Anomalous Stretching Dynamics of Tagged Monomer of Branched Polymer in Layered Random Flows

2019 ◽  
Vol 177 (5) ◽  
pp. 936-959 ◽  
Author(s):  
Neha ◽  
Divya Katyal ◽  
Rama Kant
2021 ◽  
Vol 103 (3) ◽  
Author(s):  
F. Sultanov ◽  
M. Sultanova ◽  
G. Falkovich ◽  
V. Lebedev ◽  
Y. Liu ◽  
...  
Keyword(s):  

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 ◽  
...  

1994 ◽  
Vol 49 (5) ◽  
pp. 4185-4191 ◽  
Author(s):  
G. Oshanin ◽  
A. Blumen

2018 ◽  
Vol 2018 ◽  
pp. 1-42 ◽  
Author(s):  
Xiaomeng Shi ◽  
Zhirui Ye ◽  
Nirajan Shiwakoti ◽  
Offer Grembek

Complex movement patterns of pedestrian traffic, ranging from unidirectional to multidirectional flows, are frequently observed in major public infrastructure such as transport hubs. These multidirectional movements can result in increased number of conflicts, thereby influencing the mobility and safety of pedestrian facilities. Therefore, empirical data collection on pedestrians’ complex movement has been on the rise in the past two decades. Although there are several reviews of mathematical simulation models for pedestrian traffic in the existing literature, a detailed review examining the challenges and opportunities on empirical studies on the pedestrians complex movements is limited in the literature. The overall aim of this study is to present a systematic review on the empirical data collection for uni- and multidirectional crowd complex movements. We first categorized the complex movements of pedestrian crowd into two general categories, namely, external governed movements and internal driven movements based on the interactions with the infrastructure and among pedestrians, respectively. Further, considering the hierarchy of movement complexity, we decomposed the externally governed movements of pedestrian traffic into several unique movement patterns including straight line, turning, egress and ingress, opposing, weaving, merging, diverging, and random flows. Analysis of the literature showed that empirical data were highly rich in straight line and egress flow while medium rich in turning, merging, weaving, and opposing flows, but poor in ingress, diverging, and random flows. We put emphasis on the need for the future global collaborative efforts on data sharing for the complex crowd movements.


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