Academic literature on the topic 'Scores'
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Journal articles on the topic "Scores"
Taylor, William E., Christopher J. Cassady, Steven M. Lonergan, Ben D. Peyer, and Kenneth J. Stalder. "PSVII-11 Utilizing digital images to evaluate accuracy and repeatability of body condition score in cull sows." Journal of Animal Science 98, Supplement_3 (November 2, 2020): 169. http://dx.doi.org/10.1093/jas/skaa054.300.
Full textLiu, Vincent. "Keeping Score of Severity Scores." Critical Care Medicine 44, no. 3 (March 2016): 639–40. http://dx.doi.org/10.1097/ccm.0000000000001501.
Full textFerreira, Daniel. "Risk stratification after acute coronary syndromes: Scores, scores and yet another score." Revista Portuguesa de Cardiologia (English Edition) 36, no. 2 (February 2017): 85–87. http://dx.doi.org/10.1016/j.repce.2017.02.004.
Full textFerreira, Daniel. "Risk stratification after acute coronary syndromes: Scores, scores and yet another score." Revista Portuguesa de Cardiologia 36, no. 2 (February 2017): 85–87. http://dx.doi.org/10.1016/j.repc.2016.12.001.
Full textCaplan, Louis R. "Scores of Scores." JAMA Neurology 70, no. 2 (February 1, 2013): 252. http://dx.doi.org/10.1001/jamaneurol.2013.1144.
Full textZuvich, Miranda L., Lane K. Giess, and R. Mark Enns. "15 Evaluating Repeatability and Scorer Differences When Assigning Feet and Legs Scores in Simmental Heifers." Journal of Animal Science 100, Supplement_4 (October 22, 2022): 8–9. http://dx.doi.org/10.1093/jas/skac313.011.
Full textWaterman, R. "Projected score methods for approximating conditional scores." Biometrika 83, no. 1 (March 1, 1996): 1–13. http://dx.doi.org/10.1093/biomet/83.1.1.
Full textGadd, Molly M. "Braden Scale Cumulative Score Versus Subscale Scores." Journal of Wound, Ostomy and Continence Nursing 41, no. 1 (2014): 86–89. http://dx.doi.org/10.1097/01.won.0000438017.83110.6c.
Full textWunderink, Richard G. "Scores and Scores of Predicted Mortality Scores." Chest 163, no. 1 (January 2023): 6–7. http://dx.doi.org/10.1016/j.chest.2022.09.009.
Full textAndrade, Chittaranjan. "Z Scores, Standard Scores, and Composite Test Scores Explained." Indian Journal of Psychological Medicine 43, no. 6 (October 10, 2021): 555–57. http://dx.doi.org/10.1177/02537176211046525.
Full textDissertations / Theses on the topic "Scores"
Nicholson, John J. "Scores." Thesis, University of Exeter, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269745.
Full textMauricio, Toro. "Structured Interactive Scores." Phd thesis, Université Sciences et Technologies - Bordeaux I, 2012. http://tel.archives-ouvertes.fr/tel-00736021.
Full textRock, Richard. "Portfolio of scores." Thesis, University of Salford, 2011. http://usir.salford.ac.uk/26882/.
Full textMelen, Christopher. "Portfolio of scores." Thesis, Cardiff University, 2006. http://orca.cf.ac.uk/55607/.
Full textZhyltsova, D. O. "Fico credit scores." Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/34934.
Full textFunkhouser, Rob. "Surfaces." Digital Commons @ Butler University, 2017. https://digitalcommons.butler.edu/grtheses/492.
Full textBochmann, Rachel Alexandra Consitt. "Criteria for graphic representation in musical scores: Visual elements in musical scores." Master's thesis, Universidade de Évora, 2009. http://hdl.handle.net/10174/18523.
Full textMorell, Justin 1973. "Symphonies -- Scores and parts." Thesis, University of Oregon, 2010. http://hdl.handle.net/1794/11058.
Full textThroughout history, wondrous discoveries of science, like great pieces of music, have often come about through extraordinary feats of creativity, informed by deep rational thought yet not limited by it. Like science, music composition requires a mastery of its own technical features (instrumentation, orchestration, harmony, counterpoint, etc.), but neither music nor science can flourish when too much emphasis is placed upon the mechanical and not enough on the imagination. Composers have sometimes turned to mathematics as a tool for generating art though the systematization of musical elements. However, music often suffers from the conscious attempt by composers to bring it closer to the world of science and math through the serialization of musical material. This does not mean that mathematics and science do not play an important part in music of great expression. To be sure, composers have used simple mathematical concepts to discuss, analyze, and create music at every stage, whether consciously or unconsciously, since the beginning of Western music. These ideas are at the very heart of the great music of previous centuries, even if we celebrate those works more for their intrinsic beauty than their rational mechanics. It is the inventiveness and creativity that we find easy to value in music, but the science behind it also makes its creation possible. My symphony pays tribute to the marriage of creativity, not process, in scientific and musical thought, using the words of scientists and mathematicians as poetic texts, which generate musical imagery. I have chosen a series of quotations by notable scientists and mathematicians throughout history, which serve as textual introductions for each movement of the six-movement, approximately forty-five minute orchestral symphony. Each quotation makes reference to a specific scientific or mathematical discovery of its writer, or displays an aspect of his philosophy. The ideas expressed in the quotations serve as abstract inspiration and suggest musical imagery for each respective movement.
Committee in Charge: Dr. Robert Kyr, Chair; Dr. David Crumb; Dr. Jack Boss; Dr. Marilyn Linton
Tayrose, Michelle Parker. "The Relationship between WISC-IV Scores and North Carolina State Achievement Test Scores." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-03122008-104332/.
Full textNovotny, Michael T. "The Relationship Between TeacherInsight Scores and Professional Development and Appraisal System Domain Scores." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc9835/.
Full textBooks on the topic "Scores"
Macfarlane, Dave. Scores of scores. [Toronto]: Dave Macfarlane, 2004.
Find full textDelbanco, Nicholas. Old Scores. New York: Grand Central Publishing, 2001.
Find full textBennett, Roy. Listening scores. London: Longman, 1989.
Find full textElkins, Aaron J. Old scores. Bath: Chivers, 1994.
Find full textMacKay, Scott. Old scores. New York, NY: St. Martin's Minotaur, 2003.
Find full textDelbanco, Nicholas. Old scores. New York: Warner Books, 1997.
Find full textElkins, Aaron J. Old scores. Hampton, N.H: Curley Large Print, 1994.
Find full textWallach, Anne Tolstoi. Private scores. Sevenoaks: New English Library, 1988.
Find full textMacKay, Scott. Old scores. Toronto: Worldwide, 2005.
Find full textIsrailov, S. Yrlar: [scores]. Bishkek: Adabiiat, 1991.
Find full textBook chapters on the topic "Scores"
Banks, Sandra. "Cutoff Scores, Cutting Scores." In Encyclopedia of Clinical Neuropsychology, 1. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56782-2_1187-3.
Full textBanks, Sandra. "Cutoff Scores, Cutting Scores." In Encyclopedia of Clinical Neuropsychology, 1035. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1187.
Full textLefering, R., and E. Neugebauer. "Scores." In Die Intensivmedizin, 53–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-72296-0_7.
Full textLefering, Rolf, and Edmund Neugebauer. "Scores." In Die Intensivmedizin, 55–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16929-8_7.
Full textLefering, Rolf, and Edmund Neugebauer. "Scores." In Klinikmanual Intensivmedizin, 14–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16941-0_3.
Full textLefering, Rolf. "Scores." In Die Intensivmedizin, 69–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54953-3_8.
Full textNeugebauer, E., and R. Lefering. "Scores." In Die Intensivmedizin, 71–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-06654-6_7.
Full textGrüny, Christian. "Scores." In Das Nachleben der Künste, 105–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68783-3_7.
Full textDorans, Neil J. "Scores, Scales, and Score Linking." In The Wiley Handbook of Psychometric Testing, 571–605. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781118489772.ch19.
Full textBanks, Sandra. "Cut Off Scores, Cutting Scores." In Encyclopedia of Clinical Neuropsychology, 763. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1187.
Full textConference papers on the topic "Scores"
Gotham, Mark, Peter Jonas, Bruno Bower, William Bosworth, Daniel Rootham, and Leigh VanHandel. "Scores of scores." In DLfM '18: 5th International Conference on Digital Libraries for Musicology. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3273024.3273026.
Full textRobertson, Stephen, Evangelos Kanoulas, and Emine Yilmaz. "Modelling Score Distributions Without Actual Scores." In the 2013 Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2499178.2499181.
Full textTomás, Enrique. "Tangible Scores." In TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2839462.2856344.
Full textGrusky, Max. "Rogue Scores." In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Stroudsburg, PA, USA: Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.acl-long.107.
Full textRudder, Marc, Amanda Kissoon, and Indira Rampaul-Cheddie. "Raising the National Average for Asset Integrity Management in the Energy Sector of a Small Island Developing State." In SPE Trinidad and Tobago Section Energy Resources Conference. SPE, 2021. http://dx.doi.org/10.2118/200934-ms.
Full textUstun, Berk, and Cynthia Rudin. "Optimized Risk Scores." In KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3097983.3098161.
Full textLaplante, Audrey, and Ichiro Fujinaga. "Digitizing musical scores." In DLfM 2016: 3rd International Digital Libraries for Musicology workshop. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2970044.2970055.
Full textKasidi, Kasidi, Marhaeni Satyarini, and Sri Muryati. "The Influence of Try Out Scores on National Examination Scores." In Proceedings of the 1st International Conference on Economic and Education, ICON 2021, 14 - 15 December 2021, Padang-West Sumatra, Indonesia. EAI, 2022. http://dx.doi.org/10.4108/eai.14-12-2021.2318347.
Full textCraig, Curtis, Marshall Mabry, Bradley Drahos, William Kessler, Thomas Lenz, Kara Olander, and Nichole Morris. "An assessment of two pedestrian safety inventories." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005242.
Full textSoliman, Mohamed A., and Ihab F. Ilyas. "Ranking with Uncertain Scores." In 2009 IEEE 25th International Conference on Data Engineering (ICDE). IEEE, 2009. http://dx.doi.org/10.1109/icde.2009.102.
Full textReports on the topic "Scores"
Iwatani, Emi, Barbara Means, John Seylar, and Angela Hardy. Rubrics on Historical Thinking Skills for Assignments and Student Work: Initial Validity Evidence. Digital Promise, January 2021. http://dx.doi.org/10.51388/20.500.12265/112.
Full textStefanski, Leonard A., and Raymond J. Carroll. Conditional Scores and Optimal Scores for Generalized Linear Measurement-Error Models. Fort Belvoir, VA: Defense Technical Information Center, October 1985. http://dx.doi.org/10.21236/ada168533.
Full textHorne, Gary E. Effects of Using Subtest Standard Scores in Calculating AFQT (Armed Forces Qualification Test) Percentile Scores. Fort Belvoir, VA: Defense Technical Information Center, May 1986. http://dx.doi.org/10.21236/ada173784.
Full textJackson, C. Kirabo. What Do Test Scores Miss? The Importance of Teacher Effects on Non-Test Score Outcomes. Cambridge, MA: National Bureau of Economic Research, May 2016. http://dx.doi.org/10.3386/w22226.
Full textHagman, Joseph D. You Asked, We Listened: A Software Tool for Predicting Live-Fire Scores from Device-Based Scores. Fort Belvoir, VA: Defense Technical Information Center, October 1998. http://dx.doi.org/10.21236/ada358576.
Full textYe, Feifei. Validity, Reliability, and Concordance of the Duolingo English Test. Duolingo, May 2014. http://dx.doi.org/10.46999/eixn6416.
Full textBhattacharya, Jay, and William Vogt. Do Instrumental Variables Belong in Propensity Scores? Cambridge, MA: National Bureau of Economic Research, September 2007. http://dx.doi.org/10.3386/t0343.
Full textDas, Jishnu, Stefan Dercon, James Habyarimana, Pramila Krishnan, Karthik Muralidharan, and Venkatesh Sundararaman. School Inputs, Household Substitution, and Test Scores. Cambridge, MA: National Bureau of Economic Research, February 2011. http://dx.doi.org/10.3386/w16830.
Full textPanickar, Varun. Improving Ease of Registration Scores for Delhi. Indian Institute for Human Settlements, 2018. http://dx.doi.org/10.24943/pb1iersd.2018.
Full textClark, Melissa, Jesse Rothstein, and Diane Whitmore Schanzenbach. Selection Bias in College Admissions Test Scores. Cambridge, MA: National Bureau of Economic Research, August 2008. http://dx.doi.org/10.3386/w14265.
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