is key to designing resilient plant‐based ecosystems to meet this challenge. Integrating information on plant functional traits, ontogenetic development stages, site characteristics, and structural stand characteristics can unleash the power of diversity (in species traits and structural and temporal arrangements) as a crucial factor for sustaining environmental services in times of global change. To leverage the benefits of diversity, a general theoretical framework and scalable simulation models are needed to understand structural and species diversification effects and interactions at multiple levels, from plant to field/forest stand to landscape. By working across established research boundaries, the scientific community can harness the power of structural and functional diversity to develop resilient, production‐oriented ecosystems. With this integrative approach, our objectives are as follows: (i) to conceptualize processes and methodologies for managing resilient terrestrial ecosystems that can guarantee sustainable and diversified ecosystem services within planetary boundaries, and (ii) to outline the workflow for crafting a system capable of sustaining human well‐being amid space, resource, and energy constraints. [ABSTRACT FROM AUTHOR]

The study investigates the nonlinear contagion, tail dependence, and Granger causality relations with TAR-TR-GARCH–copula causality methods for daily Bitcoin, Fintech, energy consumption, and CO2 emissions in addition to examining these series for entropy, long-range dependence, fractionality, complexity, chaos, and nonlinearity with a dataset spanning from 25 June 2012 to 22 June 2024. Empirical results from Shannon, Rényi, and Tsallis entropy measures; Kolmogorov–Sinai complexity; Hurst–Mandelbrot and Lo's R/S tests; and Phillips' and Geweke and Porter-Hudak's fractionality tests confirm the presence of entropy, complexity, fractionality, and long-range dependence. Further, the largest Lyapunov exponents and Hurst exponents confirm chaos across all series. The BDS test confirms nonlinearity, and ARCH-type heteroskedasticity test results support the basis for the use of novel TAR-TR-GARCH–copula causality. The model estimation results indicate moderate to strong levels of positive and asymmetric tail dependence and contagion under distinct regimes. The novel method captures nonlinear causality dynamics from Bitcoin and Fintech to energy consumption and CO2 emissions as well as causality from energy consumption to CO2 emissions and bidirectional feedback between Bitcoin and Fintech. These findings underscore the need to take the chaotic and complex dynamics seriously in policy and decision formulation and the necessity of eco-friendly technologies for Bitcoin and Fintech. [ABSTRACT FROM AUTHOR]

Assembly Theory provides a promising framework to explain the complexity of systems such as molecular structures and the origins of life, with broad applicability across various disciplines. In this study, we explore and consolidate different aspects of Assembly Theory by introducing a simplified Toy Model to simulate the autocatalytic formation of complex structures. This model abstracts the molecular formation process, focusing on the probabilistic control of catalysis rather than the intricate interactions found in organic chemistry. We establish a connection between probabilistic catalysis events and key principles of Assembly Theory, particularly the probability of a possible construction path in the formation of a complex object, and examine how the assembly of complex objects is impacted by the presence of autocatalysis. Our findings suggest that this presence of autocatalysis tends to favor longer consecutive construction sequences in environments with a low probability of catalysis, while this bias diminishes in environments with higher catalysis probabilities, highlighting the significant influence of environmental factors on the assembly of complex structures. [ABSTRACT FROM AUTHOR]

Complexity management in manufacturing systems is crucial for the economic growth of countries, as efficient management can significantly improve business performance and ensure competitiveness in globalized markets. This research aims to develop a complexity management configurator that identifies critical effects, proposes solution strategies, and optimizes processes through a Lean Production and Industry 4.0 approach. To this end, its systematic design integrates the key stages of management: planning, organization, management and control. The research was structured as an applied study, implementing three main panels: general information, application of a diagnostic tool at each stage of the administrative process, and results focused on measuring the complexity and implementation of advanced technological solutions. The tool enables manufacturing companies not only to diagnose sources of complexity, but also to optimize their operations by adopting Lean methodologies and Industry 4.0 technologies. The findings show how the integration of these strategies contributes to reducing both static and dynamic complexity, resulting in greater operational efficiency and improved performance in an increasingly competitive industrial environment. In conclusion, the proposed configurator is positioned as a key tool to improve the competitiveness and sustainability of manufacturing companies by offering a comprehensive approach to complexity management that is tailored to the demands of modern industry. [ABSTRACT FROM AUTHOR]

In recent decades, the field of statistical linguistics has made significant strides, which have been fueled by the availability of data. Leveraging Twitter data, this paper explores the English and Spanish languages, investigating their rank diversity across different scales: temporal intervals (ranging from 3 to 96 h), spatial radii (spanning 3 km to over 3000 km), and grammatical word ngrams (ranging from 1-grams to 5-grams). The analysis focuses on word ngrams, examining a time period of 1 year (2014) and eight different countries. Our findings highlight the relevance of all three scales with the most substantial changes observed at the grammatical level. Specifically, at the monogram level, rank diversity curves exhibit remarkable similarity across languages, countries, and temporal or spatial scales. However, as the grammatical scale expands, variations in rank diversity become more pronounced and influenced by temporal, spatial, linguistic, and national factors. Additionally, we investigate the statistical characteristics of Twitter-specific tokens, including emojis, hashtags, and user mentions, revealing a sigmoid pattern in their rank diversity function. These insights contribute to quantifying universal language statistics while also identifying potential sources of variation. [ABSTRACT FROM AUTHOR]

In our modern societies, a certain number of people do not own a car, by choice or by obligation. For some trips, there is no or few alternatives to the car. One way to make these trips possible for these people is to be transported by others who have already planned their trips. We propose to model this problem using as path-finding problem in a list edge-colored graph. This problem is a generalization of the s − t -path problem, studied by Böhmová et al. We consider two optimization functions: minimizing the number of color changes and minimizing the number of colors. We study for the previous problems, the classic complexity (polynomial-case, NP-completeness, hardness of approximation) and parameter complexity (W[2]-hardness) even in restricted cases. We also propose a lower bound for exact algorithm. On the positive side we provide a polynomial-time approximation algorithm and a FPT algorithm. [ABSTRACT FROM AUTHOR]

The human development paradigm like many other development policy domains, old and new, is being challenged by a fundamentally new context that has been described by many as a VUCA world meaning Volatile, Uncertain, Complex, and Ambiguous. These factors are of course not independent of each other, but interactive, thus making for a very difficult environment in which public policy must be made. The Human Development Report (HDR) made a wise and topical choice therefore in selecting uncertain unsettled lives as the theme for the 2021–2022 report. This paper first identifies some of the strengths of the current human development policy analysis but then proceeds to outline multiple concrete, though novel, ways of addressing the challenges of uncertain times and unsettled lives. These include the need for unpackaging the concept of uncertainty, highlighting both differences and linkages between risk and uncertainty, and further implications for policymaking. In addition, we discuss new and promising ways of thinking about uncertainty in policy issues around human development including complexity theory and complex adaptive systems thinking as well as quantum-like frameworks. Finally, we discuss applied spirituality which, in our opinion, can be of great value in engaging with unsettled lives. Ours is an attempt to call for a future paradigm in policy thinking, and social and human sciences as a whole. [ABSTRACT FROM AUTHOR]