Results 41 to 50 of about 1,008,804 (161)

Enterprise Digital Transformation Strategy: The Impact of Digital Platforms

Entropy
The development of the digital economy is a strategic choice for seizing new opportunities in the latest wave of technological revolution and industrial transformation.
Qiong Huang, Yifan Tang
doaj   +1 more source

Electricity consumption patterns within cities: application of a data-driven settlement characterization method

International Journal of Digital Earth, 2020
Urban areas presently consume around 75% of global primary energy supply, which is expected to significantly increase in the future due to urban growth.
Pranab K. Roy Chowdhury, Jeanette E. Weaver, Eric M. Weber, Dalton Lunga, St. Thomas M. LeDoux, Amy N. Rose, Budhendra L. Bhaduri   +6 more
doaj   +1 more source

Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

Entropy, 2016
The continuously growing framework of information dynamics encompasses a set of tools, rooted in information theory and statistical physics, which allow to quantify different aspects of the statistical structure of multivariate processes reflecting the ...
Luca Faes, Alberto Porta, Giandomenico Nollo, Michal Javorka   +3 more
doaj   +1 more source

Multifaceted polarization and information reliability in climate change discussions on social media platforms

Royal Society Open Science
Social media platforms like YouTube and Twitter play a key role in disseminating both reliable and unreliable information about climate change. This study analyses the topology of interactions in Twitter and their relation to cross-platform sharing ...
Aleix Bassolas, Joan Massachs, Emanuele Cozzo, Julian Vicens   +3 more
doaj   +1 more source

Statistical Evidence Measured on a Properly Calibrated Scale across Nested and Non-nested Hypothesis Comparisons

Entropy, 2015
Statistical modeling is often used to measure the strength of evidence for or against hypotheses about given data. We have previously proposed an information-dynamic framework in support of a properly calibrated measurement scale for statistical evidence,
Veronica J. Vieland, Sang-Cheol Seok
doaj   +1 more source

Algorithmic Information Dynamics

Scholarpedia, 2020
Algorithmic Information Dynamics (AID) is an algorithmic probabilistic framework for causal discovery and causal analysis. It enables a numerical solution to inverse problems based or motivated on principles of algorithmic probability. AID studies dynamical systems in software space where all possible computable models can be found or approximated ...
Zenil, Hector, Kiani, Narsis, Abrahão, Felipe, Tegner, Jesper   +3 more
openaire   +2 more sources

Kinetic theory of information -- the dynamics of information

Frontiers in Physics, 2015
A kinetic approach to the notion of information is proposed, based on Liouville kinetic theory. The general kinetic equation for the evolution of the N-particle information $mathcal{I}_N$ in a Hamiltonian system of large particle number $Ngg 1$ is ...
Rudolf A. Treumann, Wolfgang eBaumjohann
doaj   +1 more source

Will the Semantic Web Change Education?

Journal of Interactive Media in Education, 2004
: To say that the Web has affected many societies and cultures is to understate its impact along several dimensions. The Web is a technology which not only affects, but in some sense encompasses societies, cultures, and certainly institutions.
Kendall Clark, Bijan Parsia, Jim Hendler   +2 more
doaj   +1 more source

pSpatiocyte: a high-performance simulator for intracellular reaction-diffusion systems

BMC Bioinformatics, 2020
Background Studies using quantitative experimental methods have shown that intracellular spatial distribution of molecules plays a central role in many cellular systems.
Satya N.V. Arjunan, Atsushi Miyauchi, Kazunari Iwamoto, Koichi Takahashi   +3 more
doaj   +1 more source

Time-Resolved Information-Theoretic and Spectral Analysis of fNIRS Signals from Multi-Channel Prototypal Device

Entropy
Functional near-infrared spectroscopy (fNIRS) is a non-invasive imaging technique that measures brain hemodynamic activity by detecting changes in oxyhemoglobin and deoxyhemoglobin concentrations using light in the near-infrared spectrum. This study aims
Irene Franzone, Yuri Antonacci, Fabrizio Giuliano, Riccardo Pernice, Alessandro Busacca, Luca Faes, Giuseppe Costantino Giaconia   +6 more
doaj   +1 more source