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The effects of natural variation in background radioactivity on humans, animals and other organisms

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TLDR
These studies suggest that current levels of natural radioactivity may affect mutational input and thereby the genetic constitution and composition of natural populations, and a concerted effort to address this lack of research should be made.
Abstract
Natural levels of radioactivity on the Earth vary by more than a thousand-fold; this spatial heterogeneity may suffice to create heterogeneous effects on physiology, mutation and selection. We review the literature on the relationship between variation in natural levels of radioactivity and evolution. First, we consider the effects of natural levels of radiation on mutations, DNA repair and genetics. A total of 46 studies with 373 effect size estimates revealed a small, but highly significant mean effect that was independent of adjustment for publication bias. Second, we found different mean effect sizes when studies were based on broad categories like physiology, immunology and disease frequency; mean weighted effect sizes were larger for studies of plants than animals, and larger in studies conducted in areas with higher levels of radiation. Third, these negative effects of radiation on mutations, immunology and life history are inconsistent with a general role of hormetic positive effects of radiation on living organisms. Fourth, we reviewed studies of radiation resistance among taxa. These studies suggest that current levels of natural radioactivity may affect mutational input and thereby the genetic constitution and composition of natural populations. Susceptibility to radiation varied among taxa, and several studies provided evidence of differences in susceptibility among populations or strains. Crucially, however, these studies are few and scattered, suggesting that a concerted effort to address this lack of research should be made.

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Phy-X / PSD: Development of a user friendly online software for calculation of parameters relevant to radiation shielding and dosimetry

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LETTERS to the EDITORPublication bias

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Chronic exposure to low-dose radiation at Chernobyl favours adaptation to oxidative stress in birds

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Mechanical features and radiation shielding properties of TeO2–Ag2O-WO3 glasses

TL;DR: In this paper, the authors investigated the mechanical features and radiation shielding properties of (100 − 2x)TeO2+xAg2O+xWO3 (where x = 7.5, 15, 22.5 and 30 ǫ) glass system.
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Ionizing radiation, antioxidant response and oxidative damage: A meta-analysis

TL;DR: The results are consistent with the description of mechanisms underlying pathological effects of chronic exposure to LDIR, and highlight the importance of resistance to oxidative stress as one possible mechanism associated with variation in species responses toLDIR-contaminated areas.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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Operating characteristics of a rank correlation test for publication bias.

TL;DR: In this paper, an adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations, and the test statistic is a direct statistical analogue of the popular funnel-graph.
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Trim and fill: A simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.

TL;DR: In this paper, a rank-based data augmentation technique is proposed for estimating the number of missing studies that might exist in a meta-analysis and the effect that these studies might have had on its outcome.
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