Academic literature on the topic 'Eye-hand coordination'

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Journal articles on the topic "Eye-hand coordination"

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Carey, David P. "Eye–hand coordination: Eye to hand or hand to eye?" Current Biology 10, no. 11 (June 2000): R416—R419. http://dx.doi.org/10.1016/s0960-9822(00)00508-x.

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Yau, Wei-Yun, and HAN WANG. "Robust hand-eye coordination." Advanced Robotics 11, no. 1 (January 1996): 57–73. http://dx.doi.org/10.1163/156855397x00047.

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Hollinghurst, Nicholas, and Roberto Cipolla. "Uncalibrated stereo hand-eye coordination." Image and Vision Computing 12, no. 3 (April 1994): 187–92. http://dx.doi.org/10.1016/0262-8856(94)90071-x.

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Lee, Ki-Seok. "Effect of Artificially Decreased Visual Acuity upon Eye-Hand Coordination using Lee-Ryan Eye-Hand Coordination Test." Journal of Korean Ophthalmic Optics Society 19, no. 3 (September 30, 2014): 371–76. http://dx.doi.org/10.14479/jkoos.2014.19.3.371.

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Inhoff, Albrecht W., and Andrew M. Gordon. "Eye Movements and Eye-Hand Coordination During Typing." Current Directions in Psychological Science 6, no. 6 (December 1997): 153–57. http://dx.doi.org/10.1111/1467-8721.ep10772929.

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Ellison, PH, PE Kearney, SA Sparks, PN Murphy, and DC Marchant. "Further evidence against eye–hand coordination as a general ability." International Journal of Sports Science & Coaching 13, no. 5 (December 7, 2017): 687–93. http://dx.doi.org/10.1177/1747954117747132.

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A number of companies are marketing general eye–hand coordination training devices, which are purported to enhance performance on the device and in a sporting domain. An act comprising eye–hand coordination involves the complex combination of a number of distinct functions, and an investigation of what tasks share this common factor has not been completed. There is also a lack of evidence investigating the interrelationship between different tests to assess eye–hand coordination using these devices. A number of different eye–hand coordination abilities, rather than one common factor, could potentially underpin any range of tasks involving eye–hand coordination and visual stimuli. Therefore, the present study investigated the theoretical assumption upon which such eye–hand coordination training devices are based, that is, whether eye–hand coordination is a general ability. Eighty-seven currently active sportspeople (age: 18.6 ± 0.9 years; 58 males and 29 females) completed four tests of eye–hand coordination: three laboratory tasks (the Sports Vision Trainer™; Batak Pro™; and Graded Pegboard) and a field task (wall catch test). Intercorrelations between the tasks ranged from weak to strong, but the percentage of shared variance was typically low. Overall, the results do not support the existence of a common eye–hand coordination ability underpinning the performance on general eye–hand coordination training devices. Consequently, coaches and sport scientists should be aware that training on general eye–hand coordination training devices is unlikely to transfer to sporting performances. Instead, practitioners are encouraged to explore sport-specific assessment and training of eye–hand coordination.
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INABA, Masayuki, and Hirochika INOUE. "Hand eye coordination in rope handling." Journal of the Robotics Society of Japan 3, no. 6 (1985): 538–47. http://dx.doi.org/10.7210/jrsj.3.538.

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Yu, Chen, and Linda B. Smith. "Hand-Eye Coordination Predicts Joint Attention." Child Development 88, no. 6 (February 10, 2017): 2060–78. http://dx.doi.org/10.1111/cdev.12730.

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Hill, Liam J. B., Peter R. Culmer, and Mark Mon-Williams. "Lags in measuring eye–hand coordination." Journal of Neuroscience Methods 232 (July 2014): 150–51. http://dx.doi.org/10.1016/j.jneumeth.2014.05.016.

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Crawford, J. D., W. P. Medendorp, and J. J. Marotta. "Spatial Transformations for Eye–Hand Coordination." Journal of Neurophysiology 92, no. 1 (July 2004): 10–19. http://dx.doi.org/10.1152/jn.00117.2004.

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Eye–hand coordination is complex because it involves the visual guidance of both the eyes and hands, while simultaneously using eye movements to optimize vision. Since only hand motion directly affects the external world, eye movements are the slave in this system. This eye– hand visuomotor system incorporates closed-loop visual feedback but here we focus on early feedforward mechanisms that allow primates to make spatially accurate reaches. First, we consider how the parietal cortex might store and update gaze-centered representations of reach targets during a sequence of gaze shifts and fixations. Recent evidence suggests that such representations might be compared with hand position signals within this early gaze-centered frame. However, the resulting motor error commands cannot be treated independently of their frame of origin or the frame of their destined motor command. Behavioral experiments show that the brain deals with the nonlinear aspects of such reference frame transformations, and incorporates internal models of the complex linkage geometry of the eye–head–shoulder system. These transformations are modeled as a series of vector displacement commands, rotated by eye and head orientation, and implemented between parietal and frontal cortex through efficient parallel neuronal architectures. Finally, we consider how this reach system might interact with the visually guided grasp system through both parallel and coordinated neural algorithms.
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Dissertations / Theses on the topic "Eye-hand coordination"

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Leong, Jit Hung Julian John. "Hand Eye Coordination in Surgery." Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505309.

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Hollinghurst, Nicholas John. "Uncalibrated stereo and hand-eye coordination." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627151.

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Olson, Stephanie T. "Human-Inspired Robotic Hand-Eye Coordination." Thesis, Florida Atlantic University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10928904.

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My thesis covers the design and fabrication of novel humanoid robotic eyes and the process of interfacing them with the industry robot, Baxter. The mechanism can reach a maximum saccade velocity comparable to that of human eyes. Unlike current robotic eye designs, these eyes have independent left-right and up-down gaze movements achieved using a servo and DC motor, respectively. A potentiometer and rotary encoder enable closed-loop control. An Arduino board and motor driver control the assembly. The motor requires a 12V power source, and all other components are powered through the Arduino from a PC.

Hand-eye coordination research influenced how the eyes were programmed to move relative to Baxter’s grippers. Different modes were coded to adjust eye movement based on the durability of what Baxter is handling. Tests were performed on a component level as well as on the full assembly to prove functionality.

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Sailer, Uta. "Eye-Hand Coordination in Time and Space." Diss., lmu, 2003. http://nbn-resolving.de/urn:nbn:de:bvb:19-9505.

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Bekkering, Harold. "Eye-hand coordination: cooperative and competitive systems?" Maastricht : Maastricht : Rijksuniversiteit Limburg ; University Library, Maastricht University [Host], 1995. http://arno.unimaas.nl/show.cgi?fid=6642.

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Hagan, Maureen Ann. "Eye-hand coordination in the Posterior Parietal Cortex." Thesis, New York University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3591235.

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Everyday activities like reaching for our morning coffee depend on a well-orchestrated coupling of where we look with our eyes and where we reach with our hand. Over a century of research has contributed to our understanding of how saccadic eye movements occur in concert with arm and hand movements. The onset and acceleration of hand movements occur at reliable times with respect to the saccade, suggesting common or inter-related control mechanisms.

Despite the wealth of behavioral literature, little is known about how brain computes the necessary transformations to link coordinated eye-hand movements. Situated in the dorsal stream of the visual system, the PPC has a well-established role in visually-guided behavior and is critical for the coordination of visual behavior. Damage to the PPC gives rise to sensory-motor deficits such as optic ataxia, the inability to accurately reach to visually presented targets. Within the PPC, area LIP sits has a well-established role in guiding saccadic eye movements. The PRR has been studied for its role in visually-guided reaches.

To test whether the neural activity in the PPC was modulated by coordinated reach and saccade activity, we trained two subjects to perform a series of tasks involving coordinated reaches and saccades and saccades made alone. While subjects performed these tasks, we took simultaneous neural recordings from area LIP and the PRR. We find that coordination significantly changes the activity of individual neurons in area LIP, increasing or decreasing the firing rate when a reach is made with a saccade compared with when a saccade is made alone. Neurons with suppressed firing rates during a coordinated reach and saccade task have higher local SFC within area LIP and neurons with elevated firing rates have higher SFC with the PRR. Neurons with local SFC within area LIP and the LFP in the PPC predict the reaction times of coordinated reaches and saccades. Finally, saccades made immediately after reach completion have longer latencies and the neural activity in area LIP is suppressed. Together, the results make a case for area LIP and the PRR as participants in the network that mediates coordinated eye-hand behaviors.

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Qian, Yifei. "A study on dynamic pursuit of moving objects with hand-eye coordination." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/18850.

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Monteiro, e. Lima Margareth de Vasconcelos. "Eye-hand co-ordination in children with movement problems." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326711.

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Otte, Ellen. "Transfer of adaptation across movement categories in eye hand coordination /." kostenfrei, 2008. http://nbn-resolving.de/urn:nbn:de:hbz:294-26534.

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Desanghere, Loni. "Gaze strategies in perception and action." Experimental Brain Research, 2011. http://hdl.handle.net/1993/17898.

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When you want to pick up an object, it is usually a simple matter to reach out to its location, and accurately pick it up. Almost every action in such a sequence is guided and checked by vision, with eye movements usually preceding motor actions (Hayhoe & Ballard, 2005; Hayhoe, Shrivastava, Mruczek, & Pelz, 2003). However, most research in this area has been concerned about the sequence of movements in complex “everyday” tasks like making tea or tool use. Less emphasis has been placed on the object itself and where on it the eye and hand movements land, and how gaze behaviour is different when generating a perceptual response to that same object. For those studies that have, very basic geometric shapes have been used such as rectangles, crosses and triangles. In everyday life, however, there are a range of problems that must be computed that go beyond such simple objects. Objects typically have complex contours, different textures or surface properties, and variations in their centre of mass. Accordingly, the primary goals in conducting this research were three fold: (1) To provide a deeper understanding of the function of gaze in perception and action when interacting with simple and complex objects (Experiments 1a, 1b, 1c); (2) To examine how gaze and grasp behaviours are influenced when you dissociate important features of an object such as the COM and the horizontal centre of the block (Experiments 2a, 2c); and (3) To explore whether perceptual biases will influence grasp and gaze behaviours (Experiment 2b). The results from the current series of studies showed the influence of action (i.e., the potential to act) on perception in terms of where we look on an object, and vice versa, the influence of perceptual biases on action output (i.e. grasp locations). In addition, grasp locations were found to be less sensitive to COM changes than previously suggested (for example see Kleinholdermann, Brenner, Franz, & Smeets, 2007), whereas fixation locations were drawn towards the ‘visual’ COM of objects, as shown in other perceptual studies (for example see He & Kowler, 1991; Kowler & Blaser, 1995; McGowan, Kowler, Sharma, & Chubb, 1998; Melcher & Kowler, 1999; Vishwanath & Kowler, 2003, 2004; Vishwanath, Kowler, & Feldman, 2000), even when a motor response was required. The implications of these results in terms of vision for Perception and vision for Action are discussed.
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Books on the topic "Eye-hand coordination"

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Chantal, Bard, Fleury Michelle 1938-, and Hay Laurette, eds. Development of eye-hand coordination across the life span. Columbia, S.C: University of South Carolina Press, 1990.

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Land, Michael F. Looking and acting: Vision and eye movements in natural behaviour. Oxford: Oxford University Press, 2009.

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W, Tatler Benjamin, ed. Looking and acting: Vision and eye movements in natural behaviour. Oxford: Oxford University Press, 2009.

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Ng, Jessica R. How gender, spatial ability, and eye-hand coordination correlate with performance on video games. Sudbury, Ont: Laurentian University, Department of Psychology, 1994.

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B, Barlow H., ed. Natural and artificial low-level seeing systems: Proceedings of a Royal Society Discussion Meeting held on 25 and 26 March 1992. Oxford: Royal Society, 1993.

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O'Banion, Nancy A. The effects of controlled video game playing experience on the eye-hand coordination and reaction time of second grade children. Eugene: Microform Publications, College of Human Development and Performance, University of Oregon, 1985.

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Etingoff, Kim. Hand-Eye Coordination. Mason Crest, 2014.

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Hand-Eye Coordination (Junior Martial Arts). Mason Crest, an Imprint of National Highlights Inc, 2013.

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The relationship among eye movements, head movements, and manual responses in a simulated air traffic control task: Final report. Washington, D.C: U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 1995.

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Coordination: Catch, shoot, and throw better. Chicago: Heinemann Library, 2012.

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Book chapters on the topic "Eye-hand coordination"

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Sander, Jana. "Eye–Hand Coordination." In Encyclopedia of Child Behavior and Development, 629. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_1083.

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Lijin, Zhang. "Development of Eye-Hand Coordination." In The ECPH Encyclopedia of Psychology, 1. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_736-1.

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Groen, F. C. A., B. J. A. Kröse, P. P. van der Smagt, M. G. P. Bartholomeus, and A. J. Noest. "Neural Networks for Robot Eye-Hand Coordination." In ICANN ’93, 211–18. London: Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-2063-6_50.

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Hall, Theodore W. "Hand-Eye Coordination in Desktop Virtual Reality." In CAAD futures 1997, 177–82. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5576-2_13.

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Shi, Yongjie, Zhiguo Yan, Hao Ge, and Lin Mei. "Visual Objects Location Based on Hand Eye Coordination." In Lecture Notes in Electrical Engineering, 403–8. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55038-6_62.

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Hu, Lin, Fei Chao, Min Jiang, MingHui Shi, and Pan Wang. "A Developmental Approach to Robotic 3D Hand-Eye Coordination." In Advances in Intelligent and Soft Computing, 361–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27951-5_54.

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Yu, Chen, and Dana H. Ballard. "Understanding Human Behaviors Based on Eye-Head-Hand Coordination." In Biologically Motivated Computer Vision, 611–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36181-2_61.

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Wang, Lijun, Tianyu Cao, Jiaxuan Yan, and Ningxi Liu. "Manipulator Calibration-Free Hand-Eye Coordination Based on ADRC Under Eye Fixation." In Lecture Notes in Electrical Engineering, 270–77. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8450-3_29.

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Cardia da Cruz, Leonardo, César A. Sierra-Franco, Greis Francy M. Silva-Calpa, and Alberto Barbosa Raposo. "A Self-adaptive Serious Game for Eye-Hand Coordination Training." In Lecture Notes in Computer Science, 385–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50164-8_28.

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Su, Jianbo. "Performance Analysis of Neural Network-Based Uncalibrated Hand-Eye Coordination." In Advances in Neural Networks – ISNN 2005, 222–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11427469_35.

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Conference papers on the topic "Eye-hand coordination"

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Hollinghurst, Nicholas, and Roberto Cipolla. "Uncalibrated Stereo Hand-Eye Coordination." In British Machine Vision Conference 1993. British Machine Vision Association, 1993. http://dx.doi.org/10.5244/c.7.39.

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Graf and LaLonde. "Neuroplanners for hand/eye coordination." In International Joint Conference on Neural Networks. IEEE, 1989. http://dx.doi.org/10.1109/ijcnn.1989.118296.

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Hayhoe, Mary M., Dana H. Ballard, Steven D. Whitehead, and Jeff B. Pelz. "Memory use during hand-eye coordination." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/oam.1993.wj.4.

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Smith, Barton A., Janet Ho, Wendy Ark, and Shumin Zhai. "Hand eye coordination patterns in target selection." In the symposium. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/355017.355041.

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Allen, Peter K., Billibon Yoshimi, Alexander Timcenko, and Paul Michelman. "Hand-eye coordination for grasping moving objects." In Fibers '91, Boston, MA, edited by Paul S. Schenker. SPIE, 1991. http://dx.doi.org/10.1117/12.25255.

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Beale, D., P. Iravani, and P. Hall. "Statistical visual-dynamic model for hand-eye coordination." In 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iros.2010.5648832.

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Bishay, Magued, R. Alan Peters, Don M. Wilkes, and Kazuhiko Kawamura. "Hand-eye coordination with an active camera head." In Intelligent Systems & Advanced Manufacturing, edited by David P. Casasent. SPIE, 1997. http://dx.doi.org/10.1117/12.290312.

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López, Francisco M., Bertram E. Shi, and Jochen Triesch. "Eye-Hand Coordination Develops from Active Multimodal Compression." In 2023 IEEE International Conference on Development and Learning (ICDL). IEEE, 2023. http://dx.doi.org/10.1109/icdl55364.2023.10364414.

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Herve, J. Y. "Hand/eye coordination: role of the active observer." In Proceedings of 13th International Conference on Pattern Recognition. IEEE, 1996. http://dx.doi.org/10.1109/icpr.1996.546036.

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Xiang, Zhenzhen, Jianbo Su, and Zhe Ma. "Uncalibrated hand-eye coordination based HRI on humanoid robot." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6896416.

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Reports on the topic "Eye-hand coordination"

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Georgopoulos, Apostolos P. Mechanisms of Eye-Hand Coordination. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada273687.

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