List of Titles

- Gell, Peter, Perga, Marie-Elodie, Finlayson, Max

Authors: Gell, Peter , Perga, Marie-Elodie , Finlayson, Max
Date: 2019
Type: Text , Book chapter
Relation: Freshwater Ecology and Conservation: Approaches and Techniques 13 p. 283-305
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Description: Freshwater ecosystems occur on all continents and have been described and classified by a diversity of terms and definitions (Finlayson and van der Valk 1995; Mitsch and Gosselink 2015; Gerbeaux et al. 2018). These are dynamic systems in which the hydrology and geomorphic setting can be affected by natural and anthropogenic activities interacting at multiple spatial and temporal scales to influence the components,biogeochemical processes, functions, and ecosystem services they provide (Millennium Ecosystem Assessment 2005). Defining and classifying freshwater ecosystems into categories(e.g., rivers and streams, lakes and reservoirs, and wetlands) has generally been based on a combination of features, including the landform and geomorphic setting, physical dimensions, vegetation, water quality and water regime, soils, and as habitat for specific fauna (Semeniuk and Semeniuk 1997).

Authors: Millmow, Alex
Date: 2019
Type: Text , Book chapter
Relation: The Elgar Companion to John Maynard Keynes p. 413-418
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Description: Colin Clark and Keynes started an intellectual association during the Depression years when the younger man was, following a recommendation from G.D.H. Cole, recruited to work for the Economic Advisory Council. Following that appointment, Keynes ensured that Clark took up a lectureship in statistics. While not a member of the Cambridge Circus, Clark gave Keynes the means to understand how economic aggregates were compiled and, more importantly, how they could be affected by policy action. Clark also provided the number work for Kahn’s income expenditure multiplier. The chance to take a one-year lecturing assignment overseas, spent mostly in Australia, ended up with Clark forsaking Cambridge and taking a job with the Queensland Government because, as he told Keynes, it was the chance to put economics into action. Even distant, Clark’s most cited article on the fiscal limitation of taxation was partly inspired by a comment made by Keynes on public finance. The bond between the two men remained close, with Clark later writing several memorials celebrating the life of his benefactor. © Robert W. Dimand and Harald Hagemann 2019.

Collective hope and action in a time of transition : kitchen table conversations with Gippsland sustainability change agents

- Green, Monica, McClam, Sherie

Authors: Green, Monica , McClam, Sherie
Date: 2019
Type: Text , Book chapter
Relation: Located Research: Regional Places, Transitions and Challenges p. 223-251
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Description: This chapter stems from a broader research initiative involving a collective of eight Australian and US academics investigating the conditions that affect Education for Sustainability (EfS) educators’ capacity for agency. As part of the wider collective, the two authors of this chapter (one Australian and the other American) collaborated on a small study that examined how sustainability and climate change advocates and educators in Gippsland, Victoria, gain traction in effecting change. Study participants were recruited from two regional committees-RCE Gippsland (Regional Centre of Expertise in Education for Sustainable Development) and the GCCN (Gippsland Climate Change Network)-who each mobilise and disseminate sustainability and climate change information across the region. Using a narrative ethnographic methodology to explore participant perceptions of how they effect change in the region, the authors facilitated two conversational dialogues around two distinctive farmhouse kitchen tables in West Gippsland. Drawing on theories of new materialism and the concept of collective hope, this chapter engages with conversational vignettes generated via the agency of the kitchen tables and shared food. Emergent themes explored in the chapter include the work of EfS change agents and the importance of ‘the collective’ to deal with the challenges and tensions associated with creating change in the regions. © The Author(s) 2020.

Community conservation in Nepal - opportunities and challenges for pangolin conservation

- Khatiwada, Ambika, Suwal, Tulshi, Wright, Wendy, Roe, Dily, Kaspal, Prativa

Authors: Khatiwada, Ambika , Suwal, Tulshi , Wright, Wendy , Roe, Dily , Kaspal, Prativa
Date: 2019
Type: Text , Book chapter
Relation: Pangolins: Science, Society and Conservation. Chapter 25 p. 395-409
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Description: This chapter highlights Nepal’s successful approach to conserving high-profile trafficked wildlife (e.g., rhinoceros) within protected areas and explains why a community-led approach to conservation is necessary for the protection of the country’s pangolin populations, which occur largely outside of the protected area network. Nepal’s pangolins occur primarily in forested areas, which are managed locally and not by government agencies. Key challenges for successful pangolin conservation in Nepal are presented, with examples of successful case studies from community-based conservation projects across the country. These case studies exemplify the key challenges to pangolin conservation in Nepal and demonstrate common themes related to success. © 2020 Elsevier Inc. All rights reserved. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Wendy Wright” is provided in this record**

Conclusion : What now? Where to from here?

- Paliadelis, Penny

Authors: Paliadelis, Penny
Date: 2019
Type: Text , Book chapter
Relation: The road to nursing Chapter 18 p. 295-306
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Description: The focus of this book has been on exploring the key concepts, knowledge and skills that are relevant to contemporary nursing practice, with a strong emphasis on 'meaning-making' - what things really mean; how this meaning is established; why particular knowledge is necessary or important; and how all this informs your road to nursing, your ongoing learning, practice and professional identity-formation and your conception of what it really means to be and act as a nurse. This final chapter weaves together some of the key focus areas that have made up this 'journey', using stories from practice that may provide you with some further insights to guide you on your path to becoming a skilled and experienced nurse. The second part of this chapter will focus your attention on the fact that once you enter the profession as a beginning-level nurse, this is not the end of your journey; it is only the first stage of your career. There are many options and learning opportunities that can further your career and assist you to develop into an expert nurse across a range of settings. The last part of this chapter will focus on how you can contribute to the further development of the nursing profession by role-modelling and promoting nursing, mentoring and supporting others, and developing and sharing your skills and knowledge with new generations of nurses.

Corporate sustainability and responsibility in ecotourism: Entrepreneurial motivation enacted through sustainability objectives

- Swan, Christopher, Morgan, Damian

Authors: Swan, Christopher , Morgan, Damian
Date: 2019
Type: Text , Book chapter
Relation: Corporate sustainability and responsibility in tourism Chapter 13 p. 209-227
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Description: Corporate Sustainability and Responsibility (CSR) refers to organisational behaviours dedicated to the responsible use of natural resources, sensitivity to social capital or host culture and the sustainable distribution of economic wealth. These behaviours create social value and are in the interest of wider society. Organisations, including those who operate within the tourism industry, have been under longstanding social pressure to exhibit CSR behaviours. This social pressure has ultimately contributed to the emergence of sustainable tourism forms such as ecotourism. However, as this chapter recounts, there is no guarantee that the sustainability premise on which ecotourism has been founded will equate to actual responsible business behaviours. This chapter identifies that social and environmental failings observed within ecotourism may be a result of poor community consultation, ineffective ecotourism management and ‘inauthentic’ entrepreneurial motivations. It argues that should these failings be addressed, ecotourism does hold some potential to positively contribute to the tourism industries’ engagement with both sustainable and responsible behaviour. In part, this potential is dependent upon an ability to attract ‘altruistically motivated’ entrepreneurs to ecotourism business start-up, as these entrepreneurial types may represent a more reliable exponent of sustainable business behaviours. This proposition would be further supported where altruistic motivation is coupled with responsive ecotourism development, management and consultation. There is a role then for government and other tourism industry stakeholders to develop and offer support and management mechanisms for altruistically motivated ecotourism developments.

Data quality in asset management creating and maintaining a foundation for data analytics

- Tam, Allen, Kwan, Iris

Authors: Tam, Allen , Kwan, Iris
Date: 2019
Type: Text , Book chapter
Relation: Asset intelligence through integration and interoperability and contemporary vibration engineering technologies p. 567-574
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Description: Data analytics (in particular “Big Data” analytics) is one of the hot topics in recent digital technology innovations. There is an increasing trend and focus on the value data analytics can bring to the business. Internet of Things (IoT) and advancement in technology have resulted in even more data being created and assessed. There are many new tools and software developments that promise “silver bullet” type solutions, with advanced dashboard, reporting, graphic visualisation and predictive capabilities. Little attention is however given to the data quality aspect of the puzzle. Incorrect data can lead to lost opportunities, incorrect decisions, and costly enterprise system implementations. This paper provides an overview of the challenges contributing to master and transaction data quality issues in utility asset management and highlights the potential lost opportunities resulting from a lack of data integrity. The value of text analytics and reviewing of fault data is highlighted. The paper also offers a four step solution to data quality improvement.

Deep learning for combo object detection

- Zhao, Jing, Ardekani, Iman Tabatabaei, Pang, Shaoning

Authors: Zhao, Jing , Ardekani, Iman Tabatabaei , Pang, Shaoning
Date: 2019
Type: Text , Book chapter
Relation: Chapter 11 p. 125-137
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Description: Convolutional neural networks (CNNs) have become the most vigorous technique for a variety of different tasks in computer vision, due to their proficiency in automatically learning high-level visual representations for images. In this paper, we investigate the effect of deep neural networks on the accuracy in combo object detection setting. The insufficiency of labeled data, coupled with the uncertainty of spacial distribution and dynamic changes in luminance, creates situations where combo object detection is far more challenging. Using transfer learning, we present a system for combo object detection based on a deep CNN called ComboNN. The proposed ComboNN is pre-trained on a huge auxiliary dataset ImageNet and fine-tuned on our small dataset. The use of data augmentation and regularization technique significantly reduces overfitting and improves the robustness of the ComboNN. Experimental results demonstrate that our system is capable of making reliable prediction on combo object detection in the real-world images, and achieves much better accuracy than the state-of-the-art CNNs.

Development and bench-marking of agoraphilic navigation algorithm in dynamic environment

- Hewawasam, Hasitha, Ibrahim, Yousef, Kahandawa, Gayan, Choudhury, Tanveer, IEEE

Authors: Hewawasam, Hasitha , Ibrahim, Yousef , Kahandawa, Gayan , Choudhury, Tanveer , IEEE
Date: 2019
Type: Text , Book chapter
Relation: 2019 IEEE 28th International Symposium on Industrial Electronics p. 1156-1161
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Description: This paper presents a summary of research which was conducted in developing a new human-like navigation methodology based on the Agoraphilic algorithm. This new methodology is capable of maneuvering robots in both static and dynamically clutter unknown environments. The Agoraphilic algorithm is an "optimistic" navigation algorithm. The algorithm is based on free space attraction rather than repulsion of obstacles for navigation. Therefore, this algorithm directs robots to follow the free space leading to the goal instead of avoiding obstacles. This approach has eliminated many draw backs of the traditional APF algorithm. However, the major limitation of the previously developed Agoraphilic algorithm could only deal with static environment. The new proposed algorithm has successfully extended the capacity of Agoraphilic algorithm to deal with environment cluttered with dynamic obstacles. The new Agoraphilic algorithm uses a tracking and prediction methodology to estimate the path of unknown moving objects. The estimated locations of the moving objects are combined with static object locations in the robot's visible region to generate time-varying free space attractive forces. These time varying forces maneuver the robot to the goal in dynamically cluttered unknown environment without collusions. To demonstrate the algorithm's ability, several simulations were performed. Furthermore, the new algorithm was tested and bench-marked against other APF published work under similar environment and conditions. The comparative results are discussed and showed the effectiveness of the new Algoraphilic navigation algorithm.

Early motherhood: A turning point in the complex lives of young mothers

- Felstead, Karen

Authors: Felstead, Karen
Date: 2019
Type: Text , Book chapter
Relation: Feminist perspectives on young mothers and young mothering Chapter 6 p. 119-134
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Description: Young mothers’ stories of motherhood are often invisible within the broader contexts of society, and young mothers may themselves be negatively affected by and unable to resist dominant cultural narratives circulated about them. Early motherhood manifests itself as a problem and social concern in academic literature policy and public discourses (Arai; Breheny and Stephens). Much of it invariably details the negative outcomes faced by young mothers, including poor parenting skills, health issues, welfare dependency, and lower educational attainment with little opportunity for future employability, which exacerbates their likelihood of living in poverty (Keegan and Corliss). Community judgment invariably considers young.

Enhanced transfer learning with ImageNet trained classification layer

- Shermin, Tasfia, Teng, Shyh Wei, Murshed, Manzur, Lu, Guojun, Sohel, Ferdous, Paul, Manoranjan

Authors: Shermin, Tasfia , Teng, Shyh Wei , Murshed, Manzur , Lu, Guojun , Sohel, Ferdous , Paul, Manoranjan
Date: 2019
Type: Text , Book chapter
Relation: Image and Video Technology Chapter 12 p. 142-1455
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Description: Parameter fine tuning is a transfer learning approach whereby learned parameters from pre-trained source network are transferred to the target network followed by fine-tuning. Prior research has shown that this approach is capable of improving task performance. However, the impact of the ImageNet pre-trained classification layer in parameter fine-tuning is mostly unexplored in the literature. In this paper, we propose a fine-tuning approach with the pre-trained classification layer. We employ layer-wise fine-tuning to determine which layers should be frozen for optimal performance. Our empirical analysis demonstrates that the proposed fine-tuning performs better than traditional fine-tuning. This finding indicates that the pre-trained classification layer holds less category-specific or more global information than believed earlier. Thus, we hypothesize that the presence of this layer is crucial for growing network depth to adapt better to a new task. Our study manifests that careful normalization and scaling are essential for creating harmony between the pre-trained and new layers for target domain adaptation. We evaluate the proposed depth augmented networks for fine-tuning on several challenging benchmark datasets and show that they can achieve higher classification accuracy than contemporary transfer learning approaches.

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