Technological Innovation, Financial Fragility and Complex Dynamics In this paper we suggest a scaling approach to business cycles. We develop a heterogeneous interacting agents (HIAs) model that replicates well known industrial dynamics stylized facts, as the power law distribution of firms’ size and the Laplace distribution of firms’ growth rates. In particular, the power law is a persistent b...

A new, systematic and integrated way of building a national information and communication technology (ICT) frontier is proposed for countries specialized in ICT for export. Using patent citation as a proxy of interaction between technologies, a national ICT network is developed. Local core ICTs are identified by using two centrality measures and five brokerage measures. The importance in terms ...

This paper considers three firms that engage in an R&D contest to develop a new profitable technology. For a broad range of parameters, the firm that leads the contest (i.e., has the highest probability of success) is better-off licensing or selling its superior interim knowledge to one of the two lagging firms or to both rather than holding on to its lead. Although transferring interim R&D kno...

two simple, accurate and precise methods for simultaneous estimation of esomeprazole and itopride in bulk drug and tablet dosage form have been described. method-a employs formation and solving of simultaneous equation using 231 and 370 nm as two analytical wavelengths. method -b is absorption ratio method, which uses 308 and 331 nm as two analytical wavelengths.beer’s law was obeyed in the con...

SDS2 is a system to discover and identify the quantitative model consisting of simultaneous equations re ecting the rst principles underlying the objective process through experiments. It consists of SSF and SDS, where the former is to discover the structure of the simultaneous equations and the latter to discover a quantitative formula of each complete equation. The power of SDS2 comes from th...

A general inductive Bayesian classification framework is introduced for data from multiple finite alphabets using predictive representations based on random urn models and generalized exchangeability. We develop a novel principle of generative supervised and semi-supervised probabilistic classification based on marginalizing simultaneous predictive classification probabilities for all test item...

In this paper, we consider singular and degenerate parabolic equations$$u_t =(x^alpha u_x)_x +u^m (x_0,t)v^{n} (x_0,t),quadv_t =(x^beta v_x)_x +u^q (x_0,t)v^{p} (x_0,t),$$ in $(0,a)times (0,T)$, subject to nullDirichlet boundary conditions, where $m,n, p,qge 0$, $alpha, betain [0,2)$ and $x_0in (0,a)$. The optimal classification of non-simultaneous and simultaneous blow-up solutions is determin...