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Hey, water! I know you! You're all around. Join a young girl as she explores her surroundings and sees that water is everywhere. But water doesn't always look the same, it doesn't always feel the same, and it shows up in lots of different shapes.Water can be a lake, it can be steam, it can be a tear, or it can even be a snowman. As the girl discovers water in nature, in weather, in her home, and even inside her own body, water comes to life, and kids will find excitement and joy in water and its many forms. This book is conversational in tone and good to read aloud, but full of scientific facts narrated from a child's perspective.The artwork is bold and striking, with beautiful design make this attractive to pick up and handle. There is added backmatter on the water cycle, water conservation, and more.

For non-majors or mixed biology courses. An innovative learning experience that addresses how studentslearn today Campbell Biology: Concepts & Connections continuesto introduce pedagogical developments that create an innovative learningexperience and motivate students not only to learn, but also interact withbiology. The hallmark modular organization built around central concepts helpsstudents stay focused while engaging them in connecting biology with the worldoutside the classroom.Building on thetext's outstanding art and hallmark features, the 10th Edition deliversnew digital resources that guide students to success in the course. Thisedition draws from learning science as well as the authors' classroomexperience to provide tools that address how students learn today. New ChapterOpeners help students retain information, selected features break content intobite-size subsections, and additional author-created videos ensure studentsfocus on what is important.

Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twentieth century, in parallel with the growth of computer science and the accompanying utilization of computers, where efficient algorithms have been a prime goal. This book presents material on developments on graph algorithms and related concepts that will be of value to both mathematicians and computer scientists, at a level suitable for graduate students, researchers and instructors. The fifteen expository chapters, written by acknowledged international experts on their subjects, focus on the application of algorithms to solve particular problems. All chapters were carefully edited to enhance readability and standardize the chapter structure as well as the terminology and notation. The editors provide basic background material in graph theory, and a chapter written by the book's Academic Consultant, Martin Charles Golumbic (University of Haifa, Israel), provides background material on al