Breaking the glass door in academia? Looking at the role of scientific fields and contextual factors in moderating the gender gap in recruitment: evidence from Italy. [PDF]
Gaiaschi C.
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EEG signal dimension is an index of seizure propensity and antiseizure medication effects in a mouse model of acquired epilepsy. [PDF]
Rizzi M +4 more
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Chaos to clarity: interpreting time series complexity metrics with an application to depression. [PDF]
George SV.
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Gaze dynamics prior to navigation support hierarchical planning. [PDF]
Gordon J, Chuang J, Pezzulo G.
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Identification of preterm birth based on RQA analysis of electrohysterograms [PDF]
Common methods for data analysis are mainly based on linear concepts, but in recent years nonlinear dynamics methods have been introduced. It is a well-known fact that In typical biological systems lack of stationarity and rather sudden changes of state are the properties distinguishing them from each other. There is an urgent need to better understand
Piotr Laudanski +2 more
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Epilepsy identification based on EEG signal using RQA method
Advances in Medical Sciences, 2019Epilepsy is one of the most common neurological diseases and its cause is not unequivocal. Thus, additional methods and searches that may help to diagnose the disease are used in the clinical practice. In this study, we tested the possibility of using the Recurrence Quantification Analysis (RQA) method to identify epilepsy and present the analysis of ...
Marta Borowska +2 more
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Detecting BGP instability using Recurrence Quantification Analysis (RQA)
2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC), 2015The Border Gateway Protocol (BGP) is the default Internet routing protocol that manages connectivity among Autonomous Systems (ASes). Although BGP disruptions are rare, when they occur the consequences can be very damaging. Consequently there has been considerable effort aimed at understanding what is normal and abnormal BGP traffic and, in so doing ...
Grenville Armitage, Bahaa Al-Musawi
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Detection of Transformer Cores Looseness Using RQA
2010 Asia-Pacific Power and Energy Engineering Conference, 2010This paper proposes a recurrence qualification analysis (RQA) based method which is a useful tool to detect the subtle nonlinear changes in time series data to monitor the decreasing clamping forces of transformer iron cores. Firstly, suitable parameters including the distance threshold Â? for RQA are chosen according to the dynamical structures of the
Jie Guo +4 more
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Classification of the surface EMG signal using RQA based representations
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008Feature extraction is a key element of pattern recognition for myoelectric control. In this paper, recurrence plots and recurrence quantification analysis (RQA) are used as the feature extractor for surface EMG signals. For eight different hand motions, two-channel EMG signals are recorded.
Xiangyang Zhu
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