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Outputs (15206)

Item 6: Peel Park and Meadows Wild Walk (2020)
Data

This third output is an audio walk, created to guide participants round two green spaces in East Salford, prompting them to pay attention to wildness in the parks and their surroundings.

St John's, Manchester (2020)
Data

Archaeological investigation prior to the development of St John's in Manchester

Using regression tree analysis to determine size class intervals and sexual dimorphism in the Morelet's crocodile Crocodylus moreletii (2020)
Journal Article
Padilla, S. E., González-Jáuregui, M., Rendón Von Osten, J., Valdespino, C., López Luna, M. A., Quiróz, G. B., & Barão-Nóbrega, J. (2020). Using regression tree analysis to determine size class intervals and sexual dimorphism in the Morelet's crocodile Crocodylus moreletii. Wildlife Biology, 2020(4), wlb.00707. https://doi.org/10.2981/wlb.00707

Assignment of Morelet's crocodile Crocodylus moreletii individuals into size groups or classes based on ecological and morphological similarities has not yet been associated with species-specific ontogeny related changes. Age or size of first reprodu... Read More about Using regression tree analysis to determine size class intervals and sexual dimorphism in the Morelet's crocodile Crocodylus moreletii.

Understanding nanomechanical and surface ellipsometry of optical F-doped SnO2 thin films by in-line APCVD (2020)
Journal Article
Afzaal, M., Yates, H., Al-Ahmed, A., Ul-Hamid, A., Salhi, B., & Ali, M. (2020). Understanding nanomechanical and surface ellipsometry of optical F-doped SnO2 thin films by in-line APCVD. Applied Physics A, 126, 840. https://doi.org/10.1007/s00339-020-04033-z

In this paper, a production-type chemical vapour deposition (CVD) is utilized to deposit fluorine
doped tin oxide thin films of different thicknesses and dopant levels. Deposited films showed a
preferred orientation along the (200) plane of a tetra... Read More about Understanding nanomechanical and surface ellipsometry of optical F-doped SnO2 thin films by in-line APCVD.

Computation of radiative Marangoni (thermocapillary) magnetohydrodynamic convection in Cu-water based nanofluid flow from a disk in porous media : smart coating simulation (2020)
Journal Article
Shamshuddin, M., Mishra, S., Beg, O., Beg, T., & Kadir, A. (2021). Computation of radiative Marangoni (thermocapillary) magnetohydrodynamic convection in Cu-water based nanofluid flow from a disk in porous media : smart coating simulation. Heat Transfer, 50(3), 1931-1950. https://doi.org/10.1002/htj.21963

With emerging applications for smart and intelligent coating systems in energy, there has been increasing activity
in researching magnetic nano nanomaterial coating flows. Surface tension features significantly in such regimes,
and in presence of h... Read More about Computation of radiative Marangoni (thermocapillary) magnetohydrodynamic convection in Cu-water based nanofluid flow from a disk in porous media : smart coating simulation.

Mellor, Stockport (2020)
Data

Community excavation of Mellor Mill and associated structures.
Revealing Oldknow's Legacy

An experimental exploration of the properties of random frequency response functions (2020)
Journal Article
Clot, A., Meggitt, J., Langley, R., Elliott, A., & Moorhouse, A. (2021). An experimental exploration of the properties of random frequency response functions. Journal of Sound and Vibration, 491, 115773. https://doi.org/10.1016/j.jsv.2020.115773

The vibro-acoustic analysis of complex structures over a broadband frequency range is an extremely challenging problem that may often require the use of a hybrid deterministic-statistical approach. Due to manufacturing imperfections, the frequency re... Read More about An experimental exploration of the properties of random frequency response functions.

Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers (2020)
Journal Article
Saleem, M. H., Potgieter, J., & Arif, K. M. (2020). Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers. Plants, 9(10), 1319. https://doi.org/10.3390/plants9101319

Recently, plant disease classification has been done by various state-of-the-art deep learning (DL) architectures on the publicly available/author generated datasets. This research proposed the deep learning-based comparative evaluation for the class... Read More about Plant Disease Classification: A Comparative Evaluation of Convolutional Neural Networks and Deep Learning Optimizers.