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Träfflista för sökning "WFRF:(Chapman MA) "

Search: WFRF:(Chapman MA)

  • Result 1-10 of 505
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1.
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2.
  • Thomas, HS, et al. (author)
  • 2019
  • swepub:Mat__t
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3.
  • 2021
  • swepub:Mat__t
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4.
  • 2021
  • swepub:Mat__t
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6.
  • Beal, Jacob, et al. (author)
  • Robust estimation of bacterial cell count from optical density
  • 2020
  • In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 3:1
  • Journal article (peer-reviewed)abstract
    • Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals <1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data.
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7.
  • James, SL, et al. (author)
  • Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
  • 2020
  • In: Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention. - : BMJ. - 1475-5785. ; 26:SUPP_1Supp 1, s. 125-153
  • Journal article (peer-reviewed)abstract
    • While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria.MethodsIn this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced.ResultsGBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes.ConclusionsGBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.
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8.
  • Kanai, M, et al. (author)
  • 2023
  • swepub:Mat__t
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10.
  • Niemi, MEK, et al. (author)
  • 2021
  • swepub:Mat__t
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  • Result 1-10 of 505
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journal article (368)
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Type of content
peer-reviewed (489)
other academic/artistic (3)
Author/Editor
Chen, X. (465)
Adye, T. (463)
Aleksa, M. (463)
Amelung, C. (463)
Anastopoulos, C. (463)
Antonelli, M. (463)
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Arai, Y. (463)
Arnaez, O. (463)
Asquith, L. (463)
Assamagan, K. (463)
Bachacou, H. (463)
Backes, M. (463)
Baker, O. K. (463)
Banas, E. (463)
Barisonzi, M. (463)
Barklow, T. (463)
Beau, T. (463)
Beck, H. P. (463)
Bella, G. (463)
Beltramello, O. (463)
Benary, O. (463)
Benekos, N. (463)
Benhammou, Y. (463)
Beringer, J. (463)
Berry, T. (463)
Bilokon, H. (463)
Blumenschein, U. (463)
Boehler, M. (463)
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Borisov, A. (463)
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Burke, S. (463)
Busato, E. (463)
Calderini, G. (463)
Carli, T. (463)
Caron, S. (463)
Casadei, D. (463)
Catinaccio, A. (463)
Chakraborty, D. (463)
Chapman, J. D. (463)
Chekanov, S. (463)
Chen, H. (463)
Cheu, E. (463)
Chevalier, L. (463)
Chouridou, S. (463)
Cinca, D. (463)
Cindro, V. (463)
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English (505)
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Natural sciences (329)
Medical and Health Sciences (7)
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