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Full-Text Articles in Physical Sciences and Mathematics
Breeding And Feeding Habitat Selection By An Island Endemic Bird May Increase Its Vulnerability To Climate Change, Paul M. Radley, Eddie J. B. Van Etten, David Blake, Robert A. Davis
Breeding And Feeding Habitat Selection By An Island Endemic Bird May Increase Its Vulnerability To Climate Change, Paul M. Radley, Eddie J. B. Van Etten, David Blake, Robert A. Davis
Research outputs 2014 to 2021
Characterizing patterns of habitat use is an important first step for effective conservation planning. Species restricted to low-lying islands are at greatest risk from climate change-related sea level rise, and requirements for breeding and foraging habitat may determine their risk from tidal inundation. The endangered Micronesian Scrubfowl (Megapodius laperouse senex) is a model species for understanding these impacts. This species faces the cumulative challenges of tourist visitation, invasive species, and rising sea levels, yet little is understood about its habitat use in the Rock Islands Southern Lagoon Conservation Area (RISL) of Palau. We studied the habitat requirements of this mound-nesting …
Heat Exposure Effect On Ghanaian Mining Workers: A Mediated-Moderation Approach, Victor Fannam Nunfam, Ebenezer Afrifa-Yamoah
Heat Exposure Effect On Ghanaian Mining Workers: A Mediated-Moderation Approach, Victor Fannam Nunfam, Ebenezer Afrifa-Yamoah
Research outputs 2014 to 2021
The lack of empirical evidence on the effect of heat exposure on the health and safety, productivity, psychological behaviour and social well-being outcomes of small- and large-scale mining workers in Africa has derailed concrete policy directions and interventions. An explanatory cross-sectional survey involving 320 small- and large-scale mining workers was used to assess this research gap. A path analysis was used to model health and safety, productivity, psychological behaviour and social well-being as a function of heat exposure, mediated and moderated by adaptation strategies and barriers, while controlling for age, gender, level of education, years of working experience and workplace …
Construct Validity And Invariance Assessment Of The Social Impacts Of Occupational Heat Stress Scale (Siohss) Among Ghanaian Mining Workers, Victor F. Nunfam, Ebenezer Afrifa-Yamoah, Kwadwo Adusei-Asante, Eddie J. Van Etten, Kwasi Frimpong, Isaac Adjei-Mensah, Jacques Oosthuizen
Construct Validity And Invariance Assessment Of The Social Impacts Of Occupational Heat Stress Scale (Siohss) Among Ghanaian Mining Workers, Victor F. Nunfam, Ebenezer Afrifa-Yamoah, Kwadwo Adusei-Asante, Eddie J. Van Etten, Kwasi Frimpong, Isaac Adjei-Mensah, Jacques Oosthuizen
Research outputs 2014 to 2021
Heat exposure studies over the last decade have shown little attention in assessing and reporting the psychometric properties of the various scales used to measure impacts of occupational heat stress on workers. A descriptive cross-sectional survey including 320 small- and large-scale mining workers was employed to assess the construct validity of the social impacts of occupational heat stress scale (SIOHSS) in the Western Region of Ghana in 2017. A confirmatory factor analysis (CFA) and invariance analysis were carried out using AMOS version 25 and statistical product and service solutions (SPSS) version 26 to examine the model fit and establish consistency …
Sub-Micron Moulding Topological Mass Transport Regimes In Angled Vortex Fluidic Flow, Thaar M. D. Alharbi, Matt Jellicoe, Xuan Luo, Kasturi Vimalanathan, Ibrahim K. Alsulami, Bediea S. Al Harbi, Aghil Igder, Fayed A. J. Alrashaidi, Xianjue Chen, Keith A. Stubbs, Justin M. Chalker, Wei Zhang, Ramiz A. Boulos, Darryl B. Jones, Jamie S. Quinton, Colin L. Raston
Sub-Micron Moulding Topological Mass Transport Regimes In Angled Vortex Fluidic Flow, Thaar M. D. Alharbi, Matt Jellicoe, Xuan Luo, Kasturi Vimalanathan, Ibrahim K. Alsulami, Bediea S. Al Harbi, Aghil Igder, Fayed A. J. Alrashaidi, Xianjue Chen, Keith A. Stubbs, Justin M. Chalker, Wei Zhang, Ramiz A. Boulos, Darryl B. Jones, Jamie S. Quinton, Colin L. Raston
Research outputs 2014 to 2021
Shear stress in dynamic thin films, as in vortex fluidics, can be harnessed for generating non-equilibrium conditions, but the nature of the fluid flow is not understood. A rapidly rotating inclined tube in the vortex fluidic device (VFD) imparts shear stress (mechanical energy) into a thin film of liquid, depending on the physical characteristics of the liquid and rotational speed,ω, tilt angle,θ, and diameter of the tube. Through understanding that the fluid exhibits resonance behaviours from the confining boundaries of the glass surface and the meniscus that determines the liquid film thickness, we have established specific topological mass transport regimes. …
Proteome And Nutritional Shifts Observed In Hordein Double-Mutant Barley Lines, Utpal Bose, Angéla Juhász, Ronald Yu, Mahya Bahmani, Keren Byrne, Malcolm Blundell, James A. Broadbent, Crispin A. Howitt, Michelle L. Colgrave
Proteome And Nutritional Shifts Observed In Hordein Double-Mutant Barley Lines, Utpal Bose, Angéla Juhász, Ronald Yu, Mahya Bahmani, Keren Byrne, Malcolm Blundell, James A. Broadbent, Crispin A. Howitt, Michelle L. Colgrave
Research outputs 2014 to 2021
Lysine is the most limiting essential amino acid in cereals, and efforts have been made over the decades to improve the nutritional quality of these grains by limiting storage protein accumulation and increasing lysine content, while maintaining desired agronomic traits. The single lys3 mutation in barley has been shown to significantly increase lysine content but also reduces grain size. Herein, the regulatory effect of the lys3 mutation that controls storage protein accumulation as well as a plethora of critically important processes in cereal seeds was investigated in double mutant barley lines. This was enabled through the generation of three hordein …
Deep Learning For 3d Ear Detection: A Complete Pipeline From Data Generation To Segmentation, Md Mursalin, Syed Mohammed Shamsul Islam
Deep Learning For 3d Ear Detection: A Complete Pipeline From Data Generation To Segmentation, Md Mursalin, Syed Mohammed Shamsul Islam
Research outputs 2014 to 2021
The human ear has distinguishing features that can be used for identification. Automated ear detection from 3D profile face images plays a vital role in ear-based human recognition. This work proposes a complete pipeline including synthetic data generation and ground-truth data labeling for ear detection in 3D point clouds. The ear detection problem is formulated as a semantic part segmentation problem that detects the ear directly in 3D point clouds of profile face data. We introduce EarNet, a modified version of the PointNet++ architecture, and apply rotation augmentation to handle different pose variations in the real data. We demonstrate that …
The Open Maritime Traffic Analysis Dataset, Martin Masek, Chiou Peng Lam, Travis Rybicki, Jacob Snell, Daniel Wheat, Luke Kelly, Damion Glassborow, Cheryl Smith-Gander
The Open Maritime Traffic Analysis Dataset, Martin Masek, Chiou Peng Lam, Travis Rybicki, Jacob Snell, Daniel Wheat, Luke Kelly, Damion Glassborow, Cheryl Smith-Gander
Research outputs 2014 to 2021
Ships traverse the world’s oceans for a diverse range of reasons, including the bulk transportation of goods and resources, carriage of people, exploration and fishing. The size of the oceans and the fact that they connect a multitude of different countries provide challenges in ensuring the safety of vessels at sea and the prevention of illegal activities. To assist with the tracking of ships at sea, the International Maritime Organisation stipulates the use of the Automatic Identification System (AIS) on board ships. The AIS system periodically broadcasts details of a ship’s position, speed and heading, along with other parameters corresponding …
Led Illumination Spectrum Manipulation For Increasing The Yield Of Sweet Basil (Ocimum Basilicum L.), Md Momtazur Rahman, Mikhail Vasiliev, Kamal Alameh
Led Illumination Spectrum Manipulation For Increasing The Yield Of Sweet Basil (Ocimum Basilicum L.), Md Momtazur Rahman, Mikhail Vasiliev, Kamal Alameh
Research outputs 2014 to 2021
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. Manipulation of the LED illumination spectrum can enhance plant growth rate and development in grow tents. We report on the identification of the illumination spectrum required to significantly enhance the growth rate of sweet basil (Ocimum basilicum L.) plants in grow tent environments by controlling the LED wavebands illuminating the plants. Since the optimal illumination spectrum depends on the plant type, this work focuses on identifying the illumination spectrum that achieves significant basil biomass improvement compared to improvements reported in prior studies. To be able to optimize the illumination spectrum, several …
Soil Carbon Stocks Vary Across Geomorphic Settings In Australian Temperate Tidal Marsh Ecosystems, Connor Gorham, Paul Lavery, Jeffrey J. Kelleway, Cristian Salinas, Oscar Serrano
Soil Carbon Stocks Vary Across Geomorphic Settings In Australian Temperate Tidal Marsh Ecosystems, Connor Gorham, Paul Lavery, Jeffrey J. Kelleway, Cristian Salinas, Oscar Serrano
Research outputs 2014 to 2021
Tidal marshes rank among the ecosystems with the highest capacity to sequester and store organic carbon (Corg) on earth. To inform conservation of coastal vegetated ecosystems for climate change mitigation, this study investigated the factors driving variability in carbon storage. We estimated soil Corg stocks in tidal marshes across temperate Western Australia and assessed differences among geomorphic settings (marine and fluvial deltas, and mid-estuary) and vegetation type (Sarcocornia quinqueflora and Juncus kraussii) linked to soil biogeochemistry. Soil Corg stocks within fluvial and mid-estuary settings were significantly higher (209 ± 14 and 211 ± 20 …
Green Underwater Wireless Communications Using Hybrid Optical-Acoustic Technologies, Kazi Y. Islam, Iftekhar Ahmad, Daryoush Habibi, M. Ishtiaque A. Zahed, Joarder Kamruzzaman
Green Underwater Wireless Communications Using Hybrid Optical-Acoustic Technologies, Kazi Y. Islam, Iftekhar Ahmad, Daryoush Habibi, M. Ishtiaque A. Zahed, Joarder Kamruzzaman
Research outputs 2014 to 2021
Underwater wireless communication is a rapidly growing field, especially with the recent emergence of technologies such as autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs). To support the high-bandwidth applications using these technologies, underwater optics has attracted significant attention, alongside its complementary technology – underwater acoustics. In this paper, we propose a hybrid opto-acoustic underwater wireless communication model that reduces network power consumption and supports high-data rate underwater applications by selecting appropriate communication links in response to varying traffic loads and dynamic weather conditions. Underwater optics offers high data rates and consumes less power. However, due to the severe …
Infrequent Pattern Detection For Reliable Network Traffic Analysis Using Robust Evolutionary Computation, A. N. M. Bazlur Rashid, Mohiuddin Ahmed, Al-Sakib K. Pathan
Infrequent Pattern Detection For Reliable Network Traffic Analysis Using Robust Evolutionary Computation, A. N. M. Bazlur Rashid, Mohiuddin Ahmed, Al-Sakib K. Pathan
Research outputs 2014 to 2021
While anomaly detection is very important in many domains, such as in cybersecurity, there are many rare anomalies or infrequent patterns in cybersecurity datasets. Detection of infrequent patterns is computationally expensive. Cybersecurity datasets consist of many features, mostly irrelevant, resulting in lower classification performance by machine learning algorithms. Hence, a feature selection (FS) approach, i.e., selecting relevant features only, is an essential preprocessing step in cybersecurity data analysis. Despite many FS approaches proposed in the literature, cooperative co-evolution (CC)-based FS approaches can be more suitable for cybersecurity data preprocessing considering the Big Data scenario. Accordingly, in this paper, we have …
Breeding And Feeding Habitat Selection By An Island Endemic Bird May Increase Its Vulnerability To Climate Change [Dataset], Paul Radley, Eddie Van Etten, David Blake, Robert Davis
Breeding And Feeding Habitat Selection By An Island Endemic Bird May Increase Its Vulnerability To Climate Change [Dataset], Paul Radley, Eddie Van Etten, David Blake, Robert Davis
Research Datasets
Characterising patterns of habitat use is an important first step for effective conservation planning. Species restricted to low-lying islands are at greatest risk from climate change-related sea level rise, and requirements for breeding and foraging habitat may determine their risk from tidal inundation. The endangered Micronesian Scrubfowl (Megapodius laperouse senex) is a model species for understanding these impacts. This species faces the cumulative challenges of tourist visitation, invasive species, and rising sea levels, yet little is understood about its habitat use in the Rock Islands Southern Lagoon Conservation Area (RISL) of Palau. We studied the habitat requirements of …