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.

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.

‘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 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.

Peer grading is an educational system in which students assess each other’s work. It is commonly applied under Massive Open Online Course (MOOC) and offline classroom settings. With this system, instructors receive a reduced grading workload, and students enhance their understanding of course materials by grading others’ work. Peer grading data have a complex dependence structure, for which all the peer grades may be dependent. This complex dependence structure is due to a network structure of peer grading, where each student can be viewed as a vertex of the network, and each peer grade serves as an edge connecting one student as a grader to another student as an examinee. This article introduces a latent variable model framework for analyzing peer grading data and develops a fully Bayesian procedure for its statistical inference. This framework has several advantages. First, when aggregating multiple peer grades, the average score and other simple summary statistics fail to account for grader effects and, thus, can be biased. The proposed approach produces more accurate model parameter estimates and, therefore, more accurate aggregated grades by modeling the heterogeneous grading behavior with latent variables. Second, the proposed method provides a way to assess each student’s performance as a grader, which may be used to identify a pool of reliable graders or generate feedback to help students improve their grading. Third, our model may further provide insights into the peer grading system by answering questions such as whether a student who performs better in coursework also tends to be a more reliable grader. Finally, thanks to the Bayesian approach, uncertainty quantification is straightforward when inferring the student-specific latent variables as well as the structural parameters of the model. The proposed method is applied to two real-world datasets.

Presidential primary elections arguably represent the most dynamic campaigns in American politics. Television advertising is a key aspect of strategy that candidates can marshal throughout the campaign. We develop a methodology for measuring the impact of advertising in primary elections that accounts for endogeneity and apply it to the 2000 through 2016 elections. We find that advertisements—both positive and negative—improve the favorability and the vote share of the candidate running the ads. We find that negative advertising is more effective than positive advertising, but that only high polling candidates lose support when attacked.

Previously, we reported the persistence of the bacterial pathogen Neisseria meningitidis on fomites, indicating a potential route for environmental transmission. The current goal was to identify proteins that vary among strains of meningococci that have differing environmental survival. We carried out a proteomic analysis of two strains that differ in their potential for survival outside the host. The Group B epidemic strain NZ98/254 and Group W carriage strain H34 were cultured either at 36 °C, 5% CO2, and 95% relative humidity (RH) corresponding to host conditions in the nasopharynx, or at lower humidities of 22% or 30% RH at 30 °C, for which there was greater survival on fomites. For NZ98/254, the shift to lower RH and temperature was associated with increased abundance of proteins involved in metabolism, stress responses, and outer membrane components, including pili and porins. In contrast, H34 responded to lower RH by decreasing the abundance of multiple proteins, indicating that the lower viability of H34 may be linked to decreased capacity to mount core protective responses. The results provide a snapshot of bacterial proteins and metabolism that may be related to normal fitness, to the greater environmental persistence of NZ98/254 compared to H34, and potentially to differences in transmission and pathogenicity.

This article studies the robustness of quasi-maximum-likelihood estimation in hidden Markov models when the regime-switching structure is misspecified. Specifically, we examine the case where the data-generating process features a hidden Markov regime sequence with covariate-dependent transition probabilities, but estimation proceeds under a simplified mixture model that assumes regimes are independent and identically distributed. We show that the parameters governing the conditional distribution of the observables can still be consistently estimated under this misspecification, provided certain regularity conditions hold. Our results highlight a practical benefit of using computationally simpler mixture models in settings where regime dependence is complex or difficult to model directly.

Mapping reviews are valuable tools for synthesizing and visualizing research evidence, providing a comprehensive overview of studies within a specific field. Their visual approach enhances accessibility, enabling researchers, policymakers, and practitioners to efficiently identify key findings, trends, and knowledge gaps. These reviews are particularly significant in guiding future research, informing funding decisions, and shaping evidence-based policymaking. In environmental science—similar to health and social sciences—mapping reviews play a crucial role in identifying effective conservation strategies, tracking interventions, and supporting targeted programs.

Unlike systematic reviews, which assess intervention effectiveness, mapping reviews focus on broad research questions, aiming to chart the existing evidence on a given topic. They use structured methodologies to identify patterns, gaps, and trends, often employing visual tools to enhance data accessibility. A well-defined scope, guided by inclusion and exclusion criteria, ensures a transparent study selection process. Comprehensive search strategies, often spanning multiple databases, maximize evidence capture. Effective screening, combining automated and manual processes, ensures relevance, while data extraction emphasizes high-level categories such as study design and population demographics. Advanced software tools, including EPPI-Reviewer and MindMeister, support data extraction and visualization, with evidence gap maps highlighting robust areas and research voids.

Despite their advantages, mapping reviews present challenges. The categorization and coding of studies can introduce subjective biases, and the process demands substantial resources. Automation and artificial intelligence offer promising solutions, improving efficiency while addressing integration and multilingual limitations. As methodological advancements continue, interdisciplinary collaboration will be essential to fully realize the potential of mapping reviews across scientific disciplines.

The Elizabethan reign has lately emerged as a formative period for English ideas about the liberties of the subject and the ‘ancient constitution’ of the realm. Recent work has described the development of such ideas as having been driven by an organized campaign against the English ecclesiastical courts: a legal and intellectual effort that had emerged from the misgivings of certain ‘puritan’ lawyers about the powers claimed by new prerogative jurisdictions. The primary grievance of the campaign has been identified as having been the church courts’ use of the oath ex officio, and the campaign’s primary defensive tool has been identified as having been the twenty-ninth chapter of Magna Carta. But overlooked manuscripts reveal a more complex story. This article shows that the law of excommunication was as important to the campaign in question as Magna Carta. In addition, a re-examination of the life and work of James Morice, one of the principal lawyers responsible for the campaign, demonstrates that the law of excommunication deeply structured his understanding of the royal supremacy, and of the legal relationship between England’s secular and ecclesiastical polities – particularly as they had existed in the distant medieval past.