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(Wolverhampton Intellectual Repository and E-Theses)
WIRE is an open access repository for the research publications and other outputs from postgraduate students and staff at the University of Wolverhampton.
Wolverhampton staff: to deposit your publication to WIRE, go to: https://www.wlv.ac.uk/lib/research/wire/
Use the search box above or the browse function on the left to discover publications from the research community at the University of Wolverhampton.
University students and staff can also search WIRE using LibrarySearch
For further information or help, contact the Scholarly Communications Team at wire@wlv.ac.uk
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Volcano eruption algorithm for solving optimization problemsMeta-heuristic algorithms have been proposed to solve several optimization problems in different research areas due to their unique attractive features. Traditionally, heuristic approaches are designed separately for discrete and continuous problems. This paper leverages the meta-heuristic algorithm for solving NP-hard problems in both continuous and discrete optimization fields, such as nonlinear and multi-level programming problems through extensive simulations of volcano eruption process. In particular, a new optimization solution named Volcano Eruption Algorithm (VEA) proposed in this paper, which is inspired from the nature of volcano eruption. The feasibility and efficiency of the algorithm are evaluated using numerical results obtained through several test problems reported in the state-of-theart literature. Based on the solutions and number of required iterations, we observed that the proposed meta-heuristic algorithm performs remarkably well to solve NP-hard problem. Furthermore, the proposed algorithm is applied to solve some large-size benchmarking LP and Internet of Vehicles (IoV) problems efficiently.
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Evaluation of anti-biofilm activity of acidic amino acids and synergy with ciprofloxacin on Staphylococcus aureus biofilmsAcidic amino acids, aspartic acid (Asp) and glutamic acid (Glu) can enhance the solubility of many poorly soluble drugs including ciprofloxacin (Cip). One of the mechanisms of resistance within a biofilm is retardation of drug diffusion due to poor penetration across the matrix. To overcome this challenge, this work set to investigate novel counter ion approach with acidic amino acids, which we hypothesised will disrupt the biofilm matrix as well as simultaneously improve drug effectiveness. The anti-biofilm activity of D-Asp and D-Glu was studied on Staphylococcus aureus biofilms. Synergistic effect of combining D-amino acids with Cip was also investigated as a strategy to overcome anti-microbial resistance in these biofilms. Interestingly at equimolar combinations, D-Asp and D-Glu were able to significantly disperse (at 20 mM and 40 mM) established biofilms and inhibit (at 10 mM, 20 mM and 40 mM) new biofilm formation in the absence of an antibiotic. Moreover, our study confirmed L-amino acids also exhibit anti-biofilm activity. The synergistic effect of acidic amino acids with Cip was observed at lower concentration ranges (<40 mM amino acids and <90.54 µM, respectively), which resulted in 96.89% (inhibition) and 97.60% (dispersal) reduction in CFU with exposure to 40 mM amino acids. Confocal imaging indicated that the amino acids disrupt the honeycomb-like extracellular DNA (eDNA) meshwork whilst also preventing its formation.
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Verbal multiword expressions for identification of metaphorMetaphor is a linguistic device in which a concept is expressed by mentioning another. Identifying metaphorical expressions, therefore, requires a non-compositional understanding of semantics. Multiword Expressions (MWEs), on the other hand, are linguistic phenomena with varying degrees of semantic opacity and their identification poses a challenge to computational models. This work is the first attempt at analysing the interplay of metaphor and MWEs processing through the design of a neural architecture whereby classification of metaphors is enhanced by informing the model of the presence of MWEs. To the best of our knowledge, this is the first “MWE-aware” metaphor identification system paving the way for further experiments on the complex interactions of these phenomena. The results and analyses show that this proposed architecture reach state-of-the-art on two different established metaphor datasets.
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The impact of Covid-19 outbreak on United Kingdom infrastructure sectorPurpose: In December 2019, news broke out from the World Health Organisation (WHO), with the first outbreak of Covid-19 in Wuhan China. On March 11 2020, the WHO declared Covid-19 to officially be a pandemic. The UK was put under lockdown on the 23rd of March 2020 by the Prime Minister Boris Johnson, the lockdown introduced strict measures put into place including the restriction for unnecessary working from offices, and only leaving houses if it is deemed essential. Therefore, this paper focuses on the changes that the infrastructure sector has had to undertake in order to adhere to the Covid-19 lockdown rules while being productive. Design/methodology/approach: Given the new and unexplored nature of the research problem, a qualitative research methodology was adopted. In total, five semi-structured interviews from three infrastructure sector organisations were conducted to collect data, which was then analysed using thematic analysis for inference and conclusion. Findings: The results indicate that the lockdown is proving to be difficult to manage projects as staff members are working from home. This leads to delays on a project activities as many staff cannot physically go on site and conduct works. The managers are finding difficult to manage their teams. However, technological tools such as video chat and meetings via online platforms have proven to be most effective in communications with project teams. The Building Information Modelling (BIM)/Design has been useful as the 3D design models helps to visualise the project within team meetings in order to comply with the Covid-19 rules and follow social distancing guidelines while still carrying on works. However, induction to any new starter is proving to be difficult to manage with the pandemic and lockdown as it involves a drugs and alcohol test prior to commencing work of that project. Originality/value: This paper provides a rich insight into the understanding and awareness of the impact of Covid-19 and the changes that the infrastructure sector has had to undertake in order to adhere to the lockdown rules while being productive. This study contributes towards informing policymakers on some lessons learned from the management of the Covid-19 from an infrastructure sector perspective. Furthermore, twelve key implications are drawn for decision makers within the infrastructure sector business to rethink and act to deal with the pandemic crisis.
