This paper examines the long development of precision guided bombs to show that the accuracy attained in Desert Storm was an evolution not a revolution in aerial warfare. This evolution continues and gives offensive airpower the advantage over the defense. Guided bomb development started during World War One with the “aerial torpedo”. During World War Two the German Fritz X and Hs-293 were visually guided bombs and both experienced success against allied shipping. The Army Air Corps also developed a wide variety of TV, heat, radar, and visually guided bombs. The visually guided AZON was successful in Burma and the radar guided Bat was successful against Japanese ships. During the Korean War visually guided RAZON and TARZON bombs had some success. In Vietnam the Paveway I laser-guided bombs and Walleye TV-guided bombs were successful on a much broader scale. Paveway II and III, Walleye II, and GBU-15s were developed and successfully combat tested throughout the 1970s and 1980s. When Desert Storm initiated in 1991 there were very few guided weapons that had not been extensively tested on training ranges and in combat. The precision demonstrated to the World during Desert Storm started evolving when airpower was first envisioned as a new dimension for conducting war, and was far from a revolution. Now, the continued development of imaging infrared, laser radar, synthetic aperture radar, and millimeter wave radar autonomous seekers further increases the flexibility, range, and effectiveness of guided bombs.

How the data revolution is transforming biotech and health care, especially in the wake of COVID-19—and why you can’t afford to let it pass you by We are living through a time when the digitization of health and medicine is becoming a reality, with new abilities to improve outcomes for patients as well as the efficiency and success of the organizations that serve them. In The Patient Equation, Glen de Vries presents the history and current state of life sciences and health care as well as crucial insights and strategies to help scientists, physicians, executives, and patients survive and thrive, with an eye toward how COVID-19 has accelerated the need for change. One of the biggest challenges facing biotech, pharma, and medical device companies today is how to integrate new knowledge, new data, and new technologies to get the right treatments to the right patients at precisely the right times—made even more profound in the midst of a pandemic and in the years to come. Drawing on the fascinating stories of businesses and individuals that are already making inroads—from a fertility-tracking bracelet changing the game for couples looking to get pregnant, to an entrepreneur reinventing the treatment of diabetes, to Medidata's own work bringing clinical trials into the 21st century—de Vries shares the breakthroughs, approaches, and practical business techniques that will allow companies to stay ahead of the curve and deliver solutions faster, cheaper, and more successfully—while still upholding the principles of traditional therapeutic medicine and reflecting the current environment. How new approaches to cancer and rare diseases are leading the way toward precision medicine What data and digital technologies enable in the building of robust, effective disease management platforms Why value-based reimbursement is changing the business of life sciences How the right alignment of incentives will improve outcomes at every stage of the patient journey Whether you're a scientist, physician, or executive, you can't afford to let the moment pass: understand the landscape with this must-read roadmap for success—and see how you can change health care for the better.

This open access book is written by world-renowned experts on radiomolecular precision oncology to celebrate the work, life, principles and ideology of Richard P Baum. It includes commentaries, reviews and some thought provoking novel ideas on radionuclide precision oncology, covering topics such as various aspects of theranostics and molecular radiotherapy like radiolabeled peptides, radiolabeled antibodies, dosimetry, and quality control as well as the diagnosis and treatment of specific tumor types. Featuring contributions by biologists, physicists, chemists, mathematicians, geneticists, and physicians from a range of specialties, this Festschrift is highly interdisciplinary and will be a valuable resource for future precision oncologists.

When Bechara Choucair was a young doctor, he learned an important lesson: treating a patient for hypothermia does little good if she has to spend the next night out in the freezing cold. As health commissioner of Chicago, he was determined to address the societal causes of disease and focus the city’s resources on its most vulnerable populations. That targeted approach has led to dramatic successes, such as lowering rates of smoking, teen pregnancy, breast cancer mortalities, and other serious ills. In Precision Community Health, Choucair shows how those successes can be replicated and expanded around the country. The key is to use advanced technologies to identify which populations are most at risk for specific health threats and avert crises before they begin. Big data makes precision community health possible. But in our increasingly complex world, we also need new strategies for developing effective coalitions, media campaigns, and policies. This book showcases four innovations that move public health departments away from simply dispensing medical care and toward supporting communities to achieve true well-being. The approach Choucair pioneered in Chicago requires broadening our thinking about what constitutes public health. It is not simply about access to a doctor, but access to decent housing, jobs, parks, food, and social support. It also means acknowledging that a one-size-fits-all strategy may exacerbate inequities. By focusing on those most in need, we create an agenda that is simultaneously more impactful and more achievable. The result is a wholesale change in the way public health is practiced and in the well-being of all our communities.

Why the rise of redundant precision in architecture and the accompanying fear of error are key to understanding the discipline's needs, anxieties and desires. When architects draw even brick walls to six decimal places with software designed to cut lenses, it is clear that the logic that once organized relations between precision and material error in construction has unraveled. Precision, already a promiscuous term, seems now to have been uncoupled from its contract with truthfulness. Meanwhile error, and the always-political space of its dissent, has reconfigured itself. In The Architecture of Error Francesca Hughes argues that behind the architect's acute fetishization of redundant precision lies a special fear of physical error. What if we were to consider the pivotal cultural and technological transformations of modernism to have been driven not so much by the causes its narratives declare, she asks, as by an unspoken horror of loss of control over error, material life, and everything that matter stands for? Hughes traces the rising intolerance of material vagaries—from the removal of ornament to digitalized fabrication—that produced the blind rejection of organic materials, the proliferation of material testing, and the rhetorical obstacles that blighted cybernetics. Why is it, she asks, that the more we cornered physical error, the more we feared it? Hughes's analysis of redundant precision exposes an architecture of fear whose politics must be called into question. Proposing error as a new category for architectural thought, Hughes draws on other disciplines and practices that have interrogated precision and failure, citing the work of scientists Nancy Cartwright and Evelyn Fox Keller and visual artists Gordon Matta-Clark, Barbara Hepworth, Rachel Whiteread, and others. These non-architect practitioners, she argues, show that error need not be excluded and precision can be made accountable.

This book tells about target shooting, field competition and bow hunting.

BRIDGE THE GAP BETWEEN NOVICE AND PROFESSIONAL You've completed a basic Python programming tutorial or finished Al Sweigart's bestseller, Automate the Boring Stuff with Python. What's the next step toward becoming a capable, confident software developer? Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you'll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program--not just in Python but in any language. You'll learn: Coding style, and how to use Python's Black auto-formatting tool for cleaner code Common sources of bugs, and how to detect them with static analyzers How to structure the files in your code projects with the Cookiecutter template tool Functional programming techniques like lambda and higher-order functions How to profile the speed of your code with Python's built-in timeit and cProfile modules The computer science behind Big-O algorithm analysis How to make your comments and docstrings informative, and how often to write them How to create classes in object-oriented programming, and why they're used to organize code Toward the end of the book you'll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book's best practices. You'll test your skills by implementing the program yourself. Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer, as you learn to write readable code that's easy to debug and perfectly Pythonic Requirements: Covers Python 3.6 and higher