Onin

An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.

This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

"Since the early 1960s, the Hubbard Brook Experimental Forest in the White Mountains of New Hampshire has been one of the most comprehensively studied landscapes on earth. This book highlights many of the important ecological findings amassed during the long-term research conducted there, and considers their regional, national, and global implications." -- P.2 of cover.

A new multimedia e-dition package includes the book and CD-ROM plus access to the continuously updated website! The website (http://www.criticalcaretext.com) also offers links to important websites, calculators, the full text online, and all the illustrations--downloadable for presentations. A completely new editorial team presents the radical revision to this leading critical care text, previously edited by Shoemaker et al. Today's best coverage of both adult and pediatric critical care, with contributions from an impressive roster of world experts. In addition to numerous new chapters and many extensively rewritten ones, it features a completely new section on commonly encountered problems and a new, more user-friendly organization. Covers both adult and pediatric critical care. Features the authority of the top names in critical care from around the world, including an outstanding new editorial team as well as authors who are among the most highly respected researchers, instructors, and clinicians in the field. Offers a brand-new section that provides quick access to practical guidance on the problems most frequently encountered in the ICU. Explores hot new topics such as Inter- and Intra-Hospital Transport, Disaster Medicine for the ICU Physician, and Teaching Critical Care. Provides a new, more user-friendly organization. Presents only the most essential references within the text, with the rest provided on the enclosed CD-ROM. Is available in a multimedia package that combines the book with access to a fully searchable, continuously updated web site!. Your purchase entitles you to access the web site until the next edition is published, or until the current edition is no longer offered for sale by Elsevier, whichever occurs first. If the next edition is published less than one year after your purchase, you will be entitled to online access for one year from your date of purchase. Elsevier reserves the right to offer a suitable replacement product (such as a downloadable or CD-ROM-based electronic version) should access to the web site be discontinued.

"The first novel by Zoella"--Title page.

LONGLISTED FOR THE ORANGE PRIZE FOR FICTION 2012 There were people on the banks of the river. Among the tangled waterways and giant anacondas of the Brazilian Rio Negro, an enigmatic scientist is developing a drug that could alter the lives of women for ever. Dr Annick Swenson's work is shrouded in mystery; she refuses to report on her progress, especially to her investors, whose patience is fast running out. Anders Eckman, a mild-mannered lab researcher, is sent to investigate. A curt letter reporting his untimely death is all that returns. Now Marina Singh, Anders' colleague and once a student of the mighty Dr Swenson, is their last hope. Compelled by the pleas of Anders's wife, who refuses to accept that her husband is not coming home, Marina leaves the snowy plains of Minnesota and retraces her friend's steps into the heart of the South American darkness, determined to track down Dr. Swenson and uncover the secrets being jealously guarded among the remotest tribes of the rainforest. What Marina does not yet know is that, in this ancient corner of the jungle, where the muddy waters and susurrating grasses hide countless unknown perils and temptations, she will face challenges beyond her wildest imagination. Marina is no longer the student, but only time will tell if she has learnt enough.

Heroes don't stand for themselves. They stand for others who cannot. Betrayed by those they'd taken in and narrowly avoiding a disaster of untold proportions, Marcus and his friends are once again thrust into a fight for their very survival, this time against Carver and his band of murderous adventurers. But as their newfound war quickly reaches a stalemate, both sides find themselves scrambling for a way to break it, while viciously battling one another for every inch of ground that they can steal in the process. Yet just as Marcus and the others manage to gain an advantage that could very well end the conflict, they find their world turned upside down as an even greater enemy appears on the horizon. Pushed to the brink, it will take every ounce of cunning and courage they have to find a way to survive. Assuming they can at all.

Being a hero always has its price, but what happens if that price is too high to pay? Fresh off their victory over Graves and his followers, Marcus and his friends have managed to enjoy a few weeks of relative calm and peace as they continue to build Aldford, preparing the town for a new wave of settlers coming from Eberia. But as the days wear on with no new arrivals in sight, they begin to fear the worse, eventually setting out to search for their promised reinforcements and soon realizing that they weren't as alone on the frontier as they thought they were. Just managing to rescue a caravan of settlers in the nick of time from a horde of bandits, Marcus and the rest of Virtus barely have a chance to catch their breath before they find themselves thrust into the middle of Eberian politics, revealing a plot that threatens to not only take away their hard-won independence. But to destroy Aldford completely.

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.