Outputs (1199)

Investigating practice integration of independent prescribing by community pharmacists using normalization process theory: a cross-sectional survey. (2024)
Journal Article
KARIM, L., MCINTOSH, T., JEBARA, T., PFLEGER, D., OSPREY, A. and CUNNINGHAM, S. [2024]. Investigating practice integration of independent prescribing by community pharmacists using normalization process theory: a cross-sectional survey. International journal of clinical pharmacy [online], (accepted). To be made available from: https://doi.org/10.1007/s11096-024-01733-x

Independent prescribing (IP) has not been extensively investigated in community pharmacy (CP). Normalization Process Theory (NPT) constructs help explain how interventions are integrated into practice and include: 'coherence' (understanding), 'cognit... Read More about Investigating practice integration of independent prescribing by community pharmacists using normalization process theory: a cross-sectional survey..

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. (2024)
Journal Article
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. Journal of energy storage [online], 88, article number 111552. Available from: https://doi.org/10.1016/j.est.2024.111552

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles..

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset] (2024)
Dataset
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset]. Journal of energy storage [online], 88, article number 111552. Available from: https://www.sciencedirect.com/science/article/pii/S2352152X2401137X?via%3Dihub#s0100

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset].

A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries. (2024)
Journal Article
HAI, N., WANG, S., LIU, D., FERNANDEZ, C. and GUERRERO, J.M. 2024. A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries. Journal of energy storage [online], (accepted).

Precious estimation of state-of-charge has become a more important status to the lithium-ion batteries of electronic vehicles. Basically, a three-layer genetic algorithm based on feed forward backpropagation neural network model is established. Speci... Read More about A novel genetic weight-directed feed forward backpropagation neural network for state of charge estimation of lithium-ion batteries..

Compliance and adherence to hand hygiene practices for effective infection control. (2024)
Journal Article
SIDIKI, A.I., MOOMIN, A., LISHCHUK, A.N., ADAM, M.K., AL-ARIKI, M.K., ANANDO, V.A., BAATIEMA, L., ANGMORTEY, N.R., ADU-GYAMFI, P.K. and MENSAH, K.B. 2024. Compliance and adherence to hand hygiene practices for effective infection control. Journal of water and health [online], In Press. Available from: https://doi.org/10.2166/wh.2024.384

Hand hygiene (HH) is the most effective way to curb the spread of healthcare-associated infections. Nonetheless, healthcare personnel encounter difficulties in adhering to WHO HH recommendations. This study aimed to investigate HH compliance and adhe... Read More about Compliance and adherence to hand hygiene practices for effective infection control..

State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model. (2024)
Journal Article
ZHOU, J., WANG, S., CAO, W., XIE, Y. and FERNANDEZ, C. 2024. State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model. Electrochimica acta [online], 487, article number 144146. Available from: https://doi.org/10.1016/j.electacta.2024.144146

The accurate state of health (SOH) estimation of lithium-ion batteries (LIBs) is crucial for the operation and maintenance of new energy electric vehicles. To address this current problem, an improved hybrid neural network model for SOH prediction ba... Read More about State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model..

The emergence of a polar nematic phase: a chemist's insight into the ferroelectric nematic phase. (2024)
Journal Article
CRUICKSHANK, E. 2024. The emergence of a polar nematic phase; a chemist's insight into the ferroelectric nematic phase. ChemPlusChem [online], Early View. Available from: https://doi.org/10.1002/cplu.202300726

The discovery of a new polar nematic phase; the ferroelectric nematic, has generated a great deal of excitement in the field of liquid crystals. To date there have been around 150 materials reported exhibiting the ferroelectric nematic phase, in gene... Read More about The emergence of a polar nematic phase: a chemist's insight into the ferroelectric nematic phase..

A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation. (2024)
Journal Article
WANG, Y., WANG, S., FAN, Y., ZHANG, H., XIE, Y. and FERNANDEZ, C. 2024. A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation. Ionics [online], Online First. Available from: https://doi.org/10.1007/s11581-024-05475-8

Capacity estimation of lithium-ion batteries is significant to achieving the effective establishment of the prognostics and health management (PHM) system of lithium-ion batteries. A capacity estimation model based on the variable activation function... Read More about A novel variable activation function-long short-term memory neural network for high-precision lithium-ion battery capacity estimation..

A description of pharmacists' interventions to optimise the treatment of adults with orally available Covid-drug, Paxlovid. (2024)
Presentation / Conference
STOIBER, A., GRAY, G., SAILER, G., HUF, W. and TONNA, A. 2024. A description of pharmacists' interventions to optimise the treatment of adults with orally available Covid-drug, Paxlovid. Poster presented at the 28th European Association of Hospital Pharmacists (EAHP) annual congress 2024 (EAHP 2024): sustainable healthcare; opportunities and strategies, 20-22 March 2024, Bordeaux, France.

Paxlovid ®, the only orally available COVID drug, consists of two main components: Nirmatrelvir and Ritonavir. Ritonavir is known for the potent inhibition of CYP (cytochrome P450) enzymes in the liver mainly of CYP3A4, resulting in a large number of... Read More about A description of pharmacists' interventions to optimise the treatment of adults with orally available Covid-drug, Paxlovid..

Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating. (2024)
Journal Article
ZENG, J., WANG, S., ZHANG, M., CAO, W., FERNANDEZ, C. and GUERRERO, J.M. 2024. Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating. Journal of energy storage [online], 86(part B), article number 111283. Available from: https://doi.org/10.1016/j.est.2024.111283

The fractional-order theory has been successfully applied to battery modeling and state of charge (SOC) estimation thanks to the rapid development of smart energy storage and electric vehicles. The fractional-order model (FOM) has high nonlinearity,... Read More about Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating..