Brunel University Research Archive

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    30793 research outputs found

    How does entrepreneurship education affect employability? Insights from UK higher education

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    Purpose: The purpose of this study is to examine the underexplored link between entrepreneurship education (EE) and graduate employability in the higher education (HE) sector in the United Kingdom (UK). Design/methodology/approach: The study draws on a thematic content analysis of semi-structured interviews with 45 professionals in UK HE, representing the “supply” side of EE. Findings: The findings demonstrate a unidirectional link between EE and employability outcomes. This link is affected by societal, stakeholder-related, and teaching and learning-related factors. Research limitations/implications: Although the value of universities’ initiatives connecting EE and employability for economic development is emphasized, the study does not provide direct empirical evidence for this effect. Macroeconomic research is needed. Practical implications: EE and employability would benefit from knowledge exchange between universities’ stakeholders and a broader understanding of what constitutes a valuable graduate outcome. Social implications: The study reveals the benefits of EE on a micro level. Participation in EE supports the connection between individual investments in HE and employability. Originality/value: Based on human capital theory, many policymakers regard EE as a vehicle through which the relationship between investments in HE and career success on a micro level and economic growth on a macro level can be nurtured. Challenging this logic, the study highlights the potential of institutional theory to explain a contextualization of the link between EE and employability on a national level.Seedcorn funding from The Open University’s Scholarship Centre for Innovation in Online Legal and Business Education (SCiLAB)

    Defect Detection Algorithm for Battery Cell Casings Based on Dual-Coordinate Attention and Small Object Loss Feedback

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    Data Availability Statement: Data are contained within the article.Acknowledgements: The authors are grateful for the facilities and other support part by Shanghai Betterway for Automation Company.To address the issue of low accuracy in detecting defects of battery cell casings with low space ratio and small object characteristics, the low space ratio feature and small object feature are studied, and an object detection algorithm based on dual-coordinate attention and small object loss feedback is proposed. Firstly, the EfficientNet-B1 backbone network is employed for feature extraction. Secondly, a dual-coordinate attention module is introduced to preserve more positional information through dual branches and embed the positional information into channel attention for precise localization of the low space ratio features. Finally, a small object loss feedback module is incorporated after the bidirectional feature pyramid network (BiFPN) for feature fusion, balancing the contribution of small object loss to the overall loss. Experimental comparisons on a battery cell casing dataset demonstrate that the proposed algorithm outperforms the EfficientDet-D1 object detection algorithm, with an average precision improvement of 4.23%. Specifically, for scratches with low space ratio features, the improvement is 13.21%; for wrinkles with low space ratio features, the improvement is 9.35%; and for holes with small object features, the improvement is 3.81%. Moreover, the detection time of 47.6 ms meets the requirements of practical production.This research received no external funding

    Governance dynamics and the human capital disclosure-engagement paradox: a Japanese perspective

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    Purpose: This paper aims to delve into the nuanced relationship between corporate governance dynamics, human capital disclosure and their impact on the competitive positioning of Japanese listed companies. The study primarily examines how these factors influence employee engagement, a critical determinant of overall business competitiveness. Design/methodology/approach: Panel data for Japanese listed companies for FY 2019 to FY 2021 were analysed using multiple regression analyses with two models. Findings: The results indicate that the presence of independent and female board members has a positive impact on human capital disclosure. Surprisingly, employee engagement was found to be negatively related with human capital disclosure, signifying a potential trade-off between transparency and engagement. Originality/value: Amidst the escalating emphasis on non-financial information and corporate social responsibility, this paper unveils a previously underexplored aspect of Japanese corporate competitiveness. Specifically, this study offers a fresh empirical perspective on the relationship between corporate governance, human capital disclosure and employee engagement in Japanese listed companies, a topic with limited academic research and no legal regulations in Japan. The findings have significant implications for companies seeking to enhance their human capital disclosure and employee engagement practices, especially in light of the growing focus on non-financial information and social responsibility

    The Kardashians: citizens of surplus

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    This article engages with the manufacture/purchase of feminine beauty, especially via cosmetic surgery, U.S. citizenship, and prosperity Christianity. It aligns the Kardashians’ form of capitalist beauty with their Christian rhetoric in context of their uptake of ‘surplus citizenship’. I argue that prosperity Christianity together with certain aesthetic body modifications reveal a contemporary version of U.S. citizenship that speaks of entrepreneurial self-enhancement, national belonging, and affluence. I show that this ‘new’ type of citizenship is rooted in deeply racialised practices and processes. A case study – the rise and fall of the so-called ‘Brazilian butt lift’ (BBL) – is offered in order to demonstrate these ideas

    Observation of WWγγ production and search for Hγγ production in proton-proton collisions at s\sqrt{s} = 13 TeV

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    A preprint of this article is available at arXiv:2310.05164v2 [hep-ex], https://arxiv.org/abs/2310.05164v2 . Comments: Replaced with the published version. Added the journal reference and the DOI. All the figures and tables can be found at https://cms-results.web.cern.ch/cms-results/public-results/publications/SMP-22-006 (CMS Public Pages)The observation of WWγ production in proton-proton collisions at a center-of-mass energy of 13 TeV with an integrated luminosity of 138 fb−1 is presented. The observed (expected) significance is 5.6 (5.1) standard deviations. Events are selected by requiring exactly two leptons (one electron and one muon) of opposite charge, moderate missing transverse momentum, and a photon. The measured fiducial cross section for WWγ is 5.9±0.8(stat)±0.8(syst)±0.7(modeling) fb, in agreement with the next-to-leading order quantum chromodynamics prediction. The analysis is extended with a search for the associated production of the Higgs boson and a photon, which is generated by a coupling of the Higgs boson to light quarks. The result is used to constrain the Higgs boson couplings to light quarks.SCOAP3

    Ethical aspects of technologies of surveillance in mental health inpatient settings – Enabling or undermining the therapeutic nurse/patient relationship?

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    ...The Editorial explores ethical aspects of utilising surveillance technologies in mental health care contexts: Might such technologies enable or diminish the effectiveness of the therapeutic relationship? How might their adoption impact trust, trustworthiness, respect and respectfulness in mental health nursing practice

    Museums for Older Adults and Mobility-Impaired People: Applying Inclusive Design Principles and Digital Storytelling Guidelines—A Review

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    The research problems addressed in this article pertain to the limited understanding and insufficient availability of digital storytelling guidelines for elderly and physically impaired individuals in museum presentations. The objective of this review is to explore digital storytelling guidelines along with the latest technology in museums catering to older adults and those with mobility impairments. This literature review included databases such as Scopus, ScienceDirect, and Google Scholar, covering the period from 2000 to 2023. Researchers comprehensively examined and employed content analysis to categorize all papers into three primary themes: (1) inclusive design for museum presentations; (2) trends in technology for digital storytelling in museum presentations; (3) guidelines for digital storytelling in museum presentations. This review article could enhance understanding and promote diversity, accessibility, and motivation among two specific groups of museum visitors, both onsite and online.This research was funded by the School of Architecture, Art, and Design, King Mongkut’s Institute of Technology Ladkrabang (KMITL), grant number 2567-02-02-009

    Model for Determining the Psycho-Emotional State of a Person Based on Multimodal Data Analysis

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    Data Availability Statement: The data supporting this study’s findings are openly available in https://doi.org/10.6084/m9.figshare.23596362.v1 (accessed on 1 September 2022). Datasets are used for different models’ performance evaluation, namely: FER: fer2013: https://www.kaggle.com/deadskull7/fer2013 (accessed on 1 September 2022) and CK + 48 five emotions: https://www.kaggle.com/gauravsharma99/ck48-5-emotions (accessed on 1 September 2022); SER: RAVDESS Emotional speech audio: https://www.kaggle.com/uwrfkaggler/ravdess-emotional-speech-audio (accessed on 1 September 2022); TER: Text-Emotion-detection: https://www.kaggle.com/dataset/f10c38f8f356a43b344ca82476b6b32b5d31b99af19276ba1f7846004c0851f2 (accessed on 1 September 2022); Datasets from the Internet inside the project: https://drive.google.com/drive/folders/1ZV3ceCjNND7xcUxbsJb57aitTpUbcYa9?usp=sharing (accessed on 1 September 2022); Videos for tests from YouTube: (1) Biden Delivers Remarks On Inflation_NBC News—https://www.youtube.com/watch?v=ckCOF719atE (accessed on 1 September 2022); (2) Boris Johnson_Ukraine will win war and ‘be free’—https://www.youtube.com/watch?v=WPM8Pvgkz7Y (accessed on 1 September 2022); (3) Father’s final words to his dying son!—https://www.youtube.com/watch?v=C3hABRHmQoo (accessed on 1 September 2022); (4) Minecraft Warden Update is a NIGHTMARE!—https://www.youtube.com/watch?v=2osdz9Z5JKY (accessed on 1 September 2022). Video for Live Test: https://drive.google.com/drive/folders/1wAR2CdlGIEtOSjKv7T9e-gQhBHIAiLLM?usp=sharing (accessed on 1 September 2022).The paper aims to develop an information system for human emotion recognition in streaming data obtained from a PC or smartphone camera, using different methods of modality merging (image, sound and text). The objects of research are the facial expressions, the emotional color of the tone of a conversation and the text transmitted by a person. The paper proposes different neural network structures for emotion recognition based on unimodal flows and models for the margin of the multimodal data. The analysis determined that the best classification accuracy is obtained for systems with data fusion after processing each channel separately and obtaining individual characteristics. The final analysis of the model based on data from a camera and microphone or recording or broadcast of the screen, which were received in the “live” mode, gave a clear understanding that the quality of the obtained results is highly dependent on the quality of the data preparation and labeling. This is directly related to the fact that the data on which the neural network is trained is highly qualified. The neural network with combined data on the penultimate layer allows a psycho-emotional state recognition accuracy of 0.90 to be obtained. The spatial distribution of emotion analysis was also analyzed for each data modality. The model with late fusion of multimodal data demonstrated the best recognition accuracy.The National Research Foundation of Ukraine funded this research under project number 2021.01/0103 and British academy fellowship number RaR\100727

    The Exercise Intensity–Music-Tempo Preference Relationship: A Decennial Revisit

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    Data availability: Data will be made available on request.Tempo is a key determinant of the motivational effects of music during exercise and has been the focus of numerous empirical studies (e.g., Karageorghis & Jones, 2014). The present study sought to address the limitations of previous related work and revisit the relationship between exercise intensity and music-tempo preference using unfamiliar, non-lyrical music (to isolate the tempo manipulation). A within-within experimental design was employed to test hypotheses pertaining to the non-linear relationship and associated psychological outcomes (e.g., core affect and state attention). Twenty-four participants (Mage = 20.6 years, SD = .92 years) exercised at five intensities (10% of peak VO2 below ventilatory threshold [VT]; 5% of peak VO2 below VT, at VT, midway between VT and the respiratory compensation point [RCP], and at RCP) during which they were administered music tracks at four tempi (90 bpm, 110 bpm, 130 bpm and 150 bpm) and a no-music control. A music liking item, measures of core affect (valence and arousal), attentional focus and perceived exertion were recorded during the exercise bouts. Results indicated that unlike previous findings with familiar, lyrical music, there was no discernible relationship between exercise intensity and preference for music tempo. The most positive psychological outcomes were associated with fast-tempo music. In accord with previous findings, slow-tempo music attracted low liking scores and the least desirable psychological outcomes at every exercise intensity. The present findings have implications for the use of unfamiliar, non-lyrical music during exercise. Specifically, that such music should be ∼10 bpm faster than familiar, lyrical music

    On Sc Addition in A206 Alloy: The Formation of W-AlCuSc Phase and Its Strength-Weakening Effect in Sand Castings

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    Supplementary Information is available online at: https://link.springer.com/article/10.1007/s11663-024-03046-w#Sec17 .Scandium (Sc) is attracting attention in aerospace and special-vehicle industries due to its potential benefits, but research on the effect of Sc addition on the phase formation and mechanical properties of Al-Cu casting alloys (i.e., 2xx.x series) have been conflicting. To explore the potential of Sc in the Al casting industry, Al-Cu-based A206 alloys with different Sc contents were used to cast cylinder heads of special vehicles in an industrial sand casting environment. The results showed that Sc addition promoted the formation of W-AlCuSc rods precipitates within α-Al grains and the large W-AlCuSc intermetallic particles at α-Al grain boundary by redistributing Cu atoms from the α-Al grain interior to the boundary. The formation of the W-AlCuSc phase and the redistribution of Cu atoms reduced the yield strength of both as-cast and T6-state A206 alloys. Solidification calculations indicate that W-AlCuSc phase evolves from primary Al3Sc phase or from supersaturated α-Al phase. It has also been experimentally verified that the formation of the W-AlCuSc phase is dependent on the cooling rate and can be suppressed by increasing the cooling rate. These findings provide a reference for the efficient utilization of Sc in casting industries.The authors acknowledge funding from Zhejiang Province Leading Innovation and Entrepreneurship Team - Automotive Light Alloy Innovation Team (2022R01018) and Chongqing Natural Science Foundation Innovation and Development Joint Fund (Grant No. CSTB2023NSCQ-LZX0128)

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