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Parents of children with autism spectrum disorder (ASD) often experience elevated levels of caregiver strain (CGS). Few studies have examined the relationship between core ASD symptoms and each facet of CGS: objective, subjective internalized, and subjective externalized strain. The predictive effect of core and associated features of ASD on CGS facets were investigated, while also exploring the moderating effect of age. Atypical behaviors and behavior problems were the strongest predictors of all types of caregiver strain. For younger children, more repetitive behaviors predicted higher externalized strain, yet the opposite was true for parents of adolescents. Given that caregiver strain impacts parents' service utilization patterns, future research should focus on strategies to support parents in reducing caregiver strain.

Abstract Background Involvement in healthcare decisions is associated with better health outcomes for patients. For children and adolescents with intellectual disability, parents and healthcare professionals need to balance listening to a child’s wishes with the responsibility of keeping them safe. However, there is a scarcity of literature evaluating how to effectively involve them in decision making. In this context, we review the concept of health literacy, focusing on the skills of healthcare decision making for children and adolescents with intellectual disability. Methods We describe the concept of health literacy and models explaining shared decision making (individuals and healthcare professionals collaborate in decision making process) and supported decision making (when a trusted person supports the individual to collaborate with the healthcare professional in the decision-making process), and a rapid review of the literature evaluating their efficacy. We discuss healthcare decision making for children and adolescents with intellectual disability in the context of relevant recommendations from the recent Disability Royal Commission into Violence, Abuse, Neglect, and Exploitation of People with Disability in Australia. Results Health literacy skills enable individuals to access, understand, appraise, remember and use health information and services. Shared decision making has been described for children with chronic conditions and supported decision making for adults with intellectual disability. Decision-making contributes to how individuals appraise and use healthcare. The rapid review found very limited evidence of outcomes where children and adolescents with intellectual disability have been supported to contribute to their healthcare decisions. Recommendations from the Disability Royal Commission highlight current needs for greater efforts to support and build the capacity of individuals with disability to be involved in the decisions that affect their life, including healthcare decision making. Conclusions Existing rights frameworks and healthcare standards confirm the importance of providing all people with the opportunities to learn and practise health literacy skills including decision making. There is little literature examining interventions for healthcare decision making for children with intellectual disability. Childhood is a critical time for the development of skills and autonomy. Evidence for how children and adolescents with intellectual disability can learn and practice healthcare decision-making skills in preparation for adulthood is needed to reduce inequities in their autonomy.

Ideas and practices associated with inclusive education have featured prominently in the policies and reforms of successive Australian federal governments since the 1990s, yet there are limited historical analyses of these developments. This paper analyses federal and national inclusive education policies in Australia spanning from 1992 to the present. Drawing upon the concept of 'political rationality', the paper examines how the modes of reason underpinning inclusive education policies have evolved over time. Three distinct phases of policy development are identified, which we suggest are characterised by three dominant rationalities: (1) standardisation, (2) the neo-social and (3) personalisation. We argue that examining these rationalities reveals fundamental shifts in ways of thinking about and reasoning inclusive education in policy. We conclude by considering the implications of the different rationalities and single out the potential tensions emerging between rationalities of standardisation and personalisation as an area for future investigation.

The diversity of children within the preschool classroom is dramatically changing as children with autism spectrum disorder are increasingly included within it. To engage in the benefits of inclusion, social skills are needed. Yet, children with autism commonly experience difficulties in this area. Extant literature indicates that social skills are more successfully acquired when taught through naturalistic and embedded instruction in established routines. A commonly occurring routine in most classroom, home, and community settings is mealtime. The purpose of this study was to investigate the effectiveness of Snack Talk, a visual communication support, for increasing the communication engagement of five preschool children with autism. A reversal design across participants was used to analyze the relation between Snack Talk and conversation engagement. Results from the maintenance probes show that conversation engagement increased across all participants when compared to baseline. Furthermore, a functional relation was established between the teaching phase (baseline and intervention data collection phases) and the maintenance phase. Limitations and directions for further research are also discussed.

Wedgefishes (Rhinidae) are threatened by unsustainable fishing globally, and especially in the Southwest Indian Ocean (SWIO), due to their high-value fins in the shark trade. The whitespotted wedgefish Rhynchobatus djiddensis and the bottlenose wedgefish R. australiae are both classified as Critically Endangered on the IUCN Red List of Threatened Species, yet a lack of species-specific knowledge and taxonomic uncertainty still exists within this genus. Genetic approaches aid in taxonomic classification and identifying distinct populations for targeted conservation. Morphological specimen identification of samples (n = 189) collected across the SWIO was confirmed based on the cytochrome oxidase c subunit I (COI) and/or nicotinamide adenine dehydrogenase subunit 2 (ND2) gene regions. The genetic diversity and population structure within and between species and sampling locations were investigated using a dual marker approach: (1) 2 concatenated mitochondrial gene regions, namely COI and the control region (n = 117), and (2) 9 nuclear microsatellite markers (n = 146). The overall genetic diversity was moderate, with an indication that different evolutionary forces are at play on a mitochondrial versus nuclear level. The 2 species were delineated based on both marker types, and for R. djiddensis, the sampling locations of South Africa and Mozambique were genetically homogeneous. For R. australiae, significant differentiation was found between sampling locations, with Madagascar and Tanzania being genetically the most similar. This information provides critical insights into the distribution range and population structure of the whitespotted wedgefish species complex that can support the sustainable management of wedgefishes.

Purpose: This article gives an overview of the successes and lessons learned to date of the Education Endowment Foundation (EEF), one of the leading organizations of the What Works movement. Design/Approach/Methods: Starting with its history, this article covers salient components of the EEF's unique journey including lessons learned and challenges in evidence generation. Findings: The EEF has demonstrated that it is feasible to rapidly expand the use of school-based randomized controlled trials (RCTs) in a country context, set high standards for research independence, transparency, and design, and generate new evidence on what works. Challenges include the need to consider alternative designs to RCTs to answer a range of practice-relevant questions, how to best test interventions at scale, and how study findings are reported and interpreted. Originality/Value: This article addresses some of the key components required for the success of What Works organizations globally.

Abstract Effective conservation of endangered species depends on knowledge of their distributions, but species detection can often be challenging. An example of this is provided by the Critically Endangered Margaret River burrowing crayfish (Engaewa pseudoreducta), which is highly cryptic. Due to the burrowing habit of this crayfish, detection of this species currently requires a great deal of effort, the results are often non‐conclusive, and, as it involves manual excavation of their burrows, the habitat of this and other species is destroyed in the detection process. In response to these challenges, this study developed and optimized a species‐specific probe‐based qPCR assay targeting the 16S gene region to detect the target species from environmental samples. Three test substrates—chimney pellets (soil expelled by a crayfish as it digs its burrow), burrow scrapes (soil lining the inside of a burrow), and burrow water (water that is filling the burrow space)—were tested from 11 crayfish burrows thought to have been constructed by the target species to see if eDNA could be detected. DNA from the target species was successfully amplified from both chimney pellets (6/11 samples) and burrow scrapes (3/11 samples); however, E. pseudoreducta was not detected in any water samples. As previously stated, sampling techniques to confirm the presence of this species have relied on burrow excavation (resulting in habitat destruction) and were often not definitive; therefore, replacing the traditional survey method with a noninvasive eDNA‐based technique could be of enormous benefit to the management and conservation of this (and similar) species.

Abstract Environmental DNA (eDNA) degradation influences the effectiveness of eDNA‐based biodiversity monitoring, but the factors that determine the rate of decay of eDNA in terrestrial environments are poorly understood. We assessed the persistence of vertebrate eDNA from a mock vertebrate community created with soil from zoo enclosures holding 10 target species from different taxonomic classes (reptiles, birds, and mammals) and of different biomass (little penguin and giraffe). We examined species detection rates resulting from eDNA metabarcoding, as well as relative eDNA concentrations via qPCR, from soil samples over eight time points (0–12 weeks), during exposure to three ambient temperatures (10, 25, and 40°C) and three levels of ultraviolet B (UV‐B) radiation (0%, 50%, and 100% intensity). We recorded considerable variation in detectability between species, independent of temperature, and UV‐B effects. Quantitative polymerase chain reaction (PCR) indicated degradation of eDNA over time for all temperature and UV treatments, although it was still possible to detect eDNA from some species after 12 weeks. Degradation rates were lowest for high UV‐B treatments, presumably due to UV‐B reducing bacterial metabolism. The temperatures investigated did not influence eDNA decay. Our results indicate that eDNA in soil can persist under a range of temperatures and high UV radiation for longer than expected. Sheltered sites with minimal UV‐B radiation, which have previously been considered ideal sites for terrestrial eDNA collection, may not be optimal for eDNA persistence in some cases due to microbial decay. A better understanding of eDNA degradation in terrestrial environments is needed to enhance the accuracy of eDNA metabarcoding for surveying terrestrial vertebrate communities.

Candida krusei disseminated infection is a rare complication of protracted neutropenia. Herein, we report a case of a 31-year-old male with relapsed acute myeloid leukemia who developed Candida krusei fungemia with cutaneous, ocular, splenic, renal, bone marrow and osseous involvement leading to severe hypercalcemia, treated with parenteral antifungals followed by oral ibrexafungerp.

Abstract Objective Roller swabbing of surfaces is an effective way to obtain environmental DNA, but the current DNA extraction method for these samples is equipment heavy, time consuming, and increases potential contamination through multiple handling. Here, we used rollers to swab a dog kennel and compared three DNA extraction approaches (water filtration, roller trimming and direct buffer) using two different platforms (Qiacube, Kingfisher). DNA extraction methods were evaluated based on cost, effort, DNA concentration and PCR result. Results The roller trim method emerged as the optimal method with the best PCR results, DNA concentration and cost efficiency, while the buffer-based methods were the least labour intensive but produced mediocre PCR results and DNA concentrations. Additionally, the Kingfisher magnetic bead extractions generally ranked higher in all categories over the Qiacube column-based DNA extractions. Ultimately, the ideal DNA extraction method for a particular study is influenced by logistical constraints in the field such as the size of the roller, the availability of cold storage, and time constraints on the project. Our results demonstrate the strengths and weaknesses of each approach, allowing for informed decision making by researchers.

A considerable body of sociological literature has examined the role that education plays in the ongoing reproduction of class-based inequalities. However, there is a relative lack of research that has focused on the reproduction of inequalities linked to the combined influences of disability and social class. Based on a qualitative study of 19 Australian families, this article examines how the strategies that mothers adopt to advocate for their dyslexic children are shaped by social class. We argue that the expectation by schools that mothers will advocate for their child reproduces inequality because advocacy hinges on mothers having access to specialised cultural capital and considerable financial capital. Our findings also indicate that there is a reliance on mothers to advocate for their child in order to get support. We argue that this reliance on advocacy shifts responsibility for inclusion from the state to mothers, further reproducing a system that is exclusionary of students with disabilities.

It has been claimed that Emotional Intelligence (E.I.) is an integral part of a teacher's skill set (Corcoran & Tormey, 2012) and accordingly those teachers demonstrating a high Emotional Quotient (E.Q.) produce more engaging and motivating lessons (Akhmetova et al., 2014). Primary school teachers require E.I. in order to recognise and control their own emotions, and so that they can positively manage children's emotions. Bar-On (2006) indicated there are many facets of emotions which are experienced by everyone, but some emotions are utilised more frequently due to the age group of learners and the surrounding environment. From a cursory review of existing literature, it is noteworthy that little research has reviewed how specific facets of E.I. are utilised by U.K. teachers while delivering P.E. in primary school. The aims of this study are twofold, first, to measure which facets of E.I. were displayed and utilised by teachers whilst teaching P.E. to different key stages, and second to highlight which emotional skills teachers require in development and training, which may assist them to deliver more motivating P.E. lessons and foster other positive competences such as cognitive skills and self-awareness in children (Kirk, 2006).

This study provided preliminary validation of the Autism Detection in Early Childhood-Virtual (ADEC-V) for telehealth assessment of possible autism. Participants were 121 children (24.79% female) aged 18-47 months who completed telehealth evaluations at a large pediatric hospital in the Midwestern United States between October 2020 and February 2021. The ADEC-V showed good sensitivity (0.82) and specificity (0.78) and was significantly correlated with other ASD symptom measures (i.e., CARS-2, ADI-R). Internal consistency was acceptable ([alpha] = 0.77). These results need replication in a larger and broader sample including more children without ASD. This preliminary validation study identifies the ADEC-V as a promising measure for telehealth ASD assessments in young children.

Invertebrate-derived DNA (iDNA) metabarcoding from carrion flies is a powerful, non-invasive tool that has value for assessing vertebrate diversity. However, unknowns exist around the factors that influence vertebrate detections, such as spatial limits to iDNA signals or if detections are influenced by taxonomic class or estimated biomass of the vertebrates of interest. Using a bulk-collection method, we captured flies from within a zoo and along transects extending 4 km away from this location. From 920 flies, we detected 28 vertebrate species. Of the 28 detected species, we identified 9 species kept at the zoo, 8 mammals and 1 bird, but no reptiles. iDNA detections were highly geographically localized, and only a few zoo animals were detected outside the zoo setting. However, due to the low number of detections in our dataset, we found no influence of the taxonomic group or the estimated biomass of animals on their detectability. Our data suggest that iDNA detections from bulk-collected carrion flies, at least in urban settings in Australia, are predominantly determined by geographic proximity to the sampling location. This study presents an important step in understanding how iDNA techniques can be used in biodiversity monitoring.

Abstract Globally, the diversity of arthropods and the plants upon which they rely are under increasing pressure due to a combination of biotic and abiotic anthropogenic stressors. Unfortunately, conventional survey methods used to monitor ecosystems are often challenging to conduct on large scales. Pan traps are a commonly used pollinator survey method and environmental DNA (eDNA) metabarcoding of pan trap water may offer a high‐throughput alternative to aid in the detection of both arthropods and the plant resources they rely on. Here, we examined if eDNA metabarcoding can be used to identify arthropods and plant species from pan trap water, and investigated the effect of different DNA extraction methods. We then compared plant species identified by metabarcoding with observation‐based floral surveys and also assessed the contribution of airborne plant DNA (plant DNA not carried by arthropods) using marble traps to reduce putative false positives in the pan trap dataset. Arthropod eDNA was only detected in 17% of pan trap samples and there was minimal overlap between the eDNA results and morphological identifications. In contrast, for plants, we detected 64 taxa, of which 53 were unique to the eDNA dataset, and no differences were identified between the two extraction kits. We were able to significantly reduce the contribution of airborne plant DNA to the final dataset using marble traps. This study demonstrates that eDNA metabarcoding of pan trap water can detect plant resources used by arthropods and highlights the potential for eDNA metabarcoding to be applied to investigations of arthropod‐plant interactions.

Abstract Background Health and social care interventions are often complex and can be decomposed into multiple components. Multicomponent interventions are often evaluated in randomised controlled trials. Across trials, interventions often have components in common which are given alongside other components which differ across trials. Multicomponent interventions can be synthesised using component NMA (CNMA). CNMA is limited by the structure of the available evidence, but it is not always straightforward to visualise such complex evidence networks. The aim of this paper is to develop tools to visualise the structure of complex evidence networks to support CNMA. Methods We performed a citation review of two key CNMA methods papers to identify existing published CNMA analyses and reviewed how they graphically represent intervention complexity and comparisons across trials. Building on identified shortcomings of existing visualisation approaches, we propose three approaches to standardise visualising the data structure and/or availability of data: CNMA-UpSet plot, CNMA heat map, CNMA-circle plot. We use a motivating example to illustrate these plots. Results We identified 34 articles reporting CNMAs. A network diagram was the most common plot type used to visualise the data structure for CNMA (26/34 papers), but was unable to express the complex data structures and large number of components and potential combinations of components associated with CNMA. Therefore, we focused visualisation development around representing the data structure of a CNMA more completely. The CNMA-UpSet plot presents arm-level data and is suitable for networks with large numbers of components or combinations of components. Heat maps can be utilised to inform decisions about which pairwise interactions to consider for inclusion in a CNMA model. The CNMA-circle plot visualises the combinations of components which differ between trial arms and offers flexibility in presenting additional information such as the number of patients experiencing the outcome of interest in each arm. Conclusions As CNMA becomes more widely used for the evaluation of multicomponent interventions, the novel CNMA-specific visualisations presented in this paper, which improve on the limitations of existing visualisations, will be important to aid understanding of the complex data structure and facilitate interpretation of the CNMA results.

IntroductionThe aim of this study was to explore which key somatic features are common to four swim strokes and medley, and specifically to identify which characteristics benefit only specific strokes.MethodsThe sample was composed of 130 swimmers (95 males aged 19.5 ± 2.9 years and 35 females aged 18.4 ± 2.8 years). A set of anthropometric variables was used to predict swimming speed in the four swimming strokes and medley.ResultsA multiplicative model with allometric body size components was used to identify the demographic and anthropometric predictors of swimming speed. Trunk height and waist circumference were the only variables significantly different among swimming strokes (p