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The ultimate goal of this research undertaking was to identify the best fit model involving the following exogenous variables: transformational leadership, motivation, and human resource management practices to endogenous variable – work engagement. A survey questionnaire was issued to the various large retail employees in Region XII, Philippines with 425 respondents for the purpose of data collection. The research method used in the analysis was descriptive — correlation design was used to find the best fit model through structural equation modeling. The results revealed that the model presented positive relationship between transformational leadership, motivation and human resource management practices and work engagement. Nevertheless, the three established exogenous variables of transformational leadership, motivation, and human resource management practices emerged as the primary predictors of work engagement, taking into account their observed variables as depicted in the study's final and best fit model.

Recent findings have revealed that not only neurons but also astrocytes, a special type of glial cells, are major players of neuronal information processing. It is now widely accepted that they contribute to the regulation of their microenvironment by cross-talking with neurons via gliotransmitters. In this context, we here study the phenomenon of vibrational resonance in neurons by considering their interaction with astrocytes. Our analysis of a neuron-astrocyte pair reveals that intracellular dynamics of astrocytes can induce a double vibrational resonance effect in the weak signal detection performance of a neuron, exhibiting two distinct wells centred at different high-frequency driving amplitudes. We also identify the underlying mechanism of this behaviour, showing that the interaction of widely separated time scales of neurons, astrocytes and driving signals is the key factor for the emergence and control of double vibrational resonance.