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Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey (2022)
Journal Article
Mkaouer, M., Gaber, T., & Dagdia, Z. (2022). Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey. Applied Computational Intelligence and Soft Computing, 2(2), 173-194. https://doi.org/10.3934/aci.2022010

In late December 2019, the World Health Organization (WHO) announced the outbreak of a new type of coronavirus, named the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), also known as COVID-19. The deadliness of the virus has forced gov... Read More about Effects of COVID-19 pandemic on computational intelligence and cybersecurity: survey.

DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy (2022)
Journal Article
Adeboye, O., Dargahi, T., Babaie, M., Saraee, M., & Yu, C. (2022). DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy. IEEE Access, https://doi.org/10.1109/ACCESS.2022.3222834

Autonomous Vehicles (AVs) are equipped with several sensors which produce various forms of data, such as geo-location, distance, and camera data. The volume and utility of these data, especially camera data, have contributed to the advancement of h... Read More about DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy.

Graph attention neural network for water network partitioning (2022)
Journal Article
Rong, K., Fu, M., Huang, Y., Zhang, M., Zheng, L., Zheng, J., …Yaseen, Z. (2022). Graph attention neural network for water network partitioning. Applied Water Science, 13(3), https://doi.org/10.1007/s13201-022-01791-4

Partitioning a water distribution network into several district metered areas is beneficial for its management. Partitioning a network according to its node features and connections remains a challenge. A recent study has realized water network parti... Read More about Graph attention neural network for water network partitioning.

Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking (2022)
Journal Article
Hu, Z., Ren, L., Wei, G., Qian, Z., Liang, W., Chen, W., …Wang, K. (2022). Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 294-303. https://doi.org/10.1109/tnsre.2022.3221986

Understanding the distinct functions of human muscles could not only help professionals obtain insights into the underlying mechanisms that we accommodate compromised neuromuscular system, but also assist engineers in developing rehabilitation device... Read More about Energy Flow and Functional Behavior of Individual Muscles at Different Speeds During Human Walking.

Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities (2022)
Journal Article
Alahdal, M., & Elkord, E. (2022). Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities. Clinical Immunology, 245, https://doi.org/10.1016/j.clim.2022.109177

Exhaustion of immune cells in COVID-19 remains a serious concern for infection management and therapeutic interventions. As reported, immune cells such as T effector cells (Teff), T regulatory cells (Tregs), natural killer cells (NKs), and antigen-pr... Read More about Exhaustion and over-activation of immune cells in COVID-19: challenges and therapeutic opportunities.

Editorial: metabolic reprogramming in breast cancer (2022)
Journal Article
Scatena, C., Naccarato, A., Ozsvari, B., & Scumaci, D. (2022). Editorial: metabolic reprogramming in breast cancer. Frontiers in Oncology, 12, https://doi.org/10.3389/fonc.2022.1081171

Metabolic reprogramming is an emerging hallmark of breast cancer. A common characteristic of tumor cells is the ability to obtain nutrients from a nutrient-deprived environment and to use them to sustain cancer progression, within crucial metabolic p... Read More about Editorial: metabolic reprogramming in breast cancer.

Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective (2022)
Journal Article
Tariq, H., Pathirage, C., Fernando, T., Sulaiman, N., Nazir, U., Abdul Latib, S. K. K., & Masram, H. (2022). Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective. Sustainability, 14(22), 14749. https://doi.org/10.3390/su142214749

Communities increasingly need tools that can help them assess the environmental risks they face to understand better their capacities in mitigation, preparedness, response, and recovery. Environmental resilience (ER) is a crucial feature of community... Read More about Measuring Environmental Resilience Using Q-Methods: A Malaysian Perspective.

Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level (2022)
Journal Article
Almaiah, M., Alfaisal, R., Salloum, S., Hajjej, F., Thabit, S., El-Qirem, F., …Al-Maroof, R. (2022). Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level. Electronics, 11(22), https://doi.org/10.3390/electronics11223662

The learning environment usually raises various types of anxiety based on the student’s abilities to use technology and their abilities to overcome the negative feelings of an individual being watched all the time and criticized. Hence, learners stil... Read More about Examining the impact of artificial intelligence and social and computer anxiety in e-learning settings: students’ perceptions at the university level.

An experimental study of granular material using recycled concrete waste for pavement roadbed construction (2022)
Journal Article
concrete waste for pavement roadbed construction. Buildings, 12(11), 1926. https://doi.org/10.3390/buildings12111926

Rapid worldwide urbanization and drastic population growth have increased the demand for new road construction, which will cause a substantial amount of natural resources such as aggregates to be consumed. The use of recycled concrete aggregate could... Read More about An experimental study of granular material using recycled concrete waste for pavement roadbed construction.

Electro-magnetohydrodynamics hybrid nanofluid flow with gold and magnesium oxide nanoparticles through vertical parallel plates (2022)
Journal Article
Bhatti, M., Beg, O., Ellahi, R., Doranehgard, M., & Rabiei, F. (2022). Electro-magnetohydrodynamics hybrid nanofluid flow with gold and magnesium oxide nanoparticles through vertical parallel plates. Journal of Magnetism and Magnetic Materials, 564(2), https://doi.org/10.1016/j.jmmm.2022.170136

The hybrid nanofluid flow under suspension of Gold and Magnesium oxide nanoparticles (Au/MgO-NPs) propagating between vertical parallel plates is investigated. Sodium alginate third-grade non-Newtonian fluid is used as the base fluid. The effect of... Read More about Electro-magnetohydrodynamics hybrid nanofluid flow with gold and magnesium oxide nanoparticles through vertical parallel plates.

Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime (2022)
Journal Article
Beg, O., Muhammed, R., Basha, H., Reddy, G., & Shankar, U. (2022). Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime. Waves in Random and Complex Media, https://doi.org/10.1080/17455030.2022.2139013

Mathematical modelling of squeezing flows finds numerous applications in biological, mechanical and medical engineering. Sensors feature such flows and can be effectively utilized to control vibrations and regulate lubrication. Magnetic fluids are cr... Read More about Influence of variable thermal conductivity and dissipation on magnetic Carreau fluid flow along a micro-cantilever sensor in a squeezing regime.

Effect of metal fractions on rice grain metal uptake and biological parameters in mica mines waste contaminated soils. (2022)
Journal Article
Ghosh, S., Mondal, S., Mandal, J., Mukherjee, A., & Bhattachryya, P. (2023). Effect of metal fractions on rice grain metal uptake and biological parameters in mica mines waste contaminated soils. Journal of Environmental Sciences, 136, 313-324. https://doi.org/10.1016/j.jes.2022.10.038

Heavy metals from mica waste not only deteriorate the soil quality but also results in the uptake of metals in the crop. The present investigation was conducted to evaluate the effects of different fractions of metals on the uptake in rice, soil micr... Read More about Effect of metal fractions on rice grain metal uptake and biological parameters in mica mines waste contaminated soils..

A user’s guide to golden gate cloning methods and standards (2022)
Journal Article
Bird, J., Marles-Wright, J., & Giachino, A. (2022). A user’s guide to golden gate cloning methods and standards. ACS synthetic biology, 11(11), 3551-3563. https://doi.org/10.1021/acssynbio.2c00355

The continual demand for specialized molecular cloning techniques that suit a broad range of applications has driven the development of many different cloning strategies. One method that has gained significant traction is Golden Gate assembly, which... Read More about A user’s guide to golden gate cloning methods and standards.

Transient bio-inspired gliders with embodied humidity responsive actuators for environmental sensing (2022)
Journal Article
Wiesemüller, F., Meng, Z., Hu, Y., Farinha, A., Govdeli, Y., Nguyen, P. H., …Kovač, M. (in press). Transient bio-inspired gliders with embodied humidity responsive actuators for environmental sensing. Frontiers in Robotics and AI, 9, https://doi.org/10.3389/frobt.2022.1011793

Collecting temporal and spatial high-resolution environmental data can guide studies in environmental sciences to gain insights in ecological processes. The utilization of automated robotic systems to collect these types of data can maximize accuracy... Read More about Transient bio-inspired gliders with embodied humidity responsive actuators for environmental sensing.

Experimental study of temperature effect on the mechanical tensile fatigue of hydrated lime modified asphalt concrete and case application for the analysis of climatic effect on constructed pavement (2022)
Journal Article
constructed pavement. Case studies in construction materials, 17, https://doi.org/10.1016/j.cscm.2022.e01622

Previous experimental studies have suggested that hot mixed asphalt (HMA) concrete using hydrated lime (HL) to partially replace the conventional limestone dust filler at 2.5% by the total weight of all aggregates showed an optimum improvement on sev... Read More about Experimental study of temperature effect on the mechanical tensile fatigue of hydrated lime modified asphalt concrete and case application for the analysis of climatic effect on constructed pavement.

An Automatic Self Shape-Shifting Soft Mobile Robot (A4SMR) (2022)
Journal Article
Al-Ibadi, M., Al-Assfor, F., & Al-Ibadi, A. (2022). An Automatic Self Shape-Shifting Soft Mobile Robot (A4SMR). Robotics, 11(6), https://doi.org/10.3390/robotics11060118

This article proposes a mobile robot that is fully constructed and actuated by utilising a pneumatic artificial muscle (PAM). Several features are shown in this design including softness, lightweight, and shape change. The robot that has been designe... Read More about An Automatic Self Shape-Shifting Soft Mobile Robot (A4SMR).

Near-wall modeling of forests for atmosphere boundary layers using lattice Boltzmann method on GPU (2022)
Journal Article
Shao, X., Santasmasas, M. C., Xue, X., Niu, J., Davidson, L., Revell, A. J., & Yao, H. (2022). Near-wall modeling of forests for atmosphere boundary layers using lattice Boltzmann method on GPU. Engineering Applications of Computational Fluid Mechanics, 16(1), 2143-2156. https://doi.org/10.1080/19942060.2022.2132420

In this paper, the simulation and modeling of the turbulent atmospheric boundary layers (ABLs) in the presence of forests are studied using a lattice Boltzmann method with large eddy simulation, which was implemented in the open-source program GASCAN... Read More about Near-wall modeling of forests for atmosphere boundary layers using lattice Boltzmann method on GPU.

A three-dimensional whole-body model to predict human walking on level ground (2022)
Journal Article
Hu, D., Howard, D., & Ren, L. (2022). A three-dimensional whole-body model to predict human walking on level ground. Biomechanics and Modeling in Mechanobiology, https://doi.org/10.1007/s10237-022-01629-7

Predictive simulation of human walking has great potential in clinical motion analysis and rehabilitation engineering assessment, but large computational cost and reliance on measurement data to provide initial guess have limited its wide use. We dev... Read More about A three-dimensional whole-body model to predict human walking on level ground.

“Ageing in Place” and Urban Regeneration: Analysing the Role of Social Infrastructure (2022)
Journal Article
Lewis, C., Yarker, S., Hammond, M., Kavanagh, N., & Phillipson, C. (in press). “Ageing in Place” and Urban Regeneration: Analysing the Role of Social Infrastructure. Urban Planning, 7(4), https://doi.org/10.17645/up.v7i4.5689

This article explores the potential impact of future urban regeneration for older people “ageing in place” in an inner-city neighbourhood, Collyhurst, Manchester, UK. Collyhurst has been reshaped by de-industrialisation, demolition of housing, disinv... Read More about “Ageing in Place” and Urban Regeneration: Analysing the Role of Social Infrastructure.