Radiation Hormesis and the Linear-No-Threshold Assumption

Nonfiction, Health & Well Being, Medical, Specialties, Radiology & Nuclear Medicine, Science & Nature, Technology, Environmental
Cover of the book Radiation Hormesis and the Linear-No-Threshold Assumption by Charles L. Sanders, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Charles L. Sanders ISBN: 9783642037207
Publisher: Springer Berlin Heidelberg Publication: November 7, 2009
Imprint: Springer Language: English
Author: Charles L. Sanders
ISBN: 9783642037207
Publisher: Springer Berlin Heidelberg
Publication: November 7, 2009
Imprint: Springer
Language: English

Current radiation protection standards are based upon the application of the linear no-threshold (LNT) assumption, which considers that even very low doses of ionizing radiation can cause cancer. The radiation hormesis hypothesis, by contrast, proposes that low-dose ionizing radiation is beneficial. In this book, the author examines all facets of radiation hormesis in detail, including the history of the concept and mechanisms, and presents comprehensive, up-to-date reviews for major cancer types. It is explained how low-dose radiation can in fact decrease all-cause and all-cancer mortality and help to control metastatic cancer. Attention is also drawn to biases in epidemiological research when using the LNT assumption. The author shows how proponents of the LNT assumption consistently reject, manipulate, and deliberately ignore an overwhelming abundance of published data and falsely claim that no reliable data are available at doses of less than 100 mSv.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Current radiation protection standards are based upon the application of the linear no-threshold (LNT) assumption, which considers that even very low doses of ionizing radiation can cause cancer. The radiation hormesis hypothesis, by contrast, proposes that low-dose ionizing radiation is beneficial. In this book, the author examines all facets of radiation hormesis in detail, including the history of the concept and mechanisms, and presents comprehensive, up-to-date reviews for major cancer types. It is explained how low-dose radiation can in fact decrease all-cause and all-cancer mortality and help to control metastatic cancer. Attention is also drawn to biases in epidemiological research when using the LNT assumption. The author shows how proponents of the LNT assumption consistently reject, manipulate, and deliberately ignore an overwhelming abundance of published data and falsely claim that no reliable data are available at doses of less than 100 mSv.

More books from Springer Berlin Heidelberg

Cover of the book Recent Advances in Interval Type-2 Fuzzy Systems by Charles L. Sanders
Cover of the book Evolution Inclusions and Variation Inequalities for Earth Data Processing I by Charles L. Sanders
Cover of the book China Satellite Navigation Conference (CSNC) 2013 Proceedings by Charles L. Sanders
Cover of the book Lehrbuch der ökonomischen Analyse des Zivilrechts by Charles L. Sanders
Cover of the book Handbuch Entwicklungs- und Erziehungspsychologie by Charles L. Sanders
Cover of the book Assisted Circulation 4 by Charles L. Sanders
Cover of the book Advances and Challenges in Space-time Modelling of Natural Events by Charles L. Sanders
Cover of the book Überleitungsmanagement by Charles L. Sanders
Cover of the book Mathematical Foundations of Computer Science 2015 by Charles L. Sanders
Cover of the book Clinical Neuroembryology by Charles L. Sanders
Cover of the book Tragwerke 1 by Charles L. Sanders
Cover of the book Laser in Environmental and Life Sciences by Charles L. Sanders
Cover of the book Aspect-Oriented Database Systems by Charles L. Sanders
Cover of the book Hemopoietic System by Charles L. Sanders
Cover of the book FBL Klein-Vogelbach Functional Kinetics praktisch angewandt by Charles L. Sanders
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy