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Echoes of empire
Get PDFExhibition & Guest Speaker at Marine Studios (Margate, Kent)
Curated and hosted by Kent-based Phoetrystra (Photo Poet) Michi Masumi.
The evening will be an exploration of how art and poetry capture and critique the British Empire’s influence and legacy. During the evening Michi will read poetry showcasing diverse voices and experiences; present an overview of the British Empire and its global impact, its rise and fall and its lingering effects in contemporary times; and host an open-floor Q&A.
AI artwork was printed as showcased at the event, with an open discussion, and short videos from existing knowledge sourced on Youtube
Review on engineering of bone scaffolds using conventional and additive manufacturing technologies
Get PDFBone is a complex connective tissue that serves as mechanical and structural support for the human body. Bones' fractures are common, and the healing process is physiologically complex and involves both mechanical and biological aspects. Tissue engineering of bone scaffolds holds great promise for the future treatment of bone injuries. However, conventional technologies to prepare bone scaffolds cannot provide the required properties of human bones. Over the past decade, three-dimensional (3D) printing or additive manufacturing technologies have enabled control over the creation of bone scaffolds with personalized geometries, appropriate materials, and tailored pores. This article aims to review recent advances in the fabrication of bone scaffolds for bone repair and regeneration. A detailed review of bone fracture repair and an in-depth discussion on conventional manufacturing and 3D printing techniques are introduced with an emphasis on novel studies concepts, potentials, and limitations. [Abstract copyright: Copyright 2023, Mary Ann Liebert, Inc., publishers.
SocMedHE: More than a conference
No full textUsing SocMedHE as a case study, in this paper we provide some examples of extracting and analysing information from tweets and we introduce some example tools for doing this. We also use these tools in order to explore some different ways in which we can play with this type of data. This paper is an extension of a conference presentation to SocMedHE21 (Turner 2021a)
An EDI engineering employability toolkit to aid engineering student progression
No full textSociety 5.0, an initiative that aims to reduce inequalities, however disparities in engineering employment for ethnic minorities, females, LGBTQ+, and low socioeconomic engineering students persist (McWhinnie and Peters, 2012; Mellors-Bourne, 2016; Nortcliffe et al., 2019; Engineering UK, 2019; Parutis et al., 2020). AI-driven recruitment systems, discussed by Njoto et al. (2022) and Dastin (2022), encode minority and gender bias, aggravating the issue and leading to the loss of female and global majority (BAME (Black and Asian Minority Ethnic) engineering talent to graduate roles outside the sector (Engineering UK, 2019).
Canterbury Christ Church University has responded to this challenge by establishing a new Equality, Diversity, and Inclusive (EDI) engineering, design, and technology education provision. This initiative aims to create an EDI 'industry-ready' talent pipeline, addressing regional skills gaps (Kent County Council, 2022; Southeast Local Enterprise Partnership, 2021). Additionally, this initiative supports regional economic growth, as diverse teams have been shown to achieve (Martins, 2020). Consequently, there is a pressing need for an Equality, Diversity, and Inclusive (EDI) engineering employability learning toolkit. This toolkit seeks to enhance the social capital and employability of female, global majority, and low socioeconomic students in engineering, enabling all students to secure meaningful engineering employment and educating the next generation of engineering recruiters. The toolkit builds upon previous research and development of the Canterbury Christ Church University Future 360 Framework (Employment toolkit), incorporating the Graduate Capital Model (Tomlinson, 2017), the internship framework (Shawcross and Ridgman, 2014), and principles of social capital learning (Brown et al., 2014).
Quantitative results from the initial project, involving 100 employers, highlighted that the majority of business enterprises (small, medium, and large) employing engineers and computing graduates have an EDI policy in place and are working in practice (Fanusie et al, 2024). However, these employers expressed as part of continuous improvements process more EDI training. They also observed that students/graduates need further development in understanding EDI in the workplace (Fanusie et al, 2024). The initial qualitative project research results with students have underscored the need to improve enterprise communication between junior and senior staff. Therefore, there is a necessity to develop allyship and reverse mentoring within organizations (Fanusie et al, 2023). As a response, the project has identified a potential tool for the toolkit—a computer game. This game aims to develop students' EDI understanding in the workplace and enhance their allyship skills as future-generation engineering managers. Moreover, the tool could support the development of junior and senior staff understanding of EDI and allyship in the workplace.
Drawing on the educational potential of video games, as demonstrated by Wulansari et al. (2020), and considering the preliminary positive results from Vilches et al.'s (2023) research into the use of computer games to develop empathy towards individuals with disabilities, a computer game has the potential to be a valuable addition to the EDI Employability toolkit. This paper will present the initial results of the development of the computer game tool and the reflections of engineering students on its efficacy
The wall
No full textA botanical horror short story, published in Litro Magazine online.
In this story of magical realism, Hill struggles to dismantle a wall full of history and darkness until she finds it is herself that has become undone
Estimating the prevalence and predictors of musculoskeletal disorders in Tanzania: a cross-sectional pilot study
Get PDFIntroduction
Musculoskeletal (MSK) disorders account for approximately 20% of all years lived with disability worldwide however studies of MSK disorders in Africa are scarce. This pilot study aimed to estimate the community-based prevalence of MSK disorders, identify predictors, and assess the associated disability in a Tanzanian population.
Methods
A cross-sectional study was conducted in one village in the Kilimanjaro region from March to June 2019. The Gait, Arms, Legs, Spine (GALS) or paediatric GALS (pGALS) examinations were used during household and school visits. Individuals positive in GALS/pGALS screening were assessed by the regional examination of the musculoskeletal system (REMS) and Modified Health Assessment Questionnaire (MHAQ).
Results
Among the 1,172 individuals enrolled in households, 95 (8.1%, 95% CI: 6.6 - 9.8) showed signs of MSK disorders using the GALS/pGALS examination and 37 (3.2%, 95% CI: 2.2 - 4.3) using the REMS. Among 682 schools enrolled children, seven showed signs of MSK disorders using the GALS/pGALS examination (1.0%, 95% CI: 0.4 - 2.1) and three using the REMS (0.4%, 95% CI: 0.0 - 1.3). In the household-enrolled adult population, female gender and increasing age were associated with GALS and REMS-positive findings. Among GALS-positive adults, increasing age was associated with REMS-positive status and increasing MHAQ score.
Conclusion
This Tanzanian study demonstrates a prevalence of MSK disorders and identifies predictors of MSK disorders comparable to those seen globally. These findings can inform the development of rheumatology services and interventions in Tanzania and the design of future investigations of the determinants of MSK disorders, and their impacts on health, livelihoods, and well-being
A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection
Get PDFIn line with the global mission in achieving the net zero target through deployment of renewable energy technologies and electrifying the transportation sector; precise and adaptable State of Charge (SOC) estimation for Lithium-ion batteries has emerged as a critical need. The paper introduces a novel Cluster-Based Learning Model (CBLM) framework that integrates the strengths of K-Means and Fuzzy C-Means clustering with the predictive power of Long Short-Term Memory (LSTM) networks. This approach aims to enhance the precision and reliability of battery SOC estimations, adapting to the dynamic and complex operational conditions characteristic of Li-ion batteries. The key contributions of this study is the development and validation of the CBLM framework, which was proven to outperform state-of-art standalone deep learning techniques particularly under diverse operational conditions. Additionally, the introduction of a centroid proximity selection mechanism within the CBLM framework, which dynamically selects the most appropriate cluster model in real-time based on the proximity of the operational data to the cluster centroids. The performance of the proposed CBLM approach is evaluated using a Tesla Model 3 2170 Li-ion battery dataset. Results demonstrate the model's enhanced performance, with reductions in Root Mean Square Error (RMSE) to as low as 0.65% and Mean Absolute Error (MAE) to 0.51%, reducing state-of-art benchmark model errors by margins of 61.8% and 68.5% respectively. Additionally, the maximum error using CBLM was lower than benchmark, emphasising the model's reliability in worst-case-scenarios. The study also conducted comprehensive ablation tests on the proposed novel framework to further optimise its performance