Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges. The authors of Networks Against Time claim that a unified supply chain network analytics framework is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food and from fashion apparel to technology. This Brief provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability of the product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustrate the power of the framework in practice. The models and algorithms are fully described along with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and for applications in practice. Researchers and practitioners in mathematics, in operations research and management science, operations management, as well as in economics and computer science will find this book useful to gain a broader appreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications.​​

Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges. The authors of Networks Against Time claim that a unified supply chain network analytics framework is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food and from fashion apparel to technology. This Brief provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability of the product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustrate the power of the framework in practice. The models and algorithms are fully described along with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and for applications in practice. Researchers and practitioners in mathematics, in operations research and management science, operations management, as well as in economics and computer science will find this book useful to gain a broader appreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications.​​

“For almost two decades, investigative journalist Jerry Mitchell doggedly pursued the Klansmen responsible for some of the most notorious murders of the civil rights movement. This book is his amazing story. Thanks to him, and to courageous prosecutors, witnesses, and FBI agents, justice finally prevailed.” —John Grisham, author of The Guardians On June 21, 1964, more than twenty Klansmen murdered three civil rights workers. The killings, in what would become known as the “Mississippi Burning” case, were among the most brazen acts of violence during the civil rights movement. And even though the killers’ identities, including the sheriff’s deputy, were an open secret, no one was charged with murder in the months and years that followed. It took forty-one years before the mastermind was brought to trial and finally convicted for the three innocent lives he took. If there is one man who helped pave the way for justice, it is investigative reporter Jerry Mitchell. In Race Against Time, Mitchell takes readers on the twisting, pulse-racing road that led to the reopening of four of the most infamous killings from the days of the civil rights movement, decades after the fact. His work played a central role in bringing killers to justice for the assassination of Medgar Evers, the firebombing of Vernon Dahmer, the 16th Street Church bombing in Birmingham and the Mississippi Burning case. Mitchell reveals how he unearthed secret documents, found long-lost suspects and witnesses, building up evidence strong enough to take on the Klan. He takes us into every harrowing scene along the way, as when Mitchell goes into the lion’s den, meeting one-on-one with the very murderers he is seeking to catch. His efforts have put four leading Klansmen behind bars, years after they thought they had gotten away with murder. Race Against Time is an astonishing, courageous story capturing a historic race for justice, as the past is uncovered, clue by clue, and long-ignored evils are brought into the light. This is a landmark book and essential reading for all Americans.

What started with the sundial has, thus far, been refined to a level of precision based on atomic resonance: Time. Our obsession with time is evident in this continued scaling down to nanosecond resolution and beyond. But this obsession is not without warrant. Precision and time synchronization are critical in many applications, such as air traffic

Building on classical queueing theory mainly dealing with single node queueing systems, networks of queues, or stochastic networks has been a field of intensive research over the last three decades. Whereas the first breakthrough in queueing network theory was initiated by problems and work in operations research, the second breakthrough, as well as subsequent major work in the area, was closely related to computer science, particularly to performance analysis of complex systems in computer and communication science. The text reports on recent research and development in the area. It is centered around explicit expressions for the steady behavior of discrete time queueing networks and gives a moderately positive answer to the question of whether there can be a product form calculus in discrete time. Originating from a course given by the author at Hamburg University, this book is ideally suited as a text for courses on discrete time stochastic networks.

* In-depth look into all of the aspects of NTP. * Takes the mystery (and fear) out of working with NTP. * Written in an entertaining and multi-faceted voice.

A Cold Civil War has engulfed the nation. After a deadly pandemic, shocking incidents of police brutality, a racial justice crisis, and the fall of a dangerous demagogue, America remains more divided than at any time in decades. At the heart of this national crisis is the fear of a darkening America—a country in which there is no longer a predominant white majority. As the Republican Party has lost the popular vote in seven of the last eight presidential elections, its leaders have incited white Americans in a last-ditch race against time to stop the advance of a new, multiracial emerging majority. Keith Boykin, long time political commentator, has watched this white resentment consume the GOP over the course of a life in politics, activism, and journalism. He has also observed the divisions among Democrats, as white progressives have postponed demands for full racial equity, while Black voters have often been too forgiving of party leaders who have failed to deliver. America can no longer avoid its long overdue reckoning with the past, Boykin argues. With the familiarity of personal experience and the acuity of historical insight, Boykin urges us to fight racism, sexism, xenophobia, and homophobia, and save the union, not just by making Black lives matter, but by making Black lives equal.

Are all film stars linked to Kevin Bacon? Why do the stock markets rise and fall sharply on the strength of a vague rumour? How does gossip spread so quickly? Are we all related through six degrees of separation? There is a growing awareness of the complex networks that pervade modern society. We see them in the rapid growth of the internet, the ease of global communication, the swift spread of news and information, and in the way epidemics and financial crises develop with startling speed and intensity. This introductory book on the new science of networks takes an interdisciplinary approach, using economics, sociology, computing, information science and applied mathematics to address fundamental questions about the links that connect us, and the ways that our decisions can have consequences for others.

This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks.