Results 241 to 250 of about 2,902,055 (272)

Angioinvasion severity and admission GCS predict outcomes in invasive central nervous system fungal infections. [PDF]

Front Cell Infect Microbiol
Jiang Y, Dai S, Pang R, Qin L, Zhang M, Liu H, Wang X, Zhang J, Li W.   +8 more
europepmc   +1 more source

Capillaroscopic patterns are associated with interstitial lung disease, skin fibrosis, anti-Th/To antibodies and quality of life in systemic sclerosis: a prospective cross-sectional study. [PDF]

Front Med (Lausanne)
Trefler J, Pasierb A, Lech L, Czaplicki H, Życińska K.   +4 more
europepmc   +1 more source

Dietary Patterns and an Adverse Mental Health Indicator Among School-Attending Brazilian Adolescents: Analyses of the 2015 and 2019 <i>PeNSE</i> Surveys. [PDF]

Nutrients
Vasconcellos LS, Costa WPD, Sena ABE, Grippa WR, Neto LCBS, Valenti VE, Medeiros WP, Arpini LDSB, Abreu LC.   +8 more
europepmc   +1 more source

LLM-as-a-judge for infection prevention and control and antimicrobial resistance impact: comparing three main LLMs vs. human experts' assessment. [PDF]

Front Public Health
Di Pumpo M, Villani L, Gualano MR, Buonsenso D, Raffaelli F, Donà D, Laurenti P, Maio V, Boccia S, Ricciardi W.   +9 more
europepmc   +1 more source

DETECTING DETERMINISM IN TIME SERIES WITH ORDINAL PATTERNS: A COMPARATIVE STUDY

International Journal of Bifurcation and Chaos, 2010
Detecting determinism in univariate and multivariate time series is difficult if the underlying process is nonlinear, and the noise level is high. In a previous paper, the authors proposed a method based on observable ordinal patterns. This method exploits the robustness of admissible ordinal patterns against observational noise, and the super ...
José María Amigó, Samuel Zambrano, Miguel A. F. Sanjuán   +2 more
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Mining Ordinal Patterns For Data Cleaning

Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004., 2005
It is well recognized that sequential pattern mining plays an essential role in many scientific and business domains. In this paper, a new extension of sequential pattern, ordinal pattern, is proposed. An ordinal pattern is an ordinal sequence of attributes, whose values commonly occur in ascending order over data set.
Ya-Bo Liu, Dayou Liu
openaire   +2 more sources

Pipelined reconfigurable accelerator for ordinal pattern encoding

2014 IEEE 25th International Conference on Application-Specific Systems, Architectures and Processors, 2014
Ordinal analysis is a statistical method for analysing the complexity of time series. This method has been used in characterising dynamic changes in time series, with various applications such as financial risk modelling and biomedical signal processing. Ordinal pattern encoding is a fundamental calculation in ordinal analysis.
Ce Guo, Wayne Luk, Stephen Weston
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Ordinal pattern analysis tutorial

2022
Manuscript describing ordinal pattern analysis for repeated measures data and R package.
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Ordinal Pattern Analysis

1986
Our task in writing this chapter is to outline a strategy for analyzing data that we believe to be better suited to most psychological research than the most widely used statistical techniques (e.g., t, F, and chi square tests, product moment correlation, regression, covariance, discriminant, and factor analyses).
Warren Thorngate, Barbara Carroll
openaire   +1 more source