An evergreen scientific feature is the ability for scientific works to be reproduced. Since chaotic systems are so hard to understand analytically, numerical simulations assume a key role in their investigation. Such simulations have been considered as reproducible in many works. However, few studies have focused on the effects of the finite precision of computers on the simulation reproducibility of chaotic systems; moreover, code sharing and details on how to reproduce simulation results are not present in many investigations. In this work, a case study of reproducibility is presented in the simulation of a chaotic jerk circuit, using the software LTspice. We also employ the OSF platform to share the project associated with this paper. Tests performed with LTspice XVII on four different computers show the difficulties of simulation reproducibility by this software. We compare these results with experimental data using a normalised root mean square error in order to identify the computer with the highest prediction horizon. We also calculate the entropy of the signals to check differences among computer simulations and the practical experiment. The methodology developed is efficient in identifying the computer with better performance, which allows applying it to other cases in the literature. This investigation is fully described and available on the OSF platform.

The global information technology (IT) industry accounts for approximately 2% of the world's greenhouse gas emissions, equivalent to the aviation industry's emissions. Moreover, IT energy consumption is projected to increase by 5% annually, and the industry is expected to consume 21% of the world's electricity by 2030. Therefore, there is a growing urgency to develop and implement sustainable computing practices that reduce energy consumption and mitigate the environmental impact of the computing industry. Green computing has emerged as a vital area of research due to the increasing demand for environmentally sustainable practices in the computing industry. To contribute to this dialogue, this paper presents a comprehensive survey of 74 articles related to green computing and its various subtopics, including sustainable practices, energy-efficient hardware design, software optimization, and the use of renewable energy sources. Additionally, the survey analyses the role of green algorithms in reducing energy consumption and carbon footprint in computing systems. The findings highlight the significance of adopting green computing practices to mitigate the adverse impact of computing on the environment, including greenhouse gas emissions, energy consumption, and waste generation. Our survey underscores the growing interest in green computing, as evidenced by the increasing number of articles and research studies dedicated to this topic. Furthermore, our analysis of the existing literature highlights the need for further research in this area to develop more effective and sustainable solutions. In conclusion, the survey serves as a valuable resource for researchers, practitioners, and policymakers to understand the current state of research in green computing and to identify areas for future research. By promoting sustainable practices in the computing industry, we can contribute to a more environmentally sustainable future for our planet.

Control-inspired design, as the name suggests, involves drawing inspiration from control theory to design other engineering systems. Engineers may use the principles of feedback control to design systems that can adapt and self-correct in response to changing conditions. This technique is known as Control Co-design (CCD), and it focuses on the redesign of dynamics and subsystem interactions. CCD offers several benefits, such as improved performance, reduced design time and cost, and increased reliability, and has been applied to a variety of areas. In this paper, we present a review of 197 articles related to CCD and highlight the main topics of its applications, such as renewable energy, vehicular and aircraft control systems and communication systems in control. We delimit the applications of CCD in the field of engineering, providing an introductory understanding of this topic and presenting the main works developed in this field in recent years, as well as discussing the tendencies and benefits of CCD. The paper offers an in-depth conceptualisation of CCD. A theoretical example is provided to illustrate CCD’s application in a Hybrid Wind-Wave Platform (HWWP), detailing the interaction between aerodynamic and hydrodynamic design domains and their control challenges, along with discussions on simultaneous and nested CCD formulations.

The number of researches aimed at understanding the chaotic behavior of nonlinear dynamical systems has grown considerably in recent years. The development of electronic circuits that exhibit this type of behavior has been the interest of numerous works in the literature. Among the possible sets of nonlinear systems, the simplest in which one can observe bifurcation phenomena and chaotic behavior, followed by well– controlled experiments, are nonlinear electronic circuits. One of the most widely used tools for analysis and evaluation of chaotic behavior is known as the bifurcation diagram. Generally, in the analysis of these circuits, parameters such as voltage, current and frequency are used to verify their respective behaviors. Variable values of passive components such as resistors and capacitors are also widely used. The temperature has also been used as a bifurcation parameter in resistor, diode and inductor (RLD) circuits. However, there is little attention from the scientific community on temperature as a bifurcation parameter for electronic circuits using operational amplifiers such as the chaotic Jerk circuit. In this sense, this project aims to implement a chaotic Jerk circuit, composed of operational amplifiers, resistors and capacitors, and subject it to different temperature levels, using this variable as an analysis parameter. Thus, at the end of this work it was possible to verify that the temperature variation directly influences the behavior of the investigated system, thus reaching the final objective of the project, presenting that the temperature can be a bifurcation parameter for a chaotic Jerk circuit.

This paper addresses the effect of isolation on the spread of Covid-19 in the State of Minas Gerais, Brazil. The compartmental model SEIR (Susceptible, Exposed, Infectious, Recovered) has been employed. The parameters of the model have been estimated with the help of optimization techniques based on evolutionary strategies. From the model obtained, this work evaluates the impacts of reducing the isolation in the peak of infected people. Results show that the isolation has reduced the peak in 94%, which has played a crucial role in avoiding the health system collapse up to now. Moreover, around 70% of isolation guarantees a good quality of health system service to deal with the pandemic of Covid-19 according to the number of intensive care units and considering a reproductive number equals to 3.60. This is an important result to be considered during easing physical distancing measures.

Code efficiency has gained significant attention as an important mechanism to address the increasing energy consumption within the Information and Communication Technology sector. Despite advances in algorithm optimisation, there has been limited research on reducing the environmental impact of recursive functions, particularly in the context of nonlinear dynamical systems. To address this gap, this paper investigates the energy efficiency of NARMAX (Nonlinear Autoregressive Moving Average with Exogenous inputs) models, focusing on reducing energy consumption and CO2 emissions while maintaining computational accuracy. Using Horner's method on NARMAX models, the research optimises the performance of recursive algorithms and examines their energy consumption in nonlinear dynamical systems. The method is applied in four case studies, which demonstrate reductions of up to 27.9% in CO2 emissions and 28.85% in energy consumption.