Digital Transformation and Local Government Response to the COVID-19 Pandemic: An Assessment of Its Impact on the Sustainable Development Goals.

This paper analyzes how Digital Transformation (DT) processes have influenced the Attitude of local governments (LGs) toward the COVID-19 pandemic and their effect on achieving the United Nations' Sustainable Development Goals (SDGs). The data were collected from LGs in Spain (n = 124) through a questionnaire in which the IT skills of their workers, the DT processes, budgets, degree of regulatory compliance, and implementation of trust seals were measured, together with the IT security measures adopted. The contrast between the proposed model and the results showed that the direct influence of IT security influences the government's attitude toward COVID-19 and DT implementing actions to achieve SDGs. The findings of this work are of great value both for the actors involved in the design and implementation of public policies and for those responsible for local governance in their objective to improve citizens' experience of the services provided and in exceptional situations such as the one experienced as a result, of-COVID-19.

A family of driving forces to suppress chaos in jerk equations: Laplace domain design.

A family of driving forces is discussed in the context of chaos suppression in the Laplace domain. This idea can be attained by increasing the order of the polynomial in the expressions of the driving force to account for the robustness and/or the performance of the closed loop. The motivation arises from the fact that chaotic systems can be controlled by increasing the order of the Laplace controllers even to track arbitrary orbits. However, a larger order in the driving forces can induce an undesirable frequency response, and the control efforts can result in either peaking or large energy accumulation. We overcame these problems by showing that considering the frequency response (interpreted by norms), the closed-loop execution can be improved by designing the feedback suppressor in the Laplace domain. In this manner, the stabilization of the chaotic behavior in jerk-like systems is achieved experimentally. Jerk systems are particularly sensitive to control performance (and robustness issues) because the acceleration time-derivative is involved in their models. Thus, jerky systems are especially helped by a robust control design.