All Outputs (3767)

The impacts of the transmission line length in an interconnected micro-grid on its performance and protection at different fault levels. (2024)
Journal Article
KHOSHKALAM, A. and ALI, D. 2024. The impacts of the transmission line length in an interconnected micro-grid on its performance and protection at different fault levels. Green technology, resilience, and sustainability [online], 4, article number 1. Available from: https://doi.org/10.1007/s44173-024-00016-y

Power systems, in recent years, have been experiencing a dynamic rise in the amount of power obtained from distributed renewable energy sources leading to the concept of microgrids to address the distributed power grid integration issues. Microgrids,... Read More about The impacts of the transmission line length in an interconnected micro-grid on its performance and protection at different fault levels..

Throwing cold water on muscle growth: a systematic review with meta-analysis of the effects of post-exercise cold water immersion on resistance training-induced hypertrophy. (2024)
Journal Article
PIÑERO, A., BURKE, R., AUGUSTIN, F., MOHAN, A.E., DEJESUS, K., SAPUPPO, M., WEISENTHAL, M., COLEMAN, M., ANDROULAKIS-KORAKAKIS, P., GRGIC, J., SWINTON, P.A. and SCHOENFELD, B.J. 2024. Throwing cold water on muscle growth: a systematic review with meta-analysis of the effects of post-exercise cold water immersion on resistance training-induced hypertrophy. European journal of sport science [online], 24(2), pages 177-189. Available from: https://doi.org/10.1002/ejsc.12074

The purpose of this paper was to systematically review the literature and perform a meta‐analysis of the existing data on the effects of post-exercise cold water immersion (CWI) coupled with resistance training (RT) on gains in measures of muscle gro... Read More about Throwing cold water on muscle growth: a systematic review with meta-analysis of the effects of post-exercise cold water immersion on resistance training-induced hypertrophy..

Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies. (2024)
Journal Article
EZENKWU, C.P., CANNON, S. and IBEKE, E. 2024. Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies. Environmental monitoring and assessment [online], 196(3), article number 231. Available from: https://doi.org/10.1007/s10661-024-12388-6

Across the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments' carbon reduction policies can significantly enhance our ability to combat climate change... Read More about Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies..

High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. (2024)
Journal Article
ZHOU, L., NIU, T., ZOU, G., SU, H., HE, S., ZHENG, S., ZHU, Y., CHEN, P., FERNANDEZ, C. and PENG, Q. 2024. High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin. Journal of magnesium and alloys [online], In Press. Available from: https://doi.org/10.1016/j.jma.2024.01.015

Magnesium alloys with high strength in combination of good ductility are especially desirable for applications in transportation, aerospace and bio-implants owing to their high stiffness, abundant raw materials, and environmental friendliness. Howeve... Read More about High-strong-ductile magnesium alloys by interactions of nanoscale quasi-long period stacking order unit with twin..

Two-layer ensemble of deep learning models for medical image segmentation. [Article] (2024)
Journal Article
DANG, T., NGUYEN, T.T., MCCALL, J., ELYAN, E. and MORENO-GARCÍA, C.F. 2024. Two-layer ensemble of deep learning models for medical image segmentation. Cognitive computation [online], In Press. Available from: https://doi.org/10.1007/s12559-024-10257-5

One of the most important areas in medical image analysis is segmentation, in which raw image data is partitioned into structured and meaningful regions to gain further insights. By using Deep Neural Networks (DNN), AI-based automated segmentation al... Read More about Two-layer ensemble of deep learning models for medical image segmentation. [Article].

Walking through the abstract(ed) city and co-creating urban space. (2024)
Journal Article
BELKOURI, D. and LAING, R. [2024]. Walking through the abstract(ed) city and co-creating urban space. Applied mobilities [online], Latest Articles. Available from: https://doi.org/10.1080/23800127.2024.2309742

This paper explores how co-designing urban walkability can be augmented by an innovative hybrid approach, whereby virtual records and visualisations of the walking experience can enhance the awareness, perceptions and immersion of the participant in... Read More about Walking through the abstract(ed) city and co-creating urban space..

Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method. (2024)
Journal Article
HAMEED, Z., KHAN, Z., KHURRAM, S., INAYAT, A., AMIN, N., ASLAM, M. and WATSON, I. 2024. Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method. Journal of the Energy Institute [online], 113, article 101542. Available from: https://doi.org/10.1016/j.joei.2024.101542

Rapid development in the current economic situation has led to an increase in carbon emissions and to find sustainable solution to deal with this problem. Co-gasification of biomass with municipal solid waste is gaining significant importance to util... Read More about Co-gasification study of blends of municipal solid waste with sugarcane bagasse and rice husk using the Coats-Redfern method..

The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. (2024)
Journal Article
CRUICKSHANK, E., TUFAHA, N., WALKER, R., BROWN, S., GORECKA, E., POCIECHA, D., STOREY, J.M.D. and IMRIE, C.T. The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase. Liquid crystals [online], Latest Articles. Available from: https://doi.org/10.1080/02678292.2024.2304598

The synthesis and characterisation of two series of ferroelectric nematogens based on RM734 having an additional methoxy group on the central phenyl ring are reported, the 3-methoxy-4-((4-nitrophenoxy)carbonyl)phenyl 2-alkoxy-4-alkoxybenzoates (7-m-n... Read More about The influence of molecular shape and electronic properties on the formation of the ferroelectric nematic phase..

Gaining more from doing less? The effects of a one-week deload period during supervised resistance training on muscular adaptations. (2024)
Journal Article
COLEMAN, M., BURKE, R., AUGUSTIN, F., PIÑERO, A., MALDONADO, J., FISHER, J.P., ISRAETEL, M., ANDROULAKIS-KORAKAKIS, P., SWINTON, P.A., OBERLIN, D.J. and SCHOENFELD, B.J. 2024. Gaining more from doing less? The effects of a one-week deload period during supervised resistance training on muscular adaptations. PeerJ [online], 12, e16777. Available from: https://doi.org/10.7717/peerj.16777

Based on emerging evidence that brief periods of cessation from resistance training (RT) may re-sensitize muscle to anabolic stimuli, we aimed to investigate how a 1-week deload interval at the midpoint of a 9-week RT program affected muscular adapta... Read More about Gaining more from doing less? The effects of a one-week deload period during supervised resistance training on muscular adaptations..

Investigation of efficiency and temperature dependence in RbGeBr3-based perovskite solar cell structures. (2024)
Journal Article
VALIZADEH, S., SHOKRI, A., SABOURI-DODARAN, A., FOUGH, N. and MUHAMMAD-SUKKI, F. 2024. Investigation of efficiency and temperature dependence in RbGeBr3-based perovskite solar cell structures. Results in physics [online], 57, article 107351. Available from: https://doi.org/10.1016/j.rinp.2024.107351

This study is centered on the exploration of the inorganic perovskite material RbGeBr3 as an absorbing layer in various configurations of perovskite solar cells (PSCs). The Poisson, continuity, and transport equations are solved using the finite elem... Read More about Investigation of efficiency and temperature dependence in RbGeBr3-based perovskite solar cell structures..

Comparative effect size distributions in strength and conditioning and implications for future research: a meta-analysis. (2024)
Journal Article
SWINTON, P.A. and MURPHY, A. [2024]. Comparative effect size distributions in strength and conditioning and implications for future research: a meta-analysis. International journal of strength and conditioning [online], (accepted). To be made available from: https://journal.iusca.org/index.php/Journal/issue/view/9

Controlled experimental designs are frequently used in strength and conditioning (S&C) to determine which interventions are most effective. The purpose of this large meta-analysis was to quantify the distribution of comparative effect sizes in S&C to... Read More about Comparative effect size distributions in strength and conditioning and implications for future research: a meta-analysis..

The impact of the recent EU Insolvency Directive on Scottish insolvency law. (2024)
Journal Article
MAK, C.H.W. 2024. The impact of the recent EU Insolvency Directive on Scottish insolvency law. Scots Law Times, 2024(1), pages 1-5. Available from: https://uk.westlaw.com

Considers the implications for Scottish insolvency law of the EU's Proposal for a Directive harmonising certain aspects of insolvency law (Insolvency Directive), looking at the challenges and opportunities created by the Directive's emphasis on consi... Read More about The impact of the recent EU Insolvency Directive on Scottish insolvency law..

The extradition of Mike Lynch: should the forum bar be amended? (2024)
Journal Article
ARNELL, P. and DAVIES, G. 2024. The extradition of Mike Lynch: should the forum bar be amended? Criminal law review [online], 2024(2), pages 104-111. Available from: https://uk.westlaw.com

Discusses the extradition of Mike Lynch to the US to face charges of wire fraud, conspiracy to commit wire fraud and securities fraud, for overinflating the value of a software company, and the arguments that the extradition should have been barred o... Read More about The extradition of Mike Lynch: should the forum bar be amended?.

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..

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..