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Das Simulationstool 100prosim dient zur Erstellung von Energieszenarien. Es wird in Lehrveranstaltungen auf Bachelor- und Masterniveau sowohl für Präsenzlehre als auch für digitale Lehre eingesetzt. Die Studierenden diskutieren die zukünftige Entwicklung verschiedener Lebensbereiche, in denen Energie eingesetzt wird. Darauf basierend wird mithilfe des Simulationstools der Energiebedarf der Zukunft ermittelt. Dieser soll zu 100 % aus erneuerbaren Energien erzeugt werden. Bei dem notwendigen Ausbau der Erneuerbaren kommt es zu Nutzungskonkurrenzen aufgrund der Flächenbedarfe. Es wird in moderierten Diskussionen ausgehandelt, wie viel Energie auf der einen Seite eingespart und wie viel auf der anderen Seite an Erzeugungskapazität ausgebaut werden kann. Die Evaluation mehrerer Lehrveranstaltungen legt nahe, dass die Erstellung von Energieszenarien das Verständ¬nis für das Gesamtsystem und die gesellschaftlichen Abwägungsprozesse steigert. Eine qualitative Auswertung von transkribierten Diskussionen zeigt auf, welche Einstellungen und Haltungen im Hinblick auf die Transformation des Energiesystems auftreten., Voneinander Lehren lernen; 4

Longitudinal analysis investigates period (P), often as years. Additional scales of time are age (A) and birth cohort (C) Aim of our study was to use ecological APC analysis for women breast cancer incidence and mortality in Germany. Nation-wide new cases and deaths were obtained from Robert Koch Institute and female population from federal statistics, 1999–2008. Data was stratified into ten 5-years age-groups starting 20–24 years, ten birth cohorts starting 1939–43, and two calendar periods 1999–2003 and 2004–2008. Annual incidence and mortality were calculated: cases to 100,000 women per year. Data was analyzed using glm and apc packages of R. Breast cancer incidence and mortality increased with age. Secular rise in breast cancer incidence and decline in mortality was observed for period1999-2008. Breast cancer incidence and mortality declined with cohorts; cohorts 1950s showed highest incidence and mortality. Age-cohort best explained incidence and mortality followed by age-period-cohort with overall declining trends. Declining age-cohort mortality could be probable. Declining age-cohort incidence would require future biological explanations or rendered statistical artefact. Cohorts 1949–1958 could be unique in having highest incidence and mortality in recent time or future period associations could emerge relatively stronger to cohort to provide additional explanation of temporal change over cohorts.

\(\textit {Background:}\) We explore the association between bone T-scores, used in osteoporosis diagnosis, and functional status since we hypothesized that bone health can impact elderly functional status and indirectly independence. \(\textit {Methods:}\) In a cross-sectional study (2005–2006) on community dwelling elderly (> = 75 years) from Herne, Germany we measured bone T-scores with Dual-energy X-ray Absorptiometry, and functional status indexed by five geriatric tests: activities of daily living, instrumental activities of daily living, test of dementia, geriatric depression score and the timed-up-and-go test, and two pooled indexes: raw and standardized. Generalized linear regression was used to determine the relationship between T-scores and functional status. \(\textit {Results:}\) From 3243 addresses, only 632 (19%) completed a clinical visit, of which only 440 (male∶female, 243∶197) could be included in analysis. T-scores (−0.99, 95% confidence interval [CI], −1.1–0.9) predicted activities of daily living (95.3 CI, 94.5–96.2), instrumental activities of daily living (7.3 CI, 94.5–96.2), and timed-up-and-go test (10.7 CI, 10.0–11.3) (P