The steam-driven transport revolution of the late nineteenth and early twentieth centuries dramatically altered the geography of globalization, fuelling rapid urbanization at an unprecedented scale in port cities across the globe. Whereas global historians have primarily studied port cities because of their function in globe-spanning networks, this special issue explores the intersection of global and urban history from a socio-environmental perspective. Crucially, the contributions to this issue underline that the creation of port cities, and their social histories, must be understood in relation to local landscapes, both built and natural, and their transformations over time.

A prominent literature on pre-modern warfare and institution-building holds that intense military competition in pre-modern Europe encouraged institutional innovations—for example, centralized bureaucracies and monopolies on coercion—that empowered rulers and enhanced state capacity, with salutary effects on long-run political development. States that adopted these innovations were more likely to survive, whereas those that did not succumbed to invading armies. Yet links between geopolitical competitiveness and capacity building are largely theorized and tested based on the European historical experience. A broader view of that period reveals a more complicated picture. The dominant mode of warfare throughout much of medieval and early modern Eurasia, Inner Asian cavalry warfare (IACW), favored succession institutions that selected for competent military leaders at the expense of long, secure reigns and cumulative capacity-building potential. I explore these links between IACW, succession practices, and rule duration with a novel dataset of over 300 Eurasian dynasties.

This article describes a student-led interprofessional mock trial designed to explore the legal and regulatory dimensions of pharmacy practice through collaboration between law students and pharmacy students at the University of Mississippi. Developed by the Interprofessional Education (IPE) Board, the mock trial provides an immersive learning experience that simulates real-world legal proceedings involving pharmacists. Students work in interdisciplinary teams to create original case files including fact patterns, deposition transcripts, and trial evidence — based on scenarios involving professional misconduct, medication errors, or regulatory violations. Faculty advisors from both the law and pharmacy school provide guidance to ensure accuracy and educational value. The mock trial involves multiple rounds judged by legal and healthcare professionals, offering students a dynamic platform to develop professional communication, critical thinking, and collaborative skills. Law students gain practical insight into healthcare law while pharmacy students deepen their understanding of legal accountability, compliance, and the stages of a professional liability lawsuit. This interdisciplinary mock trial approach can especially be beneficial to law schools and law students desiring practical skills in healthcare and malpractice litigation, given that — unlike medical schools’ and pharmacy schools’ clinical programs — law schools’ courses involving medical liability issues frequently do not have a clinical component offering practical experience in malpractice litigation. In sum, this article offers a descriptive account of the mock trial, highlighting its structure, implementation, and replicability.

A seven-way herbicide-resistant Palmer amaranth accession (MSR2) was identified in AR. Herbicide programs providing season-long control of this problematic accession need to be investigated, especially within the current soybean portfolio. Therefore, this study aimed to evaluate the efficacy of different soybean herbicide programs for controlling seven-way-resistant Palmer amaranth accession, MSR2, emphasizing the contribution of residual herbicides to full-season suppression. Field experiments were conducted in 2022 and 2023 in Fayetteville, AR, in an area infested by MSR2. A total of 14 herbicide programs were tested, targeting available soybean technologies that enable glyphosate, glufosinate, dicamba, and 2,4-D. All herbicide programs had one or two postemergence herbicides applied at early postemergence (EPOST) and late postemergence (LPOST). Additionally, eight herbicide programs included residual herbicides at preemergence (PRE; S-metolachlor plus metribuzin) and EPOST (S-metolachlor). A nontreated control was included for comparison. Visible Palmer amaranth control (%) was assessed at LPOST and 2 weeks after LPOST (2 WA LPOST). Palmer amaranth plants were counted from two 0.25 m2 quadrats randomly marked at each evaluation, and the density reduction (%) was calculated compared to the nontreated control. Preplanned orthogonal contrasts were conducted to compare herbicide programs with or without residual herbicides. Overall, in both years, the highest MSR2 control at both evaluations was observed in the herbicide programs that included residuals at PRE and EPOST with postemergence treatments of 2,4-D or dicamba (single or mixed). For Palmer amaranth density, herbicide programs that relied on residuals at PRE and EPOST with sequential postemergence applications of 2,4-D plus glufosinate or dicamba plus glyphosate obtained higher reduction levels. Findings reveal that the addition of residual herbicides is crucial in controlling multiple-herbicide-resistant Palmer amaranth biotypes, like MSR2. Herbicide programs based solely on postemergence applications were ineffective in controlling accession MSR2.

Biological control programmes often involve releasing natural enemies to control pests that are mobile, patchily distributed, or both. Determining the optimal dispersion of release points for biological control agents is challenging, particularly when knowledge of prey locations is imprecise or information on agent dispersal capacity is lacking. Chrysoperla rufilabris Burmeister (Neuroptera: Chrysopidae) is a commercially available green lacewing species that is often released in the larval stage as an augmentative biological control in various agroecosystems. We characterised the dispersal capacity of C. rufilabris using approximately 5-minute laboratory assays and then used our laboratory data to simulate dispersal over increasing windows of time. Larvae crawled a median of 0.5 m per 5 minutes, corresponding to median (95% confidence interval) simulated dispersal distances (metres) of 2 (0.1–10.3), 12 (0.4–59.6), and 25 (2.2–107.1) within 1, 6, and 12 hours, respectively. Our simulations suggest that larval C. rufilabris should be physiologically capable of dispersing several metres in search of prey following their release, although field dispersal capacity and behaviour could differ markedly from our laboratory observations. These findings will help to inform the dispersion of release points and underscore the ability of larval lacewings to move long distances after shipment.

Ice islands, massive tabular icebergs, are known to fracture as they drift. The footloose mechanism occurs when a large protuberance, known as a ram, develops along the submerged edge of the ice island and induces a buoyancy-driven bending stress. This study investigates the relationship between rams and footloose fracture using finite element models of ice islands with simulated underwater rams. Geospatial polygons of ice islands, derived from remote sensing imagery, were used to create three-dimensional shapes of ice islands at two thicknesses and with various ram sizes. Then, the location of maximum stress and fractures were predicted using finite element analysis (FEA) and the results were compared to remote sensing observations of the actual fractured pieces that calved from each of the 26 modelled ice islands. Accurate simulations of calving were achieved when a synthesized ram was placed along the ice island edge where the calving was observed. An empirical model was developed to predict the magnitude of stress from various ram sizes and shapes. The predictive ability of this empirical model suggests that ice island calving models can be improved and combined with drift forecasting models to help mitigate risks to offshore infrastructure and seafaring vessels.

Excrements are slippery objects of historical inquiry. They are seldom nominated, often tiptoed around. Excreta are only apparently trifling matters, yet they bear the traces of events that could not be otherwise observed. They demand consideration of the mundane and seemingly apolitical dimension of everyday life. They show up in archival trickles that, if followed up seriously, point to what political and economic histories may have swiped out of plain view. Excrements in 1859–69 Port Said convey that the Suez Canal Company may not have been at all that concerned or effective in its management of public hygiene in the encampments and towns sprouting along the canal. The Egyptian government was similarly unimpactful, but tried to tackle some of the issues confronting booming towns in Egypt and elsewhere: planning flaws, ‘miasmatic effluvia’, desertic and acquatic dumpsters and a seemingly ever-growing volume of and proximity to trash.

In this paper, we investigate asymmetric Nash bargaining in the context of proportional insurance contracts between a risk-averse insured and a risk-averse insurer, both seeking to enhance their expected utilities. We obtain a necessary and sufficient condition for the Pareto optimality of the status quo and derive the optimal Nash bargaining solution when the status quo is Pareto dominated. If the insured’s and the insurer’s risk preference exhibit decreasing absolute risk aversion and the insurer’s initial wealth decreases in the insurable risk in the sense of reversed hazard rate order, we show that both the optimal insurance coverage and the optimal insurance premium increase with the insured’s degree of risk aversion and the insurer’s bargaining power. If the insured’s risk preference further follows constant absolute risk aversion, we find that greater insurance coverage is induced as the insurer’s constant initial wealth increases.

There is a growing attention towards personalised digital health interventions such as health apps. These often depend on the collection of sensitive personal data, which users generally have limited control over. This work explores perspectives on data sharing and health apps in two different policy contexts, London and Hong Kong. Through this study, our goal is to generate insight about what digital health futures should look like and what needs to be done to achieve them. Using a survey based on a hypothetical health app, we considered a range of behavioural influences on personal health data sharing with the Capability, Opportunity, Motivation model of Behaviour (COM-B) to explore some of the key factors affecting the acceptability of data sharing. Results indicate that willingness to use health apps is influenced by users’ data literacy and control, comfort with sharing health and location data, existing health concerns, access to personalised health advice from a trusted source, and willingness to provide data access to specific parties. Gender is a statistically significant factor, as men are more willing to use health apps. Survey respondents in London are statistically more willing to use health apps than respondents in Hong Kong. Finally, we propose several policy approaches to address these factors, which include the co-creation of standards for using artificial intelligence (AI) to generate health advice, innovating app design and governance models that allow users to carefully control their data, and addressing concerns of gender-specific privacy risks and public trust in institutions dealing with data.

Drawing on extensive experience in training and supervising clinicians in enhanced cognitive behaviour therapy (CBT-E), we have identified ten prevalent misconceptions and communication gaps. These misunderstandings can impact the implementation of CBT-E and may potentially reduce its effectiveness. They include misconceptions regarding CBT-E’s flexibility, suitability for certain patient groups, real-world applicability, and alignment with anti-weight stigma principles. Such misunderstandings may make clinicians hesitant to recommend or deliver CBT-E appropriately. In the present paper, we address these misconceptions and gaps in communication and provide evidence-based guidance on CBT-E practice. We aim to enhance clinicians’ confidence in using CBT-E flexibly and appropriately, with the hope that this will improve its effectiveness.

Key learning aims

1. (1) Recognise common misconceptions and communication gaps about enhanced cognitive behaviour therapy (CBT-E) for eating disorders.

2. (2) Develop an understanding of how CBT-E can be implemented across diverse clinical settings and patient populations.

3. (3) Strengthen therapists’ confidence in delivering CBT-E flexibly while maintaining fidelity to its evidence-based framework.

A city must stand on stable ground for it to be a place of residence, sociability and peace. If so, the following is an exploration of how a city came to be in a wetland, with marshy ground, with an overflowing river, with stormy seas and with lowland liable to flooding. A wetland, the key ecology in what follows, was not easily urbanized. Indeed, in the late modern moment, taken in what follows simply as a shorthand to refer to the later nineteenth and early twentieth centuries, earth was dug, water was channelled, a river estuary was changed, reefs were affected, harbours were built and sea flow appeared to change. Yet, the manipulation of terrain of various kinds did not create a space which was a smooth site of connection and meeting for colonists and colonized. Rather, nature obstructed these fluid experiments of engineering in various ways. Simultaneously, the people who congregated at these sites forged new ways of considering their status in the ‘new imperial’ colony. The colonial reorganization of nature ran parallel with colonial attempts at arranging people; yet, both nature and people did not yield automatically to the hand of this new regime of modelling and segmenting environments in and around the sea and land.

The best strategy for getting away with lying is to lie small by only deviating from the truth as much as is necessary to achieve the intended deception. Why then do some demagogues lie big? One set of views has it that the only difference between small and big lies concerns the size of their contents. They claim that the purpose of big lies is the formation of false beliefs in their literal contents via counterfactual reasoning, conspiracy theories, or the illusory truth effect. The negative part of this paper questions these accounts. The positive part proposes a different explanation for why demagogues use big lies and argues that big lies may serve three distinct purposes for demagogues: they reinforce their supporters’ deeply held beliefs, test the loyalty of their close followers, or publicly demonstrate the demagogue’s power. For a big lie to serve these purposes, genuine belief in the lie is not required – in fact, few are likely to believe it. What matters is that the demagogue’s supporters publicly endorse the lie. We contend that they do so, either because they interpret them as motivational statements or use them to express or justify their shared emotions or convictions.