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An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition. (2024)
Journal Article
ZHU, T., WANG, S., FAN, Y., HAI, N., HUANG, Q. and FERNANDEZ, C. [2024]. An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition. Energy, [online], In Press. Available from: https://doi.org/10.1016/j.energy.2024.132464

Accurate prediction of the state of health (SOH) of lithium-ion batteries is important for real-time monitoring and safety control of lithium-ion batteries. In this paper, a hybrid kernel least square support vector regression (HKLSSVR) prediction mo... Read More about An improved dung beetle optimizer- hybrid kernel least square support vector regression algorithm for state of health estimation of lithium-ion batteries based on variational model decomposition..

A review of data-driven whole-life state of health prediction for lithium-ion batteries: data preprocessing, aging characteristics, algorithms, and future challenges. (2024)
Journal Article
XIE, Y., WANG, S., ZHANG, G., TAKYI-ANINAKWA, P., FERNANDEZ, C. and BLAABJERG, F. 2024. A review of data-driven whole-life state of health prediction for lithium-ion batteries: data preprocessing, aging characteristics, algorithms, and future challenges. Journal of energy chemistry [online], 97, pages 630-649. Available from: https://doi.org/10.1016/j.jechem.2024.06.017

Lithium-ion batteries are the preferred green energy storage method and are equipped with intelligent battery management systems (BMSs) that efficiently manage the batteries. This not only ensures the safety performance of the batteries but also sign... Read More about A review of data-driven whole-life state of health prediction for lithium-ion batteries: data preprocessing, aging characteristics, algorithms, and future challenges..

Spectrophotometric and chromatographic analysis of creatine: creatinine crystals in urine. (2024)
Journal Article
WERLE, J., BURESOVA, K., CEPOVA, J., BJØRKLUND, G., FORTOVA, M., PRUSA, R., FERNANDEZ, C., DUNOVSKA, K., KLAPKOVA, E., KIZEK, R. and KOTASKA, K. 2024. Spectrophotometric and chromatographic analysis of creatine: creatinine crystals in urine. Spectrochimica acta part A: molecular and biomolecular spectroscopy [online], 322, article number 124689. Available from: https://doi.org/10.1016/j.saa.2024.124689

Creatinine is the end product of the catabolism of creatine and creatine phosphate. Creatine phosphate serves as a reservoir of high-energy phosphate, especially in skeletal and cardiac muscle. Besides typical known changes in serum and urinary creat... Read More about Spectrophotometric and chromatographic analysis of creatine: creatinine crystals in urine..

A pharmacist clinician model as part of a collaborative clinical workforce: a philosophical critique. (2024)
Journal Article
RUSHWORTH, G.F., FORSYTH, P., RADLEY, A., DUGGAN, C., SAMPSON, R., CUNNINGHAM, S. and MAGUIRE, B. [2024]. A pharmacist clinician model as part of a collaborative clinical workforce: a philosophical critique. Research in social and administrative pharmacy [online], Articles in Press. Available from: https://doi.org/10.1016/j.sapharm.2024.06.006

The term "clinician" is not reserved for any healthcare professional group. However, there is a general acceptance that a clinician would have the knowledge, skills and behaviours to enable them to clinically assess and manage a patient autonomously.... Read More about A pharmacist clinician model as part of a collaborative clinical workforce: a philosophical critique..

An optimized multi-segment long short-term memory network strategy for power lithium-ion battery state of charge estimation adaptive wide temperatures. (2024)
Journal Article
LIU, D., WANG, S., FAN, Y., FERNANDEZ, C. and BLAABJERG, F. 2024. An optimized multi-segment long short-term memory network strategy for power lithium-ion battery state of charge estimation adaptive wide temperatures. Energy [online], 304, article number 132048. Available from: https://doi.org/10.1016/j.energy.2024.132048

With the development of intelligentization and network connectivity of new energy vehicles, the estimation of power lithium-ion battery state of charge (SOC) using artificial intelligence methods is becoming a research hotspot. This paper proposes an... Read More about An optimized multi-segment long short-term memory network strategy for power lithium-ion battery state of charge estimation adaptive wide temperatures..

Are all fibrinogen concentrates the same? The effects of two fibrinogen therapies in an afibrinogenemic patient and in a fibrinogen deficient plasma model: a clinical and laboratory case report. (2024)
Journal Article
GOODARZI, S., ABU-HANNA, J., HARPER, S., KHAN, D., MORROW, G. and CURRY, N. 2024. Are all fibrinogen concentrates the same? The effects of two fibrinogen therapies in an afibrinogenemic patient and in a fibrinogen deficient plasma model: a clinical and laboratory case report. Frontiers in medicine [online], 11, article 1391422. Available from: https://doi.org/10.3389/fmed.2024.1391422

The choice of treatments for inherited, or acquired, fibrinogen deficient states is expanding and there are now several fibrinogen concentrate therapies commercially available. Patients with the rare inherited bleeding disorder, afibrinogenemia, comm... Read More about Are all fibrinogen concentrates the same? The effects of two fibrinogen therapies in an afibrinogenemic patient and in a fibrinogen deficient plasma model: a clinical and laboratory case report..

Electrochemical sensors and biosensors for identification of viruses: a critical review. (2024)
Journal Article
HOSNEDLOVA, B., WERLE, J., CEPOVA, J., NARAYANAN, V.H.B., VYSLOUZILOVA, L., FERNANDEZ, C., PARIKESIT, A.A., KEPINSKA, M., KLAPKOVA, E., KOTASKA, K., STEPANKOVA, O., BJORKLUND, G., PRUSA, R. and KIZEK, R. 2024. Electrochemical sensors and biosensors for identification of viruses: a critical review. Critical reviews in analytical chemistry [online], Online First. Available from: https://doi.org/10.1080/10408347.2024.2343853

Due to their life cycle, viruses can disrupt the metabolism of their hosts, causing diseases. If we want to disrupt their life cycle, it is necessary to identify their presence. For this purpose, it is possible to use several molecular-biological and... Read More about Electrochemical sensors and biosensors for identification of viruses: a critical review..

Dietary fibre supplementation enhances radiotherapy tumour control and alleviates intestinal radiation toxicity. (2024)
Journal Article
THEN, C.K., PAILLAS, S., MOOMIN, A., et al. 2024. Dietary fibre supplementation enhances radiotherapy tumour control and alleviates intestinal radiation toxicity. Microbiome [online], 12, article number 89. Available from: https://doi.org/10.1186/s40168-024-01804-1

Non-toxic approaches to enhance radiotherapy outcomes are beneficial, particularly in ageing populations. Based on preclinical findings showing that high-fibre diets sensitised bladder tumours to irradiation by modifying the gut microbiota, along wit... Read More about Dietary fibre supplementation enhances radiotherapy tumour control and alleviates intestinal radiation toxicity..

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], Latest Articles. 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..

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(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..

Improved multiple feature-electrochemical thermal coupling modeling of lithium-ion batteries at low-temperature with real-time coefficient correction. (2024)
Journal Article
WANG, S., GAO, H., TAKYI-ANINAKWA, P., GUERRERO, J.M., FERNANDEZ, C. and HUANG, Q. 2024. Improved multiple feature-electrochemical thermal coupling modeling of lithium-ion batteries at low-temperature with real-time coefficient correction. Protection and control of modern power systems [online], 9(3), pages 157-173. Available from: https://doi.org/10.23919/PCMP.2023.000257

Monitoring various internal parameters plays a core role in ensuring the safety of lithium-ion batteries in power supply applications. It also influences the sustainability effect and online state of charge prediction. An improved multiple feature-el... Read More about Improved multiple feature-electrochemical thermal coupling modeling of lithium-ion batteries at low-temperature with real-time coefficient correction..

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..

Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship. (2024)
Presentation / Conference
TONNA, A.P., DAMANT, G., FLEMING, N. and MARTIN, S., on behalf of NAPEG (National Antimicrobial Stewardship Pharmacy Education Group). 2024. Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship. Poster presented at the 2024 NES (NHS education for Scotland) annual virtual conference: developing a compassionate, skilled and sustainable workforce through innovative education and technology, 25-26 April 2024, [virtual event].

Competency-based teaching, learning and assessment underpins the requirements for initial training and education of pharmacists in the UK and is set by the General Pharmaceutical Council. This pedagogic approach is conducive when teaching antimicrobi... Read More about Preparing the future pharmacy workforce: competency-based undergraduate curricula for teaching, learning and assessment with a focus on antimicrobial stewardship..

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..

Engineering triple-phase interfaces around the anode toward practical alkali metal-air batteries. (2024)
Journal Article
GE, B., HU, L., YU, X., WANG, L., FERNANDEZ, C., YANG, N., LIANG, Q. and YANG, Q.-H. 2024. Engineering triple-phase interfaces around the anode toward practical alkali metal-air batteries. Advanced materials [online], Early View. Available from: https://doi.org/10.1002/adma.202400937

Alkali metal-air batteries (AMABs) promise ultrahigh gravimetric energy densities, while the inherent poor cycle stability hinders their practical application. To address this challenge, most previous efforts are devoted to advancing the air cathodes... Read More about Engineering triple-phase interfaces around the anode toward practical alkali metal-air batteries..

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..

Novel opportunities for clinical pharmacy research: development of a machine learning model to identify medication related causes of delirium in different patient groups. (2024)
Journal Article
WEIDMANN, A.E. and WATSON, E.W. 2024. Novel opportunities for clinical pharmacy research: development of a machine learning model to identify medication related causes of delirium in different patient groups. International journal of clinical pharmacy [online], Latest Articles. Available from: https://doi.org/10.1007/s11096-024-01707-z

The advent of artificial intelligence (AI) technologies has taken the world of science by storm in 2023. The opportunities of this easy to access technology for clinical pharmacy research are yet to be fully understood. The development of a custom-ma... Read More about Novel opportunities for clinical pharmacy research: development of a machine learning model to identify medication related causes of delirium in different patient groups..