THE INFLUENCE OF THE NETWORK DENSITY ON THE CREEP MODULUS OF RADIATION CROSSLINKED MATERIALS

BACKGROUND Researchers often spend a great deal of time and effort retrieving related journals for their studies and submissions. Authors often designate one article and then retrieve other articles that are related to the given one using PubMed’s service for finding cited-by or similar articles. However, to date, none present the association between cited-by and similar journals related to a given journal. Authors need one effective and efficient way to find related journals on the topic of mobile health research. OBJECTIVE This study aims (1) to show the related journals for a given journal by both cited-by and similarity criteria; (2) to present the association between cited-by and similarity journals related to a given journal; (3) to inspect the patterns of network density indices among clusters classified by social network analysis (SNA); (4) to investigate the feature of Kendall's coefficient(W) of concordance. METHODS We obtained 676 abstracts since 2013 from Medline based on the keywords of ("JMIR mHealth and uHealth"[Journal]) on June 30, 2018, and plotted the clusters of related journals on Google Maps by using MS Excel modules. The features of network density indices were examined. The Kendall coefficient (W) was used to assess the concordance of clusters across indices. RESULTS This study found that (1) the journals related to JMIR mHealth and uHealth are easily presented on dashboards; (2) a mild association(=0.14) exists between cited-by and similar journals related to JMIR mHealth and uHealth; (3) the median Impact Factor were 3.37 and 2.183 based on the representatives of top ten clusters grouped by the cited-by and similar journals, respectively; (4) all Kendall’s coefficients(i.e., 0.82, 0.89, 0.92, and 0.75) for the four sets of density centrality have a statistically significant concordance (p < 0.05). CONCLUSIONS SNA provides deep insight into the relationships of related journals to a given journal. The results of this research can provide readers with a knowledge and concept diagram to use with future submissions to a given journal in the subject category of Mobile Health Research. CLINICALTRIAL Not available

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Effects of a crosslinking agent on a supramolecular gel to control lost circulation

New Journal of Chemistry ◽

10.1039/d0nj05692h ◽

2021 ◽

Vol 45 (16) ◽

pp. 7089-7095

Author(s):

Bo Wang ◽

Jinsheng Sun ◽

Kaihe Lv ◽

Feng Shen ◽

Yingrui Bai

Keyword(s):

Crosslinking Agent ◽

Network Density ◽

Cross Linking ◽

Supramolecular Gel ◽

Lost Circulation ◽

The Cross

The Cr3+ can improve the cross-linking degree and network density of the GP-A gel, and enhance its strength and plugging ability to control lost circulation.

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Lectin and E. coli Binding to Carbohydrate-Functionalized Oligo(ethylene glycol)-Based Microgels: Effect of Elastic Modulus, Crosslinker and Carbohydrate Density

Molecules ◽

10.3390/molecules26020263 ◽

2021 ◽

Vol 26 (2) ◽

pp. 263

Author(s):

Fabian Schröer ◽

Tanja J. Paul ◽

Dimitri Wilms ◽

Torben H. Saatkamp ◽

Nicholas Jäck ◽

...

Keyword(s):

Escherichia Coli ◽

Elastic Modulus ◽

Ethylene Glycol ◽

Concanavalin A ◽

Specific Binding ◽

Network Density ◽

Carbohydrate Binding ◽

E Coli ◽

Surface Recognition ◽

Strong Anchoring

The synthesis of carbohydrate-functionalized biocompatible poly(oligo(ethylene glycol) methacrylate microgels and the analysis of the specific binding to concanavalin A (ConA) and Escherichia coli (E. coli) is shown. By using different crosslinkers, the microgels’ size, density and elastic modulus were varied. Given similar mannose (Man) functionalization degrees, the softer microgels show increased ConA uptake, possibly due to increased ConA diffusion in the less dense microgel network. Furthermore, although the microgels did not form clusters with E. coli in solution, surfaces coated with mannose-functionalized microgels are shown to bind the bacteria whereas galactose (Gal) and unfunctionalized microgels show no binding. While ConA binding depends on the overall microgels’ density and Man functionalization degree, E. coli binding to microgels’ surfaces appears to be largely unresponsive to changes of these parameters, indicating a rather promiscuous surface recognition and sufficiently strong anchoring to few surface-exposed Man units. Overall, these results indicate that carbohydrate-functionalized biocompatible oligo(ethylene glycol)-based microgels are able to immobilize carbohydrate binding pathogens specifically and that the binding of free lectins can be controlled by the network density.

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Conceptual Structure of Lodging-Context Studies: 1990-2016

Journal of Hospitality & Tourism Research ◽

10.1177/1096348018823912 ◽

2019 ◽

Vol 43 (4) ◽

pp. 573-594 ◽

Cited By ~ 1

Author(s):

Mehmet Ali Köseoglu ◽

Fevzi Okumus ◽

Eka Diraksa Putra ◽

Mehmet Yildiz ◽

Ismail Cagri Dogan

Keyword(s):

Human Resource Management ◽

Human Resource ◽

Conceptual Structure ◽

Early Growth ◽

Network Density ◽

Future Research ◽

Economic Activities ◽

Knowledge Domain ◽

Resource Based View ◽

Network Analyses

The purpose of this article is to analyze the conceptual structure of lodging-context research. In this regard, 2,632 articles published between 1990 and 2016 were analyzed utilizing network analyses. We find that the knowledge domain of lodging has been expanding, with greater focus on the business and economic activities of hotels. As the network density is low, lodging as a field is at a relatively early growth level and it is open for multidisciplinary collaborations. Articles related to strategy, marketing, and human resource management are relatively mature and well developed. However, some areas such as resource-based view, and cruise business still remain undeveloped and immature. Moreover, as one of the first studies in this field, this work provides an inclusive evaluation of the results, limitations, and suggestions for future research.

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A New Look at Measurements of Network Density

Rubber Chemistry and Technology ◽

10.5254/1.3538181 ◽

1986 ◽

Vol 59 (1) ◽

pp. 138-141 ◽

Cited By ~ 19

Author(s):

Robert A. Hayes

Keyword(s):

Hysteresis Loop ◽

Interaction Parameters ◽

Network Density ◽

Stress Strain ◽

Solvent Interaction ◽

Solvent Method ◽

Strain Data ◽

Good Agreement ◽

Polymer Solvent ◽

New Look

Abstract A two-solvent method for determining the polymer-solvent interaction parameters independently of stress-strain data is described. The values obtained are much lower than those reported previously. Network densities calculated from swelling data and these interaction parameters are in good agreement with those calculated from the return portion of a hysteresis loop at high elongations.

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