All Outputs (1206)

Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm. (2024)
Journal Article
ZHOU, Y., WANG, S., XIE, Y., ZENG, J. and FERNANDEZ, C. 2024. Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm. Energy [online], 300, article number 131575. Available from: https://doi.org/10.1016/j.energy.2024.131575

Due to the large-scale application of electric vehicles, the remaining service life prediction and health status diagnosis of lithium-ion batteries as their power core is particularly important, and the essence of RUL prediction and SOH diagnosis is... Read More about Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm..

High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model. (2024)
Journal Article
FENG, R., WANG, S., YU, C., HAI, N. and FERNANDEZ, C. 2024. High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model. Journal of energy storage [online], 90(part A), article number 111834. Available from: https://doi.org/10.1016/j.est.2024.111834

The state of health (SOH) of lithium-ion batteries plays a crucial role in maintaining the stability of electric vehicle systems. To address the issue of low accuracy in existing prediction models, this article introduces an enhanced grey wolf algori... Read More about High precision state of health estimation of lithium-ion batteries based on strong correlation aging feature extraction and improved hybrid kernel function least squares support vector regression machine model..

A novel least squares support vector machine-particle filter algorithm to estimate the state of energy of lithium-ion battery under a wide temperature range. (2024)
Journal Article
HAO, X., WANG, S., FAN, Y., LIU, D., LIANG, Y., ZHANG, M. and FERNANDEZ, C. 2024. A novel least squares support vector machine-particle filter algorithm to estimate the state of energy of lithium-ion battery under a wide temperature range. Journal of energy storage [online], 89, article number 111820. Available from: https://doi.org/10.1016/j.est.2024.111820

The state of energy (SOE) is a key indicator for lithium-ion battery management systems (BMS). Based on the second-order resistance-capacitance equivalent circuit model and online parameter identification using the dynamic weights particle swarm opti... Read More about A novel least squares support vector machine-particle filter algorithm to estimate the state of energy of lithium-ion battery under a wide temperature range..

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..

Heliconical nematic and smectic phases: the synthesis and characterisation of the CB4O.m and CB8O.m series. (2024)
Journal Article
ALSHAMMARI, A.F., ZATTARIN, A., PEARSON, A., CRUICKSHANK, E., MAJEWSKA, M., POCIECHA, D., STOREY, J.M.D., GORECKA, E., IMRIE, C.T. and WALKER, R. 2024. Heliconical nematic and smectic phases: the synthesis and characterisation of the CB4O.m and CB8O.m series. Liquid crystals [online], Latest Articles. Available from: https://doi.org/10.1080/02678292.2024.2334342

The synthesis and characterisation of two series of nonsymmetric dimers belonging to the family of compounds, the 1-(4-cyanobiphenyl-4′-yl)-ω-(4-alkylanilinebenzylidene-4′-oxy)alkanes (CBnO.m) is reported; in the acronym, n refers to the number of ca... Read More about Heliconical nematic and smectic phases: the synthesis and characterisation of the CB4O.m and CB8O.m series..

Ultra-processed foods and human health: an umbrella review and updated meta-analyses of observational evidence. (2024)
Journal Article
DAI, S., WELLENS, J., DUTHIE, S., LI, X., et al. 2024. Ultra-processed foods and human health: an umbrella review and updated meta-analyses of observational evidence. Clinical nutrition [online], 43(6), pages 1386-1394. Available from: https://doi.org/10.1016/j.clnu.2024.04.016

Ultra-processed food (UPF) intake has increased sharply over the last few decades and has been consistently asserted to be implicated in the development of non-communicable diseases. We aimed to evaluate and update the existing observational evidence... Read More about Ultra-processed foods and human health: an umbrella review and updated meta-analyses of observational evidence..

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], 88, article number 111549. Available from: https://doi.org/10.1016/j.est.2024.111549

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..

Rapid conformational analysis of semi-flexible liquid crystals. (2024)
Journal Article
HOBBS, J.L., GIBB, C.J., CRUICKSHANK, E., WALKER, R. and MANDLE, R.J. 2024. Rapid conformational analysis of semi-flexible liquid crystals. Liquid crystals [online], Latest Articles. Available from: https://doi.org/10.1080/02678292.2024.2333323

We present an approach for rapid conformational analysis of semi-flexible liquid crystals. We use a simple graphical user interface (GUI) tool that leverages rules-based methods for efficient generation of bend-angle distributions, offering a signifi... Read More about Rapid conformational analysis of semi-flexible liquid crystals..

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].

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..

Implementation of medication reviews in community pharmacy: reaching consensus on stakeholders' recommendations for mechanisms of change using the nominal group technique. (2024)
Journal Article
MICHEL, D.E., TONNA, A.P., DARTSCH, D.C. and WEIDMANN, A.E. 2024. Implementation of medication reviews in community pharmacy: reaching consensus on stakeholders’ recommendations for mechanisms of change using the nominal group technique. International journal of clinical pharmacy [online], Latest Articles. Available from: https://doi.org/10.1007/s11096-024-01708-y

Since 2022, patients with five or more medicines are eligible for a medication review (MR) in a community pharmacy remunerated by the German health system. However, implementation has been slow, with few pharmacies providing MRs. Stakeholders' input... Read More about Implementation of medication reviews in community pharmacy: reaching consensus on stakeholders' recommendations for mechanisms of change using the nominal group technique..

A novel multi-factor fuzzy membership function - adaptive extended Kalman filter algorithm for the state of charge and energy joint estimation of electric-vehicle lithium-ion batteries. (2024)
Journal Article
LIU, D., WANG, S., FAN, Y., FERNANDEZ, C. and BLAABJERG, F. 2024. A novel multi-factor fuzzy membership function - adaptive extended Kalman filter algorithm for the state of charge and energy joint estimation of electric-vehicle lithium-ion batteries. Journal of energy storage [online], 86(part A), article number 111222. Available from: https://doi.org/10.1016/j.est.2024.111222

In view of the unmeasurable state parameters of electric-vehicle lithium-ion batteries, this paper investigates a novel multi-factor fuzzy membership function - adaptive extended Kalman filter (MFMF-AEKF) algorithm for the online joint estimation of... Read More about A novel multi-factor fuzzy membership function - adaptive extended Kalman filter algorithm for the state of charge and energy joint estimation of electric-vehicle lithium-ion batteries..

What works for whom, how and why in mental health education for undergraduate health profession students? A realist synthesis protocol. [Protocol] (2024)
Other
MCCORMACK, Z., KERR, A., SIMPSON, A., KEATING, D. and STRAWBRIDGE, J. 2024. What works for whom, how and why in mental health education for undergraduate health profession students? A realist synthesis protocol. [Protocol]. BMJ open [online], 14(3), article number e078130. Available from: https://doi.org/10.1136/bmjopen-2023-078130

It has been shown that mental health education can support positive attitudes of health profession students towards people with mental health challenges, which supports them to provide optimal healthcare to this group. There are many different approa... Read More about What works for whom, how and why in mental health education for undergraduate health profession students? A realist synthesis protocol. [Protocol].

A novel method to quantify fibrin-fibrin and fibrin-α2AP cross-links in thrombi formed from human trauma patient plasma. (2024)
Journal Article
MORROW, G.B., FLANNERY, S., CHARLES, P.D., HEILIG, R., FELLER, T., MCQUILTEN, Z., WAKE, E., ARIENS, R.A.S., WINEARLS, J., MUTCH, N.J., FISCHER, R., LAFFAN, M.A. and CURRY, N. [2024]. A novel method to quantify fibrin-fibrin and fibrin-α2AP cross-links in thrombi formed from human trauma patient plasma. Journal of thrombosis and haemostasis [online], Articles in Press. Available from: https://doi.org/10.1016/j.jtha.2024.03.001

The widespread use of the anti-fibrinolytic agent, tranexamic acid (TXA), interferes with the quantification of fibrinolysis by dynamic laboratory assays such as clot lysis, making it difficult to measure fibrinolysis in many trauma patients. At the... Read More about A novel method to quantify fibrin-fibrin and fibrin-α2AP cross-links in thrombi formed from human trauma patient plasma..