Schwindel-Gefühle. Die Ökonomisierung von Emotionen und Stadtraum. Ausblicke auf Hamburg und Warschau

Zwischen Ökonomie, Emotionen und Raum besteht ein Dreiecksverhältnis, das sich in den letzten Jahrzehnten zunehmend zugunsten der Ökonomie verschiebt. Das unternehmerische Marketing hat Gefühlsräume entdeckt – entweder indem es neue inszeniert oder bestehende okkupiert. Beide Entwicklungen reagieren auf die Kritik am Städtebau der (Post-)Moderne auf; sie tragen dazu bei, dass die Produktion von Stadt in stärkerem Maße bewusst darauf abzielt, bestimmte Emotionen hervorzurufen. Dieser Wandel wird anhand von Beispielen aus Warschau und Hamburg illustriert

Measuring teacher noticing : A scoping review of standardized instruments

This scoping review provides an overview of standardized instruments used to measure teacher noticing. A systematic literature search identified 37 publications in English-language peer-reviewed journals describing 22 different test instruments. Regarding the underlying conceptualization of noticing, instruments commonly distinguish mental processes (e.g., attending and interpreting) using heterogeneous nomenclatures and focus on various aspects of teaching. Regarding the test design, the instruments are predominantly video-based and vary considerably with respect to measurement approach and test requirements. High test quality was demonstrated for established test instruments. However, on a general level, desiderata became apparent regarding construct and criterion-related validity

Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity

Finding similar patients is a common objective in precision medicine, facilitating treatment outcome assessment and clinical decision support. Choosing widely-available patient features and appropriate mathematical methods for similarity calculations is crucial. International Statistical Classification of Diseases and Related Health Problems (ICD) codes are used worldwide to encode diseases and are available for nearly all patients. Aggregated as sets consisting of primary and secondary diagnoses they can display a degree of comorbidity and reveal comorbidity patterns. It is possible to compute the similarity of patients based on their ICD codes by using semantic similarity algorithms. These algorithms have been traditionally evaluated using a single-term expert rated data set. However, real-word patient data often display varying degrees of documented comorbidities that might impair algorithm performance. To account for this, we present a scale term that considers documented comorbidity-variance. In this work, we compared the performance of 80 combinations of established algorithms in terms of semantic similarity based on ICD-code sets. The sets have been extracted from patients with a C25.X (pancreatic cancer) primary diagnosis and provide a variety of different combinations of ICD-codes. Using our scale term we yielded the best results with a combination of level-based information content, Leacock & Chodorow concept similarity and bipartite graph matching for the set similarities reaching a correlation of 0.75 with our expert's ground truth. Our results highlight the importance of accounting for comorbidity variance while demonstrating how well current semantic similarity algorithms perform.Comment: 11 pages, 6 figures, 1 tabl

Prevalence and determinants of probable depression and anxiety during the COVID-19 pandemic in seven countries:Longitudinal evidence from the European COvid Survey (ECOS)

BACKGROUND: Our aim was to present data on the prevalence of probable depression and anxiety and to determine their correlates during the COVID-19 pandemic in seven European countries using a longitudinal approach. METHODS: Longitudinal data (wave 4 in November 2020: n = 7,115; wave 5 in January 2021: n = 7,068; wave 6 in April 2021: n = 7,204) were taken from the European COvid Survey (ECOS), a representative sample of non-institutionalized inhabitants from Germany, United Kingdom, Denmark, Netherlands, France, Portugal and Italy aged 18+. Probable depression and anxiety were quantified using the established and validated PHQ-4 (2-item depression scale, PHQ-2 / 2-item anxiety scale, GAD-2). RESULTS: In wave 4 (wave 5; wave 6), 26.6% (25.5%; 23.8%) of all respondents had probable depression and 25.7% (23.6%; 22.1%) had probable anxiety. Prevalence rates for probable depression and probable anxiety differed significantly between countries. Among all countries and waves, particularly high prevalence rates were found among individuals aged 18 to 29 years. Longitudinal analysis showed that the likelihood of probable depression was positively associated with increasing age, great income difficulties and lower health-related quality of life. The likelihood of probable anxiety was positively associated with income difficulties, and lower health-related quality of life. LIMITATIONS: Screening tool was used to quantify the outcomes. CONCLUSION: The magnitude of probable depression and anxiety during the COVID-19 pandemic in European countries was highlighted. Moreover, determining the factors associated with probable depression or anxiety (e.g., income difficulties, worse health-related quality of life) may assist in identifying individuals at increased risk

StartClim2004F: Continuation and further development of the MEDEA event data base (Heat and Drought and their Impacts in Austria). Final Report - StartClim2004, p.24-27

In 2002, Austrian climatologists founded the research platform AustroClim. Its goal is to meet the challenges that climate change poses to science and to support the necessary decisions that need to be made in the political and economic sectors and by each and every individual. This is to be achieved in an interdisciplinary approach that will provide the basis for the decision- making process. In light of AustroClim’s call for a coordinated climatological research effort, and based on an initiative of the Austrian Federal Minister of the Environment, six funding partners1 commissioned the Start Project Climate Protection: „StartClim – First Analyses of Extreme Weather Events and their Impact in Austria“ (StartClim2003). The BOKU - University of Natural Resources and Applied Life Sciences as representative of the AustroClim Research Platform agreed to act as the project leader for StartClim. The administrative tasks were assumed by the Federal Environment Agency. StartClim continued in 2004 by sponsoring research on “heat and drought” and is now set up as a program initiating research in climate change topics not yet established in Austria. StartClim research projects are intended to subsequently be carried farther in the framework of normal research funding or as studies commissioned by interested stakeholders