The Next Boom Sampler

A "boxed set" of unabridged ebooks! TWO paranormals and a BONUS medieval mystery. Three firsts in their series. First up is THE DAEMON DEVICE, the first in the Enchanter Chronicles gaslamp-steampunk fantasy trilogy, with dirigibles chugging through the sooty skies of London, a magician with Jewish-Romani blood, an automaton, golems, ghosts, creatures of Gehenna, a shrewd Jewish daemon, mad German scientists, and a Special Inspector from Scotland Yard who may not be what she seems. With illustrations by Robert Carrasco. Then the second paranormal MOONRISERS, the first in the humorous Moonriser Werewolf Mystery series, with Jeff, a player and a surfer who has a werewolf problem that involves him with a dangerous surfer gang, a Voodoo coven, a werewolf pack…and murder! And then--a BONUS! The (real) first in the Crispin Guest Medieval Noir series CUP OF BLOOD. Disgraced knight turned detective Crispin Guest finds himself investigating a missing religious relic while eluding the violent overtures of the minions of the French antipope, a sultry courtier, Knight Templars, and a cunning cutpurse.

This free e-book features two short stories from Waiting for the Machines to Fall Asleep, as well as one bonus story exclusive to the sampler. Contents "Punch Card Horses" – Jonas Larsson "Vegatropolis – City of the Beautiful" – Ingrid Remvall Bonus story: "The White Ones" – Boel Bermann Waiting for the Machines to Fall Asleep 26 short stories from the new wave of Swedish speculative fiction writers. Forget about cheap furniture, meatballs and crime fiction. Sweden has so much more to offer. Waiting for the Machines to Fall Asleep contains twenty-six stories from the new generation of Swedish writers of science fiction and the fantastic. Stories ranging from space horror and post-apocalyptic nightmares to tender dramas. Stories with steampunk horses, android uprisings and cheeky goblins. Stories that are action-packed, wise, silly, beautiful, surreal and horrifying.

The significant progress achieved in modern instrumental analysis has led to a continuous lowering of detection limits and improved precision. This should in principle permit the reliable and extremely precise analysis of trace compounds mainly trace elements, at levels down to the lowest natural concentrations. However, the frequently observed very high discrepancies between the analyt ical results of different laboratories as well as the deviations from true values are, regrettably, still common in analytical practice. Basic methodological errors at the determination step can usually be minimized or even avoided by carefully per formed quality control measures - e. g. by interlaboratory comparisons and the proper use of certified reference materials. The most severe and often under estimated error sources, however, are those connected with the whole and often extremely complex sampling process, and also to a lesser extent, with sample pre paration prior to analysis. Thus, for these initial steps of an analytical procedure particular experience is needed, as well as a detailed knowledge of the interrela tions between these steps, which always have to be applied with the utmost care. In collaboration with a number of very experienced colleagues working in dif book has tried to contribute to a better ferent research areas, the editor of this understanding of these particular error sources and how they can be overcome in a series of training courses held during the last decade at the "Haus der Technik", Essen, Germany.

Data in the genomics field is booming. In just a few years, organizations such as the National Institutes of Health (NIH) will host 50+ petabytes—or over 50 million gigabytes—of genomic data, and they’re turning to cloud infrastructure to make that data available to the research community. How do you adapt analysis tools and protocols to access and analyze that volume of data in the cloud? With this practical book, researchers will learn how to work with genomics algorithms using open source tools including the Genome Analysis Toolkit (GATK), Docker, WDL, and Terra. Geraldine Van der Auwera, longtime custodian of the GATK user community, and Brian O’Connor of the UC Santa Cruz Genomics Institute, guide you through the process. You’ll learn by working with real data and genomics algorithms from the field. This book covers: Essential genomics and computing technology background Basic cloud computing operations Getting started with GATK, plus three major GATK Best Practices pipelines Automating analysis with scripted workflows using WDL and Cromwell Scaling up workflow execution in the cloud, including parallelization and cost optimization Interactive analysis in the cloud using Jupyter notebooks Secure collaboration and computational reproducibility using Terra

Sketches of Manhattan from 1642 through 1895 reflect the city's changing face. Rather than prominent individuals or significant events, these 43 images depict typical daily activities of city dwellers.