In sudden-onset industrial disaster, responding effectively to a mass casualty incident (MCI) requires more than clinical readiness; it demands the integration of multiple regulatory frameworks and standards. In the context of an industrial disaster, the International Organization for Standardization 45001 will provide parameters for the creation of the response plan. In addition, the utilization of the Major Incident Medical Management and Support operational framework will expand the complex industrial interagency response. These should be components of the local MCI response plan, which has proven successful worldwide to enhance the capacity and capabilities in responding to complex emergencies.

From a policy analysis perspective, the complexity and far-reaching consequences of industrial sudden onset disasters underscore the importance of implementing coordination mechanisms that bring together management systems and operational benchmarks. To build essential competencies among first responders, first receivers, and industrial workers, modular simulation exercises focusing on specific risk management and MCI response components are essential.

Existing research on Chile’s 2022 constitution-making process primarily explained the negative referendum outcome through individual-level factors. The role of political parties in responding to the product of deliberation has been widely overlooked. This article addresses that gap by examining party reactions to the draft constitution, a proposal aligned with the left-wing constitutional project of New Latin American Constitutionalism. Although the proposal embodied this project, party responses proved far more ambivalent, especially in the center-left, where party endorsement often was conditional. This ambivalence weakened the approval campaign and proved decisive in the referendum’s rejection. The analysis underscores that partisan ideology matters in deliberative constitution-making.

Collaborative design (co-design) is a team effort fostered through the creative involvement of all participants in co-creative collaboration (co-creation). This new approach to design as a creative social activity heightens the need to study the interpersonal aspects of creativity. Though co-creation has become widely used in recent years, few studies focus on its dynamics, which emerge from intense interactions created by the shared subjectivities of participants in an intersubjective environment. The management and enhancement of interpersonal factors can help create this shared environment by leading the process from personal to interpersonal creativity. Some of these interpersonal factors could be measured by observing the data of biosignals that are used as social cues, particularly if studied in comparison with the data of one of the partners of the social interaction, thanks to the synchrony rate between these datasets. This synchrony of biosignals related to shared behaviours can be associated with the interactive level dynamics that occur during co-creation in team of two (pairwork). This study presents the results of an experiment where biosignal synchrony results were compared to subjective feedback regarding the interactive level to understand the dynamics of the interaction. The results suggest the possibility of using the synchrony rate measured by the Damerau- Levenshtein distance (Ld) or dynamic time warping method (DTW) to approximate the dynamics of the interactive level in co-creative pairwork. This study will contribute to our understanding of the influence of the socio-cognitive process on interactions during co-creation to improve the co-creative design process.

This paper examines China’s emerging case law system through an empirical analysis of more than 10,000 court judgments issued between 2019 and 2021. It challenges prevailing academic views that Guiding Cases are ‘de facto binding’ on Chinese courts and that China’s case law system could be interpreted through a common law lens. Instead, the study shows that the Chinese approach is characterised by distinct objectives, methodologies, and applications. The paper further highlights the practice of ‘mandatory search for similar cases’, which has substantially expanded the role of cases in judicial decision-making. China’s case law system remains in its formative stages, marked by notable uncertainties and challenges. This research underscores the importance of sustained empirical inquiry into legal rules and practices to better understand the trajectory of China’s case law system and the broader implications of this novel approach for contemporary judicial practice.

The promise or intent of change is a fundamental feature of ‘green’ finance. Despite many observable and notable changes in financial discourse, disclosure practices, products, and regulatory reforms, many green finance researchers are also painfully aware of the various ways in which green finance falls short of its promise. Being confronted with stasis creates feelings of frustration and gives rise to fundamental questions about the role of researchers in conducting research in this area and their normative stances towards their research objects. To generate movement away from stasis, this article calls for a more explicit consideration of researchers’ agency, emotions, and normativities in green finance research. Drawing on the metaphor of paths and path-making – a generative tool for thinking across various disciplines – it outlines different types of agency that can help researchers in orienting themselves along different pathways of change. In reflecting on these agencies, the article advocates for fostering explicit discussions on the diverse normative stances present in green finance research. This approach aims to inspire opportunities for collective authorship on specific and pressing questions, ultimately enhancing the collective agency of socio-economic scholarship in the field of green finance.

Understanding how spectral quantities localize on manifolds is a central theme in geometric spectral theory and index theory. Within this framework, the BFK formula, obtained by Burghelea, Friedlander, and Kappeler in 1992, describes how the zeta-regularized determinant of an elliptic operator decomposes as the underlying manifold is cut into pieces. In this article, we present a novel proof of this result. Inspired by the work of Brüning and Lesch on the eta invariant of Dirac operators, we derive the BFK formula by interpolating continuously between boundary conditions and understanding the variation of the determinant along this deformation.

Ranking multiple interventions is a crucial task in network meta-analysis (NMA) to guide clinical and policy decisions. However, conventional ranking methods often oversimplify treatment distinctions, potentially yielding misleading conclusions due to inherent uncertainty in relative intervention effects. To address these limitations, we propose a novel Bayesian rank-clustering estimation approach, termed rank-clustering estimation (RaCE), specifically developed for NMA. Rather than identifying a single “best” intervention, RaCE enables the probabilistic clustering of interventions with similar effectiveness, offering a more nuanced and parsimonious interpretation. By decoupling the clustering procedure from the NMA modeling process, RaCE is a flexible and broadly applicable approach that can accommodate different types of outcomes (binary, continuous, and survival), modeling approaches (arm-based and contrast-based), and estimation frameworks (frequentist or Bayesian). Simulation studies demonstrate that RaCE effectively captures rank-clusters even under conditions of substantial uncertainty and overlapping intervention effects, providing more reasonable result interpretation than traditional single-ranking methods. We illustrate the practical utility of RaCE through an NMA application to frontline immunochemotherapies for follicular lymphoma, revealing clinically relevant clusters among treatments previously assumed to have distinct ranks. Overall, RaCE provides a valuable tool for researchers to enhance rank estimation and interpretability, facilitating evidence-based decision-making in complex intervention landscapes.

Relative to the general population, autistic adults are at elevated risk for depression. Factors related to this risk are poorly understood, yet identifying such factors is important for improving mental health in autistic people. Emotion regulation (ER) challenges may be one such factor. However, few studies have examined ER challenges and depression in autistic adults. We examined ER challenges, depressive symptomatology and their associations in 775 (aged 18–83 years) autistic adults using network analysis, a method that permits identification of key components of ER and depression and their interrelatedness. Three non-regularized weighted undirected networks were estimated: ER challenges, depressive symptomatology, and combined ER-depressive challenges. Community structures revealed in the ER challenges and depressive symptomatology networks align with theoretical/nosological models of ER challenges/depressive symptoms as well as extant research using network analysis to examine these constructs. The combined ER challenges-depressive symptomatology network indicated that ER challenges and depressive symptomatology are interrelated but distinct constructs. These preliminary findings using cross-sectional data provide a first step in understanding associations between a candidate factor in depression vulnerability in autistic adults – ER challenges – and identify important future research directions.