Guided by a lifespan developmental perspective, using a network analysis approach, this study compared the structure of daily stress components in mothers of adolescents and adults with developmental disabilities (DD) and a matched sample of mothers of children without DD. We also examined whether components of daily stress were differentially associated with subsequent depression symptoms. Participants (N = 516; 100% female; M = 54.52 years, SD = 10.21; 94.2% White) were drawn from two cohorts: a DD cohort constructed from two linked longitudinal studies of families of adolescents and adults with autism and fragile X syndrome and a comparison group from the Midlife in United States study. Participants completed an 8-day daily telephone interview and reported depressive symptoms two years later. Findings demonstrated that the daily stress network of mothers of individuals with DD was significantly more interconnected than that of the comparison group. Stressor risk appraisal emerged as a central node in both groups, highlighting the role of cognitive appraisal in shaping stress responses. Negative affective reactivity linked daily stress components with later depressive symptoms, particularly in the DD group. Chronic caregiving stress may heighten interconnectivity within daily stress networks, reducing psychological flexibility and increasing vulnerability to daily stressors.

Agile teams often encounter obstacles in systematically identifying the underlying root causes of collaboration challenges and deriving effective countermeasures. Grounded in the Design Research Methodology, this study investigates a hybrid AI-human approach for targeted generation of problem-specific reference and impact models to enhance systematic improvement in agile product development. A structured workflow integrates AI capabilities (e.g. scaffolding, consistency) and expert knowledge (causality, context), while a three-stage review ensures methodological rigor and result reliability.

Recent advances in ancient DNA and isotope analysis have enabled archaeologists to detect migration events in the distant past. Yet, novel approaches evaluating the cultural impact of these migrations are lacking. As a result, archaeologists continue to debate problematic culture-historical scenarios in which migrants rapidly supplant passive indigenous communities. This study outlines a bottom-up, quantitative approach to prehistoric migrations. This approach uses Bayesian chronological modelling to investigate whether migrating and indigenous communities co-existed. In addition, a novel probabilistic comparison of ceramic technology traces whether cultural knowledge is exchanged between potters in these communities. This approach is applied to the emergence of Corded Ware communities in the Netherlands during the 3rd millennium BC. The outcomes demonstrate that this process was not a rapid replacement of indigenous groups by migrants, as sometimes stated. Instead, migrants likely co-existed with indigenous communities for centuries, learned ceramic production from them, and incorporated this knowledge into the production of characteristic Corded Ware ceramics. Furthermore, the outcomes suggest this scenario was likely commonplace for prehistoric migration in the 3rd and 4th millennia BC. As such, this study provides new approaches and insights which enable archaeologists to shed light on prehistoric migration, talk back to archaeogenetics on an equal footing, and contribute to broader societal debates on migration.

Governance principles reflect procedural values that govern the means of implementing public policies. Using survey data from Italy and the United Kingdom, we explore the public’s orientations towards those principles. We model them as instrumental values in belief systems, and as components of a network of attitudes. We find that governance principles largely occupy their own community; their interdependence with each other is far greater than their dependence on any other values or attitudes. Public employment experience neither alters the internal integration of governance principles nor changes their relationship with the larger belief system. We observe low levels of dynamic constraint among governance value orientations and show evidence that higher-order values account for the greatest influence over them. They remain strikingly invariant to simulated shifts in other attitudes, though modestly more constrained in Italy than in the UK. Our results suggest that orientations towards transparency can be most strongly influenced by other beliefs.

Classical symmetric association measures, such as correlation and chi-square indices, are widely used in applied psychology. However, these indices have limitations in identifying asymmetric implicative relationships. Standard regression analysis of Y on X, frequently interpreted as evidence of a directed dependence $X\to Y$, does not preclude the reverse direction ($Y\to X$). While various proposals in the literature have sought to provide non-symmetric association measures between binary events, most have overlooked the potential information in the contrapositive ($\bar {B}\to \bar {A}$), in addition to the main assertion ($A\to B$). When multiple variables are involved, asymmetric dependence is frequently represented as intricate dependency networks, which can be challenging to summarize and interpret in terms of higher-order clusters or latent dimensions. This article introduces a novel statistical implication index designed to address both limitations. The efficacy of this asymmetric index is demonstrated through its ability to detect one-way implication relationships, using both positive and contrapositive evidence. It also facilitates dimensional reduction by establishing aligned sets of nodes in a graph representation, under the condition that a Rasch model holds on these nodes, thus filling the gap between graphical and dimensional models. The efficacy of this index is substantiated through both simulated and real-world data illustrations.

This study examined the development of bilingual lexical networks in adolescence through word association task and network analysis. Participants were Chinese–English bilinguals in Grade 8 (middle school; aged 13–14 years) and Grade 11 (high school; aged 16–17 years). Networks were constructed based on word association responses separately for each grade and language, and structural properties of networks were computed. Results showed that from Grade 8 to Grade 11, the Chinese networks displayed increased within-group convergence while maintaining overall structural stability and small-world features. In contrast, the English networks expanded in size, with longer average shortest paths, higher local clustering, and greater modularity (Q), reflecting rapid growth and restructuring, while also exhibiting small-world features. Across grades, L1 networks remained larger and more structured than L2 networks, though the gap decreased over time, indicating increasing cross-language similarity. These findings provide new insights into bilingual lexical development during the adolescent years.

Scholars and policymakers alike now view competition between states as the primary threat to international security. Yet the nontraditional threats that previously defined the global security landscape, such as terrorism and civil war, continue to flourish. Recent interstate conflicts have featured nonstate armed groups as central actors, and governments rely on these groups to extend their interests. This article examines how government support for foreign nonstate actors affects interstate competition. We conceptualize state–nonstate ties as transnational networks comprised of cooperative relationships between governments and foreign terrorist organizations, rebel groups, militias, and civilian groups. We argue that these transnational networks exacerbate interstate tensions in two ways. First, they increase a state’s capacity relative to adversaries, which emboldens the government, increases its bargaining leverage, and leads to increased aggression toward other states. Second, they increase a government’s liability for the actions of sponsored groups, which leads to unintended confrontations and retaliatory actions by affected targets. To measure interstate competition, we use high-resolution event data on verbal and material conflict between governments. We incorporate these data into network models that allow transnational ties and interstate conflict to co-evolve, such that states form ties to nonstate actors in response to interstate conflict, and those ties in turn influence conflict probability. We find that both the size and structure of governments’ respective transnational networks are associated with an increase in verbal and material conflict. Further, this association is particularly strong for states that lack conventional military strength. These findings suggest that cooperation between governments and nonstate actors is integrally connected to, and often exacerbates, interstate competition.

This article presents an analysis of the relationship between urbanization as an ongoing process and economic development in medieval (c. AD 1250–1400) southern and midland England. It is proposed that understanding the distribution of pottery through network analysis provides a means of comprehending the role played by affective material relations in these processes. Rather than seeing pottery distributions as reflecting an overarching economic context, the author investigates how relations with pottery, and between pottery and other commodities, generated distinctive and situated modes of urban life. He proposes that the medieval economy was a patchwork rather than a coherent system. The study draws on Deleuze’s concept of the ‘virtual’ to examine how economic emergence and urbanization are open-ended and difference-making processes.

This research note investigates how the involvement of firms in American politics has developed over the past two decades. The central question is whether individual firms have become more active lobbyists compared to business associations in the US Congress over this period. Different subdisciplines in political science have various expectations regarding the evolution of firm lobbying. We test which perspective is most accurate. To evaluate the hypotheses, we use a novel dataset comprising approximately 180,000 instances of lobbying activity by different types of interest organizations across a wide range of sectors and issues. In our analyses, we trace both the relative activity of firms versus business associations and their centrality in lobbying networks. While most theoretical models in the literature suggest a rise of firm lobbying activity, our results highlight a strikingly stable pattern of firm lobbying activity and centrality within the US political system over the past two decades.