All Outputs (487)

Development of electric scooter alerting sounds using psychoacoustical metrics (2022)
Journal Article
Walton, T., Torija Martinez, A., & Elliott, A. (2022). Development of electric scooter alerting sounds using psychoacoustical metrics. Applied Acoustics, 201(109136), https://doi.org/10.1016/j.apacoust.2022.109136

In recent years electric micromobility transportation, including electric scooters, has seen a surge in popularity due to technological advances and the move to lower emission transport. Although offering a range of societal benefits, such as reduced... Read More about Development of electric scooter alerting sounds using psychoacoustical metrics.

Multiregion transcriptomic profiling of the primate brain reveals signatures of aging and the social environment (2022)
Journal Article
Chiou, K., DeCasien, A., Rees, K., Testard, C., Spurrell, C., Gogate, A., …Snyder-Mackler, N. (2022). Multiregion transcriptomic profiling of the primate brain reveals signatures of aging and the social environment. Nature Neuroscience, 25(12), 1714-1723. https://doi.org/10.1038/s41593-022-01197-0

Aging is accompanied by a host of social and biological changes that correlate with behavior, cognitive health and susceptibility to neurodegenerative disease. To understand trajectories of brain aging in a primate, we generated a multiregion bulk (N... Read More about Multiregion transcriptomic profiling of the primate brain reveals signatures of aging and the social environment.

A-Priori Framework for Community Transformation for Inclusive and Risk-Sensitive Urban Developments (2022)
Presentation / Conference
Geekiyanage, D., Fernando, T., & Keraminiyage, K. (2022, November). A-Priori Framework for Community Transformation for Inclusive and Risk-Sensitive Urban Developments. Paper presented at AUBEA 2022 - The 45th Australasian Universities Building Education Association Conference, Western Sydney University, Australia

Community-inclusive decision-making in developing equitable and risk-sensitive developments,particularly in urban settings, is becoming trending for achieving sustainable development goals(particularly SDG 10 and 11) set by the United Nations in 2015... Read More about A-Priori Framework for Community Transformation for Inclusive and Risk-Sensitive Urban Developments.

Drivers and potential distribution of anthrax occurrence and incidence at national and sub-county levels across Kenya from 2006 to 2020 using INLA (2022)
Journal Article
Ndolo, V., Redding, D., Lekolool, I., Mwangangi, D., Odhiambo, D., Deka, M., …Wood, J. (2022). Drivers and potential distribution of anthrax occurrence and incidence at national and sub-county levels across Kenya from 2006 to 2020 using INLA. Scientific reports, 12, https://doi.org/10.1038/s41598-022-24589-5

Anthrax is caused by, Bacillus anthracis, a soil-borne bacterium that infects grazing animals. Kenya reported a sharp increase in livestock anthrax cases from 2005, with only 12% of the sub-counties (decentralised administrative units used by Kenyan... Read More about Drivers and potential distribution of anthrax occurrence and incidence at national and sub-county levels across Kenya from 2006 to 2020 using INLA.

Disaster experiences, associated problems and lessons in southwestern coastal Bangladesh: exploring through participatory rural appraisal to enhance resilience (2022)
Journal Article
Parvin, G., Dasgupta, R., Abedin, M. A., Sakamoto, M., Ingirige, B., Kibria, M., …Nakagawa, H. (2022). Disaster experiences, associated problems and lessons in southwestern coastal Bangladesh: exploring through participatory rural appraisal to enhance resilience. Sustainable and Resilient Infrastructure, 1-14. https://doi.org/10.1080/23789689.2022.2138165

The southwestern coastal part of Bangladesh is highly vulnerable to different kinds of disasters due to the changing climatic conditions. With the lenses of rural communities here an approach to examine how were the different disasters experiences, w... Read More about Disaster experiences, associated problems and lessons in southwestern coastal Bangladesh: exploring through participatory rural appraisal to enhance resilience.

In situ dynamics of carbon supported metal systems for carbon dioxide electroreduction (2022)
Presentation / Conference
Arrigo, R. (2022, November). In situ dynamics of carbon supported metal systems for carbon dioxide electroreduction. Presented at Proceedings of International Conference on Frontiers in Electrocatalytic Transformations (INTERECT22), València, Spain

Graphitic materials are largely explored as redox-active supports for metal species in acid/base catalysis, redox catalysis and electrocatalysis. [1] Edge terminations and in-plane point defects, such non 6-membered rings and vacancies on the basal p... Read More about In situ dynamics of carbon supported metal systems for carbon dioxide electroreduction.

The potential distribution of Bacillus anthracis suitability across Uganda using INLA (2022)
Journal Article
Ndolo, V. A., Redding, D., Deka, M. A., Salzer, J. S., Vieira, A. R., Onyuth, H., …Conlan, A. J. K. (2022). The potential distribution of Bacillus anthracis suitability across Uganda using INLA. Scientific reports, 12(19967), https://doi.org/10.1038/s41598-022-24281-8

To reduce the veterinary, public health, environmental, and economic burden associated with anthrax outbreaks, it is vital to identify the spatial distribution of areas suitable for Bacillus anthracis, the causative agent of the disease. Bayesian app... Read More about The potential distribution of Bacillus anthracis suitability across Uganda using INLA.

RSM optimization and yield prediction for biodiesel produced from alkali-catalytic transesterification of pawpaw seed extract: thermodynamics, kinetics, and Multiple Linear Regression analysis (2022)
Journal Article
Ngige, G., Ovuoraye, P., Igwegbe, C., Fetahi, E., Okeke, J., Yakubu, A., & Onyechi, P. (2022). RSM optimization and yield prediction for biodiesel produced from alkali-catalytic transesterification of pawpaw seed extract: thermodynamics, kinetics, and Multiple Linear Regression analysis. Digital chemical engineering, 6, 100066. https://doi.org/10.1016/j.dche.2022.100066

Optimization of alkali transesterification of pawpaw seed extract to biodiesel using NaOH catalyst was carried out to analyze kinetics, thermodynamic parameters, and optimum conditions. Response Surface Methodology (RSM) and Multiple Linear Regressio... Read More about RSM optimization and yield prediction for biodiesel produced from alkali-catalytic transesterification of pawpaw seed extract: thermodynamics, kinetics, and Multiple Linear Regression analysis.

A comparison of deep learning techniques for corrosion detection (2022)
Conference Proceeding
Bolton, T., Bass, J., & Gaber, T. (2022). A comparison of deep learning techniques for corrosion detection. . https://doi.org/10.1007/978-3-031-20601-6_18

Corrosion - degradation in metal structures - is problematic, expensive to rectify, and can be unpredictable in the rate at which it spreads. Traditional preventative maintenance techniques are complemented by human visual inspection, in turn complem... Read More about A comparison of deep learning techniques for corrosion detection.

Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey (2022)
Journal Article
Mkaouer, M., Gaber, T., & Dagdia, Z. (2022). Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey. Applied Computational Intelligence and Soft Computing, 2(2), 173-194. https://doi.org/10.3934/aci.2022010

In late December 2019, the World Health Organization (WHO) announced the outbreak of a new type of coronavirus, named the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), also known as COVID-19. The deadliness of the virus has forced gov... Read More about Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey.

DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy (2022)
Journal Article
Adeboye, O., Dargahi, T., Babaie, M., Saraee, M., & Yu, C. (2022). DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy. IEEE Access, https://doi.org/10.1109/ACCESS.2022.3222834

Autonomous Vehicles (AVs) are equipped with several sensors which produce various forms of data, such as geo-location, distance, and camera data. The volume and utility of these data, especially camera data, have contributed to the advancement of h... Read More about DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy.

The adoption of metaverse systems: a hybrid SEM - ML method (2022)
Presentation / Conference
AlHamad, A., Alomari, K., Alshurideh, M., Al Kurdi, B., Salloum, S., & Al-Hamad, A. (2022, November). The adoption of metaverse systems: a hybrid SEM - ML method. Presented at 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives

Seeing high-tech medical devices from other nations and witnessing surgery to learn has become nearly unattainable. The pandemic of coronavirus disease 2019 (COVID-19) has created cross-border medical education challenging. Nevertheless, to cater to... Read More about The adoption of metaverse systems: a hybrid SEM - ML method.

Characterisation of inflammatory mediators in ischaemic heart disease (2022)
Thesis
Borun, A. Characterisation of inflammatory mediators in ischaemic heart disease. (Dissertation). University of Salford

Coronary artery disease (CAD) is one of the most common causes of death in general population. In the UK it accounts for 64000 deaths annually and there are currently 2.3 million people living with CAD. Persistent inflammation of myocardium is believ... Read More about Characterisation of inflammatory mediators in ischaemic heart disease.

Graph attention neural network for water network partitioning (2022)
Journal Article
Rong, K., Fu, M., Huang, Y., Zhang, M., Zheng, L., Zheng, J., …Yaseen, Z. (2022). Graph attention neural network for water network partitioning. Applied Water Science, 13(3), https://doi.org/10.1007/s13201-022-01791-4

Partitioning a water distribution network into several district metered areas is beneficial for its management. Partitioning a network according to its node features and connections remains a challenge. A recent study has realized water network parti... Read More about Graph attention neural network for water network partitioning.

Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking (2022)
Journal Article
Hu, Z., Ren, L., Wei, G., Qian, Z., Liang, W., Chen, W., …Wang, K. (2022). Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 294-303. https://doi.org/10.1109/tnsre.2022.3221986

Understanding the distinct functions of human muscles could not only help professionals obtain insights into the underlying mechanisms that we accommodate compromised neuromuscular system, but also assist engineers in developing rehabilitation device... Read More about Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking.

Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities (2022)
Journal Article
Alahdal, M., & Elkord, E. (2022). Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities. Clinical Immunology, 245, https://doi.org/10.1016/j.clim.2022.109177

Exhaustion of immune cells in COVID-19 remains a serious concern for infection management and therapeutic interventions. As reported, immune cells such as T effector cells (Teff), T regulatory cells (Tregs), natural killer cells (NKs), and antigen-pr... Read More about Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities.

Editorial: metabolic reprogramming in breast cancer (2022)
Journal Article
Scatena, C., Naccarato, A., Ozsvari, B., & Scumaci, D. (2022). Editorial: metabolic reprogramming in breast cancer. Frontiers in Oncology, 12, https://doi.org/10.3389/fonc.2022.1081171

Metabolic reprogramming is an emerging hallmark of breast cancer. A common characteristic of tumor cells is the ability to obtain nutrients from a nutrient-deprived environment and to use them to sustain cancer progression, within crucial metabolic p... Read More about Editorial: metabolic reprogramming in breast cancer.

Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective (2022)
Journal Article
Tariq, H., Pathirage, C., Fernando, T., Sulaiman, N., Nazir, U., Abdul Latib, S. K. K., & Masram, H. (2022). Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective. Sustainability, 14(22), 14749. https://doi.org/10.3390/su142214749

Communities increasingly need tools that can help them assess the environmental risks they face to understand better their capacities in mitigation, preparedness, response, and recovery. Environmental resilience (ER) is a crucial feature of community... Read More about Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective.

Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Thabit, S., El-Qirem, F., …Al-Maroof, R. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level. Electronics, 11(22), https://doi.org/10.3390/electronics11223662

The learning environment usually raises various types of anxiety based on the student’s abilities to use technology and their abilities to overcome the negative feelings of an individual being watched all the time and criticized. Hence, learners stil... Read More about Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level.

Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime (2022)
Journal Article
Beg, O., Muhammed, R., Basha, H., Reddy, G., & Shankar, U. (2022). Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime. Waves in Random and Complex Media, https://doi.org/10.1080/17455030.2022.2139013

Mathematical modelling of squeezing flows finds numerous applications in biological, mechanical and medical engineering. Sensors feature such flows and can be effectively utilized to control vibrations and regulate lubrication. Magnetic fluids are cr... Read More about Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime.