997 resultados para Tin Can API


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Nitrogen is essential for the normal growth of fish. It is an important ingredient in fish feed but is very expensive. There is evidence that nitrogen loading from feeding and metabolic activities of fish can cause pollution of the receiving waters. This paper reviews nitrogen losses and nitrogen retention in fish and suggests ways of reducing nitrogen loading to the environment for a sustainable aquaculture program.

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Plant community ecologists use the null model approach to infer assembly processes from observed patterns of species co-occurrence. In about a third of published studies, the null hypothesis of random assembly cannot be rejected. When this occurs, plant ecologists interpret that the observed random pattern is not environmentally constrained - but probably generated by stochastic processes. The null model approach (using the C-score and the discrepancy index) was used to test for random assembly under two simulation algorithms. Logistic regression, distance-based redundancy analysis, and constrained ordination were used to test for environmental determinism (species segregation along environmental gradients or turnover and species aggregation). This article introduces an environmentally determined community of alpine hydrophytes that presents itself as randomly assembled. The pathway through which the random pattern arises in this community is suggested to be as follows: Two simultaneous environmental processes, one leading to species aggregation and the other leading to species segregation, concurrently generate the observed pattern, which results to be neither aggregated nor segregated - but random. A simulation study supports this suggestion. Although apparently simple, the null model approach seems to assume that a single ecological factor prevails or that if several factors decisively influence the community, then they all exert their influence in the same direction, generating either aggregation or segregation. As these assumptions are unlikely to hold in most cases and assembly processes cannot be inferred from random patterns, we would like to propose plant ecologists to investigate specifically the ecological processes responsible for observed random patterns, instead of trying to infer processes from patterns

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Argentine hake (Merluccius hubbsi) inhabit waters of the Southwest Atlantic Ocean between 22° and 55°S, at depths ranging from 50 to 500 m (Cousseau and Perrota, 1998). This species has historically been among the more abundant fish resources in the Argentine Sea, where its biomass has ranged between one and two million metric tons annually since 1986 (Aubone et al., 2000). In this area, there are two identified fishing stocks, limited by the 41°S parallel. The southern group (Patagonian stock) is the more important with an abundance of about 85% of the total biomass estimated for this species in 1999 (Aubone et al., 2000). During the late 1990s, the spawning biomass of both stocks and their recruitment indices declined drastically, both of which were attributed to an increase in exploitation (Aubone et al., 2000).

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Invasive species generate significant environmental and economic costs, with maintenance management constituting a major expenditure. Such costs are generated by invasive Indo-Pacific lionfish (Pterois spp.) that further threaten already stressed coral reefs in the western Atlantic Ocean and Caribbean Sea. This brief review documents rapid range expansion and potential impacts of lionfish. In addition, preliminary experimental data from targeted removals contribute to debates about maintenance management. Removals at sites off Little Cayman Island shifted the size frequency distribution of remaining lionfish toward smaller individuals whose stomachs contained less prey and fewer fish. Fewer lionfish and decreased predation on threatened grouper, herbivores and other economically and ecologically important fishes represent key steps toward protecting reefs. However, complete evaluation of success requires long-term data detailing immigration and recruitment by lionfish, compensatory growth and reproduction of lionfish, reduced direct effects on prey assemblages, and reduced indirect effects mediated by competition for food. Preventing introductions is the best way to avoid impacts from invasive species and early detection linked to rapid response ranks second. Nevertheless, results from this case study suggest that targeted removals represent a viable option for shifting direct impacts of invasive lionfish away from highly vulnerable components of ecosystems.

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A realização da Internet das Coisas (Internet of Things, IoT) requer a integração e interação de dispositivos e serviços com protocolos de comunicação heterogêneos. Os dados gerados pelos dispositivos precisam ser analisados e interpretados em concordância com um modelo de dados em comum, o que pode ser solucionado com o uso de tecnologias de modelagem semântica, processamento, raciocínio e persistência de dados. A computação ciente de contexto possui soluções para estes desafios com mecanismos que associam os dados de contexto com dados coletados pelos dispositivos. Entretanto, a IoT precisa ir além da computação ciente de contexto, sendo simultaneamente necessário soluções para aspectos de segurança, privacidade e escalabilidade. Para integração destas tecnologias é necessário o suporte de uma infraestrutura, que pode ser implementada como um middleware. No entanto, uma solução centralizada de integração de dispositivos heterogêneos pode afetar escalabilidade. Assim esta integração é delegada para agentes de software, que são responsáveis por integrar os dispositivos e serviços, encapsulando as especificidades das suas interfaces e protocolos de comunicação. Neste trabalho são explorados os aspectos de segurança, persistência e nomeação para agentes de recursos. Para este fim foi desenvolvido o ContQuest, um framework, que facilita a integração de novos recursos e o desenvolvimento de aplicações cientes de contexto para a IoT, através de uma arquitetura de serviços e um modelo de dados. O ContQuest inclui soluções consistentes para os aspectos de persistência, segurança e controle de acesso tanto para os serviços de middleware, como para os Agentes de Recursos, que encapsulam dispositivos e serviços, e aplicações-clientes. O ContQuest utiliza OWL para a modelagem dos recursos e inclui um mecanismo de geração de identificadores únicos universais nas ontologias. Um protótipo do ContQuest foi desenvolvido e validado com a integração de três Agentes de Recurso para dispositivos reais: um dispositivo Arduino, um leitor de RFID e uma rede de sensores. Foi também realizado um experimento para avaliação de desempenho dos componentes do sistema, em que se observou o impacto do mecanismo de segurança proposto no desempenho do protótipo. Os resultados da validação e do desempenho são satisfatórios