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Geneticist Alexandra Blake uses her expertise to investigate a serial killer plaguing military bases across the country, but when an another murder hits close to home, Alex and her boyfriend, a Texas congressman, find their lives in danger.
THIS volume is concerned with a substantial branch of number theory of which no connected account appears to exist; we describe the general nature of the constituent topics in the introduction. Although some excellent surveys dealing with limited aspects of the subject under con sideration have been published, the literature as a whole is far from easy to study. This is due in part to the extent of the literature; it is necessary to thread one's way through a maze of results, a complicated structure of inter-relationships, and many conflicting notations. In addition, however, not all the original papers are free from obscurities, and consequently some of these papers are difficult (a few even exceed ingly difficult) to master. We try to give a readable and coherent account of the subject, con taining a cross-section of the more interesting results. We felt that it would have been neither practicable nor desirable to attempt a compre hensive account; we treat each aspect of the subject from some special point of view, and select results accordingly. Needless to say, this approach entails the omission of many interesting and important results (quite apart from defects in the selection due to errors of judgement on our part). Those results selected for inclusion are, however, proved in complete detail and without the assumption of any prior knowledge on the part of the reader.
Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
For fans of The Hunger Games, Battlestar Galactica, and Blade Runner comes the first book in the Partials Sequence, a fast-paced, action-packed, and riveting sci-fi teen series, by acclaimed author Dan Wells. Humanity is all but extinguished after a war with Partials—engineered organic beings identical to humans—has decimated the population. Reduced to only tens of thousands by a weaponized virus to which only a fraction of humanity is immune, the survivors in North America have huddled together on Long Island. But sixteen-year-old Kira is determined to find a solution. As she tries desperately to save what is left of her race, she discovers that that the survival of both humans and Partials rests in her attempts to answer questions about the war's origin that she never knew to ask. Playing on our curiosity of and fascination with the complete collapse of civilization, Partials is, at its heart, a story of survival, one that explores the individual narratives and complex relationships of those left behind, both humans and Partials alike—and of the way in which the concept of what is right and wrong in this world is greatly dependent on one's own point of view. Supports the Common Core State Standards
It's Seckry Sevenstars' second year at Estergate Institute, and things are already shaping up to be just as eventful as the first; a revolting looking Nasty has appeared in the Food Grabber machine, a new lesson called fringe science has been added to his timetable, Mrs Cutson is acting more sadistic than ever, and two exchange students from Norsegate have arrived, causing trouble and provoking Seckry and his friends. On top of this, the twenty eighth Friction Mega Meltdown is fast approaching, and Seckry can't wait to transform into Anikam so he can revenge on Norsegate in the best way possible - by winning the trophy for the second year in a row! But with a major update having just been implemented, can Seckry and his teammates adapt quickly enough to outwit their opponents and capture the win? With homework mounting and Friction training at its most intense, Seckry has very little time for distractions, but Kevan Kayne, thought to be dead, has appeared in the city, and suddenly, Seckry is forced to rethink everything he knew about Eiya's existence. Also, after realising that the blank birthday card last year was actually from his father, he cannot help but try to uncover the truth behind his mysterious disappearance, and in his quest for answers, Seckry unearths long forgotten secrets buried within the school grounds. Secrets that will change his life forever. Get ready to join Seckry and friends for another epic adventure in this thrilling sequel to the bestselling City of the Falling Sky.
Indispensable for students, invaluable for researchers, this comprehensive treatment of contemporary quasi–Monte Carlo methods, digital nets and sequences, and discrepancy theory starts from scratch with detailed explanations of the basic concepts and then advances to current methods used in research. As deterministic versions of the Monte Carlo method, quasi–Monte Carlo rules have increased in popularity, with many fruitful applications in mathematical practice. These rules require nodes with good uniform distribution properties, and digital nets and sequences in the sense of Niederreiter are known to be excellent candidates. Besides the classical theory, the book contains chapters on reproducing kernel Hilbert spaces and weighted integration, duality theory for digital nets, polynomial lattice rules, the newest constructions by Niederreiter and Xing and many more. The authors present an accessible introduction to the subject based mainly on material taught in undergraduate courses with numerous examples, exercises and illustrations.
Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition, protein secondary structure prediction and part-of-speech tagging. Recurrent neural networks are powerful sequence learning tools—robust to input noise and distortion, able to exploit long-range contextual information—that would seem ideally suited to such problems. However their role in large-scale sequence labelling systems has so far been auxiliary. The goal of this book is a complete framework for classifying and transcribing sequential data with recurrent neural networks only. Three main innovations are introduced in order to realise this goal. Firstly, the connectionist temporal classification output layer allows the framework to be trained with unsegmented target sequences, such as phoneme-level speech transcriptions; this is in contrast to previous connectionist approaches, which were dependent on error-prone prior segmentation. Secondly, multidimensional recurrent neural networks extend the framework in a natural way to data with more than one spatio-temporal dimension, such as images and videos. Thirdly, the use of hierarchical subsampling makes it feasible to apply the framework to very large or high resolution sequences, such as raw audio or video. Experimental validation is provided by state-of-the-art results in speech and handwriting recognition.
The year is 10,515 AD. The Hyades Armada, traveling at near lightspeed, will reach Earth in just four centuries to assess humanity's value as slaves. For the last 8,000 years, two opposing factions have labored to meet the alien threat in very different ways. One of them is Ximen del Azarchel, immortal leader of the mutineers from the starship Hermetic and self-appointed Master of the World, who has allowed his followers to tamper continuously with the evolutionary destiny of Man, creating one bizarre race after another in an apparent search for a species the Hyades will find worthy of conquest. The other is Menelaus Montrose, the posthuman Judge of Ages, whose cryonic Tombs beneath the surface of Earth have preserved survivors from each epoch created by the Hermeticists. Montrose intends to thwart the alien invaders any way he can, and to remain alive long enough to be reunited with his bride Rania, who is on a seventy-millennia journey to confront the Hyades' masters, tens of thousands of light-years away. Now, with the countdown to the Hyades' arrival nearing its end, del Azarchel and Montrose square off for what is to be their final showdown for the fate of Earth, a battle of gunfire and cliometric calculus; powered armor and posthuman intelligence. Judge of Ages is the wildly inventive third volume in a series exploring future history and human evolution from John C. Wright.