University College of Northern Denmark (Danish: Professionshøjskolen UCN) is one of six regional organizations of different study sites in Denmark (Danish: professionshøjskoler) offering courses of professional relevance. Some courses are considered on par with bachelor level if enrolling in a university.UCN presently has four schools - health, education, technology & business and further and lifelong education. The most recent merger took place in 2009 and UCN now has branches in Aalborg, Hjørring, and Thisted. UCN works in association with Aalborg University (AAU).Besides the provision of first cycle higher education, University College of Northern Denmark is also active in applied research, innovation, development and continuing education. UCN University College of Northern Denmark has 10,000 full-time students, 8,000 part-time students, 1,200 international full-time students, and 750 employees. UCN has more than 100 partner universities worldwide.UCN is an institution of the UAS type with applied sciences and close contact with the public and private business sector..
To investigate the association between multimorbidity level, all-cause 30-day readmissions, and 30-day mortality in a cohort of patients hospitalised with an ambulatory care sensitive condition. Older patients with moderate or severe multimorbidity had higher 30-day readmission and mortality compared with those without multimorbidity, increasing with the level of multimorbidity. Multimorbidity increases 30-day readmission and mortality risk. Identifying high-risk patients and tailoring care during and after hospitalisation is therefore crucial. We investigated the association between multimorbidity level, all-cause 30-day readmissions, and post-discharge 30-day mortality. Using Danish national registries, we identified patients aged ≥ 65 years hospitalized for ambulatory care-sensitive conditions between 2013–2018. Multimorbidity was defined as having 2–3 (moderate) or ≥ 4 (severe) of 39 chronic conditions. We estimated 30-day cumulative incidence of readmission after discharge and used Cox regression to calculate hazard ratios (HRs) for readmission and mortality. Among 178,445 patients, median age was 78 years (IQR: 71–85), 59
This article explores the ‘transformed institutionalization’ of individuals with intellectual disabilities in Denmark, Finland, and Sweden. The concept refers to how living arrangements formally classified as non-institutional settings in practice retain key features of traditional institutions. This is a critical, thematic study based on literature from a wide-ranging field, aiming to offer a nuanced understanding of the challenges in achieving full deinstitutionalization. Three institutional trends are scrutinized across the three countries: (1) the increasing number of residents per unit, (2) the persistence of institutional cultures, and (3) the lack of individualized support. In accordance with the argument that deinstitutionalization did not eliminate the mechanisms of control but rather transformed them, we argue that institutional logics persist and transform in ostensibly post-institutional settings. Examining this ‘transformed institutionalization’ also calls into question the Nordic countries’ reputation as leaders in the development of social welfare services for people with intellectual disabilities.
The digital transformation of industry relies on a range of technologies related to manufacturing, data processing and sensors. Among these, machine vision enables real-time quality inspection. However, small- and medium-sized enterprises (SMEs) struggle to adopt this technology. To support awareness and informed decision-making, this study examines the key barriers and opportunities for machine vision adoption. Drawing on stakeholder interviews, the analysis includes three enterprise categories: machine vision manufacturers, Danish SMEs in manufacturing and engineering services and production firms. Using the Gioia methodology, the findings are categorised into sensing, seizing, and transformation barriers. To deepen the analysis, the study also incorporates insights from automation engineering students based on their internship experiences. The results reveal that environmental and competency-related factors are widely recognised as barriers, while perceptions of transparency and other technical issues vary across vendors, builders and end users. These insights can inform practitioners and researchers working to advance machine vision implementation in industrial contexts.
Small- and medium-sized enterprises (SMEs) are vital to the economy across various business domains, including manufacturing. However, as manufacturing principles and technologies evolve, SMEs often struggle to fully benefit from emerging knowledge and innovations. Their limited capacity to absorb and apply expertise in physical and data-driven processes hinders manufacturing innovation. One way to build this capacity is through professionals’ engagement in learning factory activities. Learning factory approaches have been proposed as a means to support the development of knowledge and competencies essential for manufacturing innovation. To advance the understanding of how knowledge and skills gained through learning factory approaches influence manufacturing innovation, this study explores the question: “What role do diverse learning factory approaches play in facilitating SMEs’ transition to new manufacturing technologies and operational strategies?”
