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Okara-enriched fermented sorghum instant porridge: effects on mineral bioaccessibility and structural properties. [PDF]

Front Nutr
Adeyanju AA, Adebo OA.
europepmc   +1 more source

Exploring the In Vitro Anti-Inflammatory Effect of Citrus Fruit Hesperidin Supplementation. [PDF]

Food Sci Nutr
Zaidi SYR, Ahmed A, Sanghvi G, Roopashree R, Kashyap A, Mohammed NK, Niaz B, Saeed F, Jamil F, Akhter MN, Afzaal M, Ndagire CT.   +11 more
europepmc   +1 more source

Rolling Bearing Fault Diagnosis via Temporal-Graph Convolutional Fusion. [PDF]

Sensors (Basel)
Li F, Li Y, Wang D.
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Development and Characterization of an Oral Mucoadhesive Patch Containing Amla (<i>Phyllanthus emblica</i>) Bark and Fruit Extracts to Promote Healing of Oral Ulcers: An <i>In Vitro</i> Study. [PDF]

Int J Clin Pediatr Dent
Jairam LS, Deveswaran R, Khan FA, Naik ED, Tanzeem F, Dineshkumar S, Haleema H.   +6 more
europepmc   +1 more source

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Redundant graph Fourier transform

2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 2015
Signal processing on graphs is a new emerging field that processing high-dimensional data by spreading samples on networks or graphs. The new introduced definition of graph Fourier transform shows its importance in establishing the theory of frequency analysis or computational harmonic analysis on graph signal processing. We introduce the definition of
Xianwei Zheng, Yuanyan Tang, Jiantao Zhou, Lina Yang, Haoliang Yuan, Yulong Wang, Chunli Li   +6 more
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A windowed graph Fourier transform

2012 IEEE Statistical Signal Processing Workshop (SSP), 2012
The prevalence of signals on weighted graphs is increasing; however, because of the irregular structure of weighted graphs, classical signal processing techniques cannot be directly applied to signals on graphs. In this paper, we define generalized translation and modulation operators for signals on graphs, and use these operators to adapt the ...
David I Shuman, Benjamin Ricaud, Pierre Vandergheynst   +2 more
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On factor graphs and the Fourier transform

Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252), 2002
We introduce the concept of convolutional factor graphs, which represent convolutional factorizations of multivariate functions, just as conventional (multiplicative) factor graphs represent multiplicative factorizations. Convolutional and multiplicative factor graphs arise as natural Fourier transform duals.
Y. Mao, F.R. Kschischang
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