Get the cheapest price on this rebuilt horror classic.
remake brings a more immersive experience with next-gen visual fidelity, incredible atmospheric audio and gameplay improvements.
You play as engineer Isaac Clarke who is sent on a routine repair mission on the massive planetary mining ship the USG Ishimura, but when the vessel's crew is attacked by mutated horman corpses, you're left fending to survive while exploring the ship and dismembering monsters with satisfying tactical gunplay.
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Evidence of transgenerational effects on autism spectrum disorder using multigenerational space-time cluster detection - International Journal of Health GeographicsBackground Transgenerational epigenetic risks associated with complex health outcomes, such as autism spectrum disorder (ASD), have attracted increasing attention. Transgenerational environmental risk exposures with potential for epigenetic effects can be effectively identified using space-time clustering. Specifically applied to ancestors of individuals with disease outcomes, space-time clustering characterized for vulnerable developmental stages of growth can provide a measure of relative risk for disease outcomes in descendants. Objectives (1) Identify space-time clusters of ancestors with a descendent with a clinical ASD diagnosis and matched controls. (2) Identify developmental windows of ancestors with the highest relative risk for ASD in descendants. (3) Identify how the relative risk may vary through the maternal or paternal line. Methods Family pedigrees linked to residential locations of ASD cases in Utah have been used to identify space-time clusters of ancestors. Control family pedigrees of none-cases based on age and sex have been matched to cases 2:1. The data have been categorized by maternal or paternal lineage at birth, childhood, and adolescence. A total of 3957 children, both parents, and maternal and paternal grandparents were identified. Bernoulli space-time binomial relative risk (RR) scan statistic was used to identify clusters. Monte Carlo simulation was used for statistical significance testing. Results Twenty statistically significant clusters were identified. Thirteen increased RR (| 1.0) space-time clusters were identified from the maternal and paternal lines at a p-value | 0.05. The paternal grandparents carry the greatest RR (2.86–2.96) during birth and childhood in the 1950’s–1960, which represent the smallest size clusters, and occur in urban areas. Additionally, seven statistically significant clusters with RR | 1 were relatively large in area, covering more rural areas of the state. Conclusion This study has identified statistically
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