Artificial intelligence approaches for advanced battery management system in electric vehicle applications : a statistical analysis towards future research opportunities

In order to reduce carbon emissions and address global environmental concerns, the automobile industry has focused a great deal of attention on electric vehicles, or EVs. However, the performance and health of batteries can deteriorate over time, which can have a negative impact on the effectiveness of EVs. In order to improve the safety and reliability and efficiently optimize the performance of EVs, artificial intelligence (AI) approaches have received massive consideration in precise battery health diagnostics, fault analysis and thermal management. Therefore, this study analyzes and evaluates the role of AI approaches in enhancing the battery management system (BMS) in EVs. In line with that, an in-depth statistical analysis is carried out based on 78 highly relevant publications from 2014 to 2023 found in the Scopus database. The statistical analysis evaluates essential parameters such as current research trends, keyword evaluation, publishers, research classification, nation analysis, authorship, and collaboration. Moreover, state-of-the-art AI approaches are critically discussed with regard to targets, contributions, advantages, and disadvantages. Additionally, several significant problems and issues, as well as a number of crucial directives and recommendations, are provided for potential future development. The statistical analysis can guide future researchers in developing emerging BMS technology for sustainable operation and management in EVs. © 2023 by the authors

“Do our diversities count?” Collaborative reflections on dwelling in academe’s intersectional shadowlands

The promotion of equity, diversity and inclusion initiatives has become routine within Anglophone universities in the Global North. However, critical race scholars have demonstrated that these well-intentioned policies are often formulated in ways that transact empty performatives, where discussions of racism are deemed too challenging. Moreover, the dynamics of social class are often missing from university diversity regimes. Using autoethnography as methodology, we suggest that the practices of “border crossings” of intersectional academics can help track the multidirectional impacts of institutional diversity and inclusion discourses within Australian universities. As class and race intermix, we operate in a metaphorical “shadowland”; our border criss-crossings and places of dwelling highlight the blurriness of privileged and marginalised identities, with some minoritised statuses seemingly too visible while others are obscured. Despite this, and albeit brought into being through largely unrewarded emotional labour, our emphasis is on demonstrating how intersectional subjects’ dialoguing in academe is a form of quiet resistance, offering hope for creating new becomings. © 2023 Informa UK Limited, trading as Taylor & Francis Group

Effects of job crafting and leisure crafting on nurses' burnout : a machine learning-based prediction analysis

Aim. To explore the status of job crafting, leisure crafting, and burnout among nurses and to examine the impact of job crafting and leisure crafting variations on burnout using machine learning-based models. Background. The prevalence of burnout among nurses poses a severe risk to their job performance, quality of healthcare, and the cohesiveness of nurse teams. Numerous studies have explored factors influencing nurse burnout; however, few involved job crafting and leisure crafting synchronously and elucidated the effect differences of the two crafting behaviors on nurse burnout. Methods. Multicentre cross-sectional survey study. Nurses (n = 1235) from four Chinese tertiary hospitals were included. The Maslach Burnout Inventory-General Survey, the Job Crafting Scale, and the Leisure Crafting Scale were employed for data collection. Four machine learning algorithms (logistic regression model, support vector machine, random forest, and gradient boosting tree) were used to analyze the data. Results. Nurses experienced mild to moderate levels of burnout and moderate to high levels of job crafting and leisure crafting. The AUC (in full) for the four models was from 0.809 to 0.821, among which the gradient boosting tree performed best, with 0.821 AUC, 0.739 accuracy, 0.470 sensitivity, 0.919 specificity, and 0.161 Brier. All models showed that job crafting was the most important predictor for burnout, while leisure crafting was identified as the second important predictor for burnout in the random forest model and gradient boosting tree model. Conclusion. Even if nurses experienced mild to moderate burnout, nurse managers should develop efficient interventions to reduce nurse burnout. Job crafting and leisure crafting may be beneficial preventative strategies against burnout among nurses at present. Implications for Nursing Management. Job and leisure crafting were identified as effective methods to reduce nurse burnout. Nurse managers should provide more opportunities for nurses' job crafting and encourage nurses crafting at their leisure time. © 2024 Yu-Fang Guo et al

Thermal spray coatings on high-temperature oxidation and corrosion applications – a comprehensive review

In high-temperature boiler operations, conventional steels and alloys grapple with the formidable challenges posed by oxidation and corrosion. Prolonged exposure to extreme thermal conditions exacerbates these issues, progressively diminishing operational efficiency. Surface treatment emerges as a pivotal strategy for safeguarding materials against deterioration while optimizing component performance cost-effectively. Recent attention has honed on surface coatings as a means to combat hot corrosion in boiler steels. Thermal coating, electroplating, and other metallurgical techniques are widely embraced for surface modification, with composite coatings gaining traction for bolstering metallurgical, mechanical, and corrosion resistance properties. This review, unlike any other, takes a comprehensive approach to exploring various thermal spraying methods and their applications, ensuring a robust understanding of the subject matter. Beyond a mere compilation of existing literature, this review identifies emerging trends and technologies, offering fresh insights and interpretations. In this work, 84 articles were critically evaluated for current research, discerning strengths, weaknesses, and avenues for future research on thermal spray coatings on high-temperature oxidation and corrosion. This incisive approach promises to enrich the knowledge base of researchers, scholars, and professionals in materials science, metallurgy, and industrial engineering, facilitating advancements in the field. By pinpointing research gaps in thermal spray coating, this study directs attention toward areas ripe for further investigation, fostering continued innovation and progress. © 2024 The Author

Current extent and future opportunities for living shorelines in Australia

Living shorelines aim to enhance the resilience of coastlines to hazards while simultaneously delivering co-benefits such as carbon sequestration. Despite the potential ecological and socio-economic benefits of living shorelines over conventional engineered coastal protection structures, application is limited globally. Australia has a long and diverse coastline that provides prime opportunities for living shorelines using beaches and dunes, vegetation, and biogenic reefs, which may be either natural (‘soft’ approach) or with an engineered structural component (‘hybrid’ approach). Published scientific studies, however, have indicated limited use of living shorelines for coastal protection in Australia. In response, we combined a national survey and interviews of coastal practitioners and a grey and peer-reviewed literature search to (1) identify barriers to living shoreline implementation; and (2) create a database of living shoreline projects in Australia based on sources other than scientific literature. Projects included were those that had either a primary or secondary goal of protection of coastal assets from erosion and/or flooding. We identified 138 living shoreline projects in Australia through the means sampled starting in 1970; with the number of projects increasing through time particularly since 2000. Over half of the total projects (59 %) were considered to be successful according to their initial stated objective (i.e., reducing hazard risk) and 18 % of projects could not be assessed for their success based on the information available. Seventy percent of projects received formal or informal monitoring. Even in the absence of peer-reviewed support for living shoreline construction in Australia, we discovered local and regional increases in their use. This suggests that coastal practitioners are learning on-the-ground, however more generally it was stated that few examples of living shorelines are being made available, suggesting a barrier in information sharing among agencies at a broader scale. A database of living shoreline projects can increase knowledge among practitioners globally to develop best practice that informs technical guidelines for different approaches and helps focus attention on areas for further research. © 202

Elastic step DQN : a novel multi-step algorithm to alleviate overestimation in deep Q-networks

Deep Q-Networks algorithm (DQN) was the first reinforcement learning algorithm using deep neural network to successfully surpass human level performance in a number of Atari learning environments. However, divergent and unstable behaviour have been long standing issues in DQNs. The unstable behaviour is often characterised by overestimation in the Q-values, commonly referred to as the overestimation bias. To address the overestimation bias and the divergent behaviour, a number of heuristic extensions have been proposed. Notably, multi-step updates have been shown to drastically reduce unstable behaviour while improving agent's training performance. However, agents are often highly sensitive to the selection of the multi-step update horizon (n), and our empirical experiments show that a poorly chosen static value for n can in many cases lead to worse performance than single-step DQN. Inspired by the success of n-step DQN and the effects that multi-step updates have on overestimation bias, this paper proposes a new algorithm that we call ‘Elastic Step DQN’ (ES-DQN) to alleviate overestimation bias in DQNs. ES-DQN dynamically varies the step size horizon in multi-step updates based on the similarity between states visited. Our empirical evaluation shows that ES-DQN out-performs n-step with fixed n updates, Double DQN and Average DQN in several OpenAI Gym environments while at the same time alleviating the overestimation bias. © 2024 The Author

Adopting a systems-thinking approach to optimise dietary and exercise referral practices for cancer survivors

Purpose: Service referrals are required for cancer survivors to access specialist dietary and exercise support. Many system-level factors influence referral practices within the healthcare system. Hence, the aim of this study was to identify system-level factors and their interconnectedness, as well as strategies for optimising dietary and exercise referral practices in Australia. Methods: A full-day workshop involving national multidisciplinary key stakeholders explored system-level factors impacting dietary and exercise referral practices. Facilitated group discussions using the nominal group technique identified barriers and facilitators to referral practices based on the six World Health Organisation (WHO) building blocks. The systems-thinking approach generated six cognitive maps, each representing a building block. A causal loop diagram was developed to visualise factors that influence referral practices. Additionally, each group identified their top five strategies by leveraging facilitators and addressing barriers relevant to their WHO building block. Results: Twenty-seven stakeholders participated in the workshop, including consumers (n = 2), cancer specialists (n = 4), nursing (n = 6) and allied health professionals (n = 10), and researchers, representatives of peak bodies, not-for-profit organisations, and government agencies (n = 5). Common system-level factors impacting on referral practices included funding, accessibility, knowledge and education, workforce capacity, and infrastructure. Fifteen system-level strategies were identified to improve referral practices. Conclusion: This study identified system-level factors and strategies that can be applied to policy planning and practice in Australia. © Crown 2024

Potential for person-to-person transmission of Henipaviruses : a systematic review of the literature

Nipah virus Bangladesh (NiVB) is a bat-borne zoonosis transmitted between people through the respiratory route. The risk posed by related henipaviruses, including Hendra virus (HeV) and Nipah virus Malaysia (NiVM), is less clear. We conducted a broad search of the literature encompassing both human infections and animal models to synthesize evidence about potential for person-to-person spread. More than 600 human infections have been reported in the literature, but information on viral shedding was only available for 40 case-patients. There is substantial evidence demonstrating person-to-person transmission of NiVB, and some evidence for NiVM. Less direct evidence is available about the risk for person-to-person transmission of HeV, but animals infected with HeV shed more virus in the respiratory tract than those infected with NiVM, suggesting potential for transmission. As the group of known henipaviruses continues to grow, shared protocols for conducting and reporting from human investigations and animal experiments are urgently needed. © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America

Registered nurses’ knowledge, attitudes and practices of pain management for aged care residents with dementia : an integrative review

Aim: To assess the knowledge, attitudes and practices of Registered Nurses working in residential aged care facilities pertaining to pain management for residents living with dementia. Background: Sub-optimal pain management continues for people living with dementia in residential aged care. Registered Nurses are the pivotal staff responsible for complex assessment and management of people residing in residential aged care facilities. Design and methods: :This integrative literature review was informed by Whittemore (2005). Searching and screening followed the PRISMA guidelines. Results: Thirteen papers were identified, the major themes identified were gaps in knowledge and skills, uncertainty of assessment, and delays in treatment. Conclusion: Registered Nurses require education on pain management for people living with dementia in residential aged care. Broader issues in residential aged care contribute to the problem and require examination. Research pertaining to Registered Nurses’ roles pain management for residents living with dementia is required. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

A survey of commercial and industrial demand response flexibility with energy storage systems and renewable energy

The transition from traditional fuel-dependent energy systems to renewable energy-based systems has been extensively embraced worldwide. Demand-side flexibility is essential to support the power grid with carbon-free generation (e.g., solar, wind.) in an intermittent nature. As extensive energy consumers, commercial and industrial (C&I) consumers can play a key role by extending their flexibility and participating in demand response. Onsite renewable generation by consumers can reduce the consumption from the grid, while energy storage systems (ESSs) can support variable generation and shift demand by storing energy for later use. Both technologies can increase the flexibility and benefit by integrating with the demand response. However, a lack of knowledge about the applicability of increasing flexibility hinders the active participation of C&I consumers in demand response programs. This survey paper provides an overview of demand response and energy storage systems in this context following a methodology of a step-by-step literature review covering the period from 2013 to 2023. The literature review focuses on the application of energy storage systems and onsite renewable generation integrated with demand response for C&I consumers and is presented with an extensive analysis. This survey also examines the demand response participation and potential of wastewater treatment plants. The extended research on the wastewater treatment plant identifies the potential opportunities of coupling biogas with PV, extracting the thermal energy and onsite hydrogen production. Finally, the survey analysis is summarised, followed by critical recommendations for future research. © 2024 by the authors