Multi-level analysis strategy to make sense of concept maps

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Molecular quantitative trait locus (QTL) analyses are increasingly popular to explore the genetic architecture of complex traits, but existing studies do not leverage shared regulatory patterns and suffer from a large multiplicity burden, which hampers the ...

A graph is a versatile data structure facilitating representation of interactions among objects in various complex systems. Very often these objects have attributes whose measurements change over time, reflecting the dynamics of the system. This general da ...

In Switzerland, Germany and Austria, as in many European countries, the transition of the energy sector towards more sustainability is a long-term transition process, unfolding since decades. It however only reached the regime level in recent years and the ...

Information about world events is disseminated through a wide variety of news channels, each with specific considerations in the choice of their reporting. Although the multiplicity of these outlets should ensure a variety of viewpoints, recent reports sug ...

Environmental transport processes are highly coupled with the shape of landscapes. Modern catchment analysis with high-resolution data and huge computational powers demand more detailed within-cell metrics for surface evolution modeling. This dissertation ...

We consider a distributed social learning problem where a network of agents is interested in selecting one among a finite number of hypotheses. The data collected by the agents might be heterogeneous, meaning that different sub-networks might observe data ...

The legacy of Joseph Fourier in science is vast, especially thanks to the essential tool that the Fourier transform is. The flexibility of this analysis, its computational efficiency and the physical interpretation it offers makes it a cornerstone in many ...

We present a multi-laboratory effort to describe the structural and dynamical properties of duplex B-DNA under physiological conditions. By processing a large amount of atomistic molecular dynamics simulations, we determine the sequence-dependent structura ...

This thesis is devoted to information-theoretic aspects of community detection. The importance of community detection is due to the massive amount of scientific data today that describes relationships between items from a network, e.g., a social network. I ...

The increasing amount of data collected in online learning environments provides unique opportunities to better understand the learning processes in different educational settings. Learning analytics research aims at understanding and optimizing learning a ...

OBJECTIVE Essential tremor (ET) is the most common movement disorder. Drug-resistant ET can benefit from standard stereotactic deep brain stimulation or radiofrequency thalamotomy or, alternatively, minimally invasive techniques, including stereotactic rad ...

Purpose: To offer a -necessarily non-exhaustive- analysis of the meaning and significance of the notion of a complex system for research on the Business Model (BM). Design/Methodology/Approach: Conceptual paper Findings: Drawing from early research in comp ...

Multi-level analysis strategy to make sense of concept maps

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A fully joint Bayesian quantitative trait locus mapping of human protein abundance in plasma

Dynamic pattern recognition in large-scale graphs with applications to social networks

Resilience and agency in mature sustainability transitions. Theoretical conceptualisation and empirical analysis of actor- & system-level dynamics in sociotechnical energy systems

A Dynamic Embedding Model of the Media Landscape

Statistical and physical characterization of rainfall-driven overland flow morphologies

Exponential Collapse Of Social Beliefs Over Weakly-Connected Heterogeneous Networks

Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs

The static and dynamic structural heterogeneities of B-DNA: extending Calladine-Dickerson rules

Statistical Physics Methods for Community Detection

Discovering Interaction Patterns in Online Learning Environments : A Learning Analytics Research

Pretherapeutic resting-state fMRI profiles are associated with MR signature volumes after stereotactic radiosurgical thalamotomy for essential tremor

Business Models and Complexity