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    19684 research outputs found

    Investigation on Acoustic Emission Characteristics of Lubricating Grease in Hydrodynamic Lubrication Regime

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    Traditional methods for monitoring lubrication and wear typically rely on indirect indicators such as temperature changes, vibration, or lubricant contamination. However, these approaches have limitations in that they are unable to provide real-time, direct insights into the micro-scale interactions occurring between frictional interfaces. This paper aims to explore the mechanisms and characteristics of acoustic emission (AE) signals generated by lubricants, particularly greases, in hydrodynamic lubrication (HL) regime, thereby enabling early detection of surface wear and degradation in mechanical systems. Based on the fundamental theory of elastic deformation strain energy release from micro-asperities, a model for AE signals of lubricants in HL regime was established. Experimental studies using a rheometer platform were conducted on lubricants to compare their flow properties and related friction signals. The results indicate that both lubricating greases and oils share similar characteristics, where shear rate and lubricant viscosity are significant factors affecting AE signals. These findings provide essential references for monitoring the lubrication state of friction pairs and the health condition of lubricants, especially in detecting early surface wear.</p

    Ending Up in Academia:A Story of Multiple Transitions

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    This chapter presents an autoethnographic account of the transition from a school-leaver teacher trainee to an academic researcher and teacher. The focus is on the notion of ‘becoming’ treading through a range of professional roles and doctoral research. The doctorate explored school transitions by combining Pierre Bourdieu’s and Basil Bernstein’s theoretical concepts. This framework was then utilised to shift attention from the researched to the researcher’s multiple identities and acts as a tool to analyse the transition into academia as a process of becoming

    Implementing interprofessional education in the nursing and pharmacy curricula:An evaluation of a workshop focused on optimising of medicines prescribed for mental health problems

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    Background: An inter-professional education (IPE) workshop centred around mental health scenarios was attended and assessed by 70 Nursing and Pharmacy students at the University of Huddersfield. Aim: The aim of this study was to evaluate the implementation of a curricula IPE workshop for undergraduate nursing and pharmacy students, focussing on the optimal use of medicines with mental health problems utilising clinically based scenarios. Methods: The workshop was evaluated using an internally produced cross-sectional questionnaire completed by student participants from both pharmacy and mental health nursing disciplines, scoring on Process/Knowledge and Relationships domains. Results: 70 participants (41 Mental Health Nursing students; 29 Pharmacy students) completed the questionnaire, who rated the content highly. Scores indicative of positive perception were reported by 65 respondents (92.9 %) on the Process/Knowledge domain and by 66 respondents (94.3 %) on the Relationships domain. Qualitative analysis of student evaluations demonstrated that both cohorts highly valued the workshop, with a shared appreciation of what each student group contributed. There was strong overall positivity toward working inter-professionally. Conclusion: IPE workshops act as a useful tool for promoting positive working relationships and collaboration to aid the effective sharing of knowledge and skills between differing professions.</p

    Energy efficiency support for software defined networks:a serverless computing approach

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    Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as those in the Internet of Things. However, the ever-growing and fluctuating demands for data and services in such applications require more than ever an efficient, scalable, and energy-aware network resource management. To address these challenges, this paper introduces a novel approach that leverages a modular architecture based on serverless functions within an energy-aware environment. By deploying SDN services as Functions as a Service (FaaS), the proposed approach enables dynamic, on-demand network function deployment, achieving significant cost and energy savings through fine-grained resource provisioning. Unlike previous monolithic SDN approaches, this work disaggregates SDN control plane into modular, serverless components, transforming tightly integrated functionalities into independent, on-demand services while ensuring performance, scalability, and energy efficiency. An analytical model is presented to approximate the service delivery time and power consumption, as well as an open source prototype implementation supported by an extensive experimental evaluation. Experimental results demonstrate significant improvement in energy efficiency compared to traditional approaches, highlighting the potential of this approach for sustainable network environments.</p

    Physical health proficiencies in mental health nursing education:Student nurses’ perspectives

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    Aim: To explore mental health nursing students’ perceptions and experiences of being taught physical health competencies in mental health nurse education. Background: Current standards for pre-registration nursing education in the UK require students to be taught and assessed on a range of physical health proficiencies. In the context of mental health nursing, this focus has been widely debated, with some academics arguing that it marks the beginning of a shift toward a more generalised approach to nursing. However, mental health nursing students - key stakeholders in the teaching and assessment process have not been actively involved in evaluating the relevance or validity of these proficiencies. Design: A cross-sectional design was used to evaluate student experiences. Methods: The study was conducted using an anonymous online questionnaire, incorporating quantitative and qualitative elements; administered to mental health nursing students from five UK universities to elicit their perceptions regarding the taught content and assessment of physical health proficiencies in their curriculum. Descriptive and inferential analysis was conducted on quantitative data; thematic analysis was conducted for qualitative data. Results: 115 mental health nursing students from UK universities participated in the survey. Quantitative findings revealed that respondents generally agreed on the importance of physical health skills and recognised the benefits of the related taught content. Qualitative analysis highlighted key factors influencing students' development of physical health competencies, including theoretical learning at university, clinical skills simulation and practical consolidation during placements. However, participants emphasised that transferability of taught physical skills could be enhanced by observing the application in mental health and broader healthcare settings, thereby increasing their perceived value for learning and practice. Conclusions: Mental health nursing students up to now a neglected voice have shown they value the physical health content of their courses. Greater attention is needed to ensure these skills are effectively experienced and assessed in practice. Further evaluation should include perspectives of students and registered mental health nurses responsible for integrating these procedures into performance assessments.</p

    A deep learning-based surrogate model for dynamic interaction assessment of high-speed overhead conductor rail system

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    Overhead conductor rail (OCR) is a critical power-supplying structure for trains in railway tunnels. As operating speed increases, assessing the dynamic interaction of the pantograph-OCR system (POCR) becomes increasingly crucial, which is widely analysed using the finite element method. However, this approach has high computational costs when applied to large-scale cases. To tackle this issue, a surrogate model that simultaneously predicts multiple indicators for evaluating the dynamic performance is developed using deep learning in this paper. Firstly, a mathematical model simulating the dynamic behaviour of the POCR is proposed and validated against measurement data. Five input OCR structural parameters are extracted, based on which three output indicators are calculated by the mathematical model. Next, a sampling strategy is employed to establish a parameter variable space for 30,000 cases. The numerical model is used to generate the 20,000 cases for setting up a database. Thirdly, a hybrid network architecture combining convolutional neural networks (CNN) and long short-term memory (LSTM) network is proposed to construct the surrogate model and simulate the remaining 10,000 cases, with optimal hyperparameters determined through an optimisation strategy. The results indicate that the maximum relative errors in three output indicators between numerical simulation and surrogate model are 4.17 %, 6.73 %, and 4.75 %, respectively. The sensitivity analysis is performed to reveal the effect of structural parameters on the dynamic performance of the POCR, and span length is the most influential factor.</p

    A Managed Approach to On-Street Sex Working:Messages for Social Work Practice

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    Presently, there is limited research examining sex work and social work in the UK; however, the needs of sex workers often intersect with various areas of practice. This article sets out to enhance social work practice by drawing upon empirical findings from an Independent Review of the Managed Approach to On-Street Sex Working (2020) commissioned by the Safer Leeds Partnership. The Review evaluated the implementation of an approach to on-street sex work introduced in 2014, which established the parameters of on-street sex working in the city, including geographical boundaries and hours. Furthermore, it implemented a multi-agency response to managing problems or needs associated with its presence in the community. The Review of the Managed Approach employed a mixed-method approach that included sex workers, residents, businesses and professionals. However, this article will focus on thematically analysed qualitative data from semi-structured interviews conducted with sex workers and specialist agencies and focus groups with professionals working across a range of related fields. It will explore examples of good practice relevant to social work, whilst highlighting broader structural impediments that increase marginalisation for sex workers. In order to do so, it will draw upon the work of Butler (2006, 2009, 2020) to examine the data

    Interfacial Dual-Modulation via Electrostatic Shielding and Dead Lithium Reactivation for Solid-State Lithium Energy Storage

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    Solid-state lithium metal battery with high energy density suffers from a short lifespan owing to the ceaseless generation of inactive lithium and electrically-isolated lithium at electrode/electrolyte interface. One strategy for interfacial dual modulation is proposed by introducing a KI-modified solid polymer electrolyte (SPE-KI). The utilization of lithium sources is significantly improved through the electrostatic shielding effect of trace K+ and reactivation of the dead lithium by I−/I3− redox couple. Further sensitive in situ/ex situ characterizations and finite element simulations quantify the structural distribution and specific content of solid electrolyte interphase (SEI) generated by KI interfacial dual-modulation. The resulted Li|SPE-KI|LiFePO4 cell displays an excellent cycling performance with 82.7 % capacity retention after 1600 cycles at 2 C. Such interfacial dual-protection strategy stemmed from trace functional additives broadens design horizons for solid-state lithium energy storage

    Re-reading men’s facial hair:the case of the modernization of the Turkish civil service

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    This paper presents a critical analysis of the links between modernization and masculinities in Türkiye through the case of the regulation of men’s hair in the civil service. The Turkish civil service is an institution where the state has accumulated and deployed power, disciplined its civil servant employees, and shaped and transformed masculinities as part of the broader process of modernization. Both the civil service as a research field, and men’s hair, despite its powerful symbolic importance in politics, have been neglected in critical studies on men and masculinities. To fill this gap, four momentous changes in civil service history in Türkiye are examined, as a part of the modernization project over the last two centuries and simultaneous reciprocal interrelations of macro- and meso-processes with men’s facial hair. These changes have been targeted towards or resulted in transformations of men’s facial hair in the civil service, in turn constructing state-sanctioned masculinities in the civil service and society.</p

    Linking Forces of Energy Efficiency, Technological Innovation, and Financial Development:Pathway to Economic Recovery in Post-COVID-19 Era and Sustainable Development

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    Our paper examines the strategies for achieving economic recovery from the adverse effects of COVID-19 and outlines a pathway for sustainable economic development in Brazil, one of the emerging economies that suffered economic setbacks due to the pandemic. In the post-COVID-19 era, countries worldwide are actively formulating strategies to recover economically and, in most cases, are aiming for targeted sustainable development. Against this backdrop, we adopt Brazil’s time series data of 2001Q1–2019Q4 to investigate and unveil the best global practice for the quick recovery of the country’s economic development and equally advise on the best policies to engender sustainable economic development of the country. Our analysis focused on policy-rooted instruments (energy efficiency, financial development, and technological innovation). To achieve the objectives of this study, we utilized a novel nonlinear autoregressive distributed lag (NARDL), asymmetric econometric techniques to analyze the data. The findings from our analyses confirm the highlighted objectives of the study and support the application of the selected instruments in economic recovery and the pursuit of sustainable development in Brazil. Specifically, the positive shocks to the energy efficiency of Brazil (LNENFFIC) have a positive impact on its economic development in both the short and long run. Similarly, the positive and negative shocks to Brazil’s financial development (FD) displayed positive and negative impacts on Brazil’s economic progress in both short run and long-term periods. The positive and negative shocks to Brazil’s technological innovation influence its economy in both the long run and short run. These findings emphasize that the instruments selected—energy efficiency, financial development, and technology—are effective in reinvigorating Brazil’s economy. The implications suggest that well-designed policies based on these instruments have the potential to make a significant contribution to Brazil’s economic recovery and long-term sustainable development

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