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This article examines socialist globalization from the perspective of technical-labor internationalism in Mozambique, focusing on the final stage of the Cold War. First, it analyzes the four main pathways through which international technicians arrived in Mozambique: Latin American exile, socialist intergovernmental cooperation, European postcolonial humanitarianism, and African regionalism. It offers a cosmopolitan perspective on the relations that socialist Mozambique forged with the world. It then provides an inventory of the models of integration of these international technicians into the Mozambican state apparatus, presenting a framework emphasizing organizational rather than ideological aspects. It concludes that, while these paths were singular, they were not mutually exclusive. More importantly, they were instrumental in shaping the political affinities and frictions between international technicians in that cosmopolitan universe.
This study assesses the validity and reliability of empirical strategies derived from the study of European populisms by applying them to the case of Canada. Using a dataset of 5,845 original tweets by Canadian federal party leaders in 2022, we compare the prevalence and intensity of three characteristic populist discourses: “people-centrism,” “anti-elitism” and “exclusion of others.” Our results raise questions about the role of party ideology in shaping populist communication styles, by revealing a convergence among opposition leaders around primarily economic representations of the “people” and political portrayals of the “elite.” We also confirm the hunch that Canada is “exceptional” with respect to the prevalence of “exclusion of others,” demonstrating that this discourse is rare and has not been embraced by mainstream politics. Finally, the study adds to the skepticism about the value of “people-centrism” to operationalizing populism, given the widespread nature of this discourse.
We report the surgical outcomes and functional results in a pediatric population following the use of the laryngotracheal LT-moldR prosthesis to treat complex glottic and subglottic stenosis.
Methods
A retrospective observational study in children following open and endoscopic surgical treatment for LT stenosis.
Results
Among 46 patients, 91% received LT-mold during an open surgery and 9% had it following an endoscopic procedure. 93% patients were successfully decannulated and 80% needed stent placement for longer than 2 months. Mean time to decannulation was 229 days. Currently, 83% patients have normal breathing, 67% patients have normal voice or mild dysphonia and swallowing outcomes have remained similar in the pre- and post-operative period.
Conclusion
The LT-mold provided an adequate airway stenting, enabling decannulation in most patients with advanced grades of laryngotracheal stenosis. Duration of stenting and time to decannulation showed no correlation with the grade of stenosis or patient comorbidities. Functional results were optimal.
This study investigates phonological and phonetic details of disjunctive declaratives (ddcls) and alternative questions (altqs) in Arabic. The aim of the phonological and phonetic analyses of these syntactically identical utterances is to find out the cues that are responsible for the disambiguation. Consequently, a production study eliciting ddcls and altqs was run with 20 participants producing 160 utterances (80 ddcls and 80 altqs). Findings reveal that ddcls and altqs are similar in having a global rise-fall contour, but differ in the phonetic implementation of the fall, since minimum F0 values are significantly higher in altqs than in ddcls, suggesting that there is a fall to mid in the former (proposing !H%) and a fall to low in the latter (L%). There are also significant phonological differences in the accentual features between both sentence types, i.e., the conjuncts are always accented in altqs, but they are deaccented in ddcls. The findings are a contribution to the prosody-meaning literature, showing the importance of prosody for syntactic disambiguation. The findings are used to propose a theory for the disambiguation of disjunctive sentences.
Disasters disproportionately affect vulnerable populations, necessitating specialized support through welfare shelters, which offer tailored care for those with special needs. Despite their importance, comprehensive reporting on welfare shelter operations during disasters remains limited. This study aimed to analyze the establishment and operation of a welfare shelter in Wajima City, Japan, following the 2024 Noto Peninsula Earthquake, providing insights into operational processes.
Methods
The research presents a first-hand narrative account of a welfare shelter’s operation over a 3-month period. The authors, directly involved in key roles, structured the narrative around 3 phases: Initial (January 1-7, 2024), Operational (January 8-March 31, 2024), and Withdrawal (March-April 2024).
Results
Key findings include challenges in personnel management and resource procurement during the initial phase, implementation of continuous care systems and health management in the operational phase, and difficulties in securing relocation sites for evacuees during the withdrawal phase. Challenges in maintaining nutritional balance and managing infectious diseases were observed throughout the shelter’s operation. Implementing flexible staffing strategies may serve as a practical means to support sustained welfare shelter management.
Conclusions
This case study highlights the importance of pre-disaster planning, broad regional collaboration, and adaptability and continuity in welfare shelter management. The study offers valuable lessons for improving welfare shelter operations and emphasizes the need for comprehensive disaster preparedness strategies including long-term care and relocation planning for vulnerable populations.
What makes lexical tones challenging for second language (L2) learners? Several recent studies suggest that two phonological universals, the Obligatory Contour Principle and the Tonal Markedness Scale, may constrain the L2 acquisition of Mandarin lexical tones, regardless of learners’ first language. We assessed the role of these universals in L2 tonal acquisition by learners from a non-tonal background (L1 Portuguese). We implemented a perceptual testing protocol, which contained a number of methodological and analytical improvements relative to previous studies, including the use of Bayesian mixed-effects models to assess evidence for null hypotheses. The results provided evidence for the null effects of both phonological universals. Instead, a clear determinant of tonal identification accuracy was the participants’ pitch acuity, suggesting that domain-general auditory processing underlies the learning of L2 phonological categories. All materials, data and code are publicly available in the OSF repository at https://osf.io/ezadw.
Network meta-analysis (NMA) enables simultaneous assessment of multiple treatments by combining both direct and indirect evidence. While NMAs are increasingly important in healthcare decision-making, challenges remain due to limited direct comparisons between treatments. This data sparsity complicates the accurate estimation of correlations among treatments in arm-based NMA (AB-NMA). To address these challenges, we introduce a novel sensitivity analysis tool tailored for AB-NMA. This study pioneers a tipping point analysis within a Bayesian framework, specifically targeting correlation parameters to assess their influence on the robustness of conclusions about relative treatment effects. The analysis explores changes in the conclusion based on whether the 95% credible interval includes the null value (referred to as the interval conclusion) and the magnitude of point estimates. Applying this approach to multiple NMA datasets, including 112 treatment pairs, we identified tipping points in 13 pairs (11.6%) for interval conclusion change and in 29 pairs (25.9%) for magnitude change with a threshold at 15%. These findings underscore potential commonality in tipping points and emphasize the importance of our proposed analysis, especially in networks with sparse direct comparisons or wide credible intervals for correlation estimates. A case study provides a visual illustration and interpretation of the tipping point analysis. We recommend integrating this tipping point analysis as a standard practice in AB-NMA.
The dynamics of wall-mounted flexible structures, such as aquatic vegetation, is essential for analysing collective behaviours, flow distributions and vortex formation across different scales. To accurately model these structures under various flow conditions, we develop a novel numerical method that couples the immersed boundary method (IBM) with the vector form intrinsic finite element (VFIFE) method, referred to as the IBM–VFIFE method. We simulate both flexible and rigid stems, each with a constant aspect ratio of 10, mounted on an impermeable bottom in uniform flow with the Reynolds number ranging from 200 to 1000. In the rigid case, we identify three distinct flow regimes based on the vortex dynamics and lift spectral characteristics. Due to the influences of downwash flow at the free end and upwash flow near the junction, vortex shedding varies significantly along the vertical direction. For the flexible case, we examine a wide range of stem stiffness values to explore potential dynamic responses. The results reveal that stiffness plays a key role in stem behaviour, leading to three distinct classifications based on amplitude magnitude and displacement spectra respectively. Notably, the vortex dynamics of a flexible stem differs significantly from that of a rigid stem due to shape deformation and stem oscillation. A flexible stem with relatively high stiffness experiences greater hydrodynamic loads compared with its rigid counterpart. This study highlights the unique stem behaviours and vortex dynamics associated with flexible stems. We find that stem oscillation, combined with a near-wake base vortex, contributes to an upwash flow near the stem bottom, which significantly weakens (or, in some cases, eliminates) the downwash flow. Additionally, low-frequency oscillations in the streamwise and vertical directions are observed, while the transverse oscillation exhibits a dominant frequency one order of magnitude higher. Overall, this study provides valuable insights into the response and vortex dynamics of a single stem in uniform flow.
This article follows a session on ‘Using AI in the Classics Classroom’ delivered at the University of Cambridge Mentors’ Day for the Classics PGCE (Initial Teacher Education programme). The first half of the article provides a brief introduction to how generative AI operates and the impact AI has had on education in the UK. In addition, this section considers the advantages of AI for educators in supporting PGCE students and early career teachers, aiding with planning and resource creation as well as the advantages for pupils. It also sets out practical limitations such as AI hallucinations, biases, database limitations, data protection concerns, and the potential risks of pupils developing reliance on AI usage and how teachers can avoid this. The second half of this article provides guidance and examples of how teachers can use AI to support their workload outside of the classroom and for using AI with pupils in the classroom. This includes advice on how to improve AI prompts, example prompts, and prompt scaffolds, as well as recommendations of AI tools for teachers to use in the classroom.
This introductory essay establishes the site of the neighbourhood and the social fact of urban proximity as crucial, conflicted and volatile conditions of colonial society. We show that the colonial neighbourhood was a highly contested space where diverse populations, stark inequalities and asymmetric power distributions played out in the most palpable manner. At the same time, it also emerged as an incubator of sociability, solidarity and protest across communal lines. The constant tension between physical proximity and profound inequality defined much of the social dynamics in the colonial city, making neighbours and neighbourhoods a most promising terrain of enquiry.
Difficult-to-treat depression (DTD) is a common clinical challenge for major depressive disorder and bipolar disorders. Electro convulsive therapy (ECT) has proven to be one of the most effective treatments for this condition. Although several studies have investigated individually the clinical factors associated with the DTD response, the role of their interplay in the clinical response to ECT remains unknown. In the present study, we aimed to characterize the network of symptoms in DTD, evaluate the effects of ECT on the interrelationship of depressive symptoms, and identify the network characteristics that could predict the clinical response.
Methods
A network analysis of clinical and demographic data from 154 patients with DTD was performed to compare longitudinally the patterns of relationships among depressive symptoms after ECT treatment. Furthermore, we estimated the network structure at baseline associated with a greater clinical improvement (≥80% reduction at Montgomery–Åsberg Depression Rating Scale total score).
Results
ECT modulated the network of depressive symptoms, with increased strength of the global network (p = 0.03, Cohen’s d = −0.98, 95% confidence interval = [−1.07, −0.88]). The strength of the edges between somatic symptoms (appetite and sleep) and cognitive-emotional symptoms (tension, lassitude, and pessimistic thoughts) was also increased. A stronger negative relationship between insomnia and pessimistic thoughts was associated with a greater improvement after ECT. Concentration difficulties and apparent sadness showed the greatest centrality.
Conclusions
In conclusion, ECT treatment may affect not only the severity of the symptoms but also their relationship; this may contribute to the response in DTD.
Fairness in service robotics is a complex and multidimensional concept shaped by legal, social and technical considerations. As service robots increasingly operate in personal and professional domains, questions of fairness – ranging from legal certainty and anti-discrimination to user protection and algorithmic transparency – require systematic and interdisciplinary engagement. This paper develops a working definition of fairness tailored to the domain of service robotics based on a doctrinal analysis of how fairness is understood across different fields. It identifies four key dimensions essential to fair service robotics: (i) furthering legal certainty, (ii) preventing bias and discrimination, (iii) protecting users from exploitation and (iv) ensuring transparency and accountability. The paper explores how developers, policymakers and researchers can contribute to these goals. While fairness may resist universal definition, articulating its core components offers a foundation for guiding more equitable and trustworthy human–robot interactions.
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.
‘No nation has produced more anthologies or collections of women’s poetry than late imperial China’, according to Kang-i Sun Chang. Indeed, the open-access database of Ming–Qing Women’s Writings at McGill University Library includes 5239 women writers and 431 poetry collections. Yet virtually no trace of this phenomenon, or of these women writers, can be found in transcultural literary histories and anthologies of world literature published in the West in the twentieth century and beyond. How is this possible? The reason is not simply the lack of translations of many of the poems, but rather it has to do with the lack of canonization of these women poets in Chinese literary history until the late twentieth century, when they were ‘rediscovered’. This article investigates this neglect with the aim of showing that there were several different reasons for it, related to poetics, genre hierarchies, anthology editing practices, etc., in the imperial era, and to aspects of Chinese literary historiography in the twentieth century. Two women ci poets, Liu Shi and Qiu Jin, are briefly introduced to show that the reasons for their exclusion, as well as their later inclusion in the national literary canon, also need to be addressed on an individual level.
Studies of women religious during the early modern period have often focused on questions surrounding lack of choice, usually about whether they had been coerced to join a convent. This article argues that, in the case of the English convents formed in continental Europe after the Tridentine reforms, not only did most women opt to enter convents of their own free will, but that there was a further level of choice involved. Namely, women chose which convent they wished to enter, a decision process largely neglected by the existing historiography. It opens by considering the regulations the convents operated under as part of the Catholic Reformation, and argues that both the communities and individual women were involved in the decision process surrounding entry to convent life. The second section explores how women navigated any external influences, while the third section argues that spirituality was a key motivating factor for a woman choosing a community. In short, women were not just choosing to become nuns, but were exercising their own agency in deciding which convent to join. Committed candidates meant a strong community and, in the case of the English convents, it meant they could navigate the extra challenges of exile.
The crystal structure of fruquintinib Form I has been solved and refined using synchrotron X-ray powder diffraction data and optimized using density functional theory techniques. Fruquintinib Form I crystallizes in space group C2 (#5) with a = 35.4167(22), b = 3.90500(12), c = 26.9370(11) Å, β = 108.0290(22)°, V = 3,542.52(26) Å3, and Z = 8 at 298 K. The crystal structure consists of double layers of each of the two independent molecules parallel to the ab-plane. These layers stack along the short b-axis. N–H···N hydrogen bonds link the layers. Most of the C–H···N and C–H···O hydrogen bonds are intramolecular. The powder pattern has been submitted to ICDD for inclusion in the Powder Diffraction File™ (PDF®).
This study explores the perspectives of cancer lay health providers and civil society on the barriers and facilitators to cancer detection and treatment among women.
Background:
In 2010, the Moroccan Ministry of Health implemented a national plan for cancer care and control. Activities focused on strengthening multisectoral collaboration in cancer care and control, including promoting early detection in primary care. Despite progress in reducing women’s cancer mortality, socio-cultural challenges impede further gains. Elucidating the perspectives of the community-based and civil society allied in cancer control is critical to addressing cancer disparities.
Methods:
Data were collected through in-depth interviews with cancer lay health advisors (n = 10) and civil society members (n = 10) on topics of challenges and opportunities to improve care-seeking and treatment. Data were analysed using thematic analysis and guided by the socio-ecological model.
Findings:
Barriers and facilitators to early diagnosis and treatment were identified at levels of the individual, family, community/societal, and the health system. Barriers to early detection include taboo and stigma, fear of death, and gender norms and roles. Financial and geographic barriers, lack of psychosocial support, and poor health system/provider communication were major deterrents related to treatment. Results suggest intervention targets to reduce late-stage presentation for women, including enhancing educational efforts and augmenting community outreach linkages to primary care.
This article explores the potentials of intergenerational collaboration as a long-term research strategy for shifting social and political imaginaries around climate change. It brings together academics and youth researchers who began working together on the Climate Change and Me project in 2014, along with colleagues who joined them for a public panel, book launch and exhibition ten years later. Climate Change and Me was the first large-scale study of climate change education applying a child- and youth-framed methodology, and has led to numerous exhibitions, curriculum resources, digital platforms, and publications co-created with children and young people. This article gives voice to young people’s reflections on the impact of their involvement with this project a decade on, drawing on the transcript of a public panel conversation at the Design Hub Gallery in Naarm (Melbourne). It explores how young people’s early experiences as child researchers have intersected with political, social and educational change across time, while opening new conversations with intergenerational colleagues working in related areas of climate justice education, activism and research.