Complex Presents

In 1985, Nike released Michael Jordan’s first sneaker, the Air Jordan 1, and sneaker culture was born. Now thousands of people wait in line at Supreme, and companies throw millions of dollars at LeBron James to keep him in their marketing plans. The trend that saw steady growth for decades with the emergence of sports, hip-hop, and sportswear advertising has exploded into a phenomenon. And no one has watched that phenomenon more closely than Complex. Sneaker of the Year explores the past 35 years of sneaker culture with the expertise, authority, and passion that only Complex can offer. With vibrant photographs and illustrations throughout, as well as input from some of the sneaker world’s most important voices, this compilation is a must-have for hypebeasts and sneakerheads everywhere.

In 1985, Nike released Michael Jordan's first sneaker, the Air Jordan 1, and sneaker culture was born. Now thousands of people wait in line at Supreme, and companies throw millions of dollars at LeBron James to keep him in their marketing plans. The trend that saw steady growth for decades with the emergence of sports, hip-hop, and sportswear advertising has exploded into a phenomenon. And no one has watched that phenomenon more closely than Complex. Sneaker of the Year explores the past 35 years of sneaker culture with the expertise, authority, and passion that only Complex can offer. With vibrant photographs and illustrations throughout, as well as input from some of the sneaker world's most important voices, this compilation is a must-have for hypebeasts and sneakerheads everywhere.

Data Processing Handbook for Complex Biological Data provides relevant and to the point content for those who need to understand the different types of biological data and the techniques to process and interpret them. The book includes feedback the editor received from students studying at both undergraduate and graduate levels, and from her peers. In order to succeed in data processing for biological data sources, it is necessary to master the type of data and general methods and tools for modern data processing. For instance, many labs follow the path of interdisciplinary studies and get their data validated by several methods. Researchers at those labs may not perform all the techniques themselves, but either in collaboration or through outsourcing, they make use of a range of them, because, in the absence of cross validation using different techniques, the chances for acceptance of an article for publication in high profile journals is weakened. Explains how to interpret enormous amounts of data generated using several experimental approaches in simple terms, thus relating biology and physics at the atomic level Presents sample data files and explains the usage of equations and web servers cited in research articles to extract useful information from their own biological data Discusses, in detail, raw data files, data processing strategies, and the web based sources relevant for data processing

Ten Steps to Complex Learning presents a path from a training problem to a training solution in a way that students, practitioners (both instructional designers and teachers), and researchers can understand and easily use. Practitioners can use this book as a reference guide to support their design of courses, materials, or environments for complex learning. Students in the field of instructional design can use this book to broaden their knowledge of the design of training programs for complex learning. Now fully revised to incorporate the most current research in the field, this second edition of Ten Steps to Complex Learning includes user-friendly examples and case studies, and demonstrates the application of the ten steps in relation to the design of serious games, learning networks, social media, and new developments in educational neuroscience.