Application of Parallel Factor Analysis (PARAFAC) to Electrophysiological Data [PDF]
Frontiers in Neuroinformatics, 2015 The identification of important features in multi-electrode recordings requires the decomposition of data in order to disclose relevant features and to offer a clear graphical representation. This can be a demanding task.
Sarah Katharina eSchmitz +9 more
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parafac4microbiome: exploratory analysis of longitudinal microbiome data using parallel factor analysis [PDF]
mSystemsStudies investigating microbial temporal dynamics are increasingly common, leveraging longitudinal designs that collect microbial abundance data across multiple time points from the same subjects.
G. R. van der Ploeg +3 more
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The Frontal Area with Higher Frequency Response Is the Principal Feature of Laser-Evoked Potentials in Rats with Chronic Inflammatory Pain: A Parallel Factor Analysis Study [PDF]
Frontiers in Neurology, 2017 Chronic pain is a pathological developing course of pain. In clinic, an objective indicator is needed for diagnosing and better controlling chronic pain.
Jing Wang, Juan Wang, You Wan, Xiaoli Li
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Rapid and simple analysis of amphetamine-type illegal drugs using excitation–emission matrix fluorescence coupled with parallel factor analysis [PDF]
Forensic Sciences Research, 2019 Nowadays, the abuse of illegal drugs has been an increasingly grim problem in the world. Excitation–emission matrix fluorescence combined with parallel factor analysis was used to make a quantitative analysis of the simulated amphetamine-type illegal ...
Buyi Xu, Yi Ye, Linchuan Liao
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Estimating the Concentration and Biodegradability of Organic Matter in 22 Wastewater Treatment Plants Using Fluorescence Excitation Emission Matrices and Parallel Factor Analysis [PDF]
Sensors, 2014 This study aimed at monitoring the changes of fluorescent components in wastewater samples from 22 Korean biological wastewater treatment plants and exploring their prediction capabilities for total organic carbon (TOC), dissolved organic carbon (DOC ...
Liyang Yang, Hyun-Sang Shin, Jin Hur
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Agronomy, 2021 Soil-dissolved organic matter (DOM) drives the carbon (C) and nitrogen (N) cycles in agroecosystems. Despite many studies on DOM dynamics, hardly any attention has been directed toward DOM quality, particularly DOM composition.
Qin Chen +10 more
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Frontiers in Environmental Chemistry, 2022 The molecular mass distribution (MMD) and fluorescence properties of dissolved organic matter (DOM) are important characteristics for tracing and predicting its pathways, processes, and fate in aquatic systems. For the first time, asymmetrical flow field-
C. W. Cuss, C. Guéguen
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Determination of Oil Pollutants by Microchannel Laser Induced Fluorescence Technology
IEEE Access, 2022 Laser-induced fluorescence technology is an effective method for detecting oil pollutants. The laser induced fluorescence detection system was developed, and four parallel microchannel sample pools were designed to improve the detection accuracy of ...
Pengfei Cheng +3 more
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Frontiers in Environmental Chemistry, 2022 Although river mixing occurs widely in nature, the corresponding evolution of dissolved organic matter (DOM) composition remains poorly understood. Here, surface water samples were collected at multiple transects in the lower Athabasca River (LAR) under ...
Jin-Ping Xue +6 more
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Application of PARAFAC Technique to Compare Fluorescence Property of Different Dissolved Organic Matters [PDF]
대한환경공학회지, 2023 Objectives It provides a detailed procedure for analyzing dissolved organic matter (DOM) by the PARAFAC technique and aims to identify compare different fluorescent components of DOM with various water sources.
Dokyeong Lim, Mi-Jin Choi, Jongkwan Park
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