3,360 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

    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

    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

    sj-docx-1-jdr-10.1177_00220345221089858 – Supplemental material for Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning

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    Supplemental material, sj-docx-1-jdr-10.1177_00220345221089858 for Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning by S.Y. Yang, S.H. Li, J.L. Liu, X.Q. Sun, Y.Y. Cen, R.Y. Ren, S.C. Ying, Y. Chen, Z.H. Zhao and W. Liao in Journal of Dental Research</p
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