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    Suicide prevention gatekeeper training for those supporting refugees and asylum seekers: Perspectives of participants

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    This research explored participants’ experience and perceptions of a two-day suicide prevention education programme, and any impact that it has had on them and their work with refugees and asylum seekers since. At approximately six months post-training (May to September 2018), semi-structured telephone interviews were conducted with 15 participants. The interviews were audio-recorded, transcribed, and thematically analysed. Thematic analysis of the data identified two overarching themes and five subthemes. The two overarching themes were: (1) Changes to the individual and their practice; and (2) The culture and context of the work. Participants described a range of impacts that the training had on them and their workplace, in both personal and professional domains. The study findings suggest that equipping workers with skills and knowledge in culturally tailored and evidence-based suicide prevention can lead to an increased sense of hope, optimism, confidence, and agency and reportedly enabled workers to more readily intervene when presented with clients directly or indirectly communicating suicidal ideation. Findings support existing literature regarding gatekeeper training effectiveness. However, given the unique context of asylum seeker and refugee suicide, they also extend our understanding of the impact of bespoke or tailored approaches to gatekeeper training

    Flow regime change alters shredder identity but not leaf litter decomposition in headwater streams affected by severe, permanent drying

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    Climate change is altering hydrologic regimes globally. In the Mediterranean climate region of south-western Australia (SWA), climate drying has caused many perennial streams to switch to intermittent flow regimes. Shifts in flow regime are expected to alter physical and biological processes in streams, including litter decomposition, which is the basis of detrital food webs. Decomposition of jarrah (Eucalyptus marginata) leaves and associated macroinvertebrates, were measured over 320 days in 2018–19 using leaf bags in four headwater streams in SWA. Two streams retained perennial reaches and two were formerly perennial streams that are now intermittent. Pre-planned comparisons that formed a partial multiple before–after, control–impact design were used to compare the results to an experiment conducted in 1982–83 in some of the same streams when all were perennially flowing. Both experiments used coarse and fine-mesh bags containing 10 g of dry leaves. In one perennial stream, coarse bags lost more weight than fine bags at the last sampling time only, when shredding caddisflies arrived on the leaf bags. In the other perennial stream, leaf-mining chironomids entered fine-mesh bags and accelerated decomposition so that they lost more weight than the coarse-mesh bags. There was no difference in weight loss between fine and coarse-mesh leaf bags in the two intermittent streams. In 2018–19, decomposition was slower in dry reaches of intermittent streams than in perennial reaches. Leaf weight loss increased with the resumption of flow in intermittent streams, so that by the end of the experiment, similar amounts of leaf weight had been lost in intermittent and perennial reaches. Thus, although the temporal pattern of decomposition differed between intermittent and perennial reaches, after 320 days, they had reached a similar endpoint. Over similar experimental duration, mean leaf weight remaining in perennial reaches at the end of the experiment did not differ between the 1982–83 study and 2018–19, showing that leaf decomposition had not changed in reaches that retained perennial flow. As mean leaf weight remaining also did not differ between intermittent and perennial streams in 2018–19, leaf decomposition was robust to flow regime change. However, since 1982–83, these streams have lost populations of shredding caddisflies and stoneflies, which were replaced by other shredders (e.g. leaf mining chironomids Stenochironomus sp.), showing that there was some redundancy amongst shredder species. As climate change progresses, drying flow regimes will become commonplace in Mediterranean (and other) climate regions globally. This study indicates that litter decomposition may be maintained as streams transition to intermittency although shredder species may change. However, the impact of shredding species on leaf decomposition varies amongst studies, so effects of the loss of shredder species sensitive to drying may also vary, and in some cases their loss may substantially alter ecosystem processes

    Embedding digital agriculture into sustainable Australian food systems: Pathways and pitfalls to value creation

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    Digital agriculture is exciting attention because of an expectation that food systems will be disrupted by new digital technologies through improvements in precision, efficiency, volume, speed of process or identity of product. This is against the background of the drive for sustainability in food systems. A diversity of technology applications is unilaterally emerging in all food chains with benefits realized through human acceptance and adoption in business processes. This paper focuses on Australia but the lessons apply to digital agriculture globally. We propose that sustainable food systems frameworks identify the relation of individual changes to broader systemic change, to relate individual changes to one another and to understand how multiple changes within a system can trigger major shifts in entire agri-food chains. With this rapidly-changing landscape in mind, we argue that food system frameworks cover five domains: production, market, capitals, governance and data technologies. We analyse experience from agricultural systems, compare it to digitization in non-agricultural systems and conclude that change will be both disruptive and cumulative. We consider the role of systems governance to be under-reported. Governance will prove critical in areas of IP legislation, policy harmonization and targeted investment

    Urinary metabolic phenotype of blood pressure

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    Objective: Metabolic phenotyping (metabolomics) captures systems-level information on metabolic processes by simultaneously measuring hundreds of metabolites using spectroscopic techniques. Concentrations of these metabolites are affected by genetic (host, microbiome), environmental and dietary factors and may provide insights into biochemical pathways underlying raised blood pressure (BP) in populations. Design and method: Two separate, timed 24hr urine specimens were obtained from 2,031 women and men, aged 40–59, from 8 USA population samples in the INTERMAP Study. Proton Nuclear Magnetic Resonance (1H NMR) was used to characterize a urinary metabolic signature; this was unaffected by diurnal variability and sampling time as it captures end-products of metabolism over a 24hr period. Demographic, population, medical, lifestyle and anthropometric factors were accounted for in regression models to define a urinary metabolic phenotype associated with BP. Results: 29 structurally identified urinary metabolites covaried with systolic BP (SBP), after adjustment for demographic variables, and 18 metabolites with diastolic BP (DBP), with 16 metabolites overlapping between SBP and DBP. These included metabolites related to energy metabolism, renal function, diet and gut microbiota. After adjustment for medical and lifestyle covariates, 22/14 metabolites remained associated with SBP/DBP. Joint covariate-metabolite penalized regression models identified Body Mass Index, age and family history as most important contributors, with 14 metabolites, including gut microbial co-metabolites, also included in the model. Metabolites were mapped in a symbiotic metabolic reaction network, that includes reactions mediated by 3,344 commensal gut microbial species, to highlight affected pathways (Figure). Significant single nucleotide polymorphisms (SNPs) from genome-wide association studies on cardiometabolic risk factors were mapped to genes in this network. This revealed multiple subnetworks of gene-metabolite pairs related to BP and related cardiometabolic factors and includes 54 SNPs directly related to reactions in the network. These 54 SNPs were then used as instrumental variables to test for possible causative metabolite-BP associations in an external cohort (Airwave Study). Conclusions: These results highlight the complex interplay between human genes, the microbiome and metabolites associated with BP and other cardiometabolic risk factors

    Review of the Australian and New Zealand orb-weaving spider genus Novakiella (Araneae, Araneidae)

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    The orb-weaving spider genus Novakiella Court & Forster, 1993 (family Araneidae Clerck, 1757) is reviewed to include two species, N. trituberculosa (Roewer, 1942) (type species, Australia and New Zealand) and N. boletus sp. nov. (Australia). Novakiella belongs to the informal, largely Australian ‘backobourkiine’ clade and shares with the other genera of the clade a single macroseta on the male pedipalp patella and a median apophysis of the male pedipalp that forms an arch over the radix. The proposed genus synapomorphies are the presence of a large basal conductor lobe expanding apically over the radix and the shape of the median apophysis, which extends into a basally directed, pointy projection. Males have an apico-prolateral spur on the tibia of the second leg that carries a distinct spine. Females have an epigyne with triangular base plate bearing transverse ridges and an elongate triangular scape, which is almost always broken off. The humeral humps of the abdomen are distinct. Novakiella trituberculosa build characteristic dome-shaped webs; however, the foraging behaviour and web-shape of N. boletus sp. nov., currently only known from museum specimens, are not known

    Targeted SMN exon skipping: A useful control to assess in vitro and in vivo splice-switching studies

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    The literature surrounding the use of antisense oligonucleotides continues to grow, with new disease and mechanistic applications constantly evolving. Furthermore, the discovery and advancement of novel chemistries continues to improve antisense delivery, stability and effectiveness. For each new application, a rational sequence design is recommended for each oligomer, as is chemistry and delivery optimization. To confirm oligomer delivery and antisense activity, a positive control AO sequence with well characterized target-specific effects is recommended. Here, we describe splice-switching antisense oligomer sequences targeting the ubiquitously expressed human and mouse SMN and Smn genes for use as control AOs for this purpose. We report two AO sequences that induce targeted skipping of SMN1/SMN2 exon 7 and two sequences targeting the Smn gene, that induce skipping of exon 5 and exon 7. These antisense sequences proved effective in inducing alternative splicing in both in vitro and in vivo models and are therefore broadly applicable as controls. Not surprisingly, we discovered a number of differences in efficiency of exon removal between the two species, further highlighting the differences in splice regulation between species

    Using tri-axial accelerometer loggers to identify spawning behaviours of large pelagic fish

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    Background Tri-axial accelerometers have been used to remotely describe and identify in situ behaviours of a range of animals without requiring direct observations. Datasets collected from these accelerometers (i.e. acceleration, body position) are often large, requiring development of semi-automated analyses to classify behaviours. Marine fishes exhibit many “burst” behaviours with high amplitude accelerations that are difficult to interpret and differentiate. This has constrained the development of accurate automated techniques to identify different “burst” behaviours occurring naturally, where direct observations are not possible. Methods We trained a random forest machine learning algorithm based on 624 h of accelerometer data from six captive yellowtail kingfish during spawning periods. We identified five distinct behaviours (swim, feed, chafe, escape, and courtship), which were used to train the model based on 58 predictive variables. Results Overall accuracy of the model was 94%. Classification of each behavioural class was variable; F1 scores ranged from 0.48 (chafe) – 0.99 (swim). The model was subsequently applied to accelerometer data from eight free-ranging kingfish, and all behaviour classes described from captive fish were predicted by the model to occur, including 19 events of courtship behaviours ranging from 3 s to 108 min in duration. Conclusion Our findings provide a novel approach of applying a supervised machine learning model on free-ranging animals, which has previously been predominantly constrained to direct observations of behaviours and not predicted from an unseen dataset. Additionally, our findings identify typically ambiguous spawning and courtship behaviours of a large pelagic fish as they naturally occur

    Evolutionary divergence of motifs in B-class MADS-box proteins of seed plants

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    Background MADS-box transcription factors function as homo- or heterodimers and regulate many aspects of plant development; moreover, MADS-box genes have undergone extensive duplication and divergence. For example, the morphological diversity of floral organs is closely related to the functional divergence of the MADS-box gene family. B-class genes (such as Arabidopsis thaliana APETALA3 [AP3] and PISTILLATA [PI]) belong to a subgroup of MADS-box genes. Here, we collected 97 MADS-box B protein sequences from 21 seed plant species and examined their motifs to better understand the functional evolution of B proteins. Results We used the MEME tool to identify conserved sequence motifs in these B proteins; unique motif arrangements and sequences were identified in these B proteins. The keratin-like domains of Malus domestica and Populus trichocarpa B proteins differed from those in other angiosperms, suggesting that a novel regulatory network might have evolved in these species. The MADS domains of Nelumbo nucifera, Glycine max, and Amborella trichopoda B-proteins contained motif 9; in contrast, those of other plants contained motif 1. Protein modelling analyses revealed that MADS domains with motif 9 may lack amino acid sites required for DNA-binding. These results suggested that the three species might share an alternative mechanism controlling floral development. Conclusions Amborella trichopoda has B proteins with either motif 1 or motif 9 MADS domains, suggesting that these two types of MADS domains evolved from the ancestral domain into two groups, those with motif 9 (N. nucifera and G. max), and those with motif 1. Moreover, our results suggest that the homodimer/heterodimer intermediate transition structure first appeared in A. trichopoda. Therefore, our systematic analysis of the motifs in B proteins sheds light on the evolution of these important transcription factors

    The inhibition of ABCB1/MDR1 or ABCG2/BCRP enables doxorubicin to eliminate liver cancer stem cells

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    Two ATP-binding cassette transporters, ABCB1/MDR1 and ABCG2/BCRP, are considered the most critical determinants for chemoresistance in hepatocellular carcinoma. However, their roles in the chemoresistance in liver cancer stem cells remain elusive. Here we explored the role of inhibition of MDR1 or ABCG2 in sensitizing liver cancer stem cells to doxorubicin, the most frequently used chemotherapeutic agent in treating liver cancer. We show that the inhibition of MDR1 or ABCG2 in Huh7 and PLC/PRF/5 cells using either pharmacological inhibitors or RNAi resulted in the elevated level of intracellular concentration of doxorubicin and the accompanied increased apoptosis as determined by confocal microscopy, high-performance liquid chromatography, flow cytometry, and annexin V assay. Notably, the inhibition of MDR1 or ABCG2 led to the reversal of the chemoresistance, as evident from the enhanced death of the chemoresistant liver cancer stem cells in tumorsphere-forming assays. Thus, the elevation of effective intracellular concentration of doxorubicin via the inhibition of MDR1 or ABCG2 represents a promising future strategy that transforms doxorubicin from a traditional chemotherapy agent into a robust killer of liver cancer stem cells for patients undergoing transarterial chemoembolization

    Experiences from two ways of integrating Pre- and Post-course Multiple-choice assessment questions in educational events for surgeons

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    To examine how to optimise the integration of multiple-choice questions (MCQs) for learning in continuing professional development (CPD) events in surgery, we implemented and evaluated two methods in two subspecialities over multiple years. The same 12 MCQs were administered pre- and post-event in 66 facial trauma courses. Two different sets of 10 MCQs were administered pre- and post-event in 21 small animal fracture courses. We performed standard psychometric tests on responses from participants who completed both the pre- and post-event assessment. The average difficulty index pre-course was 57% with a discrimination index of 0.20 for small animal fractures and 53% with a discrimination index of 0.15 for facial trauma. For the majority of the individual MCQs, the scores were between 30%-70% and the discrimination index was >0.10. The difficulty index post-course increased in both groups (to 75% and 62%). The pre-course MCQs resulted in an average score in the expected range for both formats suggesting they were appropriate for the intended level of difficulty and an appropriate pre-course learning activity. Post-course completion resulted in increased scores with both formats. Both delivery methods worked well in all regions and overall quality depends on applying a solid item development and validation process

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