Results 61 to 70 of about 211,599 (259)

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Frequent State Transition Patterns of Multivariate Time Series

open access: yesIEEE Access, 2019
Sequence pattern discovery is a key issue in multivariate time series analysis. Popular approaches first obtain the pattern of each single-variate time series and then obtain cross-variate associations.
Zhi-Heng Zhang, Fan Min
doaj   +1 more source

Si‐Doped Nanocrystalline Diamond as Highly Sensitive Luminescence Thermometer for the Physiological Temperature Range

open access: yesAdvanced Functional Materials, EarlyView.
In this work, diamonds with negative charged silicon‐vacancy (SiV−) centers have been designed for use as thermometers in biomedical applications. Multiparametric analysis of the emission characteristics of the SiV− centers provides extraordinary sensitivity for temperature detection in the physiological temperature range.
María Gragera   +6 more
wiley   +1 more source

ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs

open access: yesMachine Learning and Knowledge Extraction
Large language models (LLMs) have recently demonstrated notable performance, particularly in addressing the challenge of extensive data requirements when training traditional forecasting models.
Jinglei Pei   +5 more
doaj   +1 more source

Volatile Relay Biosensing and Mobile Phone Imaging for Detection of Influenza Virus

open access: yesAdvanced Functional Materials, EarlyView.
Detection of volatile organic compounds is performed via a coupled enzymatic assay with mobile phone detection of the signal. Specific application demonstrated herein is the detection of influenza virus, across multiple levels of biological complexity, up to patient‐derived samples.
Dante G. Andersen   +7 more
wiley   +1 more source

Sulfation‐Tunable Peptide‐Glycosaminoglycan Hydrogels for Hematopoietic Stem and Progenitor Cell Expansion

open access: yesAdvanced Functional Materials, EarlyView.
Co‐assembly of rationally designed glycosaminoglycan‐binding peptides with sulfated glycosaminoglycans yields supramolecular hydrogels with tunable mechanics and matrix‐mediated cytokine retention. The glycosaminoglycans thereby act as cofactors, driving a coil‐to‐β‐sheet transition that triggers gelation.
Shirel Veretnik   +8 more
wiley   +1 more source

Mechanotransduction of Magnetically Applied Forces Leads to Mechanical Stiffening of Platelet‐Rich Plugs

open access: yesAdvanced Healthcare Materials, EarlyView.
A microfluidic device with magnetic microposts was used to assess platelet mechanobiology. The oscillatory actuation of posts with embedded iron particles was dampened by the dynamic stiffening of the platelet‐rich plugs. This stiffening process increased with applied load, but inhibiting platelet activation (ASA) or myosin contractility (blebbistatin)
Nikita Taparia   +4 more
wiley   +1 more source

Multivariate analysis in vector time series [PDF]

open access: yes, 2001
This paper reviews the applications of classical multivariate techniques for discrimination, clustering and dimension reduction for time series data. It is shown that the discrimination problem can be seen as a model selection problem. Some of the results obtained in the time domain are reviewed.
Peña, Daniel, Galeano, Pedro
openaire   +2 more sources

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

DiffTST: Diff Transformer for Multivariate Time Series Forecast

open access: yesIEEE Access
Deep learning models employing the Transformer architecture have demonstrated exceptional performance in the field of multivariate time series forecasting research.
Song Yang   +5 more
doaj   +1 more source

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