For a smooth affine group scheme G over the ring of p-adic integers and a cocharacter $\mu $ of G, we develop the deformation theory for G-$\mu $-displays over the prismatic site of Bhatt–Scholze, and discuss how our deformation theory can be interpreted in terms of prismatic F-gauges introduced by Drinfeld and Bhatt–Lurie. As an application, we prove the local representability and the formal smoothness of integral local Shimura varieties with hyperspecial level structure. We also revisit and extend some classification results of p-divisible groups.

Double-zero-event studies (DZS) pose a challenge for accurately estimating the overall treatment effect in meta-analysis (MA). Current approaches, such as continuity correction or omission of DZS, are commonly employed, yet these ad hoc methods can yield biased conclusions. Although the standard bivariate generalized linear mixed model (BGLMM) can accommodate DZS, it fails to address the potential systemic differences between DZS and other studies. In this article, we propose a zero-inflated bivariate generalized linear mixed model (ZIBGLMM) to tackle this issue. This two-component finite mixture model includes zero inflation for a subpopulation with negligible or extremely low risk. We develop both frequentist and Bayesian versions of ZIBGLMM and examine its performance in estimating risk ratios against the BGLMM and conventional two-stage MA that excludes DZS. Through extensive simulation studies and real-world MA case studies, we demonstrate that ZIBGLMM outperforms the BGLMM and conventional two-stage MA that excludes DZS in estimating the true effect size with substantially less bias and comparable coverage probability.

Are people more inclined to help strangers when they’ve experienced similar hardships? People who have experienced displacement could be tremendous allies to the newly displaced, but they are relatively understudied. This study explores how people who have experienced wartime displacement respond to refugees fleeing new violence. I prime Serbs who experienced wartime displacement with either (1) their experience of displacement or (2) their ethnic identity. I then measure their altruism toward Syrian refugees traveling the Balkan route. Compared to participants who were reminded of their ethnic identity, participants who were reminded of their displacement were no more generous toward displaced Syrians. In fact, participants who experienced displacement, as well as wartime violence, were more generous toward the refugees when they were reminded of their ethnic identity. These results suggest that shared hardship alone may not necessarily enhance refugee inclusion. The results further suggest that interventions may benefit from calling out the differences between hosts and refugees—in this case, on the dimension of ethnicity. These findings caution humanitarians to construct their interventions with care.

This article derives four propositions for conceptualizing resistance to the Americanization of finance in advanced economy states. Resistance entails truncation of market-based financial innovations in line with political profit-sharing arrangements between governments, bankers, and other coalitional interests locked in a game of bank bargains. Resistance transpires through two key power structures in the national architecture for economic statecraft: the political executive and the financial supervisory system. Since change does not occur in a vacuum, resistance manifests as political bricolage amid idiosyncratic enabling and constraining factors comprising the broader public policy environment. Lastly, resistive capacity by state bricoleurs is contingent upon leeway for executive power and coherence of the financial supervisory system in relation to the underlying system of representative democracy. Using Canada as an exploratory case, it is shown that federal policymakers effectively truncated the Americanization of Canadian finance through strategic political and regulatory interventions geared toward preserving the incumbent profit-sharing arrangement with its Big Six banks. In line with the growing body of scholarship illuminating neoliberalism as governance through markets rather than a freeing of market forces, the findings suggest that truncation enabled re-regulation of Canadian finance along the grain of financial globalization as opposed to deregulation per se.

In prognosis studies with time-to-event outcomes, the survivals of groups with high/low biomarker expression are often estimated by the Kaplan–Meier method, and the difference between groups is measured by the hazard ratios (HRs). Since the high/low expressions are usually determined by study-specific cutoff values, synthesizing only HRs for summarizing the prognostic capacity of a biomarker brings heterogeneity in the meta-analysis. The time-dependent summary receiver operating characteristics (SROC) curve was proposed as a cutoff-free summary of the prognostic capacity, extended from the SROC curve in meta-analysis of diagnostic studies. However, estimates of the time-dependent SROC curve may be threatened by reporting bias in that studies with significant outcomes, such as HRs, are more likely to be published and selected in meta-analyses. Under this conjecture, this paper proposes a sensitivity analysis method for quantifying and adjusting reporting bias on the time-dependent SROC curve. We model the publication process determined by the significance of the HRs and introduce a sensitivity analysis method based on the conditional likelihood constrained by some expected proportions of published studies. Simulation studies showed that the proposed method could reduce reporting bias given the correctly-specified marginal selection probability. The proposed method is illustrated on the real-world meta-analysis of Ki67 for breast cancer.

This article explores the use of speech representation verbs in Late Modern English. Drawing data from CLMET3.0, it focuses on paralinguistic verbs in narrative fiction texts from the eighteenth through the early twentieth centuries, as in blubbered in ‘“And only last Sunday – afternoon,” Mr. Povey blubbered.’ (CLMET3.0; 1908, Bennett, Old Wives’ Tale). The results show a drastic increase of these verbs, both in tokens and types, across the Late Modern English period, especially in direct speech constructions. I argue that this trend is linked to developing conventions for and experimentation with speech representation in the growth of especially the novel in the first half of the nineteenth century and beyond: the paralinguistic verbs offer a flexible tool for writers not only to structure dialogue, but also to convey stance and hence influence reader interpretation of characters, roles, situations and themes. The results underscore the importance of studying literary texts for understanding the general development of speech representation mechanisms in the history of English.

Matching-adjusted indirect comparison (MAIC) has been increasingly applied in health technology assessments (HTA). By reweighting subjects from a trial with individual participant data (IPD) to match the summary statistics of covariates in another trial with aggregate data (AgD), MAIC enables a comparison of the interventions for the AgD trial population. However, when there are imbalances in effect modifiers with different magnitudes of modification across treatments, contradictory conclusions may arise if MAIC is performed with the IPD and AgD swapped between trials. This can lead to the “MAIC paradox,” where different entities reach opposing conclusions about which treatment is more effective, despite analyzing the same data. In this paper, we use synthetic data to illustrate this paradox and emphasize the importance of clearly defining the target population in HTA submissions. Additionally, we recommend making de-identified IPD available to HTA agencies, enabling further indirect comparisons that better reflect the overall population represented by both IPD and AgD trials, as well as other relevant target populations for policy decisions. This would help ensure more accurate and consistent assessments of comparative effectiveness.

This article examines how nuclear weapons are depicted in video games. While the literature has explored the social and symbolic meanings of nuclear weapons and how they have been represented in popular culture, existing accounts have not thoroughly engaged with video games. Examining the bestselling game Call of Duty, I show how gameplay narratives contribute to normalising dominant knowledge about nuclear weapons. The overarching argument advanced in this article is that representations of nuclear weapons in video games contribute to legitimising the ongoing possession and modernisation of nuclear weapons. Drawing on feminist post-structuralist theory, I show how nuclear weapons are programmed to be an exclusive item that only the most skilled players can obtain, reinforcing the exclusionary power dynamics sustaining the nuclear status quo. Moreover, I show how game dynamics produce nuclear weapons as a win-condition, and thus a symbol of power and success that reinforces dominant understandings of their military value while masking the horror of killing. Deconstructing the playing dimension of video games, I situate the ludic aspect as a meaning-making system, working synergically with gameplay stories to reinforce dominant knowledge about nuclear weapons. Ultimately, the article draws attention to everyday discursive mechanisms that render a nuclear world possible.

This paper uses the gradual expansion of the European railway network to investigate how this key technological driver of modernization affected ethnic separatism between 1816 and 1945. Combining new historical data on ethnic settlement areas, conflict, and railway construction, we test how railroads affected separatist conflict and successful secession as well as independence claims among peripheral ethnic groups. Difference-in-differences, event study, and instrumental variable models show that, on average, railway-based modernization increased separatist mobilization and secession. These effects concentrate in countries with small core groups, weak state capacity, and low levels of economic development as well as in large ethnic minority regions. Exploring causal mechanisms, we show how railway networks can facilitate mobilization by increasing the internal connectivity of ethnic regions and hamper it by boosting state reach. Overall, our findings call for a more nuanced understanding of the effects of European modernization on nation building.

What is the role of law in imperial state-building projects? We study this question of historical significance with an empirical focus on Russian arbitrazh (commercial) courts in Crimea. We document the increase in the number of disputes that involve the Russian state and strong pro-government favoritism in court decisions. We also find that arbitrazh courts are used as a check on local political elites. At the same time, our analysis establishes favoritism toward local businesses in disputes with Russian businesses. Most importantly, we highlight that this stick-and-carrot legal politics is not only imposed from above: Local judges who defected to Russia act more favorably than outsider judges appointed from Russia toward the Russian state and businesses, plausibly because local judges want to signal their loyalty. The implication is that imperial legal domination emerges not only through directives from the metropole but also through the everyday contributions of local imperial intermediaries.

Studies on household income and consumption in Southern Europe have primarily focused on rural areas and factory workers. In this study, we aim to incorporate evidence of household income, considering the earnings of all household members and not just the male wage, using the population list of Zaragoza (Spain) from 1924. This population list is the first (and the last) to systematically record the wages of all citizens regardless of their family role or age. Our results confirm that, in 1924, most working-class households still required the labour of women and/or children to meet basic consumption needs (on average, they contributed nearly sixty per cent of the household income). Based on different food consumption baskets, the results also show that, with household income, the majority of working-class families could afford a basic consumption basket but not a nutritionally more complete basket.

Major depressive disorder (MDD) and coronary heart disease (CHD) can both cause significant morbidity and mortality. The association of MDD and CHD has long been identified, but the mechanisms still require further investigation. Seven mRNA microarray datasets containing samples from patients with MDD and CHD were downloaded from Gene Expression Omnibus. Combined matrixes of MDD and CAD were constructed for subsequent analysis. Differentially expressed genes (DEGs) were identified. Functional enrichment analyses based on shared DEGs were conducted to identify pivotal pathways. A protein-protein network was also applied to further investigate the functional interaction. Results showed that 24 overlapping genes were identified. Enrichment analysis indicated that the shared genes are mainly associated with immune function and ribosome biogenesis. The functional interactions of shared genes were also demonstrated by PPI network analysis. In addition, three hub genes including MMP9, S100A8, and RETN were identified. Our results indicate that MDD and CHD have a genetic association. Genes relevant to immune function, especially IL-17 signalling pathway may be involved in the pathogenesis of MDD and CHD.

Machine learning (ML) models have been developed to identify randomised controlled trials (RCTs) to accelerate systematic reviews (SRs). However, their use has been limited due to concerns about their performance and practical benefits. We developed a high-recall ensemble learning model using Cochrane RCT data to enhance the identification of RCTs for rapid title and abstract screening in SRs and evaluated the model externally with our annotated RCT datasets. Additionally, we assessed the practical impact in terms of labour time savings and recall improvement under two scenarios: ML-assisted double screening (where ML and one reviewer screened all citations in parallel) and ML-assisted stepwise screening (where ML flagged all potential RCTs, and at least two reviewers subsequently filtered the flagged citations). Our model achieved twice the precision compared to the existing SVM model while maintaining a recall of 0.99 in both internal and external tests. In a practical evaluation with ML-assisted double screening, our model led to significant labour time savings (average 45.4%) and improved recall (average 0.998 compared to 0.919 for a single reviewer). In ML-assisted stepwise screening, the model performed similarly to standard manual screening but with average labour time savings of 74.4%. In conclusion, compared with existing methods, the proposed model can reduce workload while maintaining comparable recall when identifying RCTs during the title and abstract screening stages, thereby accelerating SRs. We propose practical recommendations to effectively apply ML-assisted manual screening when conducting SRs, depending on reviewer availability (ML-assisted double screening) or time constraints (ML-assisted stepwise screening).

The study aims were to present in vitro susceptibilities of clinical isolates from Gram-negative bacteria bloodstream infections (GNBSI) collected in China. GNBSI isolates were collected from 18 tertiary hospitals in 7 regions of China from 2018 to 2020. Minimum inhibitory concentrations were assessed using a Trek Diagnostic System. Susceptibility was determined using CLSI broth microdilution, and breakpoints were interpreted using CLSI M100 (2021). A total of 1,815 GNBSI strains were collected, with E. coli (42.4%) and Klebsiella pneumoniae (28.6%) being the most prevalent species, followed by P. aeruginosa (6.7%). Susceptibility analyses revealed low susceptibilities (<40%) of ESBL-producing E. coli and K. pneumonia to third-/fourth-generation cephalosporins, monobactamases, and fluoroquinolones. High susceptibilities to colistin (95.0%) and amikacin (81.3%) were found for K. pneumoniae, while Acinetobacter baumannii exhibited a high susceptibility (99.2%) to colistin but a low susceptibility to other antimicrobials (<27.5%). Isolates from ICUs displayed lower drug susceptibility rates of K. pneumoniae and A. baumannii than isolates from non-ICUs (all P < 0.05). Carbapenem-resistant and ESBL-producing K. pneumoniae detection was different across regions (both P < 0.05). E. coli and K. pneumoniae were major contributors to GNBSI, while A. baumannii exhibited severe drug resistance in isolates obtained from ICU departments.