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Staphylococcus lugdunensis (SL), a skin commensal, is a rare cause of native valve endocarditis and usually affects left-sided valves. Only a few cases of native tricuspid valve endocarditis have been reported in non-intravenous drug users, and none have been associated with concomitant congenital heart disease.
We prove that the positive-dimensional part of the torsion locus of the Ceresa normal function in $\mathcal {M}_g$ is not Zariski dense when $g\geq 3$. Moreover, it has only finitely many components with generic Mumford-Tate group equal to $\mathrm {GSp}_{2g}$; these components are defined over $\overline {\mathbb Q}$, and their union is closed under the action of $\mathrm {Gal}(\overline {\mathbb Q}/\mathbb Q)$. More generally, we study the distribution of the torsion locus of arbitrary admissible normal functions.
The phenomenon in which a solid phase moves in a liquid phase while undergoing melting and solidification is observed in the transport of phase change materials, such as ice slurry flows. When the solid phase is treated as a rigid body, its equations of motion should be expressed in a form that incorporates the effects of melting and solidification into the equations for rigid-body dynamics. In particular, the mass and inertia moment of the solid phase vary in time, and the position of its centre of mass (COM) shifts if the phase change is non-uniform. However, existing studies have generally neglected these effects and adopted the same form as the rigid-body dynamic equations. In this study, using an approach analogous to the derivation of fluid dynamic equations, we derive the equations of motion for a solid phase moving in a liquid phase while melting and solidification. The surface of the solid is assumed to deform at the Stefan velocity determined by the Stefan condition. Accordingly, mass, momentum and angular momentum fluxes flow in and out across the surface due to the Stefan velocity and the induced jet associated with density change. By considering these momentum fluxes, the translational and rotational equations of motion are derived from the translational and angular momentums balance, respectively. The derived equations differ formally from the conventional rigid-body dynamic equations owing to the additional flux terms due to density change and the COM shift due to non-uniform deformation.
We investigate the ability of two data assimilation (DA) methods – ensemble Kalman filter (EnKF) and variational smoother (4D-Var) – to reconstruct the Kuramoto–Sivashinsky and complex Ginzburg–Landau systems from sparse observations. While turbulent systems can reconstruct small scales below a critical resolution by substituting larger scales into governing equations, we examine whether DA methods can accurately recover the full field with observations sparser than this threshold, and consider which method performs better. Our findings show that both methods can accurately reconstruct the full field even with observations much sparser than the substitution-based critical resolution. However, likelihood of successful reconstruction within a fixed assimilation time decreases as sparsity increases. The EnKF method needs smaller assimilation time and lower temporal sampling rate than 4D-Var, but needs ad hoc stabilisation (e.g. inflation) and higher memory for ensemble storage. We validate these results by applying EnKF to turbulent two-dimensional Kolmogorov flows at Reynolds numbers from 200 to 2000, and forcing at wavenumbers 4 and 5. For these flows, we achieve full field reconstruction from observations as sparse as $4\times 4$, outperforming existing 4D-Var and machine learning results where denser observations are required for reconstruction. These findings highlight the strengths and trade-offs of DA methods, offer guidance for reconstructing turbulent flows, and establish benchmarks for evaluating alternative methods.
Streamwise vortices are ubiquitous structures on the surfaces of three-dimensional aircrafts and are prone to Z- and Y-mode instabilities. We systematically investigate the nonlinear development of vortex-mode instabilities and resonant interactions employing plane marching nonlinear parabolised stability equations (NPSE3D) and quasi-direct numerical simulation (QDNS). The results suggest the moderately strong subharmonic resonance, and that the detuned interaction between a high-frequency Y-mode and a low-frequency Z-mode may precipitate the transition process. Albeit without any sign of the fundamental resonance, the self-interaction of a Y-mode generates mean flow distortion (MFD) that, in turn, yields the amplitude saturation and causes the hairpin vortex formed by the Y-mode to cascade into smaller scale vortices via vortex reconnection. Sensitivity analysis reveals that MFD exerts a destabilising direct effect on modal instability, but this is offset by its stabilising indirect effect through weakened base-flow shear, ultimately resulting in net stabilisation. Higher-frequency modes display heightened sensitivity to MFD. Moreover, QDNS exhibits a late-stage surface skin friction overshoot, accompanied by an amplification of subharmonic frequencies.
On February 24, 2022, Russia escalated its aggression against Ukraine. In addition to a staggering civilian death toll (i.e., ≥ 14,383), the Russo-Ukrainian War had generated approximately 5,752,670 refugees as of October 31, 2025. While scholarship on the Russo-Ukrainian War’s refugees has centered on the three largest EU destinations—Germany, Poland and the Czech Republic—Spain has emerged as the fourth major host. Given its unique history as a colonizer and that Spanish news outlets demonstrably dehumanized refugees from the Syrian Civil War, we ask: How have Spanish news outlets textually and photographically portrayed the Russo-Ukrainian War’s refugees? Conceptually, we entwine Water Metaphors, Off-Whiteness, Orientalism and Sentence-Image. Through a Descriptive Content Analysis and a Visual Framing Approach, we examine the news coverage from El Mundo (n = 97) and El País (n = 119) between February 24 and March 15, 2022. We argue that, although both news outlets employed Water Metaphors that conventionally connote dangerousness (e.g., Avalanche), such meanings were textually and photographically disrupted through non-Orientalist, Off-White re-racializing lenses. Consequently, Spanish news outlets portrayed the Russo-Ukrainian War’s refugees as “Oriental European Others” whose movement was compelled yet “civilized” and whose whitened visibility rendered them absorbable by the “Western European Us”, thereby co-constructing distinctive “Contingent Safe Waters”.
In this article, we propose a navigation approach based on a flocking algorithm for multiple agents that discover the environment with their sensors. The proposed method is able to move the agents in a flexible formation that preserves a pattern that minimizes a measure of energy, but is also able to avoid collision with obstacles while maintaining communication and visibility between agents. Control laws are combined with a new version of the planner called the Nearness Diagram (ND), extended to multiple agents. Two central ideas in the approach are: (1) the global leader of the formation can change, selecting as global leader one that has favorable conditions to reach the goal, (2) each agent locally follows another agent, the agent that is followed minimizes a cost related to the shortest path to the global leader in a graph. The method is intensively validated with several computer simulations, implemented in differential-drive robots. The results showed that the approach maintains communication formation and flexible enough to allow agents to line up when narrow passages appear in the environment.
We find upper and lower bounds on the number of rational points with bounded denominators that are contained in a rectangular neighbourhood of some $n$-dimensional $p$-adic integer. To find the upper bound, we use lattice point counting techniques on $p$-adic approximation lattices, and for the corresponding lower-bound statement, a classical pigeonhole principle-style argument is used. We apply this counting result to prove a statement in the setting of weighted simultaneous $p$-adic Diophantine approximation on coordinate hyperplanes. For the lower-bound Hausdorff dimension result, we construct a local ubiquitous system of rectangles and then apply the recent Mass Transference Principle result of Wang and Wu (Math. Ann., 2021).
Through the life story of a sailor, merchant, former prisoner, and soldier, this article explores the Brazilian postcolonial empire’s experiments in settlement and domestic colonization during the Age of Revolutions. Johann Heinrich Lembke’s journey—from incarceration in the German territory of Mecklenburg-Schwerin, to his conscription into the Brazilian armed forces, to his eventual desertion—offers a unique entry point into the sociopolitical mechanisms of empire-building in the New World. Drawing on records from German, British, Portuguese, and Brazilian archives, this article traces Lembke’s trajectory within broader processes of territorial expansion, settler-military strategies, and normative pluralities that shaped imperial governance in Latin America. It illuminates the porous continuum between penal, military, and settler colonization projects, illustrating how such systems functioned as overlapping mechanisms of governance and control. Methodologically, a microhistorical analysis links the European and South American contexts, as this research uncovers the experimental nature of Brazil’s border policies and challenges binary representations of settlers in the South America. Lembke’s case thus becomes a window onto Brazil’s imperial formation, revealing how ordinary actors navigated the ambiguities of empire-building.