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This chapter summarizes the empirical findings by comparing the three international courts. It shows that the EACJ has been the most deferential of the three courts, followed by the CCJ, and the African Court has been the least deferential. At the same time, the EACJ has the narrowest strategic space, the African Court the broadest and the CCJ lies between. The comparative analysis corroborates the theoretical argument of the book as each court’s deference closely aligns with its degree of formal independence and the extent of political fragmentation among its member states. The chapter revisits the book’s core argument by discussing the scope of the argument and considering its generalizability. It concludes with a discussion of the book’s implications for interdisciplinary research on international courts and IR literature on IOs in contemporary world politics.
Fashion upcycling offers unprecedented opportunities for the sustainable reuse of clothing: using second-hand garments as raw materials for new creations, upcyclers can transform used pieces of clothing into new fashion products that may become even more sought-after than the source material. Considering the overarching policy objective to ensure a circular economy, the use of trademark-protected fashion elements for upcycling purpose can be qualified as a particularly important form of artistic expression. The reference to products of the original trademark owner is made for the socially valuable purpose of providing a vision of better, more sustainable production and consumption practices.
Fine particulate matter (PM2.5) exposure and unfavourable lifestyle are both significant risk factors for mental health disorders, yet their combined effects on adolescent depression and anxiety remain poorly understood. This study aims to determine whether PM2.5 exposure and lifestyle are independently associated with adolescent depression and anxiety, and whether there are joint effects between these factors on mental health outcomes.
Methods
In this cross-sectional study, 19852 participants were analysed. PM2.5 concentrations were obtained from the ChinaHighAirPollutants (CHAP) dataset. Lifestyle factors were assessed through self-reported questionnaires, and a healthy lifestyle score was developed based on eight lifestyle risk factors. Depression and anxiety were assessed using the PHQ-9 and GAD-7 scales. Restricted cubic spline analysed dose–response relationships between PM2.5 exposure and mental health outcomes. The independent and joint effects were assessed using logistic regression models. Both multiplicative and additive interactions (relative excess risk due to interaction, RERI) were examined. Multiple classification approaches were incorporated to ensure robust results.
Results
The study included 19852 participants with a mean age of 15.16 years (SD 1.60), comprising 9886 (49.8%) males and 9966 (50.2%) females. Depression and anxiety were identified in 3845 (19.37%) and 3230 (16.27%) participants, respectively. PM2.5 exposure showed a linear dose-response relationship with depression and anxiety. Joint effects analysis at the 75th percentile of PM2.5 with a lifestyle risk score of 4 revealed the strongest associations, with adjusted odds ratios of 4.49 (95% CI: 3.79–5.33) for depression, 4.01 (95% CI: 3.36–4.78) for anxiety and 4.24 (95% CI: 3.52–5.10) for their comorbidity. Simultaneously, significant additive interactions (RERI > 0) between high levels of PM2.5 exposure and unfavourable lifestyle factors were detected, suggesting synergistic effects on mental health outcomes. Subgroup and sensitivity analyses confirmed the robustness of these findings.
Conclusions
High PM2.5 exposure and unfavourable lifestyle factors demonstrated significant independent and joint effects on depression and anxiety among adolescents. These findings highlight that implementing stringent air pollution control measures, combined with promoting healthy lifestyle practices, may be crucial for protecting adolescent mental health.
The introduction presents the aim and themes of the book within its historiographical framework. It accounts for the relative obscurity of local priests in historical research on the period by examining their role in three influential historiographical approaches and explains the way in which the study of this group of clergymen can improve our understanding of the tenth and early eleventh centuries. As well as setting out the structure of the rest of the book, this introduction provides an overview of the sources examined in the following chapters and briefly discusses the study’s geographical scope.
The use of large language models (LLMs) has exploded since November 2022, but there is sparse evidence regarding LLM use in health, medical, and research contexts. We aimed to summarise the current uses of and attitudes towards LLMs across our campus’ clinical, research, and teaching sites. We administered a survey about LLM uses and attitudes. We conducted summary quantitative analysis and inductive qualitative analysis of free text responses. In August–September 2023, we circulated the survey amongst all staff and students across our three campus sites (approximately n = 7500), comprising a paediatric academic hospital, research institute, and paediatric university department. We received 281 anonymous survey responses. We asked about participants’ knowledge of LLMs, their current use of LLMs in professional or learning contexts, and perspectives on possible future uses, opportunities, and risks of LLM use. Over 90% of respondents have heard of LLM tools and about two-thirds have used them in their work on our campus. Respondents reported using LLMs for various uses, including generating or editing text and exploring ideas. Many, but not necessarily all, respondents seem aware of the limitations and potential risks of LLMs, including privacy and security risks. Various respondents expressed enthusiasm about the opportunities of LLM use, including increased efficiency. Our findings show LLM tools are already widely used on our campus. Guidelines and governance are needed to keep up with practice. Insights from this survey were used to develop recommendations for the use of LLMs on our campus.
This chapter looks at moments when local priests came together. It focuses on the diocesan synod, the regular meeting which in theory all priests in the diocese were supposed to attend. Drawing on different kinds of evidence, including liturgies, charters, sermons, hagiography and poems, it argues that local priests attended these meetings more frequently than has been supposed, and examines what sort of things they might have learned and experienced at the synod. It argues for a change in the nature of the diocesan synod from the year 1000, as the occasion became more ceremonial, perhaps as part of episcopal strategies of representation, but perhaps also simply in response to the rising numbers of attendees, as the Church network continued to expand and consolidate.
Inference and prediction under partial knowledge of a physical system is challenging, particularly when multiple confounding sources influence the measured response. Explicitly accounting for these influences in physics-based models is often infeasible due to epistemic uncertainty, cost, or time constraints, resulting in models that fail to accurately describe the behavior of the system. On the other hand, data-driven machine learning models such as variational autoencoders are not guaranteed to identify a parsimonious representation. As a result, they can suffer from poor generalization performance and reconstruction accuracy in the regime of limited and noisy data. We propose a physics-informed variational autoencoder architecture that combines the interpretability of physics-based models with the flexibility of data-driven models. To promote disentanglement of the known physics and confounding influences, the latent space is partitioned into physically meaningful variables that parametrize a physics-based model, and data-driven variables that capture variability in the domain and class of the physical system. The encoder is coupled with a decoder that integrates physics-based and data-driven components, and constrained by an adversarial training objective that prevents the data-driven components from overriding the known physics, ensuring that the physics-grounded latent variables remain interpretable. We demonstrate that the model is able to disentangle features of the input signal and separate the known physics from confounding influences using supervision in the form of class and domain observables. The model is evaluated on a series of synthetic case studies relevant to engineering structures, demonstrating the feasibility of the proposed approach.
This chapter examines the evolution of freedom of expression doctrines in the context of digital media. It focuses on how the European Court of Human Rights has adapted traditional doctrines, rooted in Article 10 of the European Convention on Human Rights, to address challenges in the new media environment. The authors explore how freedom of expression, vital to democracy, must balance individual rights, societal interests, and the regulation of disinformation and hate speech in the digital age. The Court’s defence of democracy has evolved from responding to authoritarian threats in Europe’s past to addressing new risks in the digital realm. Principles such as proportionality, the prohibition of abuse of rights (Article 17), and preventing the misuse of democratic freedoms (Article 18) guide limitations on expression, ensuring they are justified and not misused for political suppression. Social media has expanded the concept of ‘public watchdogs’ beyond traditional media to include non-governmental organisations, bloggers, and activists. This evolution demands rethinking the liability and freedom of expression doctrines for platforms.
This chapter provides an overview of contemporary technological transformations and their implications for labour, particularly in the Brazilian context. The advancement of digitalisation and the platformisation of labour has intensified precarisation and social inequalities, with ‘uberisation’ and the gig economy emerging as symbols of this new landscape. Algorithmic management, the lack of labour protections, and financial instability are challenges faced by workers, exacerbating social exclusion. The text highlights initiatives such as Fairwork, which aims to regulate digital labour and promote fairer working conditions. Furthermore, it proposes integrating Environmental Education into discussions of social and economic justice, arguing that labour issues are intrinsically connected to the fight for environmental justice. By linking the rights to decent work, life, and a safe environment, it suggests that Environmental Education offers a critical perspective that encompasses social, economic, ecological, and human rights dimensions, proposing new approaches to address inequalities worsened by technological acceleration.
Parental reports and experimental studies indicate that parents speak less to their children in the presence of background television. However, there is a lack of home observations examining the relations between infants’ background TV exposure and maternal infant-directed speech. In the current study, 32 infants and their mothers were observed for 60 minutes in their homes at 8, 10, and 18 months of age. Results revealed that the number of words, the number of different words, and the number of questions in infant-directed speech were consistently lower in households with background TV. Furthermore, these aspects of maternal language input were negatively related to the duration of background TV, controlling for families’ socioeconomic background. These findings suggest that television may have a negative impact on young children’s language development via disrupted parent–child interactions in the presence of background TV in the home environment.
This chapter describes how the East African Court of Justice is rooted in colonial legacies, which affect regional political norms and legal culture. It shows the EACJ’s decisions are characterized by substantial deference, frequently ruling in favor of states and relying extensively on restrictive interpretation. Less deference, however, is observed through the Court’s remedial orders. The chapter draws linkages between the EACJ’s deference and its pervasive political constraints. Namely, the EACJ’s strategic space is narrowed by weak formal independence and moderate political fragmentation. These two factors combine to undermine the Court’s legitimacy and imply that state resistance is feasible and credible. A significant episode of prior resistance also suggests states could execute future resistance. To the extent the Court does not defer, the chapter reveals how persuasive argumentation and public legitimation facilitate nondeference. Last, the chapter illustrates how the Court’s support networks insufficiently account for its substantial deference.