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Measuring residual strain and stress in thermal spray coatings using neutron diffractometers. (2021)
Journal Article
FAISAL, N.H., AHMED, R., PRATHURU, A.K., PARADOWSKA, A. and LEE, T.L. 2022. Measuring residual strain and stress in thermal spray coatings using neutron diffractometers. Experimental mechanics [online], 62(3), pages 369-392. Available from: https://doi.org/10.1007/s11340-021-00803-9

Background: During thermal spray coating, residual strain is formed within the coating and substrates due to thermo-mechanical processes and microstructural phase changes. Objective: This paper provides a comprehensive guide to researchers planning t... Read More about Measuring residual strain and stress in thermal spray coatings using neutron diffractometers..

International Student Midwives Network. (2021)
Presentation / Conference Contribution
MISCIOSCIA, E., VELO HIGUERAS, M., AMMANN FIECHTER, S. and GRAF HEULE, P. 2021. International Student Midwives Network. Presented at 2021 Educating midwives: meeting future challenges, 10 November 2021, Manchester, UK.

This work elaborates and gives first experiences of the International Student Midwives Network, an international online student co-operation project first started in 2020 between Robert Gordon University, Aberdeen, UK and Zurich University of Applied... Read More about International Student Midwives Network..

Comparison of performances of regression model-based prediction of meteorological conditions. (2021)
Presentation / Conference Contribution
VEJENDLA, R.S., PAVULURI, B.L., VENIGANDLA, N., TINNAVALLI, D. and BANO, S. 2022. Comparison of performances of regression model-based prediction of meteorological conditions. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 155-169. Available from: https://doi.org/10.1007/978-981-16-3690-5_15

This paper clearly illustrates the working of different machine learning algorithms to determine the weather conditions. This involves the prediction of temperature by training with the pre-existing dataset of weather conditions on each day for aroun... Read More about Comparison of performances of regression model-based prediction of meteorological conditions..

An analytical prediction of breast cancer using machine learning. (2021)
Presentation / Conference Contribution
CHILUKURI, N.V.S.G.S.S., BANO, S., THOLETI, G.S.R., KAMMA, S.P. and NIHARIKA, G.L. 2022. An analytical prediction of breast cancer using machine learning. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 185-202. Available from: https://doi.org/10.1007/978-981-16-3690-5_17

Breast cancer is one of the most frequent cancers among women, affecting about 2 million people. There is 98% chance of 5-years survival rate if detected at early stage. The data about breast cancer used in this paper is the Wisconsin dataset, which... Read More about An analytical prediction of breast cancer using machine learning..

Vocal source builds divergence in gender recognition. (2021)
Presentation / Conference Contribution
THOLETI, G.S.R., GHANTA, D., CHILUKURI, N.V.S.G.S.S. and BANO, S. 2022. Vocal source builds divergence in gender recognition. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 171-183. Available from: https://doi.org/10.1007/978-981-16-3690-5_16

The purpose of this study was to investigate whether artificial intelligence could be used to determine a person's gender based on the sound of their voice. The research examined different machine learning and deep learning algorithms for gender clas... Read More about Vocal source builds divergence in gender recognition..

On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects. (2021)
Journal Article
SHI, H., WANG, S., WANG, L., XU, W., FERNANDEZ, C., DABLU, B.E. and ZHANG, Y. 2022. On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects. Journal of power sources [online], 517, article 230725. Available from: https://doi.org/10.1016/j.jpowsour.2021.230725

The accurate modeling of lithium-ion batteries is extremely important to improve the reliability of battery management systems, and solving the problem of multi-time scales is extremely beneficial for high-accuracy battery modeling and adaptive async... Read More about On-line adaptive asynchronous parameter identification of lumped electrical characteristic model for vehicle lithium-ion battery considering multi-time scale effects..

Re@ct: social change art technology. (2021)
Journal Article
COOK, S., DELAPPE, J. and LEUZZI, L. (eds.) 2021. Re@ct: social change art technology. Media-N: journal of the New Media Caucus [online], 17(2). Available from: https://doi.org/10.21900/j.median.v17i2

This special issue of Media-N has been co-edited by Sarah Cook, Joseph DeLappe and Laura Leuzzi. It gathers essays, artists' statements and experimental writing projects from selected participants in Re@ct: Social Change Art Technology, a three-day s... Read More about Re@ct: social change art technology..

Leveraging e-learning technology to enhance pre-service training for healthcare trainees in Ghana: evidence from a pilot project and pointers to policy reforms. (2021)
Journal Article
ALHASSAN, R.K., AYANORE, M.A., DIEKUU, J.-B., PREMPEH, E.B.A. and DONKOR, E.S. 2021. Leveraging e-learning technology to enhance pre-service training for healthcare trainees in Ghana: evidence from a pilot project and pointers to policy reforms. BMC health services research [online], 21, article number 1209. Available from: https://doi.org/10.1186/s12913-021-07224-3

E-Learning solutions are increasingly being advocated to augment existing traditional teaching and learning efforts in health training institutions. Unfortunately, these emerging technologies rarely focus on health sciences education within the conte... Read More about Leveraging e-learning technology to enhance pre-service training for healthcare trainees in Ghana: evidence from a pilot project and pointers to policy reforms..

Multiple polar and non‐polar nematic phases. (2021)
Journal Article
BROWN, S., CRUICKSHAK, E., STOREY, J.M.D., IMRIE, C.T., POCIECHA, D., MAJEWSKA, M., MAKAL, A. and GORECKA, E. 2021. Multiple polar and non-polar nematic phases. ChemPhysChem [online], 22(24), pages 2506-2510. Available from: https://doi.org/10.1002/cphc.202100644

Liquid-crystal materials exhibiting up to three nematic phases are reported. Dielectric response measurements show that while the lower temperature nematic phase has ferroelectric order and the highest temperature nematic phase is apolar, the interme... Read More about Multiple polar and non‐polar nematic phases..

Improved covariance matching-electrical equivalent modeling for accurate internal state characterization of packing lithium‐ion batteries. (2021)
Journal Article
WANG, S., FAN, Y., YU, C., JIN, S., FERNANDEZ, C. and STROE, D.-I. 2022. Improved covariance matching-electrical equivalent modeling for accurate internal state characterization of packing lithium-ion batteries. International journal of energy research [online], 46(3), pages 3602-3620. Available from: https://doi.org/10.1002/er.7408

As for the cell-to-cell inconsistency of packing lithium-ion batteries, accurate equivalent modeling plays a significant role in the working characteristic monitoring and improving the safety protection quality under complex working conditions. In th... Read More about Improved covariance matching-electrical equivalent modeling for accurate internal state characterization of packing lithium‐ion batteries..

Relations between corporate economic performance, environmental disclosure and greenhouse gas emissions: new insights. (2021)
Presentation / Conference Contribution
HASSAN, O. and ROMILLY, P. 2021. Relations between corporate economic performance, environmental disclosure and greenhouse gas emissions: new insights. Presented at 2nd Modern management based on big data international conference 2021 (MMBD2021), 8-11 November 2021, [virtual conference].

This study examines the associations and causations between corporate economic performance, environmental disclosure and greenhouse gas emissions, utilizing a large, longitudinal, multi-country dataset disaggregated between developed and developing c... Read More about Relations between corporate economic performance, environmental disclosure and greenhouse gas emissions: new insights..

Myth or gold? The power of aesthetics in the adoption of building integrated photovoltaics (BIPVs). (2021)
Journal Article
AWUKU, S.A., BENNADJI, A., MUHAMMAD-SUKKI, F. and SELLAMI, N. 2021. Myth or gold? The power of aesthetics in the adoption of building integrated photovoltaics (BIPVs). Energy nexus [online], 4, article number 100021. Available from: https://doi.org/10.1016/j.nexus.2021.100021

BIPV has gained a lot of attention in the solar world especially in recent times as the push for Net Zero Energy Buildings (NZEB) and concerns about landscape aesthetics increases. Aesthetics plays a critical role in the adoption of BIPVs as it is on... Read More about Myth or gold? The power of aesthetics in the adoption of building integrated photovoltaics (BIPVs)..

Demystifying the complexity and heterogeneity of recycling behavior in organizational settings: a mixed-methods approach. (2021)
Journal Article
OKE, A., MCDONALD, S. and KOROBILIS-MAGAS, E. 2021. Demystifying the complexity and heterogeneity of recycling behavior in organizational settings: a mixed-methods approach. Waste management [online], 136, pages 337-347. Available from: https://doi.org/10.1016/j.wasman.2021.10.020

Research on recycling has advanced across different disciplines, although the current knowledge about recycling behaviors at the corporate level remains elusive. While most studies on recycling are focused on households, there is no indication that p... Read More about Demystifying the complexity and heterogeneity of recycling behavior in organizational settings: a mixed-methods approach..

Development of a complex intervention to support exercise self-management for people with Parkinson's. (2021)
Presentation / Conference Contribution
JONES, J., ALEXANDER, L., HANCOCK, E. and COOPER, K. 2021. Development of a complex intervention to support exercise self-management for people with Parkinson's. Presented at 2021 Virtual physiotherapy UK (VPUK 2021), 5-6 November 2021, [virtual conference].

Purpose: The value of exercise for people with Parkinson's (PwP) is undisputed, and is associated with improved health outcomes and potential to slow down the rate of symptom decline. However, the optimum means to support long-term participation in e... Read More about Development of a complex intervention to support exercise self-management for people with Parkinson's..

Exercise therapy for the treatment of tendinopathies: a scoping review. (2021)
Presentation / Conference Contribution
ALEXANDER, L., HARRISON, I., MORRISSEY, D., SWINTON, P., MOSS, R., GREIG, L. and COOPER, K. 2021. Exercise therapy for the treatment of tendinopathies: a scoping review. Presented at 2021 Virtual physiotherapy UK (VPUK 2021), 5-6 November 2021, [virtual conference].

Purpose: Tendinopathy is a common condition leading to pain, disability and reduced quality of life/participation. Due to many tendinopathies having a chronic or recurrent course, there is a need to identify effective, evidence based practice for thi... Read More about Exercise therapy for the treatment of tendinopathies: a scoping review..

Environmentally friendly analytical method to assess enantioselective behaviour of pharmaceuticals and pesticides in river waters. (2021)
Journal Article
PETRIE, B. and CAMACHO-MUÑOZ, D. 2021. Environmentally friendly analytical method to assess enantioselective behaviour of pharmaceuticals and pesticides in river waters. Sustainable chemistry and pharmacy [online], 24, article 100558. Available from: https://doi.org/10.1016/j.scp.2021.100558

Reported herein is the first enantioselective method for simultaneous separation of chiral pharmaceuticals and pesticides using ultra-high-performance liquid chromatography-tandem mass spectrometry. Separation was achieved using a ChiralPak IG-U® col... Read More about Environmentally friendly analytical method to assess enantioselective behaviour of pharmaceuticals and pesticides in river waters..

A novel framework for centrifugal pump fault diagnosis by selecting fault characteristic coefficients of Walsh transform and cosine linear discriminant analysis. (2021)
Journal Article
AHMAD, Z., RAI, A., HASAN, M.J., KIM, C.H. and KIM, J.-M. 2021. A novel framework for centrifugal pump fault diagnosis by selecting fault characteristic coefficients of walsh transform and cosine linear discriminant analysis. IEEE access [online], 9, pages 150128-150141. Available from: https://doi.org/10.1109/ACCESS.2021.3124903

In this paper, we propose a three-stage lightweight framework for centrifugal pump fault diagnosis. First, the centrifugal pump vibration signatures are fast transformed using a Walsh transform, and Walsh spectra are obtained. To overcome the hefty n... Read More about A novel framework for centrifugal pump fault diagnosis by selecting fault characteristic coefficients of Walsh transform and cosine linear discriminant analysis..

Interventions to prevent obesity in Mexican children and adolescents: systematic review. (2021)
Journal Article
ACEVES-MARTINS, M., LÓPEZ-CRUZ, L., GARCÍA-BOTELLO, M., GUTIERREZ-GÓMEZ, Y.Y. and MORENO-GARCÍA, C.F. 2022. Interventions to prevent obesity in Mexican children and adolescents: systematic review. Prevention science [online], 23(4), pages 563-586. Available from: https://doi.org/10.1007/s11121-021-01316-6

The prevalence of overweight and obesity has been rising among Mexican children and adolescents in the last decades. To systematically review obesity prevention interventions delivered to Mexican children and adolescents. Thirteen databases and one s... Read More about Interventions to prevent obesity in Mexican children and adolescents: systematic review..

FedSim: similarity guided model aggregation for federated learning. (2021)
Journal Article
PALIHAWADANA, C., WIRATUNGA, N., WIJEKOON, A. and KALUTARAGE, H. 2022. FedSim: similarity guided model aggregation for federated learning. Neurocomputing [online], 483: distributed machine learning, optimization and applications, pages 432-445. Available from: https://doi.org/10.1016/j.neucom.2021.08.141

Federated Learning (FL) is a distributed machine learning approach in which clients contribute to learning a global model in a privacy preserved manner. Effective aggregation of client models is essential to create a generalised global model. To what... Read More about FedSim: similarity guided model aggregation for federated learning..

Briefing: assessing the impact of COVID-19 on the clinically extremely vulnerable population. (2021)
Preprint / Working Paper
HODGSON, K., BUTLER, J.E., DAVIES, A., HOUSTON, S., MARSZALEK, K., PEYTRIGNET, S., PIRODDI, R., WOOD, F. and DEENY, S. 2021. Briefing: assessing the impact of COVID-19 on the clinically extremely vulnerable population. London: The Health Foundation [online]. Available from: https://www.health.org.uk/publications/reports/assessing-the-impact-of-covid-19-on-the-clinically-extremely-vulnerable-population

By February 2021 more than 4 million people across the UK had been identified as clinically extremely vulnerable to COVID-19 and advised to shield. Our briefing shows the scale of the challenge of ensuring that the most clinically vulnerable to COVID... Read More about Briefing: assessing the impact of COVID-19 on the clinically extremely vulnerable population..