We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Modern accounts of the great war between the Athenians and the Spartans in the late fifth century BC have simply reanalysed the gripping analysis of military and political events given by Thucydides. But a great deal of other evidence survives from this best-known of all periods of Athenian history. This book exploits that evidence and our rich knowledge of ancient Greek society to reveal the Peloponnesian War as not just an event but an experience that reshaped Athenian society as it was happening. It looks again not merely at the causes of the war and its military and political narratives, but at how the war reshaped the world, for men, for women, and even for the gods. This book not only re-illuminates the most dramatic years of classical Athenian history, it reshapes what it is to write history.
The rise of artificial intelligence is challenging the foundations of intellectual property. In AI versus IP: Rewriting Creativity, science writer Robin Feldman offers a balanced perspective as she explains how artificial intelligence (AI) threatens to erode all of intellectual property (IP) – patents, trademarks, copyrights, trade secrets, and rights of publicity. Using analogies to the Bridgerton fantasy series and the Good Housekeeping 'Seal of Approval,' Professor Feldman also offers solutions to ensure a peaceful coexistence between AI and IP. And if you've ever wanted to understand just how modern AI programs like ChatGPT, Claude, Gemini, Grok, Meta AI, and others work, AI versus IP: Rewriting Creativity explains it all in simple language, no math required. AI and IP can coexist, Feldman argues, but only if we fully understand them and only with considerable effort and forethought.
Late Antiquity marked one of the most significant transitions in European history-one that saw the rise of Christianity and the transformation of the classical Mediterranean world of ancient Rome. The richness of its art and the wealth of its archaeological remains have increasingly been recognised in recent decades and new discoveries and ongoing research are currently altering the ways in which we perceive the period. These two volumes provide a wide-ranging guide to the art and archaeology of the period 300-700 CE. Key monuments and artifact-types are discussed and placed in their historical contexts, but significant attention is also paid to the main cities, regions and peoples playing a prominent role in the history of the period as well as to some key issues and debates in its study. The chapters are written by leading experts and will be invaluable for any student or scholar interested in the period.
Late Antiquity marked one of the most significant transitions in European history-one that saw the rise of Christianity and the transformation of the classical Mediterranean world of ancient Rome. The richness of its art and the wealth of its archaeological remains have increasingly been recognised in recent decades and new discoveries and ongoing research are currently altering the ways in which we perceive the period. These two volumes provide a wide-ranging guide to the art and archaeology of the period 300-700 CE. Key monuments and artifact-types are discussed and placed in their historical contexts, but significant attention is also paid to the main cities, regions and peoples playing a prominent role in the history of the period as well as to some key issues and debates in its study. The chapters are written by leading experts and will be invaluable for any student or scholar interested in the period.
The key question in mechanical ventilation is whether invasive or non-invasive is the option being applied to the individual patient. In order to answer this question, it is necessary to recognize the pathophysiology and understand which physiological system has failed and needs to be supported. In this chapter we outline the optimal treatment options for respiratory insufficiency type 1 and 2. The reader will be made familiar with the basic principles of non-invasive and invasive ventilation. The aim is to arbitrate an overview as well as basic flowchart for the treatments depending on which of the aforementioned respiratory insufficiencies are to be treated. The chapter also comprises a quick guide to the initial ventilator settings.
The Civil War pension system was the most comprehensive social policy in the late nineteenth-century United States. Between 1880 and 1910, approximately a quarter of the federal government’s expenditure was devoted to this enormous system of military benefits. Scholars have typically charted the development of the pension system through a series of legislative watersheds, detailing its gradual expansion and liberalization. Yet, as this article shows, this was not the only path that the pension system could have followed. By investigating Commissioner of Pensions John Bentley’s five-year administration of the Pension Bureau during the late 1870s, this article explores a story of suppressed – rather than successful – state-building. While Bentley attempted to administer the pension system according to the shibboleths of the contemporary civil service reform movement, the nation’s veterans and their allies pursued a pension system predicated upon an incipient theory of veterans’ entitlements and rights. The Civil War pension system, this article thus reminds us, was not simply the sign of a precocious nineteenth-century state, but the product of a specific type of state, one that reflected a preference for distributive policies and decentralized administration rather than administrative centralization and broad grants of bureaucratic discretion.
It is now accepted that social factors affect not only onset but also mental health treatment outcomes. One such factor is financial difficulty. Within National Health Service (NHS) Talking Therapies, problem debt has been shown to interfere significantly with recovery from mental health problems, estimated as 22% versus 50% recovered with no problem debt. One solution is a combined money advice and psychological therapy intervention to improve treatment outcomes.
Aims
The aim of the current study was to trial a combined money advice and psychological therapy service within NHS Talking Therapies, to ascertain its feasibility and acceptability.
Methods
This study employed a mixed methods case series of individuals attending high-intensity cognitive–behavioural treatment who were provided with a combined intervention (money advice service plus NHS Talking Therapies). Acceptability and feasibility were evaluated through interviews, and benefit was assessed from comparisons of routinely collected symptom measures and compared to historical recovery estimates.
Results
Some 32 participants, with similar gender distribution but more representation from ethnic minorities, were recruited from NHS Talking Therapies. One-third demonstrated complete recovery on both depression and anxiety, while half showed symptom improvement and modest improvements on the financial outcomes measure. Our interviews with patients, therapists and money advisors suggested the combined intervention was acceptable and beneficial, but that money worries should be identified earlier.
Conclusions
The combined service is acceptable, accessible and could deliver benefit, even in the short term, to those with mental health and debt problems.
Various kinds of sustainable finance have grown rapidly after the 2015 Paris Agreement. But whether this allegedly “sustainable” way of investing can actually fulfill the crucial task of facilitating the mitigation of climate change depends very much on the concrete business schemes and investment practices that are adopted. This chapter conceptualizes ESG (environmental, social, and governance) as the infrastructure that underpins “sustainable” investing. It argues that ESG constitutes a particular set of market devices – data, ratings, and indices – that define the logic, structure, and outcomes of sustainable investing. Having historically emerged as market-driven private standards for governing how to invest “sustainably,” ESG investing was, as this chapter demonstrates, guided by the ways in which a small set of private actors defines its infrastructural arrangements. Consequently, a preference for a market-friendly and one-sided conception of sustainability exclusively focused on risks to investors’ portfolios (“single materiality”) was implemented by the actors that defined de facto standards. This setup of ESG creates what can be called an “infrastructural lock-in,” whereby this particular conception of “sustainable” investing – which is not utilizing all available transmission mechanisms to actively advance sustainability – becomes the baseline and the common standard for “sustainable” finance.
Around 1000 years ago, Madagascar experienced the collapse of populations of large vertebrates that ultimately resulted in many species going extinct. The factors that led to this collapse appear to have differed regionally, but in some ways, key processes were similar across the island. This review evaluates four hypotheses that have been proposed to explain the loss of large vertebrates on Madagascar: Overkill, aridification, synergy, and subsistence shift. We explore regional differences in the paths to extinction and the significance of a prolonged extinction window across the island. The data suggest that people who arrived early and depended on hunting, fishing, and foraging had little effect on Madagascar’s large endemic vertebrates. Megafaunal decline was triggered initially by aridification in the driest bioclimatic zone, and by the arrival of farmers and herders in the wetter bioclimatic zones. Ultimately, it was the expansion of agropastoralism across both wet and dry regions that drove large endemic vertebrates to extinction everywhere.
To identify trajectories of Indonesian children and adolescents BMI-z scores between 1993 and 2014, examine whether the pattern differs by sex, and assess associations with host, agent and environmental factors.
Design:
Longitudinal data were from the Indonesian Family Life Survey with up to five measurements of height and weight. Group-based trajectory models investigated change in BMI-z score across time; differences by sex were investigated using random effect (mixed) models. The association between the trajectories and host, agent and environmental factors were examined using multinomial logistic regression.
Setting:
Thirteen provinces in Indonesia.
Participants:
Indonesian children and adolescents aged 6-18 years (n=27 394 for BMI-z trajectories; n=8805 for risk factor analyses).
Results:
Mean BMI-z score increased from −0.743 standard deviation (SD) in 1993 to −0.414 SD in 2014. Four distinct trajectory groups were estimated with mean BMI-z increasing more rapidly in the most recent time periods. One group (11.7% of participants) had a mean BMI-z entirely within the moderately underweight range; two had trajectories in the normal range; and one (5.6%) had a mean BMI-z starting in the overweight range but within the obesity range by 2014. There were differences in trajectory groups by sex (p<0.001). Those born in 2000s, frequent consumption of meat, fast foods, soft drinks, and fried snacks, and living in urban areas were associated with rapid gain weight.
Conclusions:
These trajectories highlight the double burden of malnutrition and suggest that the prevalence of overweight and obesity is likely to increase substantially unless public health interventions are implemented.
Acute respiratory distress syndrome (ARDS) is a critical lung condition caused by trauma or infection. This study explores the development and evaluation of human lung phantoms to investigate the feasibility of using microwave frequencies for ARDS detection. Both physical semisolid phantoms and their numerical models were developed in inflated and deflated states to replicate the dielectric properties of healthy and affected lungs. Three phantom sets with varying water and air content were fabricated to simulate different stages of respiratory distress. The geometric parameters of the phantoms were derived from CT scans of 166 ARDS patients. Dielectric permittivity and conductivity were measured using a Keysight N1501A dielectric probe over a 0.5–13 GHz range, showing strong agreement with IFAC’s reference data. To validate the models, horn antennas operating between 8.2–12.4 GHz were used to measure S-parameters (S11 and S21) in both physical and numerical phantoms. The results demonstrated consistent changes in transmission and reflection characteristics corresponding to variations in lung volume and dielectric properties. These findings support the potential of microwave imaging as a non-invasive tool for early ARDS detection by effectively distinguishing between healthy and distressed lung states based on measurable electromagnetic response.
Whilst thoracic myelopathy secondary to degenerative disease is relatively uncommon, left untreated it carries significant morbidity. It is thus of critical importance that patients are correctly diagnosed and managed expediently and effectively. Unfortunately, the management of thoracic myelopathy can be challenging, not least due to the technical difficulty accessing the site of compression and indeed optimum management is also debated. In this Element the authors present background, clinical features, diagnosis, and pitfalls and then a handy management algorithm for this critical neurosurgical condition.
It remains unclear which individuals with subthreshold depression benefit most from psychological intervention, and what long-term effects this has on symptom deterioration, response and remission.
Aims
To synthesise psychological intervention benefits in adults with subthreshold depression up to 2 years, and explore participant-level effect-modifiers.
Method
Randomised trials comparing psychological intervention with inactive control were identified via systematic search. Authors were contacted to obtain individual participant data (IPD), analysed using Bayesian one-stage meta-analysis. Treatment–covariate interactions were added to examine moderators. Hierarchical-additive models were used to explore treatment benefits conditional on baseline Patient Health Questionnaire 9 (PHQ-9) values.
Results
IPD of 10 671 individuals (50 studies) could be included. We found significant effects on depressive symptom severity up to 12 months (standardised mean-difference [s.m.d.] = −0.48 to −0.27). Effects could not be ascertained up to 24 months (s.m.d. = −0.18). Similar findings emerged for 50% symptom reduction (relative risk = 1.27–2.79), reliable improvement (relative risk = 1.38–3.17), deterioration (relative risk = 0.67–0.54) and close-to-symptom-free status (relative risk = 1.41–2.80). Among participant-level moderators, only initial depression and anxiety severity were highly credible (P > 0.99). Predicted treatment benefits decreased with lower symptom severity but remained minimally important even for very mild symptoms (s.m.d. = −0.33 for PHQ-9 = 5).
Conclusions
Psychological intervention reduces the symptom burden in individuals with subthreshold depression up to 1 year, and protects against symptom deterioration. Benefits up to 2 years are less certain. We find strong support for intervention in subthreshold depression, particularly with PHQ-9 scores ≥ 10. For very mild symptoms, scalable treatments could be an attractive option.
Current approaches to identifying individuals at risk for psychosis capture only a small proportion of future psychotic disorders. Recent Finnish research suggests a substantial proportion of individuals at risk of psychosis attend child and adolescent mental health services (CAMHS) earlier in life, creating important opportunities for prediction and prevention. To what extent this is true outside Finland is unknown.
Aims
To establish the proportion of psychotic and bipolar disorder diagnoses that occurred in individuals who had attended CAMHS in Wales, UK, and whether, within CAMHS, certain factors were associated with increased psychosis risk.
Method
We examined healthcare contacts for individuals born between 1991 and 1998 (N = 348 226), followed to age 25–32. Using linked administrative healthcare records, we identified all psychotic and bipolar disorder diagnoses in the population, then determined the proportion of cases where the individual had attended CAMHS. Regression analyses examined associations between sociodemographic and clinical risk markers with psychotic and bipolar disorder outcomes.
Results
Among individuals diagnosed with a psychotic or bipolar disorder, 44.78% had attended CAMHS (hazard ratio = 6.28, 95% CI = 5.92–6.65). Low birth weight (odds ratio = 1.33, 95% CI = 1.15–1.53), out-of-home care experience (odds ratio = 2.05, 95% CI = 1.77–2.38), in-patient CAMHS admission (odds ratio = 1.49, 95% CI = 1.29–1.72) and attending CAMHS in childhood (in addition to adolescence; odds ratio = 1.16, 95% CI = 1.02–1.30) were all within-CAMHS risk markers for psychotic and bipolar disorders.
Conclusions
A substantial proportion (45%) of future psychotic and bipolar disorder cases emerge in individuals who had attended CAMHS, demonstrating large-scale opportunities for early intervention and prevention within CAMHS.
A new fossil of Lycidae, Domipteron gaoi n. gen. n. sp., is described from Miocene Dominican amber. The fossil exhibits a combination of characteristics found in both Calopterini and Eurrhacini. To determine its systematic placement, we conducted phylogenetic analyses based on adult morphological features. Our analyses indicate that the new fossil belongs to Calopterini.
Addresses the role of structure in semantic analysis from the perspective of theories of meaning using rich theories of types. Also relates the theory of frames to these type theories as introducing, to some extent, similar structure into semantic analysis. The authors show how a structured approach is necessary to appropriately analyse phenomena in areas as diverse as lexical semantics and the semantics of attitudinal constructions referring to psychological states. In particular, these are: polysemy taken together with copredication, and attitudes such as belief and knowledge. The authors argue that the very same structure required to define a rich system of types enables them to adequately analyse both of these phenomena, thus revealing similarities in two otherwise apparently unrelated topics in semantics. They also argue that such theories facilitate a semantic theory oriented towards a psychological and contextually situated view of meaning. This title is also available as open access on Cambridge Core.
Emerging wildlife pathogens often display geographic variability due to landscape heterogeneity. Modeling approaches capable of learning complex, non-linear spatial dynamics of diseases are needed to rigorously assess and mitigate the effects of pathogens on wildlife health and biodiversity. We propose a novel machine learning (ML)-guided approach that leverages prior physical knowledge of ecological systems, using partial differential equations. We present our approach, taking advantage of the universal function approximation property of neural networks for flexible representation of the underlying dynamics of the geographic spread and growth of wildlife diseases. We demonstrate the benefits of our approach by comparing its forecasting power with commonly used methods and highlighting the obtained insights on disease dynamics. Additionally, we show the theoretical guarantees for the approximation error of our model. We illustrate the implementation of our ML-guided approach using data from white-nose syndrome (WNS) outbreaks in bat populations across the US. WNS is an infectious fungal disease responsible for significant declines in bat populations. Our results on WNS are useful for disease surveillance and bat conservation efforts. Our methods can be broadly used to assess the effects of environmental and anthropogenic drivers impacting wildlife health and biodiversity.