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Eliciting requirements of products or solutions in informally structured domains is a highly creative and complex activity due to the inherent characteristics of these domains, such as the great quantities of tacit knowledge used by domain specialists, the dynamic interaction between domain specialists and their environment in order to solve problems, the necessity of these solutions of products to be developed by teams of specialists and the asymmetry of knowledge between domain specialists and requirements engineers. The knowledge management discipline promotes an integrated approach in order to face these challenges; therefore, a strategy for addressing requirements elicitation that incorporates techniques and methods of this discipline has been proposed as a serious approach to deal with those challenges. The valuable results of the application of the strategy in real cases prove empirical insights about its utility.

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The health industry utilizes critical machines to treat and diagnose illness in patients. Most hospitals cannot afford to have such a machine unavailable; then, they choose to have many components of their critical machines stored inside a warehouse in the hospital. This strategy helps to avoid larger idle times when a machine breaks down. In this chapter, the firefly metaheuristic was selected to solve this problem. This algorithm is related to the behavior of fireflies when they search for potential mating partners. It is also used as a defense against other insects. This behavior consists in the light that they produce. This brightness is the key in this algorithm because, based on this concept, we can use it to attract other fireflies. This characteristic inspired the method to pick components in hospital warehouses.

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Este artículo tiene como objetivo comunicar los resultados del uso de la metodología KDSM (Knowledge Management in Serial Measurements) para gestionar conocimiento proveniente de un estudio que emplea la Terapia Electro-Convulsiva (TEC) en 183 pacientes con diversos padecimientos psiquiátricos severos. La organización de la información de la TEC es singular, pues caracteriza cuantitativa y cualitativamente tanto al paciente como a la TEC misma, y además abarca medidas seriadas muy cortas y repetidas donde se ejerce un factor de bloque por parte del paciente y que representa el monitoreo de la evolución del mismo tras cada aplicación de un electrochoque (ES). La implementación de la metodología KDSM permite al especialista obtener conocimiento valioso que posibilita visualizar e interpretar la respuesta de los pacientes y la misma TEC y, a la postre, optimizar cada sesión de ES y consecuentemente minimizar los efectos secundarios, como lo es la pérdida de memoria.

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Social networks have moved from online sites to interact with your friends to a platform where people, artists, brands, and even presidents interact with crowds of people daily. Airlines are some of the companies that use social networks such as Twitter to communicate with their clients through messages with offers, travel recommendations, videos of collaborations with YouTubers, and surveys. Among the many responses to airline tweets, there are users' suggestions on how to improve their services or processes. These recommendations are essential since the success of many companies is based on offering what the client wants or needs. A database of tweets was created using user tweets sent to airline accounts on Twitter between July 30 (2019) and August 8 (2019). Natural language processing techniques were used on the database to preprocess its data. The latest classification results using Naive Bayes show an accuracy of 72.44%.