3,798 research outputs found

    Natural Variation of the Circadian Clock in Neurospora

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    Most living organisms on earth experience daily and expected changes from the rotation of the earth. For an organism, the ability to predict and prepare for incoming stresses or resources is a very important skill for survival. This cellular process of measuring daily time of the day is collectively called the circadian clock. Because of its fundamental role in survival in nature, there is a great interest in studying the natural variation of the circadian clock. However, characterizing the genetic and molecular mechanisms underlying natural variation of circadian clocks remains a challenging task. In this chapter, we will summarize the progress in studying natural variation of the circadian clock in the successful eukaryotic model Neurospora, which led to discovering many design principles of the molecular mechanisms of the eukaryotic circadian clock. Despite the success of the system in revealing the molecular mechanisms of the circadian clock, Neurospora has not been utilized to extensively study natural variation. We will review the challenges that hindered the natural variation studies in Neurospora, and how they were overcome. We will also review the advantages of Neurospora for natural variation studies. Since Neurospora is the model fungal species for circadian study, it represents over 5 million species of fungi on earth. These fungi play important roles in ecosystems on earth, and as such Neurospora could serve as an important model for understanding the ecological role of natural variation in fungal circadian clocks.Advances in Genetics, Vol. 99

    Lewie Chapel United Methodist Church, Gilbert

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    The town of Gilbert, also known as Gilbert Hollow, was called Lewiedale from 1886 to 1899 after the family of Samuel (1802-1865) and Nancy Hendrix Lewie (1807-1865). Four of six Lewie sons saw Confederate service in the 15th S.C. Infantry, with Frederick S. (1831-1873) as its lieutenant colonel and James H. (1838-1889) as a captain. Several family members are buried here. Source: SCDAHhttps://digitalcommons.wofford.edu/umcschistoric/1117/thumbnail.jp

    Corrigendum to “A generic multi-level framework for microscopic traffic simulation with automated vehicles in mixed traffic” [Transport. Res. Part C: Emerg. Technol. 110 (2020) 291–311] (Transportation Research Part C (2020) 110 (291–311), (S0968090X19304322), (10.1016/j.trc.2019.11.019))

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    The authors regret that a contributing author was missing from the list of authors. The complete list of authors should be: “S.C. Calvert, B. van Arem, & J. W. C. van Lint”. All are with Delft University of Technology, Department of Transport & Planning, The Netherlands updated as above. The authors would like to apologise for any inconvenience caused.Transport and Plannin

    Improving generation length estimates for the IUCN Red List

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    The International Union for the Conservation of Nature (IUCN) Red List classifies species according to their risk of extinction, informing local to global conservation decisions. Here we look to advance the estimation of generation length, which is used as a time-scalar in the Red List as a way of accounting for differences in species' life-histories. We calculated or predicted generation length for 86 species of antelope following the Rspan approach. We also tested the importance of both allometry (body-mass) and phylogeny (phylogenetic eigenvectors) as predictors of generation length within a Phylogenetic Eigenvector Map (PEM) framework. We then evaluated the predictive power of this PEM and two binning approaches, following a leave-one-out cross-validation routine. We showed that captive and wild longevity data are nonequivalent and that both body-mass and phylogeny are important predictors for generation length (body-mass explained 64% and phylogeny 36% of the partitioned explained variance). Plus, both the PEM, and the binning approach that included both taxonomic rank and body-mass, had good predictive power and therefore are suitable for extrapolating generation length to missing-data species. Therefore, based on our findings, we advise separating captive and wild data when estimating generation length, and considering the implications of wild and captive data more widely in life-history analyses. We also recommend that body-mass and phylogeny should be used in combination, preferably under a PEM framework (as it was less reliant on available reference species and more explicitly accounts for phylogenetic relatedness) or a binning approach if a PEM is not feasible, to extrapolate generation length to missing-data species. Overall, we provide a transparent, consistent and transferable workflow for improving the use of the Rspan method to calculate generation length for the IUCN Red List.</p

    Towards the Holy Grail: combining system dynamics and discrete-event simulation in healthcare

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    The idea of combining discrete-event simulation and system dynamics has been a topic of debate in theoperations research community for over a decade. Many authors have considered the potential benefits ofsuch an approach from a methodological or practical standpoint. However, despite numerous examples ofmodels with both discrete and continuous parameters in the computer science and engineering literature,nobody in the OR field has yet succeeded in developing a genuinely hybrid approach which truly integratesthe philosophical approach and technical merits of both DES and SD in a single model. In this paperwe consider some of the reasons for this and describe two practical healthcare examples of combinedDES/SD models, which nevertheless fall short of the “holy grail” which has been so widely discussed inthe literature over the past decade
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