Results 111 to 120 of about 3,433,600 (309)
The Arrow of Time in Multivariate Time Series
We prove that a time series satisfying a (linear) multivariate autoregressive moving average (VARMA) model satisfies the same model assumption in the reversed time direction, too, if all innovations are normally distributed. This reversibility breaks down if the innovations are non-Gaussian.
Bauer, S., Schölkopf, B., Peters, J.
openaire +4 more sources
The mycobacterial CIII‐CIV respiratory supercomplex is an obligate assembly, encompassing several subunits of unknown functions. We have characterized the intracellular subunit AscF, and show that it is unlikely to be a sensor for metals or nucleotides, but is required for growth on nonfermentable energy sources, and likely works as an adapter for ...
Eni Rile +8 more
wiley +1 more source
Latvian GDP: The Optimal Time Series Forecasting Algorithm [PDF]
In this work an algorithm is developed for finding optimal time series model for GDP forecasting. Latvian GDP data with quarterly observation frequency is taken as time series. ARMA Analysis of Latvian GDP time series is performed.
Bezručko, Aleksandrs
core
Spatio-Temporal Symbolization of Multidimensional Time Series [PDF]
The present study proposes a new symbolization algorithm for multidimensional time series. We view temporal sequences as observed data generated by a dynamical system, and therefore the goal of symbolization is to estimate symbolic sequences that ...
Chen Yu +3 more
core +1 more source
Identification of the plant mitochondrial OrfX protein: A mass spectrometry approach
The mitochondrial genome of plants contains an open reading frame, orfx, which encodes a rare protein that has so far escaped mass spectrometric detection. The protein resembles the c‐subunit of bacterial twin‐arginine‐motif‐dependent protein translocases (TatC).
Matthias Döring +3 more
wiley +1 more source
Probabilistic Inference on Noisy Time Series (PINTS) [PDF]
Time series models are ubiquitous in science, arising in any situation where researchers seek to understand how a system’s behaviour changes over time. A key problem in time series modelling is inference; determining properties of the underlying system ...
Lambert, B +13 more
core +2 more sources
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Eigen-entropy based time series signatures to support multivariate time series classification
Most current algorithms for multivariate time series classification tend to overlook the correlations between time series of different variables. In this research, we propose a framework that leverages Eigen-entropy along with a cumulative moving window ...
Abhidnya Patharkar +6 more
doaj +1 more source
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Modeling Seasonal Time Series [PDF]
The paper studies the seasonal time series as elements of a (finite dimensional) Hilbert space and proves that it is always better to consider a trend together with a seasonal component even the time series seams not to has one.
Alexandra Colojoara
doaj

