44 items found

Tags: 59999 Environmental Sciences not elsewhere classified Cell Biology pattern

Filter Results
  • dataset

    Inclusion criteria.

    a. IFs added as supplementary information after completion of the project. They refer to the years 2013–2014 (except for the Journal of the American Medical Association: 2015)....
  • dataset

    Demographic data

    **P<0.01; SD, standard deviation; Max/Min, maximal/minimal.The number of participants did not differ between genders (Chi-square P>0.05). The dancer and pianist groups...
  • dataset

    Odds ratio (OR) and 95% confidence interval (95% CI) of breast cancer across ...

    Odds ratio (OR) and 95% confidence interval (95% CI) of breast cancer across quartiles of four dietary patterns by menopausal statusa.
  • dataset

    A novel method for comparison of arterial remodeling in hypertension: Quantif...

    Remodeling of spatially heterogeneous arterial trees is routinely quantified on tissue sections by averaging linear dimensions, with lack of comparison between different organs...
  • dataset

    Different models for covariate effects on the transition probabilities betwee...

    The predictors ηij relate to the transition probabilities as given in Eq (7). The spline effects of hour are denoted by , of τt by , and of dt by for k = 1, 2, 3 and i, j = 1,...
  • dataset

    Summary measures of Model 1 with 3 states.

    Means and standard deviations based on correlated Log-normal, correlated Gamma, independent Log-normal and independent Gamma distribution. MD: Maximum Depth; DT: Diving Time;...
  • dataset

    Demographic distribution for cats included in each of the studies.

    Results within a category that are designated by the same letter were not significantly different from one another.
  • dataset

    Specific activations for Leading, Following, and Mutual.

    Talairach coordinates for the peak activations for the contrasts “one partnered condition versus the conjunction of the three partnered conditions” (see Methods for details), p...
  • dataset

    Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Popul...

    Advances in neuronal recording techniques are leading to ever larger numbers of simultaneously monitored neurons. This poses the important analytical challenge of how to capture...
  • dataset

    Complexity of models.

    Runtimes and number of variables for different state distributions and for 2, 3 and 4 states for covariate model 1. Runtimes are on Intel Xeon E5-2697v2 @ 2.7 GHz.
  • dataset

    r37980778c78--2e13f1858be4700e484942951535c240

    Many forms of joint action involve physical coupling between the participants, such as when moving a sofa together or dancing a tango. We report the results of a novel...
  • dataset

    r37980778c78--9cadc65a05ebba1d9095018e5b7ff8c6

    Transmedia storytelling involves telling a story using multiple distinct media. The remit of stories that fall under this broad definition is vast, consequently causing...
  • dataset

    Dietary patterns, groups of food/ beverage and factor scores<sup>a</sup> (N =...

    Dietary patterns, groups of food/ beverage and factor scoresa (N = 1753).
  • dataset

    Improvisation and self-initiation.

    Talairach coordinates for the peak activations and deactivations for the contrast “improvised versus non-improvised” (i.e., Leading + Solo > Mutual + Alone), p Following), p <...
  • dataset

    r37980778c78--0be0a170c44a2c0e69bf35929f885b42

    Introduction and objectivesAccelerometry is used as an objective measure of physical activity in humans and veterinary species. In cats, one important use of accelerometry is in...
  • dataset

    Instance state and interactivity.

    Instance state and interactivity.
  • dataset

    Primary patterns of each form.

    Primary patterns of each form.
  • dataset

    r37980778c78--7cac6155bb5580209579fff977df0353

    Selected case studies.
  • dataset

    r37980778c78--cb5cd08fcebbdc7270a0724261f014db

    Models were tested both with and without covariates. Values in bold are significant after adjustment for multiple comparisons using Bonferroni correction for each data set (row).
  • dataset

    r37980778c78--aa29f1a66e8cc49a25704b70ace4dc6e

    Coefficients for predictors of Machiavellianism, grandiose narcissism, vulnerable narcissism, primary psychopathy, secondary psychopathy, and odd beliefs/magical thinking .