Narrowleaf goldenrod [Euthamia graminifolia (L.) Nutt.] is the most common goldenrod species in lowbush blueberry (Vaccinium angustifolium Aiton) fields in Nova Scotia, Canada. Knowledge of ramet emergence and phenological development of this weed is limited, and it is unknown if seedling emergence contributes to the maintenance of established populations. The objectives of this research were to (1) develop predictive GDD models for E. graminifolia ramet emergence and phenological development, (2) determine whether E. graminifolia forms seedbanks in lowbush blueberry fields, and (3) establish whether E. graminifolia seedlings emerge in lowbush blueberry fields. Cumulative E. graminifolia ramet emergence was explained as a function of GDD using a four-parameter Weibull equation that predicted emergence to begin at 72 GDD and 90% emergence to occur at 458 GDD. Cumulative ramets at the flower bud and flowering stages were explained as a function of GDD using a three-parameter Gompertz equation that predicted initiation of the flower bud and flowering stages at 644 and 1,369 GDD, respectively, and 90% of ramets at the flower bud and flowering stages at 1,522 and 2,113 GDD, respectively. Cumulative E. graminifolia seedling emergence ranged from 2.4 ± 0.8 to 4 ± 1 seedlings m−2, suggesting limited seedling emergence in lowbush blueberry fields. Seedling density from soil core samples, however, ranged from 38 ± 25 to 10,940 ± 1,456 seedlings m−2. These results suggest that E. graminifolia forms seedbanks in lowbush blueberry fields, despite the low levels of seedling emergence observed. Euthamia graminifolia seedling management should therefore be considered in current weed control programs, and growers can use the developed GDD models to aid the management of established plants.

This cross-sectional study examined the association between diet price and diet quality in a national sample of Australian adults (n 1956). Diet recall data from the 2020 International Food Policy Study were linked to a national food and beverage price dataset. Daily diet price was calculated by summing the median non-promotional prices of all foods and beverages recorded in diet recall data, priced per gram (or millilitre) and adjusted for edible portions. Diet quality was determined using the Australian Dietary Guideline Index 2013 (scored out of 115). Linear regression models tested the association between the diet price (per dollar and per ten-dollar increments) and diet quality, adjusted for education, age and sex. A positive association was observed, where diet quality increased by 0·09 units (95 % CI 0·05, 0·14) for every $AU 1 increase in diet price. Daily diet price explained approximately 8 % of the variation in diet quality across the sample (R2 = 0·08). When categorised in ten-dollar increments, participants with diet prices < $AU 10/d had a lower mean diet quality score (51·96) compared with all other diet price categories, 5–6 points lower than those whose diet was > $30/d. Diet price appeared to be a modest yet significant determinant of diet quality for Australian adults in 2020. Additional analyses are needed to investigate these associations during recent food inflation. As diet quality appears to be lowest for people who spend the least on food, government action to increase priority communities’ food budgets may help improve the nutritional quality of population diets.

Understanding the properties of lower-carbon concrete products is essential for their effective utilization. Insufficient empirical test data hinders practical adoption of these emerging products, and a lack of training data limits the effectiveness of current machine learning approaches for property prediction. This work employs a random forest machine learning model combined with a just-in-time approach, utilizing newly available data throughout the concrete lifecycle to enhance predictions of 28 and 56 day concrete strength. The machine learning hyperparameters and inputs are optimized through a novel unified metric that combines prediction accuracy and uncertainty estimates through the coefficient of determination and the distribution of uncertainty quality. This study concludes that optimizing solely for accuracy selects a different model than optimizing with the proposed unified accuracy and uncertainty metric. Experimental validation compares the 56-day strength of two previously unseen concrete mixes to the machine learning predictions. Even with the sparse dataset, predictions of 56-day strength for the two mixes were experimentally validated to within 90% confidence interval when using slump as an input and further improved by using 28-day strength.

We co-designed a bee sequence with a specialist primary science teacher at an Australian government school. Year 6 students learned about European honeybees and Australian native bees, including through Cli-Fi. In this paper, we explore the pedagogical power of providing students with opportunities to create Cli-Fi about bee futures in the Anthropocene. We present and thematically analyse examples of students’ bee Cli-Fi to argue that they generated these narratives to express how we ought to value bees and how we ought to conduct ourselves towards bees to realise more desirable futures. We propose that these students were futuring as normative myths. Students generated dystopian views of bee futures in adopting a human perspective, but also present were glimmers of hope for a more positive outlook that embraced more-than-human perspectives. We adopt a pragmatist semiotic approach to propose that these young people’s bee Cli-Fi constituted normative claims about the future of bees, as they outlined the aesthetics (how and what we ought to value) and ethics (how and in what way we ought to act) of humans caring for bees in an epoch of polycrisis. We suggest that Cli-Fi ought to be an integral part of climate change education in empowering students to assert their agency.

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 $0.4\lt z\lt1.0$, 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 deg$^2$ 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 deg$^2$ 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 $0.4\lt z\lt1$. The detected lines span a wide range in H i optical depth, including three lines with a peak optical depth $\tau\gt1$, 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 deg$^2$ 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.

Following inter-/transdisciplinary ideas, environmental education inherently collaborates with other subjects, including physical education. As the work with other subjects might be jeopardised by differing worldviews and paradigms, it is worth illuminating compatible and incompatible positions for inter-/transdisciplinary work. In physical education, the concept of physical literacy (PL) has recently gained considerable attention and adopts a student-centred perspective on human existence and learning. Therefore, the goal of the present narrative integrative review was to review the existing literature at the nexus between physical education and environmental education through a PL lens (five pre-defined concept assumptions). After screening for eligibility, a total of 129 articles were assigned to five different thematic categories: (a) conceptual discussion/argumentative patterns, (b) curricular discussion and international comparisons, (c) programming/intervention content, (d) teacher and enabler perspectives and (e) student outcomes/perspectives. The synthesis revealed that PL can harmonise with the educative work when respecting the disciplinary interests of both physical education and environmental education. However, few intervention studies translate the holistic PL claims into interventions. Accordingly, evaluations with teachers or students less frequently integrated holistic learning experiences in line with PL. In summary, previous research at the nexus has not yet exhausted its full inter-/transdisciplinary potential.

The rising incidence of neurodegenerative diseases in an ageing global population has shifted research focus towards modifiable risk factors, such as diet. Despite potential links between dietary patterns and brain health, inconsistencies in neuroimaging outcomes underscore a gap in understanding how diet impacts brain ageing. This study explores the relationship between three dietary patterns – Mediterranean, Dietary Approaches to Stop Hypertension (DASH) and Mediterranean-DASH Intervention for Neurodegenerative Delay – and cognitive outcomes as well as brain connectivity. The study aimed to assess the association of these diets with brain structure and cognitive function, involving a middle-aged healthy group and an older cohort with subjective cognitive decline. The study included cognitive assessments and diffusion-weighted MRI data to analyse white matter microstructural integrity. Participants comprised fifty-five older individuals with subjective cognitive decline (54·5 % female, mean age = 64) and fifty-two healthy middle-aged individuals (48·1 % female, mean age = 53). Age inversely correlated with certain cognitive functions and global brain metrics, across both cohorts. Adherence to the Mediterranean, DASH and Mediterranean-DASH Intervention for Neurodegenerative Delay diets showed no significant cognitive or global brain metric improvements after adjusting for covariates (age, education, BMI). Network-based statistics analysis revealed differences in brain subnetworks based on DASH diet adherence levels in the subjective cognitive decline cohort. In the healthy cohort, lower white matter connectivity was associated with reduced adherence to Mediterranean-DASH Intervention for Neurodegenerative Delay and DASH diets. Ultimately, the study found no strong evidence connecting dietary patterns to cognitive or brain connectivity outcomes. Future research should focus on longitudinal studies and refine dietary assessments.

Birds possess the most diverse assemblage of haemosporidian parasites, although the true diversity is unknown due to high genetic diversity and insufficient sampling across all avian clades. Waterfowl (Order Anseriformes) are an ideal group to discover hidden parasite diversity and examine the role of host ecology in parasite transmission. Waterfowl contain 2 distinct feeding guilds, dabbling and diving, which differ in niche utilization that likely alters vector encounter rates and haemosporidian parasite risk. To determine the role of feeding guild in haemosporidian parasitism we analysed 223 blood samples collected by hunters from the upper Midwest of the United States from 2017 to 2019. Fifty-four individuals were infected by haemosporidian parasites (24·2% prevalence). Infection prevalence differed significantly between dabbling (34·9%, n = 109) and diving (14·0%, n = 114) ducks. Feeding guild was the only host trait that could predict haemosporidian infection risk, with a significantly higher risk in dabbling ducks. Twenty-four haemosporidian lineages were identified, with 9 identified for the first time. Thirteen lineages were found only in dabbling ducks, 5 only in diving ducks and 6 in both feeding guilds. Community analysis showed that each feeding guild harboured a unique parasite community. There was no phylogenetic signal of feeding guild within a phylogenetic reconstruction of North American waterfowl haemosporidian lineages. Our results demonstrate that waterfowl contain a diverse and distinct community of haemosporidian parasites. The unique composition of each feeding guild determines not only haemosporidian infection risk but also community structure. This is the first report of such an impact for waterfowl feeding guilds.

We have conducted a widefield, wideband, snapshot survey using the Australian SKA Pathfinder (ASKAP) referred to as the Rapid ASKAP Continuum Survey (RACS). RACS covers $\approx 90$% of the sky, with multiple observing epochs in three frequency bands sampling the ASKAP frequency range of 700–1 800 MHz. This paper describes the third major epoch at 1 655.5 MHz, RACS-high, and the subsequent imaging and catalogue data release. The RACS-high observations at 1 655.5 MHz are otherwise similar to the previously released RACS-mid (at 1 367.5 MHz) and were calibrated and imaged with minimal changes. From the 1 493 images covering the sky up to declination $\approx +48^\circ$, we present a catalogue of 2 677 509 radio sources. The catalogue is constructed from images with a median root-mean-square noise of $\approx 195$ $\unicode{x03BC}$Jy PSF$^{-1}$ (point-spread function) and a median angular resolution of $11{\stackrel{\prime\prime}{\raise-0pt\hbox{.}}}8 \times 8{\stackrel{\prime\prime}{\raise-0pt\hbox{.}}}1$. The overall reliability of the catalogue is estimated to be 99.18%, and we find a decrease in reliability as angular resolution improves. We estimate the brightness scale to be accurate to 10%, and the astrometric accuracy to be within $\approx 0{\stackrel{\prime\prime}{\raise-0pt\hbox{.}}}6$ in right ascension and $\approx 0{\stackrel{\prime\prime}{\raise-0pt\hbox{.}}}7$ in declination after correction of a systematic declination-dependent offset. All data products from RACS-high, including calibrated visibility datasets, images from individual observations, full-sensitivity mosaics, and the all-sky catalogue are available at the CSIRO ASKAP Science Data Archive.