English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Many methods to computationally predict red blood cell damage have beenintroduced, and among these are Lagrangian methods which track the cells alongtheir pathlines. Such methods typically do not explicitly include cell-cellinteractions. Due to the high volume fraction of red blood cells in blood,these interactions could impact cell mechanics and thus, the amount of damagecaused by the flow. To investigate this question, cell-resolved simulations ofred blood cells in shear flow were performed for multiple interacting cells, aswell as for single cells in unbounded flow at an effective viscosity.Simulations run without adjusting the bulk viscosity produced larger errorsunilaterally and were not considered further for comparison. We show that aperiodic box containing at least 8 cells and a spherical harmonic of degreelarger than 10 are necessary to produce converged higher-order statistics. Themaximum difference between the single-cell and multiple-cell cases in terms ofpeak strain was 3.7%. To achieve this agreement, one must use the whole bloodviscosity and average over multiple cell orientations when adopting asingle-cell simulation approach. There were some differences between the twomodels in terms of average strain (maximum difference of 13%). However, giventhe accuracy of the single-cell approach in predicting the maximum strain,which is useful in hemolysis prediction, and its computational cost that isorders of magnitude less than the multiple-cell approach, one may use it as anaffordable cell-resolved approach for hemolysis prediction.

Analysis of the suitability of an effective viscosity to represent interactions between red blood cells