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Sonstige beteiligte Institutionen
This thesis provides an edition and commentary of a manuscript discovered by Michael Stolberg in the archives of the central library in Zurich under the title “Mon aprendisage à l'Hôtel Dieu de Paris 1704.” (My apprenticeship at the Hôtel-Dieu de Paris 1704). The manuscript contains records of a midwifery student at the Hôtel-Dieu de Paris, an old hospital famous among others for its education in midwifery in the maternity ward. We read about managing different births, recipes for common remedies, direct questions answered by the maîtresse sage-femme, the leading midwife at the Hôtel-Dieu de Paris and more.
Although other accounts exist of the maternity ward at the Hôtel-Dieu de Paris, \(Mon\) \(Aprendisage\) is the first and only account from a midwife’s perspective that gives more than just instructions on obstetrical techniques. It takes us into the day-to-day experience of a woman as she progressed through her training at the Hôtel-Dieu.
The current study presents a new a group of Demotic ostraca in the belongings of the Cairo Museum. A large part of this group stem from Medinet Habu in the western bank of modern Luxor in Upper Egypt and was discovered in the beginning of the thirties of the last century by the Chicago Oriental Institute (recently renamed as Institute for the Study of Ancient Cultures ‘ISAC’). A small portion of the collection under consideration come from other Upper Egyptian provenances including Gebelein, Edfu, Kom Ombo, and possibly elsewhere in Thebes. The main goal of the present dissertation is to decipher, translate, and provide a philological, paleographical, and cultural analysis of the group of texts in question. The results of this study are spread over two main parts, the first of which is dedicated to the main and largest part of the collection, i.e. ostraca from Medinet Habu, while the second is concerned with ostraca from other places. The first part comprises of five sections beginning with receipts of money and in-kind payments including some receipts for the payments of the different capitation charges in the Ptolemaic and Roman Periods, a few for land-related payments, as well as others related to different Ptolemaic monopolies or trades such as a receipt for the price of oil, one for the linen tax, in addition to a unique receipt for the rarely attested fish tax. The second section includes accounts and lists of different kinds be it monetary, in-kind, agriculture, or any other type of lists or accounts that record different everyday transactions. The following section presents a relatively different type of lists, namely lists of personal names. The fourth section incorporates a variety of texts of different concerns, e.g. texts of religious nature, letters, temples oaths, or other private documents. Unidentified texts occupy the fifth and final section of the first part. The second part of the study, which comprises texts that originate from different Upper Egyptian localities, includes three sections, i.e. receipts, accounts, and lists of names.
Regional climate models (RCMs) are tools used to project future climate change at a regional scale. Despite their high horizontal resolution, RCMs are characterized by systematic biases relative to observations, which can result in unrealistic interpretations of future climate change signals. On the other hand, bias correction (BC) is a popular statistical post-processing technique applied to improve the usability of output from climate models. Like every other statistical technique, BC has its strengths and weaknesses. Hence, within the regional context of Germany, and for temperature and precipitation, this study is dedicated to the assessment of the impact of different BC techniques on the RCM output. The focuses are on the impact of BC on the RCM’s statistical characterization, and physical consistency defined as the spatiotemporal consistency between the bias-corrected variable and the simulated physical mechanisms governing the variable, as well as the correlations between the bias-corrected variable and other (simulated) climate variables. Five BC techniques were applied in adjusting the systematic biases in temperature and precipitation RCM outputs. The BC techniques are linear scaling, empirical quantile mapping, univariate quantile delta mapping, multivariate quantile delta mapping that considers inter-site dependencies, and multivariate quantile delta mapping that considers inter-variable dependencies (MBCn). The results show that each BC technique adds value in reducing the biases in the statistics of the RCM output, though the added value depends on several factors such as the temporal resolution of the data, choice of RCM, climate variable, region, and the metric used in evaluating the BC technique. Further, the raw RCMs reproduced portions of the observed modes of atmospheric circulation in Western Europe, and the observed temperature, and precipitation meteorological patterns in Germany. After the BC, generally, the spatiotemporal configurations of the simulated meteorological patterns as well as the governing large-scale mechanisms were reproduced.
However, at a more localized spatial scale for the individual meteorological patterns, the BC changed the simulated co-variability of some grids, especially for precipitation. Concerning the co-variability among the variables, a physically interpretable positive correlation was found between temperature and precipitation during boreal winter in both models and observations. For most grid boxes in the study domain and on average, the BC techniques that do not adjust inter-variable dependency did not notably change the simulated correlations between the climate variables. However, depending on the grid box, the (univariate) BC techniques tend to degrade the simulated temporal correlations between temperature and precipitation. Further, MBCn which adjusts biases in inter-variable dependency has the skill to improve the correlations between the simulated variables towards observations.
This dissertation presents a comprehensive exploration of the bamboo branch song (zhuzhici 竹枝詞), a classical Chinese poetry genre. One of the defining features of the bamboo branch song genre is its emphasis on all aspects of local culture. As a result, these poems typically have a specific focus on a particular place. This dissertation takes the bamboo branch songs of Shandong Province as its primary subject. The dissertation is divided into two parts. The first section focuses on a cultural study of the bamboo branch song genre. By examining the genre, this dissertation concludes that the bamboo branch song is a genre of vernacular poetry in imperial China. The language has a vernacular style, and the content has a clear focus on local affairs. The subsequent section delves into the Bamboo Branch Songs of Shandong Province, with almost 2,000 poems collected from different sources. From everyday routines to customs, travel culture, and historical episodes, the poems cover a wide range of topics, offering a detailed glimpse into the various facets of the region's society. Women play a significant role in the poems about social life in Bamboo Branch Songs of Shandong Province. They were often the central figures in the ceremonies of festivals, and their behaviour was given special attention. The bamboo branch song genre has an internal character as a form of travel writing. The poems were usually written by authors who had made observations on their journeys. This dissertation delves into the travel culture of the capital Ji'nan, through the lens of bamboo branch songs, providing valuable insights into the region. Another common motif of bamboo branch songs is history. Some nostalgic poems deal with local historical sites, events, legends and personalities. This dissertation finds that these poems contain unique historical information with a microcosmic and individual perspective.
This dissertation explores the local gazetteers of West Lake that were compiled by literati of the Ming dynasty. In 1547, the first West Lake gazetteer was published by the local literatus of Hangzhou, Tian Rucheng 田汝成. In the late sixteenth and early seventeenth centuries, accompanying the huge enthusiasm for West Lake and the flourishing of its tourism, the production of West Lake gazetteers reached its peak. This trend, however, was reduced by the turmoils in the last years of the Ming and the dynastic transition, a period when West Lake had also experienced destruction. Nevertheless, the practice was resumed in the first decades of the Qing dynasty by some literati who had survived the disasters. One prominent work of this period was compiled by the Ming loyalist and “remnant subject” Zhang Dai 張岱, who wrote an author’s preface in 1671. This dissertation can be divided into two parts. The first part focuses on the editorial principles of compilers, e.g., which materials are included, how they are organized and presented. It explores various possible intentions of the compilers, such as scholarly and documentary, practical and oriented toward tour-guiding, didactic and educational, and personal and nostalgic ones. The second part focuses on some of the perceptions, attitudes, and values of literati focusing on West Lake. The discourses analyzed in this part include West Lake as a hybrid between metropolitan city and sheer wilderness, as a national symbol and object of nostalgia of the lost dynasty, and as a place of pleasure-seeking and indulgence. While a discourse often had a long tradition and historical development, the emphasis of the study is on the late sixteenth and early seventeenth centuries, i.e., the late Ming.
The Amduat is one of the most important Netherworld Books which was recorded in various kinds of Ancient Egyptian sources since the beginning of the 18th dynasty, especially the walls of the royal tombs. The main theme of the Amduat is the journey of the sun god through the underworld where the solar bark and its crew is the central scene of the journey. The study focuses on finding the reasons of choosing the crew’s members who manage the sun bark’s journey in the Amduat. It also aims at illustrating the functions and responsibilities of each crew member. Following a historical approach, the study analyzes the Pyramid Texts and Coffin Texts as the most important documents before the New Kingdom, and proceeding to the inscriptions and writings of the monuments which contain portrayals and inscriptions of the Amduat in the New Kingdom. Furthermore, it sheds some light on the solar cycle’s main features and primary aspects, and tries to scrutinize the date, meaning, and symbolisms of the Amduat and its indications in the earlier sources.
The expansion of renewable energies is being driven by the gradual phaseout of fossil fuels in order to reduce greenhouse gas emissions, the steadily increasing demand for energy and, more recently, by geopolitical events. The offshore wind energy sector is on the verge of a massive expansion in Europe, the United Kingdom, China, but also in the USA, South Korea and Vietnam. Accordingly, the largest marine infrastructure projects to date will be carried out in the upcoming decades, with thousands of offshore wind turbines being installed. In order to accompany this process globally and to provide a database for research, development and monitoring, this dissertation presents a deep learning-based approach for object detection that enables the derivation of spatiotemporal developments of offshore wind energy infrastructures from satellite-based radar data of the Sentinel-1 mission.
For training the deep learning models for offshore wind energy infrastructure detection, an approach is presented that makes it possible to synthetically generate remote sensing data and the necessary annotation for the supervised deep learning process. In this synthetic data generation process, expert knowledge about image content and sensor acquisition techniques is made machine-readable. Finally, extensive and highly variable training data sets are generated from this knowledge representation, with which deep learning models can learn to detect objects in real-world satellite data.
The method for the synthetic generation of training data based on expert knowledge offers great potential for deep learning in Earth observation. Applications of deep learning based methods can be developed and tested faster with this procedure. Furthermore, the synthetically generated and thus controllable training data offer the possibility to interpret the learning process of the optimised deep learning models.
The method developed in this dissertation to create synthetic remote sensing training data was finally used to optimise deep learning models for the global detection of offshore wind energy infrastructure. For this purpose, images of the entire global coastline from ESA's Sentinel-1 radar mission were evaluated. The derived data set includes over 9,941 objects, which distinguish offshore wind turbines, transformer stations and offshore wind energy infrastructures under construction from each other. In addition to this spatial detection, a quarterly time series from July 2016 to June 2021 was derived for all objects. This time series reveals the start of construction, the construction phase and the time of completion with subsequent operation for each object.
The derived offshore wind energy infrastructure data set provides the basis for an analysis of the development of the offshore wind energy sector from July 2016 to June 2021. For this analysis, further attributes of the detected offshore wind turbines were derived. The most important of these are the height and installed capacity of a turbine. The turbine height was calculated by a radargrammetric analysis of the previously detected Sentinel-1 signal and then used to statistically model the installed capacity. The results show that in June 2021, 8,885 offshore wind turbines with a total capacity of 40.6 GW were installed worldwide. The largest installed capacities are in the EU (15.2 GW), China (14.1 GW) and the United Kingdom (10.7 GW). From July 2016 to June 2021, China has expanded 13 GW of offshore wind energy infrastructure. The EU has installed 8 GW and the UK 5.8 GW of offshore wind energy infrastructure in the same period. This temporal analysis shows that China was the main driver of the expansion of the offshore wind energy sector in the period under investigation.
The derived data set for the description of the offshore wind energy sector was made publicly available. It is thus freely accessible to all decision-makers and stakeholders involved in the development of offshore wind energy projects. Especially in the scientific context, it serves as a database that enables a wide range of investigations. Research questions regarding offshore wind turbines themselves as well as the influence of the expansion in the coming decades can be investigated. This supports the imminent and urgently needed expansion of offshore wind energy in order to promote sustainable expansion in addition to the expansion targets that have been set.
This project explores Tan Yunxian's journey of becoming a female doctor in the Ming dynasty. Among all the surviving Ming medical books, Tan Yunxian's medical case book is the only one that was written by a woman. It seems natural, considering she had both scholar-official and medical family backgrounds. Yet, social expectations consider it more suitable for a lady to remain in the household, and not treat patients outside. To legitimize Tan Yunxian's pursuit of a medical career, she applied several strategies to resolve potential criticism toward her and her family. These strategies are analyzed through her autobiographical preface in her medical case book. The project also explores Ming male literatis' perspectives toward Tan Yunxian, the factors that contributed to the preservation and publication of her medical case book, and examined her medical cases under the social-historical and micro-history contexts.
The Princes’ War in South Germany (1458-1463) was the biggest military collision in the German lands in the middle of the fifteenth century. The most prominent princes of southern Germany participated in this struggle.
Due to its significant scope, this conflict provides a valuable case study for achieving a better understanding of the conditions at the heart of the Holy Roman Empire at the sunset of the Middle Ages. The purpose of this study was to fill an existing gap in the modern research literature and provide a comprehensive up-to date monograph on the subject.
The study was realized mainly on the basis of archival work and primary sources. Thousands of letters and documents exchanged between the princes, their advisors and the city representatives were carefully studied and analysed. Extensive use of printed sources as well as scientific literature also greatly facilitated this research.
The first part of the dissertation provides a detailed description of the war itself and the events that led to it. In the initial phase of the struggle, Albrecht Achilles used his position as the imperial captain to advance his own interests. His actions enraged both Duke Ludwig and Elector Friedrich and made the war unavoidable. For more than two years two major coalitions of princes exchanged blows but as the dust settled the status quo ante bellum was restored in the eastern theatre of actions, while at the western front Elector Friedrich forced each of his opponents to make serious concessions.
The second part of the dissertation is devoted to honor and reputation. It explores how these two constituents affected the actions and decision-making of the princes. The lack of a powerful arbiter allowed each of the princes to interpret the meaning of “right” and “justice” as most suited him, although they hardly intentionally misused these terms. Thus, more often than not, the important actors seemed to believe in the appropriateness of their deeds. Nevertheless, despite frequent emotional response, in the competition between emotions and cold calculation the latter usually prevailed.
The conflict showed the confines of each of its major participants and the modus operandi of the Empire that prevented change and was tuned to keep the old order of things.
Worldwide, cold regions are undergoing significant alterations due to climate change. Snow, the most widely distributed cold region component, is highly sensitive to climate change. At the same time, snow itself profoundly impacts the Earth’s energy budget, biodiversity, and natural hazards, as well as hydropower management, freshwater management, and winter tourism/sports. Large parts of the cold regions in Europe are mountain areas, which are densely populated because of the various ecosystem services and socioeconomic well-being in mountains. At present, severe consequences caused by climate change have been observed in European mountains and their surrounding areas. Yet, large knowledge gaps hinder the development of effective regional and local adaptation strategies. Long-term and evidence-based regional studies are urgently needed to enhance the comprehension of regional responses to climate change.
Earth Observation (EO) provides long-term consistent records of the Earth’s surface. It is a great alternative and/or supplement to conventional in-situ measurements which are usually time-consuming, cost-intensive and logistically demanding, particularly for the poor accessibility of cold regions. With the assistance of EO, land surface dynamics in cold regions can be observed in an objective, repeated, synoptic and consistent way. Thanks to free and open data policies, long-term archives such as Landsat Archive and Sentinel Archive can be accessed free-of-charge. The high- to medium-resolution remote sensing imagery from these freely accessible archives gives EO-based time series datasets the capability to depict snow dynamics in European mountains from the 1980s to the present. In order to compile such a dataset, it is necessary to investigate the spatiotemporal availability of EO data, and develop a spatiotemporally transferable framework from which one can investigate snow dynamics.
Among the available EO image archives, the Landsat Archive has the longest uninterrupted records of the Earth’s land surface. Furthermore, its 30 m spatial resolution fulfils the requirements for snow monitoring in complex terrains. Landsat data can yield a time series of snow dynamics in mountainous areas from 1984 to the present. However, severe Landsat data gaps have occurred across certain regions of Europe. Moreover, the Landsat Level 1 Precision and Terrain (L1TP) data is scarcer (up to 50% less) in high-latitude mountainous areas than in low-latitude mountainous areas. Given the abovementioned facts, the Regional Snowline Elevation (RSE) is selected to characterize the snow dynamics in mountainous areas, as it can handle cloud obstructions in the optical images. In this thesis, I present a five-step framework to derive and densify RSE time series in European mountains, i.e. (1) pre-processing, (2) snow detection, (3) RSE retrieval, (4) time series densification, and (5) Regional Snowline Retreat Curve (RSRC) production.
The results of the intra-annual RSE variations show a uniquely high variation in the beginning of the ablation seasons in the Alpine catchment Tagliamento, mainly toward higher elevation. As for inter-annual variations of RSE, median RSE increases in all selected catchments, with an average speed of around 4.66 m ∙ a−1 (median) and 5.87 m ∙ a−1 (at the beginning of the ablation season). The fastest significant retreat is observed in the catchment Drac (10.66 m ∙ a−1, at the beginning of the ablation season), and the slowest significant retreat is observed in the catchment Uzh (1.74 m ∙ a−1, at the beginning of the ablation season). The increase of RSEs at the beginning of the ablation season is faster than the median RSEs, whose average difference is nearly 1.21 m ∙ a−1, particularly in the catchment Drac (3.72 m ∙ a−1). The results of the RSRCs show a significant rise in RSEs at the beginning of the ablation season, except for the Alpine catchment Alpenrhein and Var, and the Pyrenean catchment Ariege. It indicates that 11.8 and 3.97 degrees Celsius less per year are needed for the regional snowlines to reach the middle point of the RSRC in the Tagliamento and Tysa, respectively. The variation of air temperature is regarded as an example of a potential climate driver in this thesis. The retrieved monthly mean RSEs are highly correlated (mean correlation coefficient "R" ̅ = 0.7) with the monthly temperature anomalies, which are more significant in months with extremely low/high temperature. Another case study that investigates the correlation between river discharges and RSEs is carried out to demonstrate the potential consequences of the derived snowline dynamics. The correlation analysis shows a good correlation between river discharges and RSEs (correlation coefficient, R=0.52).
In this thesis, the developed framework signifies a better understanding of the snow dynamics in mountain areas, as well as their potential triggers and consequences. Nonetheless, an urgent need persists for: (1) validation data to assess long-term snow-related observations based on high-resolution EO data; (2) further studies to reveal interactions between snow and its ambient environment; and (3) regional and local adaptation-strategies coping with climate change. Further studies exploring the above-mentioned research gaps are urgently needed in the future.