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Predictability and Disruption of Spontaneous Speech

Language and Speech, 1966
Three 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
openaire   +2 more sources

PREDICTING ANASTOMOTIC DISRUPTION AFTER EMERGENT INTESTINAL SURGERY

GLOBAL JOURNAL FOR RESEARCH ANALYSIS, 2022
Introduction Suture line disruption is an important cause of post-operative morbidity and mortality in patients who have undergone bowel surgery. Our aim was to study peri-operative factors causing anastomotic disruption in emergency surgeries and also morbidity and mortality associated with it.
Ashiq Hussain Raina   +5 more
openaire   +1 more source

Demystifying Disruption: A New Model for Understanding and Predicting Disruptive Technologies

Marketing Science, 2010
The 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
openaire   +1 more source

Disruption of embryonic vascular development in predictive toxicology

Birth Defects Research Part C: Embryo Today: Reviews, 2011
AbstractToxicity testing in the 21st century is moving toward using high‐throughput 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
openaire   +2 more sources

Predicting Anastomotic Disruption after Emergent Small Bowel Surgery

Digestive Surgery, 2006
<i>Background/Aims:</i> Small bowel anastomoses performed in the emergent setting have a high risk of leakage. Attention to technical detail is imperative but does not guarantee success in these situations. We sought out factors that could play a role in the process of anastomotic dehiscence under these conditions.
Amit, Nair, Dinker R, Pai, S, Jagdish
openaire   +2 more sources

Disruption prediction with adaptive neural networks for ASDEX Upgrade

Fusion Engineering and Design, 2011
Abstract In this paper, an adaptive neural system has been built to predict the risk of disruption at ASDEX Upgrade. The system contains a Self Organizing Map, which determines the ‘novelty’ of the input of a Multi Layer Perceptron predictor module. The answer of the MLP predictor will be inhibited whenever a novel sample is detected. Furthermore, it
CANNAS, BARBARA   +4 more
openaire   +3 more sources

Comparison of Advanced Machine Learning Tools for Disruption Prediction and Disruption Studies

IEEE Transactions on Plasma Science, 2013
Machine learning tools have been used since a long time ago to study disruptions and to predict their occurrence. On the other hand, the challenges posed by the quality and quantities of the data available remain substantial. In this paper, methods to optimize the training data set and the potential of kernels-based advanced machine learning tools are ...
Michal Odstrcil   +2 more
openaire   +1 more source

Network Disruption Prediction Using Naïve Bayes Classifier

2019 2nd International Conference of Computer and Informatics Engineering (IC2IE), 2019
The most crucial challenge of internet service providers is to assure the availability and reliability of their services to their customers. The companies should prevent the customer's complaint by recognizing a potential disruption for the customers, especially in the category ‘under spec' condition (potentially impaired service).
Shinta Oktaviana   +3 more
openaire   +1 more source

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.
ALEDDA, RAFFAELE   +4 more
openaire   +3 more sources

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