Results 71 to 80 of about 39,346 (217)
Topological Time Series Analysis
Notices of the American Mathematical Society, 2019 Time series are ubiquitous in our data rich world, Jose A Perea describes how ideas from dynamical systems and topological data analysis can be combined to gain insights from time-varying data.
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
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FEBS Letters, EarlyView.The process of internalization of the Shiga toxin A subunit via formation of a complex with the Shiga toxin B subunit, which specifically binds to the Gb3 receptor. The peptide is designed to act as a carrier of drugs into cancer cells. Here, we explored the potential of peptides derived from the catalytic A subunit of Shiga toxin (STxA) to be drug ...
Giulia Opassi +6 more
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Univariant time series analysis applied to ozone forecasting in the city of Cali, Colombia
Revista Facultad de Ingeniería Universidad de Antioquia, 2014 The modelling results of tropospheric ozone concentration in the urban area of Cali, Colombia, suitable for short term forecasting, are presented. Results were obtained by using an univariate time series analysis.
Mauricio Jaramillo Ayerbe +4 more
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On Consistency in Time Series Analysis
The Annals of Statistics, 1978 A number of statistics that arise in time series analysis can be represented as the sum of a partial realization of a possibly serially dependent and nonstationary discrete-parameter stochastic process. The almost sure and $L_p, p > 1$, convergence of such statistics is investigated, under various moment conditions. The results are applied to the least
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The Econometric Analysis of Economic Time Series
International Statistical Review / Revue Internationale de Statistique, 1983 AbstractThis overview proposes a general framework linking economic analysis to a reduction‐based statistical methodology based on parameter change, expectations and contingent plans, conditioning and weak exogeneity. Both long‐run economic theory and dynamic adjustment are discussed and general‐to‐specific modelling is linked to the theory of ...
Hendry, D, Richard, J
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Discerning protein pools by selective staining with self‐labeling tags
FEBS Letters, EarlyView.Cell surface proteins have an intra‐ and extracellular pool. Combining genetic fusion to self‐labeling tags that can be addressed with small molecule fluorophores allows separating these pools. We highlight recent developments and techniques for state‐of‐the‐art interrogation of cell surface proteins in the complex tissue setting.
Kati Fischermanns, Johannes Broichhagen
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Complexity Analysis of Environmental Time Series
EntropySmall, forested catchments are prototypes of terrestrial ecosystems and have been studied in several disciplines of environmental science over several decades.
Holger Lange, Michael Hauhs
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Time Series Analysis Using Composite Multiscale Entropy
Entropy, 2013 Multiscale entropy (MSE) was recently developed to evaluate the complexity of time series over different time scales. Although the MSE algorithm has been successfully applied in a number of different fields, it encounters a problem in that the ...
Kung-Yen Lee +4 more
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