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A Human Factors and Ergonomics Approach to Understanding the Patient Experience in Emergency Medicine
Published in Rupa S. Valdez, Richard J. Holden, The Patient Factor, 2021
Enid Montague, Melinda Jamil, Jie Xu, Mitesh Rao
Processes varied between patient visits. Some patients talked to the nurses first, while others talked to the attending MDs or other care clinicians first. No fixed sequence of patient interaction with healthcare professionals was found. In addition, no particular patterns were found for the distribution of waiting times. For some patients, waiting times were evenly distributed between their interactions with different clinicians. Other patients, however, interacted with multiple clinicians in a short period after a long wait. Figure 2.3 shows a visual comparison of three sample patient visits.
ChIP-seq analysis
Published in Altuna Akalin, Computational Genomics with R, 2020
Genome browsers can visualize most of the commonly used genomic data formats: BAM, BED, wig, and bigWig. The easiest way to access our data would be to load the .bam files into the browser. This will show us the sequence and position of every mapped read. If we want to view multiple samples in parallel, loading every mapped read can be restrictive. It takes up a lot of computational resources, and the amount of information makes the visual comparison hard to do. We would like to convert our data so that we get a compressed visualization, which would show us the main properties of our samples, namely, the quality and the location of the enrichment. This is achieved by summarizing the read enrichment into a signal profile - the whole experiment is converted into a numeric vector - a coverage vector. The vector contains information on how many reads overlap each position in the genome.
Combination Trials
Published in Ying Yuan, Hoang Q. Nguyen, Peter F. Thall, Bayesian Designs for Phase I–II Clinical Trials, 2017
Ying Yuan, Hoang Q. Nguyen, Peter F. Thall
as a basis for visual comparison. Other probability surfaces as functions of d may be drawn similarly, such as , for Y = 1, 2, or 3. Figure 8.3 shows that PDS gives a very flexible model for the probabilities that are the basis for the dose-finding design.
Two preprocessing algorithms for climate time series
Published in Journal of Applied Statistics, 2020
Stephan Schlüter, Milena Kresoja
For detailed test results, see Appendix 3, but the main findings can already be derived from a visual comparison. In Figures 4 and 5 we plot κ ranging between zero and 14. Hence, we have four basic scenarios to judge the methods' performance, and we see that there is none that prevails in all four. The ACU algorithm shows to be quite ‘trigger-happy’ given the chosen algorithm parameters: It has the best sensitivity, but the worst specificity. The median-based method is dominated by all other alternatives both regarding
The effects of reflected glare and visual field lighting on computer vision syndrome
Published in Clinical and Experimental Optometry, 2019
Chao‐wen Lin, Feng‐ming Yeh, Bo‐wen Wu, Chang‐hao Yang
Before the main study, a pilot study was initiated to evaluate the feasibility of the experiments and calculate the sample size. Thirty participants were included in each display group and were required to perform visual tasks lasting two hours. The visual tasks included interactive games, videos, Chinese typing, reading comprehension tests, and graph interpretation exercises. A visual function test was performed before and after these tasks. The participants completed the glare and visual fatigue questionnaires before performing the visual task and repeated the visual fatigue questionnaire after these tasks. Visual performance, defined as ‘correct ratio × speed’ of an eight‐minute visual comparison test, was also recorded before and after the visual task.
Analytical comparability study of recombinant monoclonal antibody therapeutics
Published in mAbs, 2018
Alexandre Ambrogelly, Stephen Gozo, Amit Katiyar, Shara Dellatore, Yune Kune, Ram Bhat, Joanne Sun, Ning Li, Dongdong Wang, Christine Nowak, Alyssa Neill, Gomathinayagam Ponniah, Cory King, Bruce Mason, Alain Beck, Hongcheng Liu
Presenting raw data such as chromatograms and gel images is very helpful for direct visual comparison. It is worthwhile to mention that for direct comparison, lots included in comparability studies should be analyzed side-by-side on the same gel or within the same HPLC sequence to eliminate the impact of method variability on the results. Chromatograms and gel images of the same size and scale of pre-change and post-change lots should be a basic requirement. At a minimum, all labels should be legible. For trending plots, different colors and symbols should be used for the corresponding pre- and post-change lots consistently throughout the document to facilitate review.