There are two dominant approaches to describe and understand the anatomy of complete health and well-being systems internationally. Yet, neither approach has been able to either predict or explain occasional but dramatic crises in health and well-being systems around the world and in developed emerging market or developing country contexts. As the impacts of such events can be measured not simp...

This study applies a systematic strategy for stochastic modeling of atmospheric lowfrequency variability to a realistic barotropic model climate. This barotropic model climate has reasonable approximations of the Arctic Oscillation (AO) and Pacific/North America (PNA) teleconnections as its two leading principal patterns of low-frequency variability. The systematic strategy consists first of th...

The gravitational-radiation-induced inspiral of a binary system of compact objects is considered. A scheme is described to model the regime in which the gravitational interaction is too strong to use weak-field approximation methods, but the time scale for decay of the orbits is still long compared to the orbital period, by numerically solving for a stationary spacetime which approximates the s...

Topological features of gene regulatory networks can be successfully reproduced by a model population evolving under selection for short dynamical attractors. The evolved population of networks exhibit motif statistics, summarized by significance profiles, which closely match those of E. coli, S. cerevsiae, and B. subtilis, in such features as the excess of linear motifs and feedforward loops, ...

Curriculum in the information systems discipline has been rapidly evolving. This is not only challenging for the instructors to cope with the velocity of change in the curriculum, but also for the students. This paper illustrates a model that leverages the integrated use of social media technologies to facilitate collective learning in a university teaching/learning environment. However, the mo...

A stochastic approach to modelling speech production and perception is discussed, based on Itô calculus. Speech is modelled by a system of non-linear stochastic differential equations evolving on a finite-dimensional state space, representing a partiallyobserved Markov process. The optimal non-linear filtering equations for the model are stated, and shown to exhibit a predictorcorrector structu...

Finding communities in evolving networks is a difficult task and raises issues different from the classic static detection case. We introduce an approach based on the recent vertex-centred paradigm. The proposed algorithm, named DynLOCNeSs, detects communities by scanning and evaluating each vertex neighbourhood by means of a preference measure, using these preferences to handle community chang...

One potential reason for bubbles evolving prior to the financial crisis was excessive risk taking stemming from option-like incentive schemes in financial institutions. By running laboratory asset markets, we investigate the impact of option-like incentives on price formation and trading behavior. The main results are that (i) we observe significantly higher market prices with option-like incen...

We study the problem of determining the proper aggregation granularity for a stream of time-stamped edges. Such streams are used to build time-evolving networks, which are subsequently used to study topics such as network growth. Currently, aggregation lengths are chosen arbitrarily, based on intuition or convenience. We describe ADAGE, which detects the appropriate aggregation intervals from s...

A type of flexible models in the form of a neural network (NN) with evolving structure is treated in the paper. We refer to models with amorphous structure as flexible models. There is a close link between different types of flexible models: fuzzy models, fuzzy NN, and general regression model. All of them are proven universal approximators and some of them (Takagi-Sugeno fuzzy model with singl...