Skip to main content

Research Repository

Advanced Search

All Outputs (91)

A feasibility study into the production of a mussel matrix reference material for the cyanobacterial toxins microcystins and nodularins. (2022)
Journal Article
TURNER, A.D., BEACH, D.G., FOSS, A., SAMDAL, I.A., LØVBERG, K.L.E., WAACK, J., EDWARDS, C., LAWTON, L.A., DEAN, K.J., MASKREY, B.H. and LEWIS, A.M. 2023. A feasibility study into the production of a mussel matrix reference material for the cyanobacterial toxins microcystins and nodularins. Toxins [online], 15(1), article 27. Available from: https://doi.org/10.3390/toxins15010027

Microcystins and nodularins, produced naturally by certain species of cyanobacteria, have been found to accumulate in aquatic foodstuffs such as fish and shellfish, resulting in a risk to the health of the seafood consumer. Monitoring of toxins in su... Read More about A feasibility study into the production of a mussel matrix reference material for the cyanobacterial toxins microcystins and nodularins..

Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter. (2022)
Journal Article
XIAO, W., WANG, S., YU, C., YANG, X., QIU, J. and FERNANDEZ, C. 2022. Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter. Journal of The Electrochemical Society [online], 169(12), 120534. Available from: https://doi.org/10.1149/1945-7111/acaa5b

State of Charge (SOC) estimation is the focus of battery management systems, and it is critical to accurately estimate battery SOC in complex operating environments. To weaken the impact of unreasonable forgetting factor values on parameter estimatio... Read More about Online parameter identification and state of charge estimation of lithium-ion batteries based on improved artificial fish swarms forgetting factor least squares and differential evolution extended Kalman filter..

A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation. (2022)
Journal Article
XIONG, R., WANG, S., YU, C., FERNANDEZ, C., XIAO, W. and JIA, J. 2023. A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation. Journal of energy storage [online], 59, article 106484. Available from: https://doi.org/10.1016/j.est.2022.106484

With the rapid development of electric energy storage, more and more attention has been paid to the accurate construction of energy storage lithium-ion battery (LIB) model and the efficient monitoring of battery states. Based on this requirement, a s... Read More about A novel nonlinear decreasing step-bacterial foraging optimization algorithm and simulated annealing-back propagation model for long-term battery state of health estimation..

An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation. (2022)
Journal Article
HAO, X., WANG, S., FAN, Y., XIE, Y. and FERNANDEZ, C. 2023. An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation. Journal of energy storage [online], 59, article 106478. Available from: https://doi.org/10.1016/j.est.2022.106478

As an indispensable part of the battery management system, accurately predicting the estimation of the state of charge (SOC) has attracted more attention, which can improve the efficiency of battery use and ensure its safety performance. Taking the t... Read More about An improved forgetting factor recursive least square and unscented particle filtering algorithm for accurate lithium-ion battery state of charge estimation..

Past, present, and future perspectives of plasminogen activator inhibitor 1 (PAI-1). (2022)
Journal Article
MORROW, G.B. and MUTCH, N.J. 2023. Past, present, and future perspectives of plasminogen activator inhibitor 1 (PAI-1). Seminars in thrombosis and hemostasis [online], 49(3), pages 305-313. Available from: https://doi.org/10.1055/s-0042-1758791

Plasminogen activator inhibitor 1 (PAI-1), a SERPIN inhibitor, is primarily known for its regulation of fibrinolysis. However, it is now known that this inhibitor functions and contributes to many (patho)physiological processes including inflammation... Read More about Past, present, and future perspectives of plasminogen activator inhibitor 1 (PAI-1)..

A scoping review of non-professional medication practices and medication safety outcomes during public health emergencies. (2022)
Journal Article
KELLY, D., KOAY, A., MINEVA, G., VOLZ, M., MCCOOL, A., MCLOUGHLIN, E., Ó CONLUAIN, R., SHARMA, M., KERR, A., FRANKLIN, B.D. and GRIMES, T. 2022. A scoping review of non-professional medication practices and medication safety outcomes during public health emergencies. Public health [online], 214, pages 50-60. Available from: https://doi.org/10.1016/j.puhe.2022.10.026

Public health emergencies (PHE) can disrupt personal medication practices and increase the risk of medication-related harm and other negative medication-related outcomes. Our aim was to examine the extent and nature of published research on this topi... Read More about A scoping review of non-professional medication practices and medication safety outcomes during public health emergencies..

The role of rs713041 glutathione peroxidase 4 (GPX4) single nucleotide polymorphism on disease susceptibility in humans: a systematic review and meta-analysis. (2022)
Journal Article
BARBOSA, P., ABO EL-MAGD, N.F., HESKETH, J. and BERMANO, G. 2022. The role of rs713041 glutathione peroxidase 4 (GPX4) single nucleotide polymorphism on disease susceptibility in humans: a systematic review and meta-analysis. International journal of molecular sciences [online], 23(24), article 15762. Available from: https://doi.org/10.3390/ijms232415762

The single-nucleotide polymorphism (SNP) rs713041, located in the regulatory region, is required to incorporate selenium into the selenoprotein glutathione peroxidase 4 (GPX4) and has been found to have functional consequences. This systematic review... Read More about The role of rs713041 glutathione peroxidase 4 (GPX4) single nucleotide polymorphism on disease susceptibility in humans: a systematic review and meta-analysis..

An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries. (2022)
Journal Article
GAO, H., WANG, S., QIAO, J., YANG, X. and FERNANDEZ, C. 2022. An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries. Journal of The Electrochemical Society [online], 169(12), article 120502. Available from: https://doi.org/10.1149/1945-7111/aca6a2

Establishing a capacity degradation model accurately and predicting the remaining useful life of lithium-ion batteries scientifically are of great significance for ensuring safety and reliability throughout the batteries' whole life cycle. Aiming at... Read More about An improved weighting coefficient optimization-particle filtering algorithm based on Gaussian degradation model for remaining useful life prediction of lithium-ion batteries..

Pharmacy students' experience of technology-enhanced learning during the COVID-19 pandemic. (2022)
Journal Article
DURAND, E., KERR, A., KAVANAGH, O., CROWLEY, E., BUCHANAN, B. and BERMINGHAM, M. 2023. Pharmacy students' experience of technology-enhanced learning during the COVID-19 pandemic. Exploratory research in clinical and social pharmacy [online], 9, article 100206. Available from: https://doi.org/10.1016/j.rcsop.2022.100206

With the advent of the COVID-19 pandemic, pharmacy students and educators experienced an abrupt shift as programmes that were previously taught exclusively in-person were then predominantly taught online. This sudden change provided little time for s... Read More about Pharmacy students' experience of technology-enhanced learning during the COVID-19 pandemic..

A bench-scale electrochemical peroxidation reactor performance on removal of organic pollutants from tannery industrial wastewater. (2022)
Journal Article
GOPAL, S., SOMANATHAN, A., JEYAKUMAR, R. and FERNANDEZ, C. 2022. A bench-scale electrochemical peroxidation reactor performance on removal of organic pollutants from tannery industrial wastewater. Desalination and water treatment [online], 277, pages 120-135. Available from: https://doi.org/10.5004/dwt.2022.29039

The aim of this study is to evaluate the performance of a novel laboratory scale electrochemical peroxidation (ECP) reactor using iron (Fe) electrodes (anode and cathode) for treatment of tannery wastewater. In order to minimize operating cost, the e... Read More about A bench-scale electrochemical peroxidation reactor performance on removal of organic pollutants from tannery industrial wastewater..

A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. (2022)
Journal Article
QIAO, J., WANG, S., YU, C., YANG, X. and FERNANDEZ, C. 2022. A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance. Energy [online], 263(Part E), article 126164. Available from: https://doi.org/10.1016/j.energy.2022.126164

In this research, a novel dynamic migration model is proposed, which can better describe the dynamic characteristics of the lithium-ion batteries under different aging states by adjusting the battery parameters in real-time. A novel chaotic firefly -... Read More about A chaotic firefly-particle filtering method of dynamic migration modeling for the state-of-charge and state-of-health co-estimation of a lithium-ion battery performance..

Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. (2022)
Journal Article
CAO, J., WANG, S., XIE, Y. and FERNANDEZ, C. 2023. Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. International journal of circuit theory and applications [online], 51(4), pages 1902-1917. Available from: https://doi.org/10.1002/cta.3500/

Because of the common data redundancy phenomenon in the current least-squares parameter identification algorithm and the complex offline parameter identification process, this research innovatively proposes a Limited Memory Multi-Innovation Least Squ... Read More about Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model..

Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries. (2022)
Journal Article
ZHANG, C., WANG, S., YU, C., XIE, Y. and FERNANDEZ, C. 2022. Novel improved particle swarm optimization-extreme learning algorithm for state of charge estimation of lithium-ion batteries. Industrial and engineering chemistry research [online], 61(46), pages 17209-17217. Available from: https://doi.org/10.1021/acs.iecr.2c02476

Incisively estimating the state of charge (SOC) of lithium-ion batteries is essential to ensure the safe and stable operation of a battery management system. Neural network methods do not depend on a specific lithium-ion battery model and are able to... Read More about Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries..

An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. (2022)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., YANG, X. and FERNANDEZ, C. 2022. An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Applied energy [online], 326, article 120043. Available from: https://doi.org/10.1016/j.apenergy.2022.120043

Accurate state of charge (SOC) estimation at different operating temperatures is essential for the reliable and safe operation of battery management systems (BMS) for lithium-ion batteries in electric vehicles (EVs). In this paper, an optimized long-... Read More about An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries..

Addressing social determinants of health in the wake of the COVID-19 pandemic: urgent need to consider policy and practice in relation to pharmacy's contribution. (2022)
Journal Article
CUNNINGHAM, S., JEBARA, T. and DOUGLAS, F. 2022. Addressing social determinants of health in the wake of the COVID-19 pandemic: urgent need to consider policy and practice in relation to pharmacy's contribution. International journal of pharmacy practice [online], 30(5), pages 401-403. Available from: https://doi.org/10.1093/ijpp/riac072

World Health Organization reports highlight health inequalities and social determinants of health (SDoH), and the need for their consideration in strategic health plans. The coronavirus pandemic has exacerbated these issues and government imposed COV... Read More about Addressing social determinants of health in the wake of the COVID-19 pandemic: urgent need to consider policy and practice in relation to pharmacy's contribution..

The suboptimal fibrinolytic response in COVID-19 is dictated by high PAI-1. (2022)
Journal Article
WHYTE, C.S., SIMPSON, M., MORROW, G.B., WALLACE, C.A., MENTZER, A.J., KNIGHT, J.C., SHAPIRO, S., CURRY, N., BAGOT, C.N., WATSON, H., COOPER, J.G. and MUTCH, N.J. 2022. The suboptimal fibrinolytic response in COVID-19 is dictated by high PAI-1. Journal of thrombosis and haemostasis [online], 20(10), pages 2394-2406. Available from: https://doi.org/10.1111/jth.15806

Severe COVID-19 disease is associated with thrombotic complications and extensive fibrin deposition. This study investigates whether the hemostatic complications in COVID-19 disease arise due to dysregulation of the fibrinolytic system. This prospect... Read More about The suboptimal fibrinolytic response in COVID-19 is dictated by high PAI-1..

Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study. (2022)
Journal Article
PESTANA, C.J., SANTOS, A.A., CAPELO-NETO, J. et al. 2022. Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study. Water research [online], 226, article 119299. Available from: https://doi.org/10.1016/j.watres.2022.119299

Cyanobacteria and their toxic secondary metabolites present challenges for water treatment globally. In this study we have assessed TiO2 immobilized onto recycled foamed glass beads by a facile calcination method, combined in treatment units with 365... Read More about Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study..

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. (2022)
Journal Article
WANG, S., FAN, Y., JIN, S., TAKYI-ANINAKWA, P. and FERNANDEZ, C. 2023. Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. Reliability engineering and system safety [online], 230, article 108920. Available from: https://doi.org/10.1016/j.ress.2022.108920

Safety assurance is essential for lithium-ion batteries in power supply fields, and the remaining useful life (RUL) prediction serves as one of the fundamental criteria for the performance evaluation of energy and storage systems. Based on an improve... Read More about Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries..

A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries. (2022)
Journal Article
REN, P., WANG, S., CHEN, X., ZHOU, H., FERNANDEZ, C. and STROE, D.-I. 2022. A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries. Electrochimica Acta [online], 435, article 141404. Available from: https://doi.org/10.1016/j.electacta.2022.141404

State of health evaluation of lithium-ion batteries has become a significant research direction in related fields attributed to the crucial impact on the reliability and safety of electric vehicles. In this research, a dynamic adaptive cuckoo search... Read More about A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries..

Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review. (2022)
Journal Article
JIN, M., LIU, J., YU, J., ZHOU, Q., WU, W., FU, L., YIN, C., FERNANDEZ, C. and KARIMI-MALEH, H. 2022. Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review. Science progress [online], 105(4), pages 1-22. Available from: https://doi.org/10.1177/003685042211321

Microplastics have been considered a new type of pollutant in the marine environment and have attracted widespread attention worldwide in recent years. Plastic particles with particle size less than 5 mm are usually defined as microplastics. Because... Read More about Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review..