Sustainable Innovation in a Multi-University Master Course

Mobility, multi-locality, and transnational migration are current social developments among the population of the European Union. These social developments in society and companies, linked to the challenges of sustainability, lead to new requirements for working in the European Union. Teaching and learning in higher education needs to adapt to these requirements. As a result, new and innovative teaching and learning practices in higher education should provide competencies for transnational teamwork in the curriculum of tomorrow's engineers in order to ensure their competitiveness in the job market and advantage in their future careers. Thirteen European students from four countries participated in a new project-based course, called the "European Engineering Team". Students focused on the development of two innovative and sustainable products. The goal of this paper is to present the thermal pallet cover, which is the result of the first one-year transnational and sustainability-oriented project. This paper also aims to present the process of performing the project. It provides the overview and discussion of engineering and management tasks that students completed in the transnational environment, working remotely at their own campuses between scheduled transnational meetings. The work contributes to project-oriented learning that may constitute a basis for teaching holistic engineering courses at mechanical and industrial engineering departments

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

Differential effects of FTY720 on B-cell distribution and aggregation in a chronic mouse model of multiple sclerosis

Hintergrund - Die Multiple Sklerose (MS) ist bis heute eine nur teilweise verstandene Autoimmunerkrankung des zentralen Nervensystems (ZNS). Das Tiermodell der experimentellen autoimmunen Enzephalomyelitis (EAE) ermöglicht die Erforschung von Teilaspekten der Pathogenese der MS und kann zur Etablierung von Therapeutika herangezogen werden. Die MP4-abhängige EAE ermöglicht als Mausmodell die gezielte Erforschung der Rolle der B-Zelle als Akteur in der Pathogenese der MS. Diese Dissertation untersuchte den Effekt des S1P1-Rezeptor-Modulators FTY720 (Fingolimod) auf die Immunantwort der autoreaktiven B-Zellen in der Peripherie sowie im ZNS. Methoden - MP4-immunisierte Mäuse erhielten 50 Tage nach dem EAE-Krankheitsbeginn oral appliziertes FTY720 über einen Zeitraum von 30 Tagen. Die Tiere wurden nach dem Auftreten der Krankheitssymptome täglich klinisch evaluiert. Die MP4-spezifische B-Zell-Immunantwort und die MP4-spezifische humorale Immunreaktion wurden mittels ELISPOT und ELISA ausgewertet. Die Verteilung der T- und B-Zell-Anteile im peripheren Blut der Mäuse sowie die Aufteilung der B-Zell-Subsets in der Milz wurden mittels Durchflusszytometrie quantifiziert. Mittels Immunhistochemie wurden die B- und T-Zell-Ansammlungen im ZNS der Mäuse hinsichtlich ihrer Entwicklung in tertiär lymphatische Organe (TLOs) untersucht. Ergebnisse - In diesem Versuchsaufbau zeigte FTY720 keine signifikante Verbesserung des klinischen Krankheitsverlaufes der Tiere. Der Anteil von T-Zellen im peripheren Blut der Mäuse war unter der Therapie mit FTY720 signifikant reduziert, während die Anzahl an B-Zellen nicht-signifikant beeinflusst wurde. Bei der Untersuchung der B-Zell-Subtypen in der Milz fiel zunächst ein erhöhter Anteil an B220+-B-Zellen auf, während die Verteilung der weiteren Subsets nicht-signifikant verändert war. Unter der Therapie mit FTY720 zeigte sich keine Reduktion bereits etablierter B-Zell-Aggregate im ZNS, allerdings ist eine inhibierte Entwicklung in TLOs zu diskutieren. Zusammenfassung - Diese Arbeit impliziert unterschiedliche Effekte von FTY720 auf die B-Zellen in einem B-Zell-abhängigen chronischen Mausmodell der MS.Background Multiple sclerosis (MS) has remained a partially understood autoimmune disease of the central nervous system (CNS). Experimental autoimmune encephalomyelitis (EAE) triggered in animals is commonly used to study the pathogenesis of MS and to establish therapeutic agents. MP4-induced EAE represents a murine model of MS that allows targeted research on B cells, which have been a much-discussed protagonist in MS pathogenesis. This study investigates the effect of the S1P1 receptor modulator FTY720 (fingolimod) on the autoreactive B cell response as well as on the B cell distribution both in the periphery and the CNS. Methods Oral FTY720 application for a duration of 30 days was initiated in MP4-immunized mice 50 days after EAE onset. After immunization, clinical symptoms were monitored daily. The MP4-specific B cell and antibody response were studied using ELISPOT and ELISA. The distribution of peripheral B and T cells in the blood as well as B cell subsets in the spleen was evaluated by flow cytometry. The formation of B cell aggregates in the CNS and their development into tertiary lymphoid organs (TLOs) was studied by histology and immunohistochemistry. Results In this study, FTY720 did not significantly alter clinical EAE. Peripheral T cell numbers in the blood appeared to be significantly reduced after FTY720 treatment while the percentage of B cells were only slightly diminished. Evaluation of the B cell subsets in the spleen revealed a significantly higher percentage of B220+ B cells in FTY720-treated mice, whereas other B cell subtypes remained unaffected. Furthermore, there was no effect on already developed B cell aggregates in the CNS after FTY720 application, however treatment seemed to affect the evolution of B cell aggregates into TLOs. Conclusions This study implies differential effects of FTY720 treatment on the B cell compartment in a chronic B cell-dependent model of MS

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press