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Pregnancy-related complications (PRC) impact maternal and fetal morbidity and mortality and place a huge burden on healthcare systems. Thus, effective diagnostic screening strategies are crucial. Currently, national and international guidelines define patients at low risk of PRC exclusively based on their history, thus excluding the possibility of identifying patients with de novo risk (patients without a history of disease), which represents most women. In this setting, previous studies have underlined the potential contribution of non-coding RNAs (ncRNAs) to detect patients at risk of PRC. However, placenta biopsies or cord blood samples are required, which are not simple procedures. Our review explores the potential of ncRNAs in biofluids (fluids that are excreted, secreted, or developed because of a physiological or pathological process) as biomarkers for identifying patients with low-risk pregnancies. Beyond the regulatory roles of ncRNAs in placental development and vascular remodeling, we investigated their specific expressions in biofluids to determine favorable pregnancy outcomes as well as the most frequent pathologies of pregnant women. We report distinct ncRNA panels associated with PRC based on omics technologies and subsequently define patients at low risk. We present a comprehensive analysis of ncRNA expression in biofluids, including those using next-generation sequencing, shedding light on their predictive value in clinical practice. In conclusion, this paper underscores the emerging significance of ncRNAs in biofluids as promising biomarkers for risk stratification in PRC. The investigation of ncRNA expression patterns and their potential clinical applications is of diagnostic, prognostic, and theragnostic value and paves the way for innovative approaches to improve prenatal care and maternal and fetal outcomes.

Gaining a driver's license can be difficult for student drivers with autism spectrum disorder (ASD), yet little is known about their experiences of learning to drive. In this qualitative study, focus groups and individual interviews were employed to ascertain the perceptions of three participant groups, including people with ASD, parents of people with ASD, and driving instructors with experience teaching people with ASD to drive. Participants in each group were asked to discuss their feelings, concerns, and barriers encountered while learning to drive, along with the driving behaviors, challenges, and strategies used when supporting people with ASD to learn to drive. Grounded theory analysis was used to shed light on the experience of learning to drive for people with ASD. Five themes emerged supporting the core construct that targeted support ameliorates intrinsic driving complexities, generating success: (a) challenges that increase the complexity of learning to drive, (b) external challenges to overcome, (c) concerns about the reality of driving, (d) the need for a specialized model of training, and (e) success is possible. These findings highlight the importance of developing an autism-specific driving training intervention designed for people with ASD, their families, and driving instructors.

Leading deep-sea research expeditions requires a breadth of training and experience, and the opportunities for Early Career Researchers (ECRs) to obtain focused mentorship on expedition leadership are scarce. To address the need for leadership training in deep-sea expeditionary science, the Crustal Ocean Biosphere Research Accelerator (COBRA) launched a 14-week virtual Master Class with both synchronous and asynchronous components to empower students with the skills and tools to successfully design, propose, and execute deep-sea oceanographic field research. The Master Class offered customized and distributed training approaches and created an open-access syllabus with resources, including reading material, lectures, and on-line resources freely-available on the Master Class website (cobra.pubpub.org). All students were Early Career Researchers (ECRs, defined here as advanced graduate students, postdoctoral scientists, early career faculty, or individuals with substantial industry, government, or NGO experience) and designated throughout as COBRA Fellows. Fellows engaged in topics related to choosing the appropriate deep-sea research asset for their Capstone “dream cruise” project, learning about funding sources and how to tailor proposals to meet those source requirements, and working through an essential checklist of pre-expedition planning and operations. The Master Class covered leading an expedition at sea, at-sea operations, and ship-board etiquette, and the strengths and challenges of telepresence. It also included post-expedition training on data management strategies and report preparation and outputs. Throughout the Master Class, Fellows also discussed education and outreach, international ocean law and policy, and the importance and challenges of team science. Fellows further learned about how to develop concepts respectfully with regard to geographic and cultural considerations of their intended study sites. An assessment of initial outcomes from the first iteration of the COBRA Master Class reinforces the need for such training and shows great promise with one-quarter of the Fellows having submitted a research proposal to national funding agencies within six months of the end of the class. As deep-sea research continues to accelerate in scope and speed, providing equitable access to expedition training is a top priority to enable the next generation of deep-sea science leadership.

Background & Aims: Mcl-1, an antiapoptotic protein overexpressed in many tumours, including hepatocellular carcinoma (HCC), represents a promising target for cancer treatment. Although Mcl-1 non-apoptotic roles might critically influence the therapeutic potential of Mcl-1 inhibitors, these functions remain poorly understood. We aimed to investigate the effects of hepatic Mcl-1 deficiency (Mcl-1Δhep) on hepatocyte ploidy and cell cycle in murine liver in vivo and the possible implications on HCC. Methods: Livers of young Mcl-1Δhep and wild-type (WT) mice were analysed for ploidy profile, mitotic figures, in situ chromosome segregation, gene set enrichment analysis and were subjected to two-thirds partial hepatectomy to assess Mcl-1 deficiency effect on cell cycle progression in vivo. Mcl-1Δhep tumours in older mice were analysed for ploidy profile, chromosomal instability, and mutational signatures via whole exome sequencing. Results: In young mice, Mcl-1 deficiency leads to nuclear polyploidy and to high rates of mitotic errors with abnormal spindle figures and chromosome mis-segregation along with a prolonged spindle assembly checkpoint activation signature. Chromosomal instability and altered ploidy profile are observed in Mcl-1Δhep tumours of old mice as well as a characteristic mutational signature of currently unknown aetiology. Conclusions: Our study suggests novel non-apoptotic effects of Mcl-1 deficiency on nuclear ploidy, mitotic regulation, and chromosomal segregation in hepatocytes in vivo. In addition, the Mcl-1 deficiency characteristic mutational signature might reflect mitotic issues. These results are of importance to consider when developing anti-Mcl-1 therapies to treat cancer. Impact and implications: Although Mcl-1 inhibitors represent promising hepatocellular carcinoma treatment, the still poorly understood non-apoptotic roles of Mcl-1 might compromise their successful clinical application. Our study shows that Mcl-1 deficiency leads to nuclear polyploidy, mitotic errors, and aberrant chromosomal segregation in hepatocytes in vivo, whereas hepatocellular tumours spontaneously induced by Mcl-1 deficiency exhibit chromosomal instability and a mutational signature potentially reflecting mitotic issues. These results have potential implications for the development of anti-Mcl-1 therapies to treat hepatocellular carcinoma, especially as hyperproliferative liver is a clinically relevant situation.

Abstract Forest transformation has major impacts on biodiversity and ecosystem functioning. Identifying the influence of forest habitat structure and composition on avian functional communities is important for conserving and managing forest systems. This study investigated the effect of forest structure and composition characteristics on bird species community structure, habitat use and functional diversity in 14 Mistbelt Forest patches of the Midlands of KwaZulu‐Natal in South Africa. We surveyed bird communities using point counts. We quantified bird functional diversity for each forest patch using three diversity indices: functional richness, functional evenness and functional divergence. We further assessed species‐specific responses by focussing on three avian forest specialists, orange ground‐thrush Geokichla gurneyi, forest canary Crithagra scotops and Cape parrot Poicephalus robustus. We found that bird community and forest‐specialist species responses to forest structure and tree species diversity differed. Also, forest structural complexity, canopy cover and tree species richness were the main forest characteristics better at explaining microhabitat influence on bird functional diversity. Forest patches with relatively high structural complexity and tree species richness had higher functional richness. Different structural characteristics influenced habitat use by the three forest specialists. Tree species diversity influenced C. scotops and G. gurneyi positively, while P. robustus responded negatively to forest patches with high tree species richness. Our study showed that site‐scale forest structure and composition characteristics are important for bird species richness and functional richness. Forest patches with high tree species diversity and structural complexity should be maintained to conserve forest specialists, bird species richness and functional richness.

The provision of quality healthcare relies on scales and measures with robust evidence of their psychometric properties. Using measurement instruments with poor reliability, validity, or feasibility, or those that are not appropriate for the target diagnostic group or construct/dimension under consideration, may be unfavorable for patients, unproductive, and hinder empirical advancement. Resources from the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) group can assist in identifying and developing psychometrically sound measures. The COSMIN initiative is the only international, research-based practice taxonomy and methodological guidelines for measurement in healthcare. This manuscript aims to provide an accessible introduction to theories, principles and practices of psychometrics, instrument properties, and scale development, with applied examples from the COSMIN recommendations. It describes why measurement in healthcare is critical to good practice, explains the concepts of the latent variable and hypothetical construct and their importance in healthcare assessments, explores issues of flawed measurement and briefly explains key theories relevant to psychometrics. The paper also outlines a ten-step process to develop and validate a new measurement instrument, with examples drawn from a recently developed visuoperceptual measure for analysis of disordered swallowing to demonstrate key concepts and provides a guide for understanding properties of and terminology related to measurement instruments. This manuscript serves as a resource for healthcare clinicians, educators, and researchers who seek to develop and validate new measurement instruments or improve the properties of existing ones. It highlights the importance of using psychometrically sound measurement instruments to ensure high-quality healthcare assessments.

AlxGa1-xN heterojunction FETs (HFETs) have been an eye catcher for high voltage power electronics with its potential to outperform the predecessors by virtue of high critical breakdown field of the material, which can be tuned by varying Al mole-fraction. In this work, we demonstrate Al0.23Ga0.77N channel HFETs on bulk AlN with a maximum drain current density > 300 mA/mm and a specific Ron = 4 mΩ·cm2. A buffer electric breakdown field >10 MV/cm was measured. A high voltage robustness comparison of Al0.23Ga0.77N channel HFETs and thin GaN HFETs close to their respective hard breakdown voltages is also concluded, which reveals the superior reliable operation of Al0.23Ga0.77N channel HFETs up to 80% of hard breakdown voltages along with a consistent ION/IOFF ratio subsequent to 2000V voltage sweep.

This review is dedicated to various functional nanoarchitectonic nanocomposites based on molecular octahedral metal atom clusters (Nb6, Mo6, Ta6, W6, Re6). Powder and film nanocomposites with two-dimensional, one-dimensional and zero-dimensional morphologies are presented, as well as film matrices from organic polymers to inorganic layered oxides. The high potential and synergetic effects of these nanocomposites for biotechnology applications, photovoltaic, solar control, catalytic, photonic and sensor applications are demonstrated. This review also provides a basic level of understanding how nanocomposites are characterized and processed using different techniques and methods. The main objective of this review would be to provide guiding significance for the design of new high-performance nanocomposites based on transition metal atom clusters.

The development of highly ultraviolet (UV) and near-infrared (NIR) absorbent transparent coatings is an important enabling technology and area of research for environmental sustainability and energy conservation. Different amounts of K4[{Nb5TaXi12}Xa6] cluster compounds (X = Cl, Br) dispersed into polyvinylpyrrolidone matrices were prepared by a simple, nontoxic and low-cost wet chemical method. The resulting solutions were used to fabricate visibly transparent, highly UV and NIR absorbent coatings by drop casting. The properties of the solution and films were investigated by complementary techniques (optical absorption, electrospray ionization mass spectrometry and Raman spectroscopy). The UV and NIR absorption of such samples strongly depended on the concentration, dispersion and oxidation state of the [{Nb5TaXi12}Xa6] nanocluster-based units. By varying and controlling these parameters, a remarkable improvement of the figures of merit TL/TE and SNIR for solar-glazing applications was achieved compared to the previous results on nanocomposite coatings based on metal atom clusters.

The purpose of this multi-site randomised controlled trial was to evaluate the effectiveness of a Driving Training Program, an intervention designed for student drivers with autism spectrum disorder (ASD). Participants were 72 student drivers with ASD (ages 16-31) who were randomly assigned to an intervention or control group. Student drivers received ten driving lessons with a professional driving instructor via a standardised driving route. The Driving Performance Checklist was used as the outcome measure to evaluate the driving performance of student drivers during on-road pre- and post-observational drives. Both groups showed an improvement in driving performance, however, the extent of improvement between groups was not significant. Findings showed promising intervention efficacy for training student drivers with ASD to drive.

Caregivers of adolescents with autism spectrum disorder commonly experience stigma. However, how stigma influences social interactions of adolescents with autism spectrum disorder is unclear. We aimed to explore the impact of caregiver stigma on real-life social experiences of Taiwanese adolescents with autism spectrum disorder. In the context of everyday activities, 76 adolescents with autism spectrum disorder who were not intellectually disabled (69 males, aged 10-16 years) carried a mobile device that prompted them 7 times, randomly, each day for 7 days to record with whom they were interacting, what they perceived, and how they felt about the interactions. Caregivers completed the Affiliate Stigma Scale to measure caregiver stigma. Multilevel analyses revealed that participants whose caregivers perceived high levels of stigma were more likely than those whose caregivers experienced less stigma to interact with family members and less likely to be interested in interacting with people at school. However, those participants also experienced more anxiety while interacting with family members. The findings shed light on ways that caregiver stigma impacted the social experiences of adolescents with autism spectrum disorder and suggest that, in promoting social participation for adolescents with autism spectrum disorder, researchers and service providers must support caregivers to manage stigma.

Purpose: Language intervention for children with language disorder may be effective; however, lack of detailed and consistent terminology for describing language interventions poses barriers for advancement within the field. This study aimed to develop consensus from speech-language pathologists (SLPs) in Australia on a taxonomy with terminology for describing language interventions for school-aged children and investigate SLPs' application of taxonomy terminology when describing child language interventions. Method: A taxonomy with terms for describing interventions was developed with reference to contemporary literature and presented to clinicians and researchers with expertise in child language disorders in a three-round Delphi study. We asked Delphi participants to indicate agreement with the taxonomy or propose changes. Application of the taxonomy was investigated by asking participants to use taxonomy terminology to describe interventions presented in two case studies. Results: The taxonomy consists of five aspects across which interventions may be described--modality/domain, purpose, delivery, form, and teaching techniques. Consensus on the taxonomy was established in both Round 1 (55 participants) and Round 2 (43 participants), with 100% of SLPs strongly agreeing or agreeing with the overall structure of the taxonomy and at least 87.3% of SLPs strongly agreeing or agreeing with each aspect. In Round 3 (32 participants), consensus was reached on 45/54 taxonomy categories (4/12 of the components) for Case Study 1 and 45/54 taxonomy categories (7/12 of the components) for Case Study 2. Conclusions: Consensus on a taxonomy with terminology for describing language interventions represents a significant advancement in the field of child language intervention. Future actions may be needed to facilitate consistent application of taxonomy terms.

This study investigated speech-language pathologists' (SLPs) perceptions of factors that influence application of a new taxonomy with terminology for describing child language assessment and identified strategies that may facilitate use of taxonomy terminology to collect data on SLP assessment practice. Semi-structured interviews were conducted with 13 SLPs and data were analyzed using thematic analysis. Three main themes were identified in relation to factors that may influence application including applying the taxonomy is arduous, contextual factors may influence application, and SLP experience and knowledge may influence application. Participants identified a number of strategies to facilitate use of taxonomy by SLPs. Findings from this study give insight into the factors that influence SLPs' application of a taxonomy of assessment terms. These findings are important for all SLPs in the child language field to consider if the profession is to be effective in establishing greater consistency in use of professional terminology.