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A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand (2022)
Journal Article
Saleem, M. H., Potgieter, J., & Arif, K. M. (2022). A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand. IEEE Access, 10, 89798-89822. https://doi.org/10.1109/access.2022.3201104

Deep learning-based plant disease detection has gained significant attention from the scientific community. However, various aspects of real horticultural conditions have not yet been explored. For example, the disease should be considered not only o... Read More about A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand.

Habitats : managing the ecological impacts of noise on wildlife habitats for sustainable development (2022)
Presentation / Conference
Waddington, D., Wood, M., Davies, W., & Young, R. (2022, August). Habitats : managing the ecological impacts of noise on wildlife habitats for sustainable development. Presented at Internoise 2022, Glasgow, Scotland

The objective of the Habitats project is to integrate research in the fields of ecological impacts and of environmental noise, developing management tools and processes to enable sustainable development. Rapid population expansion and economic deve... Read More about Habitats : managing the ecological impacts of noise on wildlife habitats for sustainable development.

Promising use of immune cell‐derived exosomes in the treatment of SARS‐CoV‐2 infections (2022)
Journal Article
Alahdal, M., & Elkord, E. (2022). Promising use of immune cell‐derived exosomes in the treatment of SARS‐CoV‐2 infections. Clinical and Translational Medicine, 12(8), https://doi.org/10.1002/ctm2.1026

Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection is persistently threatening the lives of thousands of individuals globally. It triggers pulmonary oedema, driving to dyspnoea and lung failure. Viral infectivity of coro... Read More about Promising use of immune cell‐derived exosomes in the treatment of SARS‐CoV‐2 infections.

A Boundary Element Method (BEM) Solver for Low Frequency Room Modes (2022)
Presentation / Conference
Cicero, A., & Hargreaves, J. A. (2022, August). A Boundary Element Method (BEM) Solver for Low Frequency Room Modes. Presented at Internoise 2022, Glasgow, Scotland

Room modes are known to be problematic in small critical listening environments. They degrade the acoustic quality at low frequencies, producing peaks and nulls in the frequency domain and ringing in the time domain. The Finite Element Method (FEM) i... Read More about A Boundary Element Method (BEM) Solver for Low Frequency Room Modes.

Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing (2022)
Presentation / Conference
Hargreaves, J. (2022, August). Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing. Presented at Internoise 2022, Glasgow, Scotland

It is well known that acoustic cavities have frequencies at which certain free-response ‘modes’ of propagation respond especially strongly. In the absence of significant damping, these cause peaks of high SPL in the frequency response as well as spat... Read More about Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing.

Raytracing in Galerkin Boundary Integral form (2022)
Presentation / Conference
Emthyas, A., & Hargreaves, J. (2022, August). Raytracing in Galerkin Boundary Integral form. Presented at Internoise 2022, Glasgow, Scotland

Raytracing is an established method for computing the late-time part of room impulse responses. But it has the drawback that only very crude Monte Carlo models of boundary scattering and diffraction are possible to include without losing its attracti... Read More about Raytracing in Galerkin Boundary Integral form.

A deep learning computational approach for the classification of Covid-19 virus (2022)
Journal Article
Rajarajeswari, P., Santhi, K., Chattopadhyay, P., & Beg, O. (2022). A deep learning computational approach for the classification of Covid-19 virus. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization, https://doi.org/10.1080/21681163.2022.2111722

Deep learning and transfer learning are being extensively adopted in biomedical, health and wellbeing related applications. The continuous Covid 2019 (COVID-19) pandemic brought about an extreme impact on the worldwide medical services framework, ma... Read More about A deep learning computational approach for the classification of Covid-19 virus.

Adverse outcome pathways (AOPs) for radiation-induced reproductive effects in environmental species: state of science and identification of a consensus AOP network (2022)
Journal Article
Tollefson, K., Alonzo, F., Beresford, N., Brede, D., Dufourcq-Sekatcheff, E., Gilbin, R., …Frelon, S. (2022). Adverse outcome pathways (AOPs) for radiation-induced reproductive effects in environmental species: state of science and identification of a consensus AOP network. International Journal of Radiation Biology, 1-16. https://doi.org/10.1080/09553002.2022.2110317

Background Reproductive effects of ionizing radiation in organisms have been observed under laboratory and field conditions. Such assessments often rely on associations between exposure and effects, and thus lacking a detailed mechanistic understand... Read More about Adverse outcome pathways (AOPs) for radiation-induced reproductive effects in environmental species: state of science and identification of a consensus AOP network.

Diving into the vertical dimension of elasmobranch movement ecology (2022)
Journal Article
Andrzejaczek, S., Lucas, T., Goodman, M., Hussey, N., Armstrong, A., Carlisle, A., …et al. (2022). Diving into the vertical dimension of elasmobranch movement ecology. Science Advances, 8(33), https://doi.org/10.1126/sciadv.abo1754

Knowledge of the three-dimensional movement patterns of elasmobranchs is vital to understand their ecological roles and exposure to anthropogenic pressures. To date, comparative studies among species at global scales have mostly focused on horizontal... Read More about Diving into the vertical dimension of elasmobranch movement ecology.

Text line segmentation from struck-out handwritten document images (2022)
Journal Article
Shivakumara, P., Jain, T., Pal, U., Surana, N., Antonacopoulos, A., & Lu, T. (2022). Text line segmentation from struck-out handwritten document images. Expert systems with applications, 210, 118266. https://doi.org/10.1016/j.eswa.2022.118266

In the case of freestyle everyday handwritten documents, writing, erasing, striking out, and overwriting are common behaviors of the writers. This not cleanly-written text poses significant challenges for text line segmentation. Accurate text line se... Read More about Text line segmentation from struck-out handwritten document images.

Co-Flowering Species Richness Increases Pollinator Visitation to Apple Flowers (2022)
Journal Article
Gilpin, A., Kobel, C., E. Brettell, L., O’Brien, C., M. Cook, J., & A. Power, S. (2022). Co-Flowering Species Richness Increases Pollinator Visitation to Apple Flowers. #Journal not on list, 12(8), https://doi.org/10.3390/agriculture12081246

Co-flowering plants can experience an array of interactions, ranging from facilitation to competition, the direction and strength of which are often dependent on the relative abundance and diversity of the plant species involved and the foraging beha... Read More about Co-Flowering Species Richness Increases Pollinator Visitation to Apple Flowers.

Anatomy and dietary specialization influence sensory behaviour among sympatric primates (2022)
Journal Article
Melin, A., Veilleux, C., Janiak, M., Hiramatsu, C., Sánchez-Solano, K., Lundeen, I., …Kawamura, S. (2022). Anatomy and dietary specialization influence sensory behaviour among sympatric primates. Proceedings of the Royal Society B: Biological Sciences, 289(1981), https://doi.org/10.1098/rspb.2022.0847

Senses form the interface between animals and environments, and provide a window into the ecology of past and present species. However, research on sensory behaviours by wild frugivores is sparse. Here, we examine fruit assessment by three sympatric... Read More about Anatomy and dietary specialization influence sensory behaviour among sympatric primates.

Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach (2022)
Journal Article
Almarzouqi, A., Aburayya, A., & Salloum, S. (2022). Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach. PLoS ONE, 17(8), e0272735. https://doi.org/10.1371/journal.pone.0272735

An Electronic Medical Record (EMR) has the capability of promoting knowledge and awareness regarding healthcare in both healthcare providers and patients to enhance interconnectivity within various government bodies, and quality healthcare services.... Read More about Determinants predicting the electronic medical record adoption in healthcare: A SEM-Artificial Neural Network approach.

Recent advances in the bioremediation of arsenic‐contaminated soils: a mini review (2022)
Journal Article
Laha, A., Sengupta, S., Bhattacharya, P., Mandal, J., Bhattacharyya, S., & Bhattacharyya, K. (2022). Recent advances in the bioremediation of arsenic‐contaminated soils: a mini review. World Journal of Microbiology and Biotechnology, 38(189), https://doi.org/10.1007/s11274-022-03375-5

The carcinogenic metalloid arsenic (As), owing to its persistent behavior in elevated levels in soils, aggravates environmental and human health concerns. The current strategies used in the As decontamination involve several physical and chemi- cal a... Read More about Recent advances in the bioremediation of arsenic‐contaminated soils: a mini review.

Tracer dispersion due to pulsatile casson reactive flow in a circular tube modulated by electrical and magnetic fields (2022)
Journal Article
Beg, O., Murugan, D., Roy, A., & Ponalagusamy, R. (2022). Tracer dispersion due to pulsatile casson reactive flow in a circular tube modulated by electrical and magnetic fields. International Journal of Applied and Computational Mathematics, https://doi.org/10.1007/s40819-022-01412-3

The present article describes a detailed mathematical investigation of electro-magneto-hydrodynamic dispersion in the pulsatile flow of a Casson viscoplastic fluid in a tube packed with a porous medium. Using appropriate transformations, the model is... Read More about Tracer dispersion due to pulsatile casson reactive flow in a circular tube modulated by electrical and magnetic fields.

Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment (2022)
Journal Article
Mishra, S., Jena, L., Tripathy, H., & Gaber, T. (2022). Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment. PLoS ONE, 17(8), https://doi.org/10.1371/journal.pone.0272383

Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged into the Intelligence of Things concept. This recent trend enables sensors to track required parameters and store accumulated data in cloud storage,... Read More about Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment.

Low-cost, deep-sea imaging and analysis tools for deep-sea exploration: a collaborative design study (2022)
Journal Article
Bell, K., Chow, J., Hope, A., Quinzin, M., Cantner, K., Amon, D., …McClain, C. (2022). Low-cost, deep-sea imaging and analysis tools for deep-sea exploration: a collaborative design study. Frontiers in Marine Science, 9, https://doi.org/10.3389/fmars.2022.873700

A minuscule fraction of the deep sea has been scientifically explored and characterized due to several constraints, including expense, inefficiency, exclusion, and the resulting inequitable access to tools and resources around the world. To meet the... Read More about Low-cost, deep-sea imaging and analysis tools for deep-sea exploration: a collaborative design study.

Two decades of tuberculosis surveillance reveal disease spread, high levels of exposure and mortality and marked variation in disease progression in wild meerkats (2022)
Journal Article
Müller-Klein, N., Risely, A., Schmid, D. W., Manser, M., Clutton-Brock, T., & Sommer, S. (2022). Two decades of tuberculosis surveillance reveal disease spread, high levels of exposure and mortality and marked variation in disease progression in wild meerkats. Transboundary and Emerging Diseases, 69(6), 3274-3284. https://doi.org/10.1111/tbed.14679

Infections with tuberculosis (TB)-causing agents of the Mycobacterium tuberculosis complex threaten human, livestock and wildlife health globally due to the high capacity to cross trans-species boundaries. Tuberculosis is a cryptic disease characteri... Read More about Two decades of tuberculosis surveillance reveal disease spread, high levels of exposure and mortality and marked variation in disease progression in wild meerkats.