scholarly journals Poly(vinyl alcohol) Physical Hydrogel Nanoparticles, Not Polymer Solutions, Exert Inhibition of Nitric Oxide Synthesis in Cultured Macrophages

2013 ◽  
Vol 14 (5) ◽  
pp. 1687-1695 ◽  
Author(s):  
Sidsel Ø. Andreasen ◽  
Siow-Feng Chong ◽  
Benjamin M. Wohl ◽  
Kenneth N. Goldie ◽  
Alexander N. Zelikin
Keyword(s):  
Nitric Oxide ◽  
Vinyl Alcohol ◽  
Polymer Solutions ◽  
Poly Vinyl Alcohol ◽  
Nitric Oxide Synthesis ◽  
Hydrogel Nanoparticles

Solid Films of Blended Poly(Vinyl Alcohol)/Poly(Vinyl Pyrrolidone) for Topical S-Nitrosoglutathione and Nitric Oxide Release

2005 ◽  
Vol 94 (5) ◽  
pp. 994-1003 ◽  
Author(s):  
Amedea Barozzi Seabra ◽  
Lilian Lúcia da Rocha ◽  
Marcos N. Eberlin ◽  
Marcelo Ganzarolli de Oliveira
Keyword(s):  
Nitric Oxide ◽  
Vinyl Alcohol ◽  
Vinyl Pyrrolidone ◽  
Poly Vinyl Alcohol ◽  
Nitric Oxide Release ◽  
Solid Films ◽  
Poly Vinyl Pyrrolidone

Hydrogels: Liposomal Templating, Association with Mammalian Cells, and Cytotoxicity of Poly(vinyl alcohol) Physical Hydrogel Nanoparticles (Part. Part. Syst. Charact. 6/2013)

2013 ◽  
Vol 30 (6) ◽  
pp. 566-566
Author(s):  
Sidsel Ø. Andreasen ◽  
Siow-Feng Chong ◽  
Mille B. L. Kryger ◽  
Bettina E. B. Jensen ◽  
Almar Postma ◽  
...  
Keyword(s):  
Vinyl Alcohol ◽  
Mammalian Cells ◽  
Poly Vinyl Alcohol ◽  
Hydrogel Nanoparticles

Liposomal Templating, Association with Mammalian Cells, and Cytotoxicity of Poly(vinyl alcohol) Physical Hydrogel Nanoparticles

2013 ◽  
Vol 30 (6) ◽  
pp. 514-522 ◽  
Author(s):  
Sidsel Ø. Andreasen ◽  
Siow-Feng Chong ◽  
Mille B. L. Kryger ◽  
Bettina E. B. Jensen ◽  
Almar Postma ◽  
...  
Keyword(s):  
Vinyl Alcohol ◽  
Mammalian Cells ◽  
Poly Vinyl Alcohol ◽  
Hydrogel Nanoparticles

scholarly journals Cryostructuring of Polymeric Systems †: Application of Deep Neural Networks for the Classification of Structural Features Peculiar to Macroporous Poly(vinyl alcohol) Cryogels Prepared without and with the Additives of Chaotropes or Kosmotropes

Molecules ◽  
2020 ◽  
Vol 25 (19) ◽  
pp. 4480
Author(s):  
Ilya I. Kurochkin ◽  
Ilya N. Kurochkin ◽  
Olga Yu. Kolosova ◽  
Vladimir I. Lozinsky
Keyword(s):  
Neural Networks ◽  
Vinyl Alcohol ◽  
Network Architecture ◽  
Deep Neural Networks ◽  
Polymer Solutions ◽  
Total Porosity ◽  
Structural Features ◽  
Poly Vinyl Alcohol ◽  
Macroporous Structure

Macroporous poly(vinyl alcohol) cryogels (PVACGs) are physical gels formed via cryogenic processing of polymer solutions. The properties of PVACGs depend on many factors: the characteristics and concentration of PVA, the absence or presence of foreign solutes, and the freezing-thawing conditions. These factors also affect the macroporous morphology of PVACGs, their total porosity, pore size and size distribution, etc. In this respect, there is the problem with developing a scientifically-grounded classification of the morphological features inherent in various PVACGs. In this study PVA cryogels have been prepared at different temperatures when the initial polymer solutions contained chaotropic or kosmotropic additives. After the completion of gelation, the rigidity and heat endurance of the resultant PVACGs were evaluated, and their macroporous structure was investigated using optical microscopy. The images obtained were treated mathematically, and deep neural networks were used for the classification of these images. Training and test sets were used for their classification. The results of this classification for the specific deep neural network architecture are presented, and the morphometric parameters of the macroporous structure are discussed. It was found that deep neural networks allow us to reliably classify the type of additive or its absence when using a combined dataset.

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