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As social and educational landscapes continue to change, especially around issues of inclusivity, there is an urgent need to reexamine how individuals from diverse linguistic backgrounds are perceived. Speakers are often misjudged due to listeners’ stereotypes about their social identities, resulting in biased language judgments that can limit educational and professional opportunities. Much research has demonstrated listeners’ biases toward L2-accented speech, i.e., perceiving accented utterances as less credible, less grammatical, or less acceptable for certain professional positions, due to their bias and stereotyping issues. Then, artificial intelligence (AI) technology has emerged as a viable alternative to mitigate listeners’ biased judgments. It serves as a tool for assessing L2-accented speech as well as establishing intelligibility thresholds for accented speech. It is also used to assess characteristics such as gender, age, and mood in AI facial-analysis systems. However, these AI systems or current technologies still may hold racial or accent biases. Accordingly, the current paper will discuss both human listeners’ and AI’ bias issues toward L2 speech, illustrating such phenomena in various contexts. It concludes with specific recommendations and future directions for research and pedagogical practices.
Low neuromuscular fitness is documented in adolescents with CHD and may be associated with clinical and morphological factors, indicating the need to assess strength in this population.
Objective:
To evaluate neuromuscular fitness with a multifactorial approach and its associations with other clinical and morphological factors in adolescents with CHD.
Methods:
This is an observational, cross-sectional study with adolescents with CHD, aged between 10 and 18 years. Neuromuscular fitness was calculated by the sum of the z-scores of four strength tests. Clinical factors of CHD were assessed by medical records and questionnaire. The morphological factors assessed were waist-to-height ratio, sum of skinfolds, and upper arm muscle area. Descriptive statistics, analysis of covariance, and linear regressions were performed.
Results:
Sixty adolescents with CHD participated, aged 12,7 ± 2,1 years, 55% girls. Maximum isometric strength was inadequate in 33%, jump height (power) in 33%, abdominal muscle strength resistance in 78%, and upper limb muscle strength resistance in 27%. Neuromuscular fitness was inadequate in 89% (n = 53) of adolescents with CHD. In the unadjusted regression, neuromuscular fitness was associated with arm muscle area (β = 0,12; p = 0,02; R2adj = 0,08) and in the unadjusted and adjusted regression it was lower in cyanotic (vs. acyanotic) CHDs (β = −1,76; p = 0,03 R2adj = 0,24).
Conclusion:
The findings reveal deficits in different presentations of musculoskeletal strength in a large proportion of adolescents with CHD, reinforcing the need to measure fitness from a broader perspective. Low muscle mass and the presence of cyanotic CHD may imply in reduced neuromuscular fitness in adolescents with CHD.
An highly miniaturized multiband polarizer for C to Ka-band applications is proposed. The polarizer design consists of resonating patch printed on top of the FR-4 grounded substrate. During reflection, the x/y polarized incident EM wave becomes circularly polarized with Axial Ratio (AR ≤ 3 dB) from 7.88 to 8.01 GHz, 9.01 to 11.65 GHz, 15.36 to 36.57 GHz, and 31.88 to 35.38 GHz, respectively. In addition, this design also demonstrates linear–cross conversion with a minimum 90% Polarization Conversion Ratio (PCR) from 8.28 to 8.60 GHz, 12.56 to 14.19 GHz, and 28.26 to 30.59 GHz. Transfer Matrix Method (TMM) explains the polarization conversion phenomena, and surface current distribution at resonant frequencies supports the multi-polarization conversion phenomena. The proposed design is compact with a periodicity of 0.063λL × 0.076 λL, where λL is the free-space wavelength corresponding to the lowest operating frequency. The fabricated prototype is verified experimentally. The authors believe that the features of the proposed design, like multiband, miniaturized unit cell architecture, and better angular stability, make it a promising contender for satellite applications.
Turbulence closures are essential for predictive fluid flow simulations in both natural and engineering systems. While machine learning offers promising avenues, existing data-driven turbulence models often fail to generalise beyond their training datasets. This study identifies the root cause of this limitation as the conflation of generalisable flow physics and dataset-specific behaviours. We address this challenge using symbolic regression, which yields interpretable, white-box expressions. By decomposing the learned corrections into inner-layer, outer-layer and pressure-gradient components, we isolate universal physics from flow-specific features. The model is trained progressively using high-fidelity datasets for plane channel flows, zero-pressure-gradient turbulent boundary layers (ZPGTBLs), and adverse pressure-gradient turbulent boundary layers (PGTBLs). For example, direct application of a model trained on channel flow data to ZPGTBLs results in incorrect skin friction predictions. However, when only the generalisable inner-layer component is retained and combined with an outer-layer correction specific to ZPGTBLs, predictions improve significantly. Similarly, a pressure-gradient correction derived from PGTBL data enables accurate modelling of aerofoil flows with both favourable and adverse pressure gradients. The resulting symbolic corrections are compact, interpretable, and generalise across configurations – including unseen geometries such as aerofoils and Reynolds numbers outside the training set. The models outperform baseline Reynolds-averaged Navier–Stokes closures (e.g. the Spalart–Allmaras and shear stress transport models) in both a priori and a posteriori tests. These results demonstrate that explicit identification and retention of generalisable components is key to overcoming the generalisation challenge in machine-learned turbulence closures.
One of the central insights of critical and constructivist International Relations (IR) scholarship is that identity-seeking matters in world politics. Ontological Security Studies (OSS) has expanded on this insight, emphasising that actors may prioritise maintaining a stable sense of self over physical security and other concerns. Yet the question of radical identity change, particularly its affective dimension, remains underexplored. To address this gap, we draw on Lacanian psychoanalysis and argue that ontological security is sustained by fantasies aimed at filling a primordial lack that can never be resolved. This lack generates anxiety, which actors attempt to soothe by attaching their desires to empirical signifiers – objects-cause of desire – that promise wholeness. Our argument centres on the idea that the rearticulation of desire occurs through the affective mechanism of catharsis, manifesting as either metaphor or metonymy. We illustrate our argument through the case of Serbia’s cathartic (re)articulation of Kosovo as its object-cause of desire. In particular, we juxtapose earlier successful articulations of Kosovo as a metaphoric substitution for other desires with more recent, less effective attempts to rearticulate the north of Kosovo and the submerged cultural heritage in Gazivode Lake as metonymic substitutions for the rest of the territory.
The study will focus on the German philosopher, Richard Schaeffler (1926–2019). Schaeffler wanted to create a new transcendental philosophy by developing Kant’s thought and thereby a new form of Christian philosophy. In his texts, he not only sketched the contours of a possible Christian transcendental philosophy, but his philosophy is already just such a philosophy. The aim of the study is to answer two questions: How did Schaeffler understand Christian philosophy, and what is specific about his Christian philosophy? In answering these questions, I will briefly compare Richard Schaeffler and Gianni Vattimo, who considered his philosophy to be Christian. The specific character of Christian philosophy – not only of Schaeffler’s – will be highlighted against the background of Vattimo’s philosophy, and the limits and deficiencies of Vattimo’s ‘Christian philosophy’ will be shown against the background of Schaeffler’s thought.
Compressible jets impinging on a perpendicular surface can produce high-intensity, discrete-frequency tones. The character of these tones is a function of nozzle shape, jet Mach number, impingement-plate geometry, and the distance between nozzle and plate. Though it has long been recognised that these tones are associated with a resonance cycle, the exact mechanism by which they are generated has remained a topic of some debate. In this work, we present evidence for a number of distinct tone-generation mechanisms, reconciling some of the different findings of prior authors. We demonstrate that the upstream-propagating waves that close resonance can be confined within the jet, or external to it. These waves can be either weak and relatively linear, or strong and nonlinear from their inception. The waves can undergo coalescence or merging, and in some configurations, pairs of waves rather than singletons appear. We discuss both historical and new evidence for multiple distinct processes by which upstream-propagating waves are produced: direct vortex sound, shock leakage, wall-jet-boundary fluctuations, and wall-jet shocklets. We link these various mechanisms to the disparate collection of upstream-propagating waves observed in the data. We also demonstrate that multiple mechanisms can be provoked by a single vortex, providing an explanation as to why sometimes pairs of waves or merging waves are observed. Through this body of work, we demonstrate that rather than being in opposition, the various pieces of past research on this topic were simply identifying different mechanisms that can support resonance.
We establish the higher fractional differentiability for the minimizers of non-autonomous integral functionals of the form
\begin{align*}\mathcal{F}(u,\Omega):=\int_\Omega \left[ f(x,Du)- g \cdot u \right] dx ,\end{align*}
under (p, q)-growth conditions. Besides a suitable differentiability assumption on the partial map $x \mapsto D_\xi f(x,\xi)$, we do not need to assume any differentiability assumption on the function g.
The paper by Pružina et al. (2025) J. Fluid Mech. 1009, sheds new light on the physical processes responsible for the formation of distinct layers in double-diffusive convection. Towards this end, it discusses direct numerical simulation results within the framework of sorted buoyancy coordinates. In particular, it demonstrates that the eddy diffusivity is negative everywhere, including in the interior of the well-mixed layers. This approach holds promise for analysing other, closely related, flow configurations that give rise to the emergence of pronounced layering features.
We investigate the Lorentzian analogues of Riemannian Bianchi–Cartan–Vranceanu spaces. We provide their general description and emphasize their role in the classification of three-dimensional homogeneous Lorentzian manifolds with a four-dimensional isometry group. We then illustrate their geometric properties (with particular regard to curvature, Killing vector fields and their description as Lorentzian Lie groups) and we study several relevant classes of surfaces (parallel, totally umbilical, minimal, constant mean curvature) in these homogeneous Lorentzian three-manifolds.
Fall from height is common in all age groups. In 2020 alone, over 6000 people in Canada died from fall-related injuries. Most of the published literature investigating fall-related injuries are often focused on fracture patterns, survival and recovery. Fatal falls are not well studied. The objective of this study is to characterize the demographics and craniocerebral and vertebrospinal injury patterns related to fatal falls within Southwestern Ontario.
Methods:
A retrospective case review was conducted at the Department of Pathology, London Health Sciences Centre, for deaths attributed to falls from 2000 to 2020. Only cases with complete autopsy and detailed neuropathology reports were included. Demographic data, comorbidity profiles and craniocerebral and vertebrospinal injuries, along with scene details, were collected and analyzed.
Results:
45 cases were included, with a male sex predominance and a mean age of 60.3 ± 18.1 years. The most common head injuries were hematoma, cerebral contusions and skull base fractures. Falls from stairs were the most common. Low fall (<3 m) was associated with subfalcine herniation and was more commonly seen in older individuals (>65 years). Younger individuals were more prone to falls from a high height (>3 m), with frontotemporal lobe contusions as the most common finding.
Discussion:
This study provides a detailed depiction of craniocerebral and vertebrospinal injury patterns of the fatal falls in Southwestern Ontario. Our findings show low falls are a more common cause of fatalities in individuals 65 years and older, and age is a significant predictor of frontal contusions and subdural hematomas.