University of Bedfordshire Repository: Recent submissions
Now showing items 41-60 of 7982
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Steps toward an integrated soil water tension and osmotic tension sensorThe two most important abiotic plant stressors that impact plant development and crop yields are water stress and salinity stress. These issues are particularly important in arid and semi-arid regions. According to a 2019 research paper, “thirty crop species provide 90% of our food, most of which display severe yield losses under moderate salinity.” Moderate salinity is defined as extracted pore-water salinity in the range of 4–8 dS m−1. Currently, commercially available soil moisture and bulk soil electrical conductivity sensors can estimate in situ soil pore-water electrical conductivity with suitably calibrated soil moisture and electrical conductivity models for a wide range of soil types and growing media. With knowledge of the pore-water electrical conductivity it is possible to estimate osmotic tension. Furthermore, there are commercially available dielectric tensiometers that provide soil water tension measurements from the water content of a porous matrix component that is in equilibrium with the wat
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Educating the autonomous learner in a Confucian school: subjectivity, memorisation and dilemmaThe current literature on Chinese governmentality and subjectivity lacks rigorous discussion of the involvement of Confucian education. This article applies Foucauldian conceptual tools to explore this scholarship gap empirically. Based on ethnographic fieldwork at a Confucian school, we explore how Confucian pedagogical techniques are used to create a type of subject. This article first presents pedagogical reform in a Confucian school. The resultant pedagogy of individualised memorisation combines two paradoxical knowledge sources: the individualised teaching principle and the method of repetitive memorisation. We then demonstrate how the Confucian teaching techniques used in the classroom result in contradictory processes of subject-making. Students are governed by the technologies of power in the disciplined classroom but are also encouraged to be the "master" of their own study according to the technologies of the self, so as to become autonomous learners. The revived Confucian education is encountering
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Conspicuous morality and hidden religiosity of the Confucian education revival in contemporary ChinaThe contemporary revival of Confucian education offers a chance to rethink moral and religious education diversity in China. Moral dynamics are presented as the conspicuous and dominant force driving the expansion of Confucian education. Confucian activists’ moral anxiety about state education and society and desire for the moral upliftment of their offspring motivate them to embrace the Confucian pedagogy of memorization and act to engage their children in the extensive recitation of the classics. However, Confucianism has always held a religious nature, and religious organizations (especially Buddhism and Yiguandao) have played a hidden role in promoting Confucian education. This chapter concludes with the argument that Confucian education manifests itself as an intertwining of conspicuous morality and hidden religiosity in its contemporary revival.
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An investigation into the impact of soil particle conductivity and percolation threshold on the Hilhorst model to estimate pore water conductivity in soilsThe aim of this work has been to assess the Hilhorst model, used for estimating in-soil pore water conductivity, against soil properties of percolation threshold and soil particle conductivity. The Hilhorst model has the benefit of requiring a single soil-specific parameter which makes this model easy to apply from soil permittivity and bulk conductivity measurements. However, the Hilhorst model requires that the bulk conductivity measurement is dominated by pore water conductivity, which is not always the case in many ‘‘real-world’’ settings. This work examines a mathematical framework derived from combining the Hilhorst and Ewing and Hunt models which allows the Hilhorst soil parameter to be derived for a range of soil particle conductivities (0 to 10 mS m−1) and percolation thresholds (0 to 0.1 m3 m−3). The analysis in this work indicates that the Hilhorst parameter is highly sensitive to both soil properties with respect to the default value of 4.1 that is often employed. This assessment indicates that: (
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A graphical derivation and statistical evaluation of simplified polynomials to determine vapour pressure deficit for use in ultra-low power microcontroller applicationsThe aim of this work has been to derive and statistically evaluate the accuracy of second-order and third-order polynomials to determine vapour pressure deficit (VPD). These polynomials take air temperature and relative humidity measurements to determine VPD without the use of an exponential function, as proposed by F W Murray in 1967. Replacing the exponential function with a 2nd or 3rd order polynomial may be beneficial in ultra-low power microcontroller-based measurement applications where; code size, memory usage and power requirements are critical design drivers. However, oversimplification may impact precision. This work presents alternative 2nd order and 3rd order equations that have been derived from a Murray equation dataset where VPD isothermal datasets were plotted against relative humidity. These linear relationships allow y = mx + c analysis where, (i) 'c' can be set to zero with a offset in the relative humidity data, and, (ii) 'm' can be derived from a 2nd or 3rd order polynomial where 'm' = f(
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Left to their own devices: exploring interactional practices in an online group speaking taskWhile Interactional Competence (IC) has been a facet of models of competence for as long as communicative competence has existed (Hymes, 1974), a psycholinguistic approach (Van Moere, 2012) has tended to dominate speaking testing, particularly online speaking test delivery (Roever & Dai, 2021). The psycholinguistic approach views speaking abilities as residing within the individual. Online tests are often monological and poorly reflect interactional abilities (Roever & Ikeda, 2021). In contrast, a sociolinguistic-interactional view emphasises speaking as a contextualised, social act. This perspective “relocates speaking abilities in the interaction between people” (Van Compernolle, 2021, p. 193). This emphasis on interaction creates a problem however: how to measure individual contributions to a shared action (McNamara, 1997). This dilemma is seen in the rather abstract, detached nature of assessment criteria which could be enhanced via detailed Conversation Analytic (CA) interactional insights (Kley et al., 2021; Youn, 2023), specifically how orderliness pervades talk (Pekarek Doehler, 2021a, 2021b, 2018; Hall, 2023, 2018; Thompson & Couper-Kuhlen, 2005). This mixed-methods study aimed to investigate interactional practices used in an online, triadic, scenario-based task involving 56 candidates of varying language proficiency (below-B2, B2, and C1). Expert raters assessed candidates, and their ratings were analysed using Many-facet Rasch Measurement (MFRM) to account for rater tendencies. Qualitative analysis produced a glossary of 12 turn-taking and 10 repair practices, based on established CA studies (Wong & Waring, 2021). CA-derived coding, Mann Whitney mean comparisons, and Spearman Rho correlations were used to explore the relationship between interactional practices and proficiency level. The findings show quantitative differences in certain practices between proficiency levels (e.g., preliminary moves as a B2 and C1 differentiator), alongside general qualitative differences in how these practices were used across proficiency levels. The findings raise interesting questions as to how technology can be better leveraged to assess IC in future and how we might gain a better level of granularity in assessing the “observable artefact” (Waring, 2018) of IC. Several suggestions are made regarding future exploration of test discourse using a CA-derived coding approach to provide constructive engagement with scale development, rater training, task design and empirical elaboration of the CEFR for online interaction.
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Linking digital technology, omics and education to facilitate global equityThere are many challenges, not least health inequities, global warming, and a rush for growth and economic development. Personalized, precision, and preventative medicine, bringing the latest omics techniques—genomics, transcriptomics, and metabolomics—for individuals allied to personalized prescription and care should help health equity. Digital technologies and artificial intelligence (AI) can help in an understanding of disease processes and in drug development. A holistic approach to the relationship between technology and the environment and clarity about both the positive benefits and negative harms resulting from using digital tools is necessary. We need to focus on the complete human-environmental interface and not just on climate change and carbon. It will be a measure of collaborative civilization if digital technology, omics techniques, and education can be used to promote global equity. Education linking diversities and performance throughout the world will be crucial.
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Editorial: Comparative and evolutionary analyses of organelle genomesThis Research Topic focuses on studies of organelle genomes, which has been a highly active area of research during the last years. Our focus on organelle genomes fulfills their potential to perform full-scale comparisons for non-model species. This is because they are typically smaller than nuclear genomes, and modern sequencing techniques and bioinformatic approaches often allow researchers to reliably assemble and annotate them. Dozens of approaches have been published describing ways to perform assemblies and annotations of chloroplast and mitochondrial genomes, and how to create alignments for phylogenetic analyses. Comparisons of chloroplast genomes are especially important for lineages of plants with unusual lifestyles, such as parasitic plants.
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Differences in team sport players’ repeated sprint performance, physiology and biomechanics between temperate and hot environmentsRepeated sprinting is defined as a minimum of three sprints with a mean recovery duration interspersed by less than or equal to 60 s of recovery time (Taylor et al., 2015; Sirotic and Coutts, 2007). These occur frequently in team sports, which are played around the world, often in hot environments (Girard, Brocherie and Bishop, 2015). At present, there is an abundance of research exploring the physiological strain of repeated sprinting in the heat (e.g. Almudehki et al., 2012; Drust et al., 2005; Kilduff et al., 2013), but data on the biomechanical alterations is limited (Girard et al., 2017). Therefore, the aim of the present study was to investigate the effect of heat on team sports players’ physical performance, physiological strain and biomechanical variables during repeated sprint performance when compared to a temperate environment. Six male recreational team sports players completed four trials; one V̇O2MAX test, one familiarisation and two randomised, counterbalanced experimental trials of the repeated sprint protocol (CON: 20C 50% rH and HOT: 35C 50% rH). For the experimental trials, participants completed a warm-up, followed by the repeated sprint protocol on a non-motorised force plate instrumented treadmill, which consisted of four blocks of six 6 s sprints, with 30 s recovery between each sprint and five-minute recovery between each block. Rectal temperature, heart rate, RPE, thermal comfort and thermal sensation were all taken and the beginning and end of each block and spatiotemporal characteristics (Optojump) and angular kinematics (Quintic 2D motion analysis) were recorded for every sprint. All physical performance variables were significantly lower (P < 0.05) in HOT compared with CON. Rectal temperature, skin temperature, sweat loss, TC and TS were all significantly higher (P < 0.05) in HOT compared with CON. Average step length and peak propulsive horizontal force were significantly lower (P < 0.05) in HOT, whilst peak plantar flexion and hip and ankle range of motion were significantly larger (P < 0.05) in HOT compared with CON. Peak hip flexion, peak plantar flexion angular velocity, peak hip flexion angular velocity, peak knee flexion angular velocity and peak dorsi flexion angular velocity were all significantly higher (P < 0.05) in CON compared with HOT. Considering the performance decrements found in the hot condition, practitioners should be aware of the biomechanical causes of these, particularly as a decreased step length reduces the propulsive horizontal forces. The shorter steps lengths observed in the heat can be explained by the lower force production of the muscles, with heat decreasing the number of muscle fibre units recruited, creating less propulsive force. Therefore, strategies need to be developed to maintain step length in the heat or be able to increase step frequency to compensate for the decrements in step length to maintain running velocity. Further research is required to support the understanding of the underpinning cause for the change in step length in the heat.
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Political uncertainty in public-private partnership projects (PPPs): a flexible risk mitigation framework for Jordan's challenging landscapeAim and scope: this study provides an in-depth understanding of risks associated with the politically unstable region within the specific context of Jordan. By exploring the risk factors associated with the politically unstable region, this study aims to establish a flexible risk mitigation framework to help the PPP partners mitigate the impact of these risks. The previous literature discusses risks related to PPP projects primarily from two internal dimensions: risks arising from poor practices of PPP workers and risks arising from government actions, policies, and instability. Contrarily, the present study spotlights risks generated by the politically unstable region; it explores and identifies risks associated with the PPP projects from a managerial-political dimension and presents a flexible framework to mitigate these risks. Methodology: this study follows the qualitative methodology. The study is influenced by the ontological philosophy of constructivism and the interpretivist epistemological approach. The semi-structured interview mechanism is adapted for primary data collection, which is supported by multiple sources of secondary data. The interviews targeted Twenty-Three senior managers of project partners (public and private partners) in two case studies in Jordan. The thematic analysis method used in this study allows the interpretation of interviewees’ perceptions. The flexibility of this method suits the abductive approach of data analysis adopted in this study. Findings: The findings revealed significant knowledge gaps concerning the risks of the politically unstable region associated with the Jordanian unique context. The flexible framework of the current study identified several risk factors that affect PPPs in Jordan caused by the unstable politics in the region; these risks matched with practical risk mitigation strategies that increase PPP partners’ flexibility in mitigating the influence of the identified risks. The findings revealed the reserve account technique applied to mitigate the risk of delay in paying the private partner dues. Notably, the limited role of the public partner in managing and mitigating the consequences of the politically unstable region risks is also revealed. Limitations: risks of the politically unstable region associated with the PPP projects in the Jordanian context can evolve over time and differ in other contexts. This study, conducted at a specific time (operation phase), might not capture the full spectrum of risks that could emerge during the PPP projects’ lifecycle.
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An unsupervised approach for the detection of zero‐day distributed denial of service attacks in Internet of Things networksThe authors introduce an unsupervised Intrusion Detection System designed to detect zero-day distributed denial of service (DDoS) attacks in Internet of Things (IoT) networks. This system can identify anomalies without needing prior knowledge or training on attack information. Zero-day attacks exploit previously unknown vulnerabilities, making them hard to detect with traditional deep learning and machine learning systems that require pre-labelled data. Labelling data is also a time-consuming task for security experts. Therefore, unsupervised methods are necessary to detect these new threats. The authors focus on DDoS attacks, which have recently caused significant financial and service disruptions for many organisations. As IoT networks grow, these attacks become more sophisticated and harmful. The proposed approach detects zero-day DDoS attacks by using random projection to reduce data dimensionality and an ensemble model combining K-means, Gaussian mixture model, and one-class SVM with a hard voting techni
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Exploring the impact of business analytics on strategic decision-making in uncertain environmentsBusiness analytics presents significant opportunities for enhancing strategic decision-making (SDM), yet a significant knowledge gap exists in our understanding of the interplay among environmental dynamism, business analytics use, environmental scanning, and rational and intuitive SDM. This paper aims to address this gap by leveraging the information processing view. Analyzing 218 survey responses using partial least squares (PLS) path modeling, the study underscores the influence of environmental dynamism on both business analytics use and environmental scanning. Furthermore, it reveals that while business analytics positively influences rational SDM, it exerts a negative effect on intuitive SDM. Additionally, environmental scanning partially mediates the link between business analytics use and rational SDM. Moreover, rational SDM exhibits a negative correlation with intuitive SDM. This study contributes to the literature by introducing a novel theoretical framework, enriching the information processing vie
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The mediocrity of AIPurpose: This paper aims to challenge the fashion of ubiquitous artificial intelligence (AI) and the effects which it will have upon society. In doing so it argues that the effects of AI will be minimal but important. Design/methodology/approach: This argument is based upon the Socratic method and explores the Utilitarian background in which AI is based while drawing upon classical literature and other examples to illustrate the argument. Findings: The findings are encompassed in the argument and show that we need to be more open and careful when considering AI and its effects. We also need to be more realistic when considering potential benefits. Practical implications: This argument has significant implications for the adoption of AI. Social implications: The social implications are equally profound and will impact upon our application of AI solutions to current problems and upon humanity more generally. Originality/value: This is the first paper which relates AI to human successes.
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Introduction to thermal energy storage: solar, geothermal and hydrogen energyThis chapter explores the critical role of thermal energy storage in the context of solar, geothermal, and hydrogen energy. It emphasizes the imperative of sustainable development and environmental preservation by harnessing renewable resources. Renewable energy sources, including solar, geothermal, and hydrogen energy, are investigated for their potential to reduce greenhouse gas emissions, bolster energy security, and stimulate economic growth. This chapter underscores the substantial growth observed in renewable energy utilization, particularly in 2020, signifying a global shift toward cleaner energy alternatives. Technological advancements in energy capture and storage, together with the increasing global adoption of Net Zero strategies, have significantly expanded renewable and green energy production. These advances span from small-scale solar panel installations to vast offshore wind farms, innovative geothermal applications, and electricity generation through hydrogen.
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Career motivation of 1st year nursing and midwifery students: a cross-sectional studyAim/objective: This paper presents findings from a cross-sectional study into the motivational factors of students who chose nursing and midwifery as a career. Background: 189 students from the University of Bedfordshire (UoB) and 223 students from Canterbury Christ Church University (CCCU) completed a questionnaire at the start of their studies in 2018. The findings were generated from the first stage of the Placement, Impact, Experience and Destination (PIED) study into student belongingness on placement and the influence of practice on the first career destination of newly qualified nurses and midwives. Design: An in-class questionnaire was administered to 1st year pre-registration adult, child and mental health nursing and midwifery students to identify the intrinsic and extrinsic factors that influenced their motivation to choose nursing or midwifery as a career. Methods: A mix methods study design was adopted for the PIED study where participants completed a survey that collected quantitative and qualit
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Which MPs get elevated to the House of Lords?Using logistic regression and a dataset of 816 MPs who sat in the UK House of Commons between 1997 and 2019, we analyse which MPs get elevated to the upper chamber. Drawing on literatures concerning progressive political ambition, the UK Parliament and the wider nature of the British state, we test hypotheses concerning loyalty, expertise and nepotism. We find evidence to support all three but expertise in the form of frontbench experience and, for those MPs without such experience, loyalty appear to be the most important factors driving elevation. Our research has implications for debates surrounding House of Lords reform.
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Factors that affect the implementation of an integrated care programme for older people with different frailty levels: a qualitative study of commissioners and provider stakeholdersThe NHS has made it mandatory for General Practices in England to proactively identify and manage older people with moderate and severe frailty since the GMS contract of 2017/2018. In Luton, stakeholders developed the Luton Framework of Frailty (LFF) to implement this national policy. The aim of this study was to explore the factors that affect the implementation of this national policy at a local level. In-depth interviews were conducted with 18 commissioners and service providers, all of whom were involved in providing services for older people with different frailty levels (OPDFL). Purposive and snowball sampling methods were used, with thematic analysis used for data analysis. Two main themes with several sub-themes were found. The first theme was the tension within existing national policy initiatives to provide integrated care services for OPDFL, which illuminated their strengths and limitations. Participants felt that new initiatives, such as the development of Primary Care Networks and Enhanced Health
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Acceptability of a remotely delivered sedentary behaviour intervention to improve sarcopenia and maintain independent living in older adults with frailty: a mixed-methods studySarcopenia is a leading cause of functional decline, loss of independence, premature mortality, and frailty in older adults. Reducing and breaking up sedentary behaviour is associated with positive sarcopenia and frailty outcomes. This study aimed to explore the acceptability, engagement and experiences of a remotely delivered sedentary behaviour intervention to improve sarcopenia and independent living in older adults with frailty. This was a mixed-methods study. In-depth qualitative semi-structed interviews were conducted with a subset (N = 15) of participants with frailty (aged 74 ± 6 years) who had participated in the Frail-LESS (LEss Sitting and Sarcopenia in Frail older adults) intervention aimed at reducing sedentary behaviour. The interviews explored acceptability of the intervention overall and its individual components (a psychoeducation workbook, wrist-worn activity tracker, health coaching, online peer support and tailored feedback on sitting, standing and stepping). Process evaluation questionnai
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Ultrasonic metrics for large-area rapid wrinkle detection and classification in compositesDue to their high strength-to-weight ratio, composite materials are now in use in many high-stress applications, particularly where light weight is also a requirement. In these situations, the detrimental knock-down in mechanical strength due to an out-of-plane wrinkle defect can have serious consequences and is the reason for a requirement to rapidly detect any such wrinkles at manufacture. Unfortunately, current ultrasonic inspection techniques used for quality control at manufacture are not sensitive enough to detect these wrinkles above coherent structural noise variations. This paper exploits the ply resonance that is a characteristic of multi-layer structures to generate two new metrics for both detection and classification of out-of-plane wrinkles, due to their perturbations of the ply spacing. These can be measured at every location on a structure using the instantaneous frequency, which is the rate of change of phase in the pulse-echo ultrasonic response. The proposed two new metrics for detection an