Social prescribing (SP) has emerged as a non-medical strategy to enhance cancer survivors’ well-being by addressing psychosocial challenges through diverse interventions. Despite growing evidence of benefits, a comprehensive synthesis of intervention effectiveness and implementation barriers remains limited. This scoping review updates current evidence on SP interventions, outcomes, and challenges among cancer survivors. To identify and map SP interventions for post-treatment cancer survivors, assess their impact on well-being and quality of life, and summarise barriers and recommendations for improved accessibility and sustainability. Peer-reviewed studies involving adult cancer survivors that evaluated SP-related interventions with psychological, emotional, or quality of life outcomes were included. Reviews, editorials, conference abstracts, and non-English studies were excluded. Three databases (Scopus, PubMed, APA PsycINFO) were searched up to March 31, 2025. Data extraction captured study design, intervention type, setting, population, outcomes, and reported benefits or limitations. Narrative synthesis followed PRISMA-ScR and SWiM guidelines. Thirty-two studies assessed seven intervention types: gardening, peer support, expressive writing, art therapy, physical activity, blue prescriptions, and spiritual care. These interventions enhanced emotional resilience, reduced stress, fostered social connections, and improved coping. Reported barriers included limited access to resources, participant engagement, professional support, and long-term sustainability. SP interventions provide significant psychological and emotional benefits for cancer survivors. Addressing accessibility, engagement, and sustainability challenges is essential. Future research should explore hybrid and digital SP models with structured professional involvement to improve reach and effectiveness.
This study examines China's stance in United Nations General Assembly (UNGA) emergency sessions on Ukraine through the lens of the securitisation theory, situating it within the broader historical trajectory of China's UNGA practices since its admission in 1971. The study demonstrates that China's rhetorical strategy is not an isolated response to the Ukraine crisis, but part of a long-standing pattern of ideological securitisation and pragmatic desecuritisation. In the Ukraine debates, China desecuritised the war itself by framing it as a 'situation' resolvable through dialogue while securitising systemic threats such as NATO expansion, unilateral sanctions and Cold War mentality. This allowed China to protect its strategic partnership with Russia while upholding UN Charter principles and appeal to the Global South's concerns. The findings contribute to the securitisation theory by showing that securitisation is best understood diachronically as a repertoire of practices evolving over time and that multilateral forums such as the UNGA function as arenas of normative contestation and coalition-building rather than sites of emergency decision-making. Institutionally, the analysis underscores the UNGA's role during the Security Council paralysis as a stage for great-power discursive competition.
This article offers a relational analysis of the Pashtun Tahafuz Movement (PTM) in Pakistan. Moving beyond static frameworks, it conceptualizes PTM as an emergent assemblage constituted through evolving social relations. Examining movement-generated sources and digital traces, it traces how relational mechanisms-such as transforming private grief into collective claims and performative protest-shape its identity and agency. The analysis highlights the roles of embodied action, non-human actors, and internal tensions, revealing dynamics obscured by conventional approaches. It contributes to debates on non-violent ethnopolitical mobilization under militarized governance, demonstrating the value of a relational lens for understanding social movements.
Artificial intelligence is becoming part of ordinary administrative practice across the public sector. Systems used to prioritise cases, detect fraud, allocate resources, and support policy analysis are now embedded in many areas of government. Their growing use has sharpened long-standing concerns about opacity, fairness, accountability, and privacy. Although these concerns are well established in the literature, there is still limited understanding of how ethical commitments are translated into routine institutional practice. This paper addresses that gap by developing an institutional operationalisation model for AI governance in the public sector. The study draws on institutional theory and a mixed-methods design combining a structured review of the literature with survey data from 423 respondents and semi-structured interviews with 47 participants across government, technical, academic, civil society, private sector, and citizen groups. The analysis shows that privacy, bias, and limited transparency remain the most pressing concerns, but it also reveals a more fundamental issue: trust in public-sector AI depends less on technical optimism than on confidence in the institutions that govern these systems. Government and technical actors tend to emphasise efficiency and feasibility, whereas citizens and civil society respondents place greater weight on contestability, accountability, and procedural fairness. On this basis, the paper argues that the central challenge is not simply defining ethical principles, but embedding them in durable governance arrangements. It proposes a model that connects transparency, accountability, fairness, privacy, and participation to concrete institutional mechanisms such as audit procedures, documentation standards, oversight structures, impact assessments, and avenues for appeal. The paper contributes to scholarship on AI governance by shifting attention from principle-based ethics to the institutional conditions under which ethical claims become credible in practice.
In biomedical testing, especially in clinical urine testing, the concentration of ascorbic acid (AA) can interfere with the accuracy of detecting other substance such as glucose, cholesterol and uric acid, which is a common issue that affects the reliability of clinical urine analysis. To eliminate the interference of AA in clinical urine detection, an optical fiber integrated photoelectrochemical (PEC) sensor based on metal organic framework (MOF) materials for urine ascorbic acid detection was developed in this paper. MOF materials, such as ZIF-8, not only improve the photoelectric conversion efficiency of PEC sensor, but also promote the enrichment of analytes owing to its large specific surface area and rich chemical groups. To our knowledge, this is the first application of MOF materials in optical fiber integrated PEC sensors. The optical fiber was modified with ITO/TiOx/ZIF-8/ZnS to fabricate an integrated probe. Finally, a self-powered integrated sensor was proposed based on the optical fiber and MOF materials. The results indicate that the sensor has a wide linear detection range from 10-6 M to 10-1.5 M for AA in artificial urine, a detection limit (LOD) of 0.45 mu M, and strong specificity and repeatability. Meanwhile, the sensor has a response time as short as 0.3 s and a relative standard deviation (RSD) within 5 % in genuine urine. In conclusion, this sensor offers a new rapid detection method for AA in urine, with potential for practical detections, while expanding the development possibilities of optical fiber PEC sensors and the application scope of MOF materials.
