Over the past few decades, lymphoma patient outcomes have improved as a result of multidrug chemotherapy and radiation therapy, intensification of treatment, improvement in supportive care, and better imaging and staging systems. Even more recently, there has been tremendous progress in the understanding of cancer cell biology and its microenvironment which has resulted in the development of biologic agents, also called "target" therapies. These therapies are more specific in targeting cancer cells either directly or via enhancement of the immune system. Many clinical studies have focused on biological agents in combination with traditional chemotherapy with the goal of improved outcomes, or reduced acute long term complications that are associated with lymphoma therapy. This volume will review different classes of "target" drugs that have been developed, approved, or are under investigation in the field of lymphoma therapy. The discussion will not only be on the understanding of the mechanisms of action or clinical response of those agents, but will also help the reader to understand the nature of lymphoma biology in patients who relapse or are refractor after exposure to those drugs. Contributors will discuss what is currently known about mechanisms of tumor-related or host-related resistance, and how to overcome this resistance. This understanding is crucial given the dismal outcomes of patients with relapsed or refractory lymphomas. The book provides a unique opportunity to review and reflect on the recent successes and pitfalls of the modern lymphoma therapy era.

Over the past few decades, lymphoma patient outcomes have improved as a result of multidrug chemotherapy and radiation therapy, intensification of treatment, improvement in supportive care, and better imaging and staging systems. Even more recently, there has been tremendous progress in the understanding of cancer cell biology and its microenvironment which has resulted in the development of biologic agents, also called "target" therapies. These therapies are more specific in targeting cancer cells either directly or via enhancement of the immune system. Many clinical studies have focused on biological agents in combination with traditional chemotherapy with the goal of improved outcomes, or reduced acute long term complications that are associated with lymphoma therapy. This volume will review different classes of "target" drugs that have been developed, approved, or are under investigation in the field of lymphoma therapy. The discussion will not only be on the understanding of the mechanisms of action or clinical response of those agents, but will also help the reader to understand the nature of lymphoma biology in patients who relapse or are refractor after exposure to those drugs. Contributors will discuss what is currently known about mechanisms of tumor-related or host-related resistance, and how to overcome this resistance. This understanding is crucial given the dismal outcomes of patients with relapsed or refractory lymphomas. The book provides a unique opportunity to review and reflect on the recent successes and pitfalls of the modern lymphoma therapy era.

Parallel algorithms Made Easy

The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms—appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book:

• Presents basic concepts in clear and simple terms
• Incorporates numerous examples to enhance students' understanding
• Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering
• Employs extensive illustrations of new design techniques
• Discusses parallel algorithms in the context of PRAM model
• Includes end-of-chapter exercises and detailed references on parallel computing.

This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.