This article explores whether Russia’s war against Ukraine represents a geopolitical turning point for the European Union’s enlargement policy. By applying the concepts of historical institutionalism and turning points, the study examines a potential shift in EU priorities from normative to geopolitical considerations. Through a bibliometric analysis of academic literature and a quantitative analysis of progress reports from 2013 to 2023, the findings reveal that while the EU has increasingly incorporated geopolitical factors into its enlargement strategy, these changes do not yet constitute a definitive turning point.

Venture capital (VC) has recently emerged as a powerful new actor in the military domain. In the USA, VC investment in defence startups doubled between 2019 and 2022. A similar trend is noticeable in Europe, where billions are funnelled into AI-drone startup companies, spurred by escalating conflicts around the globe. VC investment is a ‘high-risk-high-reward’ way of financing military technologies, which requires fast-paced exponential growth at scale (‘blitzscaling’) and the disruption of existing markets. But with disruption comes debris. What happens when military organisations, which must navigate ethical questions pertaining to life and death, become shaped in the image of Silicon Valley and VC funding? This paper argues that the VC sector exerts a significant influence not only on military procurement processes but also on the direction of military operations and practices. This, in turn, has potentially significant effects on the communities and stakeholders affected by military operations, including those caught in the crosshairs of VC-backed AI technologies.

We experimentally study how mutual payoff information affects strategic play. Subjects play the Prisoner's Dilemma or Stag Hunt game against randomly re-matched opponents under two information treatments. In our partial-information treatment, subjects are shown only their own payoff structure, while in our full-information treatment they are shown both their own and their opponent's payoff structure. In both treatments, they receive feedback on their opponent's action after each round. We find that mutual payoff information initially facilitates reaching the socially optimal outcome in both games. Play in the Prisoner's Dilemma converges toward the unique Nash equilibrium of the game under both information treatments, while in the Stag Hunt mutual payoff information has a substantial impact on play and equilibrium selection in all rounds of the game. Belief-learning model estimations and simulations suggest these effects are driven by both initial play and the way subjects learn.

This article investigates properties of a representation based on the Rasch test model for reaction times (RT) that was proposed by Micko. Necessary and sufficient conditions for a set of RT distributions to be Rasch-representable are derived. It is shown that independent serial and independent parallel processing models cannot be reconciled with the representation. However, random extreme models compatible with the Reasch-representation exist that assume RT is determined by the longest or he shortest processing time of a random number of independent paraloel channels. Nonparametric properties of Rasch-representable distributions are derived that can be used for testing the model and for estimating its parameters. Conditions are presented for Rasch-representable distributions to form a scale family. Finally, Rasch-represent-able distributions are characterized interms of their hazard functions.

The United Kingdom’s National Referral Mechanism (NRM) is a framework for identifying potential victims of modern slavery (slavery, servitude, forced labour or human trafficking) and ensuring that they receive adequate care. This research explores differences in referrals and outcomes of potential modern slavery victims within the NRM on the basis of individual attributes, geography and first responder. Findings are based on exploratory analysis of data on 55,000 cases released by the Home Office in spring 2022 plus data from four Freedom of Information requests. Findings confirm that there are significant differences in rates of positive outcomes between native and immigrant groups, with native populations more likely to receive positive conclusive grounds (CG) decisions. Our key contribution is in identification of the role of the first responder in negatively influencing outcomes for victims of particular forms of exploitation. We suggest the differences in outcomes may be explained by the dual role played by first responders within the immigration system in identifying victims and implementing immigration control measures. We situate this finding within a broader critical migration literature on polymorphous borders pointing to the NRM as one mechanism through which bodies are differentially excluded from territorial access and associated rights or benefits.

In this article, we address the following question: how do comprehenders reason about the persona embodied by the speaker to determine the referential meaning of numerical expressions such as ‘The price is $200’? Using a picture selection task, we show that descriptions uttered by speakers embodying a Nerdy persona, indexically associated with highly precise speech, are interpreted more precisely than those uttered by speakers embodying a Chill persona, indexically associated with imprecise speech. These findings contribute to building a more integrative perspective between the socio-indexical and the referential domain of signification, highlighting comprehenders’ social perception of the speaker as a crucial element informing pragmatic reasoning, and meaning interpretation more broadly. (Social meaning, personae, pragmatic reasoning, precision, numerals)*

Using foresight methods such as scenarios, possible futures can be described and anticipated. Needs and requirements as well as product properties can be derived from that, which is necessary to plan successful products for future customers. Changes that occur in the future development can be identified with monitoring and the expected future can be adjusted. A consistent understanding of the use of monitoring for the product engineering process does not exist and is developed in this paper. Thereby, monitoring is considered in the context of validation and located in iPeM.

NASA’s all-sky survey mission, the Transiting Exoplanet Survey Satellite (TESS), is specifically engineered to detect exoplanets that transit bright stars. Thus far, TESS has successfully identified approximately 400 transiting exoplanets, in addition to roughly 6 000 candidate exoplanets pending confirmation. In this study, we present the results of our ongoing project, the Validation of Transiting Exoplanets using Statistical Tools (VaTEST). Our dedicated effort is focused on the confirmation and characterisation of new exoplanets through the application of statistical validation tools. Through a combination of ground-based telescope data, high-resolution imaging, and the utilisation of the statistical validation tool known as TRICERATOPS, we have successfully discovered eight potential super-Earths. These planets bear the designations: TOI-238b (1.61$^{+0.09} _{-0.10}$ R$_\oplus$), TOI-771b (1.42$^{+0.11} _{-0.09}$ R$_\oplus$), TOI-871b (1.66$^{+0.11} _{-0.11}$ R$_\oplus$), TOI-1467b (1.83$^{+0.16} _{-0.15}$ R$_\oplus$), TOI-1739b (1.69$^{+0.10} _{-0.08}$ R$_\oplus$), TOI-2068b (1.82$^{+0.16} _{-0.15}$ R$_\oplus$), TOI-4559b (1.42$^{+0.13} _{-0.11}$ R$_\oplus$), and TOI-5799b (1.62$^{+0.19} _{-0.13}$ R$_\oplus$). Among all these planets, six of them fall within the region known as ‘keystone planets’, which makes them particularly interesting for study. Based on the location of TOI-771b and TOI-4559b below the radius valley we characterised them as likely super-Earths, though radial velocity mass measurements for these planets will provide more details about their characterisation. It is noteworthy that planets within the size range investigated herein are absent from our own solar system, making their study crucial for gaining insights into the evolutionary stages between Earth and Neptune.

OBJECTIVES/GOALS: IL-12 has potent immune effects but the presence of myeloid-derived suppressor cells (MDSC) can inhibit IL-12-induced NK cell cytotoxicity. Thus, we hypothesized that combining IL-12 with trabectedin, an immunosuppressive myeloid cell depleting agent, would improve its therapeutic efficacy in triple negative breast cancer (TNBC). METHODS/STUDY POPULATION: Combination IL-12 and trabectedin was tested in the 4T1 mouse model of TNBC. 4T1 cells were injected into the mammary fat pad of female BALB/cj mice. When tumors reached 50 mm3, mice were randomly divided into 4 groups and treated with PBS, IL-12 (0.5 μg/mouse 3x/wk), 0.15 mg/kg trabectedin weekly or the combination. Tumor volumes were measured by calipers. Mass cytometry was performed on spleens and tumors using a 35-antibody panel. Plasma IFN-γ levels were measured by ELISA. The role of NK cells was evaluated via depletion with anti-asialo-GM1. The Luminex Discovery Assay was used to measure plasma cytokines and immunohistochemistry was performed for CD4 and CD8a. Linear/nonlinear mixed effects modeling was used for in vivo data analysis and applicable t- or ANOVA tests were used for in vitrodata analysis. RESULTS/ANTICIPATED RESULTS: Combination IL-12 and trabectedin led to a significant reduction in tumor burden compared to single-agent IL-12, trabectedin and control treatments (all p<0.001), as well as higher levels of IFN-γ (all p<0.04). One combination treated mouse had complete tumor regression. Splenic MDSC were significantly decreased in combination treated mice. NK depletion abrogated the effects of combination therapy. Compared to mice receiving a control antibody, NK depletion of combination treated mice led to lower levels of CCL5 (p<0.01) and CXCL10 (p<0.001) and significantly higher tumor burden (p=0.001). CD8+T cell levels were significantly higher in combination treated mice compared to those receiving IL-12 (p<0.01), and these levels were decreased when mice were depleted of NK cells (p=0.01). DISCUSSION/SIGNIFICANCE: TNBC represents 15% of all breast cancer diagnoses and is associated with a worse prognosis compared to other subtypes. Black women are twice as likely to be diagnosed with TNBC and more likely to die from disease than White women. Thus, there is an increasing need to develop additional therapeutic options for this disease.

Inverse gas chromatography at infinite dilution, employing alkanes and alkenes as probes, has been used to characterize the surface properties of a series of smectites of varying chemical composition. The results of this study show that the acidic centers and the interlayer distances have a great influence on the specific interaction of the smectite surface with π-bonds of alkenes. High values of the specific interaction parameter, ɛπ, are caused by the existence of strong acidic centers that are connected with interlayer cations as well as with the chemical structure of the mineral sheets. On the other hand, alkanes, whose interaction with the smectites is predominantly dispersive, are unaffected by changes in the clays’ composition and/or structure.

The sorption properties of carbon-composite materials based on montmorillonite and hydrotalcite matrices have been studied using nitrogen adsorption isotherms and inverse gas chromatography. Carbon composite materials derived from both types of inorganic precursors contain pore structure accessible for adsorbate molecules. Adsorption capacity per unit mass of these composite adsorbents is larger in the case of hydrotalcite than in montmorillonite-based materials. Exposing these materials to ambient conditions results in their hydration. Subsequent water removal by heating under vacuum increases nitrogen adsorption capacity, which is explained by the opening of the adsorption space. The water content of hydrated samples and its effect on adsorption capacity is greater for the case of hydrotalcite-based materials. No direct relationship between carbon content and adsorption properties of the materials studied is observed.

The lithium form of taeniolite served as the molecular template for carbon nanocomposites. It was intercalated with hydroxy aluminum and hydroxy aluminum-zirconium cations. Aliquots of the inorganic matrices were saturated by furfuryl alcohol followed by its interlayer polymerization. The structures were heated at 973 K in nitrogen to carbonize the polymeric precursor. Additional materials were mixed with polypropylene glycol which was then carbonized within the mineral layers. The surface properties of the nanocomposites were studied by X-ray diffraction (XRD), DTA, SEM and sorption experiments (sorption of nitrogen). The results showed that structural properties of the derived materials depend on the inorganic matrix and organic precursor. The carbon-taeniolite nanocomposites derived from polyfurfuryl alcohol as a precursor were characterized by high carbon content and a high percentage of its surface area in micropores. A broad spectrum of surface characteristics of the final products were found, depending on the history of the sample.

Systematic killing has long been associated with some of the darkest episodes in human history. Increasingly, however, it is framed as a desirable outcome in war, particularly in the context of military AI and lethal autonomy. Autonomous weapons systems, defenders argue, will surpass humans not only militarily but also morally, enabling a more precise and dispassionate mode of violence, free of the emotion and uncertainty that too often weaken compliance with the rules and standards of war. We contest this framing. Drawing on the history of systematic killing, we argue that lethal autonomous weapons systems reproduce, and in some cases intensify, the moral challenges of the past. Autonomous violence incentivizes a moral devaluation of those targeted and erodes the moral agency of those who kill. Both outcomes imperil essential restraints on the use of military force.