Recently, the operation of distribution systems does not depend on the state or utility based on centralized procedures, but rather the decentralization of the decisions of the distribution companies whose objectives are the efficiency of interconnectivity. Therefore, distribution companies are exposed to greater risks, and due to this, the need to make decisions based on increasingly reliable models has grown up considerably. Therefore, we present a survey of key aspects, technologies, protocols, and case studies of the current and future trend of Smart Grids. This work proposes a taxonomy of a large number of technologies in Smart Grids and their applications in scenarios of Smart Networks, Neural Networks, Blockchain, Industrial Internet of Things, or Software-Defined Networks. Therefore, this work summarizes the main features of 94 research articles ranging the last four years. We classify these survey, according Smart Grid Network Topologies, because it can group as the main axis the sensors applied to Smart Grids, as it shows us the interconnection forms generalization of the Smart Networks with respect to the sensors found in a home or industry.

Mexico City generates 12 thousand tons of Municipal Solid Waste (MSW) per day, which places it as one of the cities that produces the most MSW in the world. However, the treatments used in the city are not enough for recycling materials and organics valorization of at least 45% of the MSW, which is the minimum for a medium-high-income city. To put in a global context the deficiency in Municipal Solid Waste Management (MSWM) in Mexico City and evaluate the policies that have been implemented thus far, Wasteaware benchmark Indicators for Integrated Sustainable Waste Management (ISWM) were used to obtain a desired profile for the comprehensive MSWM in Mexico City. The Wasteaware Benchmark Indicators have been tested in more than 50 cities around the world. The results showed that in Mexico City, certain aspects of governance present the most considerable delay and, at the same time, that there are certain areas of opportunity to improve the efficiency of MSWM in its physical aspects, such as collection systems or treatment services.

Deaths due to heart diseases are a leading cause of death in Mexico. Cardiovascular diseases are considered a public health problem because they produce cardiorespiratory arrests. During an arrest, cardiac and/or respiratory activity stops. A cardiorespiratory arrest is rapidly fatal without a quick and efficient intervention. As a response to this problem, the Virtual${}^{CPR}$ system was designed in the present work. Virtual${}^{CPR}$ is a mobile virtual reality application to support learning and practicing of basic techniques of cardiopulmonary resuscitation (CPR) for experts or non-experts in CPR. Virtual${}^{CPR}$ implements an interactive virtual scenario with the user, which is visible by means of employment of virtual reality lenses. User’s interactions, with our proposal, are by a portable force sensor for integration with training mannequins, whose development is based on an application for the Android platform. Furthermore, this proposal integrates medical knowledge in first aid, related to the basic CPR for adults using only the hands, as well as technological knowledge, related to development of simulations on a mobile virtual reality platform by three main processes: (i) force measurement and conversion, (ii) data transmission and (iii) simulation of a virtual scenario. An experiment by means of a multifactorial analysis of variance was designed considering four factors for a CPR session: (i) previous training in CPR, (ii) frequency of compressions, (iii) presence of auditory suggestions and (iv) presence of color indicator. Our findings point out that the more previous training in CPR a user of the Virtual${}^{CPR}$ system has, the greater the percentage of correct compressions obtained from a virtual CPR session. Setting the rate to 100 or 150 compressions per minute, turning on or off the auditory suggestions and turning the color indicator on or off during the session have no significant effect on the results obtained by the user.

There is a great challenge in the business sector to adopt new technologies that boost companies to break into Industry 4.0, especially to obtain the capacity to adopt and develop complex systems based on: artificial intelligence, Big Data, Data Mining, and Cyber Physical Systems. However, efforts tend to be more of an empirical process, rather than a prior analysis, that allows companies to identify the complexity of the situation and trigger a viable implementation. For this reason, this research carried out a systematic review to identify and analyze, from the Systems Science approach, the proposed and most used models to face these organizational problems. In total, 42 of the 3800 documents were filtered for discussion using a systems approach. In addition, one of the models was tested by interviews with Mexican managers to understand how it promotes the abstraction of complexity necessary for a viable system change. The findings at the end of the work were to determine the lack of systemic properties in the current proposals, especially in the efforts to adopt artificial intelligence and the need to have a suitable model for the context of technology.

With 19 million inhabitants, Mexico City is the most populated agglomeration in Latin America, concentrating 30% of the national population. More than 61% of municipal solid waste (MSW) is sent to landfills, and 13% of MSW is recovered by Informal Sector Recyclers (ISRs) for recycling, which is the most crucial treatment option in the city. This article adopts a systemic approach to addressing the problem of the operationalization of relationships between ISRs and public services in Mexico City to design a recursive organizational structure with the identification of the critical roles and functions of management and governance in multi-level and multi-stakeholder relationships to integrate ISRs into MSW management. Using the Viable System Model (VSM) recursive structure to propose functional organizational structures in Mexico City is a new route for the study and application of systemic thinking in ISR integration. The VSM of the recycling system in Mexico City considers the recycling activities and characteristics of the territory at each recursion level. The authorities of the corresponding hierarchical level, who have sufficient knowledge of the physical and socioeconomic characteristics of the territory, are responsible for the design and operations.