Risk-informed Methods and Applications in Nuclear and Energy Engineering: Modelling, Experimentation, and Validation presents a comprehensive view of the latest technical approaches and experimental capabilities in nuclear energy engineering. Based on Idaho National Laboratory’s popular summer school series, this book compiles a collection of entries on the cutting-edge research and knowledge presented by proponents and developers of current and future nuclear systems, focusing on the connection between modelling and experimental approaches. Included in this book are key topics such as probabilistic concepts for risk analysis, the survey of legacy reliability and risk analysis tools, and newly developed tools supporting dynamic probabilistic risk-assessment. This book is an insightful and inspiring compilation of work from top nuclear experts from INL. Industry professionals, researchers and academics working in nuclear engineering, safety, operations and training will gain a board picture of the current state-of-practice and be able to apply that to their own risk-assessment studies.

Providing the range of mail-related services expected by organizations can be a confusing, daunting process. "Pro Open Source Mail: Building an Enterprise Mail Solution" presents a comprehensive guide to managing the most important e-mail services, including user administration, mail transfer agents, remote e-mail access, virus protection, spam and e-mail filtering, web-based e-mail, and mailing list maintenance.

Beginning with installation and configuration of the popular server-based operating system Fedora Core, the book outlines the system and network preparation process geared towards running a complete enterprise e-mail system. Subsequent chapters cover installation and configuration of sendmail, the popular POP3/IMAP server Dovecot, and ClamAV and SpamAssassin for virus protection and spam filtering. With a nod to the global e-mail availability now required by many organizations, this book also guides you through configuration of a web-based mail interface, mailing-list software, and advanced security and privacy topics.

"The Monster Pig" is a story of a young boy's imagination and his uncle's exaggeration. It will lead you down a path of his imagination, right to the pen of the monster pig.

"A Ride on the Silver" tells the tale of an old man's experiences as a young boy, starting a summer lawn-mowing business. He recalls the work, the sweat, the tears-and a true and lasting friendship.

"The Radio" is the story of a young girl ripped from her friends in a small town, only to find a series of heartwarming events unfolding in her new home.

"The Leather Sandals" shares a familary story. Everybody knows how the story of the crucifixion of Jesus Christ evolved. This is another side of the account, purely fictional but Christian in intent, of how a blind sandal maker becomes a great shepherd.

"The Babyl Stone" takes you on a journey through time, as you follow the stone from the beginning of civilization to possibly the end of time.

Recent years have seen significant advances in the use of risk analysis in many government agencies and private corporations. These advances are reflected both in the state of practice of risk analysis, and in the status of governmental requirements and industry standards. Because current risk and reliability models are often used to regulatory decisions, it is critical that inference methods used in these models be robust and technically sound.

The goal of Bayesian Inference for Probabilistic Risk Assessment is to provide a Bayesian foundation for framing probabilistic problems and performing inference on these problems. It is aimed at scientists and engineers who perform or review risk analyses and it provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.

Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). MCMC methods were described in the early 1950s in research into Monte Carlo sampling at Los Alamos. Recently, with the advance of computing power and improved analysis algorithms, MCMC is increasingly being used for a wide range of Bayesian inference problems in a variety of disciplines. MCMC is effectively (although not literally) numerical (Monte Carlo) integration by way of Markov chains. Inference is performed by sampling from a target distribution (i.e., a specially constructed Markov chain, based upon the inference problem) until convergence (to the posterior distribution) is achieved. The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The approach that is taken in this book is to provide analysis "building blocks" that can be modified, combined, or used as-is to solve a variety of challenging problems.

The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying each script is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. The book also covers the important topic of MCMC convergence.

- Explores the housing process through the direct experiences and perspectives of social service workers, including the barriers they confront and the creative workarounds and methods they employ to provide services to their clients. - Features the perspectives and accounts of direct-care providers working within the larger homeless services system in its exploration of street-level bureaucracy among homeless service providers. - Portrayal of "fitting stories" and the challenges imposed by SPDAT offer timely and vivid detail that capture the obstacles and workarounds navigated by case workers. - Coverage of the experiences of the unhoused being re-housed fills a gap by focusing on the perspective of case workers and direct-care providers, which should directly interest both students and social service providers.

- Explores the housing process through the direct experiences and perspectives of social service workers, including the barriers they confront and the creative workarounds and methods they employ to provide services to their clients. - Features the perspectives and accounts of direct-care providers working within the larger homeless services system in its exploration of street-level bureaucracy among homeless service providers. - Portrayal of "fitting stories" and the challenges imposed by SPDAT offer timely and vivid detail that capture the obstacles and workarounds navigated by case workers. - Coverage of the experiences of the unhoused being re-housed fills a gap by focusing on the perspective of case workers and direct-care providers, which should directly interest both students and social service providers.

*Pro Open Source Mail: Building An Enterprise Mail Solution is the first book to cover development and deployment of an enterprise mail server environment *Authored by Curtis Smith, a system administrator with more than five years of experience managing mail environments *Shows readers how to filter spam using the popular SpamAssassin open source project and how to stop viruses using the MailScanner, Amavis, and ClamAV projects

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis "building blocks" that can be modified, combined, or used as-is to solve a variety of challenging problems. The MCMC approach used is implemented via textual scripts similar to a macro-type programming language. Accompanying most scripts is a graphical Bayesian network illustrating the elements of the script and the overall inference problem being solved. Bayesian Inference for Probabilistic Risk Assessment also covers the important topics of MCMC convergence and Bayesian model checking. Bayesian Inference for Probabilistic Risk Assessment is aimed at scientists and engineers who perform or review risk analyses. It provides an analytical structure for combining data and information from various sources to generate estimates of the parameters of uncertainty distributions used in risk and reliability models.

Kayla perceives her world in vectors and variables, in quantities given and determined. She's a prodigy. A genius. Yet there are equations she can't solve.

"What you feel first is the simplicity-of sentences, of tone, of description-but then before you know it, complexity has crept in on every level, and by the end of each of these stories you are left marveling at the layers of life history and humanity Curtis Smith has evoked. Beasts and Men, compressed, poetic, poignant, and compassionate, contains some of the best very short fiction I have read in a very long time." -Robin Black, author of If I loved you, I would tell you this

A look into the past at Christmas, this book includes wonderful illustrations from the mid-1800s to the early 1900s. It shows how Santa's look has changed through even that brief timeframe to the character we are familiar with today. Also included is the classic "'Twas the Night before Christmas" poem and a great short story from author J. Curtis Smith.

"The Monster Pig" is a story of a young boy's imagination and his uncle's exaggeration. It will lead you down a path of his imagination, right to the pen of the monster pig.

"A Ride on the Silver" tells the tale of an old man's experiences as a young boy, starting a summer lawn-mowing business. He recalls the work, the sweat, the tears-and a true and lasting friendship.

"The Radio" is the story of a young girl ripped from her friends in a small town, only to find a series of heartwarming events unfolding in her new home.

"The Leather Sandals" shares a familary story. Everybody knows how the story of the crucifixion of Jesus Christ evolved. This is another side of the account, purely fictional but Christian in intent, of how a blind sandal maker becomes a great shepherd.

"The Babyl Stone" takes you on a journey through time, as you follow the stone from the beginning of civilization to possibly the end of time.

Utilizing luminous prose and scintillating imagery, Curtis Smith plunges his readers into the company of lovers and murderers, false prophets and mute believers, Russian mobsters and one very bad monkey. In these fourteen stories, Smith breathes life into a host of damaged hearts and then unflinchingly exposes the wonders and horrors lurking within each. Read BAD MONKEY and discover what makes Curtis Smith one of the most vital writers on today's literary scene.

Aaron Burch, editor of Hobart says, "There are elements in these stories we recognize-- the vacation story, the murder mystery, Godzilla, geometry-- and their brilliance is how Curtis Smith takes these expectations and plays with and against them, twisting, pulling, bringing us along wherever he goes. There are surprises, plot twists, playful language and form, shifts in emotion that catch you off guard. Most importantly, Smith infuses these stories with humor. He surprises you with it; he alleyoops comedic setups then grabs you and breaks your heart, leaving you wondering what just happened."