Welcome to Massey Research Online


Massey Research Online is an open access digital archive of the research and scholarship of Massey University and is jointly managed by the University Library and Information Technology Services.

Massey Research Online contains research theses and research outputs including published work by Massey University students and academic staff as well as peer-reviewed material not published elsewhere. In the case of previously published research outputs all requirements of copyright owners are observed.

Items in Massey Research Online are fully indexed and searchable on Google Scholar and NZ Research.

To submit research outputs to Massey Research Online, check out the Depositing content to MRO page. For all other queries, email the Library.

 

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Recent Submissions

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Networked media and information ocean literacy: a transformative approach for UN ocean decade
(Springer Nature Limited, 2024-01-10) Gerhardinger LC; Colonese AC; Martini RG; da Silveira I; Zivian A; Herbst DF; Glavovic B; Calvo ST; Christie P
The United Nations’ Ocean Decade calls for co-designing transformative science, ocean networks, and learning strategies to address ocean health decline and deep-blue social divides in ocean governance. Yet the transformative capacity to advance ocean sustainability pathways shared by the UN Ocean Decade ecosystem of partners is still under-realized in the early stages of this global campaign. This paper explores the conceptual and institutional implications of the combined use of marine learning networks (MLNs) and media and information ocean literacy (MIOL) approaches to strengthen capacities for ocean governance systems’ transformation (leadership, strategies, skills, and actions). We build upon an empirical case study of the self-organized, youth-led Brazilian Future Ocean Panel, applying a regional alternative to such a combined approach (namely Social-Environmental Educommunication) during a four-year transdisciplinary program. We reveal the synergistic benefits of MLNs and MIOL in empowering early-career ocean professionals and fostering their transformative capacity in ocean policymaking. Our findings emphasize the practical implications of these approaches for advancing ocean governance systems transformations in other regions. Insights are shared on MLNs and MIOL applications in the pursuit of transdisciplinary solutions, ocean governance transformation, capacity development, and effective responses to foundational challenges facing the UN Ocean Decade’s global efforts toward sustainability.
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Bio-Inspired Energy-Efficient Cluster-Based Routing Protocol for the IoT in Disaster Scenarios.
(MDPI (Basel, Switzerland), 2024-08-19) Ahmed S; Hossain MA; Chong PHJ; Ray SK; Farhan M; Mahmood K; Jabbar S
The Internet of Things (IoT) is a promising technology for sensing and monitoring the environment to reduce disaster impact. Energy is one of the major concerns for IoT devices, as sensors used in IoT devices are battery-operated. Thus, it is important to reduce energy consumption, especially during data transmission in disaster-prone situations. Clustering-based communication helps reduce a node's energy decay during data transmission and enhances network lifetime. Many hybrid combination algorithms have been proposed for clustering and routing protocols to improve network lifetime in disaster scenarios. However, the performance of these protocols varies widely based on the underlying network configuration and the optimisation parameters considered. In this research, we used the clustering parameters most relevant to disaster scenarios, such as the node's residual energy, distance to sink, and network coverage. We then proposed the bio-inspired hybrid BOA-PSO algorithm, where the Butterfly Optimisation Algorithm (BOA) is used for clustering and Particle Swarm Optimisation (PSO) is used for the routing protocol. The performance of the proposed algorithm was compared with that of various benchmark protocols: LEACH, DEEC, PSO, PSO-GA, and PSO-HAS. Residual energy, network throughput, and network lifetime were considered performance metrics. The simulation results demonstrate that the proposed algorithm effectively conserves residual energy, achieving more than a 17% improvement for short-range scenarios and a 10% improvement for long-range scenarios. In terms of throughput, the proposed method delivers a 60% performance enhancement compared to LEACH, a 53% enhancement compared to DEEC, and a 37% enhancement compared to PSO. Additionally, the proposed method results in a 60% reduction in packet drops compared to LEACH and DEEC, and a 30% reduction compared to PSO. It increases network lifetime by 10-20% compared to the benchmark algorithms.
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Higher socioeconomic deprivation in areas predicts cognitive decline in New Zealanders without cognitive impairment
(Springer Nature Limited, 2024-11-16) Röhr S; Gibson RH; Alpass FM
Previous studies identified individual-level socioeconomic factors as key determinants of cognitive health. This study investigated the effect of area-based socioeconomic deprivation on cognitive outcomes in midlife to early late-life New Zealanders without cognitive impairment at baseline. Data stemmed from a subsample of the New Zealand Health, Work and Retirement Study, a cohort study on ageing, who completed face-to-face interviews and were reassessed two years later. Cognitive functioning was measured using Addenbrooke's Cognitive Examination-Revised, adapted for culturally acceptable use in Aotearoa New Zealand. Area-based socioeconomic deprivation was assessed using the New Zealand Deprivation Index (NZDep2006). Linear mixed-effects models analysed the association between area-based socioeconomic deprivation and cognitive outcomes. The analysis included 783 participants without cognitive impairment at baseline (54.7% female, mean age 62.7 years, 25.0% Māori, the Indigenous people of Aotearoa New Zealand). There was an association between higher area-based socioeconomic deprivation and lower cognitive functioning (B = -0.08, 95%CI: -0.15;-0.01; p = .050) and cognitive decline (B = -0.12, 95%CI: -0.20;-0.04, p = .013) over two years, while controlling for covariates. The findings emphasise the importance of considering neighbourhood characteristics and broader socioeconomic factors in strategies aimed at mitigating cognitive health disparities and reducing the impact of dementia in disadvantaged communities.
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Genomic diversity of Campylobacter jejuni and Campylobacter coli isolates recovered from human and poultry in Australia and New Zealand, 2017 to 2019.
(Microbiology Society, 2024-11-05) Cribb DM; Biggs PJ; McLure AT; Wallace RL; French NP; Glass K; Kirk MD
We used genomic and epidemiological data to assess and compare the population structure and origins of Campylobacter, a major foodborne pathogen, in two neighbouring countries with strong trade and cultural links, similar poultry production systems and frequent movement of people and food products. The most common sequence types (STs) differed between Australia and New Zealand, with many unique to each country. Over half of all STs were represented by a single isolate. Multidrug-resistant (MDR) genotypes were detected in 0.8% of all samples, with no MDR isolates detected in poultry. Quinolone and tetracycline resistant ST6964 was prevalent in New Zealand (10.6% of C. jejuni). Closely related isolates suggested some similar food sources or contacts. We have shown that there is little genetic overlap in human and poultry STs of Campylobacter between the countries, which highlights that this common foodborne pathogen has domestic origins in Australia and New Zealand.
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