title: Charity Law and the Liberal State [Book Review]

authors: Chevalier-Watts, Juliet

abstract: I have long been an admirer of the work of Matthew Harding, and it would not be unreasonable to say that I have quoted from his publications on a fair few occasions I So I was greatly honoured and delighted to be asked to review this 2014 publication. The book has seven chapters and an introduction. Harding has woven through the later chapters many of the submissions and arguments presented in the early chapters. This provides the reader with a real thread of continuity and continually leads the mind back to the notions of charity law and the liberal state.

text: Charity Law and the Liberal State [Book Review] I have long been an admirer of the work of Matthew Harding, and it would not be unreasonable to say that I have quoted from his publications on a fair few occasions I So I was greatly honoured and delighted to be asked to review this 2014 publication. The book has seven chapters and an introduction. Harding has woven through the later chapters many of the submissions and arguments presented in the early chapters. This provides the reader with a real thread of continuity and continually leads the mind back to the notions of charity law and the liberal state.

year: 2015

title: Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications

authors: Ooi, Melanie Po-Leen

abstract: Sensor applications have become ubiquitous in modern society as the digital age continues to advance. AI-based techniques (e.g., machine learning) are effective at extracting actionable information from large amounts of data. An example would be an automated water irrigation system that uses AI-based techniques on soil quality data to decide how to best distribute water. However, these AI-based techniques are costly in terms of hardware resources, and Internet-of-Things (IoT) sensors are resource-constrained with respect to processing power, energy, and storage capacity. These limitations can compromise the security, performance, and reliability of sensor-driven applications. To address these concerns, cloud computing services can be used by sensor applications for data storage and processing. Unfortunately, cloud-based sensor applications that require real-time processing, such as medical applications (e.g., fall detection and stroke prediction), are vulnerable to issues such as network latency due to the sparse and unreliable networks between the sensor nodes and the cloud server [1]. As users approach the edge of the communications network, latency issues become more severe and frequent. A promising alternative is edge computing, which provides cloud-like capabilities at the edge of the network by pushing storage and processing capabilities from centralized nodes to edge devices that are closer to where the data are gathered, resulting in reduced network delays [2], [3].

text: Measurement and Applications: Exploring the Challenges and Opportunities of Hierarchical Federated Learning in Sensor Applications Sensor applications have become ubiquitous in modern society as the digital age continues to advance. AI-based techniques (e.g., machine learning) are effective at extracting actionable information from large amounts of data. An example would be an automated water irrigation system that uses AI-based techniques on soil quality data to decide how to best distribute water. However, these AI-based techniques are costly in terms of hardware resources, and Internet-of-Things (IoT) sensors are resource-constrained with respect to processing power, energy, and storage capacity. These limitations can compromise the security, performance, and reliability of sensor-driven applications. To address these concerns, cloud computing services can be used by sensor applications for data storage and processing. Unfortunately, cloud-based sensor applications that require real-time processing, such as medical applications (e.g., fall detection and stroke prediction), are vulnerable to issues such as network latency due to the sparse and unreliable networks between the sensor nodes and the cloud server [1]. As users approach the edge of the communications network, latency issues become more severe and frequent. A promising alternative is edge computing, which provides cloud-like capabilities at the edge of the network by pushing storage and processing capabilities from centralized nodes to edge devices that are closer to where the data are gathered, resulting in reduced network delays [2], [3].

year: 2023-12-01

title: A cultural encounter through volunteer tourism: Towards the ideals of sustainable tourism?

authors: McIntosh, Alison J.

subjects: cultural tourism

abstract: International volunteering is increasingly recognised as a form of alternative tourism. However, the nature of the ‘alternative’ experience gained, and the ensuing narrative between host and volunteer, remains under-explored in published research, especially in volunteer tourism research within a cultural context in a developed nation. This paper examines the nexus between volunteer tourism and cultural tourism in the search for alternative and sustainable experiences through tourism. Qualitative research using in-depth interviews, diaries and participant observation was conducted to examine the pre-, during and post-trip experiences of 12 Australian visitors undertaking organised volunteer activities in an indigenous Maori community in the North Island of New Zealand during January 2005. Members of the indigenous Maori community were also interviewed to provide an important host perspective. Findings suggest that the nature of the interaction and cultural experiences gained were perceived as mutually beneficial and seemingly different from those gained from traditional cultural products. In particular, the volunteers experienced an alternative Maori cultural product and engaged in a different narrative with their Maori hosts through their volunteer work, one rich in authentic cultural content, genuine and reflective of modern Maori life in New Zealand society.

text: A cultural encounter through volunteer tourism: Towards the ideals of sustainable tourism? International volunteering is increasingly recognised as a form of alternative tourism. However, the nature of the ‘alternative’ experience gained, and the ensuing narrative between host and volunteer, remains under-explored in published research, especially in volunteer tourism research within a cultural context in a developed nation. This paper examines the nexus between volunteer tourism and cultural tourism in the search for alternative and sustainable experiences through tourism. Qualitative research using in-depth interviews, diaries and participant observation was conducted to examine the pre-, during and post-trip experiences of 12 Australian visitors undertaking organised volunteer activities in an indigenous Maori community in the North Island of New Zealand during January 2005. Members of the indigenous Maori community were also interviewed to provide an important host perspective. Findings suggest that the nature of the interaction and cultural experiences gained were perceived as mutually beneficial and seemingly different from those gained from traditional cultural products. In particular, the volunteers experienced an alternative Maori cultural product and engaged in a different narrative with their Maori hosts through their volunteer work, one rich in authentic cultural content, genuine and reflective of modern Maori life in New Zealand society.

year: 2007