The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures

Mihailoviĉ, Dragutin T.; Nikolić-Đorić, Emilija; Malinović-Milićević, Slavica; Singh, Vijay P.; Mihailović, Anja; Stošić, Tatijana; Stošić, Borko; Drešković, Nusret

doi:10.3390/e21020215

Cited by 11 publications

(6 citation statements)

References 46 publications

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“…The origin countries most connected (having the highest values of out-degree) are China (immigrants from China chose 30 European countries as their destination), Egypt (30), India (29), Morocco (29), and the Republic of Moldova (29).…”

Section: Results From the Network Analysismentioning

confidence: 99%

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A Way to Europe: New Refugees’ Migration Patterns Revealed

Manafi

Roman

2022

Sustainability

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The final destination country for refugees heading to Europe may be a changing one depending on various factors, such as the relocation program at the EU level, their ability to make decisions, geographic factors, finances, available routes, visa options, networks, chance, labor markets, etc., but for many of them their choices are limited. The purpose of this paper is to show how refugees select their destination countries, by looking at similarities across European countries. We aim to explain how country-specific factors may relate to the magnitude of migration flows, employing cluster and network analysis, and connecting meso- and macro-levels. The variables considered in our analysis fall under the four types of factors for host countries described by Van Hear, Bakewell, and Long (2012). Our analysis reveals that host countries in Europe can be grouped into four clusters: (i) Top Destination Economically Performing Countries; (ii) Emergent Destination Countries; (iii) Periphery and Less Economically Performing Countries; and (iv) Outlier Countries.

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Section: Results From the Network Analysismentioning

confidence: 99%

“…Clusters are created using variables that are either active or illustrative input variables. The active variables are often (but not always) numeric variables, while the illustrative variables are used for understanding the characteristics on which the clusters are based and, hence, for their interpretation [30].…”

Section: The Cluster Analysismentioning

confidence: 99%

A Way to Europe: New Refugees’ Migration Patterns Revealed

Manafi

Roman

2022

Sustainability

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“…In a stochastic analysis, a random process is considered predictable if it is possible to infer the next state from previous observations. In many models, however, randomness is a phenomenon which "spoils" predictability [35]. Deterministic chaos does not mechanically denote total predictability but means that at least it improves the prognostic power.…”

Section: Statisticsmentioning

confidence: 99%

Assessment of climate change impact on the malaria vector Anopheles hyrcanus, West Nile disease, and incidence of melanoma in the Vojvodina Province (Serbia) using data from a regional climate model

Mihailoviĉ

Petrić

Hrnjakovic-Cvjetkovic

et al. 2020

PLoS ONE

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Motivated by the One Health paradigm, we found the expected changes in temperature and UV radiation (UVR) to be a common trigger for enhancing the risk that viruses, vectors, and diseases pose to human and animal health. We compared data from the mosquito field collections and medical studies with regional climate model projections to examine the impact of climate change on the spreading of one malaria vector, the circulation of West Nile virus (WNV), and the incidence of melanoma. We analysed data obtained from ten selected years of standardised mosquito vector sampling with 219 unique location-year combinations, and 10 years of melanoma incidence. Trends in the observed data were compared to the climatic variables obtained by the coupled regional Eta Belgrade University and Princeton Ocean Model for the period 1961-2015 using the A1B scenario, and the expected changes up to 2030 were presented. Spreading and relative abundance of Anopheles hyrcanus was positively correlated with the trend of the mean annual temperature. We anticipated a nearly twofold increase in the number of invaded sites up to 2030. The frequency of WNV detections in Culex pipiens was significantly correlated to overwintering temperature averages and seasonal relative humidity at the sampling sites. Regression model projects a twofold increase in the incidence of WNV positive Cx. pipiens for a rise of 0.5˚C in overwintering T October-April temperatures. The projected increase of 56% in the number of days with T max � 30˚C (Hot Days-HD) and UVR doses (up to 1.2%) corresponds to an increasing trend in melanoma incidence. Simulations of the Pannonian countries climate anticipate warmer and drier conditions with possible dominance of temperature and number of HD

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“…have been employed even more widely to study the system's temporal and spatial dynamics. These include fast Fourier transform (FFT), continuous wavelet transformation, semblance, autocorrelation, Shannon entropy, multifractal, Lyapunov exponent, and Poincaré maps [37][38][39]. The multifractal spectrum has been demonstrated to be sensitive to anomaly-induced differences in acoustic signals and exhaled aerosol distributions [40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Discovery of Anomaly-Sensitive Parameters from Uvula Wake Flows Using Wavelet Analyses and Poincaré Maps

Si,

Wang,

Dong

et al. 2023

Acoustics

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This study presents a data-driven approach to identifying anomaly-sensitive parameters through a multiscale, multifaceted analysis of simulated respiratory flows. The anomalies under consideration include a pharyngeal model with three levels of constriction (M1, M2, M3) and a flapping uvula with two types of kinematics (K1, K2). Direct numerical simulations (DNS) were implemented to solve the wake flows induced by a flapping uvula; instantaneous vortex images, as well as pressures and velocities at seven probes, were recorded for twelve cycles. Principal component analysis (PCA), wavelet-based multifractal spectrum and scalogram, and Poincaré mapping were implemented to identify anomaly-sensitive parameters. The PCA results demonstrated a reasonable periodicity of instantaneous vortex images in the leading vector space and revealed distinct patterns between models with varying uvula kinematics (K1, K2). At higher PCA ranks, the periodicity gradually decays, eventually transitioning to a random pattern. The multifractal spectra and scalograms of pressures in the pharynx (P6, P7) show high sensitivity to uvula kinematics, with the pitching mode (K2) having a wider spectrum and a left-skewed peak than the heaving mode (K1). Conversely, the Poincaré maps of velocities and pressures in the pharynx (Vel6, Vel7, P6, P7) exhibit high sensitivity to pharyngeal constriction levels (M1–M3), but not to uvula kinematics. The parameter sensitivity to anomaly also differs with the probe site; thus, synergizing measurements from multiple probes with properly extracted anomaly-sensitive parameters holds the potential to localize the source of snoring and estimate the collapsibility of the pharynx.

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The Choice of an Appropriate Information Dissimilarity Measure for Hierarchical Clustering of River Streamflow Time Series, Based on Calculated Lyapunov Exponent and Kolmogorov Measures

Cited by 11 publications

References 46 publications

A Way to Europe: New Refugees’ Migration Patterns Revealed

A Way to Europe: New Refugees’ Migration Patterns Revealed

Assessment of climate change impact on the malaria vector Anopheles hyrcanus, West Nile disease, and incidence of melanoma in the Vojvodina Province (Serbia) using data from a regional climate model

Data-Driven Discovery of Anomaly-Sensitive Parameters from Uvula Wake Flows Using Wavelet Analyses and Poincaré Maps

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