@inbook{28814, author = {{Eickelmann, Birgit and Bos, Wilfried and Gerick, Julia and Goldhammer, Frank and Schaumburg, Heike and Schwippert, Knut and Senkbeil, Martin and Vahrenhold, Jan}}, booktitle = {{ICILS 2018 #Deutschland – Computer- und informationsbezogene Kompetenzen von Schülerinnen und Schülern im zweiten internationalen Vergleich und Kompetenzen im Bereich Computational Thinking}}, editor = {{Eickelmann, Birgit and Bos, Wilfried and Gerick, Julia and Goldhammer, Frank and Schaumburg, Heike and Schwippert, Knut and Senkbeil, Martin and Vahrenhold, Jan}}, pages = {{33--77}}, publisher = {{Waxmann}}, title = {{{Anlage, Forschungsdesign und Durchführung der Studie ICILS 2018}}}, year = {{2019}}, } @book{28819, editor = {{Eickelmann, Birgit and Bos, Wilfried and Gerick, Julia and Goldhammer, Frank and Schaumburg, Heike and Schwippert, Knut and Senkbeil, Martin and Vahrenhold, Jan}}, publisher = {{Waxmann}}, title = {{{ICILS 2018 #Deutschland – Computer- und informationsbezogene Kompetenzen von Schülerinnen und Schülern im zweiten internationalen Vergleich und Kompetenzen im Bereich Computational Thinking}}}, year = {{2019}}, } @misc{28826, author = {{Gerick, Julia and Eickelmann, Birgit and Steglich, Emilie}}, publisher = {{Universität Hamburg/Universität Paderborn}}, title = {{{Kurzzusammenfassung der Ergebnisse der prozessbegleitenden wissenschaftlichen Evaluation der Einführung von LOGINEO NRW an Pilotschulen}}}, year = {{2019}}, } @misc{28828, author = {{Gerick, Julia and Eickelmann, Birgit and Steglich, Emilie}}, publisher = {{Universität Hamburg/Universität Paderborn}}, title = {{{Abschlussbericht zur prozessbegleitenden Evaluation der Einführung von LOGINEO NRW an Pilotschulen}}}, year = {{2019}}, } @inbook{28830, author = {{Eickelmann, Birgit}}, booktitle = {{Steuerung und Qualitätsentwicklung im Fortbildungssystem. Probleme und Befunde – Standardbildung und Lösungsansätze}}, editor = {{Priebe, Botho and Böttcher, Wolfgang and Heinemann, Ulrich and Kubina, Christian}}, pages = {{208--228}}, publisher = {{Klett/Kallmeyer}}, title = {{{Lehrerfortbildung im Kontext der digitalen Transformation: Herausforderungen, Befunde und Perspektiven für eine zukunftsfähige Gestaltung des Bildungssystems}}}, year = {{2019}}, } @article{2916, author = {{Brauer, Sascha}}, issn = {{0304-3975}}, journal = {{Theoretical Computer Science}}, pages = {{88--106}}, publisher = {{Elsevier}}, title = {{{Complexity of single-swap heuristics for metric facility location and related problems}}}, doi = {{10.1016/j.tcs.2018.04.048}}, volume = {{754}}, year = {{2019}}, } @article{27003, author = {{Perrar, Ines and Schmitting, Sarah and Della Corte, Karen W. and Buyken, Anette and Alexy, Ute}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, pages = {{1043--1054}}, title = {{{Age and time trends in sugar intake among children and adolescents: results from the DONALD study}}}, doi = {{10.1007/s00394-019-01965-y}}, year = {{2019}}, } @article{27004, author = {{Wong, Tommy H. T. and Buyken, Anette and Brand-Miller, Jennie C. and Louie, Jimmy Chun Yu}}, issn = {{1436-6207}}, journal = {{European Journal of Nutrition}}, pages = {{2357--2367}}, title = {{{Is there a soft drink vs. alcohol seesaw? A cross-sectional analysis of dietary data in the Australian Health Survey 2011–12}}}, doi = {{10.1007/s00394-019-02084-4}}, year = {{2019}}, } @article{27005, abstract = {{ABSTRACT Background There is controversy on the relevance of dietary sugar intake for cardiometabolic health. Objective The aim of this network meta-analysis (NMA) was to assess how isocaloric substitutions of dietary sugar with other carbohydrates affect cardiometabolic risk factors, comparing different intervention studies. Methods We included randomized controlled trials (RCTs) investigating the isocaloric effect of substituting dietary sugars (fructose, glucose, sucrose) with other sugars or starch on cardiometabolic risk markers, including LDL cholesterol, triacylglycerol (TG), fasting glucose (FG), glycated hemoglobin (HbA1c), insulin resistance (HOMA-IR), uric acid, C-reactive protein (CRP), alanine transaminase (ALT), aspartate transaminase (AST), and liver fat content. To identify the most beneficial intervention for each outcome, random-effects NMA was conducted by calculating pooled mean differences (MDs) with 95% CIs, and by ranking the surface under the cumulative ranking curves (SUCRAs). The certainty of evidence was evaluated using the Confidence In Network Meta-Analysis tool. Results Thirty-eight RCTs, including 1383 participants, were identified. A reduction in LDL-cholesterol concentrations was shown for the exchange of sucrose with starch (MD: −0.23 mmol/L; 95% CI: −0.38, −0.07 mmol/L) or fructose with starch (MD: −0.22 mmol/L; 95% CI: −0.39, −0.05 mmol/L; SUCRAstarch: 98%). FG concentrations were also lower for the exchange of sucrose with starch (MD: −0.14 mmol/L; 95% CI: −0.29, 0.01 mmol/L; SUCRAstarch: 91%). Replacing fructose with an equivalent energy amount of glucose reduced HOMA-IR (MD: −0.36; 95% CI: −0.71, −0.02; SUCRAglucose: 74%) and uric acid (MD: −23.77 µmol/L; 95% CI: −44.21, −3.32 µmol/L; SUCRAglucose: 93%). The certainty of evidence was rated very low to moderate. No significant effects were observed for TG, HbA1c, CRP, ALT, and AST. Conclusions Our findings indicate that substitution of sucrose and fructose with starch yielded lower LDL cholesterol. Insulin resistance and uric acid concentrations were beneficially affected by replacement of fructose with glucose. Our findings are limited by the very low to moderate certainty of evidence. This review was registered at www.crd.york.ac.uk/prospero as CRD42018080297. }}, author = {{Schwingshackl, Lukas and Neuenschwander, Manuela and Hoffmann, Georg and Buyken, Anette and Schlesinger, Sabrina}}, issn = {{0002-9165}}, journal = {{The American Journal of Clinical Nutrition}}, title = {{{Dietary sugars and cardiometabolic risk factors: a network meta-analysis on isocaloric substitution interventions}}}, doi = {{10.1093/ajcn/nqz273}}, year = {{2019}}, } @article{27006, abstract = {{Trend analyses suggest that free sugar (FS) intake—while still exceeding 10%E—has decreased among German children and adolescents since 2005, yet that intakes may shift from sugars naturally occurring in foods to added sugars as children age. Thus, we analysed time and age trends in FS intake (%E) from food groups among 3–18 year-olds (1985–2016) using 10,761 3-day dietary records from 1312 DONALD participants (660 boys, 652 girls) by use of polynomial mixed-effects regression models. Among girls, FS from sugar & sweets decreased from 1985 to 2016 (linear trend p < 0.0001), but not among boys (p > 0.05). In the total sample, FS intake from juices increased until 2000 and decreased since 2005 (linear, quadratic trend p < 0.0001). FS from sugar sweetened beverages (SSB) decreased non-linearly from 1985 to 2016 (girls: linear, quadratic, cubic trend p < 0.0001; boys: linear, quadratic, cubic trend p < 0.02). Younger children consumed more FS from juices than older ones, who had a higher FS intake from SSB. FS intake from sugar & sweets increased until early adolescence and decreased afterwards. Since sugar & sweets represent the main source of FS intake and the source with the least pronounced decline in intake, public health measures should focus on these products.}}, author = {{Perrar, Ines and Schadow, Alena M. and Schmitting, Sarah and Buyken, Anette and Alexy, Ute}}, issn = {{2072-6643}}, journal = {{Nutrients}}, title = {{{Time and Age Trends in Free Sugar Intake from Food Groups among Children and Adolescents between 1985 and 2016}}}, doi = {{10.3390/nu12010020}}, year = {{2019}}, } @article{27023, abstract = {{Abstract Background Blood immunoreactive biomarkers, such as C-reactive protein (CRP), and metabolic abnormalities have been associated with schizophrenia. Studies comprehensively and bidirectionally probing possible causal links between such blood constituents and liability to schizophrenia are lacking. Methods To disentangle putative causal links between CRP blood levels and schizophrenia in both directions, we conducted multiple univariable Mendelian-randomization (MR) analyses, ranging from fixed-effect to inverse variance-weighted (IVW), weighted-median, MR Egger and generalized summary-data-based Mendelian-randomization (GSMR) models. To prioritize metabolic risk factors for schizophrenia, a novel multivariable approach was applied: multivariable Mendelian-randomization–Bayesian model averaging (MR-BMA). Results All forward univariable MR analyses consistently showed that CRP has a protective effect on schizophrenia, whereas reverse MR analyses consistently suggested absent causal effects of schizophrenia liability on CRP blood levels. Using MR-BMA, as the top protective factors for schizophrenia we prioritized leucine and as the prime risk-factor triglycerides in medium very-low-density lipoprotein (VLDL). The five best-performing MR-BMA models provided one additional risk factor: triglycerides in large VLDL; and two additional protective factors: citrate and lactate. Conclusions Our results add to a growing body of literature hinting at metabolic changes—in particular of triglycerides—independently of medication status in schizophrenia. We also highlight the absent effects of genetic liability to schizophrenia on CRP levels. }}, author = {{Lin, Bochao D and Alkema, Anne and Peters, Triinu and Zinkstok, Janneke and Libuda, Lars and Hebebrand, Johannes and Antel, Jochen and Hinney, Anke and Cahn, Wiepke and Adan, Roger and Luykx, Jurjen J}}, issn = {{0300-5771}}, journal = {{International Journal of Epidemiology}}, pages = {{1505--1514}}, title = {{{Assessing causal links between metabolic traits, inflammation and schizophrenia: a univariable and multivariable, bidirectional Mendelian-randomization study}}}, doi = {{10.1093/ije/dyz176}}, year = {{2019}}, } @article{27024, author = {{Kalhoff, Hermann and Mesch, Christina M. and Stimming, Madlen and Israel, Andreas and Spitzer, Christoph and Beganovic, Latifa and Perez, Rocio Estella and Koletzko, Berthold and Warschburger, Petra and Kersting, Mathilde and Libuda, Lars}}, issn = {{0954-3007}}, journal = {{European Journal of Clinical Nutrition}}, pages = {{682--690}}, title = {{{Effects of LC-PUFA supply via complementary food on infant development—a food based intervention (RCT) embedded in a total diet concept}}}, doi = {{10.1038/s41430-019-0491-0}}, year = {{2019}}, } @inproceedings{27101, author = {{Drewel, Marvin and Gausemeier, Jürgen and Vaßholz, Mareen and Homburg, Nils}}, booktitle = {{Symposium für Vorausschau und Technologieplanung, Band 15}}, editor = {{Gausemeier, Jürgen and Bauer, Wilhelm and Dumitrescu, Roman}}, publisher = {{Heinz Nixdorf Institut}}, title = {{{Einstieg in die Plattformökonomie}}}, year = {{2019}}, } @article{27102, abstract = {{Mithilfe von Industrie 4.0-Reifegradmodellen können Unternehmen ihren Leistungsstand im Kontext Industrie 4.0 systematisch erfassen. Mit der Ermittlung des Status Quos ist in aller Regel die Frage verbunden „Wo wollen wir zukünftig hin?“. Vor dem Hintergrund, dass Unternehmen aus unterschiedlichen Gründen nicht immer das grundsätzlich Mögliche einführen können, ist die Beantwortung dieser Frage nicht trivial. Ist sich ein Unternehmen über seine I4.0-Zielposition vermeintlich im Klaren, führen äußere Einflüsse häufig dazu, dass die Zielerreichung erschwert wird, was oftmals eine Anpassung der Zielposition zur Folge hat. Es gilt also, diese Umstände bereits in der Planung zu berücksichtigen. Der vorliegende Beitrag zeigt auf, wie Umfeldentwicklungen bei der Ermittlung einer Erfolg versprechenden I4.0-Zielposition von Unternehmen einbezogen werden können.}}, author = {{Pierenkemper, Christoph and Reinhold, Jannik and Dumitrescu, Roman and Gausemeier, Jürgen}}, journal = {{Industrie 4.0 Management (5)}}, pages = {{30--34}}, title = {{{Erfolg versprechende Industrie 4.0-Zielposition - Ermittlung unter Berücksichtigung zukünftiger Umfeldentwicklungen}}}, year = {{2019}}, } @inproceedings{27103, abstract = {{One of the notable drivers of the fourth industrial revolution is the collection of vast amounts of data along the entire lifecycle of a product. The analysis of product lifecycle data in conjunction with product hypotheses leads to promising potentials in strategic product planning. In this thesis paper, we postulate the need for data-driven product generation and retrofit planning as an interdisciplinary field of research. We define and analyze the key concepts and derive requirements in a structured way. Based on an exhaustive research of existing approaches, we structure open research questions and propose a roadmap in order to shape future research efforts. }}, author = {{Massmann, Melina and Meyer, Maurice and Dumitrescu, Roman and von Enzberg, Sebastian and Frank, Maximilian and Koldewey, Christian and Kühn, Arno and Reinhold, Jannik}}, booktitle = {{Proceedings of the CIRP DESIGN}}, publisher = {{Scientific Technical Committee Design of the International Academy for Production Engineering (CIRP)}}, title = {{{Significance and Challenges of Data-driven Product Generation and Retrofit Planning}}}, year = {{2019}}, } @inproceedings{27104, abstract = {{Today's manufacturing industry is confronted with fundamental changes in value creation. The tension between the two megatrends of digitization and servitization leads to new hybrid market offerings, so-called smart services. Corresponding value networks fundamentally differ from traditional ones. Developing smart services requires new competences in young disciplines, while their provision requires new internal and external organizational structures or processes. To strengthen their competitive position, manufacturing companies need to adapt their value networks. However, the highly complex transformation of value crea-tion especially challenges small and medium-sized companies due to limited competences and resources. They must consider opening their boundaries and collaborating with partners. In this paper, we introduce a basic framework for planning smart services and present a methodology for competence-based plan-ning of value networks for smart services in three phases: Smart service analysis, competence analysis and value creation planning. The methodology is explained by an example from tooling machine industry.}}, author = {{Reinhold, Jannik and Frank, Maximilian and Koldewey, Christian and Dumitrescu, Roman and Gausemeier, Jürgen}}, booktitle = {{Proceedings of the ISPIM Connects}}, publisher = {{International Society for Professional Innovation Management (ISPIM)}}, title = {{{Competence-based Planning of Value Networks for Smart Services}}}, year = {{2019}}, } @inproceedings{27105, author = {{Wortmann, Fabio and Joppen, Robert and Drewel, Marvin and Kühn, Arno and Dumitrescu, Roman}}, booktitle = {{IAMOT 2019 – Proceedings of the 28th International Association for Management of Technology Conference}}, editor = {{Jain, K. and Sangle, S. and Gupta, R. and Persis, J. and Mukundan, R.}}, publisher = {{International Association for Management of Technology (IAMOT)}}, title = {{{Developing and Evaluating Concepts for a Digital Platform}}}, year = {{2019}}, } @inproceedings{27107, abstract = {{Smart Services are digital, IT-based services that are using data of a corresponding physical product, e.g. predictive maintenance or automated reordering of consumables for a production machine. This contribution shows a study about 265 services from the German manufacturing industry. We derive hypothesis for identifying Smart Services as well as eleven variables and their 47 characteristics to systematically describe them. A clustering of the found Smart Services resulted in four distinguishable groups. Furthermore, we show statistics of how companies combine the characteristics of their market offerings. Our findings reflect where the theoretical possibilities were fully met by the implementations of the German manufacturing companies and where the industry is still lagging behind. Finally, we derived six bundles of highly consistent combinations of the characteristics. These bundles can be starting points for developing Smart Services for one’s specific use case.}}, author = {{Frank, Maximilian and Rabe, Martin and Koldewey, Christian and Dumitrescu, Roman and Gausemeier, Jürgen and Hennig-Cardinal von Widdern, Nils and Reinhold, Jannik}}, booktitle = {{Proceedings of the ISPIM connects}}, publisher = {{ International Society for Professional Innovation Management (ISPIM)}}, title = {{{Classification-based Planning of Smart Service Portfolios}}}, year = {{2019}}, } @inbook{27108, author = {{Dangelmaier, Wilhelm and Gausemeier, Jürgen}}, booktitle = {{Intelligente Technische Systeme – Lösungen aus dem Spitzencluster it’s OWL}}, publisher = {{Springer-Verlag GmbH Deutschland}}, title = {{{Intelligente Arbeitsvorbereitung auf Basis virtueller Werkzeugmaschinen}}}, year = {{2019}}, } @book{27109, author = {{Gausemeier, Jürgen and Dumitrescu, Roman and Echterfeld, Julian and Pfänder, Tomas and Steffen, Daniel and Thielemann, Frank}}, publisher = {{Carl Hanser Verlag}}, title = {{{Innovationen für die Märkte von morgen - Strategische Planung von Produkten, Dienstleistungen und Geschäftsmodellen}}}, year = {{2019}}, }