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  1. Article ; Online: Reply To

    Albert C. Yang / Chung-Kang Peng / Norden E. Huang

    Nature Communications, Vol 13, Iss 1, Pp 1-

    Comments on identifying causal relationships in nonlinear dynamical systems via empirical mode decomposition

    2022  Volume 3

    Keywords Science ; Q
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: A data-driven tool for tracking and predicting the course of COVID-19 epidemic as it evolves

    Norden E Huang / Fangli Qiao / Ka-Kit Tung

    Abstract: For an emergent disease, such as Covid-19, with no past epidemiological data to guide models, modelers struggle to make predictions of the course of the epidemic (1). Policy decisions depend on such predictions but they vary widely. On the other hand ... ...

    Abstract For an emergent disease, such as Covid-19, with no past epidemiological data to guide models, modelers struggle to make predictions of the course of the epidemic (1). Policy decisions depend on such predictions but they vary widely. On the other hand much empirical information is already contained in the data of evolving epidemiological profiles. We show, both with evidence from data, and theoretically, how the ratio of daily infected and recovered cases can be used to track and predict the course of the epidemic. Ability to predict the turning points and the end of the epidemic is of crucial importance for fighting the epidemic and planning for a return to normalcy. The accuracy of the prediction of the peaks of the epidemic is validated using data in different regions in China showing the effects of different levels of quarantine. The validated tool can be applied to other countries where Covid-19 has spread, and generally to future epidemics. A preliminary prediction for South Korea is made with limited data, with end of the epidemic as early as the second week of April, surprisingly.
    Keywords covid19
    Publisher medrxiv
    Document type Article ; Online
    DOI 10.1101/2020.03.28.20046177
    Database COVID19

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  3. Article ; Online: Causal decomposition in the mutual causation system

    Albert C. Yang / Chung-Kang Peng / Norden E. Huang

    Nature Communications, Vol 9, Iss 1, Pp 1-

    2018  Volume 10

    Abstract: Causality inference in time series analysis based on temporal precedence principle between cause and effect fails to detect mutual causal interactions. Here, Yang et al. introduce a causal decomposition approach based on the covariation principle of ... ...

    Abstract Causality inference in time series analysis based on temporal precedence principle between cause and effect fails to detect mutual causal interactions. Here, Yang et al. introduce a causal decomposition approach based on the covariation principle of cause and effect that overcomes this limitation.
    Keywords Science ; Q
    Language English
    Publishing date 2018-08-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Causal decomposition in the mutual causation system

    Albert C. Yang / Chung-Kang Peng / Norden E. Huang

    Nature Communications, Vol 9, Iss 1, Pp 1-

    2018  Volume 10

    Abstract: Causality inference in time series analysis based on temporal precedence principle between cause and effect fails to detect mutual causal interactions. Here, Yang et al. introduce a causal decomposition approach based on the covariation principle of ... ...

    Abstract Causality inference in time series analysis based on temporal precedence principle between cause and effect fails to detect mutual causal interactions. Here, Yang et al. introduce a causal decomposition approach based on the covariation principle of cause and effect that overcomes this limitation.
    Keywords Science ; Q
    Language English
    Publishing date 2018-08-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Data concerning statistical relation between obliquity and Dansgaard–Oeschger events

    Jia Deng / Zhaohua Wu / Min Zhang / Norden E. Huang / Shizhu Wang / Fangli Qiao

    Data in Brief, Vol 23, Iss , Pp - (2019)

    2019  

    Abstract: Data presented are related to the research article entitled “Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity” (J. Deng et al., 2018). The datasets in Deng et al. (2018) are analyzed on the ... ...

    Abstract Data presented are related to the research article entitled “Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity” (J. Deng et al., 2018). The datasets in Deng et al. (2018) are analyzed on the foundation of ensemble empirical mode decomposition (EEMD) (Z.H. Wu and N.E. Huang, 2009), and reveal more occurrences of Dansgaard-Oeschger (DO) events in the decreasing phase of obliquity. Here, we report the number of significant high Shannon entropy (SE) (C.E. Shannon and W. Weaver, 1949) of 95% significance level of DO events in the increasing and decreasing phases of obliquity, respectively. First, the proxy time series are filtered by EEMD to obtain DO events. Then, the time-varying SE of DO modes are calculated on the basis of principle of histogram. The 95% significance level is evaluated through surrogate data (T. Schreiber and A. Schmitz, 1996). Finally, a comparison between the numbers of SE values that are larger than 95% significance level in the increasing and decreasing phases of obliquity, respectively, is reported. Keywords: Dansgaard–Oeschger events, Obliquity, Time-varying Shannon entropy, Surrogate data
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Language English
    Publishing date 2019-04-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Global sea level trend during 1993–2012

    Chen, Xianyao / Norden E. Huang / Ying Feng

    Global and Planetary Change. 2014 Jan., v. 112

    2014  

    Abstract: Projection of future sea level change relies on the understanding of present sea-level trend and how it has varied in the past. Here we investigate the global-mean sea level (GMSL) change during 1993–2012 using Empirical Mode Decomposition, in an ... ...

    Abstract Projection of future sea level change relies on the understanding of present sea-level trend and how it has varied in the past. Here we investigate the global-mean sea level (GMSL) change during 1993–2012 using Empirical Mode Decomposition, in an attempt to distinguish the trend over this period from the interannual variability. It is found that the GMSL rises with the rate of 3.2±0.4mm/yr during 1993–2003 and started decelerating since 2004 to a rate of 1.8±0.9mm/yr in 2012. This deceleration is mainly due to the slowdown of ocean thermal expansion in the Pacific during the last decade, as a part of the Pacific decadal-scale variability, while the land-ice melting is accelerating the rise of the global ocean mass-equivalent sea level. Recent rapid recovery of the rising GMSL from its dramatic drop during the 2011 La Niña introduced a large uncertainty in the estimation of the sea level trend, but the decelerated rise of the GMSL appears to be intact.
    Keywords La Nina ; melting ; oceans ; sea level ; thermal expansion ; uncertainty
    Language English
    Dates of publication 2014-01
    Size p. 26-32.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 2016967-X
    ISSN 0921-8181
    ISSN 0921-8181
    DOI 10.1016/j.gloplacha.2013.11.001
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: A New Dynamic Building Health Monitoring Method Based on the Hilbert-Huang Transform

    Sheng-Chung Su / Kuo-Liang Wen / Norden E. Huang

    Terrestrial, Atmospheric and Oceanic Sciences, Vol 25, Iss 3, p

    2014  Volume 289

    Abstract: The theoretical solution for a Multiple-Degree-Of-Freedom (MDOF) structure is composed of a combination of several individual modes. When we demonstrate the actual response directly on the time-frequency spectrum, the energy distribution is usually ... ...

    Abstract The theoretical solution for a Multiple-Degree-Of-Freedom (MDOF) structure is composed of a combination of several individual modes. When we demonstrate the actual response directly on the time-frequency spectrum, the energy distribution is usually concentrated at some range of frequencies, with the temporal variations of each band clearly shown. Those variations in the frequencies are the actual structure performances even though those ¡§modal behaviors¡¨ are not coming from the theoretical solutions. Using the Hilbert-Huang Transform (HHT) the modal behaviors can be obtained easily by directly reading the time-frequency spectrum. To find Structural-Health-Monitoring (SHM) information, some numerical steps are found helpful. Including the signal enhancement skills, the time-frequency domain amplification function (T.F.AF), the modal temporal variation curve (MTVC) and the instantaneous frequency application. We develop a new method called the HHT SHM method; both experiment measurement and building observation are used to show the performance and method-validation. The procedures are described as follows. The original signal is first transferred into the wave-propagating properties, the T.F.AF. The T.F.AF can give dynamic parameter results through all phases in an earthquake event. After adopting useful modal information from the T.F.AF, which is called the MTVC. The MTVC contains detailed SHM information that enables observers to read the modal behavior. This is a new way to explore SHM information from actual records. These MTVCs can be used to explore the vivid differences in structure healthy conditions that might be ignored by other observers.
    Keywords HHT ; SHM ; Vibration-based analysis ; Strong-motion ; Geography (General) ; G1-922 ; Geology ; QE1-996.5
    Subject code 621
    Language English
    Publishing date 2014-01-01T00:00:00Z
    Publisher Chinese Geoscience Union
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Unraveling nonlinear electrophysiologic processes in the human visual system with full dimension spectral analysis

    Kien Trong Nguyen / Wei-Kuang Liang / Victor Lee / Wen-Sheng Chang / Neil G. Muggleton / Jia-Rong Yeh / Norden E. Huang / Chi-Hung Juan

    Scientific Reports, Vol 9, Iss 1, Pp 1-

    2019  Volume 13

    Abstract: Abstract Natural sensory signals have nonlinear structures dynamically composed of the carrier frequencies and the variation of the amplitude (i.e., envelope). How the human brain processes the envelope information is still poorly understood, largely due ...

    Abstract Abstract Natural sensory signals have nonlinear structures dynamically composed of the carrier frequencies and the variation of the amplitude (i.e., envelope). How the human brain processes the envelope information is still poorly understood, largely due to the conventional analysis failing to quantify it directly. Here, we used a recently developed method, Holo-Hilbert spectral analysis, and steady-state visually evoked potential collected using electroencephalography (EEG) recordings to investigate how the human visual system processes the envelope of amplitude-modulated signals, in this case with a 14 Hz carrier and a 2 Hz envelope. The EEG results demonstrated that in addition to the fundamental stimulus frequencies, 4 Hz amplitude modulation residing in 14 Hz carrier and a broad range of carrier frequencies covering from 8 to 32 Hz modulated by 2 Hz amplitude modulation are also found in the two-dimensional frequency spectrum, which have not yet been recognized before. The envelope of the stimulus is also found to dominantly modulate the response to the incoming signal. The findings thus reveal that the electrophysiological response to amplitude-modulated stimuli is more complex than could be revealed by, for example, Fourier analysis. This highlights the dynamics of neural processes in the visual system.
    Keywords Medicine ; R ; Science ; Q
    Subject code 612
    Language English
    Publishing date 2019-11-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Investigating Power Density and the Degree of Nonlinearity in Intrinsic Components of Anesthesia EEG by the Hilbert-Huang Transform

    Feng-Fang Tsai / Shou-Zen Fan / Yi-Shiuan Lin / Norden E Huang / Jia-Rong Yeh

    PLoS ONE, Vol 11, Iss 12, p e

    An Example Using Ketamine and Alfentanil.

    2016  Volume 0168108

    Abstract: Empirical mode decomposition (EMD) is an adaptive filter bank for processing nonlinear and non-stationary signals, such as electroencephalographic (EEG) signals. EMD works well to decompose a time series into a set of intrinsic mode functions with ... ...

    Abstract Empirical mode decomposition (EMD) is an adaptive filter bank for processing nonlinear and non-stationary signals, such as electroencephalographic (EEG) signals. EMD works well to decompose a time series into a set of intrinsic mode functions with specific frequency bands. An IMF therefore represents an intrinsic component on its correspondingly intrinsic frequency band. The word of 'intrinsic' means the frequency is totally adaptive to the nature of a signal. In this study, power density and nonlinearity are two critical parameters for characterizing the amplitude and frequency modulations in IMFs. In this study, a nonlinearity level is quantified using degree of waveform distortion (DWD), which represents the characteristic of waveform distortion as an assessment of the intra-wave modulation of an IMF. In the application of anesthesia EEG analysis, the assessments of power density and DWD for a set of IMFs represent dynamic responses in EEG caused by two different anesthesia agents, Ketamine and Alfentanil, on different frequency bands. Ketamine causes the increase of power density and the decrease of nonlinearity on γ-band neuronal oscillation, which cannot be found EEG responses of group B using Alfentanil. Both agents cause an increase of power density and a decrease of nonlinearity on β-band neuronal oscillation accompany with a loss of consciousness. Moreover, anesthesia agents cause the decreases of power density and nonlinearity (i.e. DWD) for the low-frequency IMFs.
    Keywords Medicine ; R ; Science ; Q
    Subject code 621
    Language English
    Publishing date 2016-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Do seasons have an influence on the incidence of depression? The use of an internet search engine query data as a proxy of human affect.

    Albert C Yang / Norden E Huang / Chung-Kang Peng / Shih-Jen Tsai

    PLoS ONE, Vol 5, Iss 10, p e

    2010  Volume 13728

    Abstract: BACKGROUND: Seasonal depression has generated considerable clinical interest in recent years. Despite a common belief that people in higher latitudes are more vulnerable to low mood during the winter, it has never been demonstrated that human's moods are ...

    Abstract BACKGROUND: Seasonal depression has generated considerable clinical interest in recent years. Despite a common belief that people in higher latitudes are more vulnerable to low mood during the winter, it has never been demonstrated that human's moods are subject to seasonal change on a global scale. The aim of this study was to investigate large-scale seasonal patterns of depression using Internet search query data as a signature and proxy of human affect. METHODOLOGY/PRINCIPAL FINDINGS: Our study was based on a publicly available search engine database, Google Insights for Search, which provides time series data of weekly search trends from January 1, 2004 to June 30, 2009. We applied an empirical mode decomposition method to isolate seasonal components of health-related search trends of depression in 54 geographic areas worldwide. We identified a seasonal trend of depression that was opposite between the northern and southern hemispheres; this trend was significantly correlated with seasonal oscillations of temperature (USA: r = -0.872, p<0.001; Australia: r = -0.656, p<0.001). Based on analyses of search trends over 54 geological locations worldwide, we found that the degree of correlation between searching for depression and temperature was latitude-dependent (northern hemisphere: r = -0.686; p<0.001; southern hemisphere: r = 0.871; p<0.0001). CONCLUSIONS/SIGNIFICANCE: Our findings indicate that Internet searches for depression from people in higher latitudes are more vulnerable to seasonal change, whereas this phenomenon is obscured in tropical areas. This phenomenon exists universally across countries, regardless of language. This study provides novel, Internet-based evidence for the epidemiology of seasonal depression.
    Keywords Medicine ; R ; Science ; Q
    Subject code 303
    Language English
    Publishing date 2010-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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