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The Legend of Willie, Mickey & the Duke
During the 1950s, they played centerfield in New York ballparks only a few miles apart. The comparisons were inevitable. From Brooklyn soda fountains to Queens street corners to Manhattan boardrooms, the argument raged: who was the greatest—Willie Mays, Mickey Mantle, or Duke Snider? The trajectories of their lives were similar. They were born into the game and taught by their baseball-playing fathers at an early age. All three dreamed of baseball greatness—dreams that came at a cost. When they signed to play professional baseball, they were each hyped to become the greatest players in the game. The pressure to live up to these expectations took a heavy toll on them. The story of Willie, Mickey & the Duke is the story of three superb athletes who became baseball legends--what it did for them and what it did to them.
Systems biology and ecology of microbial mat communities
Microbial mat communities consist of dense populations of microorganisms embedded in exopolymers and/or biomineralized solid phases, and are often found in mm-cm thick assemblages, which can be stratified due to environmental gradients such as light, oxygen or sulfide. Microbial mat communities are commonly observed under extreme environmental conditions, deriving energy primarily from light and/or reduced chemicals to drive autotrophic fixation of carbon dioxide. Microbial mat ecosystems are regarded as living analogues of primordial systems on Earth, and they often form perennial structures with conspicuous stratifications of microbial populations that can be studied in situ under stable c...
Planning Algorithms
Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. This coherent and comprehensive book unifies material from several sources, including robotics, control theory, artificial intelligence, and algorithms. The treatment is centered on robot motion planning, but integrates material on planning in discrete spaces. A major part of the book is devoted to planning under uncertainty, including decision theory, Markov decision processes, and information spaces, which are the 'configuration spaces' of all sensor-based planning problems. The last part of the book delves into planning under differential constraints that arise when automating the motions of virtually any mechanical system. This text and reference is intended for students, engineers, and researchers in robotics, artificial intelligence, and control theory as well as computer graphics, algorithms, and computational biology.
Solving the Part-Time Puzzle
Struggle to fit life in around work? Believe going part-time is a career risk? Think part-time and senior roles don’t mix? Part-time work has an image problem. The common perception is that it equals part-commitment and career decline. The common experience is trying to squeeze a full-time role into part-time hours. And while we view part-time as viable for mid-level roles, it’s widely considered a no-go for senior positions. Challenge your assumption that more hours = more impact. Solving the Part-time Puzzle paves the way for you to gather all pieces and get all parties on board to build a thriving career while working part-time. Recognise how to scope a genuine part-time role. Learn h...
Algorithmic Foundations of Robotics V
Selected contributions to the Workshop WAFR 2002, held December 15-17, 2002, Nice, France. This fifth biannual Workshop on Algorithmic Foundations of Robotics focuses on algorithmic issues related to robotics and automation. The design and analysis of robot algorithms raises fundamental questions in computer science, computational geometry, mechanical modeling, operations research, control theory, and associated fields. The highly selective program highlights significant new results such as algorithmic models and complexity bounds. The validation of algorithms, design concepts, or techniques is the common thread running through this focused collection.
