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Generalised analytical solutions for linear and non-linear bond-slip models for externally bonded FRP to a concrete substrate (2023)
Journal Article
Augusthus Nelson, L., Weekes, L., Milani, G., & Al-Allaf, M. (2024). Generalised analytical solutions for linear and non-linear bond-slip models for externally bonded FRP to a concrete substrate. Engineering Structures, 298, https://doi.org/10.1016/j.engstruct.2023.117025

This article presents a set of novel analytical derivations from generalised bond-slip models using first principles, which can be used to predict experimental outcomes, including maximum load resistance, load-slip response, and strain throughout the... Read More about Generalised analytical solutions for linear and non-linear bond-slip models for externally bonded FRP to a concrete substrate.

Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images (2023)
Journal Article
Rao, P. K., Chatterjee, S., Janardhan, M., Nagaraju, K., Khan, S. B., Almusharraf, A., & Alharbe, A. I. (in press). Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images. Diagnostics, 13(20), 3244. https://doi.org/10.3390/diagnostics13203244

Kidney tumors represent a significant medical challenge, characterized by their often-asymptomatic nature and the need for early detection to facilitate timely and effective intervention. Although neural networks have shown great promise in disease p... Read More about Optimizing Inference Distribution for Efficient Kidney Tumor Segmentation Using a UNet-PWP Deep-Learning Model with XAI on CT Scan Images.

Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment. (2023)
Journal Article
Khanam, R., Nayak, A. K., Kulsum, P. G. P. S., Mandal, J., Shahid, M., Tripathy, R., …Bandaru, R. G. (in press). Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-023-30339-5

Arsenic (As) is a well-known human carcinogen, and the consumption of rice is the main pathway for the South Asian people. The study evaluated the impact of the amendments involving CaSiO , SiO nanoparticles, silica solubilizing bacteria (SSB), and... Read More about Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment..

A new deep CNN for 3D text localization in the wild through shadow removal (2023)
Journal Article
Shivakumara, P., Banerjee, A., Nandanwar, L., Pal, U., Antonacopoulos, A., Lu, T., & Blumenstein, M. (2024). A new deep CNN for 3D text localization in the wild through shadow removal. Computer Vision and Image Understanding, 238, https://doi.org/10.1016/j.cviu.2023.103863

Text localization in the wild is challenging due to the presence of 2D and 3D texts, the presence of shadows, arbitrary orientated text with non-linear arrangements, varying lighting conditions as well as complex background. This paper proposes the f... Read More about A new deep CNN for 3D text localization in the wild through shadow removal.

A 50-million-year-old, three-dimensionally preserved bat skull supports an early origin for modern echolocation (2023)
Journal Article
Hand, S. J., Maugoust, J., Beck, R. M., & Orliac, M. J. (2023). A 50-million-year-old, three-dimensionally preserved bat skull supports an early origin for modern echolocation. Current Biology, 33(21), 4624-4640. https://doi.org/10.1016/j.cub.2023.09.043

Bats are among the most recognizable, numerous, and widespread of all mammals. But much of their fossil record is missing, and bat origins remain poorly understood, as do the relationships of early to modern bats. Here, we describe a new early Eocene... Read More about A 50-million-year-old, three-dimensionally preserved bat skull supports an early origin for modern echolocation.

Habitats: Developments in managing the ecological impacts of noise on wildlife habitats for sustainable development (2023)
Conference Proceeding
Waddington, D., Wood, M., Davies, W., Young, R., & Engel, M. (in press). Habitats: Developments in managing the ecological impacts of noise on wildlife habitats for sustainable development.

The Habitats project integrates research in the fields of ecological impacts and environmental noise to facilitate development of management tools and processes needed for sustainable development. This conference paper summarises the content and outc... Read More about Habitats: Developments in managing the ecological impacts of noise on wildlife habitats for sustainable development.

What do we know about noise impacts on birds? A systematic review focusing on acoustic methodology (2023)
Conference Proceeding
Engel, M., Scott, A., Davies, W., Waddington, D., Wood, M., & Young, R. (in press). What do we know about noise impacts on birds? A systematic review focusing on acoustic methodology.

In recent years, several studies have shown how anthropogenic noise impacts wildlife. The methodologies used to quantify noise appear to influence data reliability and subsequent findings. Therefore, it is appropriate to review the robustness of acou... Read More about What do we know about noise impacts on birds? A systematic review focusing on acoustic methodology.

Towards disentangling the classification of freshwater fish trypanosomes (2023)
Journal Article
Zhang, P., Liu, J., Yin, X., Zhou, J., Lukeš, J., Lun, Z., & Lai, D. (2023). Towards disentangling the classification of freshwater fish trypanosomes. #Journal not on list, 5(4), 551-563. https://doi.org/10.1007/s42995-023-00191-0

Currently, new species of freshwater fish trypanosomes, which are economically important parasites, are being described based on subjectively selected features, i.e., their cell morphology and the host species. We have performed detailed phylogenetic... Read More about Towards disentangling the classification of freshwater fish trypanosomes.

Edible Garden Cities: Rethinking Boundaries and Integrating Hedges into Scalable Urban Food Systems (2023)
Journal Article
Adams, D., Larkham, P. J., & Hardman, M. (2023). Edible Garden Cities: Rethinking Boundaries and Integrating Hedges into Scalable Urban Food Systems. Land, 12(10), 1915. https://doi.org/10.3390/land12101915

Connecting to and extending recent debates around more-than-human thinking, this paper explores how porous boundary treatments and plot layouts might encourage ecological exchanges within new urban and peri-urban developments. This study therefore re... Read More about Edible Garden Cities: Rethinking Boundaries and Integrating Hedges into Scalable Urban Food Systems.