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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]

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]

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]

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]

Many of the global challenges that confront humanity are interlinked in a dynamic complex network, with multiple feedback loops, nonlinear interactions and interdependencies that make it difficult, if not impossible, to consider individual threats in isolation.These challenges are mainly dealt with, however, by considering individual threats in isolation (at least in political terms). The mitigation of dual climate and biodiversity threats, for example, is linked to a univariate 1.5°C global warming boundary and a global area conservation target of 30% by 2030.The situation has been somewhat improved by efforts to account for interactions through multidimensional target setting, adaptive and open management and market‐based decision pathways.But the fundamental problem still remains—that complex systems such as those formed by the network of global threats have emergent properties that are more than the sum of their parts. We must learn how to deal with or live with these properties if we are to find effective ways to cope with the threats, individually and collectively.Here, we argue that recent progresses in complex systems research and related fields have enhanced our ability to analyse and model such entwined systems to the extent that it offers the promise of a new approach to sustainability. We discuss how this may be achieved, both in theory and in practice, and how human cultural factors play an important but neglected role that could prove vital to achieving success. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

We experimentally study how people form predictive models of simple data generating processes (DGPs), by showing subjects data sets and asking them to predict future outputs. We find that subjects: (i) often fail to predict in this task, indicating a failure to form a model, (ii) often cannot explicitly describe the model they have formed even when successful, and (iii) tend to be attracted to the same, simple models when multiple models fit the data. Examining a number of formal complexity metrics, we find that all three patterns are well organized by metrics suggested by Lipman (1995) and Gabaix (2014) that describe the information processing required to deploy models in prediction. [ABSTRACT FROM AUTHOR]