All Outputs (370)

Partnerships between police and GBV service providers in remote, rural and island communities in northern Scotland before and during COVID-19. (2023)
Journal Article
PEDERSEN, S., MUELLER-HIRTH, N. and MILLER, L. 2023. Partnerships between police and GBV service providers in remote, rural and island communities in northern Scotland before and during COVID-19. Policing [online], 17, pages 1-12. Available from: https://doi.org/10.1093/police/paad045

COVID-19 exacerbated challenges that already existed in the policing of Gender-Based Violence (GBV) in remote and rural northern Scotland. Victims' direct access to the police and third-sector organisations was impeded by social distancing while the... Read More about Partnerships between police and GBV service providers in remote, rural and island communities in northern Scotland before and during COVID-19..

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..

Heat and mass transport behavior in bio-convective reactive flow of nanomaterials with Soret and Dufour characteristics. (2023)
Journal Article
KHAN, M.I., SHAH, F., ABDULLAEV, S.S., LI, S., ALTUIJRI, R., VAIDYA, H. and KHAN, A. 2023. Heat and mass transport behavior in bio-convective reactive flow of nanomaterials with Soret and Dufour characteristics. Case studies in thermal engineering [online], 49, article 103347. Available from: https://doi.org/10.1016/j.csite.2023.103347

The main of this article is to analyze magnetohydrodynamic bioconvective flow of Sutterby nanoliquid. Gyrotactic microorganism in presence of chemical reaction is addressed. Thermophoretic, magnetic field, random motion heat generation and radiation... Read More about Heat and mass transport behavior in bio-convective reactive flow of nanomaterials with Soret and Dufour characteristics..

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..

A user-centred evaluation of DisCERN: discovering counterfactuals for code vulnerability detection and correction. (2023)
Journal Article
WIJEKOON, A. and WIRATUNGA, N. 2023. A user-centred evaluation of DisCERN: discovering counterfactuals for code vulnerability detection and correction. Knowledge-based systems [online], 278, article 110830. Available from: https://doi.org/10.1016/j.knosys.2023.110830

Counterfactual explanations highlight actionable knowledge which helps to understand how a machine learning model outcome could be altered to a more favourable outcome. Understanding actionable corrections in source code analysis can be critical to p... Read More about A user-centred evaluation of DisCERN: discovering counterfactuals for code vulnerability detection and correction..

A cross-sectional study of discipline-based self-perceived digital literacy competencies of nursing students. (2023)
Journal Article
MARTZOUKOU, K., LUDERS, E.S., MAIR, J., KOSTAGIOLAS, P., JOHNSON, N., WORK, F. and FULTON, C. 2024. A cross-sectional study of discipline-based self-perceived digital literacy competencies of nursing students. Journal of advanced nursing [online], 80(2), pages 656-672. Available from: https://doi.org/10.1111/jan.15801

This study offers an empirical exploration of self-assessed digital competencies of students, most of whom studied in nursing courses, using a discipline-based self-assessment survey tool. A range of digital competencies were explored: information an... Read More about A cross-sectional study of discipline-based self-perceived digital literacy competencies of nursing students..

Clinical evaluation of painful diabetes peripheral neuropathy in type 2 diabetes patients: lessons from expatriates in the United Arab Emirates. (2023)
Journal Article
HAZARI, A., MISHRA, V. and AGOURIS, I. 2023. Clinical evaluation of painful diabetes peripheral neuropathy in type 2 diabetes patients: lessons from expatriates in the United Arab Emirates. Diabetes and metabolic syndrome: clinical research and reviews [online], 17(9), article 102832. Available from: https://doi.org/10.1016/j.dsx.2023.102832

The high prevalence of Type 2 Diabetes (T2D) in the United Arab Emirates makes it imperative to screen and manage diabetes peripheral neuropathy (DPN) as a priority. Considering the high number of expats from different ethnicity a more thorough appro... Read More about Clinical evaluation of painful diabetes peripheral neuropathy in type 2 diabetes patients: lessons from expatriates in the United Arab Emirates..

Singular spectrum analysis method for hyperspectral imagery feature extraction: a review and evaluation. (2023)
Journal Article
SUN, G., FU, H., ZHANG, A. and REN, J. 2023. Singular spectrum analysis method for hyperspectral imagery feature extraction: a review and evaluation. Cehui xuebao/Acta geodaetica et cartographica sinica [online], 15(7), pages 1148-1163. Available from: https://doi.org/10.11947/j.AGCS.2023.20220542

Hyperspectral remote sensing imagery (HSI) usually contains dozens to hundreds of continuous spectral bands, with the syncretism of spectrum and image, spectral continuity, which can realize fine classification of ground objects and has been widely u... Read More about Singular spectrum analysis method for hyperspectral imagery feature extraction: a review and evaluation..

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..

An innovative EEG-based emotion recognition using a single channel-specific feature from the brain rhythm code method. (2023)
Journal Article
LI, J.W., LIN, D., CHE, Y., LV, J.J., CHEN, R.J., WANG, L.J., ZENG, X.X., REN, J.C., ZHAO, H.M. and LU, X. 2023. An innovative EEG-based emotion recognition using a single channel-specific feature from the brain rhythm code method. Frontiers in neuroscience [online], 17, article 1221512. Available from: https://doi.org/10.3389/fnins.2023.1221512

Efficiently recognizing emotions is a critical pursuit in brain–computer interface (BCI), as it has many applications for intelligent healthcare services. In this work, an innovative approach inspired by the genetic code in bioinformatics, which util... Read More about An innovative EEG-based emotion recognition using a single channel-specific feature from the brain rhythm code method..

Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. (2023)
Journal Article
ZAKARIYYA, I., KALUTARAGE, H. and AL-KADRI, M.O. 2023. Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring. Computer and security [online], 133, article 103388. Available from: https://doi.org/10.1016/j.cose.2023.103388

The application of Deep Neural Networks (DNNs) for monitoring cyberattacks in Internet of Things (IoT) systems has gained significant attention in recent years. However, achieving optimal detection performance through DNN training has posed challenge... Read More about Towards a robust, effective and resource efficient machine learning technique for IoT security monitoring..

Australia: financial sector - new reforms to strengthen accountability and transparency within the industry. (2023)
Journal Article
MAK, C.H.W. 2023. Australia: financial sector - new reforms to strengthen accountability and transparency within the industry. Journal of international banking law and regulation [online], 38(8), pages N55-N56. Available from: https://uk.westlaw.com

Reviews the aims of Australia's Financial Accountability Regime Bill 2023, the background to its creation, its failure to include individual civil penalties for infringing accountability duties, its approach to transparency, its likely implications,... Read More about Australia: financial sector - new reforms to strengthen accountability and transparency within the industry..

Counter-conducting environmental injustices and (un)accountability: Ken Saro-Wiwa's accounts of the Ogoni's struggle for emancipation. (2023)
Journal Article
LAUWO, S.G., EGBON, O., DENEDO, M. and EJIOGU, A.R. 2023. Counter-conducting environmental injustices and (un)accountability: Ken Saro-Wiwa's accounts of the Ogoni's struggle for emancipation. Accounting, auditing and accountability journal [online], 36(6), pages 1637-1664. Available from: https://doi.org/10.1108/aaaj-06-2022-5878

This paper explores the historical roots of environmental accountability in the Niger Delta region of Nigeria by focusing on the campaigns for social and environmental justice by writer Ken Saro-Wiwa and the indigenous Ogoni people. The methods consi... Read More about Counter-conducting environmental injustices and (un)accountability: Ken Saro-Wiwa's accounts of the Ogoni's struggle for emancipation..

Precise dynamic modelling of real-world hybrid solar-hydrogen energy systems for grid-connected buildings. (2023)
Journal Article
ATTEYA, A.I., ALI, D. and SELLAMI, N. 2023. Precise dynamic modelling of real-world hybrid solar-hydrogen energy systems for grid-connected buildings. Energies [online], 16(14), article 5449. Available from: https://doi.org/10.3390/en16145449

Hybrid renewable hydrogen energy systems could play a key role in delivering sustainable solutions for enabling the Net Zero ambition; however, the lack of exact computational modelling tools for sizing the integrated system components and simulating... Read More about Precise dynamic modelling of real-world hybrid solar-hydrogen energy systems for grid-connected buildings..

MCCFNet: multi-channel color fusion network for cognitive classification of traditional Chinese paintings. (2023)
Journal Article
GENG, J., ZHANG, X., YAN, Y., SUN, M., ZHANG, H., ASSAAD, M., REN, J. and LI, X. 2023. MCCFNet: multi-channel color fusion network for cognitive classification of traditional Chinese paintings. Cognitive computation [online],15(6), pages 2050-2061. Available from: https://doi.org/10.1007/s12559-023-10172-1

The computational modeling and analysis of traditional Chinese painting rely heavily on cognitive classification based on visual perception. This approach is crucial for understanding and identifying artworks created by different artists. However, th... Read More about MCCFNet: multi-channel color fusion network for cognitive classification of traditional Chinese paintings..

Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol. (2023)
Journal Article
MARTINEZ-MARROQUIN, E., CHAU, M., TURNER, M., HAXHIMOLLA, H. and PATERSON, C. 2023. Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol. Systematic reviews [online], 12, article number 126. Available from: https://doi.org/10.1186/s13643-023-02282-6

Variability and inaccuracies in the diagnosis of prostate cancer, and the risk of complications from invasive tests, have been extensively reported in the research literature. To address this, the use of artificial intelligence (AI) has been attracti... Read More about Use of artificial intelligence in discerning the need for prostate biopsy and readiness for clinical practice: a systematic review protocol..

Food insecurity in people living with obesity: improving sustainable and healthier food choices in the retail food environment: the FIO Food project. (2023)
Journal Article
LONNIE, M., HUNTER, E., STONE, R.A., DINEVA, M., AGGREH, M., GREATWOOD, H., JOHNSTONE, A.M. and the FIO Food Team. 2023. Food insecurity in people living with obesity: improving sustainable and healthier food choices in the retail food environment: the FIO Food project. Nutrition bulletin [online], 48(3), pages 390-399. Available from: https://doi.org/10.1111/nbu.12626

At both UK and global level, dietary consumption patterns need to change to address environmental, health and inequality challenges. Despite considerable policy interventions, the prevalence of overweight and obesity in the United Kingdom has continu... Read More about Food insecurity in people living with obesity: improving sustainable and healthier food choices in the retail food environment: the FIO Food project..

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. 2024. A sodiophilic amyloid fibril modified separator for dendrite-free sodium metal batteries. Advanced materials [online], 36(11), article 2304942. 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..

Theorising political legitimisation: from stasis to processes. (2023)
Journal Article
DOLAN, P., VERTIGANS, S. and CONNOLLY, J. 2024. Theorising political legitimisation: from stasis to processes. European journal of social theory [online], 27(1), pages 22-40. Available from: https://doi.org/10.1177/13684310231184600

Legitimacy remains a key concept in political sociology, and perhaps even more so in lay understandings of political processes and structures, as evidenced by conflict over territories and regimes around the world. However, the concept suffers from a... Read More about Theorising political legitimisation: from stasis to processes..

Large kernel spectral and spatial attention networks for hyperspectral image classification. (2023)
Journal Article
SUN, G., PAN, Z., ZHANG, A., JIA, X., REN, J., FU, H. and YAN, K. 2023. Large kernel spectral and spatial attention networks for hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], 61, article 5519915. Available from: https://doi.org/10.1109/tgrs.2023.3292065

Currently, long-range spectral and spatial dependencies have been widely demonstrated to be essential for hyperspectral image (HSI) classification. Due to the transformer superior ability to exploit long-range representations, the transformer-based m... Read More about Large kernel spectral and spatial attention networks for hyperspectral image classification..