Academic literature on the topic 'Inaccuracies'
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Journal articles on the topic "Inaccuracies"
Naqvi, K. Razi. "Historical inaccuracies." Journal of Chemical Education 70, no. 7 (July 1993): 605. http://dx.doi.org/10.1021/ed070p605.1.
Full textZolotov, Yu A. "Historical inaccuracies." Journal of Analytical Chemistry 61, no. 3 (March 2006): 211. http://dx.doi.org/10.1134/s1061934806030014.
Full textMeyer, Kathleen, B. Bower, Steven Lloyd, Roger Newman, and Susan Harrison. "Indo-European Inaccuracies." Science News 147, no. 19 (May 13, 1995): 291. http://dx.doi.org/10.2307/3979122.
Full textSimonton, Dean Keith. "Errors and Inaccuracies." Contemporary Psychology 47, no. 1 (February 2002): 94. http://dx.doi.org/10.1037/005132.
Full textHartley, James. "Inaccuracies in titles." Scientometrics 103, no. 1 (February 15, 2015): 329–30. http://dx.doi.org/10.1007/s11192-015-1530-9.
Full textJackson, Randolph N., and Christopher Yavelow. "Inaccuracies in Music Notation?" Computer Music Journal 10, no. 2 (1986): 6. http://dx.doi.org/10.2307/3679478.
Full textTsu, Vivien Davis, and D. Scott LaMontagne. "Human Papillomavirus Vaccine Inaccuracies." American Journal of Public Health 102, no. 3 (March 2012): 389–90. http://dx.doi.org/10.2105/ajph.2011.300474.
Full textCook, Janine Denis, Thomas R. Koch, Michael S. Cook, and Edward C. Knoblock. "Inaccuracies in digoxin measurement." Clinical Biochemistry 21, no. 6 (December 1988): 353–57. http://dx.doi.org/10.1016/s0009-9120(88)80016-x.
Full textGallagher, Frank W., and Sherman E. Fredrickson. "Meteorological pressure-sensor inaccuracies." Physics Teacher 38, no. 8 (November 2000): 466–69. http://dx.doi.org/10.1119/1.1329083.
Full textPonder, Carl, and Richard J. Fateman. "Inaccuracies in program profilers." Software: Practice and Experience 18, no. 5 (May 1988): 459–67. http://dx.doi.org/10.1002/spe.4380180506.
Full textDissertations / Theses on the topic "Inaccuracies"
Stormyrbakken, Christer. "Automatic compensation for inaccuracies in quadrature mixers." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/2334.
Full textIn an ideal software defined radio (SDR), all parameters are defined in software, which means the radio can be reconfigured to handle any communications standard. A major technical challenge that needs to be overcome before this SDR can be realised, is the design of an RF front end that can convert any digital signal to an analogue signal at any carrier frequency and vice versa. Quadrature mixing (QM) can be used to implement and analogue front end, that performs up and down conversion between the complex baseband centred around 0 Hz and the carrier frequency. By separating the tasks of frequency conversion and digital-to-analogue conversion, the latter can be performed at a much lower sample rate, greatly reducing the demands on the hardware. Furthermore, as QM can handle variable carrier frequency and signal bandwidth, this can be done without sacrificing reconfigurability. Using QM as an analogue front end may therefore be the solution to implementing SDR handsets.
Opolon, David C. (David Cyrille). "Improving product availability in hospitals : the role of inventory inaccuracies." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62868.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. [184]-193).
All players in the healthcare industry face increasing public and political pressure to improve quality of care and control costs. Hospitals, on the frontline of this challenge, face nursing shortages and financial constraints. Survey data indicate that missing medication and supplies interrupt nurses more than twice per shift, increasing costs and putting patients at risk. These challenges persist even though over 72% of U.S. hospitals have deployed Automated Dispensing Machines (ADMs), electronic cabinets that automate inventory management processes and improve product availability. This research investigates the role of inventory inaccuracies, i.e., mismatches between book inventory and physical inventory on hand, as drivers of product availability in hospitals. The research objectives are three-fold: (1) characterize the sources of inventory inaccuracies prevalent in a hospital context; (2) quantify the impact of inventory inaccuracies on product availability and performance metrics; and (3) identify and evaluate practical strategies that hospitals can use to improve product availability by reducing and mitigating inventory inaccuracies. This thesis views the hospital supply chain as a socio-technical system and addresses the research questions using a multilevel, multi-method approach. The research is empirically grounded by the case study of Lambda, a New England area hospital that provided qualitative and high-frequency transactional data from its network of 108 ADMs that stock over 21,000 product-location combinations. First, by classifying sources of inventory inaccuracies this thesis identifies Imperfect Demand Recording as a hospital-specific source of such inaccuracies. Recording Accuracy is proposed as a metric of user behavior at product and location levels, and reveals that between five and thirty percent of product usage is not recorded. Then, a single-product Discrete-Event Simulation (DES) model shows that Imperfect Demand Recording causes large reductions in availability unless mitigated by frequent and consistent (i.e., equally-spaced) inventory counts, and that service level estimates provided by ADMs can have a large, optimistic bias. Assuming that count timing is independent of inventory state, an analytical model provides a closed-form generalization of the simulation results and shows that variability in cycle count has a nonlinear and substantial effect, causing 35% of counts performed at Lambda to be ineffective. Finally, a sequential and iterative framework integrating the managerial implications of these contributions is proposed.
by David C. Opolon.
Ph.D.
McIndoo, Julie, Pooja Mehta, and Manasa Murthy. "Inaccuracies in the Second Season of the Medical Drama, House, MD." The University of Arizona, 2010. http://hdl.handle.net/10150/623788.
Full textOBJECTIVES: The purpose of this project was to analyze the accuracy of season two, episodes 13-‐24 of the popular medical drama, House, MD. METHODS: This study was a descriptive retrospective analysis of the second half of season two of House, MD. The accuracy of the presenting signs and symptoms, diagnosis, and treatment in each episode was rated on a scale of one to four. A rating of one described a correct and usual representation. A rating of two described a correct but somewhat unusual representation. A rating of three described a correct but extremely unusual representation. A rating of four described an incorrect representation. Each researcher independently rated the episodes, and then a collaborative rating was agreed upon by all researchers. RESULTS: Results of the ANOVA test demonstrated a statistically significant difference between the three dependent variables (p=0.003). The Tukey post-‐hoc test confirmed a significant difference between the accuracy of treatment when compared with signs and symptoms (p=0.003), and with diagnosis (p=0.022). The average rating for the treatment variable was 1.50 (±0.707), whereas the average ratings for the signs and symptoms and diagnosis variables were 2.80 (±0.919) and 2.50 (±0.707), respectively. CONCLUSIONS: The treatments presented in the last twelve episodes of season two of House, MD were more accurate than both the presenting signs and symptoms and the diagnosis.
Ball, Nicole, Tracy Nguyen, and Annie Walenga. "Inaccuracies in the Second Season of the Medical Drama, House, MD." The University of Arizona, 2009. http://hdl.handle.net/10150/623968.
Full textOBJECTIVES: The purpose of this work was to quantify the magnitude of factual inaccuracies in the first twelve episodes of the second season of the medical drama, House, MD. METHODS: This study was a descriptive retrospective evaluation of the first twelve episodes in the second season of the popular television show, House, MD. The degree of accuracy of the signs and symptoms (presentation), diagnosis, and treatment for the one major disease portrayed in each show was rated on a scale of one to four. Each researcher evaluated these ratings independently, and after subsequent collaborative discussion, a combined rating was determined for all the data. RESULTS: Both a three-way ANOVA and Kruskal-Wallis data analyses found significance among the data. The Tukey HSD post hoc test revealed a significant difference between the accuracy of signs and symptoms to treatment variables (p = 0.045). Analysis by the Mann-Whitney U test also determined that a significant difference was evident between the accuracy of signs and symptoms when compared with treatment (p = 0.022). CONCLUSIONS: The treatments presented in the twelve episodes evaluated were determined to be more accurate than the show's description of the patient's presenting signs and symptoms.
Schiefer, Jennifer, Alyssa Shanosky, and Sampson Tong. "Inaccuracies in the Third Season of the Medical Drama, House, MD." The University of Arizona, 2011. http://hdl.handle.net/10150/623529.
Full textOBJECTIVES: The purpose of this study is to assess the accuracy of the presentation, diagnostic procedures, and treatment of the main disease in each of the first twelve episodes of the third season of the medical drama House, MD. METHODS: The study is a descriptive retrospective evaluation of the first twelve episodes of season three of the medical drama House, MD. The accuracy of the clinical presentation, diagnostic procedures, and treatment in each episode was rated on a scale of one to four. A rating of one described a correct and usual representation. A rating of two described a correct but somewhat unusual representation. A rating of three described a correct but extremely unusual representation. A rating of four described an incorrect representation. Each of three researchers independently rated the episodes, and then the researchers agreed upon a collaborative rating for each category. RESULTS: Results of the ANOVA test did not show statistical significance between the three dependent variables (p = 0.25). Additionally, a Tukey HSD post-hoc test did not reveal a statistical significant difference between the ratings for the presentation, diagnosis, and treatment. CONCLUSION: In the first twelve episodes of season three of House, MD, there was no difference between the accuracy of the treatment and diagnosis when compared to the signs and symptoms of each episode.
Edgar, Christina Louise. "A study of the decay τ → π⁻ π⁻ π⁺ π⁰ π⁰ ν(τ) using the BaBar detector." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.496323.
Full textMyers, Seth Wanta Wayne. "A quantitative content analysis of errors and inaccuracies in Missouri newspaper information graphics." Diss., Columbia, Mo. : University of Missouri--Columbia, 2009. http://hdl.handle.net/10355/6570.
Full textSadough, Seyed Mohammad Sajad. "Ultra wideband OFDM systems : channel estimation and improved detection accounting for estimation inaccuracies." Paris 11, 2008. http://www.theses.fr/2008PA112001.
Full textThe aim of this thesis is to study the problem of iterative data detection in an ultra wideband (UWB) OFDM system, where the receiver disposes only of an imperfect (and possibly poor) estimate of the unknown channel parameters. First, we propose an efficient receiver jointly estimating the channel and the transmitted symbols in an iterative manner. This receiver is based on a wavelet representation of the unknown channel and exploits the sparseness property of UWB channels in the wavelet domain to reduce the receiver’s computational complexity. Second, we rely on the statistics characterizing the quality of the channel estimation as a mean to integrate the imperfect channel knowledge into the design of iterative receivers. In this way, we formulate an improved maximum likelihood (ML) detection metric taking into account the presence of channel estimation errors. A modified iterative MAP detector is derived by an appropriate use of this metric. The results are compared to those obtained by using the classical mismatched ML detector, which uses the channel estimate as if it was the perfect channel. Furthermore, we calculate the achieved throughputs associated to both improved and mismatched ML detectors, in terms of achievable outage rates. Finally, we propose an improved low-complexity iterative detector based on soft parallel interference cancellation and linear MMSE filtering where we takes into account the presence of channel estimation errors in the formulation of the detector. The important point is that the performance improvements reported in this thesis are obtained while imposing practically no additional complexity to the receiver
Wustrich, Andreas Rolf. "Enhancement of CNC controls to compensate the inaccuracies due to the working forces." Thesis, University of the West of Scotland, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.730023.
Full textCouvelis, Frank Alan. "Apparent water loss due to consumer meter inaccuracies in selected areas of South Africa." Master's thesis, University of Cape Town, 2012. http://hdl.handle.net/11427/14360.
Full textBooks on the topic "Inaccuracies"
Meyer, Jon'a. Inaccuracies in children's testimony: Memory, suggestibility, or obedience to authority? New York: Haworth Press, 1997.
Find full textWiggins, Susana E. de. 100 refranes, 100 verdades =: 100 proverbs, 100 truths. 100 incorrecciones, 100 rectificaciones = 100 inaccuracies, 100 corrections. [San Antonio, TX] (102 W. Rampart Dr., N207, San Antonio 78216): S.E. de Wiggins, 1997.
Find full textClaybourne, Zig Zag. Historical Inaccuracies. Narmer's Palette, 2013.
Find full textPallone, Letitia C., and Jon'A F. Meyer. Inaccuracies in Children's Testimony. Routledge, 2013. http://dx.doi.org/10.4324/9780203047095.
Full textContingency operations: DOD's reported costs contain significant inaccuracies : report to congressional requesters. Washington, D.C: The Office, 1996.
Find full textDi Ventra, Massimiliano. “Scientism”: Abusing the Scientific Method. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825623.003.0017.
Full textSantamaria, Andres. Diccionario De Incorrecciones, Particularidades Y Curiosidades Del Lenguaje/Dictionary of Inaccuracies, Peculiarities and Curiosities of Language. Paraninfo, 1985.
Find full textUSDA commodity forecasts: Inaccuracies found may lead to underestimates of budget outlays : report to the Honorable J. Robert Kerrey, U.S. Senate. Washington, D.C: The Office, 1991.
Find full textA critical and historical review of Fox's Book of martyrs: Shewing the inaccuracies, falsehoods, and misrepresentations in that work of deception. Whitefish, MT: Kessinger Publishing, 2010.
Find full textUSDA commodity forecasts: Inaccuracies found may lead to underestimates of budget outlays : report to the Honorable J. Robert Kerrey, U.S. Senate. Washington, D.C: The Office, 1991.
Find full textBook chapters on the topic "Inaccuracies"
Cernosek, Jan. "Inaccuracies of Photoelastic Measurements." In Applied Stress Analysis, 575–87. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0779-9_55.
Full textCunningham, M. J. "Measurement errors and instrument inaccuracies." In Instrumentation: A Reader, 171–83. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-2263-4_17.
Full textLachaume, Thomas, Patrick Girard, Laurent Guittet, and Allan Fousse. "Avoiding Inaccuracies in Task Models." In Lecture Notes in Computer Science, 498–509. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39510-4_46.
Full textSimpson, William R. "Diagnostic Inaccuracies: Approaches to Mitigate." In Frontiers in Electronic Testing, 1–16. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5545-2_1.
Full textSidpara, Ajay M., and Ganesh Malayath. "Different Machining Inaccuracies and Their Causes." In Micro Electro Discharge Machining, 207–21. Boca Raton, FL: CRC Press/Taylor & Francis Group, 2019. |: CRC Press, 2019. http://dx.doi.org/10.1201/9780429464782-8.
Full textBerechman, Joseph. "Inaccuracies in Cost and Demand Forecasts." In The Infrastructure We Ride On, 51–80. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74606-7_5.
Full textSlowack, Jürgen, Jozef Škorupa, Stefaan Mys, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, and Rik Van de Walle. "Compensating for Motion Estimation Inaccuracies in DVC." In Lecture Notes in Computer Science, 324–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13681-8_38.
Full textWiesner, Christian A., and Gudrun Klinker. "Overcoming Location Inaccuracies in Augmented Reality Navigation." In Lecture Notes in Computer Science, 377–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60922-5_29.
Full textMogadime, Dolana, Sherry Ramrattan Smith, and Alexis Scott. "The Problem of Fear Enhancing Inaccuracies of Representation." In Decolonizing Philosophies of Education, 113–30. Rotterdam: SensePublishers, 2012. http://dx.doi.org/10.1007/978-94-6091-687-8_8.
Full textGodau, Michael. "On the difficulty of embedding planar graphs with inaccuracies." In Graph Drawing, 254–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-58950-3_377.
Full textConference papers on the topic "Inaccuracies"
Woolley, Ronald L., Charles Y. Warner, and Melaney D. Tagg. "Inaccuracies in the CRASHS Program." In SAE International Congress and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1985. http://dx.doi.org/10.4271/850255.
Full textChambers, Ron, and Franklyn K. Levin. "Bandwidth reduction with location inaccuracies." In SEG Technical Program Expanded Abstracts 1995. Society of Exploration Geophysicists, 1995. http://dx.doi.org/10.1190/1.1887579.
Full textHammer, Jacob. "Tolerable Inaccuracies in Linear State Feedback." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282266.
Full textSzalai, S., A. Koppán, and L. Szarka. "Effect of Positional Inaccuracies on Multielectrode Results." In Near Surface 2007 - 13th EAGE European Meeting of Environmental and Engineering Geophysics. European Association of Geoscientists & Engineers, 2007. http://dx.doi.org/10.3997/2214-4609.20146646.
Full textRansome, Steve. "Modelling inaccuracies of PV energy yield simulations." In 2008 33rd IEEE Photovolatic Specialists Conference (PVSC). IEEE, 2008. http://dx.doi.org/10.1109/pvsc.2008.4922864.
Full textHolliday, Tony, and John A. Kay. "Inaccuracies introduced using infrared windows and cameras." In 2014 IEEE Petroleum and Chemical Industry Technical Conference (PCIC). IEEE, 2014. http://dx.doi.org/10.1109/pcicon.2014.6961918.
Full textLiao, Yuan. "State estimation algorithm considering effects of model inaccuracies." In Proceedings 2007 IEEE SoutheastCon. IEEE, 2007. http://dx.doi.org/10.1109/secon.2007.342943.
Full textVelychko, Dmitry A., and Iegor I. Vdovychenko. "Inaccuracies decrease in retransmission meter with homodyne conversion." In 2012 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting. IEEE, 2012. http://dx.doi.org/10.1109/aps.2012.6349057.
Full textModarresi, Mohammad, and Seyed Mohammad-Sajad Sadough. "Turbo-trellis coded modulation under channel estimation inaccuracies." In 2010 18th Iranian Conference on Electrical Engineering (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/iraniancee.2010.5507065.
Full textYi, Xin, Liqian Chen, Xiaoguang Mao, and Tao Ji. "Automated Repair of High Inaccuracies in Numerical Programs." In 2017 IEEE International Conference on Software Maintenance and Evolution (ICSME). IEEE, 2017. http://dx.doi.org/10.1109/icsme.2017.45.
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