Mutual effect of fat and β-carotene on fat crystal network structure and carotenoid bleaching

2014 ◽  
Vol 66 ◽  
pp. 257-263 ◽  
Author(s):  
Sonia Calligaris ◽  
Fabio Valoppi ◽  
Luisa Barba ◽  
Monica Anese ◽  
Maria Cristina Nicoli
Keyword(s):  
Network Structure ◽  
Mutual Effect ◽  
Fat Crystal Network ◽  
Crystal Network ◽  
Β Carotene

scholarly journals β-Carotene degradation kinetics as affected by fat crystal network and solid/liquid ratio

2018 ◽  
Vol 105 ◽  
pp. 599-604 ◽  
Author(s):  
Sonia Calligaris ◽  
Fabio Valoppi ◽  
Luisa Barba ◽  
Monica Anese ◽  
Maria Cristina Nicoli
Keyword(s):  
Degradation Kinetics ◽  
Liquid Ratio ◽  
Fat Crystal Network ◽  
Crystal Network ◽  
Solid Liquid ◽  
Β Carotene ◽  
Carotene Degradation

Evolution of Fat Crystal Network Microstructure Followed by NMR

2011 ◽  
Vol 59 (5) ◽  
pp. 1767-1773 ◽  
Author(s):  
Matthieu Adam-Berret ◽  
Marine Boulard ◽  
Alain Riaublanc ◽  
François Mariette
Keyword(s):  
Fat Crystal Network ◽  
Crystal Network ◽  
Network Microstructure

Impacts of multitype interactions on epidemic spreading in temporal networks

2019 ◽  
Vol 31 (01) ◽  
pp. 2050020
Author(s):  
NingNing Dong ◽  
YueXing Han ◽  
Qing Li ◽  
Bing Wang
Keyword(s):  
Network Model ◽  
Network Structure ◽  
Transmission Rate ◽  
Mutual Effect ◽  
Observation Time ◽  
Dynamical Process ◽  
Epidemic Spreading ◽  
Epidemic Threshold ◽  
Immunization Strategy ◽  
Immunization Strategies

Individuals have often been found to interact with each other with different intensity in a dynamical way due to their various types in real networks, which plays a fundamental role in dynamical process such as epidemic spreading. To understand the relationship between the network structure and the spreading process, we propose a kind of temporal network model which contains diverse types of individuals. Furthermore, we also assume that the transmission rate is also related to the individuals’ types. Theoretical analysis and numerical results show that the epidemic threshold is affected by several factors, such as parameters described network structure and the ratio of intra-transmission rate to inter-transmission rate. Finally, we investigate immunization strategies for the network model and propose an immunization strategy by considering the mutual effect of individual’s degree connected with the same type and those with different types. By comparing a kind of immunization strategies, we find that the proposed immunization strategy is able to suppress the outbreak with less observation time and that it is able to suppress the outbreak almost as efficient as the target immunization strategy with appropriate observation time.

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