68 research outputs found

    Klein-Gordon Oscillator in Kaluza-Klein Theory

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    In this contribution we study the Klein-Gordon oscillator on the curved background within the Kaluza-Klein theory. The problem of interaction between particles coupled harmonically with a topological defects in Kaluza-Klein theory is studied. We consider a series of topological defects, that treat the Klein-Gordon oscillator coupled to this background and find the energy levels and corresponding eigenfunctions in these cases. We show that the energy levels depend on the global parameters characterizing these spacetimes. We also investigate a quantum particle described by the Klein-Gordon oscillator interacting with a cosmic dislocation in Som-Raychaudhuri spacetime in the presence of homogeneous magnetic field in a Kaluza-Klein theory. In this case, the spectrum of energy is determined, and we observe that these energy levels are the sum of the term related with Aharonov-Bohm flux and of the parameter associated to the rotation of the spacetime.Comment: 15 pages, no figur

    Construção de uma Unidade de Ensino Potencialmente Significativa para o Experimento de Hertz

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    Desenvolvemos uma proposta didática de aplicação de uma UEPS (Unidade de Ensino Potencialmente Significativa) para o Experimento de Hertz com relação ao conteúdo das ondas eletromagnéticas pelo fato de ser um tipo de abordagem que faz relevância aos conhecimentos prévios do discente, tendo-o como foco principal a construção do conhecimento significativo. Incluímos a prática do experimento de Hertz com adaptações com a finalidade de enriquecer o trabalho didático de modo a fazermos uma conexão com o tempo das descobertas dessas ondas até os dias atuais. Onde grande parte de nossas tecnologias fazem uso avançado do fenômeno da emissão e captura de sinais eletromagnéticos. Palavras chave: ensino de física, experimento de Hertz, ondas eletromagnéticas

    Dynamic decision-making based on NFR for managing software variability and configuration selection

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    Due to dynamic variability, identifying the specific conditions under which non-functional requirements (NFRs) are satisfied may be only possible at runtime. Therefore, it is necessary to consider the dynamic treatment of relevant information during the requirements specifications. The associated data can be gathered by monitoring the execution of the application and its underlying environment to support reasoning about how the current application configuration is fulfilling the established requirements. This paper presents a dynamic decision-making infrastructure to support both NFRs representation and monitoring, and to reason about the degree of satisfaction of NFRs during runtime. The infrastructure is composed of: (i) an extended feature model aligned with a domain-specific language for representing NFRs to be monitored at runtime; (ii) a monitoring infrastructure to continuously assess NFRs at runtime; and (iii) a exible decision-making process to select the best available configuration based on the satisfaction degree of the NRFs. The evaluation of the approach has shown that it is able to choose application configurations that well fit user NFRs based on runtime information. The evaluation also revealed that the proposed infrastructure provided consistent indicators regarding the best application configurations that fit user NFRs. Finally, a benefit of our approach is that it allows us to quantify the level of satisfaction with respect to NFRs specification

    Mastering interactions with Internet of Things platforms through the IoTVar middleware

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    International audienceThe rising popularity of the Internet of Things (IoT) has led to a plethora of highly heterogeneous, geographically dispersed devices. In recent years, IoT platforms have been used to provide a variety of services to applications such as device discovery, context management, and data analysis. However, the lack of standardization currently means that each IoT platform comes with its own abstractions, APIs, and interactions. As a consequence, programming the interactions between an application and an IoT platform is often time consuming, error prone, and depends on the developers' level of knowledge about the IoT platform. To address these issues, we propose offering to application developers on the client side the possibility to declare variables that are automatically mapped to sensors and whose values are transparently updated with sensor observations. For this purpose, we introduce IoTVar, a middleware between IoT applications and platforms. In IoTVar, all the necessary interactions with IoT platforms are managed by proxies. This paper presents IoTVar integrated with the FIWARE platform, which is used for developing IoT Future Internet applications. We also report results of some experiments performed to evaluate IoTVar, showing IoTVar reduces the effort required to declare and manage IoT variables and its impact in terms of CPU, memory, and energy

    Um Estudo sobre o uso de fases geométricas na física

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    Com o trabalho de Aharonov e Bohm em 1959, a história viu um constante crescimento no número de trabalhos que focavam seus esforços na pesquisa do conceito de fases geométricas, em especial, a área da física da matéria condensada e suas aplicações deu grandes contribuições para a compreensão de causa e efeitos de tal abstração, tão profunda foram as pesquisas que por se só formaram um ramo completamente novo. Transpassando pela concepção de processos holonômicos na mecânica quântica, o teorema adiabático, a fase de Berry e sua categorização como independente do tempo e o efeito Aharonov-Bohm, é possível ter uma compreensão abrangente sobre a ocorrência e o uso das fases geométricas, onde, por fim podemos referenciar aplicações da contemporaneidade, especificamente na área  da computação quântica onde tais conceitos podem ser aplicados afim de criar sistemas estáveis e tolerante a falhas

    The relationship between melatonin and sleep quality and its weight loss benefits

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    Melatonin is an endogenous substance easily found in the body. It is conceptualized as a hormone, derived from serotonin, synthesized by the pineal gland during the night period. As a hormone, melatonin has several functions, such as immunomodulation, antioxidant, anti-inflammatory, and antitumor, however its most compliant function is the control of the circadian rhythm, in addition to regularizing seasonality. Sleep is one of the primordial needs of the human being, after a period of physical and mental activities, it has a fundamental role to relax and re-establish the organism for a new cycle of activities. Thus, melatonin acts as a metabolism regulator influencing the quality of life, and its effectiveness in inducing sleep has led pharmaceutical companies to launch its synthetic version, widely sold as a supplement in some countries such as the United States and Europe. To analyze the importance of melatonin in the regulation of sleep, as well as to characterize its functions in the body that contribute to weight control. The work methodology consisted of a literature review, carried out through previously published research studies. Based on the literary subsidies that supported this research, it is concluded that the benefits achieved with the use of melatonin encompass the alignment of the sleep cycle and contribute to weight control, which may influence weight loss, as well as in other areas of the body
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