Water demand continues to increase in the western U.S., straining existing (and forecasted future) supplies. Water transfers – through either the sale of water rights or contractual leases of bounded duration – are now a well-established means of reallocating water to the highest economic benefit. Water is not a typical commodity, however. Significant variability in price across different geographic locations reflects differences in hydrologic conditions, demand and supply, and infrastructure development. These differences will persist even in well-functioning markets due to high transportation costs and user interconnectivity.

While sufficient data now exist to describe market activity and price trends, no study has yet performed a rigorous analysis that fully accounts for contract type (whether water rights transfer or lease) and price endogeneity. We fill this gap by estimating a simultaneous system of demand equations for rights transfers and leases that accounts for supply drivers of price determination. As one might anticipate, the demand for leases is more elastic than the demand for water rights. Accounting for contract type and price endogeneity provides a more accurate estimation of water’s market value in different locations across the western U.S. Ignoring either issue leads to significant biases with policy implications.

The relative education model holds that educational attainment reflects existing socioeconomic advantages that are associated with participation rather than spurring political participation on its own. Yet, emerging research on compensation effects suggests that greater educational attainment leads to increased political engagement among more marginal populations in which political socialization is less likely to occur outside of schools. We argue that the relative education model will better describe the relationship between education and voting patterns among more advantaged groups. We test our expectations by estimating the relative education model within racial and ethnic groups in the U.S. using data from the Current Population Survey’s (CPS) Voting and Registration Supplement from 1978 to 2020. We find that for relatively highly educated White and Asian American voters, each additional year of education yields diminishing returns to turnout. For Black and Latino voters, additional years of education are positively associated with turnout regardless of relative education. The results suggest that opportunities remain to reduce racial turnout gaps and boost political participation by addressing racial gaps in educational attainment.

Cognitive impairments are a core feature of psychotic disorders, but their long-term trajectory remains contentious. Previous meta-analyses focused on the first 5 years following psychosis onset. Here, we evaluated the change in cognitive impairments in psychotic disorders with a meta-analysis of studies with follow-ups of 5+ years. Following preregistration, databases were searched for relevant articles until July 2024. Two authors screened the reports for studies reporting on the change in cognitive impairments in global cognition, verbal learning and memory, visual learning and memory, working memory, attention, speed of processing, reasoning and problem-solving, and verbal fluency in individuals with psychotic disorders, with a minimum follow-up of 5 years. Three authors extracted data, and the PRISMA guidelines were followed. Random-effects meta-analyses and moderator analyses were conducted. Twenty-four studies comprising 2,633 patients and 1,019 controls were included in the study. Over an average of 8.46 years, cognitive impairments remained stable in all eight measures: global cognition (g = 0.09; 95% CI = 0.03–0.20), verbal memory (g = 0.05; 95% CI = −0.11, 0.21), visual memory (g = −0.16; 95% CI = −0.35, 0.03), working memory (g = 0.03; 95% CI = −0.09, 0.14), attention (g = 0.22; 95% CI = −0.36, 0.80), speed of processing (g = 0.10; 95% CI = −0.14, 0.35), reasoning and problem-solving (g = 0.16; 95% CI = −0.03, 0.35), and verbal fluency (g = 0.08; 95% CI = −0.03, 0.19). We conclude that cognitive impairments remain stable over time, consistent with the neurodevelopmental view of psychotic disorders.

From global tourism and free movement to refugees and climate-related displacement, human mobility is both a driver and an effect of what we think of as globalisation. Yet, the role of international law in constituting human mobility remains critically undervalued. In this contribution, we call for a radical rethinking of the role of international law in shaping our globe through the tenets of the mobilities paradigm in the social sciences. More specifically, we argue for the adoption of a mobile ontology of international law, which pits the constant flow of persons, goods and capital against dominant globalisation narratives predicting the end of place to take a focus on re-territorialisations of power. Taking human mobility as our starting point, we first show how mobility has been central to the foundation of key building blocks of international law. Second, we turn to the example of the global tourism regime to explore how law recursively disperses mobility around the world. Third and finally, we argue that the relationship between international law and human mobility is co-constitutive, as constant shifts in mobilities create unexpected effects, which in turn prompt further evolutions in law. We conclude by reflecting on the space for empirical and critical investigation that may open up by re-imaging (international) law as quintessentially mobile.

Addressing sea-level rise and coastal flooding requires adaptation strategies tailored to specific coastal environments. However, a lack of detailed geomorphological data on global coasts impedes effective strategy development. This research maps seven coastal environments worldwide, and for each environment analyzes the effect of coastal changes on coastal populations by including sea-level change, extreme sea-level events with varying return periods and population growth from 1950 to 2050. It identifies the historical exposure of low-lying deltaic and estuarine flood areas (>48% of total population) and reveals that flood exposure will significantly increase for barrier islands and strandplains by 2050 (with over a 40% rise in exposure), particularly along African coastlines. Population growth emerges as the primary factor behind the increased exposure. While sea-level rise is projected to contribute between 26% and 65% of the increased inundated area by 2050 compared to a 10-year extreme sea-level event, varying by coastal environment. The findings highlight the critical need for mitigation measures that account for the distinct responses of different coastal types to sea-level rise, posing various risks over varying timescales.

New far ultraviolet imaging of the galaxy NGC 205 is presented, which shows the emission is significantly offset ($\sim5^{\prime\prime}$ NW) from the optical and infrared centers of the galaxy. Spectral energy distribution (SED) modelling is applied to investigate the spatial dependence of the star formation history (SFH) of NGC 205, using data from far ultraviolet to far infrared. The SED model includes young and old stellar populations, gas emission, dust emission and dust absorption. The old stellar population has a total mass of $1.1\times10^8$ M$_{\odot}$ whereas the young population has a much smaller total mass of 3 200 M$_{\odot}$. The best forms of SFH for old and young stars are found to be exponentially declining bursts with start times $t_0$ yr ago and e-folding times $\tau$ yr. The old stellar population has uniform $t_0$ = 9.5 Gyr, with $\tau$ decreasing with radius from 1 Gyr to 500 Myr. The young stellar population has $t_0$ = 900 Myr and $\tau$ = 800 Myr, both uniform across NGC 205. The young and old stellar mass surface densities are exponential in radius with scale lengths of 40 and 110 pc, respectively. The dust heating has a $\sim$ 40% contribution from young stars and $\sim$ 60% from old stars.

This article explores and discusses the change processes and pedagogical dilemmas ignited by introducing wild pedagogies to pedagogical employees in Danish early childhood institutions. By analysing experiments aimed at developing new play and learning environments, carried out as part of a large design-based research project, we discuss how existing “roots” of early childhood education in Denmark provide a fertile soil for the introduction of wild pedagogies. We identify two “shoots of change” with a potential for pushing the status quo in relations between children, adults, and more-than-human nature. Centreing on altering the place of nature in early childhood education and carving out time for more open approaches, these shoots are in close dialogue with wild pedagogies. By experimenting with these shoots of change, pedagogical dilemmas became more visible, important, and present to the participants. Attending to and exploring such dilemmas are crucial aspects of keeping socio-cultural change processes in motion.

We study continuous-time Markov chains on the nonnegative integers under mild regularity conditions (in particular, the set of jump vectors is finite and both forward and backward jumps are possible). Based on the so-called flux balance equation, we derive an iterative formula for calculating stationary measures. Specifically, a stationary measure $\pi(x)$ evaluated at $x\in\mathbb{N}_0$ is represented as a linear combination of a few generating terms, similarly to the characterization of a stationary measure of a birth–death process, where there is only one generating term, $\pi(0)$. The coefficients of the linear combination are recursively determined in terms of the transition rates of the Markov chain. For the class of Markov chains we consider, there is always at least one stationary measure (up to a scaling constant). We give various results pertaining to uniqueness and nonuniqueness of stationary measures, and show that the dimension of the linear space of signed invariant measures is at most the number of generating terms. A minimization problem is constructed in order to compute stationary measures numerically. Moreover, a heuristic linear approximation scheme is suggested for the same purpose by first approximating the generating terms. The correctness of the linear approximation scheme is justified in some special cases. Furthermore, a decomposition of the state space into different types of states (open and closed irreducible classes, and trapping, escaping and neutral states) is presented. Applications to stochastic reaction networks are well illustrated.

The critical points of vorticity in a two-dimensional viscous flow are essential for identifying coherent structures in the vorticity field. Their bifurcations as time progresses can be associated with the creation, destruction or merging of vortices, and we analyse these processes using the equation of motion for these points. The equation decomposes the velocity of a critical point into advection with the fluid and a drift proportional to viscosity. Conditions for the drift to be small or vanish are derived, and the analysis is extended to cover bifurcations. We analyse the dynamics of vorticity extrema in numerical simulations of merging of two identical vortices at Reynolds numbers ranging from 5 to 1500 in the light of the theory. We show that different phases of the merging process can be identified on the basis of the balance between advection and drift of the critical points, and identify two types of merging, one for low and one for high values of the Reynolds number. In addition to local maxima of positive vorticity and minima of negative vorticity, which can be considered centres of vortices, minima of positive vorticity and maxima of negative vorticity can also exist. We find that such anti-vortices occur in the merging process at high Reynolds numbers, and discuss their dynamics.

Objectives/Goals: The goal of this study is to resolve the complexity of the adipose precursor cells and identify potential therapeutic targets/mechanism to treat obesity, diabetes, cancer cachexia, and related metabolic conditions in both white and brown adipose tissues. Methods/Study Population: White and brown adipose precursor cells were isolated from neonatal P0 mice and expanded in culture for single-cell RNA sequencing analysis. Unsupervised machine learning was used to unbiasedly cluster and categorize sequenced cells. Differentially expressed genes were used to identify populations via pathway analysis. Populations were then validated with published datasets via integration, reference mapping, and module scoring to ensure our dataset is reflective of known literature. Then, white and brown datasets were combined and unbiasedly clustered. Finally, signaling inferences using CellChat was used to identify significant signals being sent to and received from each cluster based on ligand–receptor pairs. Results/Anticipated Results: ScRNAseq revealed 7 subclusters in both white and brown adipose tissues. Differential expression and trajectory inferences revealed that white and brown precursors develop into two distinct fates: committed adipogenic precursors (CAPs), where these cells will be mature lipid-laden adipocytes; or fibro-adipogenic precursors-like (FAPLs), where these cells preferably stay in a fibroblast-like, antiadipogenic phenotype. Integrating white and brown cells with subsequent reclustering reveals that white and brown FAPLs are highly similar to one another by being clustered together. Cell signaling inferences and pathway analysis reveal that white and brown FAPLs may participate in the regulation of adipogenesis and angiogenesis of the adipose tissue. Discussion/Significance of Impact: Our results demonstrated that brown and white precursor cells share a common regulatory subpopulation with similar gene expression profiles, highlighting a more interconnected regulatory landscape in adipose tissue than previously understood. These findings reveal novel mechanisms of systemic metabolism and provide new therapeutic targets.

Objectives/Goals: Nucleoside transport by ENT2 facilitates transit of the lupus anti-DNA autoantibody Deoxymab into cells and across the blood–brain barrier into brain tumors. This work examines the Deoxymab-nucleoside interactions that contribute to membrane crossing and apply them in brain tumor therapeutics. Methods/Study Population: Deoxymab interactions with individual nucleosides, nucleobases, and pentose sugars are examined by surface plasma resonance (SPR) and cell penetration assays in a panel of cell lines including glioblastoma, breast cancer, and normal breast epithelial cells. Deoxymab-conjugated gold nanoparticles are generated and tested for binding to normal human astrocytes and glioma cells, and the impact of supplemental nucleosides on this binding is determined. Deoxymab-gold nanoparticles are tested for brain tumor localization by systemic and local administration in mice bearing orthotopic glioblastoma brain tumors and enhancement of laser interstitial thermal therapy (LITT) examined. Results/Anticipated Results: Individual nucleosides significantly increase the efficiency of cell penetration by Deoxymab in all cell lines tested. In contrast, component nucleobases and pentose sugars significantly suppress the uptake of the autoantibody into cells. Deoxymab-conjugated gold nanoparticles bind DNA in vitro and to astrocytes in culture and are anticipated will enhance the efficacy if LITT in vivo by associating with DNA released by necrotic tumors and/or by locally administered nucleosides in brain tumor environments and subsequently act as heat sink to amplify LITT impact. Discussion/Significance of Impact: Deoxymab is a DNA-targeting, cell-penetrating autoantibody. These findings establish nucleosides as the components of DNA that promote autoantibody membrane crossing through ENT2 activity and indicate potential for use of Deoxymab-gold nanoparticles in combination with LITT for brain tumor therapy.