Austrian Academy of Sciences

Elektronisches Publikationsportal der Österreichischen Akademie der Wissenschaften
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    Inserat 1. GW-Unterricht|GW-Unterricht 158|

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    Heim, Victor Emanuel

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    * 27.7.1878 Wien, † nach 2.6.1942 Klein Trostinetz bei Minsk (Maly Trostinec/BY). Sänger (Bariton), Pädagoge

    „Dass sie nicht weiter in Verfall gereth.“ Zur Umstrukturierung des Dresdner Lazaretts und späteren Krankenhauses im ausgehenden 18. Jahrhundert. Schwerpunkt: Orte des Alters und der Pflege – Hospitäler, Heime und Krankenhäuser

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    Eighteenth-century Dresden must have been an unhealthy place to live, however, there was growing institutional provision for curing the sick and the poor. The three oldest hospitals date back to the Middle Ages and the fifteenth century, first being an institutional place of health care for almost everyone who was in need, then during the sixteenth century was almost exclusively reserved for Dresden citizens, male and female. Albeit under municipal administration, it was the Elector of Saxony, who funded some of these hospitals and this combination caused many troubles and constituted demands on both sides. The lazaret, which was founded for those who suffered from the Black Death, but turned into a melting pot for day labourers, beggars and craftsmen in the sixteenth century, became the center of this emotionally energized town-country relationship. Due to war, hunger crisis and changes of administrative power, the lazaret’s finances rapidly declined, the accommodation of the poor was limited and the building fell into a state of disrepair. On its way to a postulated contemporary modern hospital, the lazaret was completely at the mercy of different interests, which made a real transformation of this institution nearly impossible

    Land Suitability Analysis of Alvar Grassland Vegetation in Estonia Using Random Forest. GI_Forum|GI_Forum 2019, Volume 2|

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    Calcareous alvar grasslands are one of the most species-rich habitats in Estonia. Land-use change and cessation of traditional agricultural practices have led to a decrease of the area of these valuable grasslands during the past century. Therefore, their conservation and restoration are becoming increasingly important. Efforts to restore these habitats have already been made in recent years. Land suitability analysis for potential restoration sites, using the machine learning technique Random Forest (RF), was performed for the first time in this study, which aimed to assess the use of RF for a suitability analysis of alvar grassland. RF predicted 610.91 km2 of areas suitable for restoring alvar grasslands or for creating alvar-like habitats in Estonia. These areas include all existing alvar areas as well an additional 140.91 km2 suitable for establishing new habitat similar to calcareous alvar grasslands. We discuss suitability analysis to help with restoration planning and find it to be a reasonable and efficient tool that has potential to provide relevant information. The quality of the prediction could be improved by including additional data relevant for alvar grasslands, such as soil depth, but such data was unfortunately unavailable

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