There is a consensus in the literature that the Marxism of the Second International (1889–1916) lacked philosophical sophistication and that understanding of Marxism’s Hegelian origins was lost soon after Karl Marx’s death, only to be recovered with the emergence of Western Marxism in the 1920s. This article challenges this consensus, urging revision of the basic outlines of the intellectual history of Marxism. It begins by sketching two ways contemporary scholars understand the Hegel-Marx connection. It then shows that these views were anticipated before World War I in the work of Max Adler. Against the view that Hegel was “put back into Marxism” in the 1920s or 1970s, then, this article maintains that there have always been sophisticated as well as simplifying accounts of the Hegel-Marx connection.

While much scholarship has considered the role of racial attitudes in shaping public opinion, this paper extends this line of research by examining how racial resentment influences voter turnout and further, how this effect differs across religious and racial groups. Building on conflict decision theory and theories of racialized social pressure, the paper develops expectations about the conditional influence of racial attitudes on voter participation, depending on these compounding religious and racial identities. Analysis of the 2020 Collaborative Multiracial Post-Election Survey (CMPS) reveals that racial resentment is associated with higher voter turnout among White evangelicals, Asian American evangelicals, and Latino evangelicals, while having no impact on White, Latino, and Asian Americans who do not identify as evangelical. In contrast, holding more conservative racial attitudes is associated with a lower, rather than higher, likelihood of voting among both Black evangelicals and Black non-evangelicals. The paper concludes by underscoring the need to examine how multiple social identities can structure the factors that influence political decision-making in American politics.

After a brief overview of tardive dyskinesia, this targeted narrative review will examine the psychosocial consequences of tardive dyskinesia on patients’ daily lives, including stigma, social withdrawal, and quality of life, as well as impact on physical functioning. The extant literature on the impact of tardive dyskinesia on patients and their caregivers is described and summarized, including how patients with tardive dyskinesia perceive the severity and impact of their motor symptoms and whether this aligns with clinical observations by their treaters.

Building energy management (BEM) tasks require processing and learning from a variety of time-series data. Existing solutions rely on bespoke task- and data-specific models to perform these tasks, limiting their broader applicability. Inspired by the transformative success of Large Language Models (LLMs), Time-Series Foundation Models (TSFMs), trained on diverse datasets, have the potential to change this. Were TSFMs to achieve a level of generalizability across tasks and contexts akin to LLMs, they could fundamentally address the scalability challenges pervasive in BEM. To understand where they stand today, we evaluate TSFMs across four dimensions: (1) generalizability in zero-shot univariate forecasting, (2) forecasting with covariates for thermal behavior modeling, (3) zero-shot representation learning for classification tasks, and (4) robustness to performance metrics and varying operational conditions. Our results reveal that TSFMs exhibit limited generalizability, performing only marginally better than statistical models on unseen datasets and modalities for univariate forecasting. Similarly, inclusion of covariates in TSFMs does not yield performance improvements, and their performance remains inferior to conventional models that utilize covariates. While TSFMs generate effective zero-shot representations for downstream classification tasks, they may remain inferior to statistical models in forecasting when statistical models perform test-time fitting. Moreover, TSFMs’ forecasting performance is sensitive to evaluation metrics, and they struggle in more complex building environments compared to statistical models. These findings underscore the need for targeted advancements in TSFM design, particularly their handling of covariates and incorporating context and temporal dynamics into prediction mechanisms, to develop more adaptable and scalable solutions for BEM.

We study the generalised Chvátal–Sankoff constant $\gamma _{k,d}$, which represents the normalised expected length of the longest common subsequence of d independent uniformly random strings over an alphabet of size k. We derive asymptotically tight bounds for $\gamma _{2,d}$, establishing that $\gamma _{2,d} = \tfrac 12 + \Theta ({1}/{\sqrt {d}})$. We also derive asymptotically near-optimal bounds on $\gamma _{k,d}$ for $d\ge \Omega (\log k)$.

Public health data modernization in the United States has accelerated since COVID-19 exposed systemic weaknesses in fragmented data infrastructure and governance. Technical solutions have advanced, but legal and relational barriers still complicate data sharing across jurisdictions. Traditionally, interjurisdictional data sharing has relied on individually negotiated Data Use Agreements (DUAs), a process that is both resource-heavy and often opaque. To address this, the Centers for Disease Control and Prevention have proposed a Core DUA to standardize terms and reduce administrative burden. However, its success depends on trust — a fragile foundation increasingly strained by politicization, perceived lack of transparency, and controversial federal actions involving sensitive data. Jurisdictional concerns about compliance, security, and misuse underscore the need for governance frameworks that prioritize clarity, reciprocity, and accountability. Coercive approaches risk deepening fragmentation and undermining collaborative governance. Ultimately, modernization efforts will fail without supporting trust as the cornerstone of public health data governance. This article examines legal variation, transactional friction, and evolving jurisdictional perspectives to illuminate the critical role of trust in shaping the future of public health data systems.

This commentary suggests that the meaning and content of dignity is bound to the broader question of who is said to have personhood and sovereignty, and thus protection and rights under the law, and who is excluded from our legal community.

Twenty-five years ago, the dripzone hypothesis, whereby the proximity of understorey conifer branches to the crown of dominant Populus trees significantly increased the diversity and abundance of cyanolichens on these conifers, was first described from western North America. Here, we report a similar phenomenon from eastern North America on conifers under the dripzone of yellow birch and aspen trees. We present field observations of this pattern as well as a quantitative analysis of three humid boreal forests from the Island of Newfoundland. For the latter, we examined epiphytic lichen composition on branches of balsam fir within and immediately outside the dripzone of yellow birch trees. The dripzone effect was strong and spatially restricted to the area under the canopy of yellow birch, as well as aspens, on wet sites in humid forests, with significantly more cyanolichens on balsam fir branches under the yellow birch and aspen canopies. Genera of cyanolichens predominantly found under the dripzone included Fuscopannaria, Leptogium, Lobaria, Lobarina, Neproma, Pannaria, Parmeliella, Pectenia, Pseudocyphellaria and Ricasolia, and included the COSEWIC listed Pectenia plumbea. We suggest here that the canopy of broadleaf phorophytes not only shape the cyanolichen community on understorey conifers by chemical enrichment of the throughfall, but also probably from enrichment by cyanolichens within their own canopy, which also contribute abundant cyanolichen propagules.

This article focuses on the use of the terms “deaf” and “deaf-mute” in the interwar Romanian press to explore the multiplicity of meanings attached to this condition in different types of public discourse. My aim is to place in the larger context of that period what meanings become most prominent in newspapers and other forms of popular press, why, and with what consequences. I offer an exploration of these discourses to better appreciate how the reading public, both able-bodied and disabled, saw disability represented. Rendering the very multiplicity of meanings attached to “deafness” visible in the relevant context is an important goal for this essay; it allows us to better understand the continued imprecision and stigmatizing framework in how Romanian society engaged with the deaf. I also explore what space existed for the deaf community to shape their own self-representations. Placing ableist discourses in dialogue with the voices of the deaf community is an important aim, as a method to de-essentialize the predominant ableist discourses and normalize accounting for disability as a significant element of modern history.

This article examines the Russian Fund for Invalids of the War in Afghanistan (RFIVA), a post-Soviet disability organization whose disabled veteran members became involved in organized crime after the collapse of the Soviet Union, ultimately culminating in the 1996 Kotliakovskoe Cemetery bombing. When the Soviet state vanished, disabled people felt the effects of its absence most harshly. But disabled veterans of the Soviet-Afghan War, who had constructed a shared identity around violent disabled masculinity, found both solidarity and profit in the sale of violence in the hyper-capitalist, neoliberal Russia. During Russia’s transition to a market economy, a small part of the Afghan veteran’s movement formed into criminal and semi-criminal organizations, including the Russian Fund for Invalids of the Afghan War (RFIVA). The organization eventually splintered over disagreements regarding its obligations to provide care for disabled veterans: a reflection of broader questions over the relationship of disabled veterans to Russian society.

The high cost of medication is a common challenge for many Americans. This is particularly true for patients served by Federally Qualified Health Centers (FQHCs) that often have low income and are medically vulnerable. In this article I discuss the history and purpose behind the creation of the 340B drug pricing program, legislation enacted to limit the cost of drugs used by patients covered by Medicaid that requires drug manufacturers to enter into discount agreements with the Health Resources and Services Administration (HRSA), and how for years this program has been used to finance health care provision for communities that use FQHCs as their source of primary care. Additionally, I will discuss the history behind the creation of FQHCs and how that mission is affected by litigation and proposed reforms that would limit the ability of FQHCs to leverage savings and revenue from the program to fund health services for their patient populations. I argue that reinforcement of existing discounting practices, along with limited reforms of the 340B program are necessary to avoid disruption of health care provision for patients of FQHCs and to ensure that the 340B program continues to perform as intended.