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Surviving carelessness and disposability in British higher education: the gendered and racialised emotional labours of academic migration
Get PDFIn this paper, I examine emotional labour mechanisms for navigating and surviving the policing and disciplining of migrant subjectivities in the internationalised context of British Higher Education. I draw on my pedagogical practices, relationships with staff and students, research and leadership in my trajectory to Professorship in the UK and turn to the affective to expose gendered and racialised othering of migrant academics engaging in transformational and authentic practices of Equality, Diversity and Inclusion (EDI), involving change agency and responsibility praxis against institutional and social injustices. Such practices include the emotional labour of managing the white classroom and doing social justice; speaking out, doing caring leadership and feminist anti-racial solidarity and dealing with exhaustion; and the emotional labour of “excellence” for managing policing of the migrant body. The narratives outlined in this paper illustrate the entanglement of power, emotions and irresponsibility and a complete absence of an ethic of care towards underprivileged groups and trespassing bodies, rendering them disposable in educational institutions where racism is prevalent alongside a non-performative EDI rhetoric. Although practicing a political ethic of care has the potential to challenge neo-liberalised HE and disrupt normative whiteness it can also inadvertently perpetuate the instrumentalisation of feminised and racialised labours of migrant academics for signifying EDI. Moreover, navigating biopower and resisting illegitimisation in Higher Education (HE), might sometimes require alignment with careless gendered labours, including over-commitment, presenteeism and complaining.No funding received to support the work presented in this paper
Technical assessment of green hydrogen production in Kuwait
Get PDFKuwait has the potential to produce green hydrogen from renewable energy. Hydrogen production is receiving increased attention and has become a core research area. In Kuwait, there are various sites of average daily wind speeds exceeding 4 m/s, so they are promising for green electricity production using wind turbines. The wind power can be used to operate water electrolysers to produce hydrogen. This study is conducted to assess the opportunities and feasibility of green hydrogen production using wind power at three sites in Kuwait. The average daily wind speeds, recorded at height 10 m from the ground, were obtained for each site. A wind turbine of rated power 2.4 MW and an electrolyser of capacity 1.8 MW were used for the modelling. The power curve of the turbine was used to evaluate the wind power and the amount of produced hydrogen. The results show that Kuwait Airport site has an estimated annual production of about 300 metric tonnes. For WAFRA site, the estimated annual production was 172 metric tonnes and for ABDALY site was 145 metric tonnes. The annual average specific hydrogen production was highest for ABDALY site (15.52 kg hydrogen/kW turbine power) followed by WAFRA site (15.31 kg/kW) then Kuwait Airport site (13.24 kg/kW).The reported work in this article was partially supported by Project ‘Development of the Bioeconomy Research Center of Excellence’ (BioTEC) No. S-A-UEI-23-14) from the Ministry of Education, Science and Sports of the Republic of Lithuania under the Program ‘University Excellence Initiative’
Factors affecting engagement in screening clinics; exploring the experiences of patients with rare endocrine gene disorders
Get PDFData Availability Statement:
At the time of data collection participants were not asked to consent
for the data to be shared outside of this specific project.Therefore
open access to anonymised transcripts is not possible. For futher
information please contact the corresponding author.Supplemental material for this article is available online at: https://journals.sagepub.com/doi/full/10.1177/23743735251316120#supplementary-materials .The aim was to explore the patient experience of those attending screening appointments for rare endocrine syndromes. Obtaining insights into the factors that potentially enhanced or detracted from attendance and engagement with the clinics could assist in developing strategies to promote patient engagement. A qualitative approach using semi-structured interviews was employed to understand individuals’ perceptions and experience of the screening clinics. Twelve interviews were conducted with patients (age 10-66 years, purposive sampling). Four main themes were identified: (1) Perception at a distance, (2) Seeing my future self (3) The body and person in clinic and (4) The patient or doctor, who knows best? These highlighted several areas which could be used to inform approaches to promote enhanced patient engagement: the importance of careful management of projections of self, balancing information overload and honesty, interpersonal relationships and humanisation of care and assisting with the early navigation for the non-expert individual.The author(s) disclosed receipt of the following financial support for
the research, authorship, and/or publication of this article: Barts’
Charity Strategic Funding Award entitled ‘Better health for people
with rare endocrine disorders: promoting patient engagement in
regular screening.’ (grant number MGU0319)
Capacities to be a Body out of Bounds
No full textI am standing in a crowd.
I am tense.
And I think that if every muscle in my body
wouldn’t protest against unwanted physical contact,
if everyone didn’t try
not to strain their limbs into the bodies of strangers,
if everyone would accept the momentary situation
the tension wouldn’t be so great,
neither my own
nor that of others
Sustainability and resilience-driven prioritisation for restoring critical infrastructure after major disasters and conflict
Get PDFConsidering the extensive destruction of infrastructural systems worldwide during conflicts, human interventions, climate exacerbations and other disasters, there is urgent need for efficient strategies to facilitate well-informed decisions for infrastructure restoration based on integrated resilience and sustainability. Despite extensive destruction and impact of human interventions, reconstruction prioritisation frameworks for such regions remains underexplored, which has predominantly focused on climate-related hazards. We argue that this gap in the literature creates immense challenges for war-torn countries seeking to align their efforts with external donors and global development goals. This paper introduces a novel framework for planning the recovery of bridge portfolios in conflict-affected regions, using a scoring system that incorporates integrated resilience and sustainability metrics. The framework is applied to a case study of ageing bridges in Ukraine, demonstrating its effectiveness in guiding strategic investment allocation for infrastructure recovery that balances proactive and reactive measures in conflict zones.British Academy and Cara under Grant RaR\100770. Roberta Di Bari, Stergios-Aristoteles and Sotirios Argyroudis received funding by the UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee [Ref: EP/Y003586/1, EP/X037665/1]. This is the funding guarantee for the European Union HORIZON-MSCA-2021-SE-01 [grant agreement No: 101086413] Re-Charged - Climate-aware Resilience for Sustainable Critical and interdependent Infrastructure Systems enhanced by emerging Digital Technologies
Healing From Loss and Grief in a Classroom Space: Engagement With Arts
No full textAuthor Note: Student work cited in this chapter was used by permission. The author thanks her former students for their generosity in agreeing to share their work. She also wants to acknowledge the work that all of her students did in this course across multiple years
Phase-Field Modelling of Bimodal Dendritic Solidification During Al Alloy Die Casting
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The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.Tracking the microstructural evolution during high-pressure die casting of Al-Si alloys is challenging due to the rapid solidification, varying thermal conditions, and severe turbulence. The process involves a transition from slower cooling in the shot sleeve to rapid cooling in the die cavity, resulting in a bimodal dendritic microstructure and nucleation of new finer dendrite arms on fragmented externally solidified crystals. In this study, a two-dimensional phase-field model was employed to investigate the solidification behaviour of a hypoeutectic Al-7% Si alloy during high-pressure die casting. The model is based on thermodynamic formulations that account for temperature changes due to phase transformation heat, thermal boundary conditions, and solute diffusion in both liquid and solid phases. To replicate the observed bimodal microstructure, solid–liquid interface properties such as thickness, energy, and mobility were systematically varied to reflect the transition from the shot sleeve to the die cavity. The results demonstrated the model’s ability to capture the growth of dendrites under shot sleeve conditions and nucleation and development of new dendrite arms under the rapid cooling conditions of the die cavity.This research was funded by the EPSRC (EP/V061798/1) through the Materials Made Smarter Research Centre
Effect of Human Images in Advertisements on Consumers’ Experiential Purchase Intentions
No full textSupplemental material is available online at:
https://www.tandfonline.com/doi/suppl/10.1080/00913367.2024.2423158 .This study investigated how the presence of simple human images in advertisements influences consumers’ experiential purchases. Four studies, three of which were preregistered, convergently indicated that advertisements with a human image (vs. those without) increase consumers’ experiential purchase intentions irrespective of the number of humans in the image. This effect is driven sequentially by social interaction needs and the desire for consumption with conversational value. Moreover, social power moderates human images’ effect on consumers’ experiential purchase intentions. Specifically, the impact of a human image on experiential purchase intention attenuates when consumers feel socially powerful. Our findings not only contribute to the literature on experiential purchases, human images, and advertising appeal but also suggest that experiential merchants (e.g., hotels or movie theaters) should add human images to advertisements to effectively promote consumers’ purchase intentions.This work was funded by the China Postdoctoral Science Foundation Grant (2022M722628; 2023M743932), the National Natural Science Foundation of China Grant (72302192; 72402234), the National Social Science Foundation of China Grant (23FYB061), the Sichuan Philosophy and Social Science Planning Project (SCJJ23ND437)
Investigation on dynamic anisotropy of bedded shale under SHPB impact compression
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Data will be made available on request.Revealing the fracture characteristics of shales under impact is significant for the exploitation and utilization of geological energy. In this study, the progressive failure process of bedded shale was tested by the dynamic Split Hopkinson Pressure Bar system and measured by the high-speed camera. Furthermore, their dynamic mechanical properties and fracture features under impact compression were comprehensively investigated. The results show that according to the triggering mechanisms of micro-cracks and mechanical factors governing fracture morphology, the failure patterns of shales can be categorized into five types: splitting failure along bedding plane, slip failure along bedding plane, mixed shear cracks between layers, tensile-shear mixed cracks, and tensile crack along bedding plane. Meanwhile, when the bedding angle θ = 0°, the sample experiences splitting failure, with acoustic emissions concentrated predominantly at horizontal bedding planes. When θ = 30° and 60°, the sample experiences shear failure characterized by shear cracks, mixed shear cracks and multiple composite tensile-shear cracks. When θ = 90°, the sample exhibits tensile and splitting cracks. With increasing strain rate, the fracture pattern of the 60° sample becomes dominated by slip and tensile-shear mixed cracks. With increasing peak stress intensity, the fracture modes of the 30° and 60° samples gradually transition from center-oriented failure towards shear failure along bedding planes. Additionally, for the 90° specimen, as the shock wave intensifies, secondary splitting cracks emerge in matrix, indicative of a fracture pattern across bedding planes.The present work was financially supported by the Beijing Natural Science Foundation, China (Grant No. 2244099), the China Postdoctoral Science Foundation, China (Grant No. 2023TQ0025), the UK Research and Innovation (UKRI), UK (Grant No. EP/Y02754X/1) and the National Natural Science Foundation of China, China (Grant Nos. 42107208, 52304077)
NRBO-AGP: A Novel Feature Selection Approach for Accurate Protein Solubility Prediction
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Data will be made available on request.Protein solubility determines how well a protein dissolves in an aqueous solution, and this property is a critical factor in the functional analysis of proteins and biotechnological applications. Accurately estimating solubility can provide significant advantages in areas such as protein engineering and drug discovery. This study proposes a new feature selection method, Newton-Raphson-based Optimization and Adaptive Gradient Perturbation (NRBO-AGP) for predicting protein solubility. The research combines the accuracy and speed of the Newton-Raphson method with the capacity of population-based optimization techniques to balance exploration and exploitation. Using 3144 protein sequences from the eSOL database, descriptor features were obtained for each protein, resulting in a dataset with 3104 features. The performance of NRBO-AGP was compared with eight different metaheuristic algorithms and evaluated using five regression models: MLP, AdaBoost, Gradient Boosting Trees, Random Forest, and Support Vector Regressor (SVR). The best results were obtained with the Gradient Boosting and Random Forest. Mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (2) metrics were used for performance evaluation. The results show that NRBO-AGP outperforms other metaheuristic algorithms in all regression models. The best results were achieved with Gradient Boosting and Random Forest, reaching MAE:0.0001 ± 0.0000, RMSE: 0.0008 ± 0.0000, and 2: 0.9908 ± 0.0005, and MAE: 0.0002 ± 0.0000, RMSE: 0.0025 ± 0.0000, and 2: 0.9908 ± 0.0005. These findings show that NRBO-AGP is an effective feature selection tool for predicting protein solubility. Multiple statistical analyses based on Friedman and Nemenyi tests show that the NBRO-AGP method exhibits statistically significant superior performance ( < 0.05) compared to other metaheuristic algorithms in MAE and RMSE metrics and also achieves the highest performance in the 2 score
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