bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring cascading effects of sensory processing on language skills and social‐communicative difficulties through play in young children at elevated likelihood for autism
Authors: Moerman Floor , Warreyn Petra , Noens Ilse , Steyaert Jean , van Esch Lotte , de Vries Lyssa , Madarevic Melinda , Segers Julie , Van Lierde Thijs ,   the TIARA‐team, Roeyers Herbert 
Published: October 2024

AbstractThis study investigated the association between Sensory processing (SP) (i.e., hyporesponsiveness, Sensory Seeking (SS) and hyperresponsiveness) at 10 months (M) and language/social‐communicative difficulties at 24M, mediated through object play at 14M in young children at elevated likelihood for autism (EL). Parent‐report instruments were used to measure all variables in younger siblings of children with autism (siblings, n = 74) and children born before 30 gestational weeks (preterms, n = 38). Higher scores of object play fully mediated the association between more SS and better language/less social‐communicative difficulties. Hypo‐ and hyperresponsiveness at 10M did not seem to predict language heterogeneity at 24M, but more hypo‐ and less hyperresponsiveness at 10M were associated with more social‐communicative difficulties at 24M. The explained variance in social‐communicative difficulties and language was limited (15.25%–16.39%). Similar associations were found for siblings and preterms. This highlights that high frequency of SP behaviors does not necessarily negatively affect communication in young EL‐children as is commonly assumed. Early object play skills play a role in the association between early SS and later language/social communicative difficulties. This implies that some criteria of the two core domains of characteristics of autism are interrelated in EL‐children, and this may have implications for early intervention programs.
Preparedness of Practicing Nurses in the Care of Sexual and Gender Diverse People in the United States: A Scoping Review
Authors: Bower Kelly M. , Dorsen Caroline , Hughes Tonda , Moore Scott Emory , Coleman Christopher Lance , Smith Sheila K. , Zerwic Julie , Newman Larry , Brown Camille , Sherman Athena D. F. 
Published: October 2024

ABSTRACTBackgroundSexual and gender diverse (SGD) people in the United States (US) experience health inequities due to societal stigma and marginalisation. The nursing workforce must provide evidence‐based affirming, inclusive and culturally responsive care for SGD people to meet individual and community health needs and eliminate disparities.AimsThe purpose of this scoping review was to synthesise what is known about (1) nurses' knowledge, skills and attitudes related to caring for SGD people in the US and (2) the existence, development and evaluation of SGD‐related educational offerings available to practicing nurses in the US to develop the knowledge and skills needed to promote the health and wellbeing of SGD individuals, families and communities.MethodsThis review followed the scoping review methodology and PRISMA for Scoping Reviews (PRISMA‐ScR).Data SourcesIn conjunction with a health librarian, an electronic literature search was conducted using PubMed, LGBT Health, CINAHL, ERIC and Health Source‐Nursing.ResultsThirty‐two studies were included in this review, including quantitative and qualitative studies that sought to understand the knowledge, attitudes and clinical experiences of nurses related to the care of SGD people; studies that tested educational interventions and studies that identified educational barriers and facilitators. Major gaps in education, practice and research, as well as methodological limitations of existing studies, were noted.ConclusionNurses would benefit from expanded access to effective standardised foundational SGD‐related health continuing education to help prepare them to care for diverse patient populations. Equity, inclusivity and dignity are key values of the nursing profession. It is imperative that nurses have the knowledge and skills to apply these values consistently in day‐to‐day professional practice across populations and settings.ImpactThere is an urgent need to develop standardised, easily accessible evidence‐based educational content to address nurses' knowledge of and attitudes towards caring for SGD people.Reporting MethodThis study adhered to the PRISMA‐ScR reporting guidelines.Patient or Public ContributionThere was no patient or public contribution to this study.
Registered Nurses' Attitudes Towards ChatGPT and Self‐Directed Learning: A Cross‐Sectional Study
Authors: Chang Li‐Chun , Wang Ya‐Ni , Lin Hui‐Ling , Liao Li‐Ling 
Published: October 2024

ABSTRACTBackgroundSelf‐directed, lifelong learning is essential for nurses' competence in complex healthcare environments, which are characterised by rapid advancements in medicine and technology and nursing shortages. Previous studies have demonstrated that ChatGPT technology fosters self‐directed learning by motivating users to engage with it.ObjectivesTo explore the relationships amongst socio‐demographic data, attitudes towards ChatGPT use, and self‐directed learning amongst registered nurses in Taiwan.MethodsA cross‐sectional study design with an online survey was adopted. Registered nurses from various healthcare settings were recruited through Facebook and LINE, a widely used messaging application in East Asia, reaching over 1000 nurses across five distinct online groups. An online survey was used to collect data, including socio‐demographic characteristics, attitudes towards ChatGPT use, and a self‐directed learning scale. Data were analysed using descriptive statistical methods, t‐tests, Pearson's correlation, one‐way analysis of variance, and multiple linear regression analysis.ResultsAmongst the 330 participants, 50.6% worked in hospitals, 51.8% had more than 15 years of work experience, and 78.2% did not hold supervisory positions. Of the participants, 46.7% had used ChatGPT. For all nurses, work experience and awareness of ChatGPT statistically significantly predicted self‐directed learning, explaining 32.0% of the variance. For those familiar with ChatGPT, work experience in nursing and the technological/social influence of ChatGPT statistically significantly predicted self‐directed learning, explaining 35.3% of the variance.ConclusionsWork experience in nursing provides critical opportunities for professional development and training. Therefore, ChatGPT‐supported self‐directed learning should be customised for degrees of experience to optimise continuous education.Implications for Nursing Management and Health PolicyThis study explores nurses' diverse use of and attitudes towards ChatGPT for self‐directed learning. It suggests that administrators customise support and training when incorporating ChatGPT into professional development, accounting for nurses' varied experiences to enhance learning outcomes.Patient or Public ContributionNo patient or public contribution.Reporting MethodThis study adhered to the relevant cross‐sectional STROBE guidelines.
The environmental costs of clean cycles: Quantitative analysis for the case of PVC window profile recycling in Germany
Authors: Schmidt Sarah , Gibon Thomas , Gutiérrez Tomás Navarrete , Lindemann Katrina‐Magdalena , Laner David 
Published: October 2024

AbstractRecycling schemes for long‐lived products are challenged by the presence of “legacy substances,” which have been used in production in the past, but are nowadays classified as substances of concern. This study quantitatively evaluates the trade‐offs between phasing out legacy substances, increasing circularity levels, and reducing life cycle impacts of polyvinylchloride (PVC) window profiles recycling in Germany based on a comprehensive dynamic material and substance flow analysis coupled with a prospective life cycle assessment. Scenario results indicate that although lead had been phased out in virgin PVC by 2015, lead concentrations in end‐of‐life PVC window profiles will remain above 0.3% until the end of the century without a restriction of lead in recycled PVC and will be by factor 3–5 higher compared to a restriction as stipulated by EU 2023/923. However, the latter is associated with lower recycling rates and higher life cycle environmental impacts of PVC window frame waste management, which cannot be fully compensated by the introduction of new waste treatment pathways using currently available technologies. The study serves to introduce a new comprehensive modeling framework, which allows for the consideration of trade‐offs between substance, material, and environmental impact dimensions as a basis for discussing and developing sustainable waste management strategies.
EXIOBASE energy accounts: Improving precision in an open‐sourced procedure applicable to any MRIO database
Authors: Rasul Kajwan , Schmidt Sarah , Hertwich Edgar G. , Wood Richard 
Published: October 2024

AbstractAs environmentally extended input–output tables are increasingly used for footprint and supply chain analysis, there has been a growing demand for precise, reliable, and intertemporally consistent environmental accounts. Energy accounts are particularly relevant. As well as providing insights into embodied energy, in the case of the multi‐regional input–output (MRIO) database EXIOBASE, they are the basis of the air emissions from fuel combustion. In this study we review previous methods and provide a more integrated and robust implementation for the EXIOBASE energy accounts that ensures higher levels of consistency between economic and physical data. Our results show that the new procedure significantly improves the precision of the energy use coefficients and multipliers, while reducing the number of outliers. The procedure is made publicly available for full transparency and made open source such that users and developers may raise issues and suggest improvements to the procedure. Furthermore, the procedure is standardized so it can be applied to any MRIO model with only minor adjustments to the input data.
Examining changes in household carbon footprints across generations in the UK using decomposition analysis
Authors: Owen Anne , Büchs Milena 
Published: October 2024

AbstractTo meet climate targets, consumption‐based household emissions need to fall rapidly. An important but still poorly understood question is whether generational change could contribute to decreases in emissions. It is sometimes assumed that younger generations such as Millennials and Generation Z are more concerned about climate change and have greener lifestyles than previous generations of the Silent Generation, Baby boomers, and Generation X, but carbon footprinting analysis typically focuses on age groups rather than comparing generations over time. This paper provides a first assessment of the change in consumption‐based carbon footprints of the Silent, Baby boomer, Generation X, and Millennial generations within the United Kingdom between 2001 and 2020 and a comparison of the footprints of different generational groups. The analysis is based on environmentally extended input–output analysis, using the Living Costs and Food Survey and emission data from the UK multi‐regional input–output database. We find some evidence for the hypothesis that younger generations have smaller footprints than older generations as Generation X and Millennial households have smaller carbon footprints compared to the generation before them at a similar life stage. We find that factors such as decarbonization, household occupancy, total expenditure, and changing consumption patterns contribute to the UK's changing carbon consumption emissions between 2001 and 2020, and the importance of these factors varies for different generational groups. However, future research that uses a longer time series is required to assess generational differences in carbon footprints over the whole lifespan of several generations.
Emerging Insights From a Research‐Practice Partnership Approach to Educational Neuroscience
Authors: Toomarian Elizabeth Y. , Gosavi Radhika S. , Hasak Lindsey R. , Bunderson Madison , McCandliss Bruce D. 
Published: October 2024

ABSTRACTAdvances in the field of Mind, Brain, and Education (MBE) have been limited by a fundamental separation between university‐based neuroscience laboratories and school communities, constraining the field's ability to collaboratively devise research studies germane to child development. This commentary explores the assertion that the persistent obstacles in MBE work may stem from how we structure these partnerships. We examine this premise through a detailed case study of a research‐practice partnership that has successfully implemented a range of innovative programmatic elements, including the establishment of specially trained liaisons, situating a neuroscience lab within a school, and actively involving practitioners and students in research. An analysis of the values that iteratively emerged from this approach may encourage other MBE stakeholders to consider affordances of this model when embarking upon future partnership endeavors.
Candidemia Following Severe COVID‐19 in Hospitalised and Critical Ill Patients: A Systematic Review and Meta‐Analysis
Authors: Srisurapanont Karan , Lerttiendamrong Bhoowit , Meejun Tanaporn , Thanakitcharu Jaedvara , Manothummetha Kasama , Thongkam Achitpol , Chuleerarux Nipat , Sanguankeo Anawin , Li Lucy X. , Leksuwankun Surachai , Langsiri Nattapong , Torvorapanit Pattama , Worasilchai Navaporn , Plongla Rongpong , Moonla Chatphatai , Nematollahi Saman , Kates Olivia S. , Permpalung Nitipong 
Published: October 2024

ABSTRACTRationaleThe epidemiology and clinical impact of COVID‐19‐associated candidemia (CAC) remained uncertain, leaving gaps in understanding its prevalence, risk factors and outcomes.MethodsA systematic review and meta‐analysis were conducted by searching PubMed, Embase and Scopus for reports of CAC prevalence, risk factors and clinical outcomes up to June 18, 2024. The generalised linear mixed model was employed to determine the prevalence and 95% confidence intervals (CIs). The risk factors and clinical outcomes were compared between patients with and without CAC using the inverse variance method.ResultsFrom 81 studies encompassing 29 countries and involving 351,268 patients, the global prevalence of CAC was 4.33% (95% Cl, 3.16%–5.90%) in intensive care unit (ICU) patients. In ICUs, the pooled prevalence of CAC in high‐income countries was significantly higher than that of lower‐middle‐income countries (5.99% [95% Cl, 4.24%–8.40%] vs. 2.23% [95% Cl, 1.06%–4.61%], p = 0.02). Resistant Candida species, including C. auris, C. glabrata (Nakaseomyces glabratus) and C. krusei (Pichia kudriavzveii), constituted 2% of ICU cases. The mortality rate for CAC was 68.40% (95% Cl, 61.86%–74.28%) among ICU patients. Several risk factors were associated with CAC, including antibiotic use, central venous catheter placement, dialysis, mechanical ventilation, tocilizumab, extracorporeal membrane oxygenation and total parenteral nutrition. Notably, the pooled odds ratio of tocilizumab was 2.59 (95% CI, 1.44–4.65).ConclusionsThe prevalence of CAC is substantial in the ICU setting, particularly in high‐income countries. Several risk factors associated with CAC were identified, including several that are modifiable, offering the opportunity to mitigate the risk of CAC.
What matters more for happiness than income in China: Intentional activities, social attitudes, or social comparison?
Authors: Huang Xianbi 
Published: October 2024

AbstractThe article integrates interdisciplinary insights in an analytical framework and aims to examine what factors matter more for happiness than income in China from a sociological perspective. The study emphasizes the importance of social contexts and adopts a mixed‐methods approach. Quantitative analysis of the 2015 Chinese General Social Survey data shows that intentional activities, social attitudes, and social comparison are significantly associated with Chinese people's happiness after economic circumstances and sociodemographic characteristics have been taken into account as control variables. In addition, qualitative analysis of in‐depth interviews helps to contextualize the quantitative findings and to enrich the understanding of why these factors rather than income would play a more significant role in making people happy in China. This study demonstrates the value of investigating happiness across disciplinary boundaries and makes an empirical contribution to examining subjective well‐being in contemporary society.
Situating homeostasis in organisms: maintaining organization through time
Authors: Bechtel William , Bich Leonardo 
Published: October 2024

AbstractSince it was inspired by Bernard and developed and named by Cannon, the concept of homeostasis has been invoked by many as the central theoretical framework for physiology. It has also been the target of numerous criticisms that have elicited the introduction of a plethora of alternative concepts. We argue that many of the criticisms actually target the more restrictive account of homeostasis advanced by the cyberneticists. What was crucial to Bernard and Cannon was a focus on the maintenance of the organism as the goal of physiological regulation. We analyse how Bernard's and Cannon's broad conception of what was required to maintain the organism was narrowed to negative feedback, characterized in terms of setpoints, by the cyberneticists and demonstrate how many of the alternative concepts challenge the role of setpoints – treating them as variable in light of circumstances or in anticipation of future circumstances, or as dispensable altogether. To support our analysis, we draw on the experimental and theoretical work on thermoregulation, a phenomenon that has been considered as a paradigmatic example of homeostasis and has been a common focus of those advancing alternative concepts. To integrate the insights advanced by the original proponents of homeostasis and the theorists proposing replacement notions we advance a framework in which regulation is viewed from the perspective of maintaining the organism.
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Multifidelity Aeromechanical Design Framework for High Flow Speed Multistage Axial Compressors
Authors: Nigro Rémy , Baert Lieven , Nyssen Florence , de Cazenove Jean , Dominique Joachim , Lepot Ingrid , Veglio Monica , Princivalle Rémy 
Published: October 2024

Abstract
The development of novel engine architectures is vital in achieving the aviation sector’s net-zero carbon emission target by 2050. With today’s digital decade providing support for an accelerated technology maturation, the challenge for turbomachinery design remains to significantly push the limits of current performance within an ambitious development lead time. In this context, it is essential to adopt a design framework where the predictive models or simulations employed target a sufficiently reliable performance assessment. These models must be tailored to the dynamics of an evolving industrial design process and therefore continuously balance required design flexibility, robust evaluation, appropriate fidelity (i.e., the level of detail and accuracy they provide), and resulting evaluation time. This article discusses a framework for designing axial compressors and its application to the aeromechanical optimization of a high-speed compressor rotor. The design environment integrates geometry parametrization, a modular evaluation with different levels of fidelity for the aerodynamic and structural models, and surrogate-based optimization (SBO) capabilities. It is shown how the combination of a modular sequencing of the different models and the acceleration enabled by high-performance computing (HPC) and machine learning allows for a more advanced preliminary design. A significant gain in isentropic efficiency is attained while satisfying all structural constraints. At the same time, it is demonstrated that the framework is compatible with the characteristics of the preliminary design phase: both in its ability to adapt to cycle and design changes as well as regarding the turnaround time of the optimization itself.
Using 2 Versions of the Test of Gross Motor Development to Classify and Screen Young Children’s Motor Skills: A Comparison Study
Authors: Palmer Kara K. , McKheen Alec , Palmer Stephanie A. , Wood Aaron P. , Stodden David F. , Robinson Leah E. 
Published: October 2024

Purpose: The purpose of this study was to examine comparability between 2 editions of the Test of Gross Motor Development (TGMD-second and TGMD-third edition) on (1) how children’s motor skills were categorized as average or below average, and (2) how children are screened for being at-risk for motor delay or with delayed motor skills. Methods: Participants were 226 children (Mage = 53.4 mo, 125 boys). All children completed full TGMD-2 and TGMD-3. Children were classified as average or above (>25th percentile) or below average (≤25th percentile) and, when applicable, as developmental delay (≤5th percentile) or at-risk for developmental delay (6–25th percentile). We compared children’s classifications across TGMD editions using percent agreement and chi-squared tests. Results: The TGMD-2 and TGMD-3 had moderate agreement when categorizing children as below average (72.2% for total skills, 76.0% for locomotor skills, and 73% for ball skills). The TGMD-3 was significantly more likely to categorize children’s motor skill performance as average or above (all P < .01). Conclusion: TGMD-2 and TGMD-3 similarly screen children who demonstrate below average skills (≤25th percentile), but not for specific skill level classifications, including above average, at-risk for delays, and delayed.
The Benefits of Acute Aerobic Exercise on Preadolescent Children’s Learning in a Virtual Classroom
Authors: Raine Lauren B. , Hopman-Droste Rachel J. , Padilla Abigail N. , Kramer Arthur F. , Hillman Charles H. 
Published: October 2024

Purpose: Today’s children are increasingly inactive, with >50% not meeting the recommended 60 minutes of daily physical activity (PA). Recent reports suggest scores in reading and mathematics have also declined. Virtual reality (VR) is a technology that can be used to simulate real-world scenarios, like classroom learning. This study investigated whether a single dose of walking benefits learning in a VR classroom (measured via quiz performance). Method: Forty-seven children (15 females, 9.64 [0.12] y) completed 2, randomized and counterbalanced 20-minute interventions on separate days: acute PA (walking) and seated rest (control), followed by a stationary educational lesson in a distracting VR classroom. Children then completed a quiz on the lesson. Results: Children had higher quiz performance following PA (z-score = 0.16 [0.13]) compared with following rest (z-score = −0.18 (0.14); F1,45 = 6.17, P = .017), indicating that PA enhanced learning. Children with average intelligence quotient had quiz performance that was higher after PA (z-score = 0.04 [0.20]) compared with after rest (z-score = −0.60 [0.19]), t(22) = 3.34, P = .003. Higher intelligence quotient children did not demonstrate differences in quiz performance after PA compared with after rest. Conclusions: Learning in a VR classroom may be improved following acute PA, particularly for children with average intelligence quotient. These findings support public health guidelines promoting PA across the day.
Complete genome sequences of sucrose non-fermenting non-O1/non-O139
Vibrio cholerae
isolated from human soft tissue infection
Authors: Hwang Haejin , Salo Geraldine , Orth Melanie , Podemski Nicole , Erickson Ray , Jawahir Selina , Cebelinski Elizabeth , Bekele Net , Draxler Brooke , Webb Paul , Verbrugge Emily , Klein Julia R. , Schleiss Mark R. , Hilt Evann E. , Decuir Marijke , Haan Jisun 
Published: October 2024

ABSTRACT

This paper describes the hybrid genome assembly of sucrose non-fermenting non-O1/non-O139
Vibrio cholerae
isolated from human soft tissue infection. The hybrid assembled genome comprises two circular chromosomes with lengths of 3,001,999 bp and 1,264,051 bp, respectively, with a G + C content of 47.38%.