Tensors are effective representations for complex and time-varying networks. The factorization of a tensor provides a high-quality low-rank compact basis for each dimension of the tensor, which facilitates the interpretation of important structures of the represented data. Many existing tensor factorization (TF) methods assume there is one tensor that needs to be decomposed to low-rank factors....

Abstract We present radio and optical afterglow observations of the TeV-bright long Gamma Ray Burst (GRB) 190114C at a redshift z = 0.425, which was detected by MAGIC telescope. Our with ALMA, ATCA, uGMRT were obtained our low frequency observing campaign range from ∼1 to ∼140 days after burst done three telescopes spanning up ∼25 burst. Long term radio/mm reveal complex nature afterglow, does ...

The study of the electroencephalographic (EEG) signal contributes to sleep analysis. In the microstructure of the sleep EEG signal, transient patterns are characterized by their frequency content and their time duration. The Time– Frequency Representations (TFR) take into account these time – frequency characteristics but the lower energy transient signals are masked by higher energy ones. In o...

Abstract A new approach for modeling lead–lag relationships in high-frequency financial markets is proposed. The model accommodates non-synchronous trading and market microstructure noise as well intraday variations of relationships, which are essential empirical applications. simple statistical methodology analyzing the proposed presented, well. illustrated by an study to detect between S&...

This article is focused on the in vitro experimental verification of basic necessary conditions for valid interpretation an ion parametric resonance prediction model biological reaction externally applied, extremely low-frequency magnetic field. Experiments are performed organism Saccharomyces cerevisiae strain BY4741, with intention to target calcium ions, which already produced interesting pr...