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The aim of the present investigation was to study numerically the transient of thermal convection in a square cavity filled with low‐Prandtl‐number fluids. The flow is driven by the horizontal temperature gradient between the vertical walls maintained at different temperatures. Two‐dimensional equations of conservation and energy are solved using a finite element method and a fractional step time. The discrete equations systems are solved in the lap of each element‐mesh with the aim of verifying the Boussinesq hypothesis locally. To compare our results with the earlier predictions, we have chosen the fluids for Prandtl‐numbers 0.001, 0.005 and 0.01 and with Grashof numbers up to 1 × 10⁷. To predict the steady state solutions with an oscillary transient period, the results are reduced in terms of the time series average Nusselt‐number at the vertical walls, the velocity at the center of the cavity and near right boundary. In addition, the isotherms and the velocity field are produced with the aim of showing the main circulation and particularly the weak circulations at the corners of the cavity.

AS J. L. Hobbs shows so clearly in his recent book, the interest in local history is growing enormously at present. The universities, training colleges and schools, as well as the institutions of further education, are all making more use of local studies—geographical, economic, social and historical—in their regular courses, in their advanced work, and in their publications.

The purpose of this paper is to study the implementation of machine learning (ML) techniques in order to automatically measure the feasibility of performing ready mixed concrete (RMC) dispatching jobs.

Six ML techniques were selected and tested on data that was extracted from a developed simulation model and answered by a human expert.

The results show that the performance of most of selected algorithms were the same and achieved an accuracy of around 80 per cent in terms of accuracy for the examined cases.

This approach can be applied in practice to match experts’ decisions.

In this paper the feasibility of handling complex concrete delivery problems by ML techniques is studied. Currently, most of the concrete mixing process is done by machines. However, RMC dispatching still relies on human resources to complete many tasks. In this paper the authors are addressing to reconstruct experts’ decisions as only practical solution.

To analyze the market reception of multi-authored works of art through the lens of collaborative old master paintings (“formal/prestige collaboration”). This paper tests whether multi-authored attribution strategies (i.e. naming two artists as brand names) affect buyers' willingness to pay differently from single-authored works in the auction market.

This case study focuses on collaborative paintings by Flemish masters, based on a data set comprising 11,630 single-authored and collaborative paintings auctioned between 1946 and 2015. Hedonic regressions have been employed to test whether or not co-branded artworks are differently valued by buyers and how the reputation of each artist might influence valuation.

Despite the opportunity for buyers to purchase one artwork with two brand names, this study reveals that the average value of collaborative paintings is statistically lower than that of single-authored paintings. This is especially true when a reputed master was involved in the collaboration. The present findings suggest that the valuable characteristics of formal collaborations (i.e. double brand name, dual authorship and reputation, high-quality standards) are no longer perceived and valued as such by buyers, and that co-branding can affect the artist brand equity because of a contagion effect. We argue that integral authorship is more valued than partial authorship, suggesting that the myth of the artist as a lone genius is still well-anchored in purchasing habits.

Prestige collaborations are a very particular form of early co-branding in the art world, with limited data available. Further research should consider larger samples to reiterate the analysis on other collaboration forms in order to challenge the current findings.

Researchers and living artists should be aware that brand building and co-branding are marketing strategies that may generate negative effects on prices in the art market. The perceived and market value of co-branded works are time-varying, and depends on both the context of reception of these works and the reputation of the artists at time t.

This market segment has never been considered in art market studies, although formal collaboration is one of the earliest documented forms of co-branding in the art world. This paper provides new empirical evidence from the auction market, based on buyers' willingness to pay, and it further highlights the reception of multi-authored art objects in Western art markets that particularly value individual creators.