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A Unified Portfolio Theory: Explaining, Unifying, and Guiding Portfolio Selection with Parsimony
No full textMarkowitz Portfolio Theory (MPT) provides a normative framework for portfolio choice but falls short in capturing the heterogeneity of real-world investor behaviours. Recent research shows that two principles — Subjective Allocation Rule (SAR) and Minimum Tracking Error (MTE) — suffice to reconcile such heterogeneity within a single framework. This paper advances the argument from parsimony to completeness by establishing an axiomatic foundation that identifies allocation and mimicking as the two mutually exclusive atoms of active portfolio selection, and shows how SAR and MTE jointly explain, unify, and guide practice. The result is a practical, behaviour-consistent generalisation of MPT: a Unified Portfolio Theory
The joint mechanical function and control of the front leg during cricket fast bowling: A 3D motion analysis study
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Comparative Report on Intervention Results across 5 countries on Political Self-efficacy and identifying the Mechanisms that develop this Attitude
Get PDFOverview /This report evaluates the effectiveness of the G-EPIC intervention - a 5-lesson educational programme designed to increase political self-efficacy among disadvantaged girls - across 5 countries (Belgium, Czechia, Denmark, Germany, United Kingdom). Using a mixed-methods approach (quantitative surveys and qualitative observations, focus groups and interviews), the study assesses whether the intervention improved students' confidence in their political knowledge, skills for political engagement (e.g. speaking in front of class on political issues), broadened their definition of politics, and encouraged future political participation. 1340 students participated in the study (Year 9/approx. age 13-14) from 45 schools and delivered by 46 teachers
Girls’ empowerment through politics in classrooms: UK National Report
Get PDFThis report presents the development and quasi-experimental and mixed methods evaluation of effectiveness of the Girls Empowerment through Politics in Classrooms (G-EPIC) 5 class programme of lessons designed to increase levels of political selfefficacy of disadvantaged girls. This programme was initially developed in England by Roehampton University and then upscaled and contextualised in Belgium, Czechia, Germany and Denmark.The G-EPIC intervention was designed to increase the political self-efficacy of Year 9 girls in schools with high levels of student deprivation. Political self-efficacy is defined as an individual’s confidence in their capacity to understand and engage in political processes. Addressing the enduring gender gap in political self-efficacy, which is evident in early adolescence and linked to future political participation, is crucial for enhancing gender equality in civic life and responding to current democratic challenges.<br/
Edge-Enabled Hybrid Encryption Framework for Secure Health Information Exchange in IoT-Based Smart Healthcare Systems
No full textThe integration of the Internet of Things (IoT) and edge computing is transforming healthcare by enabling real-time acquisition, processing, and exchange of sensitive patient data close to the data source. However, the distributed nature of IoT-enabled smart healthcare systems exposes them to severe security and privacy risks during health information exchange (HIE). This study proposes an edge-enabled hybrid encryption framework that combines elliptic curve cryptography (ECC), HMAC-SHA256, and the Advanced Encryption Standard (AES) to ensure data confidentiality, integrity, and efficient computation in healthcare communication networks. The proposed model minimizes latency and reduces cloud dependency by executing encryption and verification at the network edge. It provides the first systematic comparison of hybrid encryption configurations for edge-based HIE, evaluating CPU usage, memory consumption, and scalability across varying data volumes. Experimental results demonstrate that the ECC + HMAC-SHA256 + AES configuration achieves high encryption efficiency and strong resistance to attacks while maintaining lightweight processing suitable for edge devices. This approach provides a scalable and secure solution for protecting sensitive health data in next-generation IoT-enabled smart healthcare systems
