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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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Journal ArticleDOI

Thermal characteristics of tree-shaped microchannel nets for cooling of a rectangular heat sink

TL;DR: In this paper, the authors investigated conjugated fluid flow and heat transfer through tree-shaped branching microchannel networks, which is embedded in a rectangular heat sink, and showed that such channel networks have certain advantages over conventional parallel channel nets such as lower and more uniform temperature distribution and better stability in case of accidental blockage in channel segments.
Journal ArticleDOI

Relation between diameter and flow in major branches of the arch of the aorta.

TL;DR: The results show unequivocally that the relation between diameter and flow is governed by a 'square law' rather than the classical cube law, which suggests that the square law may apply at the first few levels of the arterial tree, while the cube law continues from there to perhaps the precapillary levels.
Book

The Physics of Coronary Blood Flow

Mair Zamir
TL;DR: In this paper, the authors focus on the dynamics and physics of coronary blood flow, and demonstrate how a disruption in these dynamics can affect coronary flow as significantly as can the obstruction of a blood vessel.
Journal ArticleDOI

Angiogenesis and hypertension

TL;DR: This work has shown that genetic and fetal influences appear to have significant effects in determining impaired vascular development as an early cause of essential hypertension.
Journal ArticleDOI

Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition

TL;DR: The proposed COSFIRE filters are conceptually simple and easy to implement and are versatile keypoint detectors and are highly effective in practical computer vision applications.
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