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Träfflista för sökning "WFRF:(Chang Xiao) "

Search: WFRF:(Chang Xiao)

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  • 2019
  • Journal article (peer-reviewed)
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4.
  • 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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5.
  • Sampson, Joshua N., et al. (author)
  • Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types
  • 2015
  • In: Journal of the National Cancer Institute. - : Oxford University Press (OUP). - 0027-8874 .- 1460-2105. ; 107:12
  • Journal article (peer-reviewed)abstract
    • Background: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites. Methods: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers. Results: GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, h(l)(2), on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (rho = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (rho = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (rho = 0.51, SE = 0.18), and bladder and lung (rho = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures. Conclusion: Our results provide important insights into the genetic architecture of cancers and suggest new avenues for investigation.
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6.
  • Aad, G, et al. (author)
  • 2015
  • swepub:Mat__t
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7.
  • Ablikim, M., et al. (author)
  • Amplitude analysis of the KSKS system produced in radiative J /psi decays
  • 2018
  • In: Physical Review D. - : AMER PHYSICAL SOC. - 2470-0010 .- 2470-0029. ; 98:7
  • Journal article (peer-reviewed)abstract
    • An amplitude analysis of the KSKS system produced in radiative J/psi decays is performed using the (1310.6 +/- 7.0) x 10(6) nip decays collected by the BESIII detector. Two approaches are presented. A mass-dependent analysis is performed by parametrizing the KSKS invariant mass spectrum as a sum of Breit-aligner line shapes. Additionally, a mass-independent analysis is performed to extract a piecewise function that describes the dynamics of the KSKS system while making minimal assumptions about the properties and number of poles in the amplitude. The dominant amplitudes in the mass-dependent analysis include the f(0)(1710), f(0)(2200), and f(2)'(1525). The mass-independent results, which are made available as input for further studies, are consistent with those of the mass-dependent analysis and are useful for a systematic study of hadronic interactions. The branching fraction of radiative J/psi decays to KSKS is measured to be (8.1 +/- 0.4) x 10(-4), where the uncertainty is systematic and the statistical uncertainty is negligible.
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8.
  • Ablikim, M., et al. (author)
  • Branching fraction measurement of J/ψ→KSKL and search for J/ψ→KSKS
  • 2017
  • In: Physical Review D. - 2470-0010 .- 2470-0029. ; 96:11
  • Journal article (peer-reviewed)abstract
    • Using a sample of 1.31 x 10(9) J/Psi events collected with the BESIII detector at the BEPCII collider, we study the decays of J/Psi -> KSKL and KSKS. The branching fraction of J/Psi -> KSKL is determined to be B(J/Psi -> KSKL) = (1.93 +/- 0.01 (stat) +/- 0.05 (syst)) x 10(-4), which significantly improves on previous measurements. No clear signal is observed for the J/Psi -> KSKS process, and the upper limit at the 95% confidence level for its branching fraction is determined to be B(J/Psi -> KSKS) < 1.4 x 10(-8), which improves on the previous searches by 2 orders in magnitude and reaches the order of the Einstein-Podolsky-Rosen expectation.
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9.
  • Ablikim, M., et al. (author)
  • Branching fraction measurements of psi (3686) -> gamma chi(cJ)
  • 2017
  • In: Physical Review D. - 2470-0010 .- 2470-0029. ; 96:3
  • Journal article (peer-reviewed)abstract
    • Using a sample of 106 million psi(3686) decays, the branching fractions of psi(3686) -> gamma chi(c0), psi(3686) -> gamma chi(c1), and psi(3686) -> gamma chi(c2) are measured with improved precision to be (9.389 +/- 0.014 +/- 0.332) %, (9.905 +/- 0.011 +/- 0.353) %, and (9.621 +/- 0.013 +/- 0.272) %, respectively, where the first uncertainties are statistical and the second ones are systematic. The product branching fractions of (psi 3686) -> gamma chi(c1), chi(c1) -> gamma J/psi (3686) -> gamma chi(c2), chi(c2) -> gamma J/psi and the branching fractions of chi(c1) -> gamma J/psi and chi(c2) -> gamma J/psi are also presented.
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10.
  • Ablikim, M., et al. (author)
  • Evidence for e+e−→γηc(1S) at center-of-mass energies between 4.01 and 4.60 GeV
  • 2017
  • In: Physical Review D. - 2470-0010 .- 2470-0029. ; 96:5
  • Journal article (peer-reviewed)abstract
    • We present first evidence for the process e(+)e(-) -> gamma eta(c)(1S) at six center-of-mass energies between 4.01 and 4.60 GeV using data collected by the BESIII experiment operating at BEPCII. We measure the Born cross section at each energy using a combination of twelve eta(c)(1S) decay channels. We also combine all six energies under various assumptions for the energy-dependence of the cross section. If the process is assumed to proceed via the Y(4260), we measure a peak Born cross section sigma(peak)(e(+)e(-) -> gamma eta(c)(1S)) = 2.11 +/- 0.49 (stat.) +/- 0.36 (syst.) pb with a statistical significance of 4.2 sigma.
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  • Result 1-10 of 473
Type of publication
journal article (460)
conference paper (7)
research review (2)
other publication (1)
Type of content
peer-reviewed (465)
other academic/artistic (6)
Author/Editor
Peters, K. (352)
Cetin, S. A. (351)
Jin, S. (350)
Ouyang, Q. (348)
Cakir, O. (347)
Xu, L. (324)
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Liu, J. B. (315)
Chen, X. (313)
Liu, D. (303)
Wang, K. (294)
Zhang, J. (291)
Liu, K. (284)
Zhang, L. (280)
Yang, Y. (279)
Berger, N. (271)
Fang, Y. (260)
Chen, S. (244)
Bai, Y. (238)
Werner, M. (222)
Huang, Y. (220)
Zhang, H. (214)
Zhang, Z. (214)
Wang, J. (213)
Li, B. (212)
Li, H. (212)
Wang, R. (212)
Chen, C. (211)
Chen, H. (211)
Chen, Y. (211)
Francis, D. (211)
Walker, R. (211)
Wilson, A. (211)
Liu, M. (210)
Pinder, A. (210)
Wang, H. (210)
Yu, J. (210)
Arai, Y. (209)
Guo, J. (209)
Hu, D. (209)
Li, S. (209)
Nilsson, P. (209)
Sanchez, A. (209)
Shimizu, S. (209)
Silva, J. (209)
White, S. (209)
Yamamoto, A. (209)
Yamamoto, S. (209)
Yan, Z. (209)
Yang, H. (209)
Zhang, X. (209)
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University
Uppsala University (372)
Lund University (239)
Royal Institute of Technology (207)
Stockholm University (201)
Karolinska Institutet (49)
Umeå University (33)
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Linköping University (19)
University of Gothenburg (14)
Malmö University (5)
Chalmers University of Technology (5)
Swedish University of Agricultural Sciences (5)
Örebro University (4)
Högskolan Dalarna (2)
Luleå University of Technology (1)
Halmstad University (1)
Mid Sweden University (1)
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Language
English (473)
Research subject (UKÄ/SCB)
Natural sciences (382)
Medical and Health Sciences (69)
Engineering and Technology (9)
Agricultural Sciences (1)

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