Search results for " network"
showing 10 items of 6428 documents
Civic resielience : botanical gardens in North America, birth, development, and enviromental awarness
2023
The chapter explores from a historical perspective the birth of botanical gardens in North America, considered a significant part of the ecological network system and of the green and blue 'infrastructure'. This important system opposes geographical risk, which must be organically dealt with in programmes, plans and strategies that protect the landscape, prevent risks, and strengthen short-, medium- and long-term actions, also involving local Communities, integrating the vision to the different scales of intervention and projects. The Botanical Garden, seen here as an 'Open Work', has an important role not only because it preserves botanical specimens that come from all over the world, but …
Testing different ICA algorithms and connectivity analyses on MS patients.
2015
Multiple sclerosis (MS) is a progressive neurological disorder that affects the central nervous system. Functional magnetic resonance imaging (fMRI) has been employed to track the course and disease progression in patients with MS. The two main aims of this study were to apply in a data-driven approach the independent component analysis (ICA) in the spatial domain to depict the active sources and to look at the effective connectivity between the identified spatial sources. Several ICA algorithms have been proposed for fMRI data analysis. In this study, we aimed to test two well characterized algorithms, namely, the fast ICA and the complex infomax algorithms, followed by two effective conne…
Contributed discussion on article by Pratola [Comment on "M.T. Pratola, Efficient metropolis-hastings proposal mechanisms for Bayesian regression tre…
2016
Contains fulltext : 161650.pdf (Publisher’s version ) (Open Access) The author should be commended for his outstanding contribution to the literature on Bayesian regression tree models. The author introduces three innovative sampling approaches which allow for efficient traversal of the model space. In this response, we add a fourth alternative. 3 p.
Adaptive Function and Brain Evolution
2012
Comparing brains is not a mere intellectual exercise but also helps to understand how the brain enables adaptive behavioral strategies to cope with an ever-changing world and how this complex organ has evolved during the phylogeny. For instance, comparative neurobiology helps understanding the specific features of our species, an issue that attracted scientists since the time of Santiago Ramon y Cajal. Following this tradition, 20 years ago Hans ten Donkelaar and Gerhard Roth started the European Conferences on Comparative Neurobiology (ECCN). This e-book includes some of the contributions to the last meeting, the sixth ECCN (Valencia, Spain; April 22-24 2010), plus selected works by severa…
Assessment of Functional Connectome in End-Stage Organ Disease Patients After Life-Threatening Surgery
2020
Purpose The purpose of this study was to assess the organization of intrinsic functional brain networks (functional connectome) in neurologically asymptomatic patients with end-stage organ disease who had undergone major surgery for life-threating conditions and compare it to a control group. Materials and Methods Resting-state functional magnetic resonance imaging (rest-fMRI) was performed in 10 adult, post-operative patients with end-stage organ disease. The patients (7 men, 3 women, mean age 57.9 ± 7.4 years) had undergone: n=4 coronary artery bypass graft for heart failure, n=2 orthotopic liver transplantation for non-alcoholic cirrhotic liver failure, n=3 mitral valve repair for heart …
A branch-and-price framework for decomposing graphs into relaxed cliques
2021
We study the family of problems of partitioning and covering a graph into/with a minimum number of relaxed cliques. Relaxed cliques are subsets of vertices of a graph for which a clique-defining property—for example, the degree of the vertices, the distance between the vertices, the density of the edges, or the connectivity between the vertices—is relaxed. These graph partitioning and covering problems have important applications in many areas such as social network analysis, biology, and disease-spread prevention. We propose a unified framework based on branch-and-price techniques to compute optimal decompositions. For this purpose, new, effective pricing algorithms are developed, and new…
Dissimilarity Application for Medical Imaging Classification
2005
In the traditional way of learning from examples of objects the classifiers are built in a feature space. However, alternative ways can be found by constructing decision rules on dissimilarity (distance) representations. In such a recognition process a new object is described by its distances to (a subset of) die training samples. The use of the dissimilarities is especially of interest when features are difficult to obtain or when they have a little discriminative power. Purpose of this work is the development of an automatic classification system which could be useful for radiologists in the investigation of breast cancer. The software has been designed in the framework of the MAGIC-5 col…
“The war is over”. Militarizing the language and framing the Nation in post-Brexit discourse
2020
This chapter analyzes the militarization of political language in digital contexts in the post-Brexit discourse, and how such militarization, which is often constitutive of hate speech, contributes to framing an “exclusive” concept of the nation whose meaning is reproduced and circulated (as well as challenged) in society. It will address the role of emotions and hate in language in fueling and aggregating online communities around a key political issue, i.e. the Brexit negotiations, and a core cultural and social concept, i.e. the nation. The militarization of language, which is based on certain discursive structures, e.g. war metaphors (Lakoff and Johnson 1980, Musolff 2020), is one of th…
Investigating Centrality Measures in Social Networks with Community Structure
2021
Centrality measures are crucial in quantifying the influence of the members of a social network. Although there has been a great deal of work dealing with this issue, the vast majority of classical centrality measures are agnostic of the community structure characterizing many social networks. Recent works have developed community-aware centrality measures that exploit features of the community structure information encountered in most real-world complex networks. In this paper, we investigate the interactions between 5 popular classical centrality measures and 5 community-aware centrality measures using 8 real-world online networks. Correlation as well as similarity measures between both t…
Measuring the ‘Bridging’ versus ‘Bonding’ Nature of Social Networks: A Proposal for Integrating Existing Measures
2010
Recent research illustrates that two distinct interpretations and operationalizations of ‘bridging’ and ‘bonding’ social networks co-exist in the literature (based on links between diverse networks or between socio-economic groups within a given network, respectively), and that these do not coincide in empirical applications. The present contribution first confirms this conclusion using data from the United Kingdom. Then, we suggest a simple way to integrate both existing approaches into a more general measure of bridging and bonding. Applying this more general index to UK and Flemish data, a) provides stronger empirical support for the idea that memberships in bridging groups are more str…