Predicting the unpredictable: How host specific is the mycobiota of bark and ambrosia beetles?
Sign Up to like & getrecommendations! Published in 2019 at "Fungal Ecology"
DOI: 10.1016/j.funeco.2019.07.008
Abstract: Abstract Bark and ambrosia beetles (Curculionidae: Scolytinae) are known for their symbioses with fungi and play a key role in the dispersal of phytopathogens. The scolytine community of eight pine stands along a latitudinal gradient… read more here.
Keywords: ambrosia beetles; bark ambrosia; host; predicting unpredictable ... See more keywords
AML: Predicting the Unpredictable.
Sign Up to like & getrecommendations! Published in 2018 at "Cell stem cell"
DOI: 10.1016/j.stem.2018.07.005
Abstract: Acute myeloid leukemia (AML) has been considered an unpredictable and unpreventable disease. Recently in Nature, Abelson et al. (2018) presented two models of AML risk prediction, one using the detection of high-risk age-related clonal hematopoiesis and… read more here.
Keywords: predicting unpredictable; aml predicting;
Predicting the Unpredictable – Harder than Expected
Sign Up to like & getrecommendations! Published in 2020 at "Prehospital and Disaster Medicine"
DOI: 10.1017/s1049023x20000217
Abstract: Abstract Introduction: An earthquake is a hazard that may cause urgent needs requiring international assistance. To ensure rapid funding for such needs-based humanitarian assistance, swift decisions are needed. However, data to guide needs-based funding decisions… read more here.
Keywords: predict scale; scale needs; predicting unpredictable; needs based ... See more keywords