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Improved joint prediction strategy for state of charge and peak power of lithium-ion batteries by considering hysteresis characteristics-current measurement deviation correction. (2024)
Journal Article
QI, C., WANG, S., CAO, W., WANG, Y., LIU, D. and FERNANDEZ, C. 2024. Improved joint prediction strategy for state of charge and peak power of lithium-ion batteries by considering hysteresis characteristics-current measurement deviation correction. Journal of energy storage [online], 84(part A), article number 110726. Available from: https://doi.org/10.1016/j.est.2024.110726

The peak power and state of charge of lithium-ion batteries are closely related to the safety of electric vehicles. Accurate peak power and state of charge prediction can extend battery life while ensuring safe driving. In this paper, a modeling stra... Read More about Improved joint prediction strategy for state of charge and peak power of lithium-ion batteries by considering hysteresis characteristics-current measurement deviation correction..

N-decorated main-group MgAl2O4 spinel: unlocking exceptional oxygen reduction activity for Zn-air batteries. (2024)
Journal Article
ZHAO, X., WU, F., HU, H., LI, J., SUN, Y., WANG, J., ZOU, G., CHEN, X., WANG, Y., FERNANDEZ, C. and PENG, Q. 2024. N-decorated main-group MgAl2O4 spinel: unlocking exceptional oxygen reduction activity for Zn-air batteries. Small [online], Early View, article number 2311268. Available from: https://doi.org/10.1002/smll.202311268

The development of economical and efficient oxygen reduction reaction (ORR) catalysts is crucial to accelerate the widespread application rhythm of aqueous rechargeable zinc-air batteries (ZABs). Here, a strategy is reported that the modification of... Read More about N-decorated main-group MgAl2O4 spinel: unlocking exceptional oxygen reduction activity for Zn-air batteries..

Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries. (2024)
Journal Article
XIONG, R., WANG, S., HUANG, Q., YU, C., FERNANDEZ, C., XIAO, W., JIA, J. and GUERRERO, J.M. 2024. Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries. Energy [online], 292, article number 130594. Available from: https://doi.org/10.1016/j.energy.2024.130594

At present, the accurate establishment of the battery model and the effective state of health (SOH) estimation under actual energy storage conditions have become the main problems in new energy storage stations. Therefore, a SOH estimation method bas... Read More about Improved cooperative competitive particle swarm optimization and nonlinear coefficient temperature decreasing simulated annealing-back propagation methods for state of health estimation of energy storage batteries..

Pharmacological inhibition of acetylcholinesterase improves the locomotion defective phenotype of a SCA3 C. elegans model. (2024)
Journal Article
POHL, F., LINDSAY-MCGEE, V., KONG THOO LIN, P., MACIEL, P. AND TEIXEIRA-CASTRO, A. 2024. Pharmacological inhibition of acetylcholinesterase improves the locomotion defective phenotype of a SCA3 C. elegans model. microPublication biology [online], 2024(2), 001086. Available from: https://doi.org/10.17912/micropub.biology.001086

Inhibition of acetylcholinesterase (AChE) is a common used treatment option for Alzheimer's disease. However, there has been limited research on the potential use of AChE inhibitors for the treatment of Machado-Joseph disease (MJD)/Spinocerebellar At... Read More about Pharmacological inhibition of acetylcholinesterase improves the locomotion defective phenotype of a SCA3 C. elegans model..

Antimicrobial stewardship: a potential role for pharmacists in all settings. (2024)
Presentation / Conference
TONNA, A. 2024. Antimicrobial stewardship: a potential role for pharmacists in all settings. Presented at 2024 European Society of Clinical Pharmacy (ESCP) CPD webinar, 06 February 2024, [virtual event].

The overall aim of the webinar is to familiarize participants with the potential role of pharmacists to support antimicrobial stewardship in different practice settings. After the webinar, participants should be able to a) to provide an overview of p... Read More about Antimicrobial stewardship: a potential role for pharmacists in all settings..

High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. (2024)
Journal Article
ZHOU, L., NIU, T., ZOU, G., SU, H., HE, S., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2024. High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. Journal of magnesium and alloys [online], In Press. Available from: https://doi.org/10.1016/j.jma.2024.01.015

Magnesium alloys with high strength in combination of good ductility are especially desirable for applications in transportation, aerospace and bio-implants owing to their high stiffness, abundant raw materials, and environmental friendliness. Howeve... Read More about High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin..

High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset] (2024)
Dataset
ZHOU, L., NIU, T., ZOU, G., SU, H., HE, S., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2024. High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset]. Journal of magnesium and alloys [online], In Press. Available from: http://tinyurl.com/bdh3kb39

Magnesium alloys with high strength in combination of good ductility are especially desirable for applications in transportation, aerospace and bio-implants owing to their high stiffness, abundant raw materials, and environmental friendliness. Howeve... Read More about High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. [Dataset].

The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. [Dataset] (2024)
Dataset
CRUICKSHANK, E., TUFAHA, N., WALKER, R., BROWN, S., GORECKA, E., POCIECHA, D., STOREY, J.M.D. and IMRIE, C.T. The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. [Dataset]. Liquid crystals [online], Latest Articles. Available from: https://doi.org/10.1080/02678292.2024.2304598

The synthesis and characterisation of two series of ferroelectric nematogens based on RM734 having an additional methoxy group on the central phenyl ring are reported, the 3-methoxy-4-((4-nitrophenoxy)carbonyl)phenyl 2-alkoxy-4-alkoxybenzoates (7-m-n... Read More about The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. [Dataset].

The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. (2024)
Journal Article
CRUICKSHANK, E., TUFAHA, N., WALKER, R., BROWN, S., GORECKA, E., POCIECHA, D., STOREY, J.M.D. and IMRIE, C.T. The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. Liquid crystals [online], Latest Articles. Available from: https://doi.org/10.1080/02678292.2024.2304598

The synthesis and characterisation of two series of ferroelectric nematogens based on RM734 having an additional methoxy group on the central phenyl ring are reported, the 3-methoxy-4-((4-nitrophenoxy)carbonyl)phenyl 2-alkoxy-4-alkoxybenzoates (7-m-n... Read More about The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase..

An improved convolutional neural network-bidirectional gated recurrent unit algorithm for robust state of charge and state of energy estimation of new energy vehicles of lithium-ion batteries. (2024)
Journal Article
WU, F., WANG, S., LIU, D., CAO, W., FERNANDEZ, C. and HUANG, Q. 2024. An improved convolutional neural network-bidirectional gated recurrent unit algorithm for robust state of charge and state of energy estimation of new energy vehicles of lithium-ion batteries. Journal of energy storage [online], 82, article 110574. Available from: https://doi.org/10.1016/j.est.2024.110574

State of charge (SOC) and state of energy (SOE) are the key factors that reflect the safe and range driving of new energy vehicles. This paper proposes an optimized convolutional neural network-bidirectional gate recurrent unit (CNN-BiGRU) and an imp... Read More about An improved convolutional neural network-bidirectional gated recurrent unit algorithm for robust state of charge and state of energy estimation of new energy vehicles of lithium-ion batteries..

A hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction. (2024)
Journal Article
CHEN, Y., DUAN, W., HE, Y., WANG, S. and FERNANDEZ, C. 2024. A hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction. Green energy and intelligent transportation [online], In Press, article number 100160. Available from: https://doi.org/10.1016/j.geits.2024.100160

Battery life prediction is of great significance to the safe operation, and the maintenance costs are reduced. This paper proposed a hybrid framework considering feature extraction to solve the problem of data backward, large sample data and uneven d... Read More about A hybrid data driven framework considering feature extraction for battery state of health estimation and remaining useful life prediction..

State of health prediction of lithium-ion batteries using combined machine learning model based on nonlinear constraint optimization. (2024)
Journal Article
LIANG, Y., WANG, S., FAN, Y., HAO, X., LIU, D. and FERNANDEZ, C. 2024. State of health prediction of lithium-ion batteries using combined machine learning model based on nonlinear constraint optimization. Journal of the Electrochemical Society [online], 171(1), article number 010508. Available from: https://doi.org/10.1149/1945-7111/ad18e1

Accurate State of Health (SOH) estimation of battery systems is critical to vehicle operation safety. However, it's difficult to guarantee the performance of a single model due to the unstable quality of raw data obtained from lithium-ion battery agi... Read More about State of health prediction of lithium-ion batteries using combined machine learning model based on nonlinear constraint optimization..

Transport of nanoparticles in porous media and associated environmental impact: a review. (2024)
Journal Article
YUSUF, E.O., AMBER, I., OFFICER, S. and OLUYEMI, G.F. 2024. Transport of nanoparticles in porous media and associated environmental impact: a review. Journal of engineering research [online], In Press. Available from: https://doi.org/10.1016/j.jer.2024.01.006

The release of nanoparticles into the environment occurs at different stages during their life cycle, with significant harmful effects on the human (e.g., lung inflammation and heart problems) and the ecosystem (e.g., soil and groundwater contaminati... Read More about Transport of nanoparticles in porous media and associated environmental impact: a review..

Targeted multi-analyte UHPLC-MS/MS methodology for emerging contaminants in septic tank wastewater, sludge and receiving surface water. (2024)
Journal Article
WILSCHNACK, M., HOMER, B., CARTMELL, E., YATES, K. and PETRIE, B. 2024. Targeted multi-analyte UHPLC-MS/MS methodology for emerging contaminants in septic tank wastewater, sludge and receiving surface water. Analytical methods [online], Advanced Articles. Available from: https://doi.org/10.1039/D3AY01201H

Septic tanks treat wastewater of individual houses and small communities (up to 2000 people in Scotland) in rural and semi-urban areas and are understudied sources of surface water contamination. A multi-analyte methodology with solid phase extractio... Read More about Targeted multi-analyte UHPLC-MS/MS methodology for emerging contaminants in septic tank wastewater, sludge and receiving surface water..

Overcoming CD spectroscopy sample preparation challenges in protein structural analysis for biosimilars. (2024)
Working Paper
AGBELUSI, T., PANCHOLI, K., KUMAR, H.S. and KUMAR, A. 2024. Overcoming CD spectroscopy sample preparation challenges in protein structural analysis for biosimilars. Preprints [online. Available from: https://doi.org/10.20944/preprints202401.0441.v1

Circular dichroism (CD) spectroscopy is a valuable tool in the pharmaceutical industry for determining the secondary and tertiary structure, folding, stability, and interactions of proteins in biosimilars. However, protein aggregation due to its inte... Read More about Overcoming CD spectroscopy sample preparation challenges in protein structural analysis for biosimilars..

Application of behavioural theories, models, and frameworks in pharmacy practice research based on published evidence: a scoping review. (2024)
Journal Article
NAZAR, Z., NASERALALLAH, L.M., STEWART, D., PAUDYAL, V. SHAFEI, L. and WEIDMANN, A. 2024. Application of behavioural theories, models, and frameworks in pharmacy practice research based on published evidence: a scoping review. International journal of clinical pharmacy [online], Latest Articles. Available from: https://doi.org/10.1007/s11096-023-01674-x

Pharmacy practice research often focuses on the design, implementation and evaluation of pharmacy services and interventions. The use of behavioural theory in intervention research allows understanding of interventions’ mechanisms of action and are m... Read More about Application of behavioural theories, models, and frameworks in pharmacy practice research based on published evidence: a scoping review..

Exploring determinants of antimicrobial prescribing behaviour using the theoretical domains framework. (2024)
Journal Article
TALKHAN, H., STEWART, D., MCINTOSH, T., ZIGLAM, H., ABDULROUF, P.V., AL-HAIL, M., DIAB, M. and CUNNINGHAM, S. [2024]. Exploring determinants of antimicrobial prescribing behaviour using the theoretical domains framework. Research in social and administrative pharmacy [online], Articles in Press. Available from: https://doi.org/10.1016/j.sapharm.2023.12.009

Few theoretically-based, qualitative studies have explored determinants of antimicrobial prescribing behaviour in hospitals. Understanding these can promote successful development and implementation of behaviour change interventions (BCIs). To use th... Read More about Exploring determinants of antimicrobial prescribing behaviour using the theoretical domains framework..

Indium tin oxide thin film preparation and property relationship for humidity sensing: a review. (2024)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C., SUJATHA, D., PANDA, S.K. and FAISAL, N.H. [2024]. Indium tin oxide thin film preparation and property relationship for humidity sensing: a review. Engineering reports [online], Early View. Available from: https://doi.org/10.1002/eng2.12836

This review aims to present a critical overview of indium tin oxide (ITO) thin film preparation methods, structure–property relationship and its application in humidity sensing. A range of passive and active humidity sensors with thin films (based on... Read More about Indium tin oxide thin film preparation and property relationship for humidity sensing: a review..

Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms. (2023)
Conference Proceeding
FOUGH, F., JANJUA, G., ZHAO, Y. and DON, A.W. 2023. Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms. In Proceedings of the 2023 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea (MetroSea 2023); learning to measure sea health parameters, 4-6 October 2023, La Valletta, Malta. Piscataway: IEEE [online], pages 121-126. Available from: https://doi.org/10.1109/MetroSea58055.2023.10317294

Antimicrobial resistance (AMR) is an increasingly critical public health issue necessitating precise and efficient methodologies to achieve prompt results. The accurate and early detection of AMR is crucial, as its absence can pose life-threatening r... Read More about Predicting and identifying antimicrobial resistance in the marine environment using AI and machine learning algorithms..

A reflection on: preparing the dietetic workforce of the future: developing innovative placements in social care settings. (2023)
Journal Article
MACKENZIE, M. and NEWMAN, E. 2023. A reflection on: preparing the dietetic workforce of the future: developing innovative placements in social care settings. International journal of practice-based learning in health and social care [online], 11(2), pages 60-71. Available from: https://doi.org/10.18552/ijpblhsc.v11i2.1037

Looking back eight years, and reflecting on this project, we consider on our professional and personal learning. This pilot project came about because there is always pressure on practice placements in clinical practice, and we were aware of the chan... Read More about A reflection on: preparing the dietetic workforce of the future: developing innovative placements in social care settings..