Reporting the motion patterns in moving objects data has been the focus of many research projects recently. Group spatiotemporal patterns are the movement patterns, in space and time, formed by groups of moving objects, such as flocks, concurrence, encounter, etc. There exist, in the literature, smart algorithms for matching some of these patterns. These solutions, however, address specific pat...

The lack of predictability of citation-based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: Is there long-term predictability in citation patterns? Here, we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplin...

In this article, we discuss the relationships between thermodynamic quantities and the spatial pattern in a reaction-diffusion model based on the reversible Gray-Scott model. This model is introduced for calculation of the entropy production in a reaction-diffusion system. First, we show the relationship between entropy production and pattern formation, and suggest that the entropy production c...

We examine sequential spatial pattern formation in a tissue interaction model for skin organ morphogenesis. Pattern formation occurs as a front sweeps across the domain leaving in its wake a steady state spatial pattern. Extensive numerical simulations show that these fronts travel with constant wave speed. By considering the envelope of the solution profile we present a novel method of calcula...

The need for the study of dynamic and evolutionary settings made time a major dimension when it comes to data analytics. From business to health applications, being able to understand temporal patterns of customers or patients can determine the ability to adapt to future changes, optimizing processes and support other decisions. In this context, different approaches to Temporal Pattern Mining h...

The emerging interests in spatial pattern mining lead to the demand for a flexible spatial pattern mining language, on which easy to use and understand visual pattern language could be built. This motivates us to define a pattern mining language called CSPML to allow users to specify complex spatial patterns they are interested in mining from spatial datasets. We describe our proposed pattern m...

Watson and Lovelock’s daisyworld model [1] was devised to demonstrate how the biota of a world could stabilise it, driving it to a temperature regime that favoured survival of the biota. The subsequent studies have focused on the behaviour of daisyworld in various fields. This study looks at the emergent patterns that arise in 2D daisyworlds at different parameter settings, demonstrating that a...

Based on a recently proposed non-equilibrium mechanism for spatial pattern formation [13] we study how morphogenesis can be controlled by locally coupled discrete dynamical networks, similar to gene regulation networks of cells in a developing multicellular organism. As an example we study the developmental problem of domain formation and proportion regulation in the presence of noise and cell ...

How to schedule a desired temporal pattern is one of the most elementary issues to consider when implementing a computer music system, and there already exist several major programming patterns for scheduling. However, such computer music-specific programming patterns seem to not be discussed as frequently as general programming patterns, and thus there may still be some necessity for additiona...