Relevant bibliographies by topics / Sensitivity

Academic literature on the topic 'Sensitivity'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 June 2024

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Journal articles on the topic "Sensitivity"

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Popov, Alexander S. "Objectivization of Pain Sensitivity." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 4571–81. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020171.

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Norton, Peter J., and Katharine Sears Edwards. "Anxiety Sensitivity or Interoceptive Sensitivity." European Journal of Psychological Assessment 33, no. 1 (January 2017): 30–37. http://dx.doi.org/10.1027/1015-5759/a000269.

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Abstract. The construct of anxiety sensitivity (AS) – the fear of anxiety-related symptoms – has been highly influential in current conceptualizations of anxiety disorders in general, and panic disorder specifically. However, given documented associations between AS and both non-anxiety psychological disorders as well as medical/health conditions, the extent to which measures of AS are assessing a specific fear or anxiety symptoms versus a broader fear of interoceptive or bodily sensations is unclear. Confirmatory factor analysis of data from 373 participants failed to suggest whether fears of anxiety-related symptoms were factorially distinct from fears of non-anxiety-related bodily sensations, although analyses indicated that while fears of anxiety-related symptoms were more closely associated with panic disorder severity than were fears of non-anxiety-related symptoms, both were similarly and strongly associated with hypochondriacal fears. Implications for the construct of AS, and the broader construct of somatic fears, are discussed.
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Plümper, Thomas, and Richard Traunmüller. "The sensitivity of sensitivity analysis." Political Science Research and Methods 8, no. 1 (August 29, 2018): 149–59. http://dx.doi.org/10.1017/psrm.2018.30.

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AbstractThis article evaluates the reliability of sensitivity tests. Using Monte Carlo methods we show that, first, the definition of robustness exerts a large influence on the robustness of variables. Second and more importantly, our results also demonstrate that inferences based on sensitivity tests are most likely to be valid if determinants and confounders are almost uncorrelated and if the variables included in the true model exert a strong influence on outcomes. Third, no definition of robustness reliably avoids both false positives and false negatives. We find that for a wide variety of data-generating processes, rarely used definitions of robustness perform better than the frequently used model averaging rule suggested by Sala-i-Martin. Fourth, our results also suggest that Leamer’s extreme bounds analysis and Bayesian model averaging are extremely unlikely to generate false positives. Thus, if based on these inferential criteria a variable is robust, it is almost certain to belong into the empirical model. Fifth and finally, we also show that researchers should avoid drawing inferences based on lack of robustness.
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Morales, C. A. "Partition sensitivity for measurable maps." Mathematica Bohemica 138, no. 2 (2013): 133–48. http://dx.doi.org/10.21136/mb.2013.143286.

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Kenyon, Claire, and Samuel Kutin. "Sensitivity, block sensitivity, and ℓ-block sensitivity of boolean functions." Information and Computation 189, no. 1 (February 2004): 43–53. http://dx.doi.org/10.1016/j.ic.2002.12.001.

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Guest, Barbara. "Sensitivity." Chicago Review 43, no. 1 (1997): 75. http://dx.doi.org/10.2307/25304141.

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Wolff, Christian G. "Sensitivity." Primary Care Companion to The Journal of Clinical Psychiatry 08, no. 04 (August 15, 2006): 243. http://dx.doi.org/10.4088/pcc.v08n0409.

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Kondo, Tatsuhei, Kimio Wada, Miyako Kawashima, Yoshitaka Sato, and Masaji Yamauchi. "High-Sensitivity Antitumor Drug Sensitivity Testing." Oncology 51, no. 6 (1994): 535–39. http://dx.doi.org/10.1159/000227399.

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Heinonen-Guzejev, Marja, Markku Koskenvuo, Helena Mussalo-Rauhamaa, Heikki S. Vuorinen, Kauko Heikkilä, and Jaakko Kaprio. "Noise Sensitivity and Multiple Chemical Sensitivity." Noise & Vibration Worldwide 44, no. 11 (December 2013): 9–15. http://dx.doi.org/10.1260/0957-4565.44.11.9.

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Chocce, John, Donald A. Johnson, and Yossiri Yossatorn. "Predictive Factors of Freshmen’s Intercultural Sensitivity." International Journal of Information and Education Technology 5, no. 10 (2015): 778–82. http://dx.doi.org/10.7763/ijiet.2015.v5.610.

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Dissertations / Theses on the topic "Sensitivity"

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Clemente, Sánchez Ana. "Aesthetic Sensitivity." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2021. http://hdl.handle.net/10803/673506.

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[eng] Aesthetic sensitivity is a central idea in the field of empirical aesthetics. The present research contributes a historical-critical review of its origin and development through the history of the discipline, a new theoretical approach aligned with current knowledge, novel methodological tools to investigate this and other relevant psychological constructs, and empirical evidence based on this conception that advances scientific understanding of sensory valuation.
[spa] La sensibilidad estética es una idea central en el campo de la estética empírica. La presente investigación aporta una revisión histórico-crítica de su origen y desarrollo a través de la historia de la disciplina, un nuevo enfoque teórico de acuerdo con los conocimientos actuales, novedosas herramientas metodológicas para investigar éste y otros constructos psicológicos relevantes, y evidencia empírica basada en esta concepción que avanza la comprensión científica de la valoración sensorial.
[cat] La sensibilitat estètica és una idea central en el camp de l'estètica empírica. La present investigació aporta una revisió històric-crítica del seu origen i desenvolupament a través de la història de la disciplina, un nou enfocament teòric alineat amb els coneixements actuals, noves eines metodològiques per investigar aquest i altres constructes psicològics rellevants, i evidència empírica basada en aquesta concepció que avança la comprensió científica de la valoració sensorial.
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Holloway, Alan James. "High-sensitivity interferometry." Thesis, Loughborough University, 1991. https://dspace.lboro.ac.uk/2134/32721.

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High-sensitivity interferometric techniques are considered for non-destructive testing applications. The methods enable quantitative measurement of optical path variations, resulting from dynamic changes within the test object.
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Welch, Jan. "Low sensitivity energetic materials." Diss., kostenfrei, 2008. http://edoc.ub.uni-muenchen.de/8495/.

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McKane, W. Roland. "Insulin sensitivity in hypertriglyceridaemia." Thesis, Queen's University Belfast, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334470.

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Webster, Judith Margaret. "Insulin sensitivity in muscle." Thesis, University of Newcastle Upon Tyne, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260957.

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Torney, Keri Rebecca. "Cytokinin Sensitivity in Arabidopsis." Thesis, University of Cambridge, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624484.

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Narayanan, Soundararajan Hari. "Torque transducer sensitivity study." Thesis, KTH, Maskinkonstruktion (Inst.), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183048.

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A torque transducer or a torque sensor is a device for measuring and recording the torque on a rotating system. Torque transducers usually employ strain gauges to measure the torsional moment applied to a rotating shaft.It is to be noted that for an ideal torque transducer, it should measure only the strain that is caused by a torque. Strain due to bending load should be compensated as per the Wheatstone bridge arrangement. However, because of geometrical tolerances and assembly errors, the compensation doesn’t occur and the measured strain is a resultant of bending loads and axial loads which are undesired to measure the torque associated with the system. An analytical formulation has been developed using Matlab and this thesis gives the generalized indication of the strain due to all the associated loads. The user shall also entire the region where the strain needs to be computed and this knowledge can be useful for placing the strain gauges in the shaft accordingly. Initially, the formulation is based on a standard Torque Transducer used at Atlas Copco and then, a generalized result has been developed. The theoretical formulation is verified using the ProEngineer Mechanica software. The end user shall enter the different loads (if any) along with the geometrical tolerance values and the output will be an indication of the strain at point, strain at a region and sensitivity. The main intention of the thesis is to create a better understanding of the strain associated with the twisting, bending and axial loads and also the geometrical imperfections. The user can also make a decision on the location of strain gauges on a shaft for maximum accuracy. Finally, the differences in error from different possible configurations are compared and a conclusion has been made based on factorial design pertaining to design of experiments.
Momentgivare är små sensorer som används för att mäta och registrera vridmomentet på en roterande axel. Momentgivare baseras vanligtvis på trådtöjningsmätare för att mäta vridmomentetet kring axeln de är fixerade på. Det skall noteras att en ideal momentgivare endast bör mäta den yttöjning som uppkommer på grund av ett vridmoment. Den belastning som uppkommer på grund av axelns böjning kompenseras bort med hjälp av en Wheatstonebrygga. Men på grund av geometriska toleranser och monteringsfel kan kompensationen bli felaktig och då påverkas det uppmätta momentet även av böj och axialbelastningar vilket är oönskat. En analytisk modell har utvecklats med hjälp av Matlab och denna rapport undersöker de olika lastfallens bidrag till momentfelet. Användaren kan ange området där yttöjningen skall beräknas och utifrån de beräkningarna bestämma var trådtöjningsgivarna bör placeras. Inledningsvis är beräkningarna baserade på en av Atlas Copcos momentgivare och sedan har generaliserade resultat utvecklats. De teoretiska beräkningarna verifieras med hjälp av programmet ProEngineer Mechanica. Användaren kan ange vilka belastningar som axeln känner samt de geometriska toleransvärdena och modellen beräknar då ytspänningen för den valda regionen. Det huvudsakliga syftet med denna avhandling är att skapa en bättre förståelse av ytspänningen som uppkommer på grund av vridning, böjning och axiella belastningar och även geometriska imperfektioner. Modellen kan också användas för att göra beräkningar som visar var töjningsgivare bör placeras på axeln för maximal precision. Slutligen har de introducerade felet från de olika möjliga konfigurationerna jämförts och en slutsats har dragits baserat på faktorförsök.
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Wan, Din Wan Ibrahim. "Sensitivity analysis intolerance allocation." Thesis, Queen's University Belfast, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.675480.

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In Computer Aided Design model the shape is usually defined as a boundary representation, a cell complex of faces, edges, and vertices. The boundary representation is generated from a system of geometric constraints, with parameters as degrees of freedom. The dimensions of the boundary representation are determined by the parameters in the CAD system used to model the part, and every single parametric perturbation may generate different changes in the part model shape and dimensions. Thus, one can compute dimensional sensitivity to parameter perturbations. A "Sensitivity Analysis" method is proposed to automatically quantify the dependencies of the Key Characteristic dimensions on each of the feature parameters in a CAD model. Once the sensitivities of the feature parameters to Key Characteristic dimensions have been determined the appropriate perturbations of each parameter to cause a desired change in critical dimension can be determined. This methodology is then applied to real applications of tolerancing in mechanical assembly models to show the efficiencies of this new developed strategy. The approach can identify where specific tolerances need to be applied to a Key Control Characteristic dimension, the range of part tolerances that could be used to achieve the desired Key Product Characteristic dimension tolerances, and also if existing part tolerances make it impossible to achieve the desired Key Product Characteristic dimension tolerances. This thesis provides an explanation of a novel automated tolerance allocation process for an assembly model based on the parametric CAD sensitivity method. The objective of this research is to expose the relationship between parameters sensitivity of CAD design in mechanical assembly product and tolerance design. This exposes potential new avenues of research in how to develop standard process and methodology for geometrical dimensioning and tolerancing (GD&T) in a digital design tools environment known as Digital MockUp (DMU).
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Munster, Drayton William. "Sensitivity Enhanced Model Reduction." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23169.

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In this study, we numerically explore methods of coupling sensitivity analysis to the reduced model in order to increase the accuracy of a proper orthogonal decomposition (POD) basis across a wider range of parameters. Various techniques based on polynomial interpolation and basis alteration are compared. These techniques are performed on a 1-dimensional reaction-diffusion equation and 2-dimensional incompressible Navier-Stokes equations solved using the finite element method (FEM) as the full scale model. The expanded model formed by expanding the POD basis with the orthonormalized basis sensitivity vectors achieves the best mixture of accuracy and computational efficiency among the methods compared.
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Gillett, Helen Rachel. "Studies of gluten sensitivity." Thesis, University of Edinburgh, 1997. http://hdl.handle.net/1842/21260.

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Coeliac disease is defined as a permanent gluten sensitive enteropathy. The classical mucosal lesion is of villous atrophy, crypt hypertrophy and lymphocyte infiltration of the epithelium. It is now generally agreed that a spectrum of mucosal damage exits ranging from total villous atrophy to normal villous architecture with increased numbers of intraepithelial lymphocytes (IEL). Gluten sensitivity can still be demonstrated in this minimal lesion, with the IEL count falling with withdrawal of gluten and rising again on gluten challenge. In the first part of this thesis I will present work validating computerised image analysis as a method for quantifying IEL in small bowel biopsy in order to identify individuals with minimal change given gluten sensitive pathology. Antibodies to the gliadin fraction of gluten and also to an as yet unidentified tissue antigen occur in coeliac disease. These antibodies are useful in the initial diagnosis of coeliac disease as well as in monitoring response to treatment and timing of biopsy following oral gluten challenge. They are also used in the screening of individuals who have a higher incidence of coeliac disease. In the next section of my thesis I will describe the development of a newly described assay for antiendomysium antibody both for research and also for the routine NHS clinical service in Lothian. Progress in the application of strict criteria for the diagnosis of gluten sensitivity has been hampered by the fact that currently the only evidence is based on clinical and pathological effects of gluten withdrawal and challenge which may take several months or years and requires multiple invasive small bowel biopsies. For this reason rectal challenge with gluten is being considered as a possible alliterative method for demonstrating gluten sensitivity. Currently this requires computerised image analysis of multiple rectal biopsies.
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Books on the topic "Sensitivity"

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G, Thomas David S., and Allison R. J, eds. Landscape sensitivity. Chichester: Wiley, 1993.

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Toufic, Jalal. Over-sensitivity. Los Angeles: Sun & Moon Press, 1996.

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Harter, Cordula. Gluten Sensitivity. Wiesbaden: Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32657-9.

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Borgonovo, Emanuele. Sensitivity Analysis. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52259-3.

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Morgan, Shetha Rozanne. Gluten sensitivity. Manchester: University of Manchester, 1996.

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National Institute of Environmental Health Sciences, ed. Chemical sensitivity. Research Triangle Park, NC: National Institutes of Health, National Institute of Environmental Health Sciences, 1997.

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Chemical sensitivity. Boca Raton [Fla.]: Lewis Publishers, 1992.

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1946-, Crenshaw Harry M., ed. Interpersonal sensitivity. Larchmont, NY: Eye on Education, 1997.

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M, Shapley R., and Lam Dominic Man-Kit, eds. Contrast sensitivity. Cambridge, Mass: MIT Press, 1993.

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Rea, William J. Chemical sensitivity. Boca Raton: Lewis, 1994.

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Book chapters on the topic "Sensitivity"

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Gaskins, Kelsey, and Steven M. Dunn. "Sensitivity." In Encyclopedia of Personality and Individual Differences, 4837–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1907.

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Waters, Allan. "Sensitivity." In Active Filter Design, 142–52. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-21311-5_8.

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Walker, R. Craig. "Sensitivity." In Very Long Baseline Interferometry, 163–82. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2428-4_9.

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Lange, Rael T. "Sensitivity." In Encyclopedia of Clinical Neuropsychology, 2256. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-0-387-79948-3_1245.

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Su, Kendall. "Sensitivity." In Analog Filters, 171–86. New York, NY: Springer US, 2002. http://dx.doi.org/10.1007/0-306-47953-2_8.

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Nahler, Gerhard. "sensitivity." In Dictionary of Pharmaceutical Medicine, 167–68. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1275.

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Lange, Rael T. "Sensitivity." In Encyclopedia of Clinical Neuropsychology, 1–2. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56782-2_1245-2.

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Lange, Rael T. "Sensitivity." In Encyclopedia of Clinical Neuropsychology, 3139–40. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57111-9_1245.

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Służalec, Andrzej. "Sensitivity." In Theory of Metal Forming Plasticity, 171–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-10449-1_13.

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Martin, Eric, Samuel Kaski, Fei Zheng, Geoffrey I. Webb, Xiaojin Zhu, Ion Muslea, Kai Ming Ting, et al. "Sensitivity." In Encyclopedia of Machine Learning, 901. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_751.

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Conference papers on the topic "Sensitivity"

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Yan, W., R. R. Bitmead, and B. D. O. Anderson. "Design problems for sensitivity and complementary sensitivity." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.204059.

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Escher, Bruno M. "Quantum Sensitivity." In Quantum Information and Measurement. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/qim.2013.w6.31.

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Goldberg, Ken. "Sensitivity analysis." In the 14th annual ACM international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1180639.1180650.

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Eskew, R. T., C. F. Stromeyer, A. Chaparro, and R. E. Kronauer. "Why is chromatic sensitivity greater than luminance sensitivity?" In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.ms3.

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At ARVO 1992, we reported that when detection thresholds for luminance and red–green chromatic spots are expressed in cone contrast energy (the space–time integral of the squared contrast produced in either the L or M cones), sensitivity for the optimal chromatic spot was 5–8× higher than for the optimal luminance spot. For an ideal observer of chromatic signals, the noise level in P ganglion cells would not be limiting, suggesting that limits are imposed at subsequent stages. The large chromatic sensitivity advantage could result from (a) lower detection uncertainty in the red–green mechanism; (b) common mode rejection (removal of correlated noise) in the opponent pathway; (c) reductions in luminance gain, relative to chromatic gain, at cortical levels; or (d) greater spatial and temporal integration in the chromatic pathway.
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Tsukamoto, Takashiro, Roman Forke, Sebastian Weidlich, Daniel Bülz, Alexey Shaporin, Karla Hiller, and Shuji Tanaka. "High Sensitivity Mode-Localized Ring Resonator With Tunable Sensitivity." In 2024 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL). IEEE, 2024. http://dx.doi.org/10.1109/inertial60399.2024.10502114.

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Tang, Lingjia, Jason Mars, and Mary Lou Soffa. "Contentiousness vs. sensitivity." In the 1st International Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2000417.2000419.

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Tschirhart, R. S. "The Sensitivity Frontier." In Physics in Collision 19. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789812792648_0021.

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Lang, Charles, Charlotte Woo, and Jeanne Sinclair. "Quantifying data sensitivity." In LAK '20: 10th International Conference on Learning Analytics and Knowledge. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3375462.3375506.

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Schlueter, Jonathan, Yi L. Murphey, John W. V. Miller, Malayappan Shridhar, Yun Luo, and Farid Khairallah. "Camera sensitivity study." In Optics East, edited by Kevin G. Harding. SPIE, 2004. http://dx.doi.org/10.1117/12.580522.

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Adams, William. "ANP ROW SENSITIVITY." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2011. http://dx.doi.org/10.13033/isahp.y2011.074.

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Reports on the topic "Sensitivity"

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Brodsky, J. P. Sensitivity, Recalculated. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1358314.

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Harder, Matthew Steven. Sensitivity Analysis using Continuous Sensitivity Equation Method (CSE). Office of Scientific and Technical Information (OSTI), July 2018. http://dx.doi.org/10.2172/1463456.

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Lombardi, D. D2PC sensitivity analysis. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/7271811.

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Van Buren, Rachel. Railcar Sensitivity Analysis. Fort Belvoir, VA: Defense Technical Information Center, November 2011. http://dx.doi.org/10.21236/ada565001.

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Lehoucq, Richard, Brian Franke, Stephen Bond, and Scott McKinley. Particle Sensitivity Analysis. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1669202.

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Lombardi, D. D2PC sensitivity analysis. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/10174720.

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Alwin, Jennifer, Alexander Clark, Theresa Cutler, Michael Grosskopf, Wim Haeck, Michal Herman, Jesson Hutchinson, et al. EUCLID Sensitivity Database. Office of Scientific and Technical Information (OSTI), February 2022. http://dx.doi.org/10.2172/1846880.

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Sheinberg, Darren, and Timothy C. Smith. Combatant Seakeeping Sensitivity Study. Fort Belvoir, VA: Defense Technical Information Center, December 2001. http://dx.doi.org/10.21236/ada398870.

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Ahrens L. Booster Loss Monitor Sensitivity. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/1132425.

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Canavan, G. H. Sensitivity to attack preferences. Office of Scientific and Technical Information (OSTI), April 1997. http://dx.doi.org/10.2172/501500.

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