Norm contestation has become an established research programme in International Relations. However, scholars have yet to scrutinise the form and effect of radical contestation. I argue that radical contestation is a disruptive form of contestation, distinguished by (1) the extensive scope that attacks a specific norm and wider normative order, institutions, and actors sympathetic to the norm, and (2) high emotional intensity in animating contestation. To bring these features of radical contestation together, I use insights from the study of emotions and backlash movements to advance a new ‘emotional backlash’ framework and explain the construction, mobilisation, and outcome of radical contestation. I subsequently apply this framework to analyse the emotional backlash against Rohingya refugees during Covid-19. Cultivated by resentment, the emotional backlash against the Rohingya contests refugee protection norms and extends to radically challenge human rights advocates, United Nations agencies, and the larger humanitarian and cosmopolitan principles. In doing so, backlash supporters aim to restore a society without refugees and their sympathisers, and instead to promote racism as a ‘normal’ organising principle. By capturing radical contestation, this contribution steers norms scholarship towards a new research terrain and highlights the implications that the backlash has for the international refugee regime.

My research on dietary protein and the regulation of proteostasis in muscle and the whole body during growth and adult maintenance is reviewed. Growth control involves both permissive and regulatory roles of protein acting with genetic determinants and functional demand, to mediate substrate flow into metabolic consumption, energy storage and growth. In 1995 a Protein-Stat hierarchical model for control of the fat-free mass was proposed and is updated here with special emphasis on the skeletal muscle mass. Control is exerted in large part through a central aminostatic appetite mechanism sensing changes in free amino-acid patterns in response to the balance between their supply in relation to their demand. This acts primarily to maintain skeletal muscle mass at a level set by the linear dimensions of the organism, which in turn is controlled by genetic programming and mediated by the developmental hormones acting together with an appropriate anabolic drive deriving from dietary protein. This, together with other important nutrients like zinc, calcium and vitamin D, provides the regulatory stimulus for growth and protein deposition in all tissues. The applicability of this model to childhood growth and development will be described as well as the maintenance of the adult phenotypic muscle mass within populations with protein intakes varying over a wide range, work which resulted in an adaptive metabolic demand model for protein and amino acid requirements and values for apparent adult protein and lysine requirements. Finally current understanding of aminostatic mechanisms of amino-acid sensing in the brain will be reviewed.

Flight Data Monitoring (FDM) programmes have become a key part of every major airline’s safety management system. They are primarily based on learning from unwanted deviations in flight parameters encountered during normal flight operations. Owing to its unique nature, anomaly detection of FDM presents distinct problem complexities from the majority of analytical and learning tasks. This methodology, while useful, concentrates only on a small part of the operation, leaving most of the data unprocessed, and does not allow for analysing events that had the potential to go wrong but were recovered in time by the crews. This research focused on analysing an FDM dataset of 1332 approaches between January 2018 and July 2022 at Tenerife South Airport (Spain), where there is a known phenomenon of increasing headwinds during the final approach. The flights were clustered using self-organising maps (SOM) by patterns of increasing headwinds, and the clusters were assessed in terms of clustering performance. The clusters were well differentiated. A further comparison between the results from the airline showed that 88 flights were affected by wind shifts, while 27 flights were picked up by the airline. The results demonstrate that SOMs are a meaningful tool for clustering flight data and can complement the current FDM analysis methodology. Combining both methodologies could shift FDM data analysis to look beyond exceedances into what went well, thus shifting the FDM paradigm towards a more safety-II-based method.

This article examines cross-border inheritance transfers between the United States, Germany, and Russia between the 1840s and the late 1980s. These transfers were not only characterized by private considerations and kinship networks but were also strongly intertwined with national and international political developments. This article argues that the history of transnational inheritance transfers since the 19th century can be subdivided into three distinct periods. The first period, from the mid-19th century to 1914, witnessed the gradual development and expansion of professional networks and legal agreements designed to facilitate cross-border estate transfers. By contrast, the second period, from World War I and the October Revolution of 1917 through the late 1960s, was a time of unprecedented global disruption. Unlike the half-century before World War I, governments and probate courts complicated, delayed, and prevented inheritance transfers across state borders due to military and ideological conflicts. During the third period, beginning in the 1960s, governments, international organizations, lawyers, and families resumed efforts to create structures that would legally protect and enable cross-border estate transfers in an increasingly globalized world.

By examining a protracted instance of workers’ militant action in the city of Kanpur in the 1930s, the article will examine the significance of the neighbourhood in workers’ lives and its interplay with urban politics that often led to public order crises for the government. It will argue that such crises revealed shortcomings in colonial urban governance and will show that urban proximity accentuated precarity and brought a diverse set of workers together to agitate for their rights and stake claims to political power in the city.

Trevor Griffith and Adrian Kind argue that we should reject a standard interpretation of pain asymbolia, according to which asymbolics experience pain even though their pain lacks the affective-motivational element that typical pains possess. We make the case that Griffith and Kind’s reasons for rejecting the standard interpretation are relatively weak. We end by arguing that debates between the standard interpretation and alternative interpretations cannot be resolved without addressing the issue of how we should taxonomize pain asymbolia as a neurological condition.

We provide a complete characterization of theories of tracial von Neumann algebras that admit quantifier elimination. We also show that the theory of a separable tracial von Neumann algebra $\mathcal {M}$ is never model complete if its direct integral decomposition contains $\mathrm {II}_1$ factors $\mathcal {N}$ such that $M_2(\mathcal {N})$ embeds into an ultrapower of $\mathcal {N}$. The proof in the case of $\mathrm {II}_1$ factors uses an explicit construction based on random matrices and quantum expanders.

Jellyfish are widely distributed throughout the world’s oceans. However, understanding jellyfish species’ distributions remains poor. Here, we addressed this knowledge gap by applying an approach that uses citizen science observations to inform collection of samples which then undergo molecular analysis. Doing so allowed us to confirm the presence of the jellyfish Cyanea purpurea in the waters of Hong Kong SAR for the first time. Due to morphological overlap in Cyanea species, DNA analysis confirmed specimen identification. Samples were taken from 19 jellyfish individuals for subsequent DNA analysis. Ten samples (53%) were confirmed as C. purpurea, two samples (10%) were identified as Cyanea nozakii, and seven samples (37%) were not able to be identified. The combined application of citizen science and DNA analysis has proven effective in confirming the presence of C. purpurea in Hong Kong waters. This approach of using citizen science observations to inform the collection of samples for subsequent molecular analysis could be transferrable to other similar situations in which identification based solely on morphology is insufficient, potentially enhancing our ability to recognise species occurrence.

We present striking and unique imaging features of a child with scimitar syndrome, demonstrating a rare ‘double sword appearance’ across multiple imaging modalities including chest radiography, angiography and computed tomography.

Technological developments and affordable price structures have increased the usage of unmanned aerial vehicles (UAVs) across almost all sectors, hence increasing demand. Since UAVs can fly and perform various tasks without requiring a human operator, the most dangerous and time-consuming tasks previously performed by humans in many sectors are now accomplished by using UAVs. The increased use of UAVs has also introduced critical safety and security risks, including airspace congestion, collisions and malicious use, and therefore, identifying and assessing the risks associated with UAVs and finding ways to mitigate them is of great importance. This qualitative study investigates the safety and security risks posed by the increased use of UAVs and discusses ways to mitigate these risks. Semi-structured interviews with aviation professionals, including pilots, air traffic controllers and academicians, were conducted, and the collected data were analysed by using MAXQDA 24 qualitative analysis software. The results indicate that 86% of participants emphasised air traffic density as a major safety concern, while 71% underlined the need for dedicated air corridors and robust legal frameworks to reduce collision risks. These insights suggest that the safe integration of UAVs into current aviation systems demands a multifaceted strategy involving regulatory interventions, such as clearly defined UAV flight zones and essential technological enhancements. Overall, the study underscores the urgent need for coordinated efforts–legal, technological, and inter-institutional–to ensure the secure incorporation of UAVs into national airspace.

One of the most devastating and costly consequences of CM is that it persists across generations. Yet, we know little about whether there is intergenerational continuity of diverse dimensions of CM exposure (e.g., chronicity, multi-subtype) or unique patterns of exposure. This is a critical gap, given evidence that different forms of CM confer unique consequences. To enhance our understanding of intergenerational continuity of CM, the current study applied a multidimensional framework to be the first to investigate whether unique forms of CM exposure (characterized by the subtypes and whether multi-type exposure occurred) exhibited homotypic/heterotypic patterns of intergenerational continuity. Latent class analysis (LCA) was used to identify patterns of CM exposure in mothers and their offspring (aged 8–13) who were part of a high-risk, economically disadvantaged sample of maltreated and nonmaltreated youth (N = 1240). Four distinct classes of CM exposure were identified in both mothers (“Single-Subtype without Sexual Abuse”; “Sexual Abuse”, “Multi-Subtype Exposure”; and “No Maltreatment”) and offspring (“No Maltreatment”; “Single Type-Neglect”; “Single Type-Abuse”; and “Chronic, Multi-type”). Patterns of homotypic and heterotypic intergenerational continuity were identified, with a pattern of multi-type exposure emerging as an enduring form of exposure across generations. Implications for preventive interventions are discussed. Intergenerational continuity of multidimensional patterns of child maltreatment exposure: A person-centered approach