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Open AccessJournal ArticleDOI

The Physiological Principle of Minimum Work: I. The Vascular System and the Cost of Blood Volume.

Cecil D. Murray
- 01 Mar 1926 - 
- Vol. 12, Iss: 3, pp 207-214
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This article is published in Proceedings of the National Academy of Sciences of the United States of America.The article was published on 1926-03-01 and is currently open access. It has received 1820 citations till now. The article focuses on the topics: Blood volume.

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Three-Dimensional Model of the Human Airway Tree Based on a Fractal Branching Algorithm

TL;DR: The author introduces a three-dimensional (3D) model of the human airway tree generated by a deterministic algorithm based on a physiological principle that is quite similar to the real one and its morphometric characteristics are in good agreement with those reported in the literature.
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Analysis of hemodynamics and heat transfer of nanoparticle-injected atherosclerotic patient: Considering the drag force and slip between phases of different particle shapes and volume fractions

TL;DR: In this article, a two-phase mixture technique is adopted to investigate the effects of the shape and volume fraction of injected nanoparticles on hemodynamics and heat transfer in diabetic and non-diabetic atherosclerotic patients to avoid serious damage to the plaque during transport.
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Cohort-based multiscale analysis of hemodynamic-driven growth and remodeling of the embryonic pharyngeal arch arteries.

TL;DR: A methodological pipeline from high-resolution nano-computed tomography imaging and live-imaging flow measurements to multiscale pulsatile computational models is developed to identify distinct relationships between hemodynamic parameters and the rapidly morphing pharyngeal arch manifold.
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Travel in city road networks follows similar transport trade-off principles to neural and plant arbors.

TL;DR: The theory of Pareto optimality is used to study this design trade-off in the road networks of 101 cities, with wide-ranging population sizes, land areas and geographies, and finds that most cities analysed lie near the Pare to front and are significantly closer to the front than expected by alternate design structures.
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Augmenting vascular disease diagnosis by vasculature-aware unsupervised learning

TL;DR: The authors present VasNet, a vasculature-aware unsupervised learning algorithm that augments pathovascular recognition from small sets of unlabelled fluorescence and digital subtraction angiography images that demonstrates the utility of their diagnostic approach on vascular images of thrombosis, internal bleeding and colitis.
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