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The Lowest Eigenfrequencies of an Immersed Thin Elastic Cylindrical Shell (2023)
Book Chapter
Yücel, H., Erbaş, B., Ege, N., & Kaplunov, J. (2023). The Lowest Eigenfrequencies of an Immersed Thin Elastic Cylindrical Shell. In Advances in Linear and Nonlinear Continuum and Structural Mechanics (559-571). Springer. https://doi.org/10.1007/978-3-031-43210-1_31

The plane strain time-harmonic motion of an immersed cylindrical elastic shell is considered. The revisit to this classical problem is motivated by modern technical applications, including the investigation of low-frequency band gaps arising at acous... Read More about The Lowest Eigenfrequencies of an Immersed Thin Elastic Cylindrical Shell.

Extreme dynamics of wave groups on jet currents (2023)
Journal Article
Slunyaev, A. V., & Shrira, V. I. (2023). Extreme dynamics of wave groups on jet currents. Physics of Fluids, 35(12), Article 126606. https://doi.org/10.1063/5.0180658

Rogue waves are known to be much more common on jet currents. A possible explanation was put forward in Shrira and Slunyaev [“Nonlinear dynamics of trapped waves on jet currents and rogue waves,” Phys. Rev. E 89, 041002(R) (2014)] for the waves trapp... Read More about Extreme dynamics of wave groups on jet currents.

Threat Modeling for Communication Security of IoT-Enabled Digital Logistics (2023)
Journal Article
Junejo, A. K., Breza, M., & McCann, J. A. (in press). Threat Modeling for Communication Security of IoT-Enabled Digital Logistics. Sensors, 23(23), Article 9500. https://doi.org/10.3390/s23239500

The modernization of logistics through the use of Wireless Sensor Network (WSN) Internet of Things (IoT) devices promises great efficiencies. Sensor devices can provide real-time or near real-time condition monitoring and location tracking of assets... Read More about Threat Modeling for Communication Security of IoT-Enabled Digital Logistics.

New mountain ridge modes in a film/substrate bilayer (2023)
Journal Article
Fu, Y., Wang, Y., & Fu, Y. (in press). New mountain ridge modes in a film/substrate bilayer. Mathematics and Mechanics of Solids, 1-15. https://doi.org/10.1177/10812865231208414

This article is concerned with the buckling of a film-substrate bilayer in a state of plane strain when it is subjected to a uni-axial compression along its free surface. Previous numerical simulations have indicated that pre-stretching the substrate... Read More about New mountain ridge modes in a film/substrate bilayer.

Seismic metasurface on an orthorhombic elastic half-space (2023)
Journal Article
Prikazchikov, D., Sabirova, R., & Wootton, P. T. (in press). Seismic metasurface on an orthorhombic elastic half-space. Science Progress, 106(4), https://doi.org/10.1177/00368504231206320

The article is studying a seismic meta-surface in the case of an oscillatory system arranged on the surface of an orthorhombic elastic half-space. The approach is based on the asymptotic hyperbolic–elliptic formulation for the Rayleigh wave excited b... Read More about Seismic metasurface on an orthorhombic elastic half-space.

The thermo-viscous fingering instability of a cooling spreading liquid dome (2023)
Journal Article
Algwauish, G., & Naire, S. (2023). The thermo-viscous fingering instability of a cooling spreading liquid dome. Physics of Fluids, 35(11), Article 112109. https://doi.org/10.1063/5.0173902

We investigate a theoretical model of a molten viscous planar liquid dome spreading under gravity over an inclined substrate. The liquid in the dome cools as it spreads, losing its heat to the surrounding colder air and substrate. Coupled nonlinear... Read More about The thermo-viscous fingering instability of a cooling spreading liquid dome.

Machine learning models based on routinely sampled blood tests can predict the presence of malignancy amongst patients with suspected musculoskeletal malignancy (2023)
Journal Article
Bentick, K., Runevic, J., Akula, S., Kyriacou, T., Cool, P., & Andras, P. (2023). Machine learning models based on routinely sampled blood tests can predict the presence of malignancy amongst patients with suspected musculoskeletal malignancy. Methods, 220, 55-60. https://doi.org/10.1016/j.ymeth.2023.10.012

This study explores the possibility of using routinely taken blood tests in the diagnosis and triage of patients with suspected musculoskeletal malignancy. A retrospective study was performed on results of patients who had presented for assessment to... Read More about Machine learning models based on routinely sampled blood tests can predict the presence of malignancy amongst patients with suspected musculoskeletal malignancy.

Stochastic flutter analysis of a three-degree-of-freedom airfoil under vertical turbulence disturbance (2023)
Journal Article
Hao, Y., Guo, X., & Fu, Y. (2024). Stochastic flutter analysis of a three-degree-of-freedom airfoil under vertical turbulence disturbance. International Journal of Non-Linear Mechanics, 158, Article 104584. https://doi.org/10.1016/j.ijnonlinmec.2023.104584

This paper investigates the nonlinear stochastic dynamic response of a three-degree-of-freedom(3-DOF) airfoil with high substructural nonlinearity under vertical turbulent disturbances. Considering a two-dimensional flow field, the Dryden turbulence... Read More about Stochastic flutter analysis of a three-degree-of-freedom airfoil under vertical turbulence disturbance.

The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study (2023)
Presentation / Conference Contribution
Shahrour, G., Quincey, E. D., & Lal, S. (2023, November). The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study. Presented at ASONAM '23: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Kusadasi Turkiye

Community Question Answering (CQA) forums such as Stack Overflow (SO) are a form of crowdsourced knowledge for software engineers who seek solutions to development and programming challenges. While such a forum provides valuable support to engineers,... Read More about The Content Quality of Crowdsourced Knowledge on Stack Overflow- A Systematic Mapping Study.