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Python module developed by AUSSDA and GDCC for the accessing the Dataverse API’s and manipulating and using the Dataverse (meta)data - Dataverses, Datasets, Datafiles. Funded by SSHOC project.

This supplemental material proves two claims of the main paper named "Speed-Robust Scheduling". It provides a Mathematica sheet and its output, proving the last claim of Lemma 11; a Python script used to certify that for the relevant values of number of machines and unit-size jobs, there exists a 4/3-robust solution (Lemma 15); a compressed data file containing the input of the script check.py; a file with human-readable data.

Objectives: To systematically evaluate the association of individual and contextual social capital with oral health outcomes in children and adolescents. Methods: Electronic searches were performed in PubMed/Medline, Embase, Web of Science and Scopus databases for articles published from 1966 up to June 2021. Two calibrated reviewers screened and critically appraised the identified papers. Observational studies that evaluated the relationship of individual or/and contextual social capital or their proxies with oral health outcomes in children and adolescents using validated methods were included. Quality assessment was conducted using the Newcastle-Ottawa Scale. Data were extracted for narrative synthesis and meta-analysis followed by a meta-regression model. Meta-analysis using random effects method was used to estimate pooled prevalence ratio (PR) and 95% confidence intervals (CI). Results: Of the 3060 studies initially retrieved, 31 were included in the systematic review and 21 in the meta-analysis, totalling 81 241 individuals. The clinical outcomes included dental caries and gingival bleeding and subjective outcomes were oral health-related quality of life (OHRQoL) and self-rated oral health (SROH). Individuals with lower levels of individual social capital had a higher prevalence of poor clinical (PR 1.11; 95%CI 1.02–1.22) and subjective (PR 1.25; 95%CI 1.09–1.45) oral health conditions. The prevalence of worse clinical (PR 1.34; 95%CI 1.11–1.61) and subjective (PR 1.56; 95%CI 1.13–2.16) oral health outcomes were also associated with lower levels of contextual social capital. In general, the contextual level of social capital exerted more impact, and the subjective oral health outcomes were the more affected. Conclusions: Contextual and individual social capital were positively related to oral health outcomes, such as dental caries, gingival bleeding, SROH and OHRQoL in children and adolescents.

Zeynep Kaşlı tells a story of missed connections between Greece and Turkey, at a railway station stranded between contested pasts.

Information and communication technology (ICT) can potentially support older adults in making decisions and increase their involvement in decision-making processes. Although the range of technical products has expanded in various areas of society, knowledge is lacking on the influence that ICT has on older adults' decision-making in everyday situations. Based on the literature, we aimed to provide an overview of the role of ICT in home-dwelling older adults' decision-making in relation to health, and health and social care services. A scoping review of articles published between 2010 and 2020 was undertaken by searching five electronic databases. Finally, 12 articles using qualitative, quantitative, and mixed-method designs were included. The articles were published in journals representing biology and medicine, nursing, informatics, and computer science. A majority of the articles were published in the last five years, and most articles came from European countries. The results are presented in three categories: (i) form and function of ICT for decision-making, (ii) perceived value and effect of ICT for decision-making, and (iii) factors influencing ICT use for decision-making. According to our findings, ICT for decision-making in relation to health, and health and social care services was more implicitly described than explicitly described, and we conclude that more research on this topic is needed. Future research should engage older adults and health professionals in developing technology based on their needs. Further, factors that influence older adults' use of ICT should be evaluated to ensure that it is successfully integrated into their daily lives.

Meet some of the members of the Maastricht University Ethnography Group, and find out more about the kinds of methods they use.