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Harris Tweed: a glocal case study. (2021)
Journal Article
CROSS, K., STEED, J. and JIANG, Y. 2021. Harris Tweed: a global case study. Fashion, style and popular culture [online], 8(4), pages 475-494. Available from: https://doi.org/10.1386/fspc_00102_1

Fast and effectively disposable fashion has seen clothing reduced to transient items, worn for a short period of time then discarded. This has pushed down prices, moving textile and clothing production to low-cost labour countries and decimating the... Read More about Harris Tweed: a glocal case study..

A new approach for quantitative mapping of retention mechanisms of associative polymers in porous media. (2021)
Journal Article
AFOLABI, R., OLUYEMI, G.F., OFFICER, S. and UGWU, J.O. 2021. A new approach for quantitative mapping of retention mechanisms of associative polymers in porous media. Journal of molecular liquids [online], In Press. Available from: https://doi.org/10.1016/j.molliq.2021.117685

The retention of associative polymer molecules poses a significant challenge for its transport in porous media, and this arises due to the hydrophobic interactions that exists between the retained molecules. The known experimental approach in literat... Read More about A new approach for quantitative mapping of retention mechanisms of associative polymers in porous media..

CFD modelling and prototype testing of a vertical axis wind turbines in planetary cluster formation. (2021)
Journal Article
DURKACZ, J., ISLAM, S., CHAN, R., FONG, E., GILLIES, H., KARNIK, A. and MULLAN, T. 2021. CFD modelling and prototype testing of a vertical axis wind turbines in planetary cluster formation. Energy reports [online], 7(Supplement 3): 6th International conference on advances on clean energy research 2021 (ICACER 2021), 15-17 April 2021, [virtual conference], pages 119-126. Available from: https://doi.org/10.1016/j.egyr.2021.06.019

This study aims to improve the applicability of Vertical Axis Wind Turbines (VAWTs) by investigating their feasibility in a novel planetary cluster configuration by observing its effect on efficiency and overall power density. Computational Fluid Dyn... Read More about CFD modelling and prototype testing of a vertical axis wind turbines in planetary cluster formation..

Job insecurity during an economic crisis: the psychological consequences of widespread corporate cost-cutting announcements. (2021)
Journal Article
VAN EGDOM, D., SPITZMUELLER, C., WEN, X., KAZMI, M.A., BARANSKI, E., FLIN, R. and KRISHNAMOORTI, R. [2021]. Job insecurity during an economic crisis: the psychological consequences of widespread corporate cost-cutting announcements. Occupational health science [online], (accepted).

Economic crises, such as the one induced by the COVID-19 pandemic, and resulting widespread corporate cost-cutting, drastically alter the nature of work. Job insecurity represents a critical intermediate between the economic ramifications of an econo... Read More about Job insecurity during an economic crisis: the psychological consequences of widespread corporate cost-cutting announcements..

Resilience in a Kenyan informal settlement during the COVID-19 pandemic. (2021)
Journal Article
VERTIGANS, S., MUELLER-HIRTH, N. and OKINDA, F. [2021]. Resilience in a Kenyan informal settlement during the COVID-19 pandemic. Acta academica [online], (accepted).

Informal settlements have been identified as locations both where the spread of COVID-19 has generally been slower than within the Global North and measures to restrain the pandemic have further intensified local peoples’ marginality as income decrea... Read More about Resilience in a Kenyan informal settlement during the COVID-19 pandemic..

FedSim: similarity guided model aggregation for federated learning. (2021)
Journal Article
PALIHAWADANA, C., WIRATUNGA, N., WIJEKOON, A. and KALUTARAGE, H. [2021]. FedSim: similarity guided model aggregation for federated learning. Neurocomputing [online], special issue: distributed machine learning, optimization and applications, (accepted).

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..

Muscle strength and muscle mass as predictors of hospital length of stay in patients with moderate to severe COVID‐19: a prospective observational study. (2021)
Journal Article
GIL, S., FILHO, W.F., SHINJO, S.K., FERRIOLLI, E., BUSSE, A.L., AVELINO-SILVA, T.J., LONGOBARDI, I., DE OLIVEIRA JÚNIOR, G.N., SWINTON, P., GUALANO, B., ROSCHEL, H. and the HCFMUSP COVID-19 Study Group. 2021. Muscle strength and muscle mass as predictors of hospital length of stay in patients with moderate to severe COVID-19: a prospective observational study. Journal of cachexia, sarcopenia and muscle [online], Early View. Available from: https://doi.org/10.1002/jcsm.12789

Background: Strength and muscle mass are predictors of relevant clinical outcomes in critically ill patients, but in hospitalized patients with COVID-19, it remains to be determined. In this prospective observational study, we investigated whether mu... Read More about Muscle strength and muscle mass as predictors of hospital length of stay in patients with moderate to severe COVID‐19: a prospective observational study..

The concentration and biomagnification of trace metals and metalloids across four trophic levels in a marine food web. (2021)
Journal Article
MADGETT, A.S., YATES, K., WEBSTER, L., MCKENZIE, C. and MOFFAT, C.F. 2021. The concentration and biomagnification of trace metals and metalloids across four trophic levels in a marine food web. Marine pollution bulletin [online], 173, part A, article 112929. Available from: https://doi.org/10.1016/j.marpolbul.2021.112929

To be able to assess progress towards “Good Environmental Status” adopted across European Member States, and by the United Kingdom through its 3-stage Marine Strategy, contaminant concentrations and their biological effects need to be assessed in env... Read More about The concentration and biomagnification of trace metals and metalloids across four trophic levels in a marine food web..

Review of existing energy retrofit decision tools for homeowners. (2021)
Journal Article
SEDDIKI, M., BENNADJI, A., LAING, R., GRAY, D. and ALABID, J.M. 2021. Review of existing energy retrofit decision for homeowners. Sustainability [online], 13(18), article 10189. Available from: https://doi.org/10.3390/su131810189

Energy retrofit tools are considered by many countries as one of the strongest incentives to encourage homeowners to invest in energy renovation. These tools help homeowners to get an initial overview of suitable retrofit measures. Although a large n... Read More about Review of existing energy retrofit decision tools for homeowners..

DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods. (2021)
Conference Proceeding
WIRATUNGA, N., WIJEKOON, A., NKISI-ORJI, I., MARTIN, K., PALIHAWADANA, C. and CORSAR, D. 2021. DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods. To be presented at 33rd IEEE (Institute of Electrical and Electronics Engineers) International conference on tools with artificial intelligence 2021 (ICTAI 2021), 1-3 November 2021, [virtual conference].

Counterfactual explanations focus on 'actionable knowledge' to help end-users understand how a machine learning outcome could be changed to a more desirable outcome. For this purpose a counterfactual explainer needs to discover input dependencies tha... Read More about DisCERN: discovering counterfactual explanations using relevance features from neighbourhoods..

A novel robust low-rank multi-view diversity optimization model with adaptive-weighting based manifold learning. (2021)
Journal Article
TAN, J., YANG, Z., REN, J., WANG, B., CHENG, Y. and LING, W.-K. [2021]. A novel robust low-rank multi-view diversity optimization model with adaptive-weighting based manifold learning. Pattern recognition [online], In Press. Available from: https://doi.org/10.1016/j.patcog.2021.108298

Multi-view clustering has become a hot yet challenging topic, due mainly to the independence of and information complementarity between different views. Although good results are achieved to a certain extent from typical methods including multi-view... Read More about A novel robust low-rank multi-view diversity optimization model with adaptive-weighting based manifold learning..

Optical fibre-based sensors for oil and gas applications. (2021)
Journal Article
JOHNY, J., AMOS, S. and PRABHU, R. 2021. Optical fibre-based sensors for oil and gas applications. Sensors [online], 21(8), article 6047. Available from: https://doi.org/10.3390/s21186047

Oil and gas (O&G) explorations moving into deeper zones for enhanced oil and gas recovery are causing serious safety concerns across the world. The sensing of critical multiple parameters like high pressure, high temperature (HPHT), chemicals, etc.,... Read More about Optical fibre-based sensors for oil and gas applications..

SpaSSA: superpixelwise adaptive SSA for unsupervised spatial-spectral feature extraction in hyperspectral image. (2021)
Journal Article
SUN, G., FU, H., REN, J., ZHANG, A., ZABALZA, J., JIA, X. and ZHAO, H. 2021. SpaSSA: superpixelwise adaptive SSA for unsupervised spatial-spectral feature extraction in hyperspectral image. IEEE transactions on cybernetics [online], Early Access. Available from: https://doi.org/10.1109/TCYB.2021.3104100

Singular spectral analysis (SSA) has recently been successfully applied to feature extraction in hyperspectral image (HSI), including conventional (1-D) SSA in spectral domain and 2-D SSA in spatial domain. However, there are some drawbacks, such as... Read More about SpaSSA: superpixelwise adaptive SSA for unsupervised spatial-spectral feature extraction in hyperspectral image..

A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries. (2021)
Journal Article
WANG, S., JIN, S., BAI, D., FAN, Y., SHI, H. and FERNANDEZ, C. 2021. A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries. Energy reports [online], 7, pages 5562-5574. Available from: https://doi.org/10.1016/j.egyr.2021.08.182

As widely used for secondary energy storage, lithium-ion batteries have become the core component of the power supply system and accurate remaining useful life prediction is the key to ensure its reliability. Because of the complex working characteri... Read More about A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries..

Menopause and personal protective equipment: how does this meet acceptable working conditions? (2021)
Journal Article
KYDD, A. 2021. Menopause and personal protective equipment: how does this meet acceptable working conditions? Case reports in women's health [online], 32, article e00356. Available from: https://doi.org/10.1016/j.crwh.2021.e00356

Menopause and the workplace has finally become a trending topic. Specific societies, agencies, charities and trade unions, such as the European Menopause and Andropause Society (EMAS), the British Menopause Society (BMS), the Chartered Institute for... Read More about Menopause and personal protective equipment: how does this meet acceptable working conditions?.

Student and pre-registration pharmacist performance in a UK prescribing assessment. (2021)
Journal Article
POWER, A., STEWART, D., CRAIG, G., BOYTER, A., REID, F., STEWART, F., CUNNINGHAM, S. and MAXWELL, S. 2021. Student and pre-registration pharmacist performance in a UK prescribing assessment. International journal of clinical pharmacy [online], Latest articles. Available from: https://doi.org/10.1007/s11096-021-01317-z

Student and pre-registration pharmacist performance in a UK Prescribing Assessment’: room for improvement and need for curricular change Background Increasingly the global policy direction is for patient-facing pharmacist prescribers. The ‘UK Prescri... Read More about Student and pre-registration pharmacist performance in a UK prescribing assessment..

Pulse train generation in a distributed gain fibre amplifier. (2021)
Journal Article
ATUBA, S.O. 2021. Pulse train generation in a distributed gain fibre amplifier. Results in optics [online], In Press. Available from: https://doi.org/10.1016/j.rio.2021.100136

This work shows the generation of an array of chirped compressed periodic waves with distributed gain in a nonlinear fibre. In particular, with suitable tailoring of the gain to vary along the longitudinal distance while the dispersion and nonlineari... Read More about Pulse train generation in a distributed gain fibre amplifier..

Reassessing thermal comfort in modern architecture: E.1027 as a case study. (2021)
Journal Article
GALIANO-GARRIGÓS, A., MARCOS, C.L., KOUIDER, T. and JUAN GUTIÉRREZ, P.J. 2021. Reassessing thermal comfort in modern architecture: E.1027 as a case study. Building research and information [online], Latest Articles. Available from: https://doi.org/10.1080/09613218.2021.1971060

There is a general agreement that much of the syntax of modern architecture contributed to design buildings that were often inadequately adapted to climate conditions. However, there are some renowned examples that, while consistent with modern tenet... Read More about Reassessing thermal comfort in modern architecture: E.1027 as a case study..

A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. (2021)
Conference Proceeding
TORAL, L., MORENO-GARCIA, C.F., ELYAN, E. and MEMON, S. 2021. A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams. In Barney Smith, E.H. and Pal, U. (eds.) Document analysis and recognition: ICDAR 2021 workshops, part II: proceedings of 16th International conference on document analysis and recognition 2021 (ICDAR 2021), 5-10 September 2021, Lausanne, Switzerland. Lecture notes in computer science, 12917. Cham: Springer [online], pages 268-276. Available from: https://doi.org/10.1007/978-3-030-86159-9_18

Corrosion circuit mark up in engineering drawings is one of the most crucial tasks performed by engineers. This process is currently done manually, which can result in errors and misinterpretations depending on the person assigned for the task. In th... Read More about A deep learning digitisation framework to mark up corrosion circuits in piping and instrumentation diagrams..

Recurrent neural network and reinforcement learning model for COVID-19 prediction. (2021)
Journal Article
RAMASAMY, L.K., KHAN, F., DIN, S., BAND, S.S., MOSAVI, A. and IBEKE, E. [2021]. Recurrent neural network and reinforcement learning model for COVID-19 prediction. Frontiers in public health [online], (accepted). To be made available from: https://doi.org/10.3389/fpubh.2021.744100

Detection and prediction of the novel Coronavirus present new challenges for the medical research community due to its widespread across the globe. Methods driven by Artificial Intelligence can help predict specific parameters, hazards, and outcomes... Read More about Recurrent neural network and reinforcement learning model for COVID-19 prediction..