17 research outputs found
Organization of networks with tagged nodes and biased links: a priori distinct communities. The case of Intelligent Design Proponents and Darwinian Evolution Defenders
Among topics of opinion formation it is of interest to observe the
characteristics of networks with a priori distinct communities. As an
illustration, we report on the citation network(s) unfolded in the recent
decades through web available works belonging to selected members of the
Neocreationist and Intelligent Design Proponents (IDP) and the Darwinian
Evolution Defenders (DED) communities. An adjacency matrix of tagged nodes is
first constructed; it is not symmetric. A generalization of considerations
pertaining to the case of networks with biased links, directed or undirected,
is thus presented. The main characteristic coefficients describing the
structure of such partially directed networks with tagged nodes are outlined.
The structural features are discussed searching for statistical aspects,
equivalence or not of subnetworks through the degree distributions, each
network assortativity, the global and local clustering coefficients and the
Average Overlap Indices. The various closed and open triangles made from nodes,
moreover distinguishing the community, are especially listed to calculate the
clustering characteristics. The distribution of elements in the rectangular
submatrices are specially examined since they represent inter-community
connexions. The emphasis being on distinguishing the number of vertices
belonging to a given community. Using such informations one can distinguish
between opinion leaders, followers and main rivals and briefly interpret their
relationships through psychological-like conditions intrinsic to behavior rules
in either community. Considerations on other controversy cases with similar
social constraints are outlined, as well as suggestions on further, more
general, work deduced from our observations on such networks.Comment: 40 pages, 61 references, 7 Tables, 11 Figures, 2 Appendices (giving
the adjacency matrices
An optimized b-value distribution for triexponential intravoxel incoherent motion (IVIM) in the liver.
Purpose To find an optimized b-value distribution for reproducible triexponential intravoxel incoherent motion (IVIM) exams in the liver.Methods A numeric optimization of b-value distributions was performed using the triexponential IVIM equation and 27 different IVIM parameter sets. Starting with an initially optimized distribution of 6 b-values, the number of b-values was increased stepwise. Each new b-value was chosen from a set of 64 predefined b-values based on the computed summed relative mean error of the fitted triexponential IVIM parameters. This process was repeated for up to 100 b-values. In simulations and in vivo measurements, optimized b-value distributions were compared to 4 representative distributions found in literature.Results The first 16 optimized b-values were 0, 0.3, 0.3, 70, 200, 800, 70, 1, 3.5, 5, 70, 1.2, 6, 45, 1.5, and 60 in units of s/mm2 . Low b-values were much more frequent than high b-values. The optimized b-value distribution resulted in a higher fit stability compared to distributions used in literature in both, simulation and in vivo measurements. Using more than 6 b-values, ideally 16 or more, increased the fit stability considerably.Conclusion Using optimized b-values, the fit uncertainty in triexponential IVIM can be largely reduced. Ideally, 16 or more b-values should be acquired
Echo time dependence of biexponential and triexponential intravoxel incoherent motion parameters in the liver.
Purpose Intravoxel incoherent motion (IVIM) studies are performed with different acquisition protocols. Comparing them requires knowledge of echo time (TE) dependencies. The TE-dependence of the biexponential perfusion fraction f is well-documented, unlike that of its triexponential counterparts f 1 and f 2 and the biexponential and triexponential pseudodiffusion coefficients D * , D1∗ , and D2∗ . The purpose was to investigate the TE-dependence of these parameters and to check whether the triexponential pseudodiffusion compartments are associated with arterial and venous blood. Methods Fifteen healthy volunteers (19-58 y; mean: 24.7 y) underwent diffusion-weighted imaging of the abdomen with 24 b-values (0.2-800 s/mm 2 ) at TEs of 45, 60, 75, and 90 ms. Regions of interest (ROIs) were manually drawn in the liver. One set of bi- and triexponential IVIM parameters per volunteer and TE was determined. The TE-dependence was assessed with the Kruskal-Wallis test. Results TE-dependence was observed for f (P < .001), f 1 (P = .001), and f 2 (P < .001). Their median values at the four measured TEs were: f: 0.198/0.240/0.274/0.359, f 1 : 0.113/0.139/0.146/0.205, f 2 : 0.115/0.155/0.182/0.194. D, D * , D1∗ , and D2∗ showed no significant TE-dependence. Their values were: diffusion coefficient D (10 -4 mm 2 /s): 9.45/9.63/9.75/9.41, biexponential D * (10 -2 mm 2 /s): 5.26/5.52/6.13/5.82, triexponential D1∗ (10 -2 mm 2 /s): 1.73/2.91/2.25/2.51, triexponential D2∗ (mm 2 /s): 0.478/1.385/0.616/0.846. Conclusion f 1 and f 2 show similar TE-dependence as f, ie, increase with rising TE; an effect that must be accounted for when comparing different studies. The diffusion and pseudodiffusion coefficients might be compared without TE correction. Because of the similar TE-dependence of f 1 and f 2 , the triexponential pseudodiffusion compartments are most probably not associated to venous and arterial blood
Terahertz Quantum Sensing
Quantum sensing is highly attractive for accessing spectral regions in which the detection of photons is technically challenging: sample information is gained in the spectral region of interest and transferred via biphoton correlations into another spectral range, for which highly sensitive detectors are available. This is especially beneficial for terahertz radiation, where no semiconductor detectors are available and coherent detection schemes or cryogenically cooled bolometers have to be employed. Here, we report on the first demonstration of quantum sensing in the terahertz frequency range in which the terahertz photons interact with a sample in free space and information about the sample thickness is obtained by the detection of visible photons. As a first demonstration, we show layer thickness measurements with terahertz photons based on biphoton interference. As non-destructive layer thickness measurements are of high industrial relevance, our experiments might be seen as a first step towards industrial quantum-sensing applications