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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.
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.
Ad hoc coalitions (AHCs) have been a persistent feature of global governance. However, only recently have they become the focus in governance scholarship. Why are they created, and how do they vary in their composition and afterlife? We examine AHCs since 1919 across health and security governance challenges. Our analysis rests on archival material from international organizations (IOs) and national governments. We argue that, in bringing together political rivals, AHCs serve three primary purposes. Firstly, as agenda setters, they address new governance challenges. Secondly, as capacity generators, they reshuffle membership compositions. Finally, as decision accelerators, they enable their members to bypass existing IOs. Beyond these commonalities, notable differences exist that are rooted in relative issue salience. Less salient issues are often led by bureaucrats and experts, glossing over political agendas and mediating between rivals. This set-up often leads to permanent cooperative structures. Issues that decision-makers perceive as highly salient occupy the attention of politicians who want to keep the coalition small. As a result, rivalries can easily come to the fore, leading to short-lived coalitions. Overall, AHCs point to more or less exclusionary action that serves as a testing ground for international cooperation in times of uncertainty and (geo)political crises.
Extreme hot weather poses increasing risks to mental health. Yet, factors affecting vulnerability are under-researched. This mixed-method study integrates a systematic review and qualitative investigation to identify risk and protective factors for heat-related mental health issues, leading to the co-development of a screening tool. This could inform future research and, pending validation in clinical settings, support mental health professionals in assessing vulnerability among service users.
Methods
We searched PubMed and Web of Science for publications on extreme heat, mental health, and risk/protective factors. In addition, we conducted six focus groups with 21 people with lived experience of heat and/or mental illness and 12 healthcare professionals. Transcripts were analyzed using thematic content analysis and informed the co-development of the screening tool.
Results
Out of 764 articles identified by the systematic review, 47 were included. Evidence emerged for age, sex, existing mental illness, ethnicity, and socioeconomic status as risk factors. However, findings were inconsistent between studies, likely due to differences in study population and methodology. Protective effects included good physical health, social support, and exposure to green spaces. Our qualitative investigation identified additional risk and protective factors related to: (1) behavioral adaptability, (2) personal heat sensitivity, and (3) disparities in heat exposure. The resulting screening tool, HEAT-MH (Heat Exposure Assessment Tool for Mental Health), contains 15 questions on previous experiences of heat, general health, and lifestyle.
Conclusions
The mental health impacts of extreme heat depend on a range of risk and protective factors, including demographic, socioeconomic, health, and lifestyle characteristics.
Shear-thinning fluids flowing near rough or wavy walls are common in engineering and biological applications, yet their behaviour remains poorly understood. Direct numerical simulation of highly shear-thinning flows is computationally demanding or even infeasible, so convenient methods for accessing this regime are highly sought after. We partially overcome this challenge for the stability analysis of the laminar base flow in the classical test case of flow in an axisymmetric corrugated pipe by employing a large-Reynolds-number asymptotic analysis. First, we obtain the analytic neutral curve for power-law fluids using only the leading order terms. To improve predictive accuracy and to handle more general Carreau–Yasuda fluids, we then develop an asymptotic preserving reduction (APR) that retains several higher order terms. Both approaches show good agreement with full system results computed using a spectral element solver for moderately shear-thinning fluids, including the streaky characteristics of the perturbation flow fields. Furthermore, we extend the stability predictions to strongly shear-thinning fluids. Using APR with Carreau–Yasuda parameters relevant to the experiments, we find that under certain conditions, the instability can arise even for very small wall undulations.
While initial anhedonia predicts poor psychotherapy outcomes, little is known about its trajectory during treatment. This study aimed to: (1) identify distinct anhedonia trajectories during high-intensity depression treatment; (2) examine patient and treatment predictors; and (3) compare outcomes across treatment types.
Methods
Sessional anhedonia scores (PHQ-9 item-1) from 22,605 patients in NHS talking therapies (primarily receiving either cognitive-behavioral therapy [CBT] or counseling for depression [CfD]) were analyzed using latent growth curve (LGC) and growth mixture modeling. Multinomial logistic regression examined predictors of class membership.
Results
A quadratic LGC model best fit the data, reflecting a decrease in symptoms before leveling out. Six latent classes emerged. Notably, three “non-responder” classes characterized by linear-stable or minimal-change patterns comprised over 50% of the sample (51.3%). In contrast, two “responder” classes (41.4%) exhibited improvement, typically shifting between sessions 4 and 6. This suggests an early “inflection point” where the trajectory of recovery is established. Poorer response was predicted by unemployment, chronic health conditions, psychotropic medication, and longer wait times. There was only a sufficient sample size to compare CBT and CfD treatment types. While CBT was associated with membership in specific classes, the probability of being a “responder” did not differ significantly between CBT and CfD.
Conclusions
Most patients followed non-responder trajectories, highlighting a major efficacy gap for anhedonia in standard depression protocols. The 4–6 session window suggests that if improvement is not observed early, the treatment strategy may require further evaluation. Further research into targeted anhedonia interventions is essential.
This study investigates turbulent open-channel flow over spanwise-heterogeneous roughness strips composed of fixed spherical elements, with emphasis on the interaction between roughness-induced secondary currents (SCs) and very-large-scale motions (VLSMs). Direct numerical simulations are performed at friction Reynolds numbers ${\textit{Re}}_{\tau }\approx 492$–$538$, with an additional homogeneous-roughness reference case at ${\textit{Re}}_{\tau }\approx 639$. The roughness strips generate persistent, geometry-locked SCs that organise the mean flow into alternating high- and low-momentum pathways, and substantially enhance form-induced stresses relative to both the smooth-wall and homogeneous-roughness references. Rather than uniformly amplifying large-scale motions, the roughness induces a sign-dependent reorganisation of VLSMs: negative-velocity VLSMs are preferentially concentrated above the roughness strips, whereas positive-velocity VLSMs occur more frequently in the inter-strip regions. Conditional correlations further show that, although VLSMs are preferentially identified in the outer region, their strongest statistical footprint remains closely connected to near-wall regions influenced by SC-driven momentum redistribution. Spectral analyses reveal a dynamically connected two-scale pathway, consisting of an outer-scale organisational footprint at $\lambda _z/h=O(1)$ and a smaller near-wall active scale at $\lambda _z/h\approx 0.3$. These results show that roughness-induced SCs govern both the kinematic organisation and the energy-redistribution pathways of VLSMs in spanwise-heterogeneous open-channel flow.
Land snails of the genus Poecilozonites, endemic to Bermuda, have undergone precipitous declines, and both extant species, P. bermudensis and P. circumfirmatus, are categorized as Critically Endangered on the IUCN Red List. Here we report on recovery efforts to reintroduce P. bermudensis derived from a remnant wild population and ex situ breeding programme to within the species’ indigenous range. Follow-up monitoring of initial reintroductions on the small Nonsuch Island carried out over 7 years revealed that the snails rapidly established a self-sustaining population at one of three release sites. By 2023, the snails, released in 2016, had increased their area of occupancy to 6,849 m2, moved up to 92 m from the release site, and reached an estimated mean density of up to 44.2 adult snails/m2. Across the archipelago, we released 105,970 P. bermudensis (adults and juveniles) to 11 offshore islands and 16 main island sites from 2019 to 2022. Based on persistence, reproduction, and expansion from the release site after at least 1 year from release, reintroductions to six offshore islands were successful, but those on the main island failed, possibly because of higher predation pressure and paucity of suitable refuges. Controlling predators, such as rodents, and safeguarding these offshore islands against predator incursion is essential to ensure continued survival of the reintroduced populations.
Cognitive difficulties, including problems with attention and executive processing, are common in major depressive disorder (MDD), and strongly predict psychosocial and occupational functioning. Impairment in sustained attention contributes to increased intra-individual variability (IIV) in reaction times observed during cognitive tasks. Understanding brain network changes associated with IIV could guide novel neuromodulation strategies targeting cognitive difficulties.
Methods
We analyzed baseline resting-state fMRI data from 209 patients with moderate-to-severe treatment-resistant MDD who participated in the BRIGhTMIND neuromodulation trial. Following a preregistered analytic protocol, we examined associations between: functional connectivity across three core brain networks (executive control, ECN; default mode, DMN; and salience network, SN); components of IIV derived from a choice reaction time task (using a three-parameter ex-Gaussian model); and functioning.
Results
Greater IIV was linked to increased ECN-DMN functional connectivity. The ECN supports top-down control and externally directed cognition, while the DMN supports internal mentation and rumination. ECN-DMN connectivity was modulated by the SN, which prioritizes salient internal and external stimuli. Higher SN-ECN connectivity was associated with lower ECN-DMN connectivity and with faster mean reaction times. Both IIV and mean reaction time predicted functioning, with poorer functioning related to a slowed and inflexible response pattern.
Conclusions
Distinct components of reaction time variability are associated with specific patterns of brain network connectivity, largely independent of mood severity. Connectivity between the salience and executive control networks may represent a promising target for neuromodulation interventions focused on cognitive deficits in MDD.
This work investigates how ecological literacy and nature connectedness can be fostered in children aged 8–12 through engagement with a toolkit for place-based nature education. Children growing up in urban environments often lack access to nature, leading to lower ecological literacy and feeling less connected to the natural world. To help children reconnect with nature, we propose situating nature education in local environments, facilitated by a toolkit developed through a research-through-design approach that combines methods and perspectives from material-driven, participatory, and more-than-human design. Material explorations and a workshop with primary school children informed the conceptualisation of the toolkit, which invites children to shape mycelium-receptive artefacts, place them in local environments, and observe their transformation over time. Using clay as a substitute material, the shaping and placing activities were tested with 71 primary school children across four classes, alongside imaginative and reflective activities to encourage empathy and sensitivity toward fungi. Findings suggest that the shaping, placing, and reflecting activities can support ecological literacy and caring relationships with non-human organisms, indicating the potential of place-based, more-than-human learning tools to enrich nature education and reconnect children with nature.