regards the study of coupled maps in order to generate pseudo-random numbers. The intermittency of the system is analysed. This aspect is new and important since it presents an alternative method to find new classes of pseudo-random number generators inside the same system. The authors also propose an accurate bifurcation analysis. The paper is a receptacle of new ideas. The evaluation of encryption and decryption performance in image processing by using entropy functions has been proposed by [PERSON] and [PERSON] in [14]. The paper reportssome important items such as using thermodynamics principles in evaluating nonlinear signal processing performance. The study also includes numerical examples. A study regarding new items in adaptive control is the core of [15] by [PERSON] et al. A fuzzy adaptive controller in a self-organizing configuration inspired by cerebellar model articulation is widely studied. The global controller has been used to control a chaotic system based on the FHN neuron model in a master-slave configuration. Both theoretical and numerical results are presented. Moreover, the synchronization capabilities of the controller have been emphasized. The paper [16] by [PERSON] et al. uncovers the role of the master-slave scheme in hyperchaotic Henon maps for image encryption. The system is integrated in a classical platform of image encryption/decryption. The reported results are encouraging. The approach can be used in various fields, not restricted to image processing applications. The contribution [17] by [PERSON] et al. is addressed to the identification of fractional-order parameters related to an electrical model. The identification strategy is related to an optimization problem. The authors use the particle swarm optimization algorithm with the randomization process of the swarming procedure implemented by using more chaotic maps. The paper shows the coupling of chaotic systems with artificial intelligence procedures for solving electrical engineering modeling problems. In [18], [PERSON] et al. show significant details related to butterfly chaotic systems and their FPGA implementations. The paper covers the main aspects of chaotic circuits. It represents an innovative proposal of new dynamics and their electrical implementation. The FPGA capability to realize dynamical systems has been focused in [19] by [PERSON] et al. for designing stream-based secure chaotic generators. The chaos generator is a 3D Chebishev map. The encryption/decryption problem is applied to secure images. A third-order jerk chaotic system with cubic nonlinearity is studied in [20] by [PERSON] et al. The system is implemented by using analog electronics, and experimental results are widely discussed. The results presented in [21] by [PERSON] and [PERSON] report an accurate classification of chaotic signals. Their approach uses convolutional neural networks and shows an interesting link between chaotic signals and distributed neural networks. More examples have been proposed for the validation of the study. In Table 1, the relationships among the main topics individuated in the pie chart of Figure 2 and the selected papers are emphasized. Moreover, it has been detailed for each contribution not only the main topic, but also the other connections each paper has with the others, thus highlighting the strong interdisciplinarity of the selected studies. The extraordinary interest in chaos is illustrated in this contribution. Chaos is connected to many disciplines involving applied sciences and technology but also other sciences, such as biology. In all these fields, the interest is not only in the analysis of the onset of chaos, but rather its active use, leading chaos theory to be itself an applied science.