Academic literature on the topic 'Reproducability'

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Journal articles on the topic "Reproducability"

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Mazur, Mary G., Judith Mihalko-Mueller, Helen Callans, Deetra Klesh, Heather Sell, and Diane Bendig. "Reproducability of Non-Invasive Bilirubin Measurements." MCN, The American Journal of Maternal/Child Nursing 39, no. 4 (2014): 225–30. http://dx.doi.org/10.1097/nmc.0000000000000048.

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de Ridder, R., W. J. Willems, P. R. Algra, J. H. Barentsz, and R. A. Manoliu. "The reproducability of the bigliani classification system an assessment of interobserver reliability and intraobserver reproducability using MRI and radiography." Journal of Shoulder and Elbow Surgery 5, no. 2 (March 1996): S32. http://dx.doi.org/10.1016/s1058-2746(96)80176-5.

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Punbar, C. C., L. Seldenberg, D. W. Michielli, and M. I. Kalinaki. "874 REPRODUCABILITY OF A PERCEPTUALLY BASED EXERCISE PRESCRIPTION." Medicine & Science in Sports & Exercise 25, Supplement (May 1993): S156. http://dx.doi.org/10.1249/00005768-199305001-00876.

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Salz, Andrée. "Maximising data standardisation and reproducability from flow cytometry." Cell and Gene Therapy Insights 5, S6 (August 15, 2019): 1075–80. http://dx.doi.org/10.18609/cgti.2019.115.

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Ackermann, Clemens. "The "Current of Music": Reproducability and the Broadcasted Symphony." International Journal of Arts Theory and History 14, no. 3 (2019): 33–43. http://dx.doi.org/10.18848/2326-9952/cgp/v14i03/33-43.

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Reardon, Patrick R., Wanda S. Kaniewski, Charles J. Aramburo, Lisa L. Hawkins, and Mark T. Toyama. "Geometry and reproducability in 360° fundoplication: Short term outcome." Gastroenterology 118, no. 4 (April 2000): A1527. http://dx.doi.org/10.1016/s0016-5085(00)82019-3.

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Mantziaras, Panos. "Perspectives of Technology: Rudolf Schwarz on the Artifice and its Reproducability." Thresholds 24 (January 2002): 6–11. http://dx.doi.org/10.1162/thld_a_00387.

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Eramian, Mark, Christopher Power, Stephen Rau, and Pulkit Khandelwal. "Benchmarking Human Performance in Semi-Automated Image Segmentation." Interacting with Computers 32, no. 3 (May 2020): 233–45. http://dx.doi.org/10.1093/iwcomp/iwaa017.

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Abstract Semi-automated segmentation algorithms hold promise for improving extraction and identification of objects in images such as tumors in medical images of human tissue, counting plants or flowers for crop yield prediction or other tasks where object numbers and appearance vary from image to image. By blending markup from human annotators to algorithmic classifiers, the accuracy and reproducability of image segmentation can be raised to very high levels. At least, that is the promise of this approach, but the reality is less than clear. In this paper, we review the state-of-the-art in semi-automated image segmentation performance assessment and demonstrate it to be lacking the level of experimental rigour needed to ensure that claims about algorithm accuracy and reproducability can be considered valid. We follow this review with two experiments that vary the type of markup that annotators make on images, either points or strokes, in tightly controlled experimental conditions in order to investigate the effect that this one particular source of variation has on the accuracy of these types of systems. In both experiments, we found that accuracy substantially increases when participants use a stroke-based interaction. In light of these results, the validity of claims about algorithm performance are brought into sharp focus, and we reflect on the need for a far more control on variables for benchmarking the impact of annotators and their context on these types of systems.
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Harney, R. G., R. Johnson, D. R. Dengel, W. Durfee, and R. Serfass. "REPRODUCABILITY OF A BLOCKING ERGOMETER FOR MEASURING POWER OUTPUT AND RESPONSE TIME." Medicine & Science in Sports & Exercise 35, Supplement 1 (May 2003): S97. http://dx.doi.org/10.1097/00005768-200305001-00539.

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Švedienė, Sigita. "VARIOUS INFORMATION SOURCES FOR NATURAL SCIENCE EDUCATION." GAMTAMOKSLINIS UGDYMAS / NATURAL SCIENCE EDUCATION 7, no. 1 (April 5, 2010): 38–41. http://dx.doi.org/10.48127/gu-nse/10.7.38.

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There are several methods of information convenient for natural science education, including press and television. The author checks the information which was published on the TV show and press by Rūta Janutienė, concerning the bread contamination with high stability toxin glyphosate. This herbicide is used to sprey the crop. The article provides information about the worldwide scientific research in order to investigate the effect of toxic glyphosate on humans and the environment. The conclusion is drawn about the negative influence of glyphosate on the reproducability. The author proves that journalist Rūta Janutienė has touched an essential contemporary ecological issue. Key words: natural science information, herbicide, assessment of toxicity, reproducibility.
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Conference papers on the topic "Reproducability"

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Ghanta, Sindhu, Sriram Subramanian, Swaminathan Sundararaman, Lior Khermosh, Vinay Sridhar, Dulcardo Arteaga, Qianmei Luo, Dhananjoy Das, and Nisha Talagala. "Interpretability and Reproducability in Production Machine Learning Applications." In 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, 2018. http://dx.doi.org/10.1109/icmla.2018.00105.

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Becher, G., S. Dietze, A. Kikowatz, W. Steinhaeusser, B. Timm-Labsch, S. Schmidtmann, and E. Beck. "Comparison and Reproducability of the eNO-Measurement in Exhalate with Different Devices." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a1371.

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