Glasgow Caledonian University

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    6522 research outputs found

    The personal statement: a tool for developing the pedagogical potential of storytelling in business management education?

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    This chapter explores use of the Personal Statement (PS) in creating instructional interventions designed to nurture, encourage, facilitate and help students become better learners. It contributes to the literature on passion-inspired learning by presenting the student-written PS as a starting point for identifying and developing passions to support student learning throughout the Higher Education curriculum. The chapter is presented in a play script format. It describes and reflects on an attempt to formally embed academic skills development in to a revised Business Management degree. But sometimes things do not go according to plan. We highlight the challenges and delineate lessons learned

    The impact of compliance, board committees and insider CEOs on firm survival during crisis

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    This study investigates the relationship between internal corporate governance mechanisms and firm survival during a financial crisis. Using a sample of FTSE 350 listed companies for the time period 2003–2010, our results show significant differences in the corporate governance mechanisms of firms that survived and those that failed during the 2007–2009 financial crisis. The findings indicate that compliance with the UK Corporate Governance Code is negatively associated with the survival of firms when they experience exogenous shocks. However, the existence of insider CEOs and a higher number of board committees in organisations increase the chances of survival during an economic downturn. These findings have policy implications and show that non-compliance with a prescribed code of corporate governance does not necessarily lead to poor governance. Moreover, the establishment of extra board committees and CEO succession planning are shown as important dynamics in firms’ strategic decisions, as they have implications for the survival of firms during difficult economic conditions

    Orthopaedic surgeons’ knowledge and practice of radiation safety when using fluoroscopy during procedures: a narrative review

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    Objectives: The fluoroscopy environment poses a potential occupational radiation exposure risk to theatre personnel. Risks can be mitigated with effective application of radiation protection knowledge and methods. This review aimed to determine the link between orthopaedic surgeon's knowledge and the use of appropriate safety methods when using fluoroscopy. Key Findings: A keyword search of three databases discovered six articles, totalling 2209 orthopaedic surgeons, who completed surveys to assess knowledge on various aspects of radiation safety and training. Participants had varying levels of experience. Moreover 1981 participants always wore a lead gown (89 %), while only 1052 participants wore thyroid protection (47 %). 449 participants (20 %) received some form of training. Conclusion: Although surveys asked a range of questions it appeared that there was low knowledge of the ALARP principles. Usage of protective equipment is a legal requirement and thus was observed throughout, however, there were a number of incidences of disregarding some protective measures. Although there appeared to be limited knowledge surrounding radiation protection measures and lack of training provided, no clear link was demonstrated between compliance with protective methods and knowledge of the risks. Implications for practice: Formal and continuous training should be provided for the enhancement of knowledge to ensure the safety of all staff and help prevent the long-term effects of ionising radiation when using fluoroscopy.</p

    Arctic childhood in data-driven culture: wearable technology and children’s right to privacy in Finland

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    The article discusses the definition of ‘Arctic childhood’: how it affects the ideal of childhood in the Arctic countries while differentiating it from understandings of childhood in more temperate climates. Arctic childhood offers novel viewpoints to the concept of childhood. It grants agency to the non-human world: environment, weather and design solutions such as clothes and wearable technology. It also highlights how these shape the concept of childhood in the Arctic and beyond. The article focuses on wearable technology, which brings new legal issues to considerations of childhood in data-driven culture. The central argument is two-fold. As design solutions, wearable technology may preserve the ideal of the active child, essential to Arctic and Finnish childhoods. Legally, however, there are some issues: since wearable technology is designed to bring forth and share with others the vital functions of the child’s body, it raises concerns about children’s fundamental right to privacy and data protection. By bringing together fashion studies and the doctrinal study of law, and by using wearable technology as an example, the article argues that multidisciplinary approaches are needed when new technologies designed to track and monitor individuals are offered to minors in the name of staying healthy

    Implementation of a Frailty Care Bundle (FCB) to reduce hospital associated decline in older orthopaedic trauma patients: pretest-posttest intervention study

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    BackgroundHospital associated decline (HAD) in older patients is an under-recognised and under-treated hospital harm. Fundamental care prioritising mobilisation, nutrition and cognitive well-being is protective against HAD, but it is inconsistently priortised in busy clinical settings. ObjectiveThe study aimed to implement and evaluate a frailty care bundle (FCB) for orthopaedic trauma patients in acute and rehabilitation settings to increase mobilisation, nutrition and cognitive well-being to reduce HAD. The intervention was delivered during the COVID-19 pandemic. DesignThe implementation science study used a step wedge pre-post design with multi-methods evaluation. Setting: Four wards across two hospitals: two acute trauma orthopaedic wards (n=62 beds) and two orthopaedic rehabilitation wards (n=33 beds). Participants: We enrolled 120 participants (pre n=60 and post n=60 implementation of the FCB across sites and wards), and at post-discharge follow-up there were 74 participants (pre n=43, post n=36).MethodsThe intervention implementation was underpinned by behaviour change theory COM-B and Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS). All wards received the intervention. A clinical facilitator worked with ward teams to prioritise and implement changes. The main changes were: setting a daily patient mobility goal, promoting assisted meal times, additional snacks, provision of distraction resources, and communication. Implementation strategies included establishing a multdisciplinary team local implementation group, staff education, audit and feedback, coaching, and role modelling. The main outcomes were participants' return to pre-trauma baseline functional capability at 6-8 weeks post-hospital discharge measured using the modified Bartels Index (mBI) and median hospital step count measured using accelerometers. Descriptive statistics included medians, interquartile ranges (IQR), proportions and percentages. Pre versus post group differences were estimated using log-linear models for step count and ordinal regression models for mBI and other outcomes. Odds ratios (OR) and 95% confidence intervals (CI) are reported. ResultsParticipants median age was 78 years, 83% were female and the post intervention group tended to be more frail. During hospitalisation, accelerometer data indicated a non-significant 11% (OR 1.11 95% 0.72-1.7) increase in post-intervention step count compared to pre. Post-intervention participants were more likely than pre-intervention participants to report higher post-discharge mBI scores relative to pre-admission scores OR 2.29( 95% CI 0.98-5.36), but it was not statistically significant (p=0.056). ConclusionIt was feasible to implement aspects of the FCB that ward teams had influence over, but system barriers persisted in addition to COVID-19 challenges. The changes remain tentative and require ongoing facilitation and monitoring for sustainability. Improved consistency in fundamental care, especially mobilisation may accelerate functional recovery<br/

    Direct numerical simulation of a moving droplet impacting a moving particle: effects of particle–droplet density ratio, Bond number, and Reynolds number

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    In this work, a moving droplet impacting a moving particle is investigated for a wide range of impact conditions: particle–droplet density ratio (1 ≤ Ω ≤ 10), Bond number (0.177 ≤ Bo ≤ 1.765), and Reynolds number (16.381 ≤ Re ≤ 32.763), by using the lattice Boltzmann method (LBM) coupled with a modified immersed boundary method. Six key results are obtained. (1) Three collision regimes are identified in this work: separation, deposition, and agglomeration. (2) The separation regime can be split into two sub-regimes: separation-I and separation-II. (3) And the agglomeration also has two sub-regimes: agglomeration-I and agglomeration-II. In the available literature, the agglomeration-II was discussed only for a droplet impacting a fixed particle, but never for a moving particle. (4) For deposition and agglomeration, the vertical velocity of the particle experiences three stages, while for separation, the vertical velocity of the particle can be classified into four stages. (5) For separation-II process, the vertical velocity of the droplet is larger than its particle counterpart. (6) A regime map for Re–Ω is concluded.</p

    Predicting gas diffusion layer flow information in proton exchange membrane fuel cells from cross-sectional data using deep learning methods

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    Obtaining transient flow field information of gas diffusion layers (GDLs) is a crucial issue for improving the performance of proton exchange membrane fuel cells (PEMFCs). While physically-based methods, such as effective medium theory and solving partial differential equations, can be utilized to calculate fluid flow in GDL, the computational cost associated with such methods remains substantial. In this study, a 3D multiphase flow dataset of GDLs is obtained using fluid of volume (VOF) calculation, and the 3D data is sliced. The resulting cross-sectional data are used to establish a convolutional neural network (CNN) model based on two-dimensional (2D) data for predicting fluid flow in GDLs. The reliability of predicting the saturation information of 3D GDLs using 2D cross-sectional data is verified and discussed. Subsequently, a comparison is made between the accuracy and computational cost of predicting the saturation of 3D GDLs using 2D and 3D CNN models. The results indicate that using 25 cross-sectional images provide accurate predictions of GDL saturation in 3D. When using cross-sectional images as inputs, 100 × 100 images are found to be more representative than 50 × 50 images, resulting in an average increase of 1.86% and 13.36% in R2 and RMSE, respectively. While the 3D CNN model outperforms the 2D CNN model in predicting GDL saturation in 3D by only 0.62% in terms of R2 score, its computational cost is two orders of magnitude higher. These findings suggest that 2D GDL cross-sectional images can also be used for predicting 3D GDL flow information and effectively reducing computational costs. The findings of this study provide a profound insight into the GDL flow phenomena and contribute to the development of more efficient and accurate fuel cell models.</p

    Control intervention design for preclinical and clinical trials: consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable

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    Control comparator selection is a critical trial design issue. Preclinical and clinical investigators who are doing trials of stroke recovery and rehabilitation interventions must carefully consider the appropriateness and relevance of their chosen control comparator as the benefit of an experimental intervention is established relative to a comparator. Establishing a strong rationale for a selected comparator improves the integrity of the trial and validity of its findings. This Stroke Recovery and Rehabilitation Roundtable (SRRR) taskforce used a graph theory voting system to rank the importance and ease of addressing challenges during control comparator design. “Identifying appropriate type of control” was ranked easy to address and very important, “variability in usual care” was ranked hard to address and of low importance, and “understanding the content of the control and how it differs from the experimental intervention” was ranked very important but not easy to address. The CONtrol DeSIGN (CONSIGN) decision support tool was developed to address the identified challenges and enhance comparator selection, description, and reporting. CONSIGN is a web-based tool inclusive of seven steps that guide the user through control comparator design. The tool was refined through multiple rounds of pilot testing that included more than 130 people working in neurorehabilitation research. Four hypothetical exemplar trials, which span preclinical, mood, aphasia, and motor recovery, demonstrate how the tool can be applied in practice. Six consensus recommendations are defined that span research domains, professional disciplines, and international borders.</p

    Data-driven H∞ control of constrained systems: an application to bilateral teleoperation system

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    A novel, identification-free, data-driven (DD) H∞ method is presented for discrete-time (DT) linear time-invariant (LTI) systems under physical limitations and norm-bounded disturbances. The presented approach does not demand information on system matrices or any measurements of disturbance affecting the system. The only information needed to develop a static state-feedback (SF) controller is the bounds on disturbances, states and control signals. It is assumed that only the disturbance input matrix and the performance matrices the user generally defines are known, and all others are entirely unknown. The proposed method relies on the closed-loop (CL) parametrization of the LTI system with control input and state measurements. The system states' disturbances are handled as affine uncertainties, later represented as Linear Fractional Transformation (LFT). For obtaining a less conservative controller, a full block S-procedure method (FBSPM) is used, which takes advantage of relaxations such as convex hull relaxation or Pólya relaxation for the inner approximation of the disturbance set with arbitrary precision. Numerical illustrations and extensive case studies on a bilateral teleoperation system indicate that the proposed design method allows us to obtain very effective controllers which never exceed the bounds of the state and input variables and are capable of reference and force tracking

    Marketing the sport and exercise psychology consultancy practice

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    As sport psychology consultants, we might believe our expertise lies in the practice of sport psychology, not in the business of sport psychology; but this circumstance seems unfortunate because navigating the business and marketing world offers much stability and freedom to a practitioner in private practice. More critically, to be a sustainable service in public consciousness, we need to market our services accessibly and sustainably. The goals of this chapter are threefold. First, I examine how marketing principles apply to a sport and exercise psychology business. Second, I explore the strategies to market practitioners and their services. Finally, I use my private practice as an illustration and model to follow in marketing one’s private practice with face-to-face and online services. One overarching goal in this chapter is to remain focused on the principles and practices to bring your practice to the public whilst establishing and maintaining an accessible and engaging writing style. I intend to keep the tone of this chapter conversational to echo the practical challenges marketing one’s private practice.</p


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