The agenda of researchers and practitioners in the tourism industry has focused on the demand for sustainable practices. Luxury hotels have also followed this trend, although studies are still limited. The aim of this study is to understand what environmental and social sustainability practices luxury hotels are adopting and how their management perceive the benefits and results from their adoption. This empirical research is based on a case study that triangulates data from semi-structured interviews, document analysis, and observation. The results show that luxury hotels have implemented environmental practices that address energy efficiency measures that reduce water consumption, waste, and carbon emissions and that control, protect, and maintain fauna and flora to promote of unique natural landscapes. They have focused on social practices that address the relations with charitable institutions, provide consumers high-quality services, and create a safe and healthy work environment. Luxury hotels have successfully implemented these practices to reduce operational costs. The study’s findings provide practical guidance for hotel managers who seek to implement sustainability practices.

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In the first section, Introduction, we present our experimental design.In the second section, we characterize the grand average occipital and temporal electrical activity correlated with a contrast in access.In the third section, we characterize the grand average occipital and temporal electrical activity correlated with a contrast in phenomenology and conclude characterizing the grand average occipital and temporal electrical activity co-occurring with unconsciousness.

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O conceito de cidades inteligentes vem se expandindo nos últimos anos e está cada vez mais presente em nosso cotidiano, mudando a forma como interagimos com outras pessoas e com a própria cidade. Graças ao progresso da tecnologia da informação, a Internet das Coisas, ou simplesmente IoT, tem contribuído fortemente para o desenvolvimento de soluções inteligentes, aprimorando o monitoramento e controle dos dispositivos. Assim, o problema de gerenciamento de acesso torna-se relevante, motivando o desenvolvimento de soluções para o seu aprimoramento. Este trabalho propõe um sistema de monitoramento e controle de acesso de múltiplos ambientes em um edifício institucional. A arquitetura do sistema proposto será baseada na computação em névoa. Uma trava inteligente foi projetada usando o microcontrolador ESP8266, programado para controlar e monitorar os ambientes com mais eficiência e segurança.

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The analogy between life and information-for example, pattern recognition, with hierarchical structure and suitable weightings for constituent features (Kurzweil, 2012)-seems to be central to the effect that artificial mind may represents an expected advance in the evolution of life in the universe, since information (namely, pattern recognition) is supposed to be the essence of mind and is implemented by the same basic neural mechanisms. And since we can replicate these mechanisms in a machine, there is nothing to prevent us from setting up an artificial mind. We just need to install 1 the right pattern recognizers. THE ARTIFICIAL MIND AND COGNITIVE SCIENCEThe area of artificial mind research can be described as including the following: machine learning, reasoning, knowledge representation, restriction fulfillment, search, planning, and scheduling, agents, robotics, philosophical foundations, natural language processing, perception and vision, cognitive modeling, knowledge, and applications engineering. The main core consists of the first three: machine learning, reasoning, and knowledge representation. Now let's look at the area of cognitive science research.Consider the following items: perception and action, memory, attention and consciousness, so-called nuclear knowledge, classification, lexicon and ontology, learning, language and representation, choice, rationality and decision, culture, and social awareness. The area of study that includes these concepts is explored by cognitive science research, with artificial mind research as a major part of it. In a way, cybernetics, computer sciences, language sciences, neurosciences, brain sciences, 1 To create a mind, as argued by Kurzweil (2012), we need to create a machine that recognizes patterns, such as letters and words. Consider the task of translating a paper. Despite our best efforts to develop artificial universal translators, humans are still very far from being able to express what we write in another language.