Surviral

The deadliest flu season in a hundred years is about to turn a whole lot deadlier. When an accident at a famous medical research facility lets a mutated avian flu strain out, a nightmare scenario unfolds. Before authorities can react, millions are infected—and that’s just the beginning. The mortality rate exceeds 80%. Leaders and elected officials soon learn the man-manipulated virus respects neither rank nor stature. The resulting chain reaction leads to a collapse of modern society—even in Colorado, where no cases of the killer strain have yet appeared. Clint Stonebreaker, a happily-married software engineer living in Denver, doesn’t like watching the news. He especially doesn’t let Jake, his wacky doomsday-prepping brother, watch it when he visits. But when chaos goes viral through the entire country, Clint and his wife Jenny are forced to acknowledge reality. They find themselves hitting the road with their gun-enthusiast neighbor to escape the deteriorating city. Their goal? Reaching Clint’s hunting cabin in Southeastern Colorado and trying to make a homestead of it. They don’t get far before running into a gauntlet of obstacles. Colorado seems to have become a giant sociological experiment, with dire consequences for making the wrong decisions. The spirit of American resolve is pitted against the ugly realty of criminal opportunism in every direction they turn. Ironically, Clint isn’t sure which is worse: being forced to survive in the midst of civil unrest, or knowing he’ll have to admit to Jake that he was right. Assuming he can find him...

Malcolm Carter and Ryan Boone, two New York City friends whose lives have been dominated by the financial markets, are about to exchange their charts and reports for guns and survival supplies—but not because they want to. When China and Japan decide it’s time to dump U.S. Treasury Bonds, an economic nightmare plays out in America. The Federal Reserve watches helplessly as the dollar is decimated and the resulting food shortage spreads lawlessness across the land like a virus. Malcolm is a successful day trader who always needs to make one more score before he’ll listen to Ryan and diversify some of his assets into real estate or gold. He figures an impressively-larger bank account might be the only way he can lure his Secret Service agent ex-wife back. Malcolm finally hits it big by aggressively shorting bonds when the market crashes, but waits too long to invest in tangibles. All that newfound money suddenly won’t by him a bar of gold, a pint of beer, or a minute of Hannah’s attention—especially when she’s in the field chasing down a former counterfeiting gang. As luck would have it, Ryan turns out to be a closet doomsday prepper. The two of them attempt to escape the chaotic Big Apple and reach Ryan’s land in West Virginia, supplied only by the contents of Ryan’s bug-out bag. But it’s not going to be an easy journey. Traveling has become difficult and dangerous. Malcolm learns he must redirect the same tenacity which helped him beat the markets towards staying alive on the road ...and, hopefully, finding Hannah.

Eighty days post-Helios and things are looking hopeful. If you are a ruthless gangster trying to take control of the gasoline trade, things are looking hopeful. If you seek transportation and don’t mind traveling in an antique coal-burning choo-choo or a creaking World War 2 plane, things are looking hopeful. If you are a former Supreme Court clerk and want your old job back in the first city to boast a rebuilt power-grid, things are looking hopeful. If you are Joel McConnell and want to surprise your girlfriend with a marriage proposal, complete with an impromptu honeymoon which happens to coincide with a speculative business opportunity, things are also looking hopeful. But only if you don’t understand the cesspool of corruption you are about to be coerced into cooperating with. And if you are one of the ruthless gangsters who has decided Joel is a thorn in your side which needs to be removed, things are also looking hopeful—especially when he stumbles right into your trap.

Digital technologies have become an integral part of all our lives, and the area of healthcare is no exception. This book presents the proceedings of the 17th annual conference on Health Informatics meets Digital Health (dHealth 2023), held in Vienna, Austria, on 16 and 17 May 2023. The conference series provides a forum for researchers and decision makers, health professionals, healthcare providers, and government and industry representatives to present and discuss innovative digital-health solutions with the aim of improving the quality and efficiency of healthcare using digital technologies. The ‘d’ in dHealth encompasses concepts such as digitalization, datafication and data-driven decision making, as well as predictive modeling and “deep” health for better patient outcomes and sustainability in healthcare, and the 47 papers included here offer an insight into state-of-the-art aspects of dHealth, including the design and evaluation of user interfaces, patient-centered solutions, electronic health/medical/patient records, telemedical approaches and solutions, predictive models, machine learning in healthcare and biomedical data analytics. The book provides an interdisciplinary overview of current research activities in digital health, and will be of interest to all those working in the field.

Homeland Security Agent Harlan Welk is a man used to responding to our nation’s most covert domestic threats. But even he must admit no one saw this one coming. When a new type of terrorist attack targets a growing psychological weakness among the American population, our enemies are revealed as becoming ever-more resourceful. Harlan is visiting his conspiracy-plagued cousin Avery in Houston during a heightened period of civil unrest. Just as the frazzled nerves of law enforcement and protesters come to a head, twelve African-American teenagers simultaneously commit “suicide by cop” in the twelve U.S. cities most vulnerable to racial tension. None of the victims are found to be in possession of a real weapon. As a result, mass rioting erupts across our once-great country, which intensifies until our society can no longer function. From information acquired in an unexpected romance, Harlan believes he can gather the evidence to fully expose the plot as having come from foreign-based terrorists—and by so doing, possibly reunite America under the cause of a common enemy. But he must get to Memphis so he can interrogate the lone surviving terrorist. Traveling is now difficult. He finds himself bugging out of the city with his cousin’s family, facing a treacherous and uncertain path. Avery’s outright distrust of all things government only adds to their plight. Harlan discovers he must not only survive the hazards of criminal opportunism on the road, but the contagion of civil strife within his own family. And time is not on his side...

A provocative and thoroughly researched inquiry into what we find beautiful and why, skewering the myth that the pursuit of beauty is a learned behavior. In Survival of the Prettiest, Nancy Etcoff, a faculty member at Harvard Medical School and a practicing psychologist at Massachusetts General Hospital, argues that beauty is neither a cultural construction, an invention of the fashion industry, nor a backlash against feminism—it’s in our biology. Beauty, she explains, is an essential and ineradicable part of human nature that is revered and ferociously pursued in nearly every civilization—and for good reason. Those features to which we are most attracted are often signals of fertility and fecundity. When seen in the context of a Darwinian struggle for survival, our sometimes extreme attempts to attain beauty—both to become beautiful ourselves and to acquire an attractive partner—suddenly become much more understandable. Moreover, if we understand how the desire for beauty is innate, then we can begin to work in our own interests, and not just the interests of our genetic tendencies.

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to address particular situations often encountered in practice. This book aims to gather in a single reference the most commonly used extensions, such as frailty models (in case of unobserved heterogeneity or clustered data), cure models (when a fraction of the population will not experience the event of interest), competing risk models (in case of different types of event), and joint survival models for a time-to-event endpoint and a longitudinal outcome. Features Presents state-of-the art approaches for different advanced survival models including frailty models, cure models, competing risk models and joint models for a longitudinal and a survival outcome Uses consistent notation throughout the book for the different techniques presented Explains in which situation each of these models should be used, and how they are linked to specific research questions Focuses on the understanding of the models, their implementation, and their interpretation, with an appropriate level of methodological development for masters students and applied statisticians Provides references to existing R packages and SAS procedure or macros, and illustrates the use of the main ones on real datasets This book is primarily aimed at applied statisticians and graduate students of statistics and biostatistics. It can also serve as an introductory reference for methodological researchers interested in the main extensions of classical survival analysis.