This study tests a model of the socio-economic adaptation of Russian-speaking immigrants in Belgium. It examines the roles of language skills and length of stay in Belgium, and of ethnic and religious identification in their acculturation preferences in their adaptation. The study showed that language skills were positively related to preferences for integration and assimilation, while length of stay was negatively related to separation. In turn, integration and assimilation predicted higher socio-economic adaptation, and separation predicted lower adaptation. Ethnic and religious identification also played a role. In sum, more orientation toward the host society (integration and assimilation) promoted better adaptation.
This article problematizes piracy a) as a hegemonic discourse and technology of control, aiming to securitize late capitalist accumulation; b) as a practice developed by the multitudes that is compatible to post – Fordist mode of production and to neoliberal norms; and, c) as resistance to dominant mode of late capitalist production, distribution and consumption of immaterial goods. The article addresses and criticizes capitalism’s ‘organic’ and strategic colonization of fundamental social commons, such as culture, intellectual goods, as well as human creativity and communication, by looking at the ideological, institutional and material processes that reproduce the capitalist ‘machine’. This paper concludes by considering the possibility of overcoming the capitalist approach to commons, through the politicization of IPR as well as through the connection of the problem they pose to broader social perspectives, confronting capitalism — in its post political disguises — politically.
In the paper (Kushnir et al., Int J Geomath 4(2):201–225, 2013) we offered the mathematically rigorous justification of the adaptive algorithm for statistical estimation of parameters of micro-earthquake source based on data recorded by a surface array of seismic receivers. The algorithm exploits the popular statistical Maximum Likelihood approach for determination of unknown parameters of probability distribution of a multichannel data generated by micro-earthquake source and registered by the surface array in the presence of strong noise. In this paper we consider unique properties of the mentioned adaptive maximum-likelihood estimator (AMLE) in conditions when the noise affecting the surface array receivers contains strong time-spatially correlated (coherent) component of man-made origin. These conditions are typical when AMLE algorithm is implemented for location of the micro-earthquakes caused by the medium hydraulic fracturing at hydrocarbon deposit sites. In the mentioned conditions AMLE algorithm demonstrates capability to suppress coherent noise component and hence to significantly improve the accuracy of determination of the coordinates of micro-earthquake sources. In the paper we theoretically investigate the signal-to-noise ratio (SNR) of AMLE statistic and show that this SNR tends to infinity while seismic noise becomes purely coherent. We have undertaken also the computer simulation of the micro-earthquake location with the help of AMLE algorithm using deployment of the 150 seismic receivers which corresponds geometry of a real USA surface seismic array. For this array we computed the model multidimensional realizations of the micro-earthquake signal, the coherent man-made noise component and the natural noise component. The results of this computer simulation have shown that in conditions when the power of the coherent man-made component of the modeled noise significantly exceeds the power of the natural component of this noise the errors of micro-earthquake source position determination become negligible.
The Soviet system of knowledge production based on cooperation, knowledge sharing, but also intense competition was already an inspiration for innovation policymakers in the U.S. and in Europe back in the 1950 and 1960s. Nowadays, as the global economy is moving towards a new mode of production, the Soviet case may still play an important role to help to frame a better institutional approach to innovation. With the dramatic challenges already brought by the fourth industrial revolution and the tectonic economic and social shifts it is expected to cause around the world, the Soviet case with all its pros and cons is becoming more and more relevant for this debate as it provides necessary empirical data to consider other institutional approaches to innovation distinct from the established property-focused model. In this context, intellectual property and competition law scholars hopefully would better understand the Soviet innovation system through further academic studies.
We present a new class of multifractal process on R, constructed using an embedded branching process. The construction makes use of known results on multitype branching random walks, and along the way constructs cascade measures on the boundaries of multitype Galton–Watson trees. Our class of processes includes Brownian motion subjected to a continuous multifractal time-change. In addition, if we observe our process at a fixed spatial resolution, then we can obtain a finite Markov representation of it, which we can use for on-line simulation. That is, given only the Markov representation at step n, we can generate step n+1 in O(log n) operations. Detailed pseudo-code for this algorithm is provided.R
A full closed mathematical model to describe and calculate Kondratiev’s long wave (LW) of economic development is presented for the first time. The innovative process that generates a new long wave in the economy is described as a stochastic Poisson process. The key role in constructing production functions during both the upward and downward trends of the LW is played by the self-similarity property of the innovative process, which is determined by its fractal structure. The role of the switch from an upward wave to a downward one is played by entrepreneurial profit; this article places primary emphasis on calculation of it. The practical effect of the model developed is illustrated through predictive calculations of GDP movement paths and the number of employees in the economy and the dynamics of fixed physical capital formation and growth of labor productivity by the example of the development of the US economy during the coming sixth Kondratiev LW (2018–2050).