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This article constructs an approach to analyzing longitudinal panel data which combines topological data analysis (TDA) and generative AI applied to graph neural networks (GNNs). TDA is deployed to identify and analyze unobserved topological heterogeneities of a dataset. TDA-extracted information is quantified into a set of measures, called functional principal components. These measures are used to analyze the data in four ways. First, the measures are construed as moderators of the data and their statistical effects are estimated through a Bayesian framework. Second, the measures are used as factors to classify the data into topological classes using generative AI applied to GNNs constructed by transforming the data into graphs. The classification uncovers patterns in the data which are otherwise not accessible through statistical approaches. Third, the measures are used as factors that condition the extraction of latent variables of the data through a deployment of a generative AI model. Fourth, the measures are used as labels for classifying the graphs into classes used to offer a GNN-based effective dimensionality reduction of the original data. The article uses a portion of the militarized international disputes (MIDs) dataset (from 1946 to 2010) as a running example to briefly illustrate its ideas and steps.
We aimed to present the hospital presented age-specific rate ratio of Traveller women with self-harm or suicide-related ideation and further explore their experiences when attending hospitals in Ireland with thoughts of suicide.
Methods:
A sequential mixed method analysis was adopted. National presentation data from 24 Irish Emergency Departments (EDs) for suicidal thoughts or self-harm, between 2018–2022 and qualitative interviews were conducted. Descriptive statistics, Poisson regression and rate ratios (95% confidence intervals), were used. Interpretative Phenomenological Analysis (IPA) was conducted on interviews with Traveller women presenting to EDs with suicidal thoughts in 2023. We involved lived experience women in the research.
Results:
693 Traveller women presentations were assessed in the 5-year period. Traveller women between 40–49 years of age had 7·81 (95% CI 6·39– 9·55) times higher risk of ideation presentation and those 50+ had 6·41 (95% CI 5·04–8·15) times higher risk of self-harm, when compared to White Irish females. One in four Traveller female presentations, requested no next of kin involvement when discharged. The ‘Power of human connection’ theme emerged from two Traveller women interviewed, reflecting the powerfulness of support in the participants experiences of suicidal ideation.
Conclusions:
Results highlight the potential suicide risk of Traveller women over the age of 40 and the significant issue of social isolation when all forms of interpersonal support – family, Traveller organisations, and public health services – are lacking, but crucial for a collaborative safety plan upon ED discharge.
Political economists continue to imagine the twentieth century in terms of three interlocking transformations: the neoclassical revolution in economics, the political triumph of neoliberalism, and the financialisation of the world economy. In his new book, The Sexual Economy of Capitalism, Noam Yuran tells a completely different story, identifying an obscene financial kernel already present at the dawn of modern capitalism and tracing the effects of its later blooming across a wide range of contemporary settings. In this essay, I develop an exaggerated version of Yuran’s narrative, drawing particular attention to the theoretical and philosophical implications of an obscene perspective on financial life today.
This article concerns the economy of one of the few fortified settlements of the Late Bronze Age–Early Iron Age on the northern coast of the Black Sea, the Uch-Bash settlement, and its satellite settlement, Sakharna Holovka, in the Inkerman Valley in south-western Crimea. Archaeological excavations from the 1950s onwards have yielded much information on the cultivation of plants from the settlement, including charred grains and their impressions on pottery, tools for harvesting and processing the crops, storage containers, and other objects. Data were also obtained on the crops that were grown in the Inkerman Valley. Together, this evidence shows that the production of cereals was a major aspect of its economy at the turn of the Bronze Age to the Iron Age.
This study compares the uses of the acronym wtf (‘what the fuck’) in digitally mediated text-based interactions in three typologically distinct languages: American English (source language), and Finnish and Chilean Spanish (recipient languages). The data consist of tweets extracted from the social media platform X. Interactional Linguistics and Digital Conversation Analysis are employed to examine the functions performed by wtf in different positions in a tweet and interaction. Instances of wtf were annotated to describe its uses in the source language and to compare them with those observed in the recipient languages. The study shows that in all three languages, wtf is used in various tweet-internal and sequential positions. These uses expressed the writer’s disbelief, astonishment, and a problem in acceptance towards prior content. The analysis concludes that the pragmatic functions of wtf in American English undergo a narrowing when it is used in Finnish and Chilean Spanish.
Implementation arrangements are increasingly recognized as a decisive factor in the success of contemporary welfare policies, particularly those that combine income support with activation requirements. This paper examines the Italian case of minimum income schemes - the Reddito di Inclusione and the Reddito di Cittadinanza - to explore how local implementation arrangements shape one of their core objectives: reintegrating beneficiaries into the labour market. Drawing on an original dataset that integrates administrative data with a unique INAPP survey of local institutions, we operationalize “implementation arrangements” along three dimensions: institutional capacity, alignment between organizational missions and policy goals, and the quality of institutional cooperation within a multilevel governance framework. Using regression models at the municipal level, we find that implementation strength matters, but horizontal cooperation and effective communication between Public Employment Services (PES) and Local Social Planning Institutions (LSPIs) emerge as the strongest predictors of successful outcomes. While PES performance is central due to their policy mandate, LSPIs’ ability to foster integrated networks also contributes positively when well-coordinated. These findings highlight that policy success depends less on formal design than on the quality of local governance and institutional complementarities. The results provide new evidence for the literature on implementation, underscoring the importance of horizontal multilevel governance in active social policies.
The quality of research across psychology needs improvement. Ample evidence has indicated that publication bias, specifically making publication decisions based on a study’s results, has led to a distorted literature (e.g., high rates of false positives). Registered Reports, which can now be submitted to Development and Psychopathology, are a recent publication format designed to combat publication bias and problematic research practices. The format represents a shift from a system in which publication decisions are based on the nature of the findings, to one that is based on the quality of the study conceptualization and design. In this invited Views article, we introduce the Registered Reports format to Development and Psychopathology by arguing that they can and should be used in developmental psychopathology research. We first describe what Registered Reports are and why they are useful. We then review 10 commonly expressed concerns about publishing Registered Reports – including that they are not appropriate for studies using preexisting data, that they do not allow for exploratory analyses, and that they take too long to publish – explaining why these concerns are unwarranted. We hope that this article will allay concerns about publishing Registered Reports, and that readers will submit them to Development and Psychopathology.
Building on recent advancements in moral disengagement theory and shared reality theory, we propose that employees do not need to directly experience frequent customer mistreatment to trigger their moral disengagement. Specifically, when employees frequently share their mistreatment experiences with coworkers, even infrequent instances of customer mistreatment can evoke heightened levels of moral disengagement. Conversely, when social sharing occurs less frequently, infrequent instances of customer mistreatment are associated with lower levels of moral disengagement, while more frequent customer mistreatment is linked to higher levels of moral disengagement, which then positively relates to service sabotage, indicating a positive indirect effect of the frequency of customer mistreatment on service sabotage through moral disengagement. Results from two independent time-lagged studies involving samples of call center employees (Sample 1 of Study 1), casino cage cashiers (Sample 2 of Study 1), and service representatives (Study 2) recruited from an online research platform, lend support to our propositions.
We derive large- and moderate-deviation results in random networks given as planar directed navigations on homogeneous Poisson point processes. In this non-Markovian routing scheme, starting from the origin, at each consecutive step a Poisson point is joined by an edge to its nearest Poisson point to the right within a cone. We establish precise exponential rates of decay for the probability that the vertical displacement of the random path is unexpectedly large. The proofs rest on controlling the dependencies of the individual steps and the randomness in the horizontal displacement as well as renewal-process arguments.
Adelges tsugae Annand (Hemiptera: Adelgidae), an invasive pest of eastern hemlock, Tsuga canadensis (Linnaeus) Carrière (Pinaceae), has been causing widespread tree decline and mortality across southwestern Nova Scotia, Canada, since its detection there in 2017. To gain basic knowledge of its biology in this novel part of its invaded range in eastern North America, we investigated the effect of predation on A. tsugae densities and conducted repeated surveys of the resident complex of natural enemies. We found only minimal and incidental predation by generalist arthropod predators, confirming the lack of population regulation by resident natural enemies, including predators of other adelgids. Our results suggest the role of escape from natural enemies in the pest’s rapid spread and impact in eastern Canada. In parallel, we tracked the timing of development through the complex life cycle of A. tsugae to compare its phenology to that in other invaded regions and to that of the closely related strain native to western North America. We discuss the implications of the local phenology of A. tsugae in the context of adopting a classical biological control programme, such as has been implemented in the United States of America, through the redistribution of native specialist predators of A. tsugae from British Columbia, Canada.