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Radiation-Induced Processes of Adaptation [electronic resource] : Research by statistical modelling / by Victoria L. Korogodina, Boris Florko, Ludmila P. Osipova.

By: Korogodina, Victoria L [author.]Contributor(s): Florko, Boris [author.] | Osipova, Ludmila P [author.] | SpringerLink (Online service)Material type: TextTextPublication details: Dordrecht : Springer Netherlands : Imprint: Springer, 2013Description: XVII, 183 p. 60 illus., 25 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9789400766303Subject(s): Environmental sciences | Epidemiology | Statistics | environmental protection | Environmental Medicine | environment | Effects of Radiation/Radiation Protection | Environmental Health | Math. Appl. in Environmental Science | Epidemiology | Statistics for Life Sciences, Medicine, Health SciencesDDC classification: 363.7 LOC classification: GE1-350Online resources: Click here to access online
Contents:
1. Introduction -- 2. Disturbance of the hereditary material reserves is the main instrument of stress -- 3. Excursus on statistical modeling for population biology. Statistical solution of some radiobiological tasks -- 4. Non-linearity induced by low-dose rates irradiation. Lab experiments on pea seeds -- 5. Adaptation and genetic instability in ecology. Study of the influence of nuclear station fallouts on plant population -- 6. Instability process across generation. 6. Consequences of nuclear test fallouts for inhabitants -- 7. Conclusion -- 8. Applications.
In: Springer eBooksSummary: In recent decades radiobiologists’ efforts have been directed at identifying the mechanisms of radiation effects; the general mechanisms have since been studied extensively. This book describes and analyzes radiation-induced adaptation as processes produced in cells, tissues, and populations. This viewpoint helps to understand the nature and factors of induced processes, to determine the characteristics of observed radiation effects and their limitations. The investigations presented here were founded on proper lab experiments, ecological studies of plant population growth near an operating nuclear power plant and a thorough epidemiological examination of human populations living in territories polluted fifty years ago, as well as on relevant published data. This research demonstrates the radiation-induced adaptation processes that continue even when the radiation itself is no longer at a critical background level. The investigations utilized the method of statistical modeling on the basis of distributions on the number of abnormalities. This method allows us to investigate the processes induced by low-dose factors when accompanied by Darwinian selection in different systems; the distribution parameters can then be used to study the characteristics of adaptation processes and system resistance. The consequences of background-level radiation continue to provoke debate, and the mathematical bases of the adaptation model are shown, while due consideration is paid to the components of adaptation: instability, selection, and proliferation. The book will be especially useful to specialists in radiation pollution, ecology, epidemiology, and radiology for studies of radiation-induced processes; the method presented here can also be adapted to investigate low-dose effects in other fields. In addition, the book presents a number of reviews in the fields of radiation biology, including pioneering investigations in Russia which were previously unavailable to Western scientists.
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1. Introduction -- 2. Disturbance of the hereditary material reserves is the main instrument of stress -- 3. Excursus on statistical modeling for population biology. Statistical solution of some radiobiological tasks -- 4. Non-linearity induced by low-dose rates irradiation. Lab experiments on pea seeds -- 5. Adaptation and genetic instability in ecology. Study of the influence of nuclear station fallouts on plant population -- 6. Instability process across generation. 6. Consequences of nuclear test fallouts for inhabitants -- 7. Conclusion -- 8. Applications.

In recent decades radiobiologists’ efforts have been directed at identifying the mechanisms of radiation effects; the general mechanisms have since been studied extensively. This book describes and analyzes radiation-induced adaptation as processes produced in cells, tissues, and populations. This viewpoint helps to understand the nature and factors of induced processes, to determine the characteristics of observed radiation effects and their limitations. The investigations presented here were founded on proper lab experiments, ecological studies of plant population growth near an operating nuclear power plant and a thorough epidemiological examination of human populations living in territories polluted fifty years ago, as well as on relevant published data. This research demonstrates the radiation-induced adaptation processes that continue even when the radiation itself is no longer at a critical background level. The investigations utilized the method of statistical modeling on the basis of distributions on the number of abnormalities. This method allows us to investigate the processes induced by low-dose factors when accompanied by Darwinian selection in different systems; the distribution parameters can then be used to study the characteristics of adaptation processes and system resistance. The consequences of background-level radiation continue to provoke debate, and the mathematical bases of the adaptation model are shown, while due consideration is paid to the components of adaptation: instability, selection, and proliferation. The book will be especially useful to specialists in radiation pollution, ecology, epidemiology, and radiology for studies of radiation-induced processes; the method presented here can also be adapted to investigate low-dose effects in other fields. In addition, the book presents a number of reviews in the fields of radiation biology, including pioneering investigations in Russia which were previously unavailable to Western scientists.

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