Animal welfare awareness (AWA) during transportation and in markets is a critical concern in livestock production, influencing the health of animals and other outcomes for stakeholders. Nevertheless, it remains understudied in many developing regions. This study investigates the level of awareness and practices regarding animal welfare during and after transportation among primary stakeholders — sellers, drivers, and buyers — in three livestock markets in Nigeria: Achida, Ikorodu Sabo, and Amansea. A structured survey focusing on the stakeholders’ familiarity with the concept of animal welfare, the Five Freedoms, the Animal Diseases (Control) Act, and encounters with veterinary control posts was conducted across the selected markets between February and July 2024. Furthermore, stakeholders were also questioned about barriers to improving practices. Descriptive and inferential statistical analyses were performed to explore associations between the dichotomised awareness of animal welfare and key variables. A significant association between AWA and market location was revealed, but not with occupation. Further analysis showed that dichotomised awareness of Veterinary Control Posts (VCPs) and the Animal Diseases (Control) Act had significant negative associations with AWA, suggesting complex relationships between legal knowledge and familiarity with the concept of animal welfare. Additionally, transport-related mortality was reported by 70.7% of respondents, with overcrowding and sickness identified as primary causes. However, significant barriers, including economic constraints and a lack of authority to mandate standards, were the leading challenges often faced by stakeholders. The findings underscore the need for targeted interventions and policy reforms, including increased enforcement.

The Neptune Islands Group and Western Kangaroo Island Marine Parks were declared as part of South Australia’s representative system of Marine protected areas (MPAs) in 2009. Sanctuary zones, located within these MPAs, prohibited commercial fishing in the state’s Northern Zone Rock Lobster Fishery from 2014. In 2022, dedicated surveys were undertaken both inside and outside two of the sanctuary zones to estimate the relative abundance (catch per unit effort; CPUE) and size of southern rock lobster (Jasus edwardsii). Survey results were then compared to estimates of abundance obtained from long-term commercial fishery-dependent data within each area. The legal-size CPUE by weight of lobsters was 389% and 411% higher inside sanctuary zones of the Neptune Islands Group and Western Kangaroo Island, respectively, compared to outside, based on survey data. Survey catch rates inside the two sanctuary zones were also considerably higher than historical catch rates estimated from commercial fishing data. Lobsters inside both sanctuary zones were larger than those outside in terms of mean weight compared to historical estimates. However, surveys recorded similar mean size in lobsters both inside and outside the Neptune Islands Group sanctuary zone, indicating a possible spillover effect of MPA protection. The Northern Zone Rock Lobster Fishery is currently in a biomass rebuilding phase. The results highlight the productivity potential of temperate reef ecosystems within South Australia in terms of southern rock lobster abundances.

A key challenge when surveying political elites is recruitment. Low response rates can lead to biased samples and underpowered designs, threatening the validity of descriptive and experimental scholarship. In a randomized control trial, we test the effects of sending postal invitations in a large survey of local elected officials. We find that German and UK local politicians are more likely to complete the survey if invited by postal mail, rather than simply by email. Recruitment mode does not impact the quality of responses but shapes the population of local officials recruited. Officials invited via postal letter were more likely to come from smaller municipalities and less likely to have a college degree. Costs per response are relatively high but can be reduced as we learn more about selection into elite surveys.

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.

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 $\sim50$% of the sky (20,630 deg$^2$); (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 $\sim$1 rad m$^{-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 $\mu$Jy beam$^{-1}$. Additionally, the survey will be supplemented by similar observations covering 1296–1440 MHz over 38% of the sky. POSSUM will enable the discovery and detailed investigation of magnetised 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.

Between 2022 and 2024, LexisNexis migrated its customers with subscriptions to LexisLibrary and/or LexisPSL to the new Lexis+ UK platform. In order to assess the overall migration experience, identify challenges faced during the migration and suggest areas for improvement, the BIALL Supplier Liaison Group (SLG) conducted a survey in mid-2024 to gather feedback from members on their experiences of the project. During the summer of 2024, the SLG committee members analysed the results of the survey and put together the report, referenced in this article, that was circulated to BIALL members in October 2024. Lauren Cummings, Ann O’Sullivan and Andrew Thatcher wrote this piece based on the survey results, the report and the subsequent meeting with LexisNexis.

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.

In the late 1930s, children in three Malawian villages were subjected to a peculiar test for vitamin A deficiency devised by Dr. Benjamin Platt, director of the Nyasaland Nutrition Survey and a leading colonial nutrition scientist. Platt constructed a makeshift adaptometer, appropriate for field conditions, that could be placed over a subject’s head to measure retinal adaptation to light. He built this contraption from simple materials, including a five-pound tea-box and sticking plaster. This article takes the curious commingling of commodity objects and scientific materials (where a discarded tea-box finds new life as an experimental technology) as an entry point for examining how scientific practices are woven from semiotic and material threads, demonstrating how heterogeneous social and material elements overlap and influence one another. The article first analyses how Platt’s tea-box adaptometer – and the discourses and ambitions framing the Survey – imagined a new kind of nutrition research hinged to the space of the field rather than the laboratory. It then proceeds to consider how the tea-box, an incipient manifestation of ‘appropriate technology’, points us towards the more tacit ways that tea wove itself into the fabric of the Survey and colonial society, as a gustatory discourse steeped in racial anxieties. Attending to the ‘stuff’ of scientific work cued me to broader imperial circuits and interests that shaped colonial nutrition research.

In this article BIALL President Claire Mazer reviews the findings of the BIALL/SLS Academic Law Library Survey, which was conducted in 2024 and covered the academic year 2022/23. Claire’s article provides some analysis of the responses, while it also outlines some key themes and trends. The author would like to thank Laura Griffiths and Marilyn Clarke at IALS for their work in conducting the survey on behalf of BIALL and SLS (Society of Legal Scholars).

The data volumes generated by theWidefield ASKAP L-band Legacy All-sky Blind surveY atomic hydrogen (Hi) survey using the Australian Square Kilometre Array Pathfinder (ASKAP) necessitate greater automation and reliable automation in the task of source finding and cataloguing. To this end, we introduce and explore a novel deep learning framework for detecting low signal-to-noise ratio (SNR) Hi sources in an automated fashion. Specifically, our proposed method provides an automated process for separating true Hi detections from false positives when used in combination with the source finding application output candidate catalogues. Leveraging the spatial and depth capabilities of 3D convolutional neural networks, our method is specifically designed to recognize patterns and features in three-dimensional space, making it uniquely suited for rejecting false-positive sources in low SNR scenarios generated by conventional linear methods. As a result, our approach is significantly more accurate in source detection and results in considerably fewer false detections compared to previous linear statistics-based source finding algorithms. Performance tests using mock galaxies injected into real ASKAP data cubes reveal our method’s capability to achieve near-100% completeness and reliability at a relatively low integrated SNR $\sim3-5$. An at-scale version of this tool will greatly maximise the science output from the upcoming widefield Hi surveys.

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.

Researchers regularly use large survey studies to examine public political opinion. Surveys running over days and months will necessarily incorporate religious occasions that can introduce variation in public opinion. Using recent survey data from Israel, this study demonstrates that giving surveys on religious occasions (e.g., the Sabbath, Hannukah, Sukkot) can elicit different opinion responses. These effects are found among both religious and non-religious respondents. While incorporating these fluctuations is realistic in longer-term surveys, surveys fielded in a short window inadvertently drawing heavily on a holiday or holy day sample may bias their findings. This study thus urges researchers to be cognizant of ambient religious context when conducting survey studies.

We examine the energy distribution of the fast radio burst (FRB) population using a well-defined sample of 63 FRBs from the Australian Square Kilometre Array Pathfinder (ASKAP) radio telescope, 28 of which are localised to a host galaxy. We apply the luminosity-volume ($V/V_{\mathrm{max}}$) test to examine the distribution of these transient sources, accounting for cosmological and instrumental effects, and determine the energy distribution for the sampled population over the redshift range $0.01 \lesssim z \lesssim 1.02$. We find the distribution between $10^{23}$ and $10^{26}$ J Hz$^{-1}$ to be consistent with both a pure power-law with differential slope $\gamma=-1.96 \pm 0.15$, and a Schechter function with $\gamma = -1.82 \pm 0.12$ and downturn energy $E_\mathrm{max} \sim 6.3 \, \times 10^{25}$ J Hz$^{-1}$. We identify systematic effects which currently limit our ability to probe the luminosity function outside this range and give a prescription for their treatment. Finally, we find that with the current dataset, we are unable to distinguish between the evolutionary and spectral models considered in this work.

When surveys contain direct questions about sensitive topics, participants may not provide their true answers. Indirect question techniques incentivize truthful answers by concealing participants’ responses in various ways. The Crosswise Model aims to do this by pairing a sensitive target item with a non-sensitive baseline item, and only asking participants to indicate whether their responses to the two items are the same or different. Selection of the baseline item is crucial to guarantee participants’ perceived and actual privacy and to enable reliable estimates of the sensitive trait. This research makes the following contributions. First, it describes an integrated methodology to select the baseline item, based on conceptual and statistical considerations. The resulting methodology distinguishes four statistical models. Second, it proposes novel Bayesian estimation methods to implement these models. Third, it shows that the new models introduced here improve efficiency over common applications of the Crosswise Model and may relax the required statistical assumptions. These three contributions facilitate applying the methodology in a variety of settings. An empirical application on attitudes toward LGBT issues shows the potential of the Crosswise Model. An interactive app, Python and MATLAB codes support broader adoption of the model.

It is commonly held that even where questionnaire response is poor, correlational studies are affected only by loss of degrees of freedom or precision. We show that this supposition is not true. If the decision to respond is correlated with a substantive variable of interest, then regression or analysis of variance methods based upon the questionnaire results may be adversely affected by self-selection bias. Moreover such bias may arise even where response is 100%. The problem in both cases arises where selection information is passed to the score indirectly via the disturbance or individual effects, rather than entirely via the observable explanatory variables. We suggest tests for the ensuing self-selection bias and possible ways of handling the ensuing problems of inference.

I develop a survey method for estimating social influence over individual political expression, by combining the content-richness of document scaling with the flexibility of survey research. I introduce the “What Would You Say?” question, which measures self-reported usage of political catchphrases in a hypothetical social context, which I manipulate in a between-subjects experiment. Using Wordsticks, an ordinal item response theory model inspired by Wordfish, I estimate each respondent’s lexical ideology and outspokenness, scaling their political lexicon in a two-dimensional space. I then identify self-censorship and preference falsification as causal effects of social context on respondents’ outspokenness and lexical ideology, respectively. This improves upon existing survey measures of political expression: it avoids conflating expressive behavior with populist attitudes, it defines preference falsification in terms of code-switching, and it moves beyond trait measures of self-censorship, to characterize relative shifts in the content of expression between different contexts. I validate the method and present experiments demonstrating its application to contemporary concerns about self-censorship and polarization, and I conclude by discussing its interpretation and future uses.

A key objective for upcoming surveys, and when re-analysing archival data, is the identification of variable stellar sources. However, the selection of these sources is often complicated by the unavailability of light curve data. Utilising a self-organising map (SOM), we demonstrate the selection of diverse variable source types from a catalogue of variable and non-variable SDSS Stripe 82 sources whilst employing only the median $u-g$, $g-r$, $r-i$, and $i-z$ photometric colours for each source as input, without using source magnitudes. This includes the separation of main sequence variable stars that are otherwise degenerate with non-variable sources ($u-g$,$g-r$) and ($r-i$,$i-z$) colour-spaces. We separate variable sources on the main sequence from all other variable and non-variable sources with a purity of $80.0\%$ and completeness of $25.1\%$, figures which can be modified depending on the application. We also explore the varying ability of the same method to simultaneously select other types of variable sources from the heterogeneous sample, including variable quasars and RR-Lyrae stars. The demonstrated ability of this method to select variable main sequence stars in colour-space holds promise for application in future survey reduction pipelines and for the analysis of archival data, where light curves may not be available or may be prohibitively expensive to obtain.