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Outputs (382)

Evaluation of the role of p53 tumour suppressor posttranslational modifications and TTC5 cofactor in lung cancer (2021)
Journal Article

Mutations in the p53 tumor suppressor are found in over 50% of cancers. p53 function is controlled through posttranslational modifications and cofactor interactions. In this study, we investigated the posttranslationally modified p53, including p53 a... Read More about Evaluation of the role of p53 tumour suppressor posttranslational modifications and TTC5 cofactor in lung cancer.

Congruence of local ecological knowledge (LEK)‐based methods and line‐transect surveys in estimating wildlife abundance in tropical forests (2021)
Journal Article

Effective estimation of wildlife population abundance is an important component of population monitoring, and ultimately essential for the development of conservation actions. Diurnal line-transect surveys are one of the most applied methods for abun... Read More about Congruence of local ecological knowledge (LEK)‐based methods and line‐transect surveys in estimating wildlife abundance in tropical forests.

Numerical study of interface tracking for the unsteady flow of two immiscible micropolar and Newtonian fluids through a horizontal channel with an unstable interface (2021)
Journal Article

The dynamics of the interaction between immiscible fluids is relevant to numerous complex
flows in nature and industry, including lubrication and coating processes, oil extraction, physicochemical
separation techniques etc. In this article, the uns... Read More about Numerical study of interface tracking for the unsteady flow of two immiscible micropolar and Newtonian fluids through a horizontal channel with an unstable interface.

A new species of mammalian trypanosome, Trypanosoma (Megatrypanum) bubalisi sp. nov., found in the freshwater leech Hirudinaria manillensis (2021)
Journal Article
Su, B., Wang, J., Yang, T., Hide, G., Lai, D., & Lun, Z. (2021). A new species of mammalian trypanosome, Trypanosoma (Megatrypanum) bubalisi sp. nov., found in the freshwater leech Hirudinaria manillensis. International Journal for Parasitology, https://doi.org/10.1016/j.ijpara.2021.10.009

Leeches have long been considered potential vectors for the aquatic lineage of trypanosomes, while bloodsucking insects are generally considered as the vectors for the terrestrial lineage of trypanosomes. The freshwater leech, Hirudinaria manillensis... Read More about A new species of mammalian trypanosome, Trypanosoma (Megatrypanum) bubalisi sp. nov., found in the freshwater leech Hirudinaria manillensis.

Mining text from natural scene and video images: A survey (2021)
Journal Article
Shivakumara, P., Alaei, A., & Pal, U. (2021). Mining text from natural scene and video images: A survey. Data Mining and Knowledge Discovery, 11(6), https://doi.org/10.1002/widm.1428

In computer terminology, mining is considered as extracting meaningful information or knowledge from a large amount of data/information using computers. The meaningful information can be extracted from normal text, and images obtained from different... Read More about Mining text from natural scene and video images: A survey.

A deep action-oriented video image classification system for text detection and recognition (2021)
Journal Article
Chaudhuri, A., Shivakumara, P., Nath Chowdhury, P., Pal, U., Lu, T., Lopresti, D., & Hemantha Kumar, G. (2021). A deep action-oriented video image classification system for text detection and recognition. SN Applied Sciences, 3, Article 838. https://doi.org/10.1007/s42452-021-04821-z

For the video images with complex actions, achieving accurate text detection and recognition results is very challenging. This paper presents a hybrid model for classification of action-oriented video images which reduces the complexity of the proble... Read More about A deep action-oriented video image classification system for text detection and recognition.

Unsteady magnetohydrodynamic couple stress fluid flow from a shrinking porous sheet: Variational iteration method study (2021)
Journal Article
Reddy, G. J., Hiremath, A., Kumar, M., Beg, O., & Kadir, A. (2022). Unsteady magnetohydrodynamic couple stress fluid flow from a shrinking porous sheet: Variational iteration method study. Heat Transfer, 51(2), 2219-2236. https://doi.org/10.1002/htj.22397

AbstractMotivated by magnetic polymer manufacturing applications, the present research article examines theoretically the hydromagnetic boundary layer flow of an electrically conducting non‐Newtonian couple stress fluid due to a transient shrinking (... Read More about Unsteady magnetohydrodynamic couple stress fluid flow from a shrinking porous sheet: Variational iteration method study.

How can UK housing projects be brought in line with net-zero carbon emission targets? (2021)
Journal Article
Jankovic, L., Bharadwaj, P., & Carta, S. (2021). How can UK housing projects be brought in line with net-zero carbon emission targets?. Built Environment, 7, Article 754733. https://doi.org/10.3389/fbuil.2021.754733

Numerous local authorities are committed to constructing buildings to net-zero carbon emissions performance, and have declared carbon emergency, striving to reach carbon neutrality well before 2050. However, buildings in the UK are currently being de... Read More about How can UK housing projects be brought in line with net-zero carbon emission targets?.

Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks (2021)
Journal Article
Sugar-Gabor, O. (2021). Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks. International Journal of Computer Applications in Technology, 66(1), 36-50. https://doi.org/10.1504/IJCAT.2021.119603

A non-intrusive reduced-order model for nonlinear parametric flow
problems is developed. It is based on extracting a reduced-order basis from
full-order snapshots via proper orthogonal decomposition and using both deep
and shallow neural network a... Read More about Reduced-order modelling of parameterised incompressible and compressible unsteady flow problems using deep neural networks.