The Spectral Dimension on Branched Polymer Ensembles

Author(s):  
Thordur Jonsson ◽  
John F. Wheater
1998 ◽  
Vol 422 (1-4) ◽  
pp. 76-81 ◽  
Author(s):  
João D. Correia ◽  
John F. Wheater

1990 ◽  
Vol 51 (21) ◽  
pp. 2395-2398 ◽  
Author(s):  
Shigeyuki Komura ◽  
Artur Baumgärtner

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Sopan Nangare ◽  
Yogini Vispute ◽  
Rahul Tade ◽  
Shailesh Dugam ◽  
Pravin Patil

Abstract Background Citric acid (CA) is a universal plant and animal-metabolism intermediate. It is a commodity chemical processed and widely used around the world as an excellent pharmaceutical excipient. Notably, CA is offering assorted significant properties viz. biodegradability, biocompatibility, hydrophilicity, safety, etc. Therefore, CA is broadly employed in many sectors including foodstuffs, beverages, pharmaceuticals, nutraceuticals, and cosmetics as a flavoring agent, sequestering agent, buffering agent, etc. From the beginning, CA is a regular ingredient for cosmetic pH-adjustment and as a metallic ion chelator in antioxidant systems. In addition, it is used to improve the taste of pharmaceuticals such as syrups, solutions, elixirs, etc. Furthermore, free CA is also employed as an acidulant in mild astringent preparations. Main text In essence, it is estimated that the functionality present in CA provides excellent assets in pharmaceutical applications such as cross-linking, release-modifying capacity, interaction with molecules, capping and coating agent, branched polymer nanoconjugates, gas generating agent, etc. Mainly, the center of attention of the review is to deliver an impression of the CA-based pharmaceutical applications. Conclusion In conclusion, CA is reconnoitered for multiple novels pharmaceutical and biomedical/applications including as a green crosslinker, release modifier, monomer/branched polymer, capping and coating agent, novel disintegrant, absorption enhancer, etc. In the future, CA can be utilized as an excellent substitute for pharmaceutical and biomedical applications. Graphical abstract


2006 ◽  
Vol 125 (10) ◽  
pp. 104901 ◽  
Author(s):  
Piotr Romiszowski ◽  
Andrzej Sikorski

2009 ◽  
Vol 20 (12) ◽  
pp. 1195-1198 ◽  
Author(s):  
Peng Zhang ◽  
Ying Feng ◽  
Qian Sang ◽  
Xiucai Dong ◽  
Rui Zhou ◽  
...  

2009 ◽  
Vol 131 (13) ◽  
pp. 4783-4787 ◽  
Author(s):  
Giuseppe Prencipe ◽  
Scott M. Tabakman ◽  
Kevin Welsher ◽  
Zhuang Liu ◽  
Andrew P. Goodwin ◽  
...  

2012 ◽  
Vol 29 (3) ◽  
pp. 244-250 ◽  
Author(s):  
L. Flöer ◽  
B. Winkel

AbstractToday, image denoising by thresholding of wavelet coefficients is a commonly used tool for 2D image enhancement. Since the data product of spectroscopic imaging surveys has two spatial dimensions and one spectral dimension, the techniques for denoising have to be adapted to this change in dimensionality. In this paper we will review the basic method of denoising data by thresholding wavelet coefficients and implement a 2D–1D wavelet decomposition to obtain an efficient way of denoising spectroscopic data cubes. We conduct different simulations to evaluate the usefulness of the algorithm as part of a source finding pipeline.


1981 ◽  
Vol 40 (4) ◽  
pp. 477
Author(s):  
Anthony Olcott ◽  
W. W. Rowe
Keyword(s):  

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