"A vibrant artistic milieu emerged in the late-nineteenth century Istanbul that was extremely heterogeneous, including Ottoman, Ottoman-Armenian, French, Italian, British, Polish and Ottoman-Greek artists. Roberts analyzes the ways artistic output intersected with the broader political agenda of a modernizing Ottoman state. She draws on extensive original research, bringing together sources in Turkey, England, France, Italy, Armenia, Poland and Denmark. Five chapters each address a particular issue related to transcultural exchange across the east-west divide that is focused on a particular case study of art, artistic patronage, and art exhibitions in nineteenth-century Istanbul"--Provided by publisher.

In 1923 the Turkish government, under its new leader Kemal Ataturk, signed a renegotiated Balkan Wars treaty with the major powers of the day and Greece. This treaty provided for the forced exchange of 1.3 million Christians from Anatolia to Greece, in return for 30,000 Greek Muslims. The mass migration that ensued was a humanitarian catastrophe - of the 1.3 million Christians relocated it is estimated only 150,000 were successfully integrated into the Greek state. Furthermore, because the treaty was ethnicity-blind, tens of thousands of Muslim Greeks (ethnically and linguistically) were forced into Turkey against their will. Both the Greek and Turkish leadership saw this exchange as crucial to the state-strengthening projects both powers were engaged in after the First World War. Here, Emine Bedlek approaches this enormous shift in national thinking through literary texts - addressing the themes of loss, identity, memory and trauma which both populations experienced. The result is a new understanding of the tensions between religious and ethnic identity in modern Turkey.

The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the future movements of stock market indexes and identifying the most advantageous methods that can be used across different stock exchanges. In this context, applications have been conducted on both developed and emerging market stock exchanges. The stock market indexes of developed countries such as NYSE 100, NIKKEI 225, FTSE 100, CAC 40, DAX 30, FTSE MIB, TSX; and the stock market indexes of emerging countries such as SSE, BOVESPA, RTS, NIFTY 50, IDX, IPC, and BIST 100 were selected. The movement directions of these stock market indexes were predicted using decision trees, random forests, k-nearest neighbors, naive Bayes, logistic regression, support vector machines, and artificial neural networks methods. Daily dataset from 01.01.2012 to 31.12.2021, along with technical indicators, were used as input data for analysis. According to the results obtained, it was determined that artificial neural networks were the most effective method during the examined period. Alongside artificial neural networks, logistic regression and support vector machines methods were found to predict the movement direction of all indexes with an accuracy of over 70%. Additionally, it was noted that while artificial neural networks were identified as the best method, they did not necessarily achieve the highest accuracy for all indexes. In this context, it was established that the performance of the examined methods varied among countries and indexes but did not differ based on the development levels of the countries. As a conclusion, artificial neural networks, logistic regression, and support vector machines methods are recommended as the most advantageous approaches for predicting stock market index movements.

Through the ethnography and history of fish production, seafood consumption, state modernizing policies and marine science, this book analyzes the role of local knowledge in the management of marine resources on the Eastern Black Sea coast of Turkey. Fishing, science and other ways of knowing and relating to fish and the sea are analyzed as particular ways of life conditioned by history, ideology and daily practice. The approach adopted here allows for a broader analysis of the role knowledge plays in the management of common pool resources (CPR) than is provided in much of the contemporary CPR debate that tends to have a somewhat narrow focus on institutions and rules. By contrast, the author argues that also local knowledge and the larger historical and ideological context of production, as manifest in state modernization policies and consumption patterns, should be taken into account when trying to explain the current management regime in Turkish Black Sea fisheries.