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University of Otago

1. Vieira Avendaño, Carla Catherine. Addressing the different information needs of diverse visitors to Arthur’s Pass National Park .

Degree: 2012, University of Otago

The New Zealand landmass encompasses a vast diversity of wilderness areas, including fourteen national parks and other conservation lands. These natural environments attract a large number of domestic and international visitors, who consult a many different sources of on-line and printed information before and during their visit. However, these resources are usually designed to suit a generic visitor, and take no account of the different needs and expectation of diverse individuals. In this thesis, I investigate the use of information resources by different users groups as categorized by the Wilderness Perception Scaling (WPS) method. I begin with a review of relevant studies and statistics relating to domestic and international visitors’ experiences of the New Zealand wilderness. I then report on the results of my direct observations of visitors to three destinations, and I discuss the findings that I gathered from surveys that I conducted in two of these locations. This work includes pilot studies of two sites — the Catlins Conservation Park and the Orokonui Ecosanctuary — and a more detailed study of Arthur’s Pass National Park. Following a discussion of my observations and findings, I argue for a redesign of the Department of Conservation (DOC) Website, and I present sketch ideas for a new site that is informed by mobile media interface designs. This work hints at future possibilities for smartphone applications. I conclude that current technologies allow us to address the needs and expectations of different visitors to wilderness areas. Furthermore, I argue that mobile media can enable individuals to create and share, as well as download and use, information resources that address their various and different requirements. I conclude that, if we want younger people to engage with wilderness environments, we should be using the technologies that they are using. Advisors/Committee Members: McGuire, Mark (advisor).

Subjects/Keywords: WPS; Wilderness; Perceptions; Smartphone; application; DOC; website; domestic; international; visitors; statistics; tourism; carla; vieira; design; icons; iphone; mobile; socila; network; feedback; sharing; information; experiences; environments; conervation; backpack; iSite; Visitor; Centre; Trampers; Non-Purist; Moderate-Purist; Neutralist-Purist; Strong-Purist; Stankey; Kearsley; Lovelock; Highman; Wolch; Tinsley; Recreation; Orokonui-Ecosanctuary; Catlins; Outdoor-recreation; Klisley; Ho; Carr-Williams; Satisfaction; Arthur's Pass; New Zealand; National Park

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vieira Avendaño, C. C. (2012). Addressing the different information needs of diverse visitors to Arthur’s Pass National Park . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/2548

Chicago Manual of Style (16th Edition):

Vieira Avendaño, Carla Catherine. “Addressing the different information needs of diverse visitors to Arthur’s Pass National Park .” 2012. Masters Thesis, University of Otago. Accessed January 20, 2021. http://hdl.handle.net/10523/2548.

MLA Handbook (7th Edition):

Vieira Avendaño, Carla Catherine. “Addressing the different information needs of diverse visitors to Arthur’s Pass National Park .” 2012. Web. 20 Jan 2021.

Vancouver:

Vieira Avendaño CC. Addressing the different information needs of diverse visitors to Arthur’s Pass National Park . [Internet] [Masters thesis]. University of Otago; 2012. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10523/2548.

Council of Science Editors:

Vieira Avendaño CC. Addressing the different information needs of diverse visitors to Arthur’s Pass National Park . [Masters Thesis]. University of Otago; 2012. Available from: http://hdl.handle.net/10523/2548


York University

2. Konini, Silva. Scale-Free Networks in Molecular Biology: Algorithms and Random Walks Analyses.

Degree: PhD, Mathematics & Statistics, 2018, York University

In this research, I focus on I) the mean field analysis of algorithms for scale-free networks in molecular biology and II) the analysis of biological networks using random walks and related algorithms. I: Many systems in nature and society are described by means of complex networks. Research indicates that these complex networks exhibit scale-free properties. Studying the organizing principles of scale-free networks has significant implications in different fields including developing better drugs, defending the internet from hackers, halting the spread of deadly epidemics, developing marketing strategies, etc. The sampling of scale-free networks in molecular biology is usually achieved by growing networks from a seed using recursive algorithms with elementary moves which include the addition and deletion of nodes and bonds. These algorithms include the Barabasi-Albert algorithm. Later algorithms, such as the Duplication-Divergence algorithm, the Sole algorithm and the iSite algorithm, were inspired by biological processes underlying the evolution of protein networks, and the networks they produce differ essentially from networks grown by the Barabasi-Albert algorithm. The mean field analysis of these algorithms is reconsidered, and extended to variant and modified implementations of the algorithms. II: The second part of this research focuses on improving biological networks using random walks and related algorithms. I use different algorithms with the goal of finding highly connected hubs and clusters of proteins which are closely related to one another. This is done by building up protein-protein interaction networks and miRNA-gene interaction networks which are then subjected to the action of two algorithms. The first algorithm used is the random walk with resistance algorithm. As an alternative, I am proposing solving the lattice laplacian on a network as a method to discover clusters of biologically related genes. These approaches seek to find ways of solving complex pathway membership problems in protein interaction databases. The clusters obtained provide more biological insight as opposed to a process of local pairwise comparison between interacting proteins. They may also predict new members in functional pathways or clusters. Underlying these algorithms are simulated biased random walks on the network for determining membership of proteins in given clusters. Advisors/Committee Members: VanRensburg, Esaias J. (advisor).

Subjects/Keywords: Molecular biology; Applied mathematics; Molecular biology; Bioinformatics; Mean field analysis; miRNA-218-5p; Protein interaction networks; Network analysis; Algorithms; Lattice laplacian; Network; Biologial networks; Network algorithms; Scale-free networks; microRNA-gene interaction networks; miRNA; Random walk; Power law distribution; Duplication-Divergence model; Vazquez model; Sole' model; iSite model; Barabasi-Albert model; Scaling exponent

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Konini, S. (2018). Scale-Free Networks in Molecular Biology: Algorithms and Random Walks Analyses. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/34315

Chicago Manual of Style (16th Edition):

Konini, Silva. “Scale-Free Networks in Molecular Biology: Algorithms and Random Walks Analyses.” 2018. Doctoral Dissertation, York University. Accessed January 20, 2021. http://hdl.handle.net/10315/34315.

MLA Handbook (7th Edition):

Konini, Silva. “Scale-Free Networks in Molecular Biology: Algorithms and Random Walks Analyses.” 2018. Web. 20 Jan 2021.

Vancouver:

Konini S. Scale-Free Networks in Molecular Biology: Algorithms and Random Walks Analyses. [Internet] [Doctoral dissertation]. York University; 2018. [cited 2021 Jan 20]. Available from: http://hdl.handle.net/10315/34315.

Council of Science Editors:

Konini S. Scale-Free Networks in Molecular Biology: Algorithms and Random Walks Analyses. [Doctoral Dissertation]. York University; 2018. Available from: http://hdl.handle.net/10315/34315

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