All Outputs (4215)

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..

David Stuart, web metrics for library and information professionals. [Book review] (2024)
Journal Article
OPPENHEIM, C. [2024]. David Stuart, web metrics for library and information professionals. Journal of librarianship and information science [online], Online First. Available from: https://doi.org/10.1177/09610006231223500

This is the second edition of a book that sold well, but had become somewhat dated with rapid developments in its field. Although primarily aimed at library and information staff, and with the strong implication that this is a field where LIS staff c... Read More about David Stuart, web metrics for library and information professionals. [Book review].

TPAAD: two‐phase authentication system for denial of service attack detection and mitigation using machine learning in software‐defined network. (2024)
Journal Article
NISA, N., KHAN, A.S., AHMAD, Z. and ABDULLAH, J. 2024. TPAAD: two-phase authentication system for denial of service attack detection and mitigation using machine learning in software-defined network. International journal of network management [online], Early View, article number e2258. Available from: https://doi.org/10.1002/nem.2258

Software-defined networking (SDN) has received considerable attention and adoption owing to its inherent advantages, such as enhanced scalability, increased adaptability, and the ability to exercise centralized control. However, the control plane of... Read More about TPAAD: two‐phase authentication system for denial of service attack detection and mitigation using machine learning in software‐defined network..

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..

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], 3(2), 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..

Clinical research nursing pathways: The development and evaluation of a nursing research internship program using the RE-AIM framework. (2024)
Journal Article
ROBERTS, N.A., BUTTON, E., DUFF, J., PATERSON, C., SMITH, M. and GAVIN, N. 2024. Clinical research nursing pathways: the development and evaluation of a nursing research internship program using the RE-AIM framework. International journal of nursing studies advances [online], 6, article number 100176. Available from: https://doi.org/10.1016/j.ijnsa.2024.100176

In 2018 a Nursing Research Internship program was started within a major referral and tertiary teaching centre in Australia. We aimed to evaluate the first 12 months of the program using an implementation science framework. This was a qualitative stu... Read More about Clinical research nursing pathways: The development and evaluation of a nursing research internship program using the RE-AIM framework..

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..

Addressing the trilemma of challenges: the need for more SC strategic collaborations in the UK oil and gas sector. (2024)
Journal Article
OKE, A., OSOBAJO, O.A. and TAYLOR, S. 2024. Addressing the trilemma of challenges: the need for more SC strategic collaborations in the UK oil and gas sector. Sustainability [online], 16(2), article number 570. Available from: https://doi.org/10.3390/su16020570

This study conceptualises the extent of supply chain collaboration in the oil and gas (O&G) sector using the evidence from the literature and the primary data collected from supply chain practitioners across various companies in the UK O&G sector. Th... Read More about Addressing the trilemma of challenges: the need for more SC strategic collaborations in the UK oil and gas sector..

Detection-driven exposure-correction network for nighttime drone-view object detection. (2024)
Journal Article
XI, Y., JIA, W., MIAO, Q., FENG, J., REN, J. and LUO, H. 2024. Detection-driven exposure-correction network for nighttime drone-view object detection. IEEE transactions on geoscience and remote sensing [online], 62, article number 5605014. Available from: https://doi.org/10.1109/TGRS.2024.3351134

Drone-view object detection (DroneDet) models typically suffer a significant performance drop when applied to nighttime scenes. Existing solutions attempt to employ an exposure-adjustment module to reveal objects hidden in dark regions before detecti... Read More about Detection-driven exposure-correction network for nighttime drone-view object detection..

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..

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..

Entrepreneurship in the favela: negotiating precarity and mental health during COVID-19. (2024)
Journal Article
GARCIA, M.L.T., SPOLANDER, G., TOMLINS, R., LEAL, F.X., BORGES, R.E.S. and SUKUMAR, A. 2024. Entrepreneurship in the favela: negotiating precarity and mental health during COVID-19. Social work in public health [online], 39(1), pages 48-61. Available from: https://doi.org/10.1080/19371918.2024.2316874

This paper aims to explore the impact of the COVID-19 pandemic on the health and mental health of necessary entrepreneurs in Brasilian favelas, the social problems they experienced and implications for public health social work. The study used struct... Read More about Entrepreneurship in the favela: negotiating precarity and mental health during COVID-19..

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..

Feature aggregation and region-aware learning for detection of splicing forgery. (2024)
Journal Article
XU, Y., ZHENG, J., REN, J. and FANG, A. 2024. Feature aggregation and region-aware learning for detection of splicing forgery. IEEE signal processing letters [online], 31, pages 696-700. Available from: https://doi.org/10.1109/LSP.2023.3348689

Detection of image splicing forgery become an increasingly difficult task due to the scale variations of the forged areas and the covered traces of manipulation from post-processing techniques. Most existing methods fail to jointly multi-scale local... Read More about Feature aggregation and region-aware learning for detection of splicing forgery..

Members in good standing? The relationship between NoFap/reboot communities and the manosphere. (2024)
Journal Article
SMITH, D. 2024. Members in good standing? The relationship between NoFap/Reboot communities and the manosphere. International journal of communication [online], 18, pages 528-541. Available from: https://ijoc.org/index.php/ijoc/article/view/20524/4448

NoFap/reboot communities are online groups of mostly men trying to abstain from pornography and/or masturbation. For researchers exploring the manosphere, a loose collation of digital communities in which men affirm and replicate antifeminist/promale... Read More about Members in good standing? The relationship between NoFap/reboot communities and the manosphere..

International crimes in United Kingdom and Japanese law and practice. (2023)
Journal Article
ARNELL, P. and KAWAI, T. 2023. International crimes in United Kingdom and Japanese law and practice. Nihon University comparative law, 39, pages 89-103. Available from: https://tinyurl.com/39ejnjtp

The incorporation and application of international criminal law by states is critical if the gravest acts are to be deterred and punished. International law and institutions cannot alone meet the challenge of addressing these crimes. That the princip... Read More about International crimes in United Kingdom and Japanese law and practice..

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..

Physiological and psychological outcomes of high intensity interval training in patients with heart failure compared to moderate continuous training and usual care: a systematic review with meta analysis. (2023)
Journal Article
CALLUM, K., SWINTON, P., GORELY, T., CRABTREE, D. and LESLIE, S. 2024. Physiological and psychological outcomes of high intensity interval training in patients with heart failure compared to moderate continuous training and usual care: a systematic review with meta analysis. Heart and lung [online], 64, pages 117-127. Available from: https://doi.org/10.1016/j.hrtlng.2023.12.002

An important component of secondary prevention of CVD (including HF) is comprehensive cardiac rehab, including exercise. Novel, individualised approaches are needed to increase uptake and adherence to exercise programmes. One area offering potential... Read More about Physiological and psychological outcomes of high intensity interval training in patients with heart failure compared to moderate continuous training and usual care: a systematic review with meta analysis..

Analyst herding-whether, why, and when? Two new tests for herding detection in target forecast prices. (2023)
Journal Article
REVELEY, C., SHANAEV, S., BIN, Y., PANTA, H. and GHIMIRE, B. 2023. Analyst herding-whether, why, and when? Two new tests for herding detection in target forecast prices. Economics and business review [online], 9(4), pages 25-55. Available from: https://doi.org/10.18559/ebr.2023.4.892

This study proposes two novel tests for security analyst herding based on binomial correlation and forecast error volatility scaling and applies it to investigate herding patterns in analyst target prices in 2008-2020 in the UK. Analysts robustly her... Read More about Analyst herding-whether, why, and when? Two new tests for herding detection in target forecast prices..