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Improvements in Disruption Prediction at ASDEX Upgrade
Fusion Engineering and Design, 2015 Abstract In large-scale tokamaks disruptions have the potential to create serious damage to the facility. Hence disruptions must be avoided, but, when a disruption is unavoidable, minimizing its severity is mandatory. A reliable detection of a disruptive event is required to trigger proper mitigation actions.
Giuliana Sias +2 more
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A Locked Mode Indicator for Disruption Prediction on JET and ASDEX Upgrade [PDF]
Fusion Engineering and Design, 2019 The aim of this paper is to present a signal processing algorithm that, applied to the raw Locked Mode signal, allows us to obtain a disruption indicator in principle exploitable on different tokamaks.
Alessandra Fanni +2 more
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Predictability and Disruption of Spontaneous Speech
Language and Speech, 1966Three experiments were conducted to test the general hypothesis that disrupted spontaneous speech is less predictable than fluent speech. Predictability was estimated by means of the Cloze procedure and disruption by Mahl's non- ah speech disturbance ratio. The hypothesis was not confirmed.
S, Feldstein, C, Rogalski, J, Jaffe
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Demystifying Disruption: A New Model for Understanding and Predicting Disruptive Technologies
Marketing Science, 2010The failure of firms in the face of technological change has been a topic of intense research and debate, spawning the theory (among others) of disruptive technologies. However, the theory suffers from circular definitions, inadequate empirical evidence, and lack of a predictive model. We develop a new schema to address these limitations.
Ashish Sood, Gerard J. Tellis
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Impact of Railway Disruption Predictions and Rescheduling on Passenger Delays
Journal of Rail Transport Planning and Management, 2018 Abstract Disruptions such as rolling stock breakdown, signal failures, and accidents are recurrent events during daily railway operation. Such events disrupt the deployment of resources and cause delay to passengers. Obtaining a reliable disruption length estimation can potentially reduce the negative impact caused by the disruption.
Nadjla Ghaemi, Rob M P Goverde, Fei Yan
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Predicting Structural Disruption of Proteins Caused by Crossover
2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005We present a machine learning model that predicts a structural disruption score from a protein s primary structure. SCHEMA was introduced by Frances Arnold and colleagues as a method for determining putative recombination sites of a protein on the basis of the full (PDB) description of its structure. The present method provides an alternative to SCHEMA
Bauer, Denis +3 more
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Disruption of embryonic vascular development in predictive toxicology
Birth Defects Research Part C: Embryo Today: Reviews, 2011AbstractToxicity testing in the 21st century is moving toward using highâthroughput screening assays to rapidly test thousands of chemicals against hundreds of molecular targets and biological pathways, and to provide mechanistic information on chemical effects in human cells and small model organisms.
Thomas B, Knudsen +1 more
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