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For the purpose of controlling industrial robots attached to various types of technological equipment the configuration structures and unification principles were investigated and the unified controlling systems of positional and cyclic type developed.

Describes a tracer model, DREAM (the Danish Rimpuff and Eulerian Accidental release Model), developed for studying transport, dispersion, and deposition of air pollution caused by a single but strong source. The model is based on a combination of a Lagrangian short‐range puff model and a Eulerian long‐range transport model. It has been run and validated against measurements from the two European Tracer Experiment (ETEX) releases and from the Chernobyl accident. An air pollution forecast system, THOR, is under development, to make forecasts of various air pollutants on a European scale. Some preliminary results are shown. DREAM will be implemented in THOR for calculations of real time predictions of transport, dispersion and deposition of radioactive material from accidental releases (e.g. Chernobyl). Some applications of the DREAM model and examples of model results are described.

A finite element method for the analysis of combined radiative and conductive heat transport in a finite axisymmetric configuration is presented. The appropriate integro‐differential governing equations for a grey and non‐scattering medium with grey and diffuse walls are developed and solved for several model problems. We consider axisymmetric, cylindrical geometries with top and bottom boundaries of arbitrary convex shape. The method is accurate for media of any optical thickness and is capable of handling a wide array of axisymmetric geometries and boundary conditions. Several techniques are presented to reduce computational overhead, such as employing a Swartz‐Wendroff approximation and cut‐off criteria for evaluating radiation integrals. The method is successfully tested against several cases from the literature and is applied to some additional example problems to demonstrate its versatility. Solution of a free‐boundary, combined‐mode heat transfer problem representing the solidification of a semitransparent material, the Bridgman growth of an yttrium aluminium garnet (YAG) crystal, demonstrates the utility of this method for analysis of a complex materials processing system. The method is suitable for application to other research areas, such as the study of glass processing and the design of combustion furnace systems.

The purpose of this paper is to discuss some fundamental aspects regarding the anomalies in the passive scalar field advected by forced homogenous and isotropic turbulence, by inspection of the analytical properties of the governing equations and with the aid of direct numerical simulation (DNS) data.

Results from a pseudo‐spectral DNS of a unitary‐Schmidt‐ number passive scalar advected by a low Reynolds number flow field, Re_λ=50 and 70 (based on the Taylor microscale λ) allow for a preliminary assessment of the developed numerical model.

Manipulation of the governing equations for the scalar field (which are monotonic) reveals that the unboundedness of the scalar gradient magnitude is not ruled out by the mathematical properties of the correspondent conservation equation. Classic intermittency effects in the passive scalar field have been reproduced, such as non‐Gaussian behavior of the passive scalar statistics, loss of local isotropy, and multi‐fractal scaling of scalar structure functions. Moreover, Taylor and Richardson theories are, surprisingly, not confirmed only in the dissipation range (small‐scales anomalies).

The authors suggest that the origin of intermittency (qualitatively pictured here as violent burst in spatial gradient quantities) should be sought in the loss of monotonicity of the evolution equation of the scalar gradient.

While working on the final draft of Das Kapital Volume I, Marx discovered that the assumption that he had previously held: as it circulated capital extended its sphere of operation and at the same time absorbed earlier forms of economic organization was not supported by empirical evidence. From 1869 he began to study how in fact capital began to circulate in Russia, a country which had begun to create a capitalist economy after the liberation of the peasantry in 1861. Marx was aided in this project by Nikolai Danielson, who sent him materials on the Russian economy and who himself made a study of contemporary trends in Russian economic development. Marx contributed to the article Danielson published in 1880 on this subject. One of the works Marx acquired was the book by Vorontsov, who concurred with Danielson that only some features of capitalism were present in the Russian economy and that peasants were dispossessed without being re-deployed in capitalist enterprises. Marx died without incorporating his Russian material into the second volume of Das Kapital. Engels failed to see any problem with the circulation of capital and published the manuscripts as he found them, dispersing Marx’s Russian materials. Unlike Danielson, Engels was convinced that Russia’s economic development did not differ in any way from that of Western Europe, a conviction shared by Plekhanov and Lenin, who classed Danielson and Vorontsov as “narodniki.” Lenin’s book The Development of Capitalism in Russia is a polemic against Danielson and Vorontsov, but does not directly address the points they made.

This article aims to explore informal entrepreneurial activities in ethno-cultural clusters in the Russian South. It evaluates the agglomeration economy efforts of ethno-cultural communities and the formation of a new operations of the informal sector. The transition of the ethnic project “Obukhovsky Choir” from an informal to a formal enterprise is considered as unfinished. The emphasis is pointed at the barriers affecting the process and extra-economic factors influencing entrepreneurship activities in ethno-cultural clusters in Russia.

For investigation of the informal entrepreneurship in the Southern Russian agglomeration, in-depth interviews method has been used. The paper researched concept of entrepreneurship and cultural entrepreneurship through the interviews, trying to distinguish the core factors influencing activities of Obukhovsky Choir. These questions concern motivation to enter entrepreneurship activity, regional and local policies affecting the overall situation, core values (ideology) of these types of activity, the role of institutional and other contexts, spatial distribution and social capital influence.

The case of the Rostov agglomeration demonstrates the delayed development of ethno-cultural clusters and attempts to closure activities of communities into local political space. Rostov agglomeration has not stepped through the threshold and involved ethno-cultural communities in the formation of the “common good” conception. While Rostov agglomeration is still attractive for labour migration and migrants' entrepreneurial initiatives, local government does not support such intervention into the stable regional market. These steps delay the development of ethno-cultural clusters and contradict communication between ethnic communities, autochthonic population and local administration.

The case chosen for analysis is Cossack music entrepreneurial space as a salient sample of ethno-cultural cluster with powerful economic potential. It could be used for further consideration of ethno-cultural cluster as a source for socio-economic modernization of Russian multicultural agglomeration where established ethnic communities' communicative style strategically provides support or opposition to the local administration initiatives.

Hybrid Reynolds-averaged Navier–Stokes large eddy simulation (RANS-LES) methods have become popular for simulation of massively separated flows at high Reynolds numbers due to their reduced computational cost and good accuracy. The current study aims to examine the performance of LES and hybrid RANS-LES model for a given grid resolution.

For better assessment and contrast of model performance, both mean and instantaneous flow fields have been investigated. For studying instantaneous flow, proper orthogonal decomposition has been used.

Current analysis shows that hybrid RANS-LES is capable of achieving similar accuracy in prediction of both mean and instantaneous flow fields at a very coarse grid as compared to LES.

Focusing mostly on the practical applications of computation, most of the attention has been given to the prediction of one-point flow statistics and little consideration has been put to two-point statistics. Here, two-point statistics has been considered using POD to investigate unsteady turbulent flow.

Partial shading causes significant power decreases in the PV systems. The purpose of this paper is to address this problem, connectivity regulation is designed to reduce partial shading problems.

In this approach, the partial shading was estimated and dispersed evenly on the whole array by global shade dispersion technique (GSD). The grey wolf algorithm was implemented for the interconnection of arrays by an efficient switching matrix.

After the implementation of the GSD technique using a grey wolf algorithm, the performance under different shading conditions was analyzed using the MatLab simulation tool. The results were compared with total cross-tied (TCT), Su Do Ku and the proposed method of reconfiguration, where the proposed method improves the maximum power of the PV system appropriately.

This methodology uses any size of PV systems.

Replacement of conventional energy systems with renewable energy systems such as solar helps the environment clean and green.

The GSD interconnection scheme using the grey wolf optimization algorithm has proved an improved output performance compared with the existing TCT and Sudoku based reconfiguration techniques. By comparing with existing techniques in literature, the proposed method is more advantageous for reducing mismatch losses between the modules of any size of the PV array with less operating time.

The objective of the study is to identify and analyse drivers of smart manufacturing using integrated grey-based approaches. The analysis facilitates industry practitioners in the identification of preference of drivers through which smart manufacturing can be implemented. These drivers are explored based on existing literature and expert opinion.

Modern manufacturing firms have been adopting smart manufacturing concepts to sustain in the global competitive landscape. Smart manufacturing incorporates integrated technologies with a flexible workforce to interlink the cyber and physical world. In order to facilitate the effective deployment of smart manufacturing, key drivers need to be analysed. This article presents a study in which 25 drivers of smart manufacturing and 8 criteria are analysed. Integrated grey Technique for Order Preference by Similarity to Ideal Solution (grey TOPSIS) is applied to rank the drivers. The derived ranking is validated using “Complex Proportional Assessment – Grey” (COPRAS-G) approach.

In total, 25 drivers with 8 criteria are being considered and an integrated grey TOPSIS approach is applied. The ranking order of drivers is obtained and further sensitivity analysis is also done.

In the present study, 25 drivers of smart manufacturing are analysed. In the future, additional drivers could be considered.

The study presented has been done with inputs from industry experts, and hence the inferences have practical relevance. Industry practitioners need to focus on these drivers in order to implement smart manufacturing in industry.

The analysis of drivers of smart manufacturing is the original contribution of the authors.