1. GRB minimum variability timescale with Insight-HXMT and Swift : implications for progenitor models, dissipation physics, and GRB classificationsA. E. Camisasca, Cristiano Guidorzi, Lorenzo Amati, F. Frontera, X. Y. Song, S. Xiao, S. L. Xiong, S. N. Zhang, Raffaella Margutti, Andreja Gomboc, 2023, original scientific article Keywords: astronomy, gamma ray burst, variability
Published in RUNG: 24.03.2023; Views: 1924; Downloads: 21
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2. Scalar Implicaturesscientific monograph Abstract: Scalar implicatures have enjoyed the status of one of the most researched topics in both theoretical and experimental pragmatics in recent years. This Research Topic presents new developments in studying the comprehension, as well as the production of scalar inferences, suggests new testing paradigms that trigger important discussions about the methodology of experimental investigation, explores the effect of prosody and context on inference rates. To a great extent the articles reflect the state of the art in the domain and outline promising paths for future research.
Keywords: Scalar implicature, Lexical scales, Scalar variability, Cross-linguistic variation, Production, Comprehension, Prosody, Context
Published in RUNG: 06.11.2019; Views: 3959; Downloads: 121
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3. Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathyGoran Krstačić, Gianfranco Parati, Dragan Gamberger, Paolo Castiglioni, Antonija Krstačić, Robert Steiner, 2012, original scientific article Abstract: Complexity-based analyses may quantify abnormalities in heart rate variability (HRV). The aim of this study was to investigate the clinical and prognostic significances of dynamic HRV changes in patients with stress-induced cardiomyopathy Takotsubo syndrome (TS) by means of linear and nonlinear analysis. Patients with TS were included in study after complete noninvasive and invasive cardiovascular diagnostic evaluation and compared to an age and gender matched control group of healthy subjects. Series of R–R interval and of ST–T interval values were obtained from 24-h ECG recordings after digital sampling. HRV analysis was performed by ‘range rescaled analysis’ to determine the Hurst exponent, by detrended fluctuation analysis to quantify fractal longrange correlation properties, and by approximate entropy to assess time-series predictability. Short- and long-term fractal-scaling exponents were significantly higher in patients with TS in acute phases, opposite to lower approximate entropy and Hurst exponent, but all variables normalized in a few weeks. Dynamic HRV analysis allows assessing changes in complexity features of HRV in TS patients during the acute stage, and to monitor recovery after treatment, thus complementing traditional ECG and clinically analysis.
Keywords: Heart rate variability, Nonlinear dynamics, Chaos theory, Stress-induced cardiomyopathy, Takotsubo syndrome
Published in RUNG: 13.07.2017; Views: 5776; Downloads: 0
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