scholarly journals Phonemic restoration effect reversed in a reverberant room

2012 ◽  
Vol 131 (1) ◽  
pp. EL28-EL34 ◽  
Author(s):  
Nirmal Kumar Srinivasan ◽  
Pavel Zahorik
Keyword(s):  
Phonemic Restoration ◽  
Restoration Effect

scholarly journals The phonemic restoration effect reveals pre-N400 effect of supportive sentence context in speech perception

2010 ◽  
Vol 1361 ◽  
pp. 54-66 ◽  
Author(s):  
David M. Groppe ◽  
Marvin Choi ◽  
Tiffany Huang ◽  
Joseph Schilz ◽  
Ben Topkins ◽  
...  
Keyword(s):  
Speech Perception ◽  
Sentence Context ◽  
N400 Effect ◽  
Phonemic Restoration ◽  
Restoration Effect

Auditory and Visual Influences on Phonemic Restoration

1990 ◽  
Vol 33 (2) ◽  
pp. 121-135 ◽  
Author(s):  
J.D. Trout ◽  
William J. Poser
Keyword(s):  
Phonemic Restoration

Hepatotoxicity of methoxychlor and camel milk restoration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eman E. Elsharkawy ◽  
Neveen A. El-Nisr ◽  
Nahed M. Wahba ◽  
Walaa M. Elsherif
Keyword(s):  
Liver Toxicity ◽  
Portal Tract ◽  
Liver Homogenate ◽  
Protective Role ◽  
Camel Milk ◽  
Content Type ◽  
Camel's Milk ◽  
Serum Transaminases ◽  
Restoration Effect

Purpose The purpose of this paper is to investigate the restoration effect of camel's milk against methoxychlor induced liver toxicity. Design/methodology/approach The present study was carried out to investigate the restoration effect of camel's milk against methoxychlor induced liver toxicity. Findings Methoxychlor (MXC) caused a significant increase in serum transaminases (aspartate transaminase and alanine transaminase) and alkaline phosphatase, while MXC induced a significant reduction in total protein and albumin levels. MXC significantly inhibited lipid peroxidation and markedly enhanced glutathione in liver homogenate. Pathological damages as degeneration and coagulative necrosis of hepatocytes were established in liver. Newly formed bile ducteules denotes neoplastic changes in the portal tract with abnormal mitotic pattern were associated with the long-term exposure. Originality/value The present study concluded that camel milk treatment may play a protective role against methoxychlor-induced liver damage in rats.

Peat bog restoration: Effect of phosphorus on plant re-establishment

2007 ◽  
Vol 31 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Matteo Sottocornola ◽  
Stéphanie Boudreau ◽  
Line Rochefort
Keyword(s):  
Peat Bog ◽  
Restoration Effect

Digital object restoration using generalized regression neural network deep learning—Taking Dunhuang mural restoration as an example

2020 ◽  
pp. 002072092092854
Author(s):  
Wenjing She
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Image Restoration ◽  
Anisotropic Diffusion ◽  
Learning Algorithm ◽  
Diffusion Method ◽  
Generalized Regression Neural Network ◽  
Deep Learning Algorithm ◽  
Training Samples ◽  
Restoration Effect

In this research, Dunhuang murals is taken as the object of restoration, and the role of digital repair combined with deep learning algorithm in mural restoration is explored. First, the image restoration technology is described, as well as its advantages and disadvantages are analyzed. Second, the deep learning algorithm based on artificial neural network is described and analyzed. Finally, the deep learning algorithm is integrated into the digital repair technology, and a mural restoration method based on the generalized regression neural network is proposed. The morphological expansion method and anisotropic diffusion method are used to preprocess the image. The MATLAB software is used for the simulation analysis and evaluation of the image restoration effect. The results show that in the restoration of the original image, the accuracy of the digital image restoration technology is not high. The nontexture restoration technology is not applicable in the repair of large-scale texture areas. The predicted value of the mural restoration effect based on the generalized neural network is closer to the true value. The anisotropic diffusion method has a significant effect on the processing of image noise. In the image similarity rate, the different number of training samples and smoothing parameters are compared and analyzed. It is found that when the value of δ is small, the number of training samples should be increased to improve the accuracy of the prediction value. If the number of training samples is small, a larger value of δ is needed to get a better prediction effect, and the best restoration effect is obtained for the restored image. Through this study, it is found that this study has a good effect on the restoration model of Dunhuang murals. It provides experimental reference for the restoration of later murals.

Phonemic restoration in a sentence context: Evidence from early and late ERP effects

2006 ◽  
Vol 1121 (1) ◽  
pp. 177-189 ◽  
Author(s):  
Päivi Sivonen ◽  
Burkhard Maess ◽  
Sonja Lattner ◽  
Angela D. Friederici
Keyword(s):  
Sentence Context ◽  
Phonemic Restoration
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