“Since K–12 students taught using the new [Next Generation Science Standards]will be arriving in college classrooms prepared in a different way from those in our classrooms currently, it would behoove college teachers to be prepared to alter their teaching methods ... or be perceived to be dinosaurs using the older teaching methods.” — From Exemplary College Science Teaching If you’re looking for inspiration to alter your teaching methods to match new standards and new times, this book is for you. As the first in the Exemplary Science series to focus exclusively on college science teaching, this book offers 16 examples of college teaching that builds on what students learned in high school. Understanding that college does not exist in a vacuum, the chapter authors demonstrate how to adapt the methods and frameworks under which secondary students have been working and make them their own for the college classroom, adding new technologies when appropriate and letting the students take an active role in their learning. Among the innovative topics and techniques the essays in this book explore are • Lecture-free college science teaching • Peer-led study groups as learning communities • Jigsaw techniques that enhance learning • Inquiry incorporated into large-group settings • Interactive video conferences for assessing student attitudes and behaviors The clichéd image of the professor droning on before a packed lecture hall is a thing of the past. The essays in this book explain why—and offer the promise of a better future.

Comprehensive Toxicology, Third Edition, Fifteen Volume Set discusses chemical effects on biological systems, with a focus on understanding the mechanisms by which chemicals induce adverse health effects. Organized by organ system, this comprehensive reference work addresses the toxicological effects of chemicals on the immune system, the hematopoietic system, cardiovascular system, respiratory system, hepatic toxicology, renal toxicology, gastrointestinal toxicology, reproductive and endocrine toxicology, neuro and behavioral toxicology, developmental toxicology and carcinogenesis, also including critical sections that cover the general principles of toxicology, cellular and molecular toxicology, biotransformation and toxicology testing and evaluation. Each section is examined in state-of-the-art chapters written by domain experts, providing key information to support the investigations of researchers across the medical, veterinary, food, environment and chemical research industries, and national and international regulatory agencies. Thoroughly revised and expanded to 15 volumes that include the latest advances in research, and uniquely organized by organ system for ease of reference and diagnosis, this new edition is an essential reference for researchers of toxicology. Organized to cover both the fundamental principles of toxicology and unique aspects of major organ systems Thoroughly revised to include the latest advances in the toxicological effects of chemicals on the immune system Features additional coverage throughout and a new volume on toxicology of the hematopoietic system Presents in-depth, comprehensive coverage from an international author base of domain experts

This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic researchers in areas of electrical engineering, electronics engineering, computer engineering, and computational biology. This book: • Covers algorithms in the fields of artificial intelligence, and machine learning useful in biological data analysis. • Discusses comprehensively artificial intelligence and automatic image interpretation in modern biological systems. • Presents the application of evolutionary computations for fractal visualization of sequence data. • Explores the use of genetic algorithms for pair-wise and multiple sequence alignments. • Examines the roles of efficient computational techniques in biology.