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Global Navigation Satellite Systems (GNSS) face Common-Mode Errors (CMEs) such as atmospheric delays. While techniques like Differential GNSS (DGNSS) or Precise Point Positioning (PPP) mitigate these errors, Real-Time PPP (RT-PPP) emerges as a promising solution for smart cities and Connected Autonomous Vehicles (CAVs) by enhancing accuracy without reference stations. In Latin America, RT-PPP users benefit from Global Ionospheric Models (GIMs) from the International GNSS Service (IGS) and Vertical Total Electron Content (VTEC) maps from the University of La Plata (MAGN). This work comprehensively compares these products via simulated RT processing, focusing on Single-Frequency (SF) Real-Time Single Point Positioning (RT-SPP), which is crucial for low-cost GNSS-equipped CAV applications. Results demonstrate that MAGN predicts VTEC better across Latin America, showing a 46% average improvement. Consequently, MAGN-based RT-SPP achieves 67% and 21% higher horizontal and total positioning accuracies compared to IGS-based RT-SPP across various test scenarios using extensive observation data.
Large-scale streaky structures (LSSs) in a temporally developing compressible turbulent mixing layer are investigated using numerical simulations at convective Mach numbers up to $M_c = 5.0$, corresponding to turbulent Mach numbers approaching 1.0. This significantly extends existing numerical studies of compressible mixing layers, which are typically limited to convective Mach numbers of $M_c \approx 2.0$, far below the flow conditions encountered in practical applications such as rocket engines and hypersonic vehicles. As compressibility increases, the growth rate of the momentum thickness decreases continuously without showing signs of saturation, accompanied by a significant increase in the length of the LSSs. In instantaneous flow field, the length of LSSs can exceed 100 times the vorticity thickness $\delta _\omega$ at $ M_c=4.0$. This behaviour is closely connected to the reduction of the pressure–strain redistribution of turbulent kinetic energy with increasing Mach number. Under strong compressibility, the growth stage is dominated by the streamwise components of production and dissipation, generating long, coherent streaks. As small-scale motions emerge, pressure–strain redistribution intensifies, transferring energy from the streamwise to the vertical and spanwise components and inducing streak meandering and breakdown. In the self-similar regime, production, dissipation and redistribution of kinetic energy reach a dynamic equilibrium. The spanwise scale of the LSSs is weakly affected by compressibility and converges to $0.4\delta _\omega$ with the increase of Mach number. Increasing compressibility enhances flow anisotropy, leading to the progressive reduction of vertical and spanwise turbulent kinetic energy relative to the streamwise component, with the vertical component experiencing a more pronounced reduction.
The Southern-sky MWA Rapid Two-metre (SMART) survey, which capitalises on the MWA’s large field of view and voltage recording capability, is an ambitious effort to conduct sensitive searches for pulsars and fast transients in the 140–170MHz band. The novelty of voltage recording, long dwell times (4800 s) and the high-time and -frequency resolutions (100 μs/10-kHz) exchange a large survey speed (∼ 450 deg2 h–1) for high computational cost. The survey covers the entire sky south of +30° in declination through a series of dedicated observing campaigns, accumulating nearly four petabytes of data. The large volumes of data and the processing challenges at low frequencies necessitate data processing to be approached in multiple phases, and the initial searches focused on a first-pass (shallow) survey of parts of the skies, as reported in earlier papers in this series. These data are also processed for re-detections of hundreds of known pulsars in the southern sky, many of which are also the first detections at frequencies below 400 MHz. This paper is motivated by the need to address the inherent difficulties (for the wider community) in handling large amounts of voltage data and software/processing challenges for routine pulsar detections, and also by the fast-evolving landscape of the SKA Observatory (SKAO).With the construction and commissioning ramping up towards the full-scale SKA-Low, a low-frequency catalogue of detectable pulsars in the southern sky will prove to be a valuable reference for the science verification exercise. A growing sample of low-frequency pulsar detections and measurements will also prove invaluable in a variety of science applications including population studies, survey simulations and emission beam models, refining interstellar medium models for electron densities and the spatial distribution of turbulence, and also for forecasting the detection prospects and survey yield from pulsar surveys planned with SKA-Low. We also present an electronic catalogue of various data products, including pulse profiles, time series and multi-channel folded archives, along with the measurements of dispersion and rotation measures, and mean flux densities for the detected pulsars, and this will be periodically updated as more detections flow on from the ongoing data processing.
Dietary biomarkers may help objectively assessing dietary pattern adherence. This study performed K-means clustering analysis on quantitative food diary data from a dietary intervention study. Standardised dietary data (134 food diaries) from 57 participants were K-means clustered stepwise until fully optimised and cross-validated. The primary endpoint was to develop distinct dietary clusters and to evaluate the performanceof 90 plasma metabolites. The secondary endpoint was to analyse the biomarker-food groups relationships from those distinct dietary patterns. The final two cluster models comprised of 6 specific food types. Cluster 1 included participants with higher intake of fruit and vegetables, legumes, fish and whole grain cereals, and lower intake of meat and sweet foods than Cluster 2. Ten plasma metabolites significantly differed between the clusters (p < 0.05; q < 0.05) with reasonable biomarker performance (receiver operating characteristic (ROC): 0.64–0.72). Docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA), α-linolenic acid, citric acid and vitamin C were significantly higher in Cluster 1, whereas adrenic acid, osbond acid, cholesterol, dihomo-γ-linolenic acid (DGLA) and triglycerides were higher in Cluster 2. Five additional metabolites also showed significant differences (p < 0.02; q < 0.11) and were included: palmitic acid, tyrosine, β-carotene, α-carotene and betaine. The DHA-to-Osbond acid ratio was an optimal indicator distinguishing healthy from unhealthy dietary patterns (ROC: 0.78). Combining clustering and metabolite profiling methods effectively identifies biomarkers of particular dietary patterns and highlights several robust food-metabolite correlations.
This article follows the bicycle journeys of Fanny Bullock and William Hunter Workman as they cycled through the imperial spaces of Algeria, Sri Lanka, and India between 1894 and 1899. It thinks through how a new technology of personal mobility shaped the Workmans’ experience of the world and seeks to better understand the ways the forces of empire both produced and influenced their outlooks. In these spaces of European empire, Fanny Bullock Workman crafted a sense of New Womanhood rooted in the politics of gendered ability and racial superiority that was given intense meaning by a technology socialized as a way to gain authentic experiences of both the past and present. By looking at the ways people moved through overlapping imperial modalities, this article argues, historians can better access the American experience of the world at a granular level.
This paper focuses on Meiji Japan's annexation of the Ryukyus as seen through the eyes of key Western diplomats in the 1870s. Although it played out over seven years, the annexation process unfolded relatively smoothly on the international stage. One reason for this was the skill with which Japanese diplomats handled inquiries and potential protests by Western diplomats. In this article, I show that, as early as 1872, leading members of the Meiji government were gaining familiarity with the nuances of Western diplomatic maneuvering. Indeed, in some ways the annexation functioned as a rehearsal for future diplomatic challenges the regime would face. In retrospect, it offers an excellent lens through which to view Japanese diplomacy of the 1870s.
This article examines the evolving role of English in Morocco’s linguistic landscape, historically dominated by Arabic and French. It explores the socio-political, educational, and economic drivers behind the rise of English, particularly in the context of global integration efforts. Drawing on policy analysis, recent academic studies, and local practices, the paper investigates the growing prominence of English in higher education, the private sector, digital entrepreneurship, and youth culture. The analysis concludes that English is not replacing French but rather reshaping Morocco’s sociolinguistic landscape.
This study investigates the constructed meanings and symbolic functions of the Chinese English buzzword ‘city walk’, which has evolved into a significant cultural phenomenon for young urbanites in China. The term gained popularity as the COVID‑19 pandemic catalyzed the emergence of micro‑tourism. Drawing on an adapted framework of the symbolic power of language (Kramsch 2020), the researchers conducted a thematic analysis of the metapragmatic discourse of ‘city walk’ from Xiaohongshu, a popular Chinese social media platform. The findings reveal two key symbolic dimensions: (1) ‘city walk’ functions as a symbol of global imagination and cultural taste, with its meaning reconstructed to index users’ pursuit of fashion and cosmopolitanism; and (2) it serves as a form of ritual resistance against the ‘sense of powerlessness’ against societal pressures like overwork culture, while its resistive meaning has been complicated by its subsequent incorporation into consumerism and tourism promotion narratives. These findings reveal how ‘city walk’ functions as a symbolic resource for young people to articulate and negotiate complex identities that bridge global imaginations and specific local socio‑economic contexts, underscoring language’s role as a dynamic mirror of social change.
We identify a novel pathway that links financial globalization to politics. We emphasize the effect of globalization on the relationship between governments and domestic business owners, who, like all borrowers, are subject to “Global Credit Cycles” originating from the U.S. Downturns in these cycles, stemming from high U.S. interest rates, reduce credit availability, depress asset prices, and broadly worsen the outlook for private sector profits. While politicians have limited power to address the underlying financial conditions, they can adopt business-friendly politics to signal their willingness to compensate firms for the higher borrowing costs driven by higher U.S. interest rates. We support our argument with evidence from party manifestos across 59 countries, covering 1963 to 2017. Our paper documents a new connection between global credit cycles and party positions during an era of largely unrestricted capital mobility.
Biodesign education increasingly engages with living and bio-based materials whose temporal, relational, and ecological properties challenge established modes of material archiving and teaching. Conventional material libraries, oriented toward stabilisation and preservation, are poorly equipped to address growth, contamination, and decay as constitutive material processes. This paper proposes a reconceptualisation of material libraries as living material archives: dynamic epistemic infrastructures that foreground transformation, care, and finitude rather than control. Drawing on feminist technoscience and material culture studies, the paper develops three conceptual lenses – cross-contamination, sympoiesis, and the website as garden – to examine how material and digital archives can support situated knowledge production in biodesign education. These perspectives are grounded in a detailed case study of the Living Library, a hybrid analogue–digital teaching project developed at the Karlsruhe University of Arts and Design. The paper demonstrates how temporary, process-oriented archives can operationalise ecological responsibility, disciplinary openness, and regenerative learning practices.
Mechanical cultivation can utilize more than one type of weed control implement in the same pass. Implements may even be synergistically “stacked” to maximize efficacy. However, in previous trials, stacked setups caused unacceptable damage to crops. In this study, several changes to previously used cultivation setups were made, including adding global positioning system guidance, using sweeps rather than torsion weeders, and spacing the implements farther from the crop. In test crops of snap beans and beets, stacked three-tool combinations resulted in greater weed-control efficacy with no significant decrease in the survival of well-established crops – thereby providing improved selectivity. Within one-, two-, or three-tool categories, there were few differences, except that the harrow-type implements were often less aggressive than the other tools. Combining all our trials, the crop-to-weed height ratio appeared to be a main driver of intrarow cultivation success, but stacking still provided a benefit. Specifically, to achieve successful cultivation with 80% weed control and 5% or less crop mortality, we modeled that one, two, and three tool combinations required crop-to-weed height ratios of at least 6.2, 5.6, and 3.6, respectively. Based on these trials, farmers may improve their cultivation selectivity by creating conditions in which their crops are as large as possible relative to weeds and by using precisely guided, stacked cultivation implements adjusted to minimize contact with crops.
Time-varying coefficient modeling (TVCM), which represents regression coefficients as smooth functions of continuous time, provides a flexible framework for uncovering complex patterns of change in levels and associations in intensive longitudinal data. However, conventional TVCM remains limited to investigating directional effects across individuals. By introducing a TVCM formulation of the multivariate normal distribution, the present study extends TVCM to explore change in undirected associations (couplings) and variability, thereby broadening its utility for psychological research. We discuss three versions of this approach: an aggregate-level model and two hierarchical versions capturing interindividual differences in unfolding change, either via person-specific intercepts accounting for onset differences or through fully person-specific coefficient functions smoothed via partial pooling. To illustrate the proposed developments, we apply them to six weeks of intensive longitudinal data from 16 anxiety patients undergoing therapy and examine unfolding changes in the level and volatility of nervousness and threat monitoring, their coupling, as well as between-person heterogeneity in each of these. We further show how inspecting first-order derivatives of the coefficient functions supports identifying periods of stability and change. Finally, we discuss extensions incorporating person-level characteristics to explain heterogeneity in patterns of change and predict outcomes.
Glymphatic system dysfunction has been increasingly implicated in Alzheimer’s disease (AD), yet its relationships with cerebral small vessel disease (CSVD), plasma biomarkers, and cognitive impairment across the AD remain incompletely understood.
Methods
We prospectively recruited 216 participants from Hainan General Hospital, including healthy controls (HC), individuals with subjective cognitive decline (SCD), mild cognitive impairment (MCI), and AD dementia. All participants underwent brain magnetic resonance imaging, plasma biomarker testing, and neuropsychological assessments. White matter hyperintensity (WMH) volume from T2-weighted fluid-attenuated inversion recovery images served as a marker of CSVD. The diffusion tensor image analysis along the perivascular space (DTI-ALPS) index assessed glymphatic function. Plasma amyloid β-protein (Aβ) concentrations measured peripheral Aβ levels as a surrogate indicator of amyloid pathology.
Results
The ALPS index was significantly lower in AD patients compared with HC, SCD, and MCI groups (all P < 0.01) and tended to be lower in the MCI group relative to SCD. After controlling for demographics and APOE4 status, ALPS positively correlated with the plasma Aβ42/Aβ40 ratio (r = 0.16, P = 0.038). ALPS index showed significant negative correlations with log-transformed juxtaventricular and juxtacortical WMH volumes (r = −0.32, P < 0.001; r = −0.19, P = 0.010), with marginal correlation for periventricular WMH (r = −0.13, P = 0.052).
Conclusion
Plasma Aβ levels and regional WMH burden are associated with glymphatic dysfunction as indicated by reduced ALPS. Impaired glymphatic clearance also correlates with cognitive impairment, providing theoretical support for novel pathophysiological hypotheses and potential therapeutic targets in AD pathogenesis.
Wall-bounded turbulent flows consist of multiple zones of relatively uniform streamwise velocity, known as uniform momentum zones (UMZs), separated by thin shear layers across which sharp velocity jumps occur. These zonal-like arrangements form a hierarchy consistent with the self-similar eddies postulated in Townsend’s attached-eddy hypothesis (AEH). However, whether the velocity fields carried by UMZs exhibit the asymptotic behaviours predicted by the AEH remains unclear because UMZs coexist over a wide range of scales. Here, we extract wall-scaled UMZs characterised by the wall-normal distance ($y$) and the friction velocity ($u_\tau$), and examine the velocity fields within them in the context of the AEH. We analyse direct numerical simulation data of turbulent pipe flow at friction Reynolds numbers $\textit{Re}_\tau = 550$–$6000$. The number of UMZs increases logarithmically with $\textit{Re}_\tau$, while their interface velocities span a wide range, reflecting their hierarchical organisation. We identify wall-scaled UMZs exhibiting linear growth of thickness with $y$ and velocity jumps scaled by $u_\tau$. The turbulence statistics associated with these UMZs reveal a common wall-normal range, $5\textit{Re}_\tau ^{-1/2} \lt y/R \lt 0.2$ (where $R$ is the pipe radius), over which the mean velocity follows the logarithmic law and the wall-parallel turbulence intensities exhibit logarithmic variation. Within this range, constant regions emerge in the wall-normal turbulence intensity and the Reynolds shear stress wherever the number of UMZs exceeds its mean. The probability density functions (PDFs) of the velocity fluctuations within the wall-scaled UMZs exhibit $\textit{Re}_\tau$-independent self-similarity, characterised by near-zero skewness across the logarithmic region. Consistently, the Kullback–Leibler divergence remains approximately constant, confirming invariant PDF shapes in $y$. These findings demonstrate that the wall-scaled UMZs are directly related to the logarithmic layer and provide a structural basis for the statistical behaviour of wall-bounded turbulence.