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Field-Effect Transistors Technology
The text provides a comprehensive exploration of the transitions occurring in the field-effect transistor technology, covering the historical evolution, current advancements, and future trends. Features Highlights the significance of field-effect transistors in VLSI and post-complementary metal-oxide-semiconductor design strategies. Discusses design challenges, different modeling aspects of field-effect transistors, and emerging materials in semiconductor design. Showcases the importance of simulation in forecasting device behavior, enhancing performance, and investigating novel device designs. Covers topics such as quantum computing, device simulation process on technology computer-aided design, carbon nanotubes, and organic field-effect transistors. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, materials science, nanoscience, and nanotechnology.
Normalizing Corruption
Accountability is crucial to every successful democratic system. The failure to develop functioning mechanisms of accountability has undermined democratic consolidation worldwide. Reliable tools that hold officials accountable are essential for democratic governance; one of the key threats to accountability comes from corrupt practices, especially when they are integrated—or normalized—in the day-to-day activities of institutions. This book focuses on the experiences of contemporary Ukraine to evaluate the successes and failures of institutions, politicians, political parties, bureaucracies, and civil society. Yet, the topic is directly relevant to countries that have experienced democra...
Lecture Notes in Data Engineering, Computational Intelligence, and Decision-Making, Volume 1
This book addresses contemporary challenges in artificial and computational intelligence, particularly focusing on decision-making systems. It explores current trends in computer science, including the collection, analysis, and processing of information. The advancement of modern information and computer technologies for data analysis and processing in data mining and machine learning is highlighted, showcasing their role in enhancing the efficiency of information processing by reducing time and increasing accuracy. The book comprises 37 scientific papers presenting cutting-edge research in data mining, machine learning, and decision-making. It is categorized into three sections: 1. Analysis and modeling of hybrid systems and processes—14 papers. 2. Theoretical and applied aspects of decision-making systems—7 papers. 3. Data engineering, computational intelligence, and inductive modeling—16 papers. This book is designed for scientists and developers specializing in data mining, machine learning, and decision-making systems.
Marko the Damned
In the haunting and gothic landscape of 1640s Ukraine, Marko the Damned (1879) by Oleksa Storozhenko weaves a chilling tale of rebellion, betrayal, and the supernatural. Set against the backdrop of the kozak struggle for freedom, this gripping novel follows the harrowing journey of Marko, a kozak warrior ensnared by dark forces. As the kozaky rise up against their oppressors, Marko finds himself torn between loyalty to his comrades and a cursed destiny that threatens to consume him. With every step, he battles both the homeland’s enemies and the sinister powers that seek to claim his soul. Storozhenko’s masterful storytelling plunges readers into a world of eerie shadows and moral dilemmas, where the fight for freedom intertwines with a descent into the macabre. Marko the Damned is a captivating exploration of human resilience and the unyielding spirit of the kozaky, destined to leave readers both enthralled and unsettled.
