Canadian Oil Sands Investments: FOCUS on a Controversial Energy Source

Rising energy demand and prices, particularly for oil, has led to a search for solutions to quell this increase. With the advent of the Oil Sands, we have stumbled upon an opportunity to increase Oil supplies and thus stabilize prices and satisfy demand. A large portion of the oil sands are located in Canada and this gives Canada an opportunity to improve its economy. Since the discovery, Canada has seen a vast influx in investment for the purpose of extracting these oil deposits. Using the University of Toronto's FOCUS model, which simulates the Canadian economy, this paper simulates and forecasts current and future trends in the Canadian economy that arise from this increase in investment. This paper breaks down the impacts on the various aspects of the Canadian economy and also analyzes many social issues that arise from the expansion of the oil sands, particularly the environmental issues. By doing so, one can analyze the current policies in place to deal with this expansion and revise them or create new policy which can prove more efficient in dealing with a potentially bubbling economy and the externalities that come from it.Oil Sands; Canada; Macroeconometrics; FOCUS model; Marcoeconomics; Econometrics; Energy; Oil;

Canadian Oil Sands Investments: FOCUS on a Controversial Energy Source

Rising energy demand and prices, particularly for oil, has led to a search for solutions to quell this increase. With the advent of the Oil Sands, we have stumbled upon an opportunity to increase Oil supplies and thus stabilize prices and satisfy demand. A large portion of the oil sands are located in Canada and this gives Canada an opportunity to improve its economy. Since the discovery, Canada has seen a vast influx in investment for the purpose of extracting these oil deposits. Using the University of Toronto's FOCUS model, which simulates the Canadian economy, this paper simulates and forecasts current and future trends in the Canadian economy that arise from this increase in investment. This paper breaks down the impacts on the various aspects of the Canadian economy and also analyzes many social issues that arise from the expansion of the oil sands, particularly the environmental issues. By doing so, one can analyze the current policies in place to deal with this expansion and revise them or create new policy which can prove more efficient in dealing with a potentially bubbling economy and the externalities that come from it

Canadian Oil Sands Investments: FOCUS on a Controversial Energy Source

Rising energy demand and prices, particularly for oil, has led to a search for solutions to quell this increase. With the advent of the Oil Sands, we have stumbled upon an opportunity to increase Oil supplies and thus stabilize prices and satisfy demand. A large portion of the oil sands are located in Canada and this gives Canada an opportunity to improve its economy. Since the discovery, Canada has seen a vast influx in investment for the purpose of extracting these oil deposits. Using the University of Toronto's FOCUS model, which simulates the Canadian economy, this paper simulates and forecasts current and future trends in the Canadian economy that arise from this increase in investment. This paper breaks down the impacts on the various aspects of the Canadian economy and also analyzes many social issues that arise from the expansion of the oil sands, particularly the environmental issues. By doing so, one can analyze the current policies in place to deal with this expansion and revise them or create new policy which can prove more efficient in dealing with a potentially bubbling economy and the externalities that come from it

MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain

This paper presents medBERTde, a pre-trained German BERT model specifically designed for the German medical domain. The model has been trained on a large corpus of 4.7 Million German medical documents and has been shown to achieve new state-of-the-art performance on eight different medical benchmarks covering a wide range of disciplines and medical document types. In addition to evaluating the overall performance of the model, this paper also conducts a more in-depth analysis of its capabilities. We investigate the impact of data deduplication on the model's performance, as well as the potential benefits of using more efficient tokenization methods. Our results indicate that domain-specific models such as medBERTde are particularly useful for longer texts, and that deduplication of training data does not necessarily lead to improved performance. Furthermore, we found that efficient tokenization plays only a minor role in improving model performance, and attribute most of the improved performance to the large amount of training data. To encourage further research, the pre-trained model weights and new benchmarks based on radiological data are made publicly available for use by the scientific community.Comment: Keno K. Bressem and Jens-Michalis Papaioannou and Paul Grundmann contributed equall