Societies

Armed conflict can disrupt mental health, social relationships, livelihoods, and cultural continuity. This qualitative study explored the meanings of artisanal sesame (Sesamum indicum L.) transformation in the narratives of ten women survivors of armed conflict in Montes de María, Colombia. Oral accounts were examined through a staged narrative and hermeneutic approach complemented by exploratory LIWC-22 linguistic analysis. The interviews highlighted intergenerational knowledge, embodied technical expertise, economic continuity, cultural identity, and perceived well-being. Social and cognitive linguistic categories offered additional descriptive perspectives but did not constitute clinical measures of resilience. We interpret sesame transformation as a culturally situated practice through which participants narrated livelihood reconstruction, collective memory, and agency amid structural constraints. An exploratory Ancestral Food-Based Neuroresilience conceptual framework is proposed to distinguish these psychosocial findings from hypotheses about the biological properties of sesame-derived products, which require independent experimental and clinical evaluation. The study highlights the importance of recognizing ancestral food practices and women’s participation in gender-responsive post-conflict recovery.

This paper explores how artificial intelligence (AI) is reshaping medicalisation in the everyday management of diabetes. Drawing on a preliminary web survey of a non-probability sample of 1932 self-selected participants, it examines treatment adherence, dietary practices, quality of life and the use of innovative digital technologies. The findings suggest that AI-supported technologies, including self-management tools and continuous glucose monitoring systems, can support treatment adherence and more personalised care. Experiences of medicalisation differ according to diabetes type, individual coping strategies and patterns of AI use, suggesting that algorithmic systems reshape rather than simply reinforce traditional processes of medicalisation. In this context, medicalisation takes on a positive connotation and is closely linked to pharmacologisation. AI plays an emerging role as an intermediary between patients and physicians, opening up new avenues for research into the social, ethical and organisational implications of these developments and their relationship with telemedicine.

Streaming-based teaching is now an established part of higher education, yet its contribution to educational inclusion depends on more than access to technology. This systematic review examined how empirical research on streaming-based higher education represents educational inclusion and which conditions facilitate or constrain inclusive participation. Following PRISMA 2020, we searched Scopus and Web of Science (final search: 28 September 2026) for peer-reviewed, primary empirical articles published in English from 2018 onward. Nineteen studies met the criteria. We appraised methodological quality with the Mixed Methods Appraisal Tool and synthesized findings thematically. Inclusion was defined by three non-mutually exclusive dimensions: access and design (all 19 studies) and recognition of learner diversity (15 studies, 78.9%). Pedagogical fit and instructional design (18/19), flexibility and multimodality (17/19), and interaction and social presence (16/19) were the most frequent facilitators. Pedagogical fit and interaction were also reported as barriers in 15 studies each, and connectivity and infrastructure were mainly barriers (14/19). Streaming is therefore not inherently inclusive; its contribution depends on how access, recognition of learner variability, accessible design, pedagogical alignment, and institutional support interact. The proposed Access–Recognition–Design framework is an analytical structure, not a validated model.