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While global financial capital is abundant, it flows into corporate investments and real estate rather than climate change actions in cities. Political will and public pressure are crucial to redirecting funds. Studies of economic impacts underestimate the costs of climate disasters, especially in cities, so they undermine political commitments while understating potential climate-related returns. The shift of corporate approaches towards incorporating environmental, social, and governance (ESG) impacts offers promise for private-sector climate investments but are recently contested. Institutional barriers remain at all levels, particularly in African cities. Since the Global North controls the world's financial markets, new means of increasing funding for the Global South are needed, especially for adaptation. Innovative financial instruments and targeted use of environmental insurance tools can upgrade underdeveloped markets and align urban climate finance with ESG frameworks. These approaches, however, require climate impact data collection, programs to improve cities' and countries' creditworthiness, and trainings. This title is also available as open access on Cambridge Core.
Avocado is a delicious fruit crop having great economic importance. Understanding the extent of variability present in the existing germplasm is important to identify genotypes with specific traits and their utilization in crop improvement. The information on genetic variability with respect to morphological and biochemical traits in Indian avocados is limited and as it has hindered genetic improvement of the crop. In the current study, 83 avocado accessions from different regions of India were assessed for important 17 morphological and 8 biochemical traits. The results showed the existence of wide variability for traits such as fruit weight (75.88–934.12 g), pulp weight (48.08–736.19 g), seed weight (6.37–32.62 g), FRAP activity (27.65–119.81 mg AEAC/100 g), total carotenoids (0.96–7.17 mg/100 g), oil content (4.91–25.49%) and crude fibre (6.85–20.75%) in the studied accessions. The first three components of principal component analysis explained 54.79 per cent of total variance. Traits such as fruit weight, pulp weight, seed weight, moisture and oil content contributed more significantly towards total variance compared to other traits. The dendrogram constructed based on Euclidean distance wards minimum variance method divided 83 accessions into two major groups and nine sub clusters suggesting wide variability in the accessions with respect to studied traits. In this study, superior accessions for important traits such as fruit size (PA-102, PA-012), high pulp recovery (PA-036, PA-082,), thick peel (PA-084, PA-043, PA-011, PA-008), high carotenoids (PA-026, PA-096) and high oil content (PA-044, PA-043, PA-046, PA-045) were identified which have potential utility in further crop improvement programmes.
We develop explicit bounds for the tail of the distribution of the all-time supremum of a random walk with negative drift, where the increments have a truncated heavy-tailed distribution. As an application, we consider a ruin problem in the presence of reinsurance.
The First Large Absorption Survey in H i (FLASH) is a large-area radio survey for neutral hydrogen in and around galaxies in the intermediate redshift range 0.4 < z < 1.0, using the 21-cm H i absorption line as a probe of cold neutral gas. The survey uses the ASKAP radio telescope and will cover 24,000 deg2 of sky over the next five years. FLASH breaks new ground in two ways – it is the first large H i absorption survey to be carried out without any optical preselection of targets, and we use an automated Bayesian line-finding tool to search through large datasets and assign a statistical significance to potential line detections. Two Pilot Surveys, covering around 3000 deg2 of sky, were carried out in 2019-22 to test and verify the strategy for the full FLASH survey. The processed data products from these Pilot Surveys (spectral-line cubes, continuum images, and catalogues) are public and available online. In this paper, we describe the FLASH spectral-line and continuum data products and discuss the quality of the H i spectra and the completeness of our automated line search. Finally, we present a set of 30 new H i absorption lines that were robustly detected in the Pilot Surveys, almost doubling the number of known H i absorption systems at 0.4 < z < 1. The detected lines span a wide range in H i optical depth, including three lines with a peak optical depth τ > 1, and appear to be a mixture of intervening and associated systems. Interestingly, around two-thirds of the lines found in this untargeted sample are detected against sources with a peaked-spectrum radio continuum, which are only a minor (5-20%) fraction of the overall radio-source population. The detection rate for H i absorption lines in the Pilot Surveys (0.3 to 0.5 lines per 40 deg2 ASKAP field) is a factor of two below the expected value. One possible reason for this is the presence of a range of spectral-line artefacts in the Pilot Survey data that have now been mitigated and are not expected to recur in the full FLASH survey. A future paper in this series will discuss the host galaxies of the H i absorption systems identified here.
The Australian SKA Pathfinder (ASKAP) offers powerful new capabilities for studying the polarised and magnetised Universe at radio wavelengths. In this paper, we introduce the Polarisation Sky Survey of the Universe’s Magnetism (POSSUM), a groundbreaking survey with three primary objectives: (1) to create a comprehensive Faraday rotation measure (RM) grid of up to one million compact extragalactic sources across the southern ∼ 50 per cent of the sky (20,630 deg2); (2) to map the intrinsic polarisation and RM properties of a wide range of discrete extragalactic and Galactic objects over the same area; and (3) to contribute interferometric data with excellent surface brightness sensitivity, which can be combined with single-dish data to study the diffuse Galactic interstellar medium. Observations for the full POSSUM survey commenced in May 2023 and are expected to conclude by mid-2028. POSSUM will achieve an RM grid density of around 30–50 RMs per square degree with a median measurement uncertainty of ∼1 rad m−2. The survey operates primarily over a frequency range of 800–1088 MHz, with an angular resolution of 20″ and a typical RMS sensitivity in Stokes Q or U of 18 μJy beam−1. Additionally, the survey will be supplemented by similar observations covering 1296–1440 MHz over 38 per cent of the sky. POSSUM will enable the discovery and detailed investigation of magnetized phenomena in a wide range of cosmic environments, including the intergalactic medium and cosmic web, galaxy clusters and groups, active galactic nuclei and radio galaxies, the Magellanic System and other nearby galaxies, galaxy halos and the circumgalactic medium, and the magnetic structure of the Milky Way across a very wide range of scales, as well as the interplay between these components. This paper reviews the current science case developed by the POSSUM Collaboration and provides an overview of POSSUM’s observations, data processing, outputs, and its complementarity with other radio and multi-wavelength surveys, including future work with the SKA.
Neuropsychiatry training in the UK currently lacks a formal scheme or qualification, and its demand and availability have not been systematically explored. We conducted the largest UK-wide survey of psychiatry trainees to examine their experiences in neuropsychiatry training.
Results
In total, 185 trainees from all UK training regions completed the survey. Although 43.6% expressed interest in a neuropsychiatry career, only 10% felt they would gain sufficient experience by the end of training. Insufficient access to clinical rotations was the most common barrier, with significantly better access in London compared with other regions. Most respondents were in favour of additional neurology training (83%) and a formal accreditation in neuropsychiatry (90%).
Clinical implications
Strong trainee interest in neuropsychiatry contrasts with the limited training opportunities currently available nationally. Our survey highlights the need for increased neuropsychiatry training opportunities, development of a formalised training programme and a clinical accreditation pathway for neuropsychiatry in the UK.
The kinetic stability of collisionless, sloshing beam-ion ($45^\circ$ pitch angle) plasma is studied in a three-dimensional (3-D) simple magnetic mirror, mimicking the Wisconsin high-temperature superconductor axisymmetric mirror experiment. The collisional Fokker–Planck code CQL3D-m provides a slowing-down beam-ion distribution to initialize the kinetic-ion/fluid-electron code Hybrid-VPIC, which then simulates free plasma decay without external heating or fuelling. Over $1$–$10\;\mathrm{\unicode{x03BC} s}$, drift-cyclotron loss-cone (DCLC) modes grow and saturate in amplitude. The DCLC scatters ions to a marginally stable distribution with gas-dynamic rather than classical-mirror confinement. Sloshing ions can trap cool (low-energy) ions in an electrostatic potential well to stabilize DCLC, but DCLC itself does not scatter sloshing beam-ions into the said well. Instead, cool ions must come from external sources such as charge-exchange collisions with a low-density neutral population. Manually adding cool $\mathord {\sim } 1\;\mathrm{keV}$ ions improves beam-ion confinement several-fold in Hybrid-VPIC simulations, which qualitatively corroborates prior measurements from real mirror devices with sloshing ions.
We examine the optical counterparts of the 1829 neutral hydrogen (H I) detections in three pilot fields in the Widefield ASKAP L-band Legacy All-sky Blind surveY (WALLABY) using data from the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys DR10. We find that 17 per cent (315) of the detections are optically low surface brightness galaxies (LSBGs; mean g-band surface brightness within 1 Re of > 23 mag arcsec−2) and 3 per cent (55) are optically ‘dark’. We find that the gas-rich WALLABY LSBGs have low star formation efficiencies, and have stellar masses spanning five orders of magnitude, which highlights the diversity of properties across our sample. 75 per cent of the LSBGs and all of the dark H I sources had not been catalogued prior to WALLABY. We examine the optically dark sample of the WALLABY pilot survey to verify the fidelity of the catalogue and investigate the implications for the full survey for identifying dark H I sources. We assess the H I detections without optical counterparts and identify 38 which pass further reliability tests. Of these, we find that 13 show signatures of tidal interactions. The remaining 25 detections have no obvious tidal origin, so are candidates for isolated galaxies with high H I masses, but low stellar masses and star-formation rates. Deeper H I and optical follow-up observations are required to verify the true nature of these dark sources.
We present the Evolutionary Map of the Universe (EMU) survey conducted with the Australian Square Kilometre Array Pathfinder (ASKAP). EMU aims to deliver the touchstone radio atlas of the southern hemisphere. We introduce EMU and review its science drivers and key science goals, updated and tailored to the current ASKAP five-year survey plan. The development of the survey strategy and planned sky coverage is presented, along with the operational aspects of the survey and associated data analysis, together with a selection of diagnostics demonstrating the imaging quality and data characteristics. We give a general description of the value-added data pipeline and data products before concluding with a discussion of links to other surveys and projects and an outline of EMU’s legacy value.
The stars of the Milky Way carry the chemical history of our Galaxy in their atmospheres as they journey through its vast expanse. Like barcodes, we can extract the chemical fingerprints of stars from high-resolution spectroscopy. The fourth data release (DR4) of the Galactic Archaeology with HERMES (GALAH) Survey, based on a decade of observations, provides the chemical abundances of up to 32 elements for 917 588 stars that also have exquisite astrometric data from the Gaia satellite. For the first time, these elements include life-essential nitrogen to complement carbon, and oxygen as well as more measurements of rare-earth elements critical to modern-life electronics, offering unparalleled insights into the chemical composition of the Milky Way. For this release, we use neural networks to simultaneously fit stellar parameters and abundances across the whole wavelength range, leveraging synthetic grids computed with Spectroscopy Made Easy. These grids account for atomic line formation in non-local thermodynamic equilibrium for 14 elements. In a two-iteration process, we first fit stellar labels to all 1 085 520 spectra, then co-add repeated observations and refine these labels using astrometric data from Gaia and 2MASS photometry, improving the accuracy and precision of stellar parameters and abundances. Our validation thoroughly assesses the reliability of spectroscopic measurements and highlights key caveats. GALAH DR4 represents yet another milestone in Galactic archaeology, combining detailed chemical compositions from multiple nucleosynthetic channels with kinematic information and age estimates. The resulting dataset, covering nearly a million stars, opens new avenues for understanding not only the chemical and dynamical history of the Milky Way but also the broader questions of the origin of elements and the evolution of planets, stars, and galaxies.
We introduce a new approach to quantifying dust in galaxies by combining information from the Balmer decrement (BD) and the dust mass (Md). While there is no explicit correlation between these two properties, they jointly probe different aspects of the dust present in galaxies. We explore two new parameters that link BD with Md by using star formation rate sensitive luminosities at several wavelengths (ultraviolet, Hα, and far-infrared). This analysis shows that combining the BD and Md in these ways provides new metrics that are sensitive to the degree of optically thick dust affecting the short wavelength emission. We show how these new “dust geometry” parameters vary as a function of galaxy mass, star formation rate, and specific star formation rate. We demonstrate that they are sensitive probes of the dust geometry in galaxies, and that they support the “maximal foreground screen” model for dust in starburst galaxies.
We measured the harmonic-space power spectrum of galaxy clustering auto-correlation from the Evolutionary Map of the Universe Pilot Survey 1 data (EMU PS1) and its cross-correlation with the lensing convergence map of cosmic microwave background (CMB) from Planck Public Release 4 at the linear scale range from l = 2 to 500. We applied two flux density cuts at 0.18 and 0.4mJy on the radio galaxies observed at 944MHz and considered two source detection algorithms. We found the auto-correlation measurements from the two algorithms at the 0.18mJy cut to deviate for l ≳ 250 due to the different criteria assumed on the source detection and decided to ignore data above this scale. We report a cross-correlation detection of EMU PS1 with CMB lensing at ∼5.5σ, irrespective of flux density cut. In our theoretical modelling we considered the SKADS and T-RECS redshift distribution simulation models that yield consistent results, a linear and a non-linear matter power spectrum, and two linear galaxy bias models. That is a constant redshift-independent galaxy bias b(z) = bg and a constant amplitude galaxy bias b(z) = bg/D(z). By fixing a cosmology model and considering a non-linear matter power spectrum with SKADS, we measured a constant galaxy bias at 0.18mJy (0.4mJy) with and a constant amplitude bias with . When σ8 is a free parameter for the same models at 0.18mJy (0.4mJy) with the constant model we found , while with the constant amplitude model we measured , respectively. Our results agree at 1σ with the measurements from Planck CMB and the weak lensing surveys and also show the potential of cosmology studies with future radio continuum survey data.
Hospital food service quality significantly impacts patient satisfaction with overall care(1) and can influence food intake, thereby increasing the risk of malnutrition(2). By contrast, meals tailored to patients’ needs result in lower complications and hospitalisation costs(3). With Australia’s ageing population and projected increases among racial and ethnic minority migrants, service delivery must adapt to promote equity and inclusion in the healthcare system. However, data is lacking on the lived experience, preferences, and acceptance of hospital food service and meal quality among older patients from culturally and linguistically diverse (CALD) backgrounds. This study aimed to bridge this gap by investigating the differences in hospital food services related to cultural and ethnic backgrounds. Semi-structured qualitative interviews were planned among 15 Australian-born and 15 CALD-background patients, aged 65 years or over, admitted to the Department of General Medicine at Flinders Medical Centre. Patients admitted with a highly contagious infectious disease (e.g., COVID-19), those referred for palliative care, receiving parenteral or enteral nutrition, or on nil-by-mouth orders were excluded. Translators were available to participants upon request. With participants’ consent, all interviews were audio recorded and transcribed verbatim. Transcripts were analysed thematically using Braun and Clarke’s six-phase process(4). Data was inductively coded with a phenomenological perspective to explore participants’ experiences with hospital food services. Similar codes were grouped together and further developed into themes through iterative discussions with the research team. The current analysis involved six participants from each group to present preliminary results. Among the 12 participants, the mean age was 82 years, ranging from 72–92 in the Australian-born group and 68–92 in the CALD group. Five primary themes emerged: (1) No Complaints—participants did not want to complain about their meals, preferring staff to focus on their healthcare. This attitude was compounded for CALD participants who lacked the language to voice complaints; (2) Food and Identity—CALD participants viewed themselves separately from Australian-born patients, with the lack of culturally familiar food contributing to a feeling of being the minority; (3) Acceptance—the food service was viewed in the context of the overall hospital system, with participants accepting that meals may not suit their preference; (4) Experiences of the Food Service—influenced by participant’s individual preferences for meal quality, menu options, and staff interactions; and (5) Nutrition and Health—All participants had a preference for smaller portions due to their perception of reduced nutritional needs, yet meals were also valued for enjoyment. These preliminary results indicate that hospital food services should offer culturally familiar options, improve patient-staff communication, and provide personalised, smaller portions to enhance patient experience. Addressing the enablers and barriers to meeting cultural and individual dietary needs in hospitals will promote equity, diversity, and inclusion in healthcare.
Low vitamin D status (circulating 25-hydroxyvitamin D [25(OH)D] concentration < 50 nmol/L) affects nearly one in four Australian adults(1). The primary source of vitamin D is sun exposure; however, a safe level of sun exposure for optimal vitamin D production has not been established. As supplement use is uneven, increasing vitamin D in food is the logical option for improving vitamin D status at a population level. The dietary supply of vitamin D is low since few foods are naturally rich in vitamin D. While there is no Australia-specific estimated average requirement (EAR) for vitamin D, the Institute of Medicine recommends an EAR of 10 μg/day for all ages. Vitamin D intake is low in Australia, with mean usual intake ranging from 1.8–3.2 μg/day across sex/age groups(2), suggesting a need for data-driven nutrition policy to improve the dietary supply of vitamin D. Food fortification has proven effective in other countries. We aimed to model four potential vitamin D fortification scenarios to determine an optimal strategy for Australia. We used food consumption data for people aged ≥ 2 years (n = 12,153) from the 2011–2012 National Nutrition and Physical Activity Survey, and analytical food composition data for vitamin D3, 25(OH)D3, vitamin D2 and 25(OH)D2(3). Certain foods are permitted for mandatory or voluntary fortification in Australia. As industry uptake of the voluntary option is low, Scenario 1 simulated addition of the maximum permitted amount of vitamin D to all foods permitted under the Australia New Zealand Food Standards Code (dairy products/plant-based alternatives, edible oil spreads, formulated beverages and permitted ready-to-eat breakfast cereals (RTEBC)). Scenarios 2–4 modelled higher concentrations than those permitted for fluid milk/alternatives (1 μg/100 mL) and edible oil spreads (20 μg/100 g) within an expanding list of food vehicles: Scenario 2—dairy products/alternatives, edible oil spreads, formulated beverages; Scenario 3—Scenario 2 plus RTEBC; Scenario 4—Scenario 3 plus bread (which is not permitted for vitamin D fortification in Australia). Usual intake was modelled for the four scenarios across sex and age groups using the National Cancer Institute Method(4). Assuming equal bioactivity of the D vitamers, the range of mean usual vitamin D intake across age groups for males for Scenarios 1 to 4, respectively, was 7.2–8.8, 6.9–8.3, 8.0–9.7 and 9.3–11.3 μg/day; the respective values for females were 5.8–7.5, 5.8–7.2, 6.4–8.3 and 7.5–9.5 μg/day. No participant exceeded the upper level of intake (80 μg/day) under any scenario. Systematic fortification of all foods permitted for vitamin D fortification could substantially improve vitamin D intake across the population. However, the optimal strategy would require permissions for bread as a food vehicle, and addition of higher than permitted concentrations of vitamin D to fluid milks/alternatives and edible oil spreads.
The World Cancer Research Fund and the American Institute for Cancer Research recommend a plant-based diet to cancer survivors, which may reduce chronic inflammation and excess adiposity associated with worse survival. We investigated associations of plant-based dietary patterns with inflammation biomarkers and body composition in the Pathways Study, in which 3659 women with breast cancer provided validated food frequency questionnaires approximately 2 months after diagnosis. We derived three plant-based diet indices: overall plant-based diet index (PDI), healthful plant-based diet index (hPDI) and unhealthful plant-based diet index (uPDI). We assayed circulating inflammation biomarkers related to systemic inflammation (high-sensitivity C-reactive protein [hsCRP]), pro-inflammatory cytokines (IL-1β, IL-6, IL-8, TNF-α) and anti-inflammatory cytokines (IL-4, IL-10, IL-13). We estimated areas (cm2) of muscle and visceral and subcutaneous adipose tissue (VAT and SAT) from computed tomography scans. Using multivariable linear regression, we calculated the differences in inflammation biomarkers and body composition for each index. Per 10-point increase for each index: hsCRP was significantly lower by 6·9 % (95 % CI 1·6%, 11·8%) for PDI and 9·0 % (95 % CI 4·9%, 12·8%) for hPDI but significantly higher by 5·4 % (95 % CI 0·5%, 10·5%) for uPDI, and VAT was significantly lower by 7·8 cm2 (95 % CI 2·0 cm2, 13·6 cm2) for PDI and 8·6 cm2 (95 % CI 4·1 cm2, 13·2 cm2) for hPDI but significantly higher by 6·2 cm2 (95 % CI 1·3 cm2, 11·1 cm2) for uPDI. No significant associations were observed for other inflammation biomarkers, muscle, or SAT. A plant-based diet, especially a healthful plant-based diet, may be associated with reduced inflammation and visceral adiposity among breast cancer survivors.
Prior reports of healthcare-associated respiratory syncytial virus (RSV) have been limited to cases diagnosed after the third day of hospitalization. The omission of other healthcare settings where RSV transmission may occur underestimates the true incidence of healthcare-associated RSV.
Design:
Retrospective cross-sectional study.
Setting:
United States RSV Hospitalization Surveillance Network (RSV-NET) during 2016–2017 through 2018–2019 seasons.
Patients:
Laboratory-confirmed RSV-related hospitalizations in an eight-county catchment area in Tennessee.
Methods:
Surveillance data from RSV-NET were used to evaluate the population-level burden of healthcare-associated RSV. The incidence of healthcare-associated RSV was determined using the traditional definition (i.e., positive RSV test after hospital day 3) in addition to often under-recognized cases associated with recent post-acute care facility admission or a recent acute care hospitalization for a non-RSV illness in the preceding 7 days.
Results:
Among the 900 laboratory-confirmed RSV-related hospitalizations, 41 (4.6%) had traditionally defined healthcare-associated RSV. Including patients with a positive RSV test obtained in the first 3 days of hospitalization and who were either transferred to the hospital directly from a post-acute care facility or who were recently discharged from an acute care facility for a non-RSV illness in the preceding 7 days identified an additional 95 cases (10.6% of all RSV-related hospitalizations).
Conclusions:
RSV is an often under-recognized healthcare-associated infection. Capturing other healthcare exposures that may serve as the initial site of viral transmission may provide more comprehensive estimates of the burden of healthcare-associated RSV and inform improved infection prevention strategies and vaccination efforts.
A promising approach to assessing research impact draws on the Translational Science Benefits Model (TSBM), an evaluation model that tracks the applied benefits of research in four domains: Clinical and Medical; Community and Public Health; Economic; and Policy and Legislative. However, standardized methods to verify TSBM benefit data, to aid in aggregating impact data within quantitative summaries, do not currently exist.
Methods:
A panel of 11 topic experts participated in a modified Delphi process for establishing content and face validity of a set of criteria for verifying qualitative TSBM data. Two survey rounds were completed by panelists, with a moderated discussion in between rounds to discuss criteria not reaching consensus. Criteria with panel consensus at or above 70% in the survey rounds were confirmed as validated.
Results:
Criteria fell into 9 categories: Content Relevant, Project Related, Who, Reach, What, How, Novel, Documented Evidence, and When. The Delphi process yielded 197 total criteria across the 30 benefits characterized by the TSBM (range = 5–8 criteria per benefit).
Discussion:
The results of this Delphi process lay the foundation for developing a TSBM coding tool for evaluating and quantifying TSBM data. Standardizing this process will enable data aggregation, group analysis, and the comparison of research impact across contexts.