M
Masoumeh Bayat
Researcher at University of British Columbia
Publications - 6
Citations - 241
Masoumeh Bayat is an academic researcher from University of British Columbia. The author has contributed to research in topics: Composite number & Carbon nanofiber. The author has an hindex of 3, co-authored 3 publications receiving 202 citations.
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Electromagnetic interference shielding effectiveness of hybrid multifunctional Fe3O4/carbon nanofiber composite
TL;DR: In this paper, the authors examined the contributing effects of various parameters such as Fe 3 O 4 content, carbonization temperature and thickness on total shielding efficiency (SE total ) of different samples.
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Electromagnetic properties of electrospun Fe3O4/carbon composite nanofibers
TL;DR: In this article, the electrical conductivity and magnetic properties of composite carbon nanofibers have been examined using PAN as a matrix to produce magnetic composite nanofiber containing different amounts of magnetite (Fe3O4) nanoparticles.
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Effect of iron oxide nanoparticle size on electromagnetic properties of composite nanofibers
TL;DR: In this article, a magnetically permeable carbon nanofiber-based composites were developed using the electrospinning with subsequent heat treatment, and the composite nanofibers contained a vari...
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Source Localization and Spectrum Analyzing of EEG in Stuttering State upon Dysfluent Utterances.
Masoumeh Bayat,Reza Boostani,Malihe Sabeti,Fariba Yadegari,Mohammad Mehdi Pirmoradi,K. Rao,Mohammad Nami +6 more
TL;DR: In this paper , the power spectral dynamics in the stuttering state by answering the questions using quantitative electroencephalography (qEEG) were investigated using quantitative EEG signals in adults who stutter.
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Speech Related Anxiety in Adults Who Stutter
Masoumeh Bayat,Reza Boostani,Malihe Sabeti,Fariba Yadegari,Mahsa Taghavi,Mohammad Mehdi Pirmoradi,Prasun Chakrabarti,Mohammad Nami +7 more
TL;DR: In this article , the authors compared some speech-related anticipatory anxiety indices in fluent and dysfluent utterances in adults who stutter (AWS) using a self-reporting method and evaluated the autonomic aspects of anxiety (state anxiety) through recording changes in Galvanic Skin Response (GSR) signals.