Muslim Diaspora in the West and International HRM

Interest in Islam and how Muslims organise themselves within the so-called Western world has largely stemmed from the flow of Muslim immigration since the 1960s and the 1970s (Loobuyck, Debeer, & Meier, 2013). Many of these immigrants have come to these new lands in the hope of making a better life for themselves economically, or to escape the political or religious pressures of their homeland (Lebl, 2014). Initially, deeming the influx of these foreigners to be largely irrelevant, there was little interest in their presence by the different governments across many jurisdictions. Typically, scant interest was shown towards entering into dialogue with the Muslim immigrant community. Indeed, until the 1990s, it was not uncommon for Islam to be perceived as a strange, foreign religion that was best managed through outsourcing to respective consulates (Loobuyck et al., 2013). Yet, migration and work-based mobility has a significant influence on the world of work and societies in which organisations are embedded. Many individuals migrate for better employment perspectives, as well as due to chain migration, betterment in the quality of life and based on fleeing famine, war and terror zones globally (Sharma & Reimer-Kirkham, 2015; Valiūnienė, 2016). Migration could involve upward as well as downward mobility/ wages, depending on the country and organisation. For example, minimum wages differ from € 184 in Bulgaria up to € 1923 in Luxembourg (Valiūnienė, 2016). Migration also contributes to the lived religion of diasporic communities as they navigate their faith at work (Sharma & Reimer-Kirkha

Reduced combustion mechanism for fire with light alcohols

The need for sustainable energy has incentivized the use of alternative fuels such as light alcohols. In this work, reduced chemistry mechanisms for the prediction of fires (pool fire, tank fire, and flash fire) for two primary alcohols—methanol and ethanol—were developed, aiming to integrate the detailed kinetic model into the computational fluid dynamics (CFD) model. The model accommodates either the pure reactants and products or other intermediates, including soot precursors (C2H2, C2H4, and C3H3 ), which were identified via sensitivity and reaction path analyses. The developed reduced mechanism was adopted to predict the burning behavior in a 3D domain and for the estimation of the product distribution. The agreement between the experimental data from the literature and estimations resulting from the analysis performed in this work demonstrates the successful application of this method for the integration of kinetic mechanisms and CFD models, opening to an accurate evaluation of safety scenarios and allowing for the proper design of storage and transportation systems involving light alcohols

On the prediction of the ignition delay time of bio-syngas

The growing energy demand and more stringent environmental regulations have raised concerns about the production and use of alternative fuels. Due to the potential application of the resulting gaseous streams in turbines as an energy source, slow pyrolysis of biomass including municipal waste have been extensively studied under various situations and atmospheric conditions. Nevertheless, the combustion characteristics of these complex mixtures and the chemical interactions between their constituent species are still not fully understood. Hence, the accuracy of commonly used empirical-based mixing rules for the estimation of the overall reactivity, such as laminar burning velocity and ignition delay time is inefficient. This work is addressed to the numerical prediction of the Ignition Delay Time, IDT, of bio-syngas mixtures at different fuel compositions, stoichiometries, temperature, and pressure, by means of a detailed kinetic model. A simplified tool for preliminary evaluation of the overall reactivity with respect to the above-mentioned conditions was proposed for these mixtures, as well, providing an effective feature for safety and management evaluations

The impact of social motivation on cooperative learning and assessment preferences

This study explores the assessment preferences of 453 postgraduate business students in New Zealand, Australia, and Thailand using a survey linking motivational and educational preferences. This study compares the needs of Western students (Australian and New Zealand), Asian (Thai) and international students (predominantly Chinese and Indian students) in Australia and New Zealand (ANZAC). One major finding is that students from these three countries who are socially motivated prefer 'cooperative learning'. Further, the study specifically shows that students from Thailand are more socially motivated than students from Australia and New Zealand (ANZAC) while International ANZAC students have the greatest desire for cooperative learning. It also shows that group assessment poses quite significant challenges for local ANZAC students and therefore, remedial intervention from universities is essential if group assessments are to remain relevant and useful in achieving meaningful teaching and learning outcomes. © 2011 eContent Management

On the Mechanical Energy Involved in the Catastrophic Rupture of Liquid Hydrogen Tanks

Hydrogen can play a central role in the energy transition thanks to its unique properties. However, its low density is one of the main drawbacks. The liquefaction process can drastically increase its density up to virtually 71 kg m-3 at atmospheric pressure and -253°C (NIST, 2019). The safety knowledge gap on physical explosions is still broad in the case of liquid hydrogen (LH2). For instance, it is unclear what are the consequences yields as well as the probabilities of a catastrophic rupture of an LH2 tank. A boiling liquid expanding vapour explosion (BLEVE) might arise after this top event. In this case, the expansion of the compressed gaseous phase is followed by the flashing of a fraction of the liquid. Moreover, combustion may occur for hydrogen since it is highly flammable. This complex phenomenon was not widely explored for LH2 yet. This study focused on the physical explosion by also considering the combustion process. Many integral models were adopted to estimate the mechanical energy developed by the explosion. The tank pressure prior to the rupture was considered below the critical one (1.298 MPa (NIST, 2019)). It was assumed that both liquid and gaseous phases are present inside the tank. The influences of the filling degree of the tank (liquid level) and the temperatures of the liquid and gaseous phases on the explosion energy were analysed. The results were compared with the ones of a previous study where similar models were employed to estimate the mechanical energy of an LH2 tank with different initial conditions (Ustolin et al., 2020a). In particular, the effect of the combustion process on the explosion energy and shock wave overpressure was not accounted for. The aim of this study is to conduct a comparison between different models and assess which are the most and the least conservative. The outcomes of this work provide critical suggestions on the consequence analysis of cryogenic liquefied gas vessels explosions

Active Inference, epistemic value, and vicarious trial and error

Balancing habitual and deliberate forms of choice entails a comparison of their respective merits—the former being faster but inflexible, and the latter slower but more versatile. Here, we show that arbitration between these two forms of control can be derived from first principles within an Active Inference scheme. We illustrate our arguments with simulations that reproduce rodent spatial decisions in T-mazes. In this context, deliberation has been associated with vicarious trial and error (VTE) behavior (i.e., the fact that rodents sometimes stop at decision points as if deliberating between choice alternatives), whose neurophysiological correlates are “forward sweeps” of hippocampal place cells in the arms of the maze under consideration. Crucially, forward sweeps arise early in learning and disappear shortly after, marking a transition from deliberative to habitual choice. Our simulations show that this transition emerges as the optimal solution to the trade-off between policies that maximize reward or extrinsic value (habitual policies) and those that also consider the epistemic value of exploratory behavior (deliberative or epistemic policies)—the latter requiring VTE and the retrieval of episodic information via forward sweeps. We thus offer a novel perspective on the optimality principles that engender forward sweeps and VTE, and on their role on deliberate choice