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The Year’s Work in Medievalism, 2010
The Year's Work in Medievalism, volume XXV, is based upon but not restricted to the 2010 proceedings of the annual International Conference on Medievalism, organized by the Director of Conferences for the International Society for the Study of Medievalism, Gwendolyn Morgan, and, for 2009, Dr. Pam Clements. The Year's Work in Medievalism also publishes bibliographies, book reviews, and announcements for conferences and other events. Richard Utz, Pi(o)us Medievalism vs. Catholic Modernism: The Case Of George Tyrell Martha Oberle, The Legacy of the Medieval Mendicant Orders Chelsea Gunter, Mysticism and Messianism in the Poetry of Paul Celan William Calin, Postcolonialism and Medievalism: How F...
Introduction to Aircraft Flight Mechanics
"Introduction to Aircraft Flight Mechanics, Second Edition revises and expands this acclaimed, widely adopted textbook. Outstanding for use in undergraduate aeronautical engineering curricula, it is written for those first encountering the topic by clearly explaining the concepts and derivations of equations involved in aircraft flight mechanics. It begins with a review of basic aerodynamics and propulsion and continues through aircraft performance, equations of motion, static stability, linearizing equations of motion, dynamic stability, classical feedback control, stability and control augmentation, Bode, state space, and special topics. The second edition also features insights about the A-10 based upon the author's career experiences with this aircraft. Past winner of the AIAA Summerfield Book Award, this text contributes greatly to learning the fundamental principles of flight mechanics that are a crucial foundation of any aeronautical engineering curricula. It contains both real-world applications and problems. A solutions manual is available to instructors by contacting AIAA"--from back cover.
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers d...
Billboard
In its 114th year, Billboard remains the world's premier weekly music publication and a diverse digital, events, brand, content and data licensing platform. Billboard publishes the most trusted charts and offers unrivaled reporting about the latest music, video, gaming, media, digital and mobile entertainment issues and trends.
Billboard
In its 114th year, Billboard remains the world's premier weekly music publication and a diverse digital, events, brand, content and data licensing platform. Billboard publishes the most trusted charts and offers unrivaled reporting about the latest music, video, gaming, media, digital and mobile entertainment issues and trends.
Multivariate Statistical Machine Learning Methods for Genomic Prediction
This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.
Processing Across Languages
The Research Topic aims to highlight research on the processing of words, sentences and discourses across languages. Articles representing processing in a wide variety of human languages will be featured. Efforts will be made to have articles, representing as many language families as possible. The methodology used to investigate language processing is open. Manuscripts may report studies involving monolinguals or individuals knowing more than one language. Research addressing the extent to which all human languages are processed similarly are welcomed as are studies investigating the extent to which the different types of linguistic knowledge are stored differently in memory.
