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.

When Seckry Sevenstars is forced out of his village by the greedy Endrin Corporation and relocated to the daunting metropolis of Skyfall City, he harbours resentment for the company and vows to get them back one day for taking away his home, his school and his friends. Fortunately, the marvels of the city do a good job in distracting Seckry from his anger and homesickness, and it isn't long before he's competing at Friction (the city's most popular multiplayer video game), slurping awe-inspiring multicoloured milkshakes, and getting butterflies on his first date. Then, when a mysterious email asks Seckry to break into the headquarters of the Endrin Corporation and steal a container full of worms for a hefty sum of money, his anger resurfaces, and he can't resist the revenge he promised himself. Alone at night, Seckry creeps through the sewers whilst wondering what experiments Endrin might be doing on the worms, and emerges into the silent complex. But the worms aren't the only thing that he finds. Staring at him through the darkness, with wide, innocent eyes, is something that makes Seckry's heart almost stop. A girl. She's shaking, petrified, and has no recollection of who she is or what she's doing there. Floodlights bleach the area and Seckry has no choice but to grab a hold of the girl and escape with her. Suddenly the question of what Endrin were doing with a few worms becomes the last thing on Seckry's mind. What were Endrin doing with a human?

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.

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.

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.