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1.
Phase Portrait for High Fidelity Feature Extraction and Classification: A Surrogate Approach
Mohanachandran Nair Sindhu Swapna, 2020, original scientific article

Abstract: This paper proposes a novel surrogate method of classification of breath sound signals for auscultation through the principal component analysis (PCA), extracting the features of a phase portrait. The nonlinear parameters of the phase portrait like the Lyapunov exponent, the sample entropy, the fractal dimension, and the Hurst exponent help in understanding the degree of complexity arising due to the turbulence of air molecules in the airways of the lungs. Thirty-nine breath sound signals of bronchial breath (BB) and pleural rub (PR) are studied through spectral, fractal, and phase portrait analyses. The fast Fourier transform and wavelet analyses show a lesser number of high-intense, low-frequency components in PR, unlike BB. The fractal dimension and sample entropy values for PR are, respectively, 1.772 and 1.041, while those for BB are 1.801 and 1.331, respectively. This study reveals that the BB signal is more complex and random, as evidenced by the fractal dimension and sample entropy values. The signals are classified by PCA based on the features extracted from the power spectral density (PSD) data and the features of the phase portrait. The PCA based on the features of the phase portrait considers the temporal correlation of the signal amplitudes and that based on the PSD data considers only the signal amplitudes, suggesting that the former method is better than the latter as it reflects the multidimensional aspects of the signal. This appears in the PCA-based classification as 89.6% for BB, a higher variance than the 80.5% for the PR signal, suggesting the higher fidelity of the phase portrait-based classification.
Keywords: Phase Portrait, time series, feature extraction, pleural rub
Published in RUNG: 05.07.2022; Views: 1018; Downloads: 0
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2.
The nominal structure of clausal complements: An experimental study of wh-extraction in Bulgarian
Arthur Stepanov, Iliyana Krapova, 2021, published scientific conference contribution

Keywords: wh-extraction, experimental syntax, propositional attitude verb, Bulgarian
Published in RUNG: 21.06.2021; Views: 1988; Downloads: 0
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Creating better models of data work through big exercises of imagination
2020, radio or television broadcast, podcast, interview, press conference

Keywords: predictive economies, data, social tech, machine learning, autonomy, data worker, trade union, solidarity, labour extraction, data labour rights
Published in RUNG: 08.12.2020; Views: 2310; Downloads: 27
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6.
Experimenting with Highest Conjunct Agreement under Left Branch Extraction
Boban Arsenijević, Franc Marušič, Jana Willer-Gold, 2020, published scientific conference contribution

Abstract: A debate has developed in the recent theoretical and experimental linguistic literature on the status and the locus of conjunct agreement in South Slavic (SS; Marušič et al. 2007, Bošković 2009, Franks & Willer Gold 2014, Murphy & Puškar 2015; Marušič et al. 2015 and Willer Gold et al. 2016). One of the pertinent issues of the debate is the status of Highest Conjunct Agreement – agreement with the hierarchically highest conjunct (NP1) – in sentences with a preverbal subject. The question around which the debate revolves is a basic one: Is there Highest Conjunct Agreement (HCA) in Bosnian/Croatian/Serbian (BCS), and how is it blocked, or derived, respectively?
Keywords: syntax, agreement, conjunct agrement, left branch extraction, Bosnian/Croatian/Serbian
Published in RUNG: 18.05.2020; Views: 2822; Downloads: 0
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7.
Recovery of bioactive components from fruit processing wastes
Branka Mozetič Vodopivec, 2019, published scientific conference contribution

Keywords: processing wastes, green extraction methods, polyphenols
Published in RUNG: 23.08.2019; Views: 2986; Downloads: 1
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8.
FOOD PROCESSING WASTES AS POTENTIAL SOURCE OF BIOLOGICALLY ACTIVE COMPOUNDS
Branka Mozetič Vodopivec, 2018, published scientific conference contribution (invited lecture)

Keywords: food processing wastes, wine, olive oil, extraction methods, polyphenols
Published in RUNG: 10.09.2018; Views: 3494; Downloads: 0
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9.
Restricting Left Branch Extraction in Slovenian
Petra Mišmaš, 2017, published scientific conference contribution abstract

Keywords: noun phrase, NP, DP, Left Branch Extraction, split DP, Slovenian, syntax
Published in RUNG: 26.10.2017; Views: 4288; Downloads: 0
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10.
The comparison of anthocyanin and pyranoanthocyanin extraction efficiency in Pinot Noir wine using SPE
Jelena Topic, Dorota Korte, Branka Mozetič Vodopivec, 2017, published scientific conference contribution abstract

Keywords: Anthocyanins, wine, Pinot Noir, HPLC, solid-phase extraction
Published in RUNG: 05.07.2017; Views: 5225; Downloads: 0
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