All Outputs (833)

Improved fractional-order hysteresis-equivalent circuit modeling for the online adaptive high-precision state of charge prediction of urban-electric-bus lithium-ion batteries. (2023)
Journal Article
ZENG, J., WANG, S., CAO, W., ZHANG, M., FERNANDEZ, C. and GUERRERO, J.M. 2023. Improved fractional-order hysteresis-equivalent circuit modeling for the online adaptive high-precision state of charge prediction of urban-electric-bus lithium-ion batteries. International journal of circuit theory and application [online], Early View. Available from: https://doi.org/10.1002/cta.3767

Accurate state of charge (SOC) estimation is based on a precise battery model and is the focus of the battery management system (BMS). First, based on the second-order RC equivalent circuit model and Grunwald-Letnikov (G-L) definition, the high-preci... Read More about Improved fractional-order hysteresis-equivalent circuit modeling for the online adaptive high-precision state of charge prediction of urban-electric-bus lithium-ion batteries..

A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries. (2023)
Journal Article
ZHANG, C., WANG, S., YU, C., WANG, Y. and FERNANDEZ, C. 2023. A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries. Ionics [online], 29(10), pages 4337-4349. Available from: https://doi.org/10.1007/s11581-023-05152-2

The real-time prediction of the remaining useful life (RUL) of lithium-ion batteries provides an effective mean of preventing accidents. An improved adaptive noise-reduction deep learning method is applied to achieve adaptive noise-reduction decompos... Read More about A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries..

Hepatic insulin resistance and related obesity: highlighting the ameliorative role of nutraceuticals, dietary intervention, and pharmaceuticals. (2023)
Journal Article
RAMADAN, N.M., BARBOSA, P.O., ABO EL-MAGD, E.F., ERAKY, S.M. and AL-GAYYAR, M.M.H. 2023. Hepatic insulin resistance and related obesity: highlighting the ameliorative role of nutraceuticals, dietary intervention, and pharmaceuticals. Frontiers in Pharmacology [online], 14, article 1266168. Available from: https://doi.org/10.3389/fphar.2023.1266168

Insulin resistance (IR) is the unifying denominator of all obesity-related metabolic abnormalities. It possesses a definite higher risk of developing type 2 diabetes mellitus and non-alcoholic fatty liver disease (NAFLD). NAFLD is intimately linked t... Read More about Hepatic insulin resistance and related obesity: highlighting the ameliorative role of nutraceuticals, dietary intervention, and pharmaceuticals..

Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations. (2023)
Journal Article
WANG, S., WU, F., TAKYI-ANINAKWA, P., FERNANDEZ, C., STROE, D.-I. and HUANG, Q. 2023. Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations. Energy [online], 284, article 128677. Available from: https://doi.org/10.1016/j.energy.2023.128677

For the development of low-temperature power systems in aviation, the transport synergistic carrier optimization of lithium-ions and electrons is conducted to improve the low-temperature adaptability of lithium-ion batteries. In this paper, an improv... Read More about Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations..

Implementation of the national antimicrobial stewardship competencies for UK undergraduate healthcare professional education within undergraduate pharmacy programmes: a survey of UK schools of pharmacy. (2023)
Journal Article
HAMILTON, R.A., COURTENAY, M., FROST, K.J., HARRISON, R., ROOT, H., ALLISON, D.G., TONNA, A.P., ASHIRU-OREDOPE, D., ALDEYAB, M.A., SHEMILT, K. and MARTIN, S.J. 2023. Implementation of the national antimicrobial stewardship competencies for UK undergraduate healthcare professional education within undergraduate pharmacy programmes: a survey of UK schools of pharmacy. JAC-antimicrobial resistance [online], 5(4), article dlad095. Available from: https://doi.org/10.1093/jacamr/dlad095

Pharmacists play a key role in antimicrobial stewardship (AMS). Consensus-based national AMS competencies for undergraduate healthcare professionals in the UK reflect the increasing emphasis on competency-based healthcare professional education. Howe... Read More about Implementation of the national antimicrobial stewardship competencies for UK undergraduate healthcare professional education within undergraduate pharmacy programmes: a survey of UK schools of pharmacy..

High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering. (2023)
Journal Article
ZHOU, J., WANG, S., CAO, W., XIE, Y. and FERNANDEZ, C. 2023. High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering. Journal of solid state electrochemistry [online], 27(12), pages 3293-3306. Available from: https://doi.org/10.1007/s10008-023-05594-8

Accurate online estimation of the state of charge (SOC) and state of energy (SOE) of lithium-ion batteries are essential for efficient and reliable energy management of new energy electric vehicles (EVs). To improve the accuracy and stability of the... Read More about High-precision joint estimation of the state of charge and state of energy for new energy electric vehicle lithium-ion batteries based on improved singular value decomposition-adaptive embedded cubature Kalman filtering..

Microstructure and corrosion resistance of ultrahigh pressure Mg-8Li based alloys. (2023)
Journal Article
YANG, M., FENG, J., HU, H., NIU, T., GAO, W., ZOU, G., FERNANDEZ, C., REN, L. and PENG, Q. 2023. Microstructure and corrosion resistance of ultrahigh pressure Mg-8Li based alloys. Journal of alloys and compounds [online], 966, article ID 171543. Available from: https://doi.org/10.1016/j.jallcom.2023.171543

High anti-corrosion Mg alloys is desirable to expand their industrial applications. Herein we report an outstanding corrosion resistance of dual-phase Mg-8Li-Y alloy using ultrahigh pressure (UHP) technology. The average corrosion rate is ~0.47 mm/y,... Read More about Microstructure and corrosion resistance of ultrahigh pressure Mg-8Li based alloys..

An improved comprehensive learning: particle swarm optimization: extended Kalman filtering method for the online high-precision state of charge and model parameter co-estimation of lithium-ion batteries. (2023)
Journal Article
SHEN, X., WANG, S., YU, C., QI, C., LI, Z. and FERNANDEZ, C. 2023. An improved comprehensive learning: particle swarm optimization: extended Kalman filtering method for the online high-precision state of charge and model parameter co-estimation of lithium-ion batteries. Journal of The Electrochemical Society [online], 170(7), article 070522. Available from: https://doi.org/10.1149/1945-7111/ace555

The precise assessment of the state of charge (SOC) of lithium-ion batteries (LIBs) is critical in battery management systems. This work offers a comprehensive learning particle swarm optimization (CLPSO) and extended Kalman filter (EKF) technique to... Read More about An improved comprehensive learning: particle swarm optimization: extended Kalman filtering method for the online high-precision state of charge and model parameter co-estimation of lithium-ion batteries..

A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. (2023)
Journal Article
WANG, J., GAO, Y., LIU, D., ZOU, G., LI, L., FERNANDEZ, C., ZHANG, Q., and PENG, Q. 2023. A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. Advanced materials [online], Accepted Articles, e2304942. Available from: https://doi.org/10.1002/adma.202304942

Sodium (Na) batteries are being considered as prospective candidates for the next generation of secondary batteries in contrast to lithium-based batteries, due to their high raw material abundance, low cost, and sustainability. However, the unfavorab... Read More about A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries..

An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation. (2023)
Journal Article
HAO, X., WANG, S., FAN, Y., LIANG, Y., WANG, Y. and FERNANDEZ, C. 2023. An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation. Journal of The Electrochemical Society [online], 170(7), article 070507. Available from: https://doi.org/10.1149/1945-7111/acdf8a

Accurate prediction of the remaining range remains a challenge for electric vehicles. The state of energy (SOE) is a state parameter representing the remaining mileage and remaining charge of a lithium-ion battery, which is related to the prediction... Read More about An improved compression factor particle swarm optimization-unscented particle filter algorithm for accurate lithium-ion battery state of energy estimation..

A qualitative exploration of chronic pain management of older adults in remote and rural settings. (2023)
Journal Article
JEBARA, T., YOUNGSON, E., DRUMMOND, N., RUSHWORTH, G., PFLEGER, S., RUDD, I., MACLEOD, J., WILSON, M., BAILEY, N. and CUNNINGHAM, S. 2023. A qualitative exploration of chronic pain management of older adults in remote and rural settings. International journal of clinical pharmacy [online], 45(6), pages 1405-1414. Available from: https://doi.org/10.1007/s11096-023-01607-8

The World Health Organization predicts that the number of older adults will nearly double between 2015 and 2050. Older adults are at a higher risk of developing medical conditions such as chronic pain. However, there is little information about chron... Read More about A qualitative exploration of chronic pain management of older adults in remote and rural settings..

An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., LI, H., YANG, X. and FERNANDEZ, C. 2023. An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries. Journal of energy storage [online], 70, article 108098. Available from: https://doi.org/10.1016/j.est.2023.108098

Safe and reliable operations of lithium-ion batteries in electric vehicles (EVs), etc., highly depend on the accurate state of charge (SOC) estimated by the battery management system (BMS). However, due to the battery's nonlinear operating conditions... Read More about An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries..

State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature. (2023)
Journal Article
LIU, D., WANG, S., FAN, Y., LIANG, Y., FERNANDEZ, C., STROE, D.I. 2023. State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature. Journal of energy storage [online], 70, article 108040. Available from: https://doi.org/10.1016/j.est.2023.108040

As the main energy storage component of electric vehicles (EV), lithium-ion battery state estimation is an essential part of the battery management system (BMS). State of Energy (SOE) is one of the important state parameters, and its accurate estimat... Read More about State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature..

High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering. (2023)
Journal Article
YANG, J., WANG, S., CHEN, L., QIAO, J., FERNANDEZ, C. and GUERRERO, J.M. 2023. High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering. Journal of The Electrochemical Society [online], 170(6), article 060527. Available from: https://doi.org/10.1149/1945-7111/acd815

Accurate state of charge (SOC) estimation is an important basis for battery energy management and the applications of lithium-ion batteries. In this paper, an improved compression factor particle swarm optimization-forgetting factor recursive least s... Read More about High-precision state of charge estimation of lithium-ion batteries based on joint compression factor particle swarm optimization-forgetting factor recursive least square-adaptive extended Kalman filtering..

An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. (2023)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., JIN, S., LIU, K. and FERNANDEZ, C. 2023. An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. Journal of energy storage [online], 70, article 108038. Available from: https://doi.org/10.1016/j.est.2023.108038

Capacity estimation plays a significant role in ensuring safe and acceptable energy delivery, especially under real-time complex working conditions for whole-life-cycle lithium-ion batteries. For high-precision and robust capacity estimation, an impr... Read More about An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics..

The ferroelectric nematic phase: on the role of lateral alkyloxy chains. (2023)
Journal Article
CRUICKSHANK, E., PEARSON, A., BROWN, S., STOREY, J.M.D., IMRIE, C.T. and WALKER, R. 2023. The ferroelectric nematic phase: on the role of lateral alkyloxy chains. Liquid crystals [online], Latest Articles. Available from: https://doi.org/10.1080/02678292.2023.2221651

The synthesis and characterisation of the 4-({[4’-nitro-(1,1'-biphenyl)−4-yl]oxy}carbonyl)phenyl 2-alkoxy-4-methoxybenzoates are reported: the 1O(m-On)PEPEBNO2 series. These materials include an additional phenyl ring compared to the extensively stud... Read More about The ferroelectric nematic phase: on the role of lateral alkyloxy chains..

Platelet factor XIII-A regulates platelet function and promotes clot retraction and stability. (2023)
Journal Article
MITCHELL, J.L., LITTLE, G., BYE, A.P. et al. 2023. Platelet factor XIII-A regulates platelet function and promotes clot retraction and stability. Research and practice in thrombosis and haemostasis [online], 7(5), article 100200. Available from: https://doi.org/10.1016/j.rpth.2023.100200

Factor XIII (FXIII) is an important proenzyme in the hemostatic system. The plasma-derived enzyme activated FXIII cross-links fibrin fibers within thrombi to increase their mechanical strength and cross-links fibrin to fibrinolytic inhibitors, specif... Read More about Platelet factor XIII-A regulates platelet function and promotes clot retraction and stability..

Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. (2023)
Journal Article
ZHANG, M., WANG, S., XIE, Y., YANG, X., HAO, X. and FERNANDEZ, C. 2023. Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. Ionics [online], 29(9), pages 3597-3607. Available from: https://doi.org/10.1007/s11581-023-05072-1

The prediction of remaining useful life (RUL) of lithium-ion batteries takes a critical effect in the battery management system, and precise prediction of RUL guarantees the secure and reliable functioning of batteries. For the difficult problem of s... Read More about Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries..

Evaluation of community pharmacists' awareness towards Middle East respiratory syndrome: a simulated client method. (2023)
Journal Article
SOLIMAN, A.B., TALKHAN, H.A., IBRAHIM, M.I.M. and SHALASH, A.A. 2023. Evaluation of community pharmacists' awareness towards Middle East respiratory syndrome: a simulated client method. Journal of clinical and diagnostic research [online] 17(6), pages IC01-IC05. Available from: https://doi.org/10.7860/jcdr/2023/62030.18022

Middle East Respiratory Syndrome (MERS) is a viral respiratory disease caused by a coronavirus variant in the Arabian Peninsula. There is a lack of information regarding awareness and practices of community pharmacists in Qatar for this contagious di... Read More about Evaluation of community pharmacists' awareness towards Middle East respiratory syndrome: a simulated client method..

Investigation of wave propagation pattern in a multilayer planar structure. (2023)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C. and FAISAL, N.H. 2023. Investigation of wave propagation pattern in a multilayer planar structure. e-Journal of nondestructive testing [online], Special Issue NDE-Nuclear-2023: proceedings of the 2nd Non-destructive examination in nuclear international conference (NDE in Nuclear 2023), 27-29 June 2023, Sheffield, UK, article number 28270. Available from: https://www.ndt.net/search/docs.php3?id=28270

Acoustic emission (AE) is used to monitor conditions of various structures across many industrial sectors, including containment vessels or storage tanks of nuclear materials. Periodic monitoring, inspection and analysis of structure conditions can h... Read More about Investigation of wave propagation pattern in a multilayer planar structure..