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The extraction of salt from seawater is one of the most direct ways of exploiting the marine environment. In the historic period, the production of salt formed an important component of the global economy. In temperate locations such as Ireland, archaeological evidence of extracting salt from seawater comprises a range of expressions and locations dictated by the energy resource required. This article presents the results of the first archaeological excavations of a saltworks complex in Ireland, at two sites that produced salt from the seventeenth to the nineteenth centuries. Partial excavation of a seventeenth-century complex at Ballyreagh Lower revealed a crude structure that was not capable of supplying all of the area’s needs. By contrast, the eighteenth- and nineteenth-century pan site at Broughanlea shows a step-change in scale, efficiency, and infrastructure that reflects new economic networks in a country predominantly relying on agricultural produce.
The mechanical miracle was always man-made, but manufacturing the marvellous always exceeded epistemological boundaries and thus attested to divine interference and presence. The delicate balance between these elements was not always easy to maintain, and the relation between technology and the gods came under critical examination, especially in the intense religious choice and competition of the Imperial period. The issue of religious forgery through technological means is central to Lucian’s Alexander and forms the focus of Chapter 7. The Alexander demonstrates the various ways that technical knowledge is integral to the act of miracle-making. turning the text, in spite of its satiric self, into a manual for these very same purposes. A comparison with Hippolytus’ Refutation of All Heresies not only attests to the broader use of technological miracles in ancient contexts, but also exemplifies how technology could be configured differently within a religion’s theological truths.
The Freedom of Information Act was imagined as a tool for the press. Journalists, it was thought, would use FOIA to unlock government files and inform the public to further democratic accountability. But, for the press, intractable delays and unchecked over-withholding render FOIA’s promise too often illusory. This chapter suggests structural reforms that would deliver FOIA to the press by making it work for journalists. First, it suggests opportunities for government to serve non-oversight FOIA users through other means, freeing up resources to better serve the news media. Second, it argues that creating an administrative oversight model rather than relying on judicial review would better vindicate the rights of news media frustrated with government noncompliance with the law. The chapter concludes by describing how these measures not only would improve FOIA’s functioning, but could transform FOIA into a tool that acts as true public support for and investment in journalistic efforts at a time that the news media industry faces existential challenges.
The American press is facing a perilous moment. A confluence of economic, cultural, technological, and political shifts has abruptly upended our longstanding sense of how the news media operates. Suddenly, it seems, these sweeping changes have realigned the traditional relationships between and among democracy, newsgathering, and press freedom, prompting new questions about what it means to value and support a free press in the United States.
Social media and the internet are the most important changes in communication since the development of the printing press. They democratize the ability to reach a mass audience, but they can also quickly spread harmful information and threaten the viability of traditional media that are essential for newsgathering. Courts have thus far largely approached these media by applying existing doctrines of freedom of the press and freedom of speech. But these doctrines are often, though not always, inadequate to deal with the issues posed by social media and the internet. It is important to identify those areas where traditional doctrines are inadequate and to begin to develop new First Amendment and statutory approaches.
Despite the tremendous waste due to Medicaid fraud and abuse, not much scholarly attention has been paid to state variation in the investigations. This study explores the factors influencing variations in Medicaid fraud and abuse investigations across U.S. states, with a focus on the role of All-Payer Claims Databases (APCDs) and state political context. To test the impacts of price transparency and political factors, we built a dataset spanning eight years (2014 to 2021) and covering 49 states, excluding North Dakota. We then conducted a fixed-effects panel data analysis based on the results of a Hausman test. The impact of APCDs is statistically significant, suggesting its association with more fraud and abuse detection. A Democratic governor tends to be associated with fewer Medicaid fraud investigations. The findings of this research demonstrate that the operation of APCDs can influence the number of Medicaid fraud investigations conducted by Medicaid Fraud Control Units (MFCUs). Moreover, political discretion plays a role in the number of state investigations into Medicaid fraud and abuse.
This chapter examines how government entities determine who is a journalist to allocate resources under conditions of scarcity and to assure that the press can conduct its functions without undue government regulation and interference. Using a new dataset of 172 laws, rules, and procedures that different government entities have used to define the press, it describes the most common tests government entities use for identifying journalists and compares them to each other. The chapter then makes four normative recommendations about the tests government entities should use to define journalists. First, government entities should have explicit and meaningful standards for press exceptionalism. Second, most press exceptionalism should be limited to professional journalists who regularly produce news stories or commentary. Third, press exceptionalism should not turn on the type of technology used to communicate. Fourth, government entities should continue to have the power to grant press exceptionalism to “bona fide correspondents of repute in their profession” so long as they do not engage in viewpoint discrimination.
Press subsidies and “public stations” such as NPR and PBS already play important roles in informing the American public, and public funding of the news is more crucial now than ever. Given these facts, it is important to explore the First Amendment limits that do or should apply to content-based funding conditions on news reporting. Elsewhere, I have argued that an anti-distortion principle can be discerned in parts of the First Amendment case law involving government subsidies and forums. This principle constrains the government from restricting speech in a manner that would distort the nature of a communicative good that it purports to provide. The principle, however, is underdeveloped. Judicial precedent says little about why anti-distortion matters from a free speech perspective, and it also fails to provide much guidance as to how to determine the nature of a forum or institution. These shortcomings make the anti-distortion principle vulnerable to misuse and especially to being overtaken by an expanding government speech doctrine. I seek to make headway toward filling these gaps in this chapter, focusing on the example of state-subsidized journalism.
Hospital-acquired pressure injuries (HAPIs) are a preventable source of patient harm, contributing to morbidity, mortality, and billions in healthcare costs. Risk assessment tools rely on subjective evaluation and may not accurately capture real-time mobility. Existing technologies have not been widely adopted and have failed to significantly reduce HAPI rates. Our study explores the feasibility of a novel, wireless mattress-attachable motion sensor designed for continuous mobility monitoring in hospitalized patients.
Methods:
Sensor accuracy was first validated against video analysis in three healthy volunteers. A single-arm prospective cohort study was then conducted in hospitalized patients. A motion sensor was attached to each patient’s bed to continuously record movement. Sensor-derived mobility data were compared with nursing-assessed mobility scores and other patient characteristics. Simulated immobility alerts were generated based on periods of inactivity.
Results:
The sensor’s movement detection strongly correlated with video-based analysis in three healthy volunteers (r = 0.89, 95% CI [0.51, 0.99]). Forty-seven patients were enrolled with an average of 9.7 movements/hour and average recording duration of 22.9 hours. No significant differences in age, comorbidities, or nursing mobility scores were observed between high- and low-movement groups. Simulated immobility alerts identified 15 patients who would have triggered a notification, predominantly those with lower movement and BMI.
Conclusions:
The sensor system provides objective mobility data and overcomes limitations of current assessment tools. These findings support its potential role in pressure injury prevention and highlight key areas for future clinical integration.
For which choices of $X,Y,Z\in \{\Sigma ^1_1,\Pi ^1_1\}$ does no sufficiently strong X-sound and Y-definable extension theory prove its own Z-soundness? We give a complete answer, thereby delimiting the generalizations of Gödel’s second incompleteness theorem that hold within second-order arithmetic.
Understanding the process of seeking long-term care (LTC) in old age helps identify what contributes to delays and inequalities in accessing it. Current research highlights the roles of individual and policy factors, but pays little attention to how these factors interact. This qualitative study aims to fill this gap by identifying facilitating factors and mechanisms in the initial approaches to LTC policies. It examines care-seeking in two towns in northern Italy, where a demand-based approach, high fragmentation and poor coordination pose significant challenges. In a bottom-up approach to policy implementation, the experiences and perspectives of both care-seekers and professionals are integrated. Indeed, the data collection (April 2023–May 2024) triangulates 100+ hours of participant observation and semi-structured or vignette-based interviews. The study finds that care-seeking entails three interrelated steps: recognising care needs, being willing to receive LTC, and reaching an entry point. At each stage, three mechanisms operate at intrapersonal and interpersonal levels and can be promoted by LTC policies to facilitate care-seeking, especially for those experiencing barriers. The mechanisms are (1) taking the initiative to raise awareness of care needs and share information about available solutions; (2) fostering trust between professionals and care-seekers, who often rely on confidential relationships to discuss care arrangements; and (3) combining primary information with tailored guidance on the local offer, enabling care-seekers to make informed decisions. The findings provide actionable insights into policies and practices that facilitate care-seeking, and offer a conceptual framework that explains the driving factors behind this process and its mechanisms.
The Mountain West Clinical & Translational Research Infrastructure Network (MW CTR-IN), hosted at the University of Nevada, Las Vegas, and supported by the National Institute of General Medical Sciences at the National Institutes of Health, began as a partnership among 13 major U.S. public universities across 7 MW Institutional Development Award (IDeA) States, stretched across 1/3rd of the U.S. land mass and encompassed almost 1/3rd of all IDeA States. The mission of the MW CTR-IN is to build and enhance infrastructure capacity to increase CTR in the MW region. This case study describes the Clinical Pilot Projects Program (CP3) processes and tools used to support this objective through its selection of applications to fund, supporting applicants and funded investigators, and providing guidance and oversight during the funding period. The MW CTR-IN has funded 152 single-investigator pilot projects, 7 multisite pilot projects, 13 developmental team grant projects, and 14 community-engaged projects. These projects have also led to over $92M in extramural grant funding, 308 presentations, and 1,124 peer-reviewed publications. The methodologies and expertise we gained can assist other CTR networks in developing efficient pilot project programs that have been evaluated and demonstrated to improve CTR initiatives, especially through the use of a custom portal.
Chapter 8 explores how technologies can be used to imitate and challenge the gods. Lucian’s Icaromenippus is analysed first in terms of how the text reimagines divine and human realms as mechanically bridgeable, and then for the possible theomachic implications of the protagonist’s flight. Lucian’s Icaromenippus demonstrates that technologies are integral to navigating the junction between human and divine, but there are also hints that this can be manipulated in ways that pose threats to the existing divine order. The suggestion that Menippus’ actions mark him out as a pseudo or fake god provides a useful entry point for discussion of the issue of technology as a tool for theomachy more generally in the Greek cultural imagination including in figures like Salmoneus.
The Central Indian Tectonic Zone (CITZ) formed during the Mesoproterozoic north-south collision between the Bundelkhand and Bastar Cratons. The origin of the deformation of the Late-Paleoproterozoic Lower Vindhyan Group (LVG), which occurs in the sedimentary basin adjacent to and north of the CITZ, is debated, with previous researchers supporting synsedimentary processes. To investigate the possibility of a collisional origin, we collected and analysed litho-structural data from the LVG and the Mid-Paleoproterozoic Mahakoshal Supracrustal belt (MSB), which lies within the CITZ. We report, for the first time, diverse structures from the LVG, such as various types of buckle folds including kink-folds, reverse faults and, most importantly, 5–20 meters long outcrops of pop-up structures, which are commonly encountered in fold-thrust belts. However, the adjacent MSB showes relatively complex polyphase deformation with three major deformation stages that produced: (i) E-W-trending regional foliation and diversely oriented folds (D1), (ii) E-W oriented steep folds associated with a large-scale shear zone along the Son-Narmada South Fault (D2) and (iii) local cross-folds (D3). Based on our field observations in the LVG and the MSB, we additionally propose and substantiate, through geological cross-sections and a kinematic model, that the LVG deformed between the D3 and the deposition of the Upper Vindhyan Group. Unlike previous studies, which attributed the deformation structures of the LVG to seismic or soft-sediment processes, our findings confirm that the Mesoproterozoic collision along the CITZ deformed the LVG as the deformation front, aided by detachment folding, propagated into it.
Fossil crinoids from the Ordovician–Silurian boundary interval (~ 443.8 million years) are known from relatively few locations worldwide due to a near-global unconformity that formed from eustatic sea-level fall. This rock record bias has severely hindered study of the timing, magnitude, biogeographic signature, and extinction mechanisms of the Late Ordovician mass extinction (LOME). Crinoids underwent a significant faunal transition between the Late Ordovician and early Silurian that resulted in major shifts between dominant clades, but the driving mechanisms and precise timing of this transition remain unclear. Anticosti Island (Québec, Canada) preserves one of the few Late Ordovician–early Silurian successions of highly fossiliferous, shallow-water rocks that includes the Ordovician–Silurian boundary, making fossils from this region instrumental for better understanding the LOME and Ordovician–Silurian crinoid faunal turnover.
Here we report on a new flexible crinoid, Anticosticrinus natiscotecensis n. gen. n. sp., from the Ordovician–Silurian boundary of Anticosti Island. Phylogenetic analysis of Middle Ordovician–early Silurian flexibles recovers Anticosticrinus natiscotecensis n. gen. n. sp. as a member of family Anisocrinidae. We quantified stratigraphic age uncertainty of A. natiscotecensis using a Bayesian approach for estimating tip-occurrence times in a phylogenetic context. Although results do not provide unequivocal support for the specimen’s precise stratigraphic age, the maximum a posteriori estimate indicates a late Hirnantian age. Regardless of its true age, recognition of Anticosticrinus natiscotecensis provides additional data for evaluating the timing of extinction in flexible crinoids, their diversification and increasing dominance during the Silurian, and crinoid faunal turnover between the Ordovician and Silurian.
Dismantling the simplistic equation of wealth, political power and social rank in the Roman empire, this study presents a new reconstruction of the distribution of elite wealth in Roman Italy based on an innovative combination of economic modelling and archaeological and epigraphic evidence. Bart Danon follows a quantitative approach to show that the Roman economic elite was in fact much larger than the political and social elites. The many wealthy households outside the socio-political orders fuelled intense competition for junior political offices, while paradoxically strengthening the resilience of the Roman political system. By challenging long-held assumptions, this book offers fresh perspectives on the complexities of wealth and power in ancient Rome. This title is also available as Open Access on Cambridge Core.
Motivated political reasoning is a central phenomenon in political psychology, but no scholarly consensus exists as to its cause. In one influential account, motivated political reasoning is caused by goals to control emotional states. This explanation is often assumed, but has rarely been tested empirically. It implies, I argue, that individual differences in how people control their emotions (i.e., in emotion regulation strategies) should influence outcomes caused by motivated political reasoning, such as perceptual divides over politically relevant facts. I hypothesize such perceptual divides to be negatively associated with emotional acceptance and positively associated with cognitive reappraisal—two key emotion regulation strategies. I test these hypotheses in the specific context of reasoning about facts related to immigration politics in Denmark using a mix of experimental and cross-sectional survey data from three nationally representative samples of the Danish voter population (total N = 4186). In the specific context of the present study, the results do not support the often-assumed idea that motivated political reasoning is driven by efforts to regulate emotions. These findings raise important questions about the conditions under which emotion regulation might play a role in motivated political reasoning.
This study explores the potential of applying machine learning (ML) methods to identify and predict areas at risk of food insufficiency using a parsimonious set of publicly available data sources. We combine household survey data that captures monthly reported food insufficiency with remotely sensed measures of factors influencing crop production and maize price observations at the census enumeration area (EA) in Malawi. We consider three machine-learning models of different levels of complexity suitable for tabular data (TabNet, random forests, and LASSO) and classical logistic regression and examine their performance against the historical occurrence of food insufficiency. We find that the models achieve similar accuracy levels with differential performance in terms of precision and recall. The Shapley additive explanation decomposition applied to the models reveals that price information is the leading contributor to model fits. A possible explanation for the accuracy of simple predictors is the high spatiotemporal path dependency in our dataset, as the same areas of the country are repeatedly affected by food crises. Recurrent events suggest that immediate and longer-term responses to food crises, rather than predicting them, may be the bigger challenge, particularly in low-resource settings. Nonetheless, ML methods could be useful in filling important data gaps in food crises prediction, if followed by measures to strengthen food systems affected by climate change. Hence, we discuss the tradeoffs in training these models and their use by policymakers and practitioners.