331 research outputs found

    Professor tutor : contribuições ao processo de aprendizagem em ead

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    Uma das modalidades de ensino amplamente discutida e considerada emergente na sociedade contemporânea, para atender a demanda crescente de estudantes que ingressam no ensino superior, é a educação a distância, que recorre as ações de tutoria para atendimento e elucidação das dúvidas dos estudantes. Este texto tem por objetivo promover reflexões sobre a ação didática do professor tutor na Educação a Distância, portanto abordamos algumas questões teóricas e epistemológicas que envolvem a educação; conversamos sobre a importância da utilização de ferramentas que propiciem a interação, a cooperação e a autonomia do estudante nessa modalidade de ensino; e tecemos algumas considerações sobre a prática da tutoria

    The neonicotinoid insecticide thiacloprid impacts upon bumblebee colony development under field conditions

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    The impacts of pesticides, and in particular of neonicotinoids, on bee health remain much debated. Many studies describing negative effects have been criticised as the experimental protocol did not perfectly simulate real-life field scenarios. Here, we placed free-flying bumblebee colonies next to raspberry crops that were either untreated or treated with the neonicotinoid thiacloprid as part of normal farming practice. Colonies were exposed to the raspberry crops for a two week period before being relocated to either a flower-rich or flower-poor site. Overall, exposed colonies were more likely to die prematurely, and those that survived reached a lower final weight and produced 46% fewer reproductives than colonies placed at control farms. The impact was more marked at the flower-rich site (all colonies performed poorly at the flower poor site). Analysis of nectar and pollen stores from bumblebee colonies placed at the same raspberry farms revealed thiacloprid residues of up to 771ppb in pollen and up to 561ppb in nectar. The image of thiacloprid as a relatively benign neonicotinoid should now be questioned

    Morfologia de machos e fêmeas de Euglossa annectans Dresler 1982 (Hymenoptera, Apidae, Euglossini).

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    Foram coletados dados de morfometria de machos e fêmeas de Euglossa annectans em condições de laboratório, de um grupo de células separado artificialmente, a partir de um ninho alojado espontaneamente em caixa racional de abelhas sem ferrão

    Iris: an Extensible Application for Building and Analyzing Spectral Energy Distributions

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    Iris is an extensible application that provides astronomers with a user-friendly interface capable of ingesting broad-band data from many different sources in order to build, explore, and model spectral energy distributions (SEDs). Iris takes advantage of the standards defined by the International Virtual Observatory Alliance, but hides the technicalities of such standards by implementing different layers of abstraction on top of them. Such intermediate layers provide hooks that users and developers can exploit in order to extend the capabilities provided by Iris. For instance, custom Python models can be combined in arbitrary ways with the Iris built-in models or with other custom functions. As such, Iris offers a platform for the development and integration of SED data, services, and applications, either from the user's system or from the web. In this paper we describe the built-in features provided by Iris for building and analyzing SEDs. We also explore in some detail the Iris framework and software development kit, showing how astronomers and software developers can plug their code into an integrated SED analysis environment.Comment: 18 pages, 8 figures, accepted for publication in Astronomy & Computin

    Investment Responsibility of Professional Trustees

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    Mind-body relationships in elite apnea divers during breath holding: a study of autonomic responses to acute hypoxemia

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    The mental control of ventilation with all associated phenomena, from relaxation to modulation of emotions, from cardiovascular to metabolic adaptations, constitutes a psychophysiological condition characterizing voluntary breath-holding (BH). BH induces several autonomic responses, involving both autonomic cardiovascular and cutaneous pathways, whose characterization is the main aim of this study. Electrocardiogram and skin conductance (SC) recordings were collected from 14 elite divers during three conditions: free breathing (FB), normoxic phase of BH (NPBH) and hypoxic phase of BH (HPBH). Thus, we compared a set of features describing signal dynamics between the three experimental conditions: from heart rate variability (HRV) features (in time and frequency-domains and by using nonlinear methods) to rate and shape of spontaneous SC responses (SCRs). The main result of the study rises by applying a Factor Analysis to the subset of features significantly changed in the two BH phases. Indeed, the Factor Analysis allowed to uncover the structure of latent factors which modeled the autonomic response: a factor describing the autonomic balance (AB), one the information increase rate (IIR), and a latter the central nervous system driver (CNSD). The BH did not disrupt the FB factorial structure, and only few features moved among factors. Factor Analysis indicates that during BH (1) only the SC described the emotional output, (2) the sympathetic tone on heart did not change, (3) the dynamics of interbeats intervals showed an increase of long-range correlation that anticipates the HPBH, followed by a drop to a random behavior. In conclusion, data show that the autonomic control on heart rate and SC are differentially modulated during BH, which could be related to a more pronounced effect on emotional control induced by the mental training to BH

    Data Deluge in Astrophysics: Photometric Redshifts as a Template Use Case

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    Astronomy has entered the big data era and Machine Learning based methods have found widespread use in a large variety of astronomical applications. This is demonstrated by the recent huge increase in the number of publications making use of this new approach. The usage of machine learning methods, however is still far from trivial and many problems still need to be solved. Using the evaluation of photometric redshifts as a case study, we outline the main problems and some ongoing efforts to solve them.Comment: 13 pages, 3 figures, Springer's Communications in Computer and Information Science (CCIS), Vol. 82
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