Skip to main content

Research Repository

Advanced Search

All Outputs (525)

Gaps in terrestrial soundscape research : it’s time to focus on tropical wildlife (2019)
Journal Article
Scarpelli, M., Ribeiro, M., Teixeira, F., Young, R., & Teixeira, C. (2020). Gaps in terrestrial soundscape research : it’s time to focus on tropical wildlife. Science of the Total Environment, 707, 135403. https://doi.org/10.1016/j.scitotenv.2019.135403

There has been a body of research examining the sounds produced in landscapes. These sounds are commonly defined as soundscapes, however, the term is often used in different contexts. To understand the various meanings attributed to soundscapes, we i... Read More about Gaps in terrestrial soundscape research : it’s time to focus on tropical wildlife.

The effects of rosiglitazone on the neonatal rat cardiomyocyte transcriptome: a temporal analysis (2019)
Journal Article
Abraham da Silveira, W., Vazquez-Hidalgo, E., Bartolotta, E., Renaud, L., Paolini, P., & Hardiman, G. (2019). The effects of rosiglitazone on the neonatal rat cardiomyocyte transcriptome: a temporal analysis. Pharmacogenomics, 20(16), 1125-1141. https://doi.org/10.2217/pgs-2019-0077

Aim: The objective was to determine via high-throughput RNA sequencing the temporal effects of rosiglitazone (Avandia®) on the neonatal rat ventricular myocyte transcriptome.

Materials & methods: Neonatal rat ventricular myocytes (NRVMs) were exp... Read More about The effects of rosiglitazone on the neonatal rat cardiomyocyte transcriptome: a temporal analysis.

A cloud-hosted MapReduce architecture for syntactic parsing (2019)
Conference Proceeding
Woldemariam, Y., Pletschacher, S., Clausner, C., & Bass, J. (2019). A cloud-hosted MapReduce architecture for syntactic parsing. In Kallithea, Greece. https://doi.org/10.1109/SEAA.2019.00024

Syntactic parsing is a time-consuming task innatural language processing particularlywherea largenumber of text files are beingprocessed. Parsingalgorithms are conventionally designed to operate on a single machine in a sequenti... Read More about A cloud-hosted MapReduce architecture for syntactic parsing.

Life cycle carbon emissions and comparative evaluation of selected open source UK embodied carbon counting tools (2019)
Journal Article
Ekundayo, D., Babatunde, S., Ekundayo, A., Perera, S., & Udeaja, C. (2019). Life cycle carbon emissions and comparative evaluation of selected open source UK embodied carbon counting tools. Construction Economics and Building, 19(2), 220-242. https://doi.org/10.5130/AJCEB.v19i2.6692

Life cycle carbon emissions (LCO2), made up of operational and embodied carbon, have become a major metric of building environmental performance and energy efficiency. Whilst there are now standard methods for operational carbon assessment due to its... Read More about Life cycle carbon emissions and comparative evaluation of selected open source UK embodied carbon counting tools.

An improved two-hidden-layer extreme learning machine for malware hunting (2019)
Journal Article
Namavar Jahromi, A., Hashemi, S., Dehghantanha, A., Choo, K., Karimipour, H., Newton, D., & Parizi, R. (2020). An improved two-hidden-layer extreme learning machine for malware hunting. Computers and Security, 89, 101655. https://doi.org/10.1016/j.cose.2019.101655

Detecting unknown malware and their variants remains both an operational challenge and a research challenge. In recent years, there have been attempts to design machine learning techniques to increase the success of existing automated malware detecti... Read More about An improved two-hidden-layer extreme learning machine for malware hunting.

Dynamic thermal simulation of advanced natural ventilation in buildings : current and future usage, UK exemplar (2019)
Journal Article
Ji, Y., Lee, A., & Fernando, T. (2020). Dynamic thermal simulation of advanced natural ventilation in buildings : current and future usage, UK exemplar. Architectural Engineering and Design Management, 16(4), 293-309. https://doi.org/10.1080/17452007.2019.1693334

This paper evaluates the use of advanced natural ventilation (ANV) strategies in a range of climatic conditions from four cities in the UK. A prototype ANV system was proposed to determine the most effective case in mitigating overheating. The case w... Read More about Dynamic thermal simulation of advanced natural ventilation in buildings : current and future usage, UK exemplar.

Mixed-cropping between field pea varieties alters root bacterial and fungal communities (2019)
Journal Article
Horner, A., Browett, S., & Antwis, R. (2019). Mixed-cropping between field pea varieties alters root bacterial and fungal communities. Scientific reports, 9(16953), https://doi.org/10.1038/s41598-019-53342-8

Modern agricultural practices have vastly increased crop production but negatively affected soil health. As such, there is a call to develop sustainable, ecologically-viable approaches to food production. Mixed-cropping of plant varieties can increas... Read More about Mixed-cropping between field pea varieties alters root bacterial and fungal communities.

PROUD : verifiable privacy-preserving outsourced attribute based signcryption supporting access policy update for cloud assisted IoT applications (2019)
Journal Article
Belguith, S., Kaaniche, N., Hammoudeh, M., & Dargahi, T. (2020). PROUD : verifiable privacy-preserving outsourced attribute based signcryption supporting access policy update for cloud assisted IoT applications. Future Generation Computer Systems, 111, 899-918. https://doi.org/10.1016/j.future.2019.11.012

The ever-growing number of Internet connected devices poses several cybersecurity risks. Most of the exchanged data between the
Internet of Things (IoT) devices are not adequately secured due to resource constraints on IoT devices. Attribute Based... Read More about PROUD : verifiable privacy-preserving outsourced attribute based signcryption supporting access policy update for cloud assisted IoT applications.

An affordable methodology for quantifying waterborne microplastics - an emerging contaminant in inland-waters (2019)
Journal Article
Dunn, C., Owens, J., Fears, L., Nunnerley, L., Kirby, J., Armstrong, O., …Freeman, C. (2020). An affordable methodology for quantifying waterborne microplastics - an emerging contaminant in inland-waters. Journal of Limnology, 79(1), https://doi.org/10.4081/jlimnol.2019.1943

The occurrence of microplastics in marine habitats is well documented and of growing concern. The presence of these small (<5 mm) pieces of plastic is less well recorded in inland water systems. In this paper, we determine a cost-efficient and straig...

Biochemical performance modelling of non-vegetated and vegetated vertical subsurface-flow constructed wetlands treating municipal wastewater in hot and dry climate (2019)
Journal Article
Rahi, M., Faisal, A., Naji, L., Almuktar, S., Abed, S., & Scholz, M. (2020). Biochemical performance modelling of non-vegetated and vegetated vertical subsurface-flow constructed wetlands treating municipal wastewater in hot and dry climate. Journal of Water Process Engineering, 33, https://doi.org/10.1016/j.jwpe.2019.101003

Wastewater treatment and subsequent effluent recycling for non-drinking purposes such as irrigation contributes to the mitigation of the pressure on freshwater resources. In this study, two vertical sub-surface flow constructed wetland (VSSF-CW) pilo... Read More about Biochemical performance modelling of non-vegetated and vegetated vertical subsurface-flow constructed wetlands treating municipal wastewater in hot and dry climate.

Building organisational capacities for effective e-waste management: a conceptual framework (2019)
Presentation / Conference
Azeem, A., Mallawarachchi, H., & Hemba Geekiyanage, M. (2019, November). Building organisational capacities for effective e-waste management: a conceptual framework. Presented at 8th World Construction Symposium, Colombo, Sri Lanka

Globally, e-waste generation rises in parallel to the increased consumption of e-products. Management of this complex waste stream becomes a severe challenge, especially for developing countries. Sri Lanka also no exception to this problem due to the... Read More about Building organisational capacities for effective e-waste management: a conceptual framework.

Thioalbamide, a thioamidated peptide from amycolatopsis alba, affects tumor growth and stemness by inducing metabolic dysfunction and oxidative stress (2019)
Journal Article
Frattaruolo, L., Fiorillo, M., Brindisi, M., Curcio, R., Dolce, V., Lacret, R., …Cappello, A. (2019). Thioalbamide, a thioamidated peptide from amycolatopsis alba, affects tumor growth and stemness by inducing metabolic dysfunction and oxidative stress. Cells, 8(11), e1408. https://doi.org/10.3390/cells8111408

Thioalbamide, a thioamidated peptide biosynthesized by Amycolatopsis alba, is a thioviridamide-like molecule, and is part of a family of natural products representing a focus of biotechnological and pharmaceutical research in recent years due to thei... Read More about Thioalbamide, a thioamidated peptide from amycolatopsis alba, affects tumor growth and stemness by inducing metabolic dysfunction and oxidative stress.

Predominant mechanisms for the removal of nickel metal ion from aqueous solution using cement kiln dust (2019)
Journal Article
Abd Ali, Z., Naji, L., Almuktar, S., Faisal, A., Abed, S., Scholz, M., …Ahamad, T. (2020). Predominant mechanisms for the removal of nickel metal ion from aqueous solution using cement kiln dust. Journal of Water Process Engineering, 33, https://doi.org/10.1016/j.jwpe.2019.101033

The experimental methodology achieved in the present study signified that
the adsorption and precipitation were mainly mechanisms occurred together in the
removal of nickel from aqueous solutions by sorption using cement kiln dust (CKD)
byproduct... Read More about Predominant mechanisms for the removal of nickel metal ion from aqueous solution using cement kiln dust.

Predictive modelling in mental health : a data science approach (2019)
Presentation / Conference
Saraee, M., Silva, H., & Saraee, M. (2019, November). Predictive modelling in mental health : a data science approach. Presented at 2019 IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (IEEE CSUDET), Penang, Malaysia

In national and local level, understanding of factors associated with public health issues like mental health is paramount important. This framework evaluation aims to use the decision Tree technique to improve the degree of understanding of the ment... Read More about Predictive modelling in mental health : a data science approach.

Predicting road traffic accident severity using decision trees and time-series calendar heatmaps (2019)
Presentation / Conference
Silva, H., & Saraee, M. (2019, November). Predicting road traffic accident severity using decision trees and time-series calendar heatmaps. Presented at The 6th IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (2019 IEEE CSUDET), Penang, Malaysia

The European Commission estimates that around
135,000 people are seriously injured on Europe's roads each
year. The road traffic injuries are a significant but neglected
global general public health problem, needing rigorous attempts
for effectiv... Read More about Predicting road traffic accident severity using decision trees and time-series calendar heatmaps.

Extremes in Benthic ecosystem services; blue carbon natural capital shallower than 1000 m in isolated, small, and young Ascension Island’s EEZ (2019)
Journal Article
Barnes, D., Sands, C., Richardson, A., & Smith, N. (2019). Extremes in Benthic ecosystem services; blue carbon natural capital shallower than 1000 m in isolated, small, and young Ascension Island’s EEZ. Frontiers in Marine Science, 6, https://doi.org/10.3389/fmars.2019.00663

Biodiversity tends to decrease with increasing isolation and reduced habitat size, and increase with habitat age. Ascension Island and its seamounts are small, isolated and relatively young, yet harbor patchily dense life. Large areas of these waters... Read More about Extremes in Benthic ecosystem services; blue carbon natural capital shallower than 1000 m in isolated, small, and young Ascension Island’s EEZ.

Analyzing frequent patterns in data streams using a dynamic compact stream pattern algorithm (2019)
Thesis
Oyewale, A. (in press). Analyzing frequent patterns in data streams using a dynamic compact stream pattern algorithm. (Thesis). University of Salford

As a result of modern technology and the advancement in communication, a large amount of data streams are continually generated from various online applications, devices and sources. Mining frequent patterns from these streams of data is now an impor... Read More about Analyzing frequent patterns in data streams using a dynamic compact stream pattern algorithm.