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Imaginaries Out of Place
“As new geographies of mobility and hybridity make the concept of national identity highly problematic, new questions emerge that challenge and destabilize our conventional ways of thinking. Where do migrants ‘belong’? Are they members of a distant nation, or natives of the places in which they live? What kind of changes does the sense of ‘Turkishness’ undergo, and what does it mean to various Turkish communities living in various parts of the world? Most important of all, can emergent migrant and transnational cinema prevent nationalism’s abuse of locality and intimacy? In Imaginaries Out of Place: Cinema, Transnationalism and Turkey, the editors put together a series of bold and innovative essays that engage the question of transnational cinema in the context of Turkish national identity. This collection is essential reading for those who are interested in transnational and Turkish cinemas as well as those who research issues of migrant cultures, hybrid identities and new forms of belonging.” – Mahmut Mutman, Professor of Cultural Studies, İstanbul Şehir University
Selected Studies on Economics and Finance
Due to increased capital movements and the development of information technologies, economics and finance have recently become an area of interest for everyone. This book provides information on selected topics related to economics and finance for anyone who is interested in economics and finance. In addition, theoretical knowledge is provided for the different subjects in academic studies. For this reason, this study, which consists of 22 chapters, has selected different topics on the agenda.
Osmotically Driven Membrane Processes
Osmotically driven membrane processes (ODMPs) including forward osmosis (FO) and pressure-retarded osmosis (PRO) have attracted increasing attention in fields such as water treatment, desalination, power generation, and life science. In contrast to pressure-driven membrane processes, e.g., reverse osmosis, which typically employs applied high pressure as driving force, ODMPs take advantages of naturally generated osmotic pressure as the sole source of driving force. In light of this, ODMPs possess many advantages over pressure-driven membrane processes. The advantages include low energy consumption, ease of equipment maintenance, low capital investment, high salt rejection, and high water flux. In the past decade, over 300 academic papers on ODMPs have been published in a variety of application fields. The number of such publications is still rapidly growing. The ODMPs' approach, fabrications, recent development and applications in wastewater treatment, power generation, seawater desalination, and gas absorption are presented in this book.
Deep Learning Applications, Volume 2
This book presents selected papers from the 18th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2019). It focuses on deep learning networks and their application in domains such as healthcare, security and threat detection, fault diagnosis and accident analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers, professionals, software engineers in industry, and innovative product developers.
The Political Economy of Regulation in Turkey
The Political Economy of Regulation in Turkey brings together leading international scholars and experts on Turkey and regulatory reform to provide essential information on the recent Turkish experience and its relation to competition policy. After the 1980 liberalization reform, Turkey tried to introduce competition in many industries, but network industries have remained as monopolies. At the end of the 1990s, regulatory reform was initiated and independent regulatory agencies have been established by the government. Comprehensive discussions of these network industries, in particular airlines, electricity, natural gas, telecommunications and environment regulations, are offered. The contr...
Resolving China’s Corporate Debt Problem
Corporate credit growth in China has been excessive in recent years. This credit boom is related to the large increase in investment after the Global Financial Crisis. Investment efficiency has fallen and the financial performance of corporates has deteriorated steadily, affecting asset quality in financial institutions. The corporate debt problem should be addressed urgently with a comprehensive strategy. Key elements should include identifying companies in financial difficulties, proactively recognizing losses in the financial system, burden sharing, corporate restructuring and governance reform, hardening budget constraints, and facilitating market entry. A proactive strategy would trade off short-term economic pain for larger longer-term gain.
Patient Blood Management in Cardiac Surgery
This book provides a multidisciplinary approach to the maintenance of hemostasis and minimisation of blood loss in patients undergoing cardiac surgery. All aspects of patient blood management are covered that may contribute to a reduction in perioperative bleeding and transfusion requirements in cardiac surgery. This is achieved through practical cases and a theoretical background that gives a better understanding of patient hemostasis and the occurrence of bleeding complications. This book is relevant to cardiac surgeons, anesthesiologists, clinical perfusionists, hematologists and intensivists.
Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. The book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.
Recent Advances in Trace Elements
Comprehensive and multidisciplinary presentation of the current trends in trace elements for human, animals, plants, and the environment This reference provides the latest research into the presence, characterization, and applications of trace elements and their role in humans, animals, and plants as well as their use in developing novel, functional feeds, foods, and fertilizers. It takes an interdisciplinary approach to the subject, describing the biological and industrial applications of trace elements. It covers various topics, such as the occurrence, role, and monitoring of trace elements and their characterization, as well as applications from the preliminary research to laboratory tria...
Perspectives on Learning Analytics for Maximizing Student Outcomes
Maximizing student outcomes in education presents a significant challenge, as traditional assessment methods often fall short in providing actionable insights for improvement. Perspectives on Learning Analytics for Maximizing Student Outcomes addresses this challenge by offering a comprehensive solution. Edited by esteemed scholars Gürhan Durak and Serkan Çankaya, this book provides innovative knowledge and practical experiences on emerging technologies and processes in learning analytics. It covers topics such as data collection, visualization, predictive analytics, and ethical considerations, serving as a guide for academic scholars, technology enthusiasts, and educational institutions. ...
