Formation and Structure of End-Linked Elastomer Networks

1982 ◽  
Vol 55 (1) ◽  
pp. 1-22 ◽  
Author(s):  
Karel Dušek

Abstract The network structure of end-linked polymer networks prepared from telechelic polymers is determined mainly by the functionality distribution of the telechelic polymer, the relative reactivity of the functional groups, and the conditions of network formation. The main feature of network formation by end-linking (by a step reaction) is a relatively high critical conversion at the gel point and a relatively narrow range of conversions available for the build-up of the network structure. Therefore, the final equilibrium properties (modulus and degree of swelling) are rather sensitive to cyclization, incompleteness of the reaction, and possible errors in the determination of the content of functional groups or functionality. The wastage of bonds in elastically inactive cycles is rather low, amounting to several per cent, but its effect on the concentration of EANC's is not negligible. In multicomponent systems, where two or more structurally differing components contain groups of the same kind, chemical clustering (e.g., formation of hard clusters) occurs and affects the concentration of EANC's as well as a number of physical properties. For polyurethane networks, mechanical, dielectric and optical measurements indicate that networks of poly(oxypropylene)triol and diisocyanate are more homogeneous than those of poly(oxypropylene)diols, 1,1,1-trimethylolpropane, and diisocyanate, and that the two-stage process yields more homogeneous networks than the one-stage one. The correlations between the concentration of EANC's and the gel fraction can be generalized and employed in examining the rubber elasticity theories or the degree of crosslinking of industrially important elastomer networks. In addition to the common features, the endlinking processes have their own specificities given by differences in the crosslinking mechanisms and, sometimes, in physical interactions. An example of a more complex network formation (and a correspondingly more difficult theoretical treatment) is crosslinking of carboxyl-terminated rubbers with diepoxides.

2014 ◽  
Vol 13 (2) ◽  
Author(s):  
Jaromír Kovářík ◽  
Marco J. van der Leij

AbstractThis paper first investigates empirically the relationship between risk aversion and social network structure in a large group of undergraduate students. We find that risk aversion is strongly correlated to local network clustering, that is, the probability that one has a social tie to friends of friends. We then propose a network formation model that generates this empirical finding, suggesting that locally superior information on benefits makes it more attractive for risk averse individuals to link to friends of friends. Finally, we discuss implications of this model. The model generates a positive correlation between local network clustering and benefits, even if benefits are distributed independently ex ante. This provides an alternative explanation of this relationship to the one given by the social capital literature. We also establish a linkage between the uncertainty of the environment and the network structure: risky environments generate more clustered and more unequal networks in terms of connectivity.


Micromachines ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 3
Author(s):  
Kyo-in Koo ◽  
Andreas Lenshof ◽  
Le Thi Huong ◽  
Thomas Laurell

In the field of engineered organ and drug development, three-dimensional network-structured tissue has been a long-sought goal. This paper presents a direct hydrogel extrusion process exposed to an ultrasound standing wave that aligns fibroblast cells to form a network structure. The frequency-shifted (2 MHz to 4 MHz) ultrasound actuation of a 400-micrometer square-shaped glass capillary that was continuously perfused by fibroblast cells suspended in sodium alginate generated a hydrogel string, with the fibroblasts aligned in single or quadruple streams. In the transition from the one-cell stream to the four-cell streams, the aligned fibroblast cells were continuously interconnected in the form of a branch and a junction. The ultrasound-exposed fibroblast cells displayed over 95% viability up to day 10 in culture medium without any significant difference from the unexposed fibroblast cells. This acoustofluidic method will be further applied to create a vascularized network by replacing fibroblast cells with human umbilical vein endothelial cells.


2021 ◽  
Author(s):  
Gabriele Ribeiro ◽  
Joberto S. B. Martins

Medical applications are increasingly using computing resources such as IoT sensors and network communications paradigms. An e-Health application requires a basic set of elements such as sensors, a communication framework, and a network structure adapted to the application's specific requirements. This work expands and develops a framework based on the Publish / Subscribe paradigm to develop PSIoT-Health. The PSIoT-Health framework focuses on medical applications that collect data produced in a distributed manner. The PSIoT-Health adapts the Pub/Sub model to the requirements of medical applications and proposes a solution for the production and consumption of data between producers and consumers of medical data in a distributed environment such as the one existing in a smart city.


2018 ◽  
Vol 10 (3) ◽  
pp. 34-85 ◽  
Author(s):  
Ying-Ju Chen ◽  
Yves Zenou, ◽  
Junjie Zhou

We consider a network model where individuals exert efforts in two types of activities that are interdependent. These activities can be either substitutes or complements. We provide a full characterization of the Nash equilibrium of this game for any network structure. We show, in particular, that quadratic games with linear best-reply functions aggregate nicely to multiple activities because equilibrium efforts obey similar formulas to that of the one-activity case. We then derive some comparative-statics results showing how own productivity affects equilibrium efforts and how network density impacts equilibrium outcomes. (JEL C72, D11, D85, Z13)


2011 ◽  
pp. 581-599
Author(s):  
Robert Gilles ◽  
Tabitha James ◽  
Reza Barkhi ◽  
Dimitrios Diamantaras

Social networks depict complex systems as graph theoretic models. The study of the formation of such systems (or networks) and the subsequent analysis of the network structures are of great interest. For information systems research and its impact on business practice, the ability to model and simulate a system of individuals interacting to achieve a certain socio-economic goal holds much promise for proper design and use of cyber networks. We use case-based decision theory to formulate a customizable model of information gathering in a social network. In this model, the agents in the network have limited awareness of the social network in which they operate and of the fixed, underlying payoff structure. Agents collect payoff information from neighbors within the prevailing social network, and they base their networking decisions on this information. Along with the introduction of the decision theoretic model, we developed software to simulate the formation of such networks in a customizable context to examine how the network structure can be influenced by the parameters that define social relationships. We present computational experiments that illustrate the growth and stability of the simulated social networks ensuing from the proposed model. The model and simulation illustrates how network structure influences agent behavior in a social network and how network structures, agent behavior, and agent decisions influence each other.


Author(s):  
Angel L. Meroño-Cerdan ◽  
Pedro Soto-Acosta ◽  
Carolina Lopez-Nicolas

This study seeks to assess the impact of collaborative technologies on innovation at the firm level. Collaborative technologies’ influence on innovation is considered here as a multi-stage process that starts at adoption and extends to use. Thus, the effect of collaborative technologies on innovation is examined not only directly, the simple presence of collaborative technologies, but also based on actual collaborative technologies’ use. Given the fact that firms can use this technology for different purposes, collaborative technologies’ use is measured according to three orientations: e-information, e-communication and e-workflow. To achieve these objectives, a research model is developed for assessing, on the one hand, the impact of the adoption and use of collaborative technologies on innovation and, on the other hand, the relationship between adoption and use of collaborative technologies. The research model is tested using a dataset of 310 Spanish SMEs. The results showed that collaborative technologies’ adoption is positively related to innovation. Also, as hypothesized, distinct collaborative technologies were found to be associated to different uses. In addition, the study found that while e-information had a positive and significant impact on innovation, e-communication and e-workflow did not.


2020 ◽  
Vol 21 (17) ◽  
pp. 6304
Author(s):  
Mako Kobayashi ◽  
Junpei Kadota ◽  
Yoshihide Hashimoto ◽  
Toshiya Fujisato ◽  
Naoko Nakamura ◽  
...  

Recent applications of decellularized tissue have included the use of hydrogels for injectable materials and three-dimensional (3D) bioprinting bioink for tissue regeneration. Microvascular formation is required for the delivery of oxygen and nutrients to support cell growth and regeneration in tissues and organs. The aim of the present study was to evaluate the formation of capillary networks in decellularized extracellular matrix (d-ECM) hydrogels. The d-ECM hydrogels were obtained from the small intestine submucosa (SIS) and the urinary bladder matrix (UBM) after decellularizing with sodium deoxycholate (SDC) and high hydrostatic pressure (HHP). The SDC d-ECM hydrogel gradually gelated, while the HHP d-ECM hydrogel immediately gelated. All d-ECM hydrogels had low matrix stiffness compared to that of the collagen hydrogel, according to a compression test. D-ECM hydrogels with various elastic moduli were obtained, irrespective of the decellularization method or tissue source. Microvascular-derived endothelial cells were seeded on d-ECM hydrogels. Few cells attached to the SDC d-ECM hydrogel with no network formation, while on the HHP d-ECM hydrogel, a capillary network structure formed between elongated cells. Long, branched networks formed on d-ECM hydrogels with lower matrix stiffness. This suggests that the capillary network structure that forms on d-ECM hydrogels is closely related to the matrix stiffness of the hydrogel.


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