Antarctic soils provide an excellent setting to test biogeographical patterns across spatial and environmental scales given their relatively simple communities and the dominance of physical factors that create strong environmental gradients. Additional urgency is given by the fact that their unique terrestrial communities are the subject of conservation efforts in a rapidly changing environment. We investigated relationships of soil community assembly and alpha and beta diversity with climatic and environmental parameters across regional and local scales in Maritime Antarctica. We sampled from a regional gradient of sites that differ in habitat severity, ranging from relatively favourable to harsher physicochemical conditions. At the regional scale, bacterial community characteristics and microarthropod abundance varied along this severity gradient, but most measures of fungal communities did not. Microarthropod and microbial communities differed in which soil and climate parameters were most influential, and the specific parameters that influenced each taxon differed across broad and fine spatial scales. This suggests that conservation efforts will need to focus on a large variety of habitat characteristics to successfully encompass diversity across taxa. Because beta diversity was the result of species turnover, conservation efforts also cannot focus on only the most biodiverse sites to effectively preserve all aspects of biodiversity.

We present WALLABY pilot data release 1, the first public release of H i pilot survey data from the Wide-field ASKAP L-band Legacy All-sky Blind Survey (WALLABY) on the Australian Square Kilometre Array Pathfinder. Phase 1 of the WALLABY pilot survey targeted three $60\,\mathrm{deg}^{2}$ regions on the sky in the direction of the Hydra and Norma galaxy clusters and the NGC 4636 galaxy group, covering the redshift range of $z \lesssim 0.08$ . The source catalogue, images and spectra of nearly 600 extragalactic H i detections and kinematic models for 109 spatially resolved galaxies are available. As the pilot survey targeted regions containing nearby group and cluster environments, the median redshift of the sample of $z \approx 0.014$ is relatively low compared to the full WALLABY survey. The median galaxy H i mass is $2.3 \times 10^{9}\,{\rm M}_{{\odot}}$ . The target noise level of $1.6\,\mathrm{mJy}$ per 30′′ beam and $18.5\,\mathrm{kHz}$ channel translates into a $5 \sigma$ H i mass sensitivity for point sources of about $5.2 \times 10^{8} \, (D_{\rm L} / \mathrm{100\,Mpc})^{2} \, {\rm M}_{{\odot}}$ across 50 spectral channels ( ${\approx} 200\,\mathrm{km \, s}^{-1}$ ) and a $5 \sigma$ H i column density sensitivity of about $8.6 \times 10^{19} \, (1 + z)^{4}\,\mathrm{cm}^{-2}$ across 5 channels ( ${\approx} 20\,\mathrm{km \, s}^{-1}$ ) for emission filling the 30′′ beam. As expected for a pilot survey, several technical issues and artefacts are still affecting the data quality. Most notably, there are systematic flux errors of up to several 10% caused by uncertainties about the exact size and shape of each of the primary beams as well as the presence of sidelobes due to the finite deconvolution threshold. In addition, artefacts such as residual continuum emission and bandpass ripples have affected some of the data. The pilot survey has been highly successful in uncovering such technical problems, most of which are expected to be addressed and rectified before the start of the full WALLABY survey.

OBJECTIVES/GOALS: CTRUs support clinical research. RUN is a Learning Research System that is created to enhance CTSA and non-CTSA research units capacity through implementing, assessing, and disseminating discoveries in methods, approaches, education, and training in clinical and translational science. METHODS/STUDY POPULATION: The RUN association began in July 2018 with eight universities. The association has grown to 44 hospitals, research, and academic institutions (including 36 CTSA institutions). A RUN Discussion Forum has been approved by the National Center for Advancing Science (NCATS) and utilized by RUN. The Discussion Forums are created with the goal of advancing CTSA Program objectives in high priority areas of clinical and translational science. RUN actively engages members through in depth scheduled monthly meeting discussions with various relevant topics regarding the development and evaluation of clinical trials metrics, benchmarks, and scholarly publication and presentation activities. RESULTS/ANTICIPATED RESULTS: Topics covered in RUN monthly meetings include research units general budget guidelines, staff recruitment and retainment strategies, EPIC use in scheduling CRU research visits, and PPE for investigational drugs in context of USP800 requirements. RUN members vary in geographic location, type of clinical research (outpatient vs inpatient), resources, and research subject volume. They are engaged in online discussion and learning opportunities to improve translational science practices. A recent article titled “Impact of COVID-19 on Clinical Research Units (CRUs)” in JCTS is an example of best practices learned by RUN members and shared with the broader research community. DISCUSSION/SIGNIFICANCE: RUN as a Learning Research System enhances clinical and translational research unit capacity and efficiency, encouraging collaboration to contribute with improving public health. This network is aligned with the CTSAs mission of developing innovative solutions to improve translational science.

We present the most sensitive and detailed view of the neutral hydrogen ( ${\rm H\small I}$ ) emission associated with the Small Magellanic Cloud (SMC), through the combination of data from the Australian Square Kilometre Array Pathfinder (ASKAP) and Parkes (Murriyang), as part of the Galactic Australian Square Kilometre Array Pathfinder (GASKAP) pilot survey. These GASKAP-HI pilot observations, for the first time, reveal ${\rm H\small I}$ in the SMC on similar physical scales as other important tracers of the interstellar medium, such as molecular gas and dust. The resultant image cube possesses an rms noise level of 1.1 K ( $1.6\,\mathrm{mJy\ beam}^{-1}$ ) $\mathrm{per}\ 0.98\,\mathrm{km\ s}^{-1}$ spectral channel with an angular resolution of $30^{\prime\prime}$ ( ${\sim}10\,\mathrm{pc}$ ). We discuss the calibration scheme and the custom imaging pipeline that utilises a joint deconvolution approach, efficiently distributed across a computing cluster, to accurately recover the emission extending across the entire ${\sim}25\,\mathrm{deg}^2$ field-of-view. We provide an overview of the data products and characterise several aspects including the noise properties as a function of angular resolution and the represented spatial scales by deriving the global transfer function over the full spectral range. A preliminary spatial power spectrum analysis on individual spectral channels reveals that the power law nature of the density distribution extends down to scales of 10 pc. We highlight the scientific potential of these data by comparing the properties of an outflowing high-velocity cloud with previous ASKAP+Parkes ${\rm H\small I}$ test observations.

The Variables and Slow Transients Survey (VAST) on the Australian Square Kilometre Array Pathfinder (ASKAP) is designed to detect highly variable and transient radio sources on timescales from 5 s to $\sim\!5$ yr. In this paper, we present the survey description, observation strategy and initial results from the VAST Phase I Pilot Survey. This pilot survey consists of $\sim\!162$ h of observations conducted at a central frequency of 888 MHz between 2019 August and 2020 August, with a typical rms sensitivity of $0.24\ \mathrm{mJy\ beam}^{-1}$ and angular resolution of $12-20$ arcseconds. There are 113 fields, each of which was observed for 12 min integration time, with between 5 and 13 repeats, with cadences between 1 day and 8 months. The total area of the pilot survey footprint is 5 131 square degrees, covering six distinct regions of the sky. An initial search of two of these regions, totalling 1 646 square degrees, revealed 28 highly variable and/or transient sources. Seven of these are known pulsars, including the millisecond pulsar J2039–5617. Another seven are stars, four of which have no previously reported radio detection (SCR J0533–4257, LEHPM 2-783, UCAC3 89–412162 and 2MASS J22414436–6119311). Of the remaining 14 sources, two are active galactic nuclei, six are associated with galaxies and the other six have no multi-wavelength counterparts and are yet to be identified.

The derivation and numerical implementation of a linearized version of the gyrokinetic (GK) Coulomb collision operator (Jorge et al., J. Plasma Phys., vol. 85, 2019, 905850604) and of the widely used linearized GK Sugama collision operator (Sugama et al., Phys. Plasmas, vol. 16, 2009, 112503) is reported. An approach based on a Hermite–Laguerre moment expansion of the perturbed gyrocentre distribution function is used, referred to as gyromoment expansion. This approach allows the considering of arbitrary perpendicular wavenumber and expressing the two linearized GK operators as a linear combination of gyromoments where the expansion coefficients are given by closed analytical expressions that depend on the perpendicular wavenumber and on the temperature and mass ratios of the colliding species. The drift-kinetic (DK) limits of the GK linearized Coulomb and Sugama operators are also obtained. Comparisons between the gyromoment approach and the DK Coulomb and GK Sugama operators in the continuum GK code GENE are reported, focusing on the ion-temperature-gradient instability and zonal flow damping, finding an excellent agreement. It is confirmed that stronger collisional damping of the zonal flow residual by the Sugama GK model compared with the GK linearized Coulomb (Pan et al., Phys. Plasmas, vol. 27, 2020, 042307) persists at higher collisionality. Finally, we show that the numerical efficiency of the gyromoment approach increases with collisionality, a desired property for boundary plasma applications.

We present the data and initial results from the first pilot survey of the Evolutionary Map of the Universe (EMU), observed at 944 MHz with the Australian Square Kilometre Array Pathfinder (ASKAP) telescope. The survey covers $270 \,\mathrm{deg}^2$ of an area covered by the Dark Energy Survey, reaching a depth of 25–30 $\mu\mathrm{Jy\ beam}^{-1}$ rms at a spatial resolution of $\sim$ 11–18 arcsec, resulting in a catalogue of $\sim$ 220 000 sources, of which $\sim$ 180 000 are single-component sources. Here we present the catalogue of single-component sources, together with (where available) optical and infrared cross-identifications, classifications, and redshifts. This survey explores a new region of parameter space compared to previous surveys. Specifically, the EMU Pilot Survey has a high density of sources, and also a high sensitivity to low surface brightness emission. These properties result in the detection of types of sources that were rarely seen in or absent from previous surveys. We present some of these new results here.

Novel endometrial cancer (EC) early-detection approaches may reduce racial disparities in mortality. We conducted six community-based focus groups with White and Black women (N = 57 participants) in February-March 2020 to explore acceptability of a home-based tampon sampling approach for EC. Participants also completed a survey. Data were analyzed using qualitative content analysis. Awareness of EC and risk factors was low. Acceptability regarding home sampling was high, but participants expressed concerns about instruction complexity and potential risks. Black women reported lower comfort with tampons. Increasing EC awareness, self-efficacy, and familiarization with tampons would advance prospects for at-home sample collection for EC testing.

ABSTRACT IMPACT: We review our strategy to use live community events on Facebook to share health and clinical research information and share further steps to increase engagement. OBJECTIVES/GOALS: To describe the use of live community events to enhance communication about clinical and health research through a Facebook platform (MN Research Link) with diverse social media users. The project identified variables associated with video engagement and strategic implications. METHODS/STUDY POPULATION: From June 2019 to November 2020 we streamed 31 events on the MN Research Link Facebook public page. Events highlighted different investigators’ clinical and health research in the areas of mental health, health and wellness, chronic diseases and immunology/infectious diseases. Facebook analytics were used to determine the number of views, total minutes viewed, average video watch time, and audience retention. Engagement score was calculated as the total number of interactions (likes, shares, and comments) divided by total number of followers (N=1437), expressed as a percentage RESULTS/ANTICIPATED RESULTS: Events averaged 24secs/16 min (SD=0.4). A mean of 1.61 (SD=1.28) followers viewed the events live but an average of 417.52 (SD=793.50) followers viewed after the event posted. The average engagement score was 1.1%. Mean total minutes viewed for all 31 videos was 253.5 (SD= 437.6). Viewers spent an average of 17 seconds (SD=0.01) watching each piece of video content. On average 28 followers viewed the events for at least 1-minute event (SD= 48.7). Audience retention at the halfway point for each video was 15.74% (SD=0.19). DISCUSSION/SIGNIFICANCE OF FINDINGS: Results suggest that novel approaches are necessary for active engagement. Promotion of live events is recommended to increase participation and length of engagement. Prior length of engagement (average 17 seconds), suggests refining video introduction will increase engagement.

Ageing is associated with reduced muscle mass, strength, flexibility and balance, resulting in a poor quality of life (QOL). Past studies have occurred in highly controlled laboratory settings which provide strong support to determine whether similar gains can be made in community programmes. Twenty participants were enrolled in an eight-week community-based resistance training programme (mean age = 61.3 (standard error (SE) = 0.9) years); Body Mass Index = 32.0 (SE = 1.3) kg/m2). All participants completed surveys to assess outcomes associated with QOL. Given the relationship between muscle function and nerve health, nerve conduction studies (NCS) were also conducted in a separate group of participants (mean age = 64.9 (SE = 2.0) years; Body Mass Index = 32.6 (SE = 1.9) kg/m2). This community-based training programme significantly improved QOL measures in older adults (p < 0.001). Although weight loss was not the primary outcome of the study, participants reduced their body weights (p < 0.001), by primarily reducing fat mass (p = 0.007) while maintaining muscle mass. Significant improvements were observed in muscle strength (2.2%), flexibility and balance (3.2–464.2%, p ⩽ 0.05 for all). Improvements were also observed in plasma glucose (p = 0.05), haemoglobin A1C (p = 0.06) and aldolase enzyme levels (p < 0.001). Scores for surveys on memory and sleep improved (p < 0.05). Improved QOL was associated with increased lean mass (r = −0.714, p = 0.002), decreased fat mass (r = −0.702, p = 0.003) and improved flexibility and balance (r = −0.627, p = 0.008). An eight-week, community-based resistance training programme significantly improved QOL in older adults. Influence on the lipid profile and NCS still needs further investigation.