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SP-01 From partnerships to practice: addressing inequities in palliative and end-of-life care
Introduction Ethnic inequities in palliative and end-of-life care (PEoLC) remain a persistent challenge across the UK. Barriers including limited awareness, mistrust of services, cultural misalignment, and linguistic difficulties continue to shape care experiences for ethnically diverse and seldom heard communities. This abstract presents three interconnected strands of work demonstrating how research, practice, and community partnership can collectively address these inequities.Aims To present an integrated account of how a research partnership network, a community connector model, and a focused study of Eastern European communities illuminate barriers to PEoLC and identify approaches that support culturally competent, person-centred care.Methods The abstract draws on three interlinked programmes of work:KEEch research Partnership NETwork, a regional research partnership network engaging communities, services, and institutions to identify system-level barriers and co-produce priorities for change;a qualitative study exploring the Community Connector model, including interviews with connectors, faith leaders and professional stakeholders; anda doctoral study examining low uptake of PEoLC among Eastern European communities in Bedfordshire, Luton and Milton Keynes and Hertfordshire, with particular attention to challenges of access and engagement.Results KEEP-NET findings highlight fragmented pathways, limited cultural competence, and gaps between statutory services and trusted community structures. The Community Connector study demonstrates how connectors build trust, facilitate communication, and support culturally aligned engagement with PEoLC. The Eastern European study identifies distinct barriers related to mobility, lack of awareness, language, and differing expectations of care. Across all strands, community-rooted approaches improved relevance, acceptability, and early engagement.Conclusion Partnership-driven, culturally grounded strategies are essential for addressing inequities in PEoLC. Integrating community knowledge with professional practice strengthens trust, communication, and access.Impact This combined work provides actionable insights for services and commissioners seeking to deliver equitable, culturally appropriate PEoLC across diverse UK communities
Investigating the determinants of intention to use IoT for preventing food waste by UK food supply chain companies
Purpose - Food companies are still unsure about using IoT-based sensors and remain reluctant to adopt them for the purpose of food waste prevention. To address this problem, this study aims to examine the determinants of the intention to use IoT-based sensors for preventing food waste by the food supply chain companies in the UK. Design/methodology/approach - This research develops a comprehensive Motivation- OpportunityAbility-Trust (MOAT) model that extends and contextualises the original Motivation-OpportunityAbility (MOA) model in the context of using IoT sensors in food supply chain companies for preventing food waste. The MOAT model is tested using data collected from a questionnaire survey with 315 senior managers in the UK food sector. Findings - The findings show that opportunity and trust positively influence the managers’ behavioural intention to use IoT for food waste prevention, are therefore key determinants to IoT adoption for food waste prevention. Data analysis highlighted the role of trust as the underlying principle in food supply chains when adopting IoT sensors in all operational level activities. Originality – This study contextualises and extends the original MOA model into MOAT framework to reflect the characteristics and applications IoT in food waste prevention in food supply chains. The MOAT model provides a foundation for further research and practical strategies. This study makes valuable contributions to the theoretical development and practical understanding of the influence of ability, opportunity, motivation and trust on IoT sensor adoption for preventing food waste among food companies.<br/
Lived experiences of assisted reproductive technology treatment among men with azoospermia in Taiwan:a qualitative study
BackgroundAzoospermia, defined as the absence of sperm in the ejaculate, represents the most severe form of male infertility. Advancements in assisted reproductive technologies (ART) have greatly improved treatment options, allowing men with azoospermia to have biological children. While these men are significantly likely to experience psychosocial challenges due to the dual impact of infertility and ART treatment, few studies have explored their lived experiences in East Asian societies. Our study aimed to explore lived psychosocial experiences of ART treatment among men with azoospermia in Taiwan.MethodsWe conducted qualitative in-depth interviews with ten men diagnosed with azoospermia who have undergone ART at a fertility centre in Taipei, Taiwan. Recorded interviews were transcribed and analysed using a descriptive phenomenological approach.ResultsWe found four interconnected themes and nine subthemes. Themes included: psychological turmoil following diagnosis, familial pressures and societal stigma, physical and emotional impact of sperm retrieval processes, compounded guilt from spouse’s suffering and worries about genetic transmission. Azoospermia diagnosis triggered profound emotional distress, disrupting participants’ perceptions of being healthy and adequate. They faced intense familial and societal expectations to achieve fatherhood, compounded by cultural values prioritising lineage and patrilineal continuity. All participants described the pain and discomfort involved in sperm extraction procedures as physically traumatic and emotionally degrading. Many men felt a lack of agency during sperm extraction due to lack of sensitivity and privacy in clinical interactions and environments. Participants expressed profound guilt over the physical and emotional difficulties that their spouses underwent during ART, which further intensified their own feelings of guilt. There were recurrent fears about passing azoospermia to their children, particularly among those with idiopathic or genetic causes.ConclusionOur findings provide insights into the physical, emotional, and social challenges faced by men with azoospermia undergoing ART treatment and demonstrate the need for integrating holistic person-centred approaches and interventions in andrological evaluations and ART treatment to enhance patient well-being, self-esteem and resilience. In societies where filial obligations make couples particularly vulnerable, individual and family interventions should be supplemented by wider sensitisation and awareness programmes to challenge the myths, stereotypes and prejudices associated with male infertility
Lived experiences of assisted reproductive technology treatment among men with azoospermia in Taiwan:a qualitative study
BackgroundAzoospermia, defined as the absence of sperm in the ejaculate, represents the most severe form of male infertility. Advancements in assisted reproductive technologies (ART) have greatly improved treatment options, allowing men with azoospermia to have biological children. While these men are significantly likely to experience psychosocial challenges due to the dual impact of infertility and ART treatment, few studies have explored their lived experiences in East Asian societies. Our study aimed to explore lived psychosocial experiences of ART treatment among men with azoospermia in Taiwan.MethodsWe conducted qualitative in-depth interviews with ten men diagnosed with azoospermia who have undergone ART at a fertility centre in Taipei, Taiwan. Recorded interviews were transcribed and analysed using a descriptive phenomenological approach.ResultsWe found four interconnected themes and nine subthemes. Themes included: psychological turmoil following diagnosis, familial pressures and societal stigma, physical and emotional impact of sperm retrieval processes, compounded guilt from spouse’s suffering and worries about genetic transmission. Azoospermia diagnosis triggered profound emotional distress, disrupting participants’ perceptions of being healthy and adequate. They faced intense familial and societal expectations to achieve fatherhood, compounded by cultural values prioritising lineage and patrilineal continuity. All participants described the pain and discomfort involved in sperm extraction procedures as physically traumatic and emotionally degrading. Many men felt a lack of agency during sperm extraction due to lack of sensitivity and privacy in clinical interactions and environments. Participants expressed profound guilt over the physical and emotional difficulties that their spouses underwent during ART, which further intensified their own feelings of guilt. There were recurrent fears about passing azoospermia to their children, particularly among those with idiopathic or genetic causes.ConclusionOur findings provide insights into the physical, emotional, and social challenges faced by men with azoospermia undergoing ART treatment and demonstrate the need for integrating holistic person-centred approaches and interventions in andrological evaluations and ART treatment to enhance patient well-being, self-esteem and resilience. In societies where filial obligations make couples particularly vulnerable, individual and family interventions should be supplemented by wider sensitisation and awareness programmes to challenge the myths, stereotypes and prejudices associated with male infertility
Federated learning for 6G security: a survey on threats, solutions and research directions
The Sixth-Generation (6G) are already in the horizon, owing to advents of communication technologies towards enabling intelligent applications and services.} Federated Learning (FL) is a distributed Artificial Intelligence (AI) technology that underpins 6G communication technologies and applications. Interestingly, FL is also a promising contender to enhance 6G security. This paper presents a comprehensive and up-to-date review of FL-enabled 6G security. The paper explores security threats in FL for 6G, threats in FL for 6G, and threats shared across FL and 6G. Subsequently, how FL can be utilized to strengthen 6G security in the Radio Access Network (RAN), Open RAN (O-RAN), network edge, and network orchestration and core is presented. In addition, FL is for 6G application and service security across various emerging applications, ranging from Connected Autonomous Vehicles (CAVs) to the envisaged metaverse applications. The paper then consolidates lessons learned, projects, and proposes future research directions to establish the role of FL in strengthening 6G security
Health and social care:transformative learning through apprenticeships
This chapter highlights the transformative impact of Higher Education Apprenticeships in the health and social care sector. Through a collaboration between local authorities, hospitals, wider care providers, and universities, apprentices gain hands-on experience alongside academic study, earning qualifications while contributing to service user and client interventions and care. This innovative approach not only addresses skills shortages but also enhances the quality of service delivery, demonstrating the vital role Higher Education Apprenticeships play in advancing health and social care and improving outcomes for those who use their services. The apprenticeship curriculum emphasises real-world clinical and practice-focused skills, critical thinking, and compassionate care, preparing apprentices to meet the evolving needs of local communities. In this chapter, we take a case study approach to explore apprentices’ learning experience within the health and social care setting when viewed through the lens of the Iterative Learning Model proposed by Lewis. This model is ideal because, instead of viewing apprenticeship learning as solely the result of either lecturer/practice educator guidance or self-determination by the learner, it acknowledges the combined roles of both parties in a partnership where responsibility is mutually defined. The model articulates several key stages in the acquisition of knowledge and skills within health and social care environments, which are themselves dependent upon development opportunities by which the learner may reinforce knowledge and skills through repeated engagement and application over the length of their apprenticeship.<br/
Federated learning for 6G security: a survey on threats, solutions and research directions
The Sixth-Generation (6G) are already in the horizon, owing to advents of communication technologies towards enabling intelligent applications and services.} Federated Learning (FL) is a distributed Artificial Intelligence (AI) technology that underpins 6G communication technologies and applications. Interestingly, FL is also a promising contender to enhance 6G security. This paper presents a comprehensive and up-to-date review of FL-enabled 6G security. The paper explores security threats in FL for 6G, threats in FL for 6G, and threats shared across FL and 6G. Subsequently, how FL can be utilized to strengthen 6G security in the Radio Access Network (RAN), Open RAN (O-RAN), network edge, and network orchestration and core is presented. In addition, FL is for 6G application and service security across various emerging applications, ranging from Connected Autonomous Vehicles (CAVs) to the envisaged metaverse applications. The paper then consolidates lessons learned, projects, and proposes future research directions to establish the role of FL in strengthening 6G security
Synthesis and evaluation of 14β-acyl substituted 17-cyclopropylmethyl-7,8-dihydromorphinone derivatives:mixed partial agonists at mu opioid and nociception/orphanin FQ peptide receptors
Opioids remain the standard of care for management of severe pain, but adverse effects limit their use, particularly for the treatment of chronic pain. Compounds that have dual partial agonist activity at mu opioid (MOP) and nociceptin opioid peptide (NOP) receptors have been shown, in non-human primates, to display excellent analgesic activity with greatly reduced adverse effect profile. In this study we looked to increase the range of MOP/NOP dual acting compounds and, in particular, provide ligands with a greater diversity of MOP:NOP profiles. Reduction of the C6 carbonyl in the naltrexone scaffold to methylene resulted in a balanced MOP:NOP receptor profile in this series, in particular increasing potency at the NOP receptor. Ultimately, this will allow us to determine the optimal profiles for a range of therapeutic indications including pain and drug use disorders.</p
Quantum-resistant security for blockchain-enabled 6G networks:a comprehensive review
The exponential advancement of quantum computing poses an unprecedented threat to blockchain technology and emerging Sixth Generation (6G) networks, necessitating an urgent transition to post-quantum cryptographic solutions. This comprehensive review proposed post-quantum Cryptography (PQC) integration within Blockchain Enabled 6G (BE6G) architectures, highlighting vulnerabilities by Shor's and Grover's algorithms according to existing cryptographic standards, including Rivest-Shamir-Adleman (RSA), Elliptic Curve Digital Signature Algorithm (ECDSA), and Elliptic-Curve Cryptography (ECC). The paper addresses quantum computing fundamentals and blockchain security implications, exploring quantum-resistant cryptographic schemes including lattice-based, hash-based, code-based, and multivariate approaches. Through systematic examination of post-quantum threats, this review shows vulnerabilities affecting nearly 25% of existing cryptocurrency assets, presenting how quantum computers can break public-key systems in polynomial time. The study proposes solutions for implementing quantum-resistant blockchain architectures throughout 6G components, including Radio Access Network (RAN), edge computing, and core transport networks, while meeting ultra-low latency and scalability requirements. Key findings elaborate that hybrid cryptographic approaches combining classical and quantum-resistant algorithms provide promising directions. Lattice-based algorithms, particularly CRYSTALS-kyber and CRYSTALS-dilithium, are identified as primary deployment candidates. The review concludes that successful Quantum-Resistant Security deployment for BE6G Networks requires unprecedented coordination among telecommunication operators, blockchain developers, equipment manufacturers, and regulatory bodies. The 'harvest now, decrypt later' threat model creates sudden implementation, valuable for long-term digital infrastructure security.</p