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James K. Stone's Operation Nightstorm follows an elite special operations unit on a high-stakes mission to dismantle a global terrorist network. As they navigate deep betrayals, cyber warfare, and life-or-death decisions, the team faces their most dangerous adversary yet. With relentless action and gripping suspense, this thriller delivers a pulse-pounding journey through the shadows of war. Will they complete the mission, or will the storm consume them?

The boreal forest of Quebec/Labrador has captivated avid canoeists for generations. The Canadian iron man, A.P. Low (18611942), surveyed the area.

In the shadowy world of covert operations, only the ruthless survive. Sam Shaw, a former Navy SEAL turned lone operative, is a master of stealth, precision, and calculated violence. Tasked with missions that would break ordinary men, Sam uncovers betrayal, faces impossible odds, and confronts a global network of enemies threatening chaos. Armed with cutting-edge gear and an unyielding resolve, he walks the fine line between hero and weapon. Silent Strike: The Operator's Path delivers heart-pounding action, gritty realism, and a relentless protagonist who will stop at nothing to complete the mission. If you're a fan of tactical thrillers, this book will leave you breathless.

“A delectable stew of fantasy, horror, hard science fiction, and alternate history in 27 sumptuous stories and one powerful novella. . . . Stunning” (Publishers Weekly). Space opera. Superheroes. Horror and fairy tales. What if there was a multi-genre story collection available from a Nebula-award winning author? Eric James Stone’s immersive collection, The Humans in the Walls, contains twenty-seven tales of science fiction and fantasy, ranging from hard science fiction to fairy-tale fantasy, from humor to horror. Within these pages you’ll find supernatural beings, uploaded brains, psychic powers, space colonies, alternate timelines, aliens, superheroes, and giant AI starships that pay little attention to The Humans in the Walls. Each story contains special commentary by the author.

Simple solutions to America’s five most pressing public policy issues, from healthcare to education to inequality, from an esteemed business leader. A New York Times Bestseller A Bloomberg Best Book of 2016 Already garnering praise in the academy and on both side of the political aisle for its accessible and hopeful message, James M. Stone’s Five Easy Theses lays out commonsense solutions to our most pressing and seemingly intractable domestic policy problems. In straightforward style, Stone presents five vexing issues and the myths that cloud their resolution, revealing powerful, if controversial, solutions to each. With clear, forward-looking recommendations, he shows how we can: Shore up Social Security Tame the federal deficit Rein in Wall Street Make health care and education more affordable and effective Curb inequalities of wealth and opportunity These vitally important accomplishments are well within our reach, Stone argues, and would only require us to cast off the well-worn partisan straitjacket that has thwarted all attempts to address them in the past. A must-read for anyone regardless of political affiliation who cares about the future of this country, Five Easy Theses shows how America can restore the historical decency and prosperity that made it the envy of the world.

The first collection of stories by Hugo Award nominee/Nebula Award winner Eric James Stone. PRAISE FOR ERIC JAMES STONE: "The author creates a clever plot and characters worth rooting for, all leading to an exciting climax." - Brit Marschalk, Tangent Online "Stone explores many themes: the nature of life, magic versus technology, magic as technology, moral dilemmas, and self-sacrifice being only a few." - Scott M. Sandridge, The Fix "This wonderfully written science fiction story deftly pulls off laugh after laugh while also illuminating critical issues surrounding science, religion, culture, and, most importantly, what exactly is that thing we call truth." - Jason Sanford, storySouth "Eric James Stone manages to combine religion and science in an entertaining, well-plotted tale that doesn't come off as overly preachy." - Rena Hawkins, Tangent Online This collection was originally published by Paper Golem. This reprint edition is from Robot Sorcerer Press.

Master linear regression concepts with Python through hands-on examples and in-depth explanations of statistical methods. Key Features A comprehensive guide to regression analysis blending theory, statistics, and Python examples Advanced regression topics like Bayesian and multivariate methods explained with clarity Real-world examples and Python code walkthroughs for practical understanding of concepts Book DescriptionThis book offers a detailed yet approachable introduction to linear regression, blending mathematical theory with Python-based practical applications. Beginning with fundamentals, it explains the best-fitting line, regression and causation, and statistical measures like variance, correlation, and the coefficient of determination. Clear examples and Python code ensure readers can connect theory to implementation. As the journey continues, readers explore statistical significance through concepts like t-tests, z-tests, and p-values, understanding how to assess slopes, intercepts, and overall model fit. Advanced chapters cover multivariate regression, introducing matrix formulations, the best-fitting plane, and methods to handle multiple variables. Topics such as Bayesian regression, nonlinear models, and weighted regression are explored in depth, with step-by-step coding guides for hands-on practice. The final sections tie together these techniques with maximum likelihood estimation and practical summaries. Appendices provide resources such as matrix tutorials, key equations, and mathematical symbols. Designed for both beginners and professionals, this book ensures a structured learning experience. Basic mathematical knowledge or foundation is recommended.What you will learn Understand the fundamentals of linear regression Calculate the best-fitting line using data Analyze statistical significance in regression Implement Python code for regression models Evaluate the goodness of fit in models Explore multivariate and weighted regression Who this book is for This book is ideal for students, data scientists, and professionals interested in learning linear regression. It caters to both beginners seeking a solid foundation and experienced analysts looking to refine their skills. Basic mathematical knowledge or foundation is recommended; prior programming experience in Python will be beneficial. The hands-on examples and coding exercises make it suitable for anyone eager to apply regression concepts in real-world scenarios.

This book is the new edition of this comprehensive guide to the medical and surgical management of kidney stones. Divided into three main sections, the text begins with discussion on the basic formation of kidney stones, followed by mineral metabolism and diseases that lead to the formation of stones, with the final section describing surgical management techniques. The second edition has been thoroughly revised and expanded with new topics including imaging methods, non invasive surgical techniques, and management in special cases such as pregnancy. This new edition also includes discussion on stones in children. With an internationally recognised author team led by US-based specialists, this 900-page text is highly illustrated with clinical photographs and diagrams. Previous edition published in 1995. Key Points Comprehensive guide to medical and surgical management of kidney stones Fully revised second edition, with many new topics Highly illustrated with clinical photographs and diagrams over 900 pages Internationally recognised, US-based author team

The precipitous cliffs, rolling headlands, and rocky inlets of the Big Sur coast of California prompted Robinson Jeffers to extol their wild beauty throughout his long career as a poet. This extraordinary volume brings together Jeffers’s haunting poetry with magnificent photographs of Big Sur by his friend and neighbor, famed photographer Morley Baer.