Examining how different media news outlets frame the same situation is an important step towards understanding how the world’s media systems behave. This study examines how four influential news media outlets, belonging to different media systems, have framed Sweden's management of the Covid-19 pandemic during two time-periods when the Covid-19 virus surged. These two media systems are state owned news outlets, consisting of RT (previously Russia Today) and Xinhua, and commercial news outlets, through BBC News and the New York Times.ThestudyusesadeductiveFramingTheorymethod,asdefinedbySemetkoand Valkenburg (2000), to understand how the framing of this case differs between the two media systems. Beyond Framing Theory, the theoretical framework is extended by including the Propaganda Model (Durham and Kellner 2012; Fuchs 2018) and Nation Branding (Potter 2009), to further understand the contextual forces that influence the news outlets. The results of the study determines that there are differences in the use of framing between the two media systems as well as where they stem from. This implies that the context in which the outlet finds itself impacts the framing of the produced articles. Overall, Attribution of Responsibility proved to be the most common frame, followed by Conflict framing. The first one wasmostcommoninthestateownedoutlets,whereasConflictwasmostcommonforthe commercial news outlets.

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Orientador: Jairo Osvaldo Cazetta / Resumo: Frente ao constante crescimento populacional mundial e o aumento da demanda por alimentos, atividades agrícolas e de produção animal encontram-se cada vez mais pressionadas a aumentar suas produtividades com o mínimo de impacto ambiental. Por isso o grande interesse em usar os resíduos gerados na produção animal para produzir fertilizantes para a agricultura, tendo em vista as altas concentrações de nutrientes minerais para as plantas e pelo pouco conhecimento sobre as alterações desses resíduos no solo em função do tempo após sua aplicação. O objetivo desse trabalho foi avaliar o efeito da aplicação de um composto orgânico produzido com resíduos animais da aquicultura associado à maravalha de madeira, sobre a fertilidade do solo, respiração basal e as perdas de N na forma de amônia, bem como a nutrição e o crescimento das plantas em função do tempo após a aplicação do composto orgânico no solo. Os experimentos foram realizados em casa de vegetação, no período entre maio a novembro de 2018. No primeiro experimento, foram estudados cinco períodos de incorporação do composto orgânico no solo (0, 30, 60, 90 e 120 dias) a uma dose de 20 t ha-1, além de um tratamento sem adubação. No segundo experimento foi monitorado a respiração basal e a volatilização de amônia do citado solo, com (20 t ha-1) e sem a aplicação do composto, por 17 semanas consecutivas. Os resultados foram submetidos à análise de variância pelo teste F e as médias comparadas. Os resultados revelaram que a aplicaç... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Faced with the constant growth of world population and the increased demand for food, agricultural activities and the animal production industry are increasingly pressure to increase their productivity with a minimum environmental impact.For this is big the interest in use the wastes derivingin animal productions for produce fertilizers for agriculture, given the high concentrations of mineral nutrients for plants and the little knowledge about the changes of these residues in the soil as a function of time after their application. The aim of this study was to evaluate the availability the effect of a fish waste-based organic compostassociate with maravalha of wood, about soil fertility, soil basal respiration and N lossesin ammonia form, as well as plant nutrition and growth as a function of time after application of organic compost to the soil. The experiments were performed in a greenhouse between May and November 2018.In the first experiment, five periods of incorporation of organic compost into the soil (0, 30, 60, 90, 120 days) at a dose of 20 t ha-1, as well as a treatment without fertilization were studied. In the second experiment, the basal respiration and ammonia volatilization of the mentioned soil were monitored with (20 t ha-1) and without the application of compost for 17 consecutive weeks. The results were submitted to a variance analysis by the F test and the means compared. The results revealed that the application of the organic compost increased the organi... (Complete abstract click electronic access below) / Mestre

The Diploma thesis deals with the problem of energy-efficient train control. It presents the basic survey of mathematical models used in the problem of energy-efficient train control, analysis of optimal driving regimes, determining optimal switching times between optimal driving regimes and timetabling of the train. The mathematical formulation of the problem is done using Newton's second law of motion and other known physical laws. To analyse optimal driving regimes and determine the switching times between optimal driving regimes, we apply tools of optimal control theory, particularly Pontryagin's Maximum Principle. The timetabling of the train is discussed from the numerical solution of the settled non-linear programming problem.

This thesis deals with the efficiency improvement proposal of production of engineering component for agricultural machine. Firstly, the current production proces is described including description of the component and determination of manufacture times. The next part contains efficiency improvement proposal of production including determination of manufacture times. The last chapter contains a comparison of both variants in terms of production costs. The final provision summarizes results which were achieved and overall benefits of the thesis.

Economy of three generations of aristocrats from Pernstejn during the 16th century In my work I focus on the management of aristocrats from Pernstejn during the 16th century. On an example of three generations I am trying to show traditional forms of noble business, as well as new attempts for financial gain. I built my work on the data from sixteen urbary of Pernstejn manors reflecting the view of major aristocratic family on their own proactive approach to economic events in estates. Throughout the study I cover the history of aristocrats from Pernstejn from the beginnings to the end of the 16th century. Further I focus on the traditional forms of feudal profits also via more modern ways that started to be used during late medieval and early modern period. After that I describe the urbary and development of their studies. Furthermore, using an extant urbary I describe the economic situation in eight Pernstejn estates. In the final apendix I record all locations that are monitored in the urbary. Overall, I summarize the estates as outdated and not very profitable. According to me the self-interest of Pernstejn family in this area is minimal. Both facts led to financial bankruptcy of the family that during a certain period belonged to a political and property elite of the early modern Czech aristocracy. Key...

Aus der Einleitung: "Aufgrund der wachsenden Produktanforderungen bei gleichzeitig immer kürzeren Entwicklungszeiten gewinnen computergestützte Simulationsverfahren, wie die Finite-Elemente-Analyse (FEA), in der Produktentwicklung zunehmend an Bedeutung [Müller 2009]. Für eine effiziente Nutzung der FEA muss diese jedoch frühzeitig in der Produktentwicklung angewendet werden. Darüber hinaus wird für einen erfolgreichen Einsatz umfangreiches Expertenwissen vorausgesetzt. Dieses Wissen konzentriert sich in den Unternehmen hauptsächlich auf erfahrene Berechnungsingenieure, die aufgrund zeitlicher Engpässe Simulationen meist nur zur Nachrechnung bereits ausdetaillierter Produktmodelle durchführen. Konstruktionsbegleitende Simulationen werden hingegen zu selten eingesetzt oder sind nicht aussagekräftig genug, wenn diese nicht von Berechnungsexperten erstellt werden. Um den steigenden Anforderungen an die Produktentwicklung gerecht zu werden, muss das erforderliche Simulationswissen daher auch weniger erfahrenen Benutzergruppen, wie Konstruktionsingenieuren, zugänglich gemacht werden. Darüber hinaus müssen wiederkehrende Arbeitsschritte für den Simulationsaufbau standardisiert und automatisiert werden, um die Qualität der Berechnungsergebnisse abzusichern und diese Prozesse zu beschleunigen. ..."

The COVID-19 pandemic is a global crisis with every country being affected. It is one of the widely reported crisis over the past few months. Crisis of such degree and range of influence demands a well-informed reporting with an understanding of the possible impact. As the media coverage is largely influenced by journalistic frames and their interpretations, it is highly important and relevant to study this crisis from a framing perspective. Therefore, this research aims to explore the construction of frames, to what extent they exist in the text in comparison to each other, and how they appear across different time periods by studying the online editorial coverage of the COVID-19 crisis published by New York Times. Eight constructive and seven negative frames have been deductively coded to conduct the research through qualitative content analysis with quantitative elements of the editorials published during three specific periods in January, February, and March of 2020. Constructive frames have been coded with the help of constructive journalism which is used as an analytical concept in this research, while negative frames have been retrieved from literature on the framing of previous crises. The analysis suggests that the editorial coverage of the COVID-19 crisis by New York Times is overall constructive but with focus on few dominant constructive and negative frames. Among constructive frames the most dominant frames are ‘solution-oriented’ and ‘mathematical’. Among negative frames the most dominant frames are ‘blame attribution’, frame of ‘consequences’ and ‘conflict’. Findings revealed that blame attribution is dominant as compared to the frame of solidarity and denial is dominant as compared to the frame of concern. Furthermore, the analysis reveals that the construction and appearance of frames change over different time periods with changed intensity level of crisis. This change requires versatile coverage and shift in attention towards newly emerging challenges.

As cities grow, efficient public transport systems are becoming increasingly important. To offer a more efficient service, public transport providers use systems that predict arrival times of buses, trains and similar vehicles, and present this information to the general public. The accuracy and reliability of these predictions are paramount, since many people depend on them, and erroneous predictions reflect badly on the public transport provider. When public transport vehicles move throughout the cities, they create motion patterns, which describe how their positions change over time. This thesis proposes a way of modeling their motion patterns using Gaussian processes, and investigates whether it is possible to predict the arrival times of public transport buses in Linköping based on their motion patterns. The results are evaluated by comparing the accuracy of the model with a simple baseline model and a recurrent neural network (RNN), and the results show that the proposed model achieves superior performance to that of an RNN trained on the same amounts of data, with excellent explainability and quantifiable uncertainty. However, an RNN is capable of training on much more data than the proposed model in the same amount of time, so in a scenario with large amounts of data the RNN outperforms the proposed model.

On-time delivery of supplies to industry is essential because delays can disrupt production schedules. The aim of the proposed application is to predict transit times for outbound logistics thereby allowing suppliers to plan for timely mitigation of risks during shipment planning. The predictive model consists of a classifier that is trained for each specific source-destination pair using historical shipment, weather, and social media data. The model estimates the transit times for future shipments using Support Vector Machine (SVM). These estimates were validated using four case study routes of varying distances in the United States. A predictive model is trained for each route. The results show that the contribution of each input feature to the predictive ability of the model varies for each route. The mean average error (MAE) values of the model vary for each route due to the availability of testing and training historical shipment data as well as the availability of weather and social media data. In addition, it was found that the inclusion of the historical traffic data provided by INRIX™ improves the accuracy of the model. Sample INRIX™ data was available for one of the routes. One of the main limitations of the proposed approach is the availability of historical shipment data and the quality of social media data. However, if the data is available, the proposed methodology can be applied to any supplier with high volume shipments in order to develop a predictive model for outbound transit time delays over any land route.