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Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems
This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems. Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-L...
The Color of Desire
The Color of Desire tells the story of how, in the aftermath of gay liberation, race played a crucial role in shaping the trajectory of queer, German politics. Focusing on the Federal Republic of Germany, Christopher Ewing charts both the entrenchment of racisms within white, queer scenes and the formation of new, antiracist movements that contested overlapping marginalizations. Far from being discrete political trajectories, racist and antiracist politics were closely connected, as activists worked across groups to develop their visions for queer politics. Ewing describes not only how AIDS workers, gay tourists, white lesbians, queer immigrants, and Black feminists were connected in unexpec...
Data Science: From Research to Application
This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, “Data Science” was listed as LinkedIn’s fastest-growing job in 2017. This boo...
Iranian Women and Gender in the Iran-Iraq War
Eighteen months after Iran’s Islamic Revolution in 1979, hundreds of thousands of the country’s women participated in the Iran-Iraq War (1980–88) in a variety of capacities. Iran was divided into women of conservative religious backgrounds who supported the revolution and accepted some of the theocratic regime’s depictions of gender roles, and liberal women more active in civil society before the revolution who challenged the state’s male-dominated gender bias. However, both groups were integral to the war effort, serving as journalists, paramedics, combatants, intelligence officers, medical instructors, and propagandists. Behind the frontlines, women were drivers, surgeons, fundra...
Next Generation Sequencing and Sequence Assembly
The goal of this book is to introduce the biological and technical aspects of next generation sequencing methods, as well as algorithms to assemble these sequences into whole genomes. The book is organized into two parts; part 1 introduces NGS methods and part 2 reviews assembly algorithms and gives a good insight to these methods for readers new to the field. Gathering information, about sequencing and assembly methods together, helps both biologists and computer scientists to get a clear idea about the field. Chapters will include information about new sequencing technologies such as ChIp-seq, ChIp-chip, and De Novo sequence assembly.
Discovery-Based Learning in the Life Sciences
For nearly a decade, scientists, educators and policy makers have issued a call to college biology professors to transform undergraduate life sciences education. As a gateway science for many undergraduate students, biology courses are crucial to addressing many of the challenges we face, such as climate change, sustainable food supply and fresh water and emerging public health issues. While canned laboratories and cook-book approaches to college science education do teach students to operate equipment, make accurate measurements and work well with numbers, they do not teach students how to take a scientific approach to an area of interest about the natural world. Science is more than just t...
Data Science
This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, "Data Science" was listed as LinkedIn's fastest-growing job in 2017. This book pres...
AIDS und Migration
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