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Revolutionising Higher Education:Unleashing the Potential of Large Language Models for Strategic Transformation
Get PDFThis paper investigates the transformative potential of Large Language Models (LLMs) within higher education, highlighting their capacity to reshape the academic landscape. By examining the complex impact of LLMs across critical areas of Higher Education Institutions (HEIs), including the role of HEIs as gatekeepers of knowledge, providers of credentials, research centres, incubators of innovation, drivers of social change and employers. In addition to academic integrity, the future of higher education, intellectual property, and public perception. The findings of this paper indicate that LLMs can empower transformation in HEIs by revolutionising various aspects of academia. The aim is to unveil the profound implications of integrating these cutting-edge technologies. The comprehensive study in this paper reveals the significant impacts and challenges associated with using LLMs in academic settings, which is achieved through a detailed analysis of current literature. The core findings suggest that LLMs hold the promise to trigger significant advancements in higher education. This paper also discusses the innovative potential of LLMs, and it outlines a path for their effective use in HEIs, emphasising the importance of a thoughtful approach to maximise their educational benefits. HEIs must address these challenges thoughtfully, ensuring that the integration of LLMs aligns with their fundamental objectives of promoting education, critical thinking, and personal growth
Effect of Skin Pigmentation and Finger Choice on Accuracy of Oxygen Saturation Measurement in an IoT-based Pulse Oximeter
Get PDFThe pulse oximeters are widely used in hospitals and homes for measurement of bloodoxygen saturation level (SpO2) and heart rate (HR). Concern has been raised regarding a possible bias in obtaining pulse oximeter measurements from different fingertips and the potential effect of skin pigmentation (white, brown and dark). In this study, we obtained 600 SpO2 measure-ments from 20 volunteers using three UK NHS-approved commercial pulse oximeters alongside our custom-developed sensor and used the Munsell colour system (5YR and 7.5YR cards) to classify the participant skin pigmentation into three distinct categories (white, brown and dark). The statistical analysis using ANOVA post-hoc tests (Bonferroni correction), Bland-Altman plot and correlation test were then carried out to determine if there was a clinical significance in measuring SpO2 reading from the different fingertips and highlight if skin pigmentation affects the accuracy of SpO2 measurement. The results indicate that although the three commercial pulse oximeters had different mean and standard deviations, these differences had no clinical significance.<br/
Palaeoproteomic identification of the original binder and modern contaminants in distemper paints from Uvdal stave church, Norway
Get PDFFlexibility is the Key to Stability: An Investigation of the Malleability of Personality Judgements with a Focus on the Moral Domain.
Get PDFThis thesis investigates the malleability of individuals’ self-concept by extending the anchoring and choice blindness paradigms to the domain of the self. In a series of online experiments, I explore how others’ behaviour and one’s own (alleged) previous behaviour influence current personality judgements and decisions. Study 1 investigates whether moral choices are more malleable than choices in other domains in response to social anchors. Study 2 asks whether participants are especially vulnerable to self-serving anchors, i.e., anchors heightening participant’s qualities. Studies 3 and 4 explore the potential self-serving aftereffect of anchoring on subsequent personality judgements (Study 3) and prosocial choices (Study 4). Study 5 investigates whether personality judgements are susceptible to choice blindness manipulations, especially when the manipulations elevate the self-view. Throughout the studies, I contrast moral and non-moral attitudes to explore whether moral behaviours and personality judgements are more susceptible to cognitive influences.The main conclusion from the present thesis is that personality judgements are flexible in response to cognitive influences in a self-serving manner: personality judgements seem flexible enough to accommodate adjustments elevating the self-image, however they remain relatively stable in the face of diminishing manipulations. Although, there was no unanimous evidence that self-serving manipulations of personality judgements influence the general self-image, enhancing anchors led to nearly 15% more generous donations in a subsequent Dictator Game. The analysis did not support magnified anchoring or choice blindness effects for moral traits, rather morality had a general elevating effect with individuals ranking themselves more positively on moral than on non-moral traits. The data also provided evidence for a “phrasing effect” with participants ranking themselves higher, on average, for negatively than positively phrased traits. These findings suggest that personality judgements are constructed and adjusted in a somewhat different way than previously thought. Implications for the anchoring and choice blindness frameworks are also discussed
AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments
Get PDFThe Company of Ironmongers. Their Contribution to the Social Political and Economic Life of London between 1350 and 1580
Get PDFThe Company of Ironmongers. Their Contribution to the Social Political and Economic Life of London between 1350 and 1580 The thesis examines how city companies emerged to defend the commercial interests of those providing for a growing city. Chapter 1 looks at iron processing and trade in Europe and the emerging role of London ironmongers, who, with other groups, were competing to provide the iron needed for building, transport, and more specialized uses. It explores why England became a net importer of iron, and how ironmongers developed a role as middlemen supplying iron to customers.Chapter 2 examines how ironmongers began to regulate their apprentices and to control the quality of their sales. They also took on a variety of roles in the city and laid the foundations for the company’s development in the fifteenth century. Chapter 3 considers the governance of the company, based on the first surviving company records which date from 1455. This includes the role of its elected officials, together with the livery and the yeomanry, and the relations between them. Chapter 4 looks at how the Ironmongers acquired and managed a growing property portfolio, and the impact of the Reformation on this process.The next three chapters change focus from the institution to individual ironmongers, based on wills and ecclesiastical and civic records. Chapter 5 considers their roles as parishioners with religious and charitable responsibilities as they alter with the Reformation. Chapter 6 examines their roles as the heads of often extensive family and neighbourhood networks, and as city officials. Chapter 7 considers the commercial role of the company and demonstrates that it is a mercantile rather than an artisan company whose members ranged from wealthy international traders to small shopkeepers. The competitive nature of London trade meant that ironmongers were forced to diversify into other areas of commercial activity and the extent to which the company was able to compete successfully with other major companies is explored. <br/
Sustainability challenges in medical equipment donations to low- and middle-income countries
Get PDFAccess to medical equipment (ME) is an essential component of the healthcare infrastructure. Due to the high manufacturing cost, low- and middle-income countries (LMICs) rely on donations from high-resource settings to meet their demand for ME. International organizations such as the World Health Organization (WHO) have prescribed guidelines for sustainable donations. A few research studies have assessed current donation practices’ compliance with new and used ME. This study aims to investigate commonly recurring challenges and compile practical recommendations for ME donation programs in LMICs. To validate the findings from the literature review, semi-structured interviews were conducted with three different types of recipients across Pakistan and Sierra Leone. There are some obstacles affecting this sustainable ME donation program. These hurdles can be overcome by strict compliance with the official WHO guidelines, empowering the recipient through communication and policy, establishing vital metrics, and developing sustainable long-term donor-recipient relationships, and by comprehensive evaluation of the impact of all the stakeholders in the ME ecosystem. This study concludes that well-established guidelines and policies are critical to successful ME donation programs
Dynamic deep graph convolution with enhanced transformer networks for time series anomaly detection in IoT
Get PDFAnomaly detection of multi-time series data during the working process of Internet of Things systems that utilize sensors is one of the key aspects to prevent accidents in industrial information systems. The key challenge is to discover generalized normal patterns by capturing spatio-temporal correlations in multi-sensor data. However, most of the existing studies face the following challenges: (1) Complex topologies and nonlinear connectivity among sensors lack effective characterization methods. (2) Sophisticated correlations among time series need to be mined deeply. Therefore, we propose a novel dynamic deep graph convolution with enhanced transformer networks (DDGCT) for time series anomaly detection. We first construct a dynamic deep graph convolutional network to automatically learn the complex spatial dependencies of sensor data, which introduces norm with Hard Concrete distribution to further guide the optimization of graph structure in graph learning. Meanwhile, we devise a new transformer model to deeply mine temporal dependencies from time-series data by designing a new positional encoding coupled with patch design as well as channel independence constraint. Then, DDGCT fuses and optimizes the captured temporal and deep spatial features using attention networks. Finally, anomaly scores are efficiently computed by prediction methods with threshold-based approaches to detect anomalies. Extensive experiments on real datasets show that DDGCT outperforms several state-of-the-art methods
Managing the biodiversity implications of solar farms on rural and peri-urban land
Get PDFIt is sometimes argued that rural and peri-urban solar farms reduce arable and grazing land and harm biodiversity. When planned effectively, however, they can enhance rather than harm biodiversity. By applying lessons from recent research and utilising innovative technology, such conflicts can be effectively mitigated and even overcome. Hence, solar farms can contribute to positive synergies as part of mixed land-use, thus also achieving biodiversity net gains and contributions to climate change and sustainability policies. This policy brief outlines practical recommendations for applicants, local planning authorities and other stakeholders to achieve biodiversity net gains and livelihood diversification, while contributing to climate and sustainability goals
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