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    6045 research outputs found

    Visualising the Global Community: Women in STEM, Education, and the Workplace

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    Women often face unique challenges, which can go unnoticed by their peers, especially in education, workplace leadership, and the field of Science, Technology, Engineering, and Mathematics (STEM). This can lead to women facing obstacles in their careers due to gender stereotyping and discrimination. This project provides a starting point for people wanting to increase their awareness of these issues faced globally by women and initiatives that aim to combat them. To achieve this, a web-application was developed that displays interactive data visualisations using the D3.js JavaScript library. A user study was also undertaken to assess its effectiveness and usability

    Machine Learning Techniques for Fish Breeding Decision Making

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    The New Zealand Institute for Plant and Food Research has been working on creating breeding programs for the Australasian Snapper (Chrysophrys auratus) to breed snappers that mature faster and are high quality. Part of the breeding program goals is selecting individuals that produce quick-to-mature offspring. To accomplish this, they collected the genomic makeup of snappers into a dataset. However, the collected data does have missing values in some features, which require imputing to use those features to classify fish that grow fast and slow. As the genes responsible for controlling the growth rate in Snapper are currently unknown, the dataset must maintain most of the features to identify the genes most likely for controlling the snappers' growth rate. This project aimed to discover whether the data imputation methods used impacted the ability of a machine learning classifier to predict the growth rate and, if so, how different imputation methods performed. This project implemented five imputation methods, specifically Most Frequent imputation, K-Nearest Neighbour (KNN) imputation, Multiple Imputation by Chained Equations (MICE), a KNN approach using domain information, and a cascading KNN imputation method using domain information. The KNN and MICE approaches have two different parameter settings for imputation. This project evaluated these imputation techniques using a Random Forest classifier. The results showed that all imputation methods are robust to the test train split and random state used in the random forest classifier. The classification accuracies were similar between the imputation methods. Results indicated that domain-based imputation approaches did perform better than other imputation techniques. The results showed that using domain-based imputation techniques could improve the overall results of the imputation techniques

    Asian tauiwi and tangata whenua: Māori-Asian relationships and their implications for Aotearoa New Zealand’s constitutional future

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    This article traces the history of migration by Asian peoples to Aotearoa New Zealand and examines how their relationships with Māori has evolved and been influenced by the social, economic and political climate. Although Asian and Māori communities have often been pitted against each other by mainstream narratives, they share many common values and are natural allies – including in constitutional transformation. Despite perceptions to the contrary, there is strong compatibility between recognising te Tiriti and supporting Aotearoa’s ethnically and culturally diverse population. I argue that honouring te Tiriti is a foundational step towards addressing injustice and supporting all those who live in Aotearoa

    Opcodes to Images: A Framework for Early Detection of Ransomware by Utilising Machine Learning Techniques

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    Ransomware is a type of malware that can be used by attackers to encrypt data on a victim’s system and demand a ransom for the key. Ransomware is a devastating problem for individuals and businesses worldwide. The evolving world of technology opens the gates for information to be stolen and destroyed by ransomware, causing massive financial and personal data loss. To mitigate the harmful impact of ransomware, it is crucial to develop solutions that can prevent attacks by detecting them early. The problem with ransomware is that it is often not discovered on a system until it has run and by then it is too late to prevent all the damage it causes. This project addressed the problem by developing a Convolutional Neural Network (CNN) machine learning model trained on images created out of ransomware opcodes that will be able to classify a file as ransomware, detecting it on its way into a system

    A Perspective on Balance and the Role of Law

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    This article provides an overview of the "Roles and Perspectives in the Law" conference held in honour of the Rt Hon Sir Ivor Richardson and discusses the themes running through various areas of law by exploring the notion of balance. The varied perspectives in the conference papers demonstrate that, where interests are in opposition to each other, the law that regulates strikes a balance between them at some point. Palmer explores this idea through well-established "black-letter" law (such as employment, taxation, and commercial law) and the less established "red-letter" law (such as human rights, indigenous peoples' rights, and constitutional design). It is argued that judges have a crucial role to play in striking a balance in both categories of law. The author concludes that, whether it is black- or red-letter law, it is human behaviour that is being regulated; therefore, one must be careful not to divide human behaviour into neat categorical boxes

    The robustness of New Zealand’s policy advisory system: the case of the Oversight of Oranga Tamariki System and Children and Young People’s Commission Bill

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    Recent legislation reforming the oversight of Oranga Tamariki and the role of the children’s commissioner was met with all but universal opposition. A key concern was that locating monitoring of the care and protection of children with a government department (and not the commissioner) was too close to ministers to ensure the level of independence required for such a function. This article suggests that the public sector policy advisory system was not robust enough to come up with the optimal policy solution when, in effect, all others said it was wrong. The case gives cause for the public sector to reflect upon the quality of its advisory function

    Management accountants’ competence, accounting system, organizational structure, and management accountants’ expectation gap in Uganda

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    Purpose – This study aims to establish the existence of Management Accountant’s Expectation Gap and its perceived variability with management accountants’ competence, management accounting system and organizational structure. As a corollary, it examines the contribution made by management accountants’ competence, management accounting system and organizational structure in closing Management Accountant’s Expectation Gap. Design/methodology/approach – This study is cross-sectional and correlational, and it uses firm-level data that was collected by means of a questionnaire survey from a sample of 242 manufacturing firms in Kampala – Uganda. Findings – Results suggest that management accountants’ competence, management accounting system and organizational structure are significant predictors of Management Accountant’s Expectation Gap. Research limitations/implications – This study focuses on manufacturing firms in Uganda, and it is possible that these results are only applicable to the manufacturing sector. More research is therefore needed to further understand the contribution of management accountants’ competence, management accounting system and organizational structure in narrowing Management Accountant’s Expectation Gap in other sectors such as the accounting firms. Practical implications – The results suggest that policy makers prescribe qualifications for management accountants and outlining roles of management accountants in the accountants’ act 2013 to ensure that management accountants engage in the right roles thus closing the Management Accountant’s Expectation Gap. Originality/value – According to Budding and Wassenaar (2021) study, there is a Management Accountant’s Expectation Gap however, no research has hitherto been undertaken that investigates the individual contribution of Management accountants’ competence, management accounting system, organizational structure in closing the gap

    Lifting the quality and effectiveness of mathematics education provision in English-medium schools in Aotearoa New Zealand: What will it take?

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    Mathematics education in English-medium schools in Aotearoa New Zealand currently reproduces inequity. There is widespread concern about overall levels of student achievement and who participates and who succeeds. Rapid, and accelerating, social and technological change impacts what students need to know in mathematics and statistics and increases its significance. There are fundamental debates about how mathematics education should respond to inequity and rapid change. Content and pedagogy are both contested spaces. Research in mathematics education tends to exacerbate rather than resolve this contestation. In this cacophony it is hard to hear marginalised voices and yet these groups are the most impacted by current practices. Mathematics education is entwined with other curriculum areas and has far-reaching consequences; therefore, policy has to treat improving system performance as a complex problem requiring intervention at multiple levels to achieve equitable outcomes for students

    A Variety of DeMorgan Negations in Relevant Logics

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    The present paper is inspired by Sylvan and Plumwood’s logicBM defined in “Non-normal relevant logics” and by their treatmentof negation with the ∗-operator in “The semantics of first-degree en-tailment”. Given a positive logic L including Routley and Meyer’sbasic positive logic and included in either the positive fragment of Eor in that of RW, we investigate the essential De Morgan negation ex-pansions of L and determine all the deductive relations they maintainto each other. A Routley-Meyer semantics is provided for each logicdefined in the paper

    Corsica, New Zealand and Human Rights

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    The American and French revolutionaries of 1776 and 1789–1793 invoked the sovereignty of the people to dethrone their kings and make declarations of human rights. In 1755 and 1794, the people of Corsica invoked the same principle to declare their independence first from Genoa and then from France. By agreement with Britain, in 1794 they adopted a constitution guaranteeing human rights, and elected George III to be their king. In the 1830s, under threat from foreign forces, representatives of the people of New Zealand invoked the same principle. They declared their independence and by agreement with Britain they enthroned Queen Victoria on condition of obtaining guarantees of all the rights and privileges of British subjects. By these agreements that are less well known than the revolutions of 1776 and 1789 Britain accepted the sovereignty of both British and foreign peoples as exercised through their representatives, of an elected monarchy and of the duty of governments to guarantee human rights in England and in the Empire

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