9 research outputs found
Hierarchical characterization of complex networks
While the majority of approaches to the characterization of complex networks
has relied on measurements considering only the immediate neighborhood of each
network node, valuable information about the network topological properties can
be obtained by considering further neighborhoods. The current work discusses on
how the concepts of hierarchical node degree and hierarchical clustering
coefficient (introduced in cond-mat/0408076), complemented by new hierarchical
measurements, can be used in order to obtain a powerful set of topological
features of complex networks. The interpretation of such measurements is
discussed, including an analytical study of the hierarchical node degree for
random networks, and the potential of the suggested measurements for the
characterization of complex networks is illustrated with respect to simulations
of random, scale-free and regular network models as well as real data
(airports, proteins and word associations). The enhanced characterization of
the connectivity provided by the set of hierarchical measurements also allows
the use of agglomerative clustering methods in order to obtain taxonomies of
relationships between nodes in a network, a possibility which is also
illustrated in the current article.Comment: 19 pages, 23 figure
Study on sustainable water use of the Haihe River Basin using ecological network analysis
Die Vielschichtigkeit von Religion und Staat in den Vereinigten Staaten von Amerika: Trennung, Integration, Akkommodation
The reliability and feasibility of non-contrast adenosine stress cardiovascular magnetic resonance T1 mapping in patients on haemodialysis
The Limits of Connectivity: Literary Knowledge of Globalization in Thomas Meineke’s Hellblau
Coronary microvascular dysfunction in cardiovascular disease:Lessons from large animal models
The coronary microvasculature is responsible for maintaining local matching of myocardial blood flow to myocardial demand of oxygen and nutrients. Long term adjustment of myocardial blood flow involves structural changes in microvascular density and diameter while fine-tuning of flow is achieved via adaptations in vascular smooth muscle tone in the coronary microvasculature.In the past several decades, considerable research efforts have been directed at understanding structural and functional microvascular adaptations involved in matching myocardial oxygen supply and demand and how these mechanisms are affected by various diseases. In this review we will discuss our current understanding of the mechanisms underlying the regulation of coronary microvascular tone under healthy physiological conditions, and the role of microvascular dysfunction in obstructive and non-obstructive coronary artery disease, as studied in large animal (particularly swine) models and confirmed in human studies. Future studies should be directed at further unraveling the mechanisms of coronary microvascular dysfunction in different disease entities in order to, and ultimately directed at improving microvascular function as a therapeutic target in patients with ischemic heart disease
