University of Applied Sciences Emden Leer
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Factors Contributing to Resilience Among First Generation Migrants, Refugees and Asylum Seekers: A Systematic Review
No full textObjectives: We aimed at 1) collating and evaluating the current evidence on factors contributing to resilience of adult transnational migrants, 2) identifying methodological factors which contribute to the findings, 3) identifying and analyzing promotive and preventive factors contributing to the findings.
Methods: A systematic search for relevant studies published until 2021 was conducted in PubMed, PsycINFO, PTSDPubs, and Web of Science. Both, quantitative and qualitative peer-reviewed observational studies reporting on resilience and wellbeing, sense of coherence, or post-traumatic growth outcomes among transnational migrants (aged 18+). Risk of Bias was assessed using the Critical Appraisal Skills Program for qualitative studies and the Appraisal Tool for cross-sectional studies. Due to the heterogeneity of studies we did a narrative review.
Results: Database search yielded 3,756 unique records, of those n = 80 records, representing n = 76 studies met the inclusion criteria. The studies provided knowledge on resilience for n = 9,845 transnational migrants across 23 countries. All studies except two were cross sectional. N = 45 reported on resilience, n = 4 on Sense of Coherence and n = 15 on Post-Traumatic Growth. The study methods were not related to the findings. Future orientation, hope and religion/spirituality, caring for others and having opportunities were shown to be more pertinent to resilience outcomes than institutional care structures.
Conclusion: Our findings highlight that mental health professionals and policymakers should try to support positive perspectives for the future and encourage policies tailored towards giving refugees opportunities to work, learn and care and to help others
European public mental health responses to the COVID-19 pandemic
No full textBackground
The coronavirus disease 2019 (COVID-19) pandemic increased multiple risk factors for mental health. Evidence-based, intersectoral public mental health responses are therefore critical. The primary aim of this study was to collate public mental health responses from across Europe.
Methods
We conducted a cross-sectional survey in March 2021. Participants were public and mental health professionals from across Europe. We developed an online instrument exploring five domains: changes in mental health supports during the pandemic; mental health support for vulnerable groups; multi-sectoral and service-user involvement; published mental health response plans; and perceived quality of overall country response.
Results
Fifty-two individuals from 20 European nations responded. Reported changes in mental health supports included an increase in online mental health supports (n = 18); but no change in long-term mental health funding (n = 13); and a decrease in access to early interventions (n = 9). Responses indicated mental health support for vulnerable groups was limited, as was multi-sectoral and service-user involvement. Few national mental health response plans existed (n = 9) and 48% of respondents felt their countries mental health response had been ‘poor’ or ‘very poor’.
Conclusions
Our results give insights into the changes in mental health support at a country level across Europe during the COVID-19 pandemic. They indicate countries were not prepared to respond and people with existing vulnerabilities were often neglected in response planning. To be prepared for future pandemics and environmental disasters Public Mental Health preparedness plans are highly needed. These must be developed cross-departmentally, and through the meaningful inclusion of vulnerable groups
Data Exchange, Data Management, and Integration of External Functions in the Implementation of an Open, Modular Distribution Grid Control System
No full textn this paper, the main results of the research project ofVerte LeitStand in the realization of an open, modular grid control system for distribution grids on a laboratory scale are presented. The topic of interoperability plays an important role here. Ensuring interoperability, i.e. the interaction of hardware and software components from different manufacturers, involves various challenges. One of the challenges is ensuring the exchange of data between the control system components. Proposed solutions for the selection of suitable communication protocols and the implementation of a uniform data exchange are developed. The integration of external control system functionalities and services is another challenge. Here it is examined and evaluated which possibilities exist to integrate the services as standardized as possible and how an implementation can concretely look like. A third important challenge is the issue of data management. If different applications in the control system use the same data, e.g. electricity grid parameters, shared data management is a good approach. However, this can lead to problems such as data inconsistencies. In order to avoid these problems, various concepts for error-free, shared data management are developed, evaluated and implemented
Pragmatic versus Hedonic: Determining the Dominant Quality in User Experience for Professional and Leisure Collaboration Tools
No full textAs collaborative technologies become integral in both professional and leisurely settings, especially during the rise of remote work and digital communities due to COVID-19, understanding the user experience (UX) factors is critical. This study aims to explore the differential importance of these UX factors across professional and leisure contexts, leveraging the widespread use of collaboration tools for an in-depth analysis. The objective of the study is to identify and assess key UX factors in collaboration tools, and to quantify their differential impact in professional and leisure settings. Our research underscores the nuanced role of context in evaluating User Experience (UX) factors’ importance in collaboration tools, with significant variances observed across professional and leisure settings. While some UX factors, including accessibility, clarity, and intuitive use, maintained universal importance across contexts and tools, others—specifically dependability and efficiency—co ntradicted assumptions of being universal "hygiene factors", demonstrating the complexity of UX evaluations. This complexity necessitates a differentiated approach for each context and collaboration tool type, challenging the possibility of a singular evaluation or statement
Development of a Shared UX Vision Based on UX Factors Ascertained Through Attribution
No full textUser experience (UX) is an important quality in differentiating products. For a product team, it is a challenge to develop a good positive user experience. A common UX vision for the product team supports the team in making goal-oriented decisions regarding the user experience. This paper presents an approach to developing a shared UX vision. This UX vision is developed by the product team while a collaborative session. To validate our approach, we conducted a first validation study. In this study, we conducted a collaborative session with two groups and a total of 37 participants. The group of participants comprised product managers, UX designers and comparable professional profiles. At the end of the collaborative session, participants had to fill out a questionnaire. Through questions and observations, we identified ten good practices and four bad practices in the application of our approach to developing a UX vision. The top 3 good practices mentioned by the participants include the definition of decision-making procedures (G1), determining the UX vision with the team (G2), and using general factors of the UX as a basis (G3). The top 3 bad practices are: providing too little time for the development of the UX vision (B1), not providing clear cluster designations (B2) and working without user data (B3). The results show that the present approach for developing a UX vision helps to promote a shared understanding of the intended UX in a quickly and simply way
Results of a Study to Improve the Spanish Version of the User Experience Questionnaire (UEQ)
No full textThis paper analyses changes in some items of the User Experience Questionnaire (UEQ) for use in the context of Costa Rican culture. Although a Spanish version of the UEQ was created in 2012, we use a double-translation and reconciliation model for detecting the more appropriate words for Costa Rican culture. These resulted in 7 new items that were added to the original Spanish version. In total, the resulting UEQ had 33 items. 161 participants took part in a study that examined both the original items and the new ones. Static analyses (Cronbach's Alpha, mean, variance, and confidence interval) were performed to measure the differences of the scales of the original items and the new UEQ variant with the Costa Rican words. Finally, confidence intervals of the individual items and Cronbach’s Alpha coefficient average of the affected scales were analysed. The results show, contrary to initial expectations, that the Costa Rican word version is neither better nor worse than the original Spanish version. However, this shows that the UEQ is very robust to some changes in the items
A Retrospective Study of the Benefits of The "CPS Engineering" Courses for Current Graduate Careers
No full textWell-trained engineers are needed to plan, design, develop and maintain cyber physical systems (CPS) that form the core of modern digitized industrial infrastructures. The development of such systems is challenging, however, according to industry representatives, the graduates are not adequately prepared for professional practice. In particular, there is a lack of transferable skills. To be employable and successful in their careers, students must have the opportunity to gain experience developing such systems during their studies and practice both technical and transferable skills in realistic environments. This paper aims to provide a retrospective view of the outcomes of two courses in industrial CPS engineering within the master’s program at ITMO University, St. Petersburg, Russia, conducted in the winter semesters of 2016/17 and 2017/18. For this purpose, graduates who participated in these courses were interviewed in 2022. The respondents reflected on the benefits of these courses for their work. The graduates reported that participation was highly relevant to both their professional and personal development. They indicated that they especially valued programming skills and collaboration and communication skills that they acquired in the courses
Analytics for the Optimization of the Soybean Oil Purification Process
No full textMachine Learning, Artificial Intelligence, among others, are very promising methodologies and technologies that are emerging for implementing a broad spectrum of analytics within digitalized eco-systems. Analytics containing adequate analytical models are generating a burgeoning interest from Business Intelligence-, Information Technology (IT)- and Operational Technology (OT) -professionals, who are able to exploit the huge amount of internally and externally available data and information that lies behind digitalized components and systems and their associated processes. In this paper, the authors present the essential specifications of an analytical model developed and implemented applying the Knowldege Discovery in Databases (KDD) approach. The analytical model is the essential part of an analytics component, positioned as an digitalized asset within an Industry 4.0-compliant (RAMI 4.0) infrastructure, and used to optimize the industrial Soybean Oil Purification Process associated to the digitalized eco-system
Industry 4.0-compliant Digitalization of a Re-configurable and Flexible Laser Cutter Module within a Digital Factory
No full textFollowing the requirements of the digital transfor-mation that is going on in different areas of the economy, e.g. industrial manufacturing and processes, transportation, logistics, energy infrastructure, etc., components and systems in the current industrial eco-systems are being migrated into an Industry 4.0-compliant digitalized and networked (Internet-!Ethernet-based) infrastructure, by transforming the traditional physical components and systems into cyber-physical systems (CPS). One essential foundational reference for supporting that dig-italization/migration process is given by the DIN Specification 91345 “Reference Architecture Model for Industry 4.0 (RAMI 4.0), complemented by the Asset Administration Shell (AAS) technology. Positioned within this 3D-Cyber-Physical-System-Model, assets are possessing both physical, as well as cyber-parts that allow them (i) to be networked and exchange digitalized data and information using Service-oriented Architecture (SoA) principles, and (ii) negotiate business applications applying e.g. bidding approaches according to the norm VDI/VDE 2931. In this paper, the authors describe the major technical spec-ifications and the results of the prototype implementation of an Industry 4.0-compliant digitalization of a Laser Cutter Module that is part of a reconfigurable and flexible manufacturing infrastructure located in the Digital Factory of the Institute for Industrial Informatics, Automation and Robotics (I2AR) of the University of Applied Sciences Emden/Leer, Germany