Parodiolyra is a member of Olyreae, a tribe of herbaceous bamboo species within the Poaceae. The genus has five species, four of which were previously regarded as belonging to Olyra L. Parodiolyra has a Neotropical distribution and only two species occur on forests in Eastern Brazil: P. micrantha (Kunth) Zuloaga & Davidse and P. ramosissima (Trin.) Soderstr. & Zuloaga, the first widely distributed in the Neotropics while the second is endemic to the state of Bahia. Leaf anatomy of the two species was analysed with the aid of an optical microscope. The objective was to describe the microscopic characters and evaluate if they can be useful for the taxonomy of the genus. The observed anatomical structures did not differ from other genera of herbaceous bamboos, however some characters, both from the mesophyll and the epidermis, were useful to delimit the two species.

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O artigo tem por objetivo apresentar uma análise comparativa, com abordagem quantitativa e diatópica, referente a termos registrados no Atlas Linguístico Galego em relação aos coletados no Twitter. Especificamente, pretende-se analisar a vitalidade dos termos que constam no ALGa (volume V), verificando-se se tais termos continuam sendo utilizados para se comunicar nos tweets. Para concretização do objetivo, desenvolveu-se uma metodologia específica que foi testada com os dados selecionados. Os resultados obtidos revelam que é possível analisar a vitalidade de alguns termos, mas que alguns ajustes metodológicos são necessários a fim de alcançar o objetivo com os termos do ALGa.

The Internet of Things (IoT) connects many devices daily together in the same environment. Each device may follow the set of rules from a static environment. A static environment is usually controlled by an expert who knows all the necessary rules to provide this environment. The violation of one rule can cause a feature interaction. A feature interaction occurs when two or more devices generate instability in an environment. In a dynamic environment like IoT, devices' inclusion, and exclusion make it impossible for an expert to maintain all these rules up-to-date. It is necessary to provide an automatic solution to avoid violating these rules and maintain the environment's good performance. Thus, this work introduces a new approach to detect a feature interaction in dynamic environments automatically. Almost all previous work provide static rules defined by an expert in a controlled environment to detect an interaction. However, this is not possible in dynamic environments because of the number of device interactions and the number of device connections in/out, which grow exponentially in IoT environments. We started with a lightweight systematic review to better position our research, and then we identified one gap to provide our solution. Thus, our method learns to detect the interactions based on data analysis and then automatically predict the device detections in IoT environments. Datasets were manually annotated. Experiments were performed, and results provide evidence that automatic detection of a set of device interactions is possible in similar or either in complementary domains.

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Abstract. Heterogeneous devices in IoT need to communicate and web services can provide such interoperability. However, it is necessary to embed those web services on such devices. Our work describes the development of the course MAT700 at the Federal University of Bahia aimed to provide knowledge to interoperate heterogeneous devices by web services. Finally, we evaluated various aspects related to the course, including learning, content, didactics, in order to validate our proposed interdisciplinary methodology. The results showed that the interdisciplinary contributed to the individual learning and growth learners. Keywords: heterogeneous devices, interdisciplinary, web services IntroduçãoAtualmente muito se tem discutido a respeito da Internet das Coisas (Internet of Things -IoT), cujo propósito está na conexão de "coisas" do mundo físico ao mundo da Internet de forma que estes passem a ser reconhecidos e tratados como qualquer recurso. Estes recursos têm utilizado protocolos e padrões já existentes, como por exemplo HTTP (Hypertext Transfer Protocol) e URIs (Uniform Resource Identifier) (Guinard, 2010).A possibilidade de inserção de diferentes dispositivos físicos ("coisas") na Web representa um cenário propício para utilização dos dados e serviços compartilhados por eles na concepção de novas aplicações. Um fator relevante, que de certa forma pode se tornar impeditivo nesse contexto está atrelado ao formato de como eles se conectam a Internet, já que, em sua maioria, esta conectividade é subsidiada por softwares dedicados e interfaces proprietárias (Guinard, 2010). Em se tratando dos mesmos fornecedores, a comunicação entre dispositivos muitas vezes ocorre de maneira fácil e rápida. Com o avanço e a proliferação da Internet das Coisas, novos dispositivos estão sendo incorporados na rede, independente de fabricante, o que vem dificultando a comunicação e consequentemente a interoperabilidade entre estes dispositivos. Neste sentido, interoperar dois dispositivos distintos com o intuito de que haja uma mínima comunicação entre eles, tem se tornado uma tarefa árdua para a maioria dos desenvolvedores.