4,195 research outputs found
Analyzing the improvement of estate governance and management in Jordan using blockchain
The potential for transforming the estate management industry through the resolution of common inefficiencies, lack of transparency, and security concerns is presented by the use of blockchain technology into estate governance. The purpose of this article is to clarify how incorporating blockchain technology would affect estate operations and governance. This study is based on quantitative information that was collected from 317 estate management professionals using a 5-point Likert scale questionnaire. SmartPLS4 analysis demonstrates that blockchain governance has a statistically significant and robust influence on estate governance in Jordan. The impact of Blockchain Governance on Jordanian Estate Management appears to be negligible and unimportant. Furthermore, there appears to be a negligible and insignificant correlation between Jordanian estate management and estate planning methods. In-depth analysis of these theories is done in this article, which also offers insights into how blockchain technology affects estate governance dynamics and how it can affect Jordan's estate management procedures. The consequences go beyond theoretical understandings; they promote the use of blockchain technology in estate governance frameworks as a game-changing means of ensuring the safe, transparent, and effective administration of frozen estates in Jordan and elsewhere
How Might the National Revenue Authority of Sierra Leone Enhance Revenue Collection by Taxing High Net Worth Individuals?
In the wake of the Covid-19 pandemic, increasing domestic revenue mobilisation has
become even more of a priority for low-income countries. One of the commonly untapped
sources of revenue across many of these countries are high net worth individuals, who
usually manage to avoid contributing their fair share of taxes. This is also the case in Sierra
Leone, which signalled its intention to develop a strategy to increase compliance of this
taxpayer segment in 2019. In this paper we provide an initial assessment of how fit for
purpose the current legal setting is, as well as give a general picture of the most likely
characteristics of high net worth individuals in the country. Our analysis is based on semi structured interviews with stakeholders from both the public and private sector, and currently
available administrative data, and provides a series of suggestions for next steps in the
development of a dedicated strategy
Science and Innovations for Food Systems Transformation
This Open Access book compiles the findings of the Scientific Group of the United Nations Food Systems Summit 2021 and its research partners. The Scientific Group was an independent group of 28 food systems scientists from all over the world with a mandate from the Deputy Secretary-General of the United Nations. The chapters provide science- and research-based, state-of-the-art, solution-oriented knowledge and evidence to inform the transformation of contemporary food systems in order to achieve more sustainable, equitable and resilient systems
Securing IoT Applications through Decentralised and Distributed IoT-Blockchain Architectures
The integration of blockchain into IoT can provide reliable control of the IoT network's
ability to distribute computation over a large number of devices. It also allows the AI
system to use trusted data for analysis and forecasts while utilising the available IoT
hardware to coordinate the execution of tasks in parallel, using a fully distributed
approach.
This thesis's rst contribution is a practical implementation of a real world IoT-
blockchain application,
ood detection use case, is demonstrated using Ethereum proof
of authority (PoA). This includes performance measurements of the transaction con-
rmation time, the system end-to-end latency, and the average power consumption.
The study showed that blockchain can be integrated into IoT applications, and that
Ethereum PoA can be used within IoT for permissioned implementation. This can be
achieved while the average energy consumption of running the
ood detection system
including the Ethereum Geth client is small (around 0.3J).
The second contribution is a novel IoT-centric consensus protocol called honesty-
based distributed proof of authority (HDPoA) via scalable work. HDPoA was analysed
and then deployed and tested. Performance measurements and evaluation along with
the security analyses of HDPoA were conducted using a total of 30 di erent IoT de-
vices comprising Raspberry Pis, ESP32, and ESP8266 devices. These measurements
included energy consumption, the devices' hash power, and the transaction con rma-
tion time. The measured values of hash per joule (h/J) for mining were 13.8Kh/J,
54Kh/J, and 22.4Kh/J when using the Raspberry Pi, the ESP32 devices, and the
ESP8266 devices, respectively, this achieved while there is limited impact on each de-
vice's power. In HDPoA the transaction con rmation time was reduced to only one
block compared to up to six blocks in bitcoin.
The third contribution is a novel, secure, distributed and decentralised architecture
for supporting the implementation of distributed arti cial intelligence (DAI) using
hardware platforms provided by IoT. A trained DAI system was implemented over the
IoT, where each IoT device hosts one or more neurons within the DAI layers. This
is accomplished through the utilisation of blockchain technology that allows trusted
interaction and information exchange between distributed neurons. Three di erent
datasets were tested and the system achieved a similar accuracy as when testing on a
standalone system; both achieved accuracies of 92%-98%. The system accomplished
that while ensuring an overall latency of as low as two minutes. This showed the secure architecture capabilities of facilitating the implementation of DAI within IoT
while ensuring the accuracy of the system is preserved.
The fourth contribution is a novel and secure architecture that integrates the ad-
vantages o ered by edge computing, arti cial intelligence (AI), IoT end-devices, and
blockchain. This new architecture has the ability to monitor the environment, collect
data, analyse it, process it using an AI-expert engine, provide predictions and action-
able outcomes, and nally share it on a public blockchain platform. The pandemic
caused by the wide and rapid spread of the novel coronavirus COVID-19 was used as
a use-case implementation to test and evaluate the proposed system. While providing
the AI-engine trusted data, the system achieved an accuracy of 95%,. This is achieved
while the AI-engine only requires a 7% increase in power consumption. This demon-
strate the system's ability to protect the data and support the AI system, and improves
the IoT overall security with limited impact on the IoT devices.
The fth and nal contribution is enhancing the security of the HDPoA through
the integration of a hardware secure module (HSM) and a hardware wallet (HW). A
performance evaluation regarding the energy consumption of nodes that are equipped
with HSM and HW and a security analysis were conducted. In addition to enhancing
the nodes' security, the HSM can be used to sign more than 120 bytes/joule and
encrypt up to 100 bytes/joule, while the HW can be used to sign up to 90 bytes/joule
and encrypt up to 80 bytes/joule. The result and analyses demonstrated that the HSM
and HW enhance the security of HDPoA, and also can be utilised within IoT-blockchain
applications while providing much needed security in terms of con dentiality, trust in
devices, and attack deterrence.
The above contributions showed that blockchain can be integrated into IoT systems.
It showed that blockchain can successfully support the integration of other technolo-
gies such as AI, IoT end devices, and edge computing into one system thus allowing
organisations and users to bene t greatly from a resilient, distributed, decentralised,
self-managed, robust, and secure systems
Agency and professionalism in translation and interpreting: navigating conflicting role identities among translation and interpreting practitioners working for local government in Japan
This thesis investigates the ethical choices of Coordinators for International Relations (CIRs), a group of largely non-professional translators and interpreters working for local government bodies in Japan. In addition to T&I, CIRs are tasked with engaging in intercultural relations, “internationalising” their local areas, and working with the public as members of the civil service. The thesis examines the different roles and particular circumstances of CIRs to describe and explain how they make ethical decisions in T&I.
This was explored using an ethnographic methodology featuring both traditional and online sites. Specifically, data was collected from participant observation of an internet forum created by CIRs, through online surveys, and also by employing focus groups and
interviews held with CIRs in Japan. Analysis of forum and survey data illuminated the ethical struggles experienced by CIRs in T&I. It indicated that professionalism and agency were of particular concern for these CIRs when dealing with questions of ethics. Through focus groups, more detailed data was elicited surrounding the ethical struggles faced by CIRs, with a particular focus on professionalism and agency. Forum and focus group data combined to create a set of hypothetical ethical scenarios discussed during semistructured interviews held to understand factors that influence CIR decision making.
A theoretical framework combining Agency Theory (Mitnick, 1975) and Role Identity Theory (Stryker, 1968) was used to describe and explain CIR ethical decision making; foregrounding their potential to effect change in their workplaces (agency) and the prioritisation afforded to different roles with which they identify in their work (role identity). Ultimately, CIRs were most disposed to translate or interpret in a manner that they believed was in keeping with the wishes of their employers, based on their superior ability to monitor and control the CIRs. However, in instances where the CIR operated with free will, their choices were a result of complex structuring of the various identities that they had normalised within themselves.
Keywords: translation, interpreting, Coordinator for International Relations (CIR), Japan Exchange and Teaching (JET) Programme, agency, professionalism, role identity
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Sonic heritage: listening to the past
History is so often told through objects, images and photographs, but the potential of sounds to reveal place and space is often neglected. Our research project ‘Sonic Palimpsest’1 explores the potential of sound to evoke impressions and new understandings of the past, to embrace the sonic as a tool to understand what was, in a way that can complement and add to our predominant visual understandings. Our work includes the expansion of the Oral History archives held at Chatham Dockyard to include women’s voices and experiences, and the creation of sonic works to engage the public with their heritage. Our research highlights the social and cultural value of oral history and field recordings in the transmission of knowledge to both researchers and the public. Together these recordings document how buildings and spaces within the dockyard were used and experienced by those who worked there. We can begin to understand the social and cultural roles of these buildings within the community, both past and present
Recommended from our members
Healthy Diet: A Definition for the United Nations Food Systems Summit 2021
The Survey, Taxonomy, and Future Directions of Trustworthy AI: A Meta Decision of Strategic Decisions
When making strategic decisions, we are often confronted with overwhelming
information to process. The situation can be further complicated when some
pieces of evidence are contradicted each other or paradoxical. The challenge
then becomes how to determine which information is useful and which ones should
be eliminated. This process is known as meta-decision. Likewise, when it comes
to using Artificial Intelligence (AI) systems for strategic decision-making,
placing trust in the AI itself becomes a meta-decision, given that many AI
systems are viewed as opaque "black boxes" that process large amounts of data.
Trusting an opaque system involves deciding on the level of Trustworthy AI
(TAI). We propose a new approach to address this issue by introducing a novel
taxonomy or framework of TAI, which encompasses three crucial domains:
articulate, authentic, and basic for different levels of trust. To underpin
these domains, we create ten dimensions to measure trust:
explainability/transparency, fairness/diversity, generalizability, privacy,
data governance, safety/robustness, accountability, reproducibility,
reliability, and sustainability. We aim to use this taxonomy to conduct a
comprehensive survey and explore different TAI approaches from a strategic
decision-making perspective
Mothers who listen with more than ears: The phenomenological experience of the non-verbal communication between mothers and their child with complex cerebral palsy
In England, every 1000 babies born 1 will be left with complex cerebral palsy affecting all limbs and internal organs. Of those children by age 12, 43% will have no consistent way to communicate with the world. Empirically, many mothers of these children self-report that they can communicate effectively with their children in these cases in a way that possibly only the mother understands. Understanding the mother’s experience of living with a complex cerebral palsy non-verbal child is important for professionals and the society that supports them.
The aim of this research is not to prove or disprove this phenomenon but rather to explore the lived experience of mothers with disabled non-verbal cerebral palsy children, validating and giving a voice to an otherwise isolated abnormal form of mothering.
A homogenous sample was collected made up of 8 mothers who had non-verbal complex cerebral palsy as a result of Hypoxic Ischemic Encephalopathy at birth. The age range of the children was not > 3 and not <16. Interviews took place on a video link, semi-structured interviews were done and the six stages of a Heuristic Inquiry were used to analyse the transcribed data.
The results produced 7 universal themes: ‘The Choice to Communicate,’ ‘Communication Over Time’, Impediments to communication’, ‘Certainty and Uncertainty’, ‘Embodied Communication’, ‘Being Towards Communication’, and ‘Being in the World with Others’. These themes capture the essence of the experience that mothers have when confronted by a baby that is diagnosed with multiple disabilities and unable to verbalise. The findings that emerged are fundamentally existential and they are examined through an existential lens
Health Leadership and Management Practices That Support Accountability for Results
Although leaders are expected to nurture and sustain a culture of accountability for results, little is known about how health leaders in developing countries perceive, interpret, demonstrate, and promote accountability in their day-to-day practices. The purpose of this generic qualitative study was to explore the management and leadership practices that leaders of public and non-profit health support organizations in Uganda utilize to embody and support accountability for key stakeholders’ results. Data from in-depths interviews with 13 participants at the governance, senior management, and middle management levels were analysed using thematic data analysis. Riggio\u27s conceptualization of using multiple perspectives and disciplines to understand leadership guided the study. The findings indicate that the combination of management and leadership practices that promote accountability results are motivated and sustained by the leaders’ ethical and moral values, character and soft skills; majorly driven by task, relations, change, and externally-oriented leadership behavior; aligned with the leaders’ perceived primary management and leadership roles and responsibilities; and focus on enabling others to identify the right problem to address, recognize and navigate the eclectic ecosystem-wide interests, and mandates. These findings add to knowledge on managing and leading accountability in low-income settings. Implications for positive social change included understanding how to identify, select, develop, promote, and retain managers and staff with the relevant skills, enduring positive intrapersonal accountability motives and practices; this results in building effective organization systems that shape, strengthen, and sustain a culture of accountability for results
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