Results 41 to 50 of about 465,610 (291)

Multiscale interdependence between the major agricultural commodities

Agricultural Economics (AGRICECON), 2019
This paper investigates multiscale dynamic interconnection between the five agricultural commodities - corn, wheat, soybean, rice and oats, covering more than 18 years period.
Dejan Živkov, Jovan Njegić, Marko Pećanac   +2 more
doaj   +1 more source

Rapid surrogate testing of wavelet coherences [PDF]

EPJ Nonlinear Biomedical Physics, 2017
Background. The use of wavelet coherence methods enables the identification of frequency-dependent relationships between the phases of the fluctuations found in complex systems such as medical and other biological timeseries. These relationships may illuminate the causal mechanisms that relate the variables under investigation.
Sheppard, Lawrence W., Reid, Philip C., Reuman, Daniel C.   +2 more
openaire   +2 more sources

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay, Cassandre Landes‐Château, Lydiane Mondot, Mikael Cohen, Margherita Popolo, Jérôme de Seze, Bertrand Bourre, Françoise Durand‐Dubief, Olivier Casez, Orhun H. Kantarci, Aksel Siva, Stephanie Baillif, Darin T. Okuda, Letizia Leocani   +13 more
wiley   +1 more source

Wavelet transform of coherent state

Acta Physica Sinica, 2012
Two new mother wavelets are constructed on the basis of the quantum mechanics of classical wavelet transform. Based on that, the wavelet transform of coherent state and particle number state is studied with the technique of integration within an ordered product, and the wavelet transform from coherent state to particle number state is obtained by ...
null Yu Hai-Jun, null Du Jian-Ming, null Zhang Xiu-Lan   +2 more
openaire   +1 more source

Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs, Marcel Naumann, Annaliis Lehto, Hanna Schön, Jens Kurth, Johannes Prudlo, Andreas Hermann, Elisabeth Kasper   +7 more
wiley   +1 more source

Continuous wavelet based transfer function analysis of cerebral autoregulation dynamics for neuromonitoring using near-infrared spectroscopy

Frontiers in Physiology
IntroductionNear-infrared spectroscopy is now a popular method in neuromonitoring. Derived parameters like cerebral oxygenation index or Fast Fourier Transform based coherence estimates between blood pressure and cerebral blood flow have their ...
Marcus Thudium, Evgeniya Kornilov, Evgeniya Kornilov, Stefan Moestl, Fabian Hoffmann, Fabian Hoffmann, Alex Hoff, Surat Kulapatana, Surat Kulapatana, Surat Kulapatana, Vasile Urechie, Vasile Urechie, Maximilian Oremek, Stefano Rigo, Stefano Rigo, Stefano Rigo, Karsten Heusser, Italo Biaggioni, Jens Tank, André Diedrich, André Diedrich   +20 more
doaj   +1 more source

Wavelet coherence analysis of dynamic cerebral autoregulation in neonatal hypoxic–ischemic encephalopathy

NeuroImage: Clinical, 2016
Cerebral autoregulation represents the physiological mechanisms that keep brain perfusion relatively constant in the face of changes in blood pressure and thus plays an essential role in normal brain function.
Fenghua Tian, Takashi Tarumi, Hanli Liu, Rong Zhang, Lina Chalak   +4 more
doaj   +1 more source

Computational methods of EEG signals analysis for Alzheimer’s disease classification

Scientific Reports, 2023
Computational analysis of electroencephalographic (EEG) signals have shown promising results in detecting brain disorders, such as Alzheimer’s disease (AD).
Mário L. Vicchietti, Fernando M. Ramos, Luiz E. Betting, Andriana S. L. O. Campanharo   +3 more
doaj   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Examining the environmental Phillips curve hypothesis in G7 nations: critical insights from wavelet coherence and wavelet causality analysis [PDF]

This study aims to examine the emerging Environmental Phillips-Curve (EPC) hypothesis across G7 nations from 1990 to 2022, employing the cross-sectionally augmented autoregressive distributed lags (CS-ARDL), wavelet coherence, and wavelet causality ...
Azimi, Mohammad Naim, Rahman, Mohammad Mafizur   +1 more
core   +1 more source